Relevant bibliographies by topics / E-commerce quality assessment

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'E-commerce quality assessment'

Author: Grafiati
Published: 3 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "E-commerce quality assessment"

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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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Dissertations / Theses on the topic "E-commerce quality assessment"

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Rababah, Osama. "Quality assessment of e-commerce websites using Bayesian belief networks." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/8011.

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This thesis raises the issue of quality in E-commerce websites and addresses methodologies and approaches to standardize their assessment. The thesis blends the knowledge of academic research with the opinions and insights from experts and practitioners in the field to provide a comprehensive view of the issues and their remedies. The most experienced and successful E-commerce companies are beginning to realize that key determinants of success or failure are not merely a web presence or a low price but delivering a high quality website. Recent research shows that price and promotion are no longer the main draws for customers to make a decision on a purchase. More sophisticated online customers would rather pay a higher price to a provider with high quality service. Given that the establishment of an E-commerce website is mainly a software development effort; there are several standards that apply in governing the quality of such development. There seems to be an almost overwhelming abundance of quality standards that lead to a high level of cynicism and skepticism surrounding them and the eventual lack of use. Furthermore, no standard can directly predict the quality a website under development is going to achieve. Past approaches concerning the quality of E-commerce websites emphasize usability standards using techniques like feature inspection and collecting data about end-users' opinion by questionnaires. These methods provide important feedback and their results can be utilized as a useful background for future work, however, they do not contribute directly to a dynamic model that enables forecasting. The study of quality in the domain of the Internet in general, and E-commerce in particular, poses new challenges as technology evolves, including methods and metrics for estimating, managing quality during the product life cycle and quality-of-use measurement. The solution proposed by this research is to use a Bayesian Belief Network model. This model provides a consistent and practical approach to assessing the quality of the website. The assessment can be carried out before the completion of the website development, thus, providing insight on the trend and direction for correction and improvements. It can also be carried out on completed and operational work, providing analysis of areas for improvement. The model should be relatively quick and practical in providing an overall comprehensive assessment with root-cause analysis that would lead to corrective measures to improve the quality of the E-commerce website. In this research idioms were applied in realizing a complete Bayesian Belief Network model. The conclusions are measured against comparative assessment to validate the practical benefits of the work accomplished. The WebQual method was utilized to validate the "belief" established by the model.
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Book chapters on the topic "E-commerce quality assessment"

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Malak, Ghazwa, Linda Badri, Mourad Badri, and Houari Sahraoui. "Towards a Multidimensional Model for Web-Based Applications Quality Assessment." In E-Commerce and Web Technologies. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30077-9_32.

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Ouni, Sonia, Karim Kamoun, and Mohamed AlAttas. "Semantic Image Quality Assessment Using Conventional Neural Network for E-Commerce Catalogue Management." In Machine Learning and Data Analytics for Solving Business Problems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18483-3_6.

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Bajdor, Paula. "MCDM Approach to Quality Assessment of Functioning of e-Commerce Platforms Operating in Poland." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78465-1_18.

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Stefani, Antonia, Dimitris Stavrinoudis, and Michalis Xenos. "In-Depth Analysis of Selected Topics Related to the Quality Assessment of E-Commerce Systems." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75993-5_4.

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Sanda, Mohammed-Aminu. "Client’s Quality Assessment of Digital Transaction Platforms Interactivenesses in a Covid-19 E-Commerce Business Environment." In Advances in Human Factors and System Interactions. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79816-1_23.

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"Application of cluster analysis to western China population quality assessment." In E-Commerce, E-Business and E-Service. CRC Press, 2014. http://dx.doi.org/10.1201/b17084-48.

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Barnes, Stuart J., and Richard Vidgen. "The eQual Approach to the Assessment of E-Commerce Quality." In Web Engineering. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-432-3.ch007.

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Understanding the customer is a key aspect of developing any e-commerce offering. In doing so, organizations can improve their offerings over time and benchmark against competitors and best practice in any industry. eQual is a method for assessing the quality of Web sites. The eQual instrument has evolved via a process of iterative refinement in different e-commerce domains. Two of the studies conducted have examined online bookshops as a domain for e-commerce quality evaluation, one based on eQual 2.0 and the other on eQual 4.0. In this chapter we aim to examine these studies, and, as a result, to evaluate the use of the instrument and the benchmarking of the bookshops on two separate occasions. Of particular note are whether the findings are consistent across the two studies and the implications of the findings for e-commerce practice. Finally, the paper rounds off with some conclusions and directions for further research.
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Panda, Sandeep Kumar, and Santosh Kumar Swain. "Quality Assurance Aspects of Web Design." In Advances in Web Technologies and Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9764-5.ch004.

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The chapter introduces the definition of usability, usability assessment techniques to be adopted during the whole application life cycle for promoting usability. Then, the chapter includes design features for evaluating e-commerce websites such as navigation, content, design, ease of use and structure features and designing usable e-commerce websites. Then the chapter discussed the user testing method followed by a case study which comprises data collection by users' preferences, data analysis and the results. The latter in the chapter, we briefly describe the effectiveness of usability evaluation methods. Lastly, we describe the usability problem areas, strength and weaknesses on different features and sub-features of e-commerce websites followed by a conclusion.
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Naim, Arshi, and Shad Ahmad Khan. "Impact and Assessment of Electronic Commerce on Consumer Buying Behaviour." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8166-0.ch014.

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Electronic commerce (E-com) is now adopted by most of the firms, especially after the first phase of the COVID-19 pandemic. Consumers are conscious of increasing online purchases and demand sustainable consumption friendly actions. This study aims to analyze the intellectual, conceptual, and social knowledge of consumer buying behavior in E-com research to generate new understandings for online consumer behavior. A survey on LinkedIn was conducted to measure the impact of E-com on consumer behavior and results are shown on Likert's five scale. The survey questions were closed ended and not specific to any industry or firm rather general questions to measure the impact of E-com on consumer buying behavior. The questions were based on factors of customer satisfaction, security, information quality, payment methods, shipping, time, and delivery services. Analysis shows a variation in types, factors, and method of consumer buying behavior in an online environment.
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Sharma, Himanshu, Aakash Aakash, and Anu G. Aggarwal. "A Hybrid Pythagorean Group Decision Making Model for Website Selection." In Multi-Criteria Decision-Making Models for Website Evaluation. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8238-0.ch004.

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The digital revolution has transformed many offline retailers to perform their business activities online, resulting in tough competition in a dynamic marketing environment. A well-built, user friendly, and attractive e-commerce website will result in high traffic intensity and eventually impact the market position of the online vendor. Over the past few decades, a number of studies have been done to predict the key determinants of e-commerce system success. This chapter considers the criteria, namely system quality, content quality, use, trust, support, personalization, and electronic word-of-mouth. Evaluating objects based on a single criterion may pose to be subjective, which have shifted these decisions towards multiple criteria, and hence has popularized the concept of multi-criteria decision making (MCDM). This chapter combines Pythagorean fuzzy analytic hierarchy process (PFAHP) and complex proportional assessment of alternatives with grey relations (COPRAS-G), under multiple decision makers, to select the best e-commerce website from five alternatives.
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Conference papers on the topic "E-commerce quality assessment"

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Singh, Tanya, Sachin Malik, and Darothi Sarkar. "E-commerce website quality assessment based on usability." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813698.

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Yu-Min Lee and Tien-Tsai Huang. "A fuzzy assessment model applied on service quality of e-commerce." In 2010 3rd IEEE International Conference on Ubi-Media Computing (U-Media 2010). IEEE, 2010. http://dx.doi.org/10.1109/umedia.2010.5544455.

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Maule, R. W., S. P. Gallup, and G. Schacher. "Quality of service process variables in complex B2B systems integration assessment." In Proceedings. IEEE International Conference on e-Commerce Technology, 2004. CEC 2004. IEEE, 2004. http://dx.doi.org/10.1109/icect.2004.1319729.

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Yang, Hui. "Quality Assessment of Property Management Personnel in Xiaogan Residential Area and its Educational Promotion Mechanism Research." In 2020 International Conference on E-Commerce and Internet Technology (ECIT). IEEE, 2020. http://dx.doi.org/10.1109/ecit50008.2020.00035.

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"IN-DEPTH ANALYSIS OF SELECTED TOPICS RELATED TO THE QUALITY ASSESSMENT OF E-COMMERCE SYSTEMS." In 2nd International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001412901220128.

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Tiwari, Mr Sanjeev, and Dr Deepak Asrani. "DRIVING SUSTAINABLE INNOVATION: THE HYBRID RECOMMENDATION ENGINE APPROACH." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.23.

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The need for efficient recommendation systems has grown in importance in the quickly developing digital age across a range of industries, such as social media, streaming services, and e-commerce. Conventional recommendation techniques, such content-based and collaborative filtering, have shown great promise but have several drawbacks as well. In order to improve the precision and variety of personalized suggestions, this research paper aims to investigate how these two paradigms can be combined to create a seamless hybrid recommendation engine. It does this by utilizing the ways in which collaborative and content-based approaches complement each other.The paper will conduct a comprehensive analysis of the theoretical underpinnings of content-based and collaborative filtering techniques. The goal of the research is to find synergies that may be used to maximize the combined effectiveness of theseparadigms in a hybrid model by dissecting their subtleties. We will carefully examine implementation options in order to provide useful insights into the hybrid recommendation engine's design and deployment.Important components of this research are the empirical assessments, which offer insightfulinformationonhowwellthehybridrecommendationengineperformsin real-world scenarios. The research will specifically concentrate on how well it can tackle the ongoing issue of the “cold start problem" which arises when traditional methods are unable to propose new users or things. Additionally, the study will evaluate how much the hybrid approach may improve suggestion quality and provide users with a more relevant and interesting content experience.This paper aims to provide a substantial contribution to the understanding of the design, optimization, and practical applications of hybrid recommendation systems byan extensive review of the literature and empirical analyses. The goal istoimproveour knowledge of how these technologies can be used successfully in a variety of application domains by doing this. In the end, this research aims to improve system performance and user happiness in the dynamic field of digital suggestions.
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