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Radziszewska, Aleksandra. "Quality Assessment of E-Commerce Service in the Context of Customer Expiriences." Multidisciplinary Aspects of Production Engineering 1, no. 1 (2018): 635–40. http://dx.doi.org/10.2478/mape-2018-0080.
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Abstract With rapid growth of the Internet, companies adopted the new information and communication technology to offer e-services to their customers. This paper addresses e-service quality issue in the electronic marketplace. Service quality of e-retailers has been recognized as an important factor in determining success of e-commerce ventures. The objective of this research is to develop a theoretical, comprehensive, and measurable framework for assessing the quality of e-commerce services and to indicate factors, which are significant for customers satisfaction and high quality online shopping experiences. This paper reviewed the most recognized evaluation criteria, which are used in different e-commerce websites, and proposes a general comprehensive framework for evaluating the quality of any e-commerce service regarding to two main areas: website features and customer service in e-commerce platform. The detailed list of quality attributes in both assessment areas was derived from the reviewed literature. The survey and analysis described in this paper enable a better understanding of the influence these quality attributes on the main quality assessment categories. The results provide an important foundation for the understanding of quality in e-commerce services that will allow to assess the strengths and weaknesses of each e-commerce service. This paper concludes by discussing the findings of this study and highlighting areas for the future research.
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Khan, Mukaram Ali, Syed Sohaib Zubair, and Maria Malik. "An assessment of e-service quality, e-satisfaction and e-loyalty." South Asian Journal of Business Studies 8, no. 3 (2019): 283–302. http://dx.doi.org/10.1108/sajbs-01-2019-0016.
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Purpose The purpose of this paper is to examine e-service quality (E-SQ) of online shopping in Pakistan using “E-S-QUAL scale.” Moreover, in this study, the relationship of E-SQ with e-customer satisfaction (E-CS) and e-customer loyalty (E-CL) has been studied. Design/methodology/approach Following a quantitative research methodology, data were collected from 298 respondents using convenience sampling and survey research design was followed. In order to develop the model and test the hypotheses, structure equation modeling (SEM) was done through AMOS. Findings Findings indicate that all of the first latent constructs are significant where E-CS and E-CL (dependent variables) are influenced by E-SQ (independent variable). Using SEM, statistically fit structural model was developed on the basis of confirmatory factor analysis. The analysis shows that there is a strong positive relation between E-SQ and E-CS and E-SQ and E-CL. Practical implications Asian markets have been identified as the fastest growing e-commerce markets in present era. Similarly, retail sector in Pakistan is booming, at the same time an exponential increase is being observed in the number of internet users and online shopping. It is important for marketers and retailers to explore new horizons and enter the age of e-commerce for expansion of their businesses. Originality/value The increasingly wide use of the internet is influencing everything around the globe and these emerging e-commerce trends have tremendously changed the mode of shopping from brick and mortars to e-stores. The study explores the e-commerce and focuses on E-SQ and its impact on E-CS and E-CL in the context of a developing economy, i.e. Pakistan, uncovering the key dimensions and attributes.
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Wang, Ming. "Assessment of E-Service Quality via E-Satisfaction in E-Commerce Globalization." Electronic Journal of Information Systems in Developing Countries 11, no. 1 (2003): 1–4. http://dx.doi.org/10.1002/j.1681-4835.2003.tb00073.x.
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Radziszewska, Aleksandra. "Assessment of customer’s satisfaction in e-commerce services." Zeszyty Naukowe SGGW, Polityki Europejskie, Finanse i Marketing, no. 9(58) (June 28, 2013): 383–93. http://dx.doi.org/10.22630/pefim.2013.9.58.33.
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The aim of this paper is to review various dimensions or measures of e-service quality in the context of online shopping. Based on the literature review an alternative online satisfaction assessment model has been proposed. The primary purpose of the paper is to study the relationships between the main dimensions of e-commerce quality and the e-customer satisfaction. By using correlation analysis the statistical significance and influence of proposed e-satisfaction factors has been indicated.
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Guseva, Natalija. "Identification and Analysis of the Electronic Commerce Quality Criteria." Business: Theory and Practice 11, no. (2) (2010): 96–106. https://doi.org/10.3846/btp.2010.11.
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Internet penetration in everyday life determined the emergence of new business area, where the businessmen can compete, offer and buy goods and services. With the view to reinforce business competitive abilities it is necessary to analyse the e-solutions, which help to reduce the distance factors and optimize information exchange process, and which become an indispensable tool for international business and marketing. This paper presents a literature review and analysis to find the guidelines of e-commerce quality assessment and choice of appropriate system, with a vast range of models proposed for e-solution quality evaluation, none of which was accepted globally. However, a content analysis allowed to identify the main groups of criteria to be applied for e-commerce quality evaluation. The list of criteria groups presented in the paper indicates those most considered by scientists and developers, and those deficient in attention. As the literature base is accumulated during long term, some of the proposed criteria could lose their importance nowadays, thus the e-commerce expert survey was performed. This survey allowed the specification of actually important e-commerce quality criteria. Despite the assumption that the most mentioned (in the literature and by the experts) criteria are of the first priority, the competitive advantage can be hidden in the analysis of less popular criteria, which can discover new potential of e-commerce quality improving, developing, and market position consolidation.
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Li, Chao, Jun Xiang, and Shiqiang Chen. "Product Quality Assessment Based on Online Reviews." International Journal of Decision Support System Technology 11, no. 3 (2019): 81–97. http://dx.doi.org/10.4018/ijdsst.2019070105.
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Reviews can reflect the degree of consumers' satisfaction and views on product quality, and consumers tend to read product reviews and then get helpful information about product quality before placing an order in e-commerce platforms. However, the existing research mainly focus on the assessment of review quality, fake review detection, opinion mining, and there is little research to assess product quality from the perspectives of product features based on reviews objectively and quantifialy. Therefore, the authors propose a method to assess product quality based on reviews in a granularity of product feature. The authors define the related quality dimensions and develop the corresponding assessment models, assess the review quality crawled from an e-commerce platform, then extract product features and opinion words from the quality reviews, and finally assess product quality on the extracted and consumer-concerned features. Experiment results demonstrate the methodology can achieve the assessment of product quality on any feature objectively and quantificationally.
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VOLOSHYN, Roman. "COMMODITY EXPERTISE IN E-COMMERCE." "EСONOMY. FINANСES. MANAGEMENT: Topical issues of science and practical activity", no. 4 (70) (December 24, 2024): 53–64. https://doi.org/10.37128/2411-4413-2024-4-4.
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The article addresses the pressing issue of ensuring high product quality in the context of the rapid development of e-commerce. It explores the features of commodity expertise as a crucial tool for quality control, analyzing the factors influencing such expertise in both traditional and online trade. The study identifies the key challenges associated with conducting commodity expertise in remote sales conditions, including indirect contact with the examined object, difficulties in product identification, limited capabilities of commodity research methods, and the increasing impact of subjective evaluations, marketing, and social tools on consumers' perceptions of product quality. The research employs the general scientific methods and approaches, including systematic analysis, observation, comparison, generalization, dialectical methods, as well as control and synthesis techniques. Through comparative analysis, the differences between traditional and e-commerce approaches to commodity expertise are identified, demonstrating the dependence of quality control in e-commerce on informal assessment tools such as ratings, consumer reviews, blogger recommendations, and expert reviews. The study highlights the shortcomings of these mechanisms due to their low objectivity, susceptibility to manipulation, and lack of professionalism. The article proposes ways to improve the methodology of commodity expertise in e-commerce by leveraging digital technologies that can compensate for the limitations of traditional quality control methods. Key recommendations emphasize the potential of blockchain to enhance transparency in product origin and movement, the Internet of Things (IoT) for real-time monitoring of product parameters, big data analytics and artificial intelligence for detecting fraudulent reviews, ratings, and sellers, as well as 3D scanning for remote evaluation of product characteristics. Based on the findings, the study concludes that there is a need to revise the methodological foundations of commodity expertise to better regulate quality control processes in online trade.
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Ganie, Sumeer Ahmad, and Mushtaq Ahmad Bhat. "Impact of E-service Quality on Customer Satisfaction: An Empirical Assessment." International Journal of Management and Development Studies 12, no. 06 (2023): 41–51. http://dx.doi.org/10.53983/ijmds.v12n06.004.
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Ensuring a service quality is a top concern for all e-commerce platforms since it is vital in ensuring customer pleasure, which is the ultimate goal of all e-commerce operations. This study aims to investigate the influence of e-service quality on customer satisfaction in an online buying environment using its seven aspects. A well-structured questionnaire was created to elicit respondents' opinions on the quality of e-services and their degree of satisfaction. Data from 610 respondents revealed that the quality of e-services has a favorable and significant influence on customer satisfaction. According to the survey, contact and privacy influence customer satisfaction the most, followed by system availability and efficiency. According to the report, e-retailers should focus on crucial e-service quality characteristics to guarantee that their offerings fit client wants and preferences. The study also recommended improvement areas to increase consumer happiness and assure long-term success.
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Mahdikhani, Mehri, and Bita Yazdani. "Transformational leadership and service quality in e-commerce businesses." International Journal of Law and Management 62, no. 1 (2020): 23–46. http://dx.doi.org/10.1108/ijlma-12-2018-0290.
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Purpose The purpose of this paper is to examine the transformational leadership and service quality in the businesses active in the field of e-commerce with the mediating role of trust and team performance. Design/methodology/approach Survey questionnaires were administered on a 384-subject sample of the employees of the teams working in electronic businesses in Iran. The structural equation modeling and partial least square techniques were used to analyze the data. Findings The results showed that transformational leadership has a positive impact on service quality and improves team performance. The effect of transformational leadership on the interpersonal trust and the trust on the team performance are also positive and significant. In summary, the improved performance also has a positive impact on service quality. Research limitations/implications The main limitation is the assessment by questionnaire because the questionnaires measure the attitudes of individuals, not the facts as they are, and the attitudes of individuals usually involve personal judgments and prejudices in the research. Also, examining the research model in different cultural domains may provide different results because of being influenced by different cultures. Hence, the authors recommend that the findings should be examined in other communities with different cultures. Originality/value Evaluating the impact of the transformational leadership on service quality (SERVPERF scale) by a survey of team trust and performance in e-business is an innovation in the influence assessment of these variables. The present research is considered applicable to the management science as new findings in organizational behavior studies and recognition of transformational leaders, as well as the positive impacts of the characteristics of them on individuals and followers.
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Shen, Weijie, Jiayue Zhang, Jin Wu, and Ziyue Hu. "Research on New Quality Productivity Issues in the Digital Age." Frontiers in Sustainable Development 4, no. 8 (2024): 91–105. http://dx.doi.org/10.54691/k352wd93.
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With the acceleration of globalisation, cross-border e-commerce supply chain plays an increasingly important role in China's economy. Against the backdrop of big data, this paper provides an in-depth assessment of the resilience of China's cross-border e-commerce supply chain from 2017 to 2022 using the Coherent Data Envelopment Analysis (CoDEA) methodology, and explores how the new quality of productivity empowers supply chain management in order to improve the overall efficiency and responsiveness to market changes. The study shows that the adaptability and resilience of cross-border e-commerce supply chains have improved significantly through the introduction of advanced information technology and digital tools. We should continue to strengthen the technological infrastructure of cross-border e-commerce supply chains, cultivate talents that meet the needs of new quality productivity, and further enhance the global competitiveness of supply chains through policy incentives and international cooperation.
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Putra, Andi, Rini Budiarni, and Nofelia Putri. "ANALYSIS OF PRODUCT ASSESSMENT RELATIONSHIP TO E-COMMERCE PRODUCT PURCHASE INTEREST SANJAI 3 SAUDARA." European Journal of Contemporary Business Law & Technology: Cyber Law, Blockchain, and Legal Innovations 1, no. 7 (2024): 60–69. https://doi.org/10.61796/ejcblt.v1i7.849.
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E-commerce has become a major platform for online transactions, where product ratings by customers serve as an indicator of quality and trust. This research aims to develop a web-based e-commerce application for Sanjai 3 Saudara and explore the impact of product ratings on online purchase interest. The application was developed using the Waterfall method, PHP, and the CodeIgniter Framework. The relationship between product ratings and purchase interest for the two best-selling products was analyzed using the Product Moment Correlation technique. To analyze the relationship between product assessment and e-commerce product purchase interest, you can break down the study into several key areas. The results showed a positive correlation between product ratings and online purchase interest, with a correlation coefficient of 0.703 for Sanjai Balado Bulat and 0.603 for Rendang Telur, indicating a strong correlation category. This approach will help provide a comprehensive analysis of how product assessments affect e-commerce purchase interest and offer actionable insights for improvement
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Zhanbozova, Aksaule, Tolkyn Azatbek, and Marat Myrzakhmet. "Assessing the impact of institutional environment quality on the development of e-commerce in developed and developing countries." Problems and Perspectives in Management 22, no. 3 (2024): 326–40. http://dx.doi.org/10.21511/ppm.22(3).2024.26.
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This study uses the new institutional economic theory and demonstrates how the quality of the institutional environment can be correlated with the development of e-commerce in different countries. The goal is to analyze the impact of international indices that assess the institutional environment on e-commerce penetration in countries with varying levels of economic development. The international indices used include the Networked Readiness Index, the E-Government Development Index, components of the Index of Economic Freedom, and indicators from The Worldwide Governance Indicators, such as control of corruption and rule of law. The level of e-commerce penetration was measured by its share in retail trade. The study analyzed developed countries with high e-commerce penetration, like the USA, the UK, Germany, South Korea, and Singapore, alongside developing countries, such as China, Turkey, Mexico, and Kazakhstan. The relationships between e-commerce penetration and international indices were identified using correlation analysis with the calculation of Spearman’s coefficient, followed by an assessment of the statistical significance of the obtained coefficients. The analysis revealed varying degrees of association between institutional quality and e-commerce penetration. Notably, the E-Government Development Index and the Networked Readiness Index showed positive correlations with e-commerce levels in all studied countries. However, the rule of law, control of corruption, and Investment Freedom indices showed varying correlations, indicating that these relationships are influenced by factors beyond economic development, such as political systems and regulatory approaches. AcknowledgmentThis study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (grant IRN AP14871419 “Formation of institutional environment of electronic commerce market in Kazakhstan, its evaluation and development mechanism”).
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Szyda, Monika, and Tomasz Studzieniecki. "Quality in e-commerce services related to maritime economy." Scientific Papers of Silesian University of Technology. Organization and Management Series 2024, no. 202 (2024): 549–64. http://dx.doi.org/10.29119/1641-3466.2024.202.34.
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Purpose: The aim of the study was to obtain information from respondents about the assessment of their satisfaction resulting from the identified features in the online commercial services provided. Design/methodology/approach: The article uses a qualitative study. The survey method was used, and the data was obtained through an online survey. The sample selection was purposeful, both in terms of respondents and the websites themselves. The expert method was used to study the websites, and the data was obtained through desk research. The theoretical scope of the work concerns the determination of attributes for assessing the quality of e-commerce services. The novelty of the article is the study of quality in the niche area of online trade related to the maritime economy (maritime e-commerce). Findings: Niche maritime e-commerce requires multidimensional shaping quality of commercial services. The quality of commercial services provided by online stores in maritime e-commerce, is more satisfying than in terms of services offered in this sphere of online trade. The quality of commercial services provided in maritime e-commerce requires improvement, especially in the technological dimension. Research limitations/implications: The niche nature of the study group meant that it was impossible to use random sampling, hence convenience sampling was used. The study group turned out to be quite hermetic, which caused difficulties in collecting data. Nevertheless, it is worth conducting research in such populations, even if it were to be considered preliminary or exploratory Practical implications: The article has application value. As a result of the research, areas requiring quality improvement in maritime e-commerce for two groups of business entities were indicated - online stores and entities providing services related to the maritime economy. Social implications: Social implications may concern the recognition of preferences of a niche group of consumers, which can also be considered a contribution to science. Originality/value: A niche area in e-commerce has been identified, concerning the maritime economy, which may contribute to science. Based on the literature, a new, original model for assessing the quality of commercial services has been developed, which can be used in any industry. Based on the results, recommendations have been collected for entrepreneurs operating in maritime e-commerce, which may also bring benefits to their customers. for whom it is worth improving the quality of services. Keywords: e-commerce, maritime e-commerce, online commercial service, service quality, quality management. Category of the paper: Research paper.
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M. Khooirul Muttaqin and Nursamsi Nursamsi. "E-Commerce sebagai Alat Perluasan Pengenalan Produk." Jurnal Publikasi Manajemen Informatika 3, no. 3 (2024): 01–14. https://doi.org/10.55606/jupumi.v3i3.3674.
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Someone who already has popularity is an important requirement, or called an Influencer. Website and Search Engine Optimization, utilizing technology does require creativity. Every form of technology needs a trick, because the current market is very plural, especially in the field of E-Commerce Food Quality, the products we produce must have good quality, especially in the culinary field. Taste, shape, texture and color will be an assessment in the eyes of the customer. The more consistent we are in maintaining it, the more it will have an impact on customer loyalty Segmentation in E-Commerce Marketing, companies on their way to expand the market, so it is necessary to segment (market sorting), which goals we will target for product marketing to match the goals that the company wants. Especially in the field of E-Commerce, it will be interesting later when we as business culinary actors are able to donate in E-Commerce.
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Lena Ellitan and Ani Suhartatik. "The Role of E-Trust and E-Service Quality in Building E-Loyalty and E-Satisfaction." J-CEKI : Jurnal Cendekia Ilmiah 2, no. 3 (2023): 303–11. http://dx.doi.org/10.56799/jceki.v2i3.834.
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The development of the internet in the modern era has an impact on changing people's lifestyles, including in terms of shopping, namely online shops. With the presence of this online shop, people originally preferred to shop directly facing the seller and see the goods they wanted to buy, now people are starting to switch to using online shopping facilities so that with internet-based technology, buyers and sellers do not need to meet face to face in carrying out the transaction process. The presence of e-commerce people easily promote their products through social media, but there is a drawback to this online shopping activity, where sellers and buyers do not meet in person, so trust is very important in determining whether or not transactions occur. In talking about marketplaces and e-commerce, the main thing that must be considered is e-trust. This is because there is no direct interaction between sellers and prospective buyers when shopping online on a marketplace and e-commerce sites. In connection with improving services by internet networks, the development of e-service quality was carried out. E-service qualiy is the development of the capabilities of a site in order to realize the effectiveness and efficiency of shopping, purchasing and product distribution facilities. Satisfaction with good service quality will be achieved if the reality is in accordance with consumer expectations. E-satisfaction is an assessment of the good and bad of the seller's service in meeting consumer expectations, which is carried out after the use of the product. Buyback of a product often occurs in consumers who assess the online shop site positively, conversely, if the assessment is lacking, the possibility of consumers changing brands is even greater. In online maintenance, consumers today really see all aspects related to products and services so that they don't just buy. The higher the level of satisfaction on an e-commerce site, the higher the loyalty that occurs. E-trust and e-service quality are the main keys in building e-satisfation and e-loyalty
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Król, Karol, Dariusz Zdonek, and Wojciech Sroka. "Assessing marketplace and e-commerce website quality with SEO score." Scientific Papers of Silesian University of Technology. Organization and Management Series 2024, no. 202 (2024): 287–303. http://dx.doi.org/10.29119/1641-3466.2024.202.18.
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Purpose: Search Engine Optimisation (SEO) covers processes aimed at improving website quality. SEO audits can be used to conduct comparative and competitive analyses to identify good practices employed by other online platforms. The article scores selected marketplace and e-commerce websites in terms of search engine optimisation. Design/methodology/approach: We analyse the quality of selected marketplace and e-commerce websites with synthetic aggregate metrics, so-called SEO Score. The first stage involved exploratory quality tests, whereby the home page source code was analysed for every website. The second stage was algorithmic tests using selected online tools. Findings: The websites scored 2,126 out of 3,000 points in total. It is 71% of the maximum score. This means that, according to the test applications, not many attributes require SEO effort under the employed research design. Four out of the five tested websites had their names (brands) in the meta description tag. All the portals had the title tag. However, only one site had the meta keywords tag. Originality/value: The research apparatus employed is sufficient to identify basic design flaws, which makes it useful for competitive analysis. Our algorithmic analysis pinpointed differences in the quality of leading marketplace and e-commerce websites in Poland. The exploratory research revealed certain good practices regarding meta information on marketplace and e-commerce websites, which may affect SEO. Keywords: quality assessment, quality metrics, competitive analysis, SEO audit, e-commerce websites. Category of the paper: research paper.
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Ingaldi, Manuela. "E-Service Quality Assessment According to Hierarchical Service Quality Models." Management Systems in Production Engineering 30, no. 4 (2022): 311–18. http://dx.doi.org/10.2478/mspe-2022-0040.
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Abstract E-commerce is becoming more and more popular. The COVID-19 pandemic made its development even faster. Currently, an enterprise that does not provide its services via the Internet is suffering heavy losses. Online shopping is largely different from traditional purchases, so their assessment should be made on the basis of different criteria. The aim of the paper was to assess the quality of services provided by the selected e-shop, in terms of its commercial services. The first stage of the research was the analysis of the literature in terms of hierarchical models of e-service quality, which in their structure indicate the areas of assessment. This allowed for the construction of the author’s hierarchical model of e-services and for making a list of attributes that were used in further research. On the example of the clothing e-shop, an analysis of the provided services was made, taking into account the opinions of its customers. The Importance Performance Analysis (IPA) was selected as the basis for conducting the survey research and analyzing its results, which facilitates the commenting of the obtained results. The research allowed to indicate the strengths and weaknesses of the examined e-shop, but also to identify areas requiring improvement in order to increase the quality of the offered services, as well as the customers satisfaction.
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Damayanti, Rahayu, and Zaldy Adrianto. "MACHINE LEARNING FOR E-COMMERCE FRAUD DETECTION." Jurnal Riset Akuntansi Dan Bisnis Airlangga 8, no. 2 (2023): 1562–77. http://dx.doi.org/10.20473/jraba.v8i2.48559.
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The study examines the effectiveness, challenges, and best machine learning algorithms for detecting e-commerce fraud. This study uses a systematic literature review to evaluate the effectiveness of machine learning-based e-commerce fraud detection, identify challenges, and identify the most effective techniques. The study examinedliterature extracted from the ScienceDirect, Emeralds, Wiley, and Springer databases, identifying 29 publications from recognized journals from 2012–2022, filtered using limitations and quality assessment criteria, and assessing paper eligibility. This study reveals that machine learning significantly enhances the accuracy of detecting e-commerce fraud. Yet, there are a number of issues that need to be resolved before machine learning can be utilized to detect e-commerce fraud. Poorer-quality data distribution is the biggest challenge in detecting e-commerce fraud. In order to determine the best machine learning strategy, the model's accuracy was also evaluated, and it was discovered that random forests performed the best in terms of accuracy. This study increases theoretical contributions as a continuation of previous research relevant to the concept of machine learning in detecting fraud in e-commerce. Then, based on the random forest's greater precision, it provides practical advice to e-commerce firms as a basis for decision-makers to find a suitable machine learning technique for fraud detection.
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Wulandari, Dinda Ayu, and Yuliani Puji Astuti. "Pemilihan E-commerce Terbaik Menggunakan Metode Fuzzy Topsis Intuisionistik." MATHunesa: Jurnal Ilmiah Matematika 8, no. 2 (2020): 120–29. http://dx.doi.org/10.26740/mathunesa.v8n2.p120-129.
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The current technological era has rapid progress so as to bring change in all fields to become all-digital. The impact of these technological advances also occurs in business transactions. E-commerce is a media of buying and selling transactions in digital form. E-commerce used in this study is e-commerce with the type of Business to Customer (B2C). The number of e-commerce established sometimes makes consumers waver in choosing e-commerce with good quality. The selection of the best e-commerce in this study uses four e-commerce sites, namely Tokopedia, Shopee, Lazada, and Bukalapak. Four e-commerce sites were selected based on the best e-commerce sites in Indonesia which were then carried out preliminary research with the target respondents of Surabaya residents. In the selection of the best e-commerce rated based on ten good e-commerce criteria namely application quality, product variety, completeness of description, price, variation of payment methods, variation of shipping methods, suitability of goods with pictures, speed in replying to customer questions, timeliness in packaging product, loyalty to the customer. The purpose of this study is to be able to find out how to determine the weighting of criteria and to know the application of Fuzzy Topsis Intusionistik to each criterion in the Selection of the Best E-commerce and to know the results of the application of a Decision Support System (SPK) using Fuzzy Topsis Intusionistik for the Best E-commerce Selection. The results of the calculation of the selection of the best e-commerce using the Fuzzy Topsis Intuitionistic method obtained recommendations about the best e-commerce with an assessment of (0.899439594851584) on Shopee
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Devi, Dr P. Sree, and Pranaya Deekonda. "Assessment of Training and Development Impacting on Total Quality Management: Online Shopping Logistics Perspective." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem28412.
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This research investigates the intricate interplay between training and development initiatives and Total Quality Management (TQM) within the context of online shopping logistics. As the global landscape of commerce undergoes a transformative shift towards e-commerce, the efficiency of online shopping logistics emerges as a critical determinant of customer satisfaction. The study employs a comprehensive approach, leveraging statistical analyses including factor analysis, multiple regression, and ANOVA, to unravel the nuanced relationships between diverse training and development factors and their impact on TQM. The findings reveal key drivers of TQM in the online shopping logistics domain, emphasizing the pivotal role of variables such as Enhancing Customer Experience, Continuous Learning Culture, Brand Reputation, Cross-Cultural Considerations, and Technology Integration. Additionally, challenges such as Problem-Solving Abilities are identified, prompting tailored interventions. The research underscores the significance of aligning training programs with future industry directions and the imperative of cultivating a brand-centric approach. These insights offer practical recommendations for organizations operating in the e-commerce sector, guiding them to prioritize and refine training initiatives to optimize TQM. The abstract encapsulates the research's contribution to the evolving field of online shopping logistics, providing a nuanced understanding of the factors influencing TQM and paving the way for strategic enhancements in training and development practices to ensure operational excellence and sustained customer satisfaction in the dynamic e-commerce landscape. Keywords: Training and Development, Total Quality Management, Logistic Management, Online shoppers, Factor Analysis, Multiple Regression Analysis
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Muqtadir, Asfan, Reza Agit Alfaridzi, and Amaludin Arifia. "Decision Support System of Determining E-Commerce With The Topsis and Comparation With Ahp for UMKM In the Tuban Regency Area." Journal of Applied Science and Technology 2, no. 02 (2022): 9. http://dx.doi.org/10.30659/jast.2.02.9-15.
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E-Commerce has had a major impact on social and economic growth in society. However, E-Commerce system is not always profitable for UMKM actors themselves, there are several factors that cause UMKM quality assessments to decline from tight competitiveness. Many consumers consider buying products from the many existing E-Commerce systems. For this reason, this goal is to implement a decision support system in determining E-Commerce using the TOPSIS method with AHP method. Of course, in implementing a decision support system, it is necessary to have assessment criteria and a number of alternatives that will be used as a reference to determine E-Commerce for UMKM by calculating the TOPSIS method which will produce the final result of the value of each E-Commerce in the form of ranking. From research conducted on 38 UMKM in Tuban Regency, the results of E-Commerce Shopee are 60.5%, Tokopedia 15.8%, Blibli 10.5%, Lazada 7.9% and Bukalapak 5.3%. The data will be grouped from each alternative to find the average value based on predetermined criteria and calculated using the TOPSIS method AHP method, it can be concluded that the E-Commerce that is widely used by UMKM in the Tuban Regency area is Shopee > Tokopedia > Bukalapak > Lazada > Blibli. while with AHP resulted in the order of Tokopedia > Shopee > Bukalapak > Blibli > Lazada.
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Gao, Dan. "Talent Development Practices and Exploration for Cross-Border E-commerce in the Guangdong-Hong Kong-Macao Greater Bay Area." International Journal of Education and Humanities 16, no. 2 (2024): 188–92. http://dx.doi.org/10.54097/rwyks730.
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In response to the economic development and growing demand for talent in cross-border e-commerce within the Guangdong-Hong Kong-Macao Greater Bay Area, the Cross-Border E-commerce Industry College at Guangdong University of Science and Technology has undertaken several initiatives. These include optimizing professional focus and curriculum design, enhancing faculty development, prioritizing practical teaching both on and off-campus, and improving assessment quality. By promoting collaborative education between academia and industry, the college aims to cultivate competitive, versatile talents in cross-border e-commerce. This practice serves as a valuable reference for reforming the talent development model in the Bay Area's cross-border e-commerce sector.
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Oliynyk, Oleksandr. "THE SYNERGETIC IMPACT OF ELECTRONIC AND QUICK COMMERCE ON THE FOOD INDUSTRY IN UKRAINE." Український економічний часопис, no. 6 (September 27, 2024): 87–93. http://dx.doi.org/10.32782/2786-8273/2024-6-14.
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Introduction. The e-commerce market in the food industry requires adaptation and innovation, but constraints hinder the implementation of modern solutions. Investments, clear regulations, and new technologies are needed to ensure product quality and stimulate innovation. Purpose. The study aims to investigate the synergistic impact of e-commerce and quick commerce on the food industry in Ukraine and to determine future development prospects. Methods. The study involves the examination and analysis of scientific research and publications, an exploration of approaches to e-commerce and quick commerce, and an assessment of their impact on Ukraine's food industry. Results. The factors of development, results, the essence of the synergy between e-commerce and quick commerce in Ukraine's food industry, problems, solutions, and development prospects have been identified. Conclusion. E-commerce and quick commerce are transforming Ukraine's food industry, enhancing efficiency and consumer satisfaction. Sustainable growth in the sector requires innovations, improved logistics, and increased safety standards.
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Hariguna, Taqwa, and Berlilana Berlilana. "Understanding of Antecedents to Achieve Customer Trust and Customer Intention to Purchase E-Commerce in Social Media, an Empirical Assessment." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 3 (2017): 1240. http://dx.doi.org/10.11591/ijece.v7i3.pp1240-1245.
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<p>This study aims to analyze empirically three factors antecedents of trust they are system quality, information quality, and service quality. Customer trust is used in determining customer intention to purchase of e-commerce in social media (facebook). A number of respondents were 451. The results of this study concluded that three factors antecedents of trust directly had a positive impact to customer trust and indirectly had positive impact on customer intention to purchase in e-commerce transactions on social media.</p>
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Zhao, Rong. "THE IMPACT OF CROSS-BORDER E-COMMERCE DEVELOPMENT UNDER THE REGIONAL ECONOMY OF INNER MONGOLIA ON THE CONSTRUCTION OF SPECIALITIES IN UNIVERSITIES IN THE AUTONOMOUS REGION." Iqtisodiy taraqqiyot va tahlil 2, no. 1 (2024): 195–202. http://dx.doi.org/10.60078/2992-877x-2024-vol2-iss1-pp195-202.
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The purpose of this research is to study the impact of cross-border e-commerce development under the regional economy of Inner Mongolia on the construction of higher vocational education majors in the autonomous region. Taking the cross-border e-commerce profession of higher vocational education as the research object, it analyses the current situation of cross-border e-commerce professional curriculum and teaching quality of higher vocational education in Inner Mongolia by investigating the demand for relevant talents in the cross-border e-commerce industry in the region, and constructs the core curriculum standard of cross-border e-commerce profession of higher vocational education in Inner Mongolia on this basis. In addition, the implementation scheme of cross-border e-commerce professional core curriculum is explored and the assessment method is proposed. In order to provide reference value for talent cultivation of cross-border e-commerce development under the regional economy of Inner Mongolia.
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Ahmadova, T. "THE IMPORTANCE OF E-COMMERCE IN HEALTHCARE." Scientific heritage, no. 135 (April 23, 2024): 3–7. https://doi.org/10.5281/zenodo.11044674.
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The aim of the study is to explore the theoretical and conceptual foundations of the implementation of e-commerce in health care. The methodology of the study consists of theoretical views and conceptual and methodological approaches derived from foreign scientific research conducted in the relevant direction. The practical significance of the research lies in the fact that the findings can be applied to the implementation of e-commerce in the healthcare sector. The results of the study are related to the assessment of the role of e-commerce in improving the quality of medical services and their more effective organization, as well as the adoption of more effective measures to intensify the development of the health sector. The originality and scientific novelty of the study lies in the identification of theoretical and methodological approaches to the role of e-commerce in the effective organization of medical services in a global digital transformation.
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Davidavičienė, Vida, and Jonas Tolvaišas. "Elektroninės prekybos interneto svetainių Lietuvoje vertinimas." Informacijos mokslai 55 (January 1, 2011): 103–16. http://dx.doi.org/10.15388/im.2011.0.3164.
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Informacinės ir komunikacinės technologijos dvidešimt pirmajame amžiuje skverbiasi į visas veiklos sritis. Tai lemia, kad elektroninė prekyba (e. prekyba) yra vienas iš labiausiai augančių verslo sektorių. Vienas iš populiariausių būdų konkuruoti informacinių technologijų amžiuje yra interneto svetainė. Tačiau perkeliant dalį savo verslo į internetą, konkurencinis pranašumas negarantuojamas. E. prekybos interneto svetainių kokybė, kuri užtikrintų lankytojų lūkesčių patenkinimą, pardavimo mastų augimą, išlaikytų ir didintų nuolatinių (lojalių) klientų skaičių, tampa viena iš pagrindinių informacinio amžiaus tyrimų krypčių. Tuo tikslu straipsnyje analizuojama vartotojų elgsena ir pasitenkinimo veiksniai naršant internete. Atlikus Lietuvos vartotojų elgsenos internete tyrimą, nustatyti Lietuvos interneto lankytojų naršymo ypatumai, kurie leidžia formuoti e. prekybos interneto svetainių kokybės vertinimo modelį. Taikomi metodai: sisteminė literatūros analizė, sugretinimas, apklausa.Pagrindiniai žodžiai: elektroninė prekyba, elektroninės prekybos interneto svetainė, interneto svetainės kokybės veiksniai, interneto svetainės kokybės vertinimas.Electronic Commerce Website Evaluation in LithuaniaVida Davidavičienė, Jonas Tolvaišas SummaryThe paper analyzes the quality factors of the website of electronic commerce (e-commerce) and services. The study of website quality models is presented and the most common factors of the website quality assessment are selected. In order to evaluate these factors, a survey of Lithuanian online store visitors is performed, with the focus on the browsing features of Lithuanian internet users. The key quality factors needed to evaluate the e-commerce website in Lithuania are identified. These factors allow developing a conceptual e-commerce website quality evaluation model.
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Zhang, Haibin, and Lei Wang. "The Service Quality Evaluation of Agricultural E-Commerce Based on Interval-Valued Intuitionistic Fuzzy GRA Method." Journal of Mathematics 2022 (January 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/3931136.
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The service quality evaluation of agricultural business-to-customer (B2C) e-commerce is viewed as a multiattribute group decision-making (MAGDM) activity. Thus, a useful MAGDM process is required. Based on the grey relational analysis (GRA) process and the interval-valued intuitionistic fuzzy set (IVIFS), this study defines an interval-valued intuitionistic fuzzy (IVIF) GRA process to depict the service quality of agricultural B2C e-commerce. This is important to agricultural B2C e-commerce because this industry increases rapidly and many new services are innovated. In this article, some necessary definitions related to IVIFSs are reviewed. Additionally, criteria weights are derived using the Criteria Importance Through Intercriteria Correlation method (CRITIC). Subsequently, the GRA method is extended to incorporate IVIFs to obtain a final service alternative. All alternatives can then be ranked, and the best service quality option can be identified and promulgated. Finally, a numerical example and some useful comparative studies are obtained. The analysis results show that the defined algorithm is effective for identifying the service qualities of agricultural B2C e-commerce, which provide a new assessment method for MAGDM.
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Ho, Chaang-Iuan, Yaoyu Liu, and Ming-Chih Chen. "Assessment of Customers’ Evaluations of Service Quality in Live-Streaming Commerce: Conceptualizing and Testing a Multidimensional and Hierarchical Model." Information 15, no. 9 (2024): 510. http://dx.doi.org/10.3390/info15090510.
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Live-streaming commerce (LSC) is a new shopping method that combines the characteristics of social commerce and e-commerce. Since the global coronavirus disease 2019 (COVID-19) outbreak, the number of branded platforms is growing rapidly, and their competition is fiercer than ever. Understanding consumer needs and improving service quality have become the key issues for survival. This study aims to develop and empirically validate a multidimensional hierarchical model for measuring service quality on LSC platforms. A hierarchical reflective construct was proposed to capture dimensions based on the literature on e-retail and social commerce service quality. The proposed model was rigorously tested using two waves of survey data through the partial least squares method. Results showed that the service quality of LSC is a third-order, reflective construct and includes five primary dimensions (the streamer’s interaction quality, physical environment, website quality, outcome quality, and ordering process) and twelve sub-dimensions (trustworthiness, expertise, responsiveness, telepresence, consumption scenarios, information quality, system operation quality, fulfillment and refund/compensation, privacy/security, contact, and ease of use). Findings also supported the hypothesis that service quality has a significant impact on customers’ satisfaction and their behavioral intentions. Furthermore, we tested an alternative model, and the results showed that the relationship between dimensions and overall assessment is reflective rather than formative. We offered directions for further research on LSC service quality and discussed managerial implications stemming from the empirical findings.
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Tuasikal, Husein, Eko Sugiyanto, and Irwan Faedy. "PENGARUH PROMOSI, PENILAIAN PRODUK DAN LAYANAN COD TERHADAP KEPUTUSAN PEMBELIAN (Studi Kasus Pada Konsumen E-Commerce Shopee Di Cikarang Barat)." JURNAL LENTERA BISNIS 13, no. 2 (2024): 660. http://dx.doi.org/10.34127/jrlab.v13i2.1045.
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This study aims to determine the effect of promotion, product assessment, and COD services individually (partially) and simultaneously on purchasing decisions for e- commerce Shopee consumers in Danau Indah Village, West Cikarang sub-district. The sample in this research is 110 respondents. The technique used is purposive sampling, non-probability sampling. The data collection technique uses a questionnaire that has been tested for validation and reliability. The analysis technique used is multiple linear regression analysis. The results of this study indicate that: (1) Promotion has a positive and significant effect on purchasing decisions for e- commerce Shopee consumers in Danau Indah Village, West Cikarang District, as evidenced by the Promotion variable (X1) having a coefficient (β1) = 0.254 > 0 t count 2.636 > t table 1982 and significant (0.010) < 0.05. (2) Product assessment has a positive and significant effect on purchasing decisions for Shopee e-commerce consumers in Danau Indah Village, West Cikarang District, as evidenced by the product evaluation variable (X2) having a coefficient (β2) = 0.783 > 0 t count 9.224 > t table 1.982 and significant (0.000) < 0.05. (3) COD services have a positive and significant effect on purchasing decisions for Shopee e-commerce consumers in Danau Indah Village, West Cikarang District, as evidenced by the COD service variable (X3) having a coefficient (β3) = 0.250 > 0 t count 2.157 > t table 1.982 and significant (0.033) < 0.05. (4) Promotion, Product Assessment, and COD services have a positive and significant effect on purchasing decisions for e-commerce Shopee consumers in Danau Indah Village, West Cikarang District, as evidenced by the variable F count value 63.560 > F table 2.69 and the significance is 0.000 <0,05.The results of the analysis are expected to provide useful information for e-commerce businesses in developing promotional strategies, improving product quality, and improving the quality of COD services to improve consumer purchasing decisions. Keywords: Promotion, Product Assessment, COD Service, Purchase Decision.
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Da Veiga, Adele, Hanifa Abdullah, Sunet Eybers, Elisha Ochola, Mathias Mujinga, and Emilia Mwim. "Evaluating Data Privacy Compliance of South African E-Commerce Websites Against POPIA." Journal of Information Systems and Informatics 6, no. 4 (2024): 2693–732. https://doi.org/10.51519/journalisi.v6i4.917.
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South African e-commerce websites must comply with the Protection of Personal Information Act (POPIA) to process customer’s personal information. However, limited research exists about data privacy implementation within these websites. This study assesses the extent of data privacy integration in 50 SA e-commerce websites. The assessment uses 57 evaluation criteria developed in the initial phases of the study, mapped to POPIA and refined in this study. While some e-commerce websites meet the requirements, significant improvements are required to safeguard users' personal information. Key areas requiring attention include processing consent, strong password management, and quality of data that was not ensured. Recommendations include clear data collection practices, explicit purpose specification, consent acquisition for processing, marketing preferences and sharing with third parties, data quality maintenance and enhanced security measures for passwords. Many online privacy policies fail to cover all POPIA privacy conditions and specific recommendations for content are included. These findings highlight a critical need for stronger data privacy practices in South African e-commerce to protect customer information. The refined evaluation criteria are a novel contribution for use by organisations to assess or develop their websites to operationalise POPIA requirements, supporting better self-assessment and integration of data privacy measures.
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Al-Adwan, Ahmad Samed, and Maher Ahmad Al-Horani. "Boosting Customer E-Loyalty: An Extended Scale of Online Service Quality." Information 10, no. 12 (2019): 380. http://dx.doi.org/10.3390/info10120380.
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The Customer trust, satisfaction and loyalty with regard to the provision of e-commerce services is expected to be critical factors for the assessment of the success of online businesses. Service quality and high-quality product settings are closely linked to these factors. However, despite the rapid advancement of e-commerce applications, especially in the context of business to consumer (B2C), prior research has confirmed that e-retailers face difficulties when it comes to maintaining customer loyalty. Several e-service quality frameworks have been employed to boost service quality by targeting customer loyalty. Among these prominent frameworks is the scale of online etail quality (eTailQ). This scale has been under criticism as it was developed before the emergence of Web 2.0 technologies. Consequently, this paper aims to fill this gap by offering empirically-tested and conceptually-derived measurement model specifications for an extended eTailQ scale. In addition, it investigates the potential effects of the extended scale on e-trust and e-satisfaction, and subsequently e-loyalty. The practical and theoretical implications are highlighted to help businesses to design effective business strategies based on quality in order to achieve enhanced customer loyalty, and to direct future research in the field of e-commerce.
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Zhukova, N. P., L. N. Osaulenko, V. Y. Dianova, et al. "E-commerce in food products in the EAEU member states: a sociological aspect." Tovaroved prodovolstvennykh tovarov (Commodity specialist of food products), no. 4 (April 11, 2024): 230–35. http://dx.doi.org/10.33920/igt-01-2404-06.
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An initial testing of the developed sociological research methodology was carried out, aimed at assessing the level of consumer protection in the EAEU member states, including in the implementation of electronic commerce. Primary results are presented that reveal the behavior of consumers purchasing food products in online stores, as well as consumers’ assessment of the quality of e-commerce services.
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Fang, Liu. "An Assessment of Multi-dimensional Factors Influencing Patronage of E-Commerce Channels in Beijing, China: Inputs for Loyalty Program." JPAIR Multidisciplinary Research 59, no. 1 (2025): 1–21. https://doi.org/10.7719/jpair.v59i1.918.
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Cognizant of the growing Chinese e-commerce as one of the fundamental elements of the modern world because of technological advancements, this empirical study investigated e-businesses that utilize a variety of digital channels, such as social media, websites, and specialized applications, to market their products. Through a quantitative-descriptive research method, this study assessed the factors influencing e-commerce patronage, including product type, product quality, pricing competitiveness, user experience, and information security. The respondents were 300 customers of Tiktok, TaoBao, and JingDong in Beijing, China, chosen through quota sampling, who completed a survey questionnaire as the primary instrument for gathering data to answer research problems and test the hypothesis. The results revealed that user experience is highly influential in e-commerce patronage. The impact of these elements on patronage may vary depending on user preferences, platform design, and the overall shopping journey. The availability of a wide range of products on e-commerce platforms attracts customers looking for diverse options, influencing their patronage decisions. Competitive pricing strategies, including discounts, promotions, and price comparisons, significantly influence customers' choice of e-commerce channels. Trustworthiness and security of payment methods, data protection, and overall transaction security play a crucial role in attracting and retaining customers. The factors influencing e-commerce patronage are not significantly affected by demographic characteristics such as age, sex, educational attainment, and income.
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Chew, Jiajia, Zepeng Shen, Ke Hu, Yong Wang, and Zhiyuan Wang. "Artificial Intelligence Optimizes the Accounting Data Integration and Financial Risk Assessment Model of the E-commerce Platform." International Journal of Management Science Research 8, no. 2 (2025): 7–17. https://doi.org/10.53469/ijomsr.2025.08(02).02.
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This research focuses on the use of artificial intelligence (AI) technology to optimize the accounting data integration and financial risk assessment model of e-commerce platforms, aiming to solve the data complexity and risk prediction problems faced by e-commerce platforms in financial management. The research first analyzes the challenges of accounting data integration of e-commerce platforms, including problems such as diversified data sources, inconsistent formats and uneven data quality, and proposes solutions based on machine learning (such as random forest) and deep learning (such as LSTM model). Through data cleaning, missing value filling and standardized pre-processing, an efficient accounting data integration model is studied and constructed, which significantly improves the accuracy and efficiency of data integration. In terms of financial risk assessment, the AI-based risk prediction model is designed, focusing on the unique credit risks and market risks of the e-commerce platform. The experimental results show that the accuracy of LSTM model in risk prediction is significantly higher than that of traditional methods, which can capture market changes in real time and provide timely risk warning. In addition, the study also verifies the effectiveness of the model in practical application through case analysis, which provides a scientific basis for the financial decision-making of the e-commerce platform. The main contributions of the research are as follows: the first, the significant advantages of AI technology in accounting data integration and financial risk assessment; the second E-commerce platform provides operational AI model and optimization scheme; third, it provides theoretical support and practical reference for the wide application of AI in financial management in the future. The research conclusion shows that AI technology can not only significantly improve the financial management efficiency of e-commerce platforms, but also provide reference for the financial digital transformation of other industries.
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Wang, Lina, and Hui Song. "E-Commerce Credit Risk Assessment Based on Fuzzy Neural Network." Computational Intelligence and Neuroscience 2022 (January 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/3088915.
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In this paper, we propose a cooperative strategy-based self-organization mechanism to reconstruct the network. The mechanism includes a comprehensive evaluation algorithm and structure adjustment mechanism. The self-organization mechanism can be carried out simultaneously with the parameter optimization process. By calculating the similarity and independent contribution of normative neurons, the effectiveness of fuzzy rules can be jointly evaluated, and effective structural changes can be realized. Moreover, this mechanism should not set the threshold in advance in practical application. In order to optimize the parameters of SC-IR2FNN, we developed a parameter optimization mechanism based on an interaction strategy. The parameter optimization mechanism based on a joint strategy, namely multilayer optimization engine, can split SC-IR2FNN parameters into nonlinear and linear parameters for joint optimization. The nonlinear parameters are optimized by an advanced two-level algorithm, and the linear parameters are updated with the minimum biological multiplication. Two parameter optimization algorithms optimize nonlinear and linear parameters, reduce the computational complexity of SC-IR2FNN, and improve the learning rate. Using the principal component factor analysis method, seven representative common factors are selected to replace the original variables, which include the profitability factor of the financing enterprise, the solvency factor of the financing enterprise, the profitability factor of the core enterprise, the operation guarantee factor, and the growth ability of the financing enterprise. Factors, supply chain online degree factors, financing enterprise quality, and cooperation factors, can well measure the credit risk of online supply chains. The logistic model shows that the profitability factor of the financing company, the debt repayment factor of the financing company, and the profitability of the core company are three factors that have a significant impact on the credit risk of online supply chain finance. Based on the improved credit calculation model, we developed an online clue risk calculation. This method is based on site conditions and can evaluate credit risk. From the test results, the improved credit scoring system is the result of facing speculative and circular credit fraud and implies that the traders of risk commentators are in a leading position in each electronic device. The results show that risk analysis is effective in any case.
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Juventia, Dilla Anggie, Sari Listyorini, and Widiartanto Widiartanto. "Pengaruh E-Security dan E-Service Quality terhadap E-Repurchase Intention pada Jasa E-Commerce Tokopedia (Studi Kasus pada Pembeli Tokopedia di Kota Semarang)." Jurnal Ilmu Administrasi Bisnis 12, no. 1 (2023): 103–10. http://dx.doi.org/10.14710/jiab.2023.37145.
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Perkembangan teknologi di Indonesia menyebabkan pertumbuhan internet yang tinggi dan merubah gaya berbelanja masyarakat dari konfensional ke modern yaitu e-commerce. Perkembangan ini tidak disia-siakan oleh Tokopedia, mengembangkan bisnisnya berupa website dan aplikasi online memberikan kesempatan kepada penjual untuk menawarkan produknya. Kebocoran data yang terjadi hingga saat ini, dan pada tahun 2020 menyeret nama Tokopedia. Pelayanan berupa promosi yang tidak selalu bisa digunakan oleh pengguna baru dan produk yang tidak sesuai saat diterima pembeli, sehinggga terdapat penilaian buruk pada kolom penilaian playstore. Penelitian ini memiliki maksud untuk mengetahui pengaruh dari e-security dan e-service quality terhadap e-repurchase intention pada jasa e-commerce Tokopedia. Tipe pada penelitian ini berupa eksplanatori dengan tehnik pengambilan non probability sampling dan purposive sampling yang melibatkan 100 responden pembeli Tokopedia. Tekhnik analisis penelitian menggunakan alat SPSS versi 26. Hasil penelitian ini e-security berpengaruh signifikan positif terhadap e-repurchase intention, e-service quality berpengaruh signifikan positif terhadap e-repurchase intention, e-security dan e-service quality berpengaruh signifikan positif terhadap e-repurchase intention.Technological developments in Indonesia have led to high internet growth and changed people's shopping styles from conventional to modern, namely e-commerce. This development was not wasted by Tokopedia, developing its business in the form of websites and online applications provides an opportunity for sellers to offer their products. Data leaks that have occurred to date, and in 2020 dragged the name Tokopedia. Services in the form of promotions that new users cannot always use and products that are inappropriate when buyers receive them, so that there is a bad rating in the playstore assessment column. This study aims to determine the effect of e-security and e-service quality on e-repurchase intention in Tokopedia e-commerce services. The type in this study is explanatory with non-probability sampling and purposive sampling techniques involving 100 respondents who buy Tokopedia. Research analysis techniques using SPSS version 26. The results of this study e-security has a significant positive effect on e-repurchase intention, e-service quality has a significant positive effect on e-repurchase intention, e-security and e-service quality have a significant positive effect on e- -repurchase intention.
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Romanchuk, Lyubov, Dmytro Shchytov, and Mykola Mormul. "Comparing the e-commerce appeal of Ukraine and Germany." Technology audit and production reserves 2, no. 4(82) (2025): 56–64. https://doi.org/10.15587/2706-5448.2025.325919.
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The subject of research is e-commerce and the conditions for its operation in different countries. One of the most problematic aspects is the lack of information about the attractiveness of countries in relation to this topic. To address this gap, the author’s own experience of conducting e-commerce in Germany and Ukraine was used, along with an analysis of the main factors influencing the state and development of e-commerce. The research methods used include: theoretical generalization and classification; comparative analysis; expert evaluations; formalization; and multi-criteria analysis. As a result, a system of 13 criteria was proposed to assess the convenience and profitability of conducting e-commerce: infrastructure convenience level, healthcare, availability of private housing and the possibility of purchasing it, small business development, climatic conditions, consumer basket size, tax and fine rates, road quality and safety, internet quality, degrees of freedom, life safety, right to information, and the level of development and speed of delivery. Based on this system and with the help of experts, a comparative analysis of e-commerce conditions and prospects in Germany and Ukraine was conducted. A methodology for assessing the attractiveness of e-commerce in Ukraine and Germany was developed. This methodology allows obtaining comparable values of indicators for any countries, which was not possible before but is desirable with the researchers’ practical experience, i. e., their long-term life and work in the countries being studied to ensure accurate results. Compared to other known systems for determining the attractiveness of countries, our methodology provides advantages such as: the availability of a specific mechanism for evaluating this indicator for e-commerce based on 13 criteria; the ability to involve different groups of experts to compare and adjust the results; and the construction of an integral criterion for the overall assessment of a country’s attractiveness. In practice, a methodology for calculating the degree of convenience and attractiveness of conducting e-commerce in different countries was proposed, and the results obtained were applied to the example of e-commerce in Ukraine and Germany.
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Ghaffar, Alfian Abdul, and Indrawati -. "The Assessment of Usability and Service Quality in E-Commerce Using the Integration of Analytical Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS)." Asian Journal of Business and Accounting 17, no. 1 (2024): 201–24. http://dx.doi.org/10.22452/ajba.vol17no1.7.
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Manuscript type: Research paper Research aims: This study aims to identify evaluation criteria for e-commerce platforms and determine the top-performing platform in the Indonesian marketplace. Design/Methodology/Approach: The research employs a quantitative approach, utilising the Analytical Hierarchy Process (AHP) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) model analysis. It involves analysing data from 100 respondents who are users of Shopee, Tokopedia, and Bukalapak e-commerce platforms. Research findings: The findings suggest that the Usability criterion outperforms E-ServQual in terms of scores. Based on the AHP and TOPSIS techniques, Tokopedia, Shopee, and Bukalapak are ranked as the top three e-commerce platforms. Theoretical contribution/Originality: This study contributes to understanding the importance of usability in evaluating e-commerce platforms and provides insights into customer preferences. It also demonstrates the sequential integration of AHP and TOPSIS techniques for evaluating multiple criteria. Practitioner/Policy implications: This study reveals that Satisfaction, Efficiency, and Learnability are crucial sub-criteria for customers when selecting an e-commerce platform. Improving these aspects can enhance consumer purchasing power and improve the overall user experience. Research limitation/Implications: The limitation of the study is its geographic scope, as it was conducted solely in the Jakarta and Yogyakarta regions. Additionally, the research exclusively employs the AHP (Analytical Hierarchy Process) and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods.
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Pujastuti, Eli, Wing Wahyu Winarno, and Sudarmawan Sudarmawan. "Pengaruh E-Commerce Toko Online Fashion Terhadap Kepercayaan Konsumen." Creative Information Technology Journal 1, no. 2 (2015): 139. http://dx.doi.org/10.24076/citec.2014v1i2.17.
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E-commerce yang menawarkan banyak kemudahan terhadap konsumen belum tentu berhasil hanya dengan membuat website toko online, namun konsumen secara personal juga akan menilai dan menentukan perilaku apa yang akan diambil berdasarkan penilaian secara subyektif dari konsumen terhadap suatu situs e-commerce, apakah konsumen tersebut akan percaya dan selanjutnya dengan senang hati bertukar informasi pribadi dengan situs e-commerce, dan akhirnya mempunyai keinginan untuk bertransaksi atau tidak. Penelitian ini bermaksud menguji pengaruh 3 faktor dalam Trust Building Model (TBM) kaitannya dengan kepercayaan konsumen terhadap e-commerce toko online fashion di Indonesia. Benarkah kepercayaan konsumen di Indonesia disebabkan oleh faktor perceived site quality (kualitas situs yang dirasakan), faktor perceived vendor reputation (reputasi vendor yang dirasakan), dan structural assurance (susunan keamanan) khususnya untuk e-commerce bisnis ke konsumen. Penelitian ini menggunakan Structural Equation Modeling (SEM) untuk menganalisis masing-masing faktor tersebut dengan meneliti 200 responden yang sudah pernah bertransaksi dan belum pernah bertransaksi namun mempunyai keinginan di kemudian hari dan sudah pernah berkunjung ke situs toko online fashion. Hasil dari penelitian ini menunjukkan bahwa kepercayaan konsumen e-commerce toko online fashion di Indonesia sangat dipengaruhi oleh kualitas website dan susunan keamanan yang tersaji melalui website, sedangkan reputasi vendor melalui website tidak signifikan mempengaruhi konsumen untuk bisa lebih percaya pada suatu vendor toko online fashion.E-commerce that offers a lot of convenience to consumers uncertain of success simply by making the website an online store, but consumers will personally assess and determine what behavior that consumers will take based on consumer’s assessment of an e-commerce site, whether consumer will believe and subsequent gladly exchange personal information with an e-commerce website, and make the transaction or not. This study intends to examine the influence of three factors in the Trust Building Model (TBM) relation with consumer’s trust in e - commerce online store of fashion in Indonesia. Is it true that consumer’s trust in Indonesia is caused by those factors: perceived site quality, perceived vendor reputation, and structural assurance, especially for e-commerce business to consumer. This study used Structural Equation Modeling (SEM) to analyze each of these factors by examining the 200 respondents who had dealings and have never had trade but have willingness to trade later and had ever been to a fashion online store site. The results of this study indicate that consumer’s trust in ecommerce online store of fashion in Indonesia is strongly influenced by the quality of the website and structural assurance presented through the website, while the reputation of the vendor through the website does not significantly influence consumers to be more trust in an online fashion store vendors.
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Zhang, Changlu, Yuchen Wang, and Jian Zhang. "Risk Assessment of Live-Streaming Marketing Based on Hesitant Fuzzy Multi-Attribute Group Decision-Making Method." Journal of Theoretical and Applied Electronic Commerce Research 20, no. 2 (2025): 120. https://doi.org/10.3390/jtaer20020120.
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(1) Background: With the deep integration of e-commerce and video technology, live-streaming marketing has emerged globally and maintained rapid growth. However, most of the current research on live-streaming e-commerce marketing focuses on merchants’ sales strategies and consumers’ purchase intentions, and there is relatively little research related to the risks of live-streaming e-commerce marketing. Nevertheless, with the development of live-streaming e-commerce marketing and its integration with technologies such as artificial intelligence and virtual reality (VR), live-streaming e-commerce marketing still faces challenges such as unclear subject responsibility, difficulty in verifying the authenticity of marketing information, and uneven product quality. It also harbors problems such as the ethical misbehavior of AI anchors and the excessive beautification of products by VR technology. (2) Methods: This study systematically analyzes the scenarios of live-streaming marketing to elucidate the mechanisms of risk formation. Utilizing fault tree analysis (FTA) and risk checklist methods, risks are identified based on the three core elements of live-streaming marketing: “people–products–scenes”. Subsequently, the Delphi method is employed to refine the initial risk indicator system, resulting in the construction of a comprehensive risk indicator system comprising three first-level indicators, six second-level indicators, and 16 third-level indicators. A hesitant fuzzy multi-attribute group decision-making method (HFMGDM) is then applied to calculate the weights of the risk indicators and comprehensively assess the live-streaming marketing risks in live broadcast rooms of three prominent celebrity anchors in China. Furthermore, a detailed analysis is conducted on the risks associated with the six secondary indicators. Based on the risk evaluation results, targeted recommendations are proposed. This study aims to enhance consumers’ awareness of risk prevention when conducting live-streaming transactions and pay attention to related risks, thereby safeguarding consumer rights and fostering the healthy and sustainable development of the live-streaming marketing industry. (3) Conclusions: The results show that the top five risk indicators in terms of weight ranking are: Ethical Risk of the AI Anchor (A4), VR Technology Promotion Risk (F3), Anchor Reputation (A1), Product Quality (D1), and Logistics Distribution Service Quality (D2). The comprehensive live-streaming marketing risk of each live broadcast room is Y > L > D. Based on the analysis results, targeted recommendations are provided for anchors, MCN institutions, merchants, supply chains, and live-streaming platforms to improve consumer satisfaction and promote sustainable development of the live-streaming marketing industry.
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Hakim, Zakki, Hamam Adji Ridho, Deko Kurniawan, Laksana Fikri Chris Samudra, Harlan Apriansyah, and Mirza Ayunda Pratiwi. "The Impact of User Experience on Customer Loyalty in Online Shopping." International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM) 3, no. 1 (2025): 375–86. https://doi.org/10.21009/isc-beam.013.21.
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This study examines the impact of User Experience (UX) on customer loyalty in online shopping and evaluates fifteen key determinants of online shopping behavior that influence the competitive edge of e-commerce. The primary objective is to understand how a positive user experience can enhance customer loyalty to online shopping platforms. The research employs a qualitative methodology, gathering data through content analysis of customer comments on shopping websites, interviews with e-commerce professionals, and a comparative assessment of the quality of key online shopping behavior determinants implemented by companies. The findings reveal that a good user experience plays a crucial role in maintaining customer loyalty, as customers are more likely to make repeat purchases if they feel comfortable with the website's design, navigation, and security. Often, e-commerce companies assess these key determinants differently than customers do, with customers placing more value on convenience and interface design compared to factors such as price. This study is significant in helping e-commerce companies understand the importance of improving user experience to retain and enhance customer loyalty. Consequently, e-commerce companies need to be more responsive to customer needs and preferences, adjusting their management strategies to improve competitiveness in the increasingly competitive e-commerce ecosystem.
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Stefani, Antonia, and Michalis Xenos. "E-commerce system quality assessment using a model based on ISO 9126 and Belief Networks." Software Quality Journal 16, no. 1 (2007): 107–29. http://dx.doi.org/10.1007/s11219-007-9032-5.
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Ma, Yanzhe. "Personalized Recommendation Evaluation of Credit Degree Based on New Hybrid Crow Search Algorithm for E-Commerce Live Industry Data Analysis." Journal of Sensors 2022 (September 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/6023031.
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With the advent of the era of national live broadcast, the “live broadcast + e-commerce” model reconstructs “people, goods, and fields”, and merchants, platforms, and anchors create a new marketing system around consumers’ perceptions, attitudes, and emotions to enhance consumer willingness. E-commerce live broadcast ultimately brings back the core of marketing, according to retailers. The psychological contract in the live broadcast is a variable, and its commitment or breach will have an effect on the consumer attitude and consumer emotions. From the perspective of the consumer, stronger consumption motivation, content quality, Netflix charm, trust, and highly interactive consumer expectations must exist. Based on the above background, the understanding of business infrastructure in the digital economy era should also be dynamically adjusted in conjunction with the concept of new infrastructure and business innovation practices. This paper investigates personalized recommendation assessment of credit degree based on data analysis of the live e-commerce industry based on new hybrid crow search algorithm in this context, delves into the state of e-commerce in China today, offers a profound discussion on e-commerce as well as credit degree, and concludes the paper with a general summary.
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Jairak, Rath, Prasong Praneetpolgrang, and Nivet Chirawichitchai. "A Roadmap for Establishing Trust Management Strategy in E-Commerce Services Using Quality Based Assessment." International Journal of Information Engineering and Electronic Business 6, no. 5 (2014): 1–9. http://dx.doi.org/10.5815/ijieeb.2014.05.01.
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Tao, Li Min, and Xi Kun Liang. "Research on Evaluation Method of E-Commerce Customer Satisfaction Based on Cloud Model." Applied Mechanics and Materials 411-414 (September 2013): 2258–64. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2258.
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Customer satisfaction is an important index to measure the enterprise product and service quality, customer satisfaction evaluation of e-commerce enterprises is an important part of its overall assessment. In this paper, starting from the customer satisfaction, evaluation index system is established; the evaluation model of electronic commerce enterprise based on cloud model is constructed, customer satisfaction is made a scientific comprehensive evaluation. Compared with the traditional method of qualitative evaluation, qualitative evaluation method based on cloud model is practical, and the result is intuitive, comprehensive and profound, more in line with the actual situation.
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Tikhomirova, A., and Chuanmin Shuai. "Assessment of trust building mechanisms of e-commerce: a discourse analysis approach." Professional Discourse & Communication 1, no. 4 (2019): 23–32. http://dx.doi.org/10.24833/2687-0126-2019-1-4-23-32.
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Nowadays the Internet occupies the primary place in many people’s lives. It gives people many different opportunities including online shopping. The deep understanding of all the elements of trust building mechanisms is essential in order to guarantee future prosperous development of the e-commerce sphere as trust seems the key point of e-commerce success. The current study aims to assess trust building mechanisms of online shopping, namely customers’ comments, using the linguistic tool. By adopting the discourse analysis methodology this paper explores the language units used in the comments. First of all, the importance of feedbacks (customers’ comments) was assessed by means of self-compiled questionnaire and the results of the analyses indicate that feedbacks were proved to be significant for customers while forming the buying intention. Then qualitative data was collected from Amazon website. Customers’ comments were collected, systematized and grouped according to the specification of the comment. The following groups were singled out: attitude, duration of usage, quality, price, purpose of usage, function. Comments were divided into positive and negative as well and later on analyzed by means of discourse analysis. Two types of comments were pointed out, namely explanation and evidence (photo). Special features of online comments were pointed out.
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Gerami, Victoria D., Denis A. Gusev, and Albert A. Sarkisyan. "Multi-criteria approach to forming the return policy of e-commerce companies in Russia." Russian Management Journal 20, no. 1 (2022): 127–44. http://dx.doi.org/10.21638/spbu18.2022.106.
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The aim of the study is to develop an effective approach to formulating and adjusting the return policy of large e-commerce companies in the Russian Federation taking into account the interests of e-commerce and marketplace participants. Research methodology includes modern methods of multi-criterial choice accounting for the preferences of decision makers. The paper provides an up-to-date assessment of actual return policy in e-commerce companies in the Russian Federation, and also proposes a multi-criterial approach to solving the problems of interfunctional and interorganizational interaction when choosing return policy parameters, taking into account legal restrictions and the interests of e-commerce marketplace participants. The practice of implementing the return policy is assessed in this study in view of insufficient high-quality urban warehouses, as well as limited ability to hire new couriers for deliveries on the “last mile” to the customers’ doors. The paper also discusses the prospects for the synthesis of a multicriteria approach and single-criteria optimization models of return flows route network.
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Tzavlopoulos, Ιoannis, Katerina Gotzamani, Andreas Andronikidis, and Chris Vassiliadis. "Determining the impact of e-commerce quality on customers’ perceived risk, satisfaction, value and loyalty." International Journal of Quality and Service Sciences 11, no. 4 (2019): 576–87. http://dx.doi.org/10.1108/ijqss-03-2019-0047.
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Purpose The quality assessment of e-commerce services is of particular research interest, as it has been widely found that quality is directly linked to customer satisfaction and loyalty, which in turn leads to improved sales results, the creation of reputation and enhanced competitiveness for active companies in the industry. The purpose of this paper is to investigate the quality in e-commerce and to examine the relationships developed among its individual dimensions and satisfaction, perceived value, perceived risk and customer loyalty. Design/methodology/approach Initially, exploratory factor analysis with the equamax rotation method was applied to identify the perceptions of consumers regarding quality, value, satisfaction, risk and loyalty. The effect of the factors that make up perceived quality of e-services on customer value, satisfaction, risk and loyalty was examined by using OLS regression analysis. Likewise, path analysis was applied to confirm the impact of perceived quality on total consumer satisfaction, perceived value and loyalty, utilizing perceived risk as a moderating variable. Findings The authors found that quality overall has a positive and statistically significant relationship with perceived value, satisfaction and loyalty and negative with perceived risk. From the individual dimensions of quality, it has been found that ease of use of websites, design, responsiveness and security lead to increased levels of perceived value, while ease of use, responsiveness and personalization lead to an increase in the overall satisfaction of consumers. Overall, it has been documented that high levels of quality lead to higher satisfaction and perceived value, mitigating perceived risk and positively impacting the adoption of desirable consumer behaviors as reflected in customer loyalty. Research limitations/implications In this respect, future research in the field of e-commerce can examine the quality of the respective electronic services taking into account different product and business categories. In addition, the future research can focus on the impact of high satisfaction, perceived value and customer loyalty on various sizes of business performance, including sales, market share, competitiveness, financial efficiency and sustainability. Practical implications Given the clear relationship between quality, perceived value and satisfaction, e-commerce businesses have the potential to benefit significantly from improvements in the quality of their services, as this leads to increased levels of perceived value, high level of satisfaction and hence enhanced customer loyalty, which is in turn reflected in increased sales, positive word-of-mouth, improved reputation and brand loyalty. In this way, e-businesses will be able to improve their financial position, achieve higher market shares, maintain their competitive advantage, attract new development resources and become sustainable on a long-term basis. Social implications Businesses need to understand the factors that determine the quality in e-commerce to be able to achieve customer satisfaction and reduce perceived risk through improved quality. These factors, which consumers perceive as important for quality, are critical. Originality/value The concepts of quality, perceived value, risk, satisfaction and loyalty are considered to be interlinked in both traditional consumer research and e-commerce, as high levels of perceived quality are believed to lead to positive assessments of the cost-benefit and, hence, the perceived value (Cronin et al., 2000; Sweeney and Soutar, 2001; Korda and Snoj, 2010) and loyalty. In this context, this study attempted to study the relationship of these five variables, through both regression and path analysis, resulting in similar results. According to the findings of the study, perceived quality of website services has a positive and statistically significant impact on perceived value, satisfaction and an opposite effect on perceived risk, while the last is mitigating variable for and loyalty.
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Du, Yixue. "Reverse logistics management in China's e-commerce market." Vestnik of Astrakhan State Technical University. Series: Economics 2024, no. 1 (2024): 103–8. http://dx.doi.org/10.24143/2073-5537-2024-1-103-108.
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A study of the features of reverse logistics management has been conducted. The Chinese electronic commerce market for 2019-2023 is analyzed. The dynamics of the main indicators of electronic commerce at the national level, as well as the volume of courier business in China over five years, are illustrated. In order to fully and comprehensively assess the development potential of reverse logistics in the e-commerce market, a PEST analysis of reverse flows was conducted in order to identify the strengths and weaknesses of reverse commodity movement. A balanced assessment of the influence of the following factors is given: political, economic, social, technical and technological, as well as environmental. As a result of the PEST analysis of reverse flows, it was determined that there are both obstacles and drivers for the development of reverse logistics in the Chinese e-commerce market. It is revealed that the most significant growth points are technological and political factors contributing to the development of reverse logic in the e-commerce market, effectively organized and managed through the formation of a digital logistics infrastructure. It is concluded that, in general, these factors have a positive impact on the organization and management of both direct and reverse flows. It is recommended to carry out educational work among the population and form a model of responsible consumer behavior in order to reduce the volume of returned products, as well as improve the quality of life without overconsumption.