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Fihartini, Yuniarti, Arief Helmi, Meydia Hassan, and Yevis Marty Oesman. "Perceived health risk, online retail ethics, and consumer behavior within online shopping during the COVID-19 pandemic." Innovative Marketing 17, no. 3 (July 9, 2021): 17–29. http://dx.doi.org/10.21511/im.17(3).2021.02.
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The risk of virus contracting during the COVID-19 pandemic has changed consumer preference for online shopping to meet their daily needs than shopping in brick-and-mortar stores. Online shopping presents a different environment, atmosphere, and experience. The possibility of ethical violations is higher during online than face-to-face transactions. Therefore, this study was conducted to investigate the influence of perceived health risk and customer perception of online retail ethics on consumer online shopping behavior during the COVID-19 pandemic, involving seven variables, namely perceived health risk, security, privacy, non-deception, reliability fulfillment, service recovery, and online shopping behavior. The data were collected through an online survey by employing the purposive sampling technique to a consumer who has shopped online during the COVID-19 pandemic in Indonesia. 315 valid responses were obtained and analyzed through quantitative method using SEM-Amos. The results showed that perceived health risk and four variables of online retail ethics including security, privacy, reliability fulfillment, and service recovery affected online shopping behavior. Meanwhile, non-deception was found to have an insignificant effect. The coefficient value proved perceived health risk to be more dominant in influencing online shopping behavior than the variables of online retail ethics. Thus, consumers pay more concern for their health during online shopping. However, positive consumer perceptions of the behavior of online retail websites in providing services also can encourage consumers to shop online during this pandemic.
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Samoggia, Antonella, and Tommaso Rezzaghi. "The Consumption of Caffeine-Containing Products to Enhance Sports Performance: An Application of an Extended Model of the Theory of Planned Behavior." Nutrients 13, no. 2 (January 24, 2021): 344. http://dx.doi.org/10.3390/nu13020344.
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Caffeine is the most-used psychoactive substance in the world. About 80% of the world’s population consumes caffeine every day, including athletes and lifestyle users. Thus, it is important to understand the consumer drivers of caffeine-containing beverages and food. This research study aims to explore consumers’ behaviors, perceptions, attitudes, and drivers towards caffeine-containing products to enhance sports performance. The research applies the Theory of Planned Behavior (TPB) in order to understand consumers’ behavior, extended with utilitarian aspects for a comprehensive understanding of consumers’ behavior and attitudes. We interviewed consumers with the support of Qualtrics online software. The data were then processed with SPSS (statistical analysis software). The data elaboration includes a multivariate linear regression model to analyze the consumers’ intention to consume caffeine to enhance the sports performance, and to explore consumers’ preference of marketing leverages for this product category. The results contribute to an understanding of consumers’ consumption and purchasing behavior towards caffeine, and support the validity of the extended TPB to develop a more comprehensive picture of consumer behavior. Consumers have a positive attitude towards caffeine-containing products to enhance sports performance. The main consumer behavior drivers are subjective norms and utilitarian aspects. The present research results may support companies in the development of caffeine-containing products to enhance sports performance.
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Wang, Miao, and HongJian Qu. "Review of the Research on the Impact of Online Shopping Return Policy on Consumer Behavior." Journal of Business Administration Research 6, no. 2 (June 8, 2017): 15. http://dx.doi.org/10.5430/jbar.v6n2p15.
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Based on the relevant literature, this paper study the impact of online shopping return policy on consumer purchase behavior from the dimension of return policy, consumer perception, consumer purchase behavior and so on. In the online shopping environment, the return problem between retailers and consumers is more obvious. Based on the researching achievements of predecessors, return policy can be divided into three dimensions: return cost, return time limit and efforts. Consumer psychological perception of return policy is based on the traditional consumer perception, which can be summarized into three aspects: perceived risk, perceived quality and perceived fairness. In the online shopping environment, the consumer purchase behavior is still a specific research and in-depth discussion. The return policy, as the key information between the two decision points, is of great importance to consumers' purchase and return behaviors.
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Akalamkam, Krishna, and Joy Kumar Mitra. "Consumer Pre-purchase Search in Online Shopping: Role of Offline and Online Information Sources." Business Perspectives and Research 6, no. 1 (November 2, 2017): 42–60. http://dx.doi.org/10.1177/2278533717730448.
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Pre-purchase information search is an integral part of consumer decision-making process and buying behavior. Understanding consumer information search behavior is vital for organizations in order to plan their communication strategy and reach consumers effectively. Though consumer information search behavior is extensively studied in traditional brick and mortar purchase situations, there is dearth of research in understanding consumer information search behavior in online shopping occasions. Given the rapid growth in electronic retail over the last few years, it is imperative to understand consumer information search behavior in online buying situations. This study investigates the factors that influence the extent of usage of different information sources in pre-purchase information search by online shoppers through an empirical research among 1079 online shoppers. The analysis of data using multivariate analysis of covariance (MANCOVA) shows that consumers tend to use both traditional offline information sources and online information sources when they shop online. However, the preference for different online and offline information sources is likely to be different for hedonic and utilitarian products. Individual factors, such as Internet usage experience, need for cognition and age, also tend to influence consumer preference for different online and offline sources. This has important implications for e-marketers as they may need to use different communication channels depending on the nature of the product and the characteristics of their target consumers to effectively promote their offerings.
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Grigoreva, Ekaterina Anatolevna, Liliya Fuatovna Garifova, and Elvira Anasovna Polovkina. "Consumer Behavior in the Information Economy: Generation Z." International Journal of Financial Research 12, no. 2 (January 11, 2021): 164. http://dx.doi.org/10.5430/ijfr.v12n2p164.
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The article examines the features of consumer behavior of Generation Z, the largest consumer group in the world today. The authors highlight the ability and willingness to purchase goods and services online as the main trends in changing consumer behavior, while the main means of getting information, choosing a product (service), and paying for a purchase today are smartphones and tablets actively used by representatives of Generation Z. Generation Z has been determined to be digital consumers boldly shopping online. They stay online most of their time (working online, studying online, social media from 3 to 6 hours a day, watching movies and entertainment content online, etc.) and before purchasing anything, Generation Z expects to access to and evaluate information, reads reviews, and conducts its research. Generation Z looks forward to co-creation with brands, participation in teams, and collaboration with managers; it expects innovation from their employers, leaders, and brands. Due to this digital literate consumption, it makes highly informed, more pragmatic, and analytical decisions than representatives of previous generations. The article also shows that social networks are becoming the main channel for delivering advertising information to a young audience with a focus on visual content (video, infographics) and the shortest formats possible: Generation Z consumes information fragmentarily, as they use several devices simultaneously.
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Katta, Rama Mohana Rao, and Chandra Sekhar Patro. "Online Shopping Behavior." International Journal of Sociotechnology and Knowledge Development 8, no. 4 (October 2016): 21–36. http://dx.doi.org/10.4018/ijskd.2016100102.
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Online shopping is a recent phenomenon in the field of E-Business with promising results indicating revolutionary change in shopping in the world. Accessibility and convenience are the key drivers for a major shift to online shopping. Due to ever increasing work pressure, multiple roles in life style, paucity of time, consumers are on the lookout of such facility that can suit to their changing needs. Online shopping provides the right solution to get the desired goods and services with a touch on the computer/ mobile screen. Consumers are more connected than ever before and have more information and choices at their fingertips today due to expanding connectivity of internet all over the world. If e-marketers know and understand the factors affecting consumer satisfaction, they can further sharpen their marketing strategies to attract and retain customers. The study focuses on identifying the factors influencing online shopping behavior and the reasons for preferring online shopping compared to shopping in conventional stores.
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Lakshmi. "CONSUMER BUYING BEHAVIOR TOWARDS ONLINE SHOPPING." International Journal of Research -GRANTHAALAYAH 4, no. 8(SE) (August 31, 2016): 60–65. http://dx.doi.org/10.29121/granthaalayah.v4.i8(se).2016.2588.
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With the increasing internet literacy, the prospect of online marketing is increasing. There are millions of people online any time and they all are a potential consumer in the online market. Since there are so many providers, the most important thing for organizations is to understand what are consumer wants and needs in this competitive business environment. Customer buying behaviors are influenced by different factors such as culture, social class, references group relation, family, salary level and salary independency, age, gender etc. and so they show different customer behaviors. These studies explain online shopping important and consumer buying behavior in online shopping.
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Agustiningsih, Glorya, Wiratri Anindhita, and Melisa Arisanty. "Mapping of Indonesian Consumer Behavior on Social Media - Netnography Study of Online Shopping Behavior on Social Media for Improving MSME in Indonesia." KnE Social Sciences 2, no. 4 (June 13, 2017): 312. http://dx.doi.org/10.18502/kss.v2i4.902.
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Usaha Mikro, Kecil, dan Menengah/MSME (Micro, Small, and Medium Enterprises, thereafter called MSMEs) is one of the business sectors playing significant roles in the economic growth of Indonesia. The increase of MSMEs pushes the State Minister for Cooperatives, and Small and Medium Enterprises (SME) to encourage MSME performance by enhancing their quality. One attempt taken is to apply information and communication technology, especially social media, to promote the products. In reality, many MSMEs lack sufficient understanding of social media usage in business. As a result, many MSMEs have difficulties identifying online media consumer behavior in developing their marketing strategies. This researchattempts to map consumer behavior in social mediaand explores how MSMEs can capitalize on the marketing powers of social media. This research uses a netnography method for mapping online consumer behaviour. Primary data are collected from observations of online interaction between consumers and sellers (MSMEs). The results are analyzed using Philip Kotler’s Consumer Behavior Model and Kozinet’s Online Consumer model.
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Gu, Shengyu, Beata Ślusarczyk, Sevda Hajizada, Irina Kovalyova, and Amina Sakhbieva. "Impact of the COVID-19 Pandemic on Online Consumer Purchasing Behavior." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 6 (September 8, 2021): 2263–81. http://dx.doi.org/10.3390/jtaer16060125.
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With the spread of the COVID-19 pandemic and the increasing importance of e-commerce, the study of online consumer behavior is of particular relevance. The purpose of this study was to form a methodological approach to assess the relationships and the level of influence of the factors activating the purchasing behavior of online consumers against the background of the COVID-19 pandemic. The research methodology was based on the transformation of Cattell’s questionnaire and the implementation of correlation analysis. To determine the predisposition of online consumer behavior at the time of making a purchase decision, this study used the questionnaire method. The survey was conducted among online shoppers in the top 10 countries in terms of e-commerce market growth. The scientific contribution is the proposed methodological toolkit to assess the purchasing behavior of online consumers, which identifies the most influential factors in their purchasing behavior and provides an opportunity to assess the dynamics of their activity during the study period, to identify key trends and determine changes in their behavior. The research revealed what changes in online consumer buying behavior are typical in the COVID-19 pandemic. The impact of consumer awareness and experience has increased. Online consumers have become more experienced, which has influenced the activity of their buying behavior. This study proved the shifting influence of online consumer purchasing behavior factors during the pandemic. The increasing importance of the speed of decision making by consumers when purchasing goods and services online was determined.
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Wu, Shwu-Ing, and Hsin-Ti Tsai. "A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences." International Journal of Marketing Studies 9, no. 3 (May 29, 2017): 24. http://dx.doi.org/10.5539/ijms.v9n3p24.
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The appearance of Internet does not only bring changes to consumption patterns, but also to the business modes of companies, as a result of which Internet has become a perfect sales channel. When a consumer shops online, s/he might be influenced by a huge variety of factors. In this study, ABC model of attitude was adopted to investigate empirically the influences of website characteristics and external stimulus on consumers’ online shopping behavior. A relationship model was also established to compare the differences of consumer groups with different online shopping experiences.Using convenience sampling, a total of 818 valid questionnaires were collected for the purpose of this study. Based on their online shopping experiences, consumers were divided into high frequency and low frequency groups in order to compare their consumption patterns as a group. According to the results, the two groups with different online shopping experiences were significantly different in three relational paths. To be specific: (1) Compared to the low frequency group, consumers in the high frequency group is more significantly positively influenced by website characteristics along the affection path during their online shopping. (2) Compared to the high frequency group, consumers in the low frequency group are more significantly positively influenced by website characteristics along the attitude path during their online shopping. (3) Compared with the low frequency group, a more significant positive influence is found among consumers in the high frequency group between consumer affection and consumer behavior path. These differences in the consumer behavior patterns of groups with different online shopping experiences according to the research results, therefore, could be used as references for online shopping business owners in their formulation of strategies.
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Jain, Neha, Vandana Ahuja, and Y. Medury. "Internet Marketing and Consumers Online." International Journal of Online Marketing 2, no. 3 (July 2012): 70–82. http://dx.doi.org/10.4018/ijom.2012070105.
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The internet plays two important roles in marketing-influencing consumer behavior and harnessing consumer intelligence. While its vital for organizations to evaluate consumer intentions and provide consumers the necessary information they are looking for, equally important is the need for collecting consumer data by studying the consumer behavioral patterns on the internet and subsequently nurturing long term relationships with consumers. This study aims at identifying the dimensions of website attributes that represent intentions of consumers for visiting product and brand websites and examines the relationship between various website attributes, with respect to the function performed by the attribute. The methods on how the results were obtained and used will be explored further in this article. This research will be further used for analyzing website attributes with respect to Web Traffic, Website Reputation, Alexa Reach & Readability.
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Strang, Kenneth David. "Consumer Behavior in Online Risky Purchase Decisions." International Journal of Online Marketing 8, no. 2 (April 2018): 1–26. http://dx.doi.org/10.4018/ijom.2018040101.
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There is very little research about how consumers of different races trust online marketing information from businesses or government when making expensive purchase decisions such as cancer treatment medicine. In this article, a large cross-cultural sample was surveyed to evaluate trust belief levels for common online information sources when making risky purchase decisions. Trust belief levels of online information sources were significantly different across ethnicity and gender when making risky decision. Females across all ethnicities held higher trust beliefs for online information sources, and Asian females in particular had the highest trust beliefs for online data from library research to health care providers. Trust belief levels were lower for online social media and bank/financial institution online information sources for risky purchase decisions. These findings can be used by leaders, political authorities, and consumer behavior marketing managers to segment consumers by demographic characteristics.
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Kao, Yang-Ta, Hsiau-Wen Lin, and Dai-Yi Qiu. "Implementation of Offline Consumer Behavior Tracking." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 09 (May 4, 2021): 2150028. http://dx.doi.org/10.1142/s0218001421500282.
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Due to declining trading volume growth in e-commerce platforms, physical channels have attracted considerable investments from various large international companies (e.g. Alibaba, JD, Walmart, Wanda, and Wuzhou International). However, e-commerce platforms can track consumers’ behaviors (attraction to landing page design, clicks on certain products, consumer behavior trajectory tracking, clicks on advertisements, and internal link optimization of product pages), a feat unachievable in current physical channels. Consequently, this study attempted to apply the characteristics of online channels in a physical channel by using image object tracking and image detection techniques. Through this inclusion, physical channels are capable of providing consumers with more favorable experience and interaction, and brick-and-mortar store owners can obtain a more accurate understanding of consumer behaviors of store consumers. Information acquired through this system can be provided to store owners to serve as reference for merchandise placement, arrangement of display shelves, and consumer circulation path planning. This study used the technique of image processing to locate the Region of Interest and applied object tracking to get the consumer’s trajectory which successfully implemented the consumer-tracking characteristics of online platforms in a physical channel while retaining the unique experience of the physical channel. This results in a win–win scenario for businesses and consumers.
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Lee, Jungwon, Okkyung Jung, Yunhye Lee, Ohsung Kim, and Cheol Park. "A Comparison and Interpretation of Machine Learning Algorithm for the Prediction of Online Purchase Conversion." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 5 (May 5, 2021): 1472–91. http://dx.doi.org/10.3390/jtaer16050083.
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Machine learning technology is recently being applied to various fields. However, in the field of online consumer conversion, research is limited despite the high possibility of machine learning application due to the availability of big data. In this context, we investigate the following three research questions. First, what is the suitable machine learning model for predicting online consumer behavior? Second, what is the good data sampling method for predicting online con-sumer behavior? Third, can we interpret machine learning’s online consumer behavior prediction results? We analyze 374,749 online consumer behavior data from Google Merchandise Store, an online shopping mall, and explore research questions. As a result of the empirical analysis, the performance of the ensemble model eXtreme Gradient Boosting model is most suitable for pre-dicting purchase conversion of online consumers, and oversampling is the best method to mitigate data imbalance bias. In addition, by applying explainable artificial intelligence methods to the context of retargeting advertisements, we investigate which consumers are effective in retargeting advertisements. This study theoretically contributes to the marketing and machine learning lit-erature by exploring and answering the problems that arise when applying machine learning models to predicting online consumer conversion. It also contributes to the online advertising literature by exploring consumer characteristics that are effective for retargeting advertisements.
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Cummins, Shannon, James W. Peltier, John A. Schibrowsky, and Alexander Nill. "Consumer behavior in the online context." Journal of Research in Interactive Marketing 8, no. 3 (August 11, 2014): 169–202. http://dx.doi.org/10.1108/jrim-04-2013-0019.
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Purpose – The purpose of this article is to review the consumer behavior and social network theory literature related to the online and e-commerce context. Design/methodology/approach – To conduct the review, the authors draw on a sample of 942 articles published from 1993 to 2012 addressing consumer behavior or social network issues in the online or social media context. The sample is analyzed by both era (incubation, expansion and explosion) and primary topic. Findings – Eight categories of online consumer behavior research are described. In the order from largest to smallest, these are: cognitive issues, user-generated content, Internet demographics and segmentation, online usage, cross cultural, online communities and networks, strategic use and outcomes and consumer Internet search. Originality/value – The literature has been summarized in each category and research opportunities have been offered for consumer behavior and social network scholars interested in exploring the online context.
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Hess, Thomas, Karl R. Lang, and Sean Xin Xu. "Social embeddedness and online consumer behavior." Electronic Markets 21, no. 3 (September 2011): 157–59. http://dx.doi.org/10.1007/s12525-011-0071-1.
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S, Balusamy, and Giri N. "Consumers’ attitude towards online shopping." Journal of Management and Science 6, no. 3 (December 31, 2016): 219–55. http://dx.doi.org/10.26524/jms.2016.19.
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E-commerce offers many online marketing opportunities to companies worldwide and along with high rapid growth of online shopping; it has impressed many retailers to sell products and services through online channel to expand their market. Online shopping or marketing is the use of technology (i.e., computer, internet) for better marketing performance. And retailers are mixing strategies to meet the demand of online shoppers; they are busy in studying consumer in the field of online shopping, to see the consumer attitudes towards online shopping and specifically studying the factors influencing consumers to shop online. e- retailers should keep in mind that consumer behavior might change in time to time especially in online market so the e-retailer should investigate the consumer behavior in time to time and adapt the products and services to serve as the customer requirements
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Țoniș-Bucea-Manea, Rocsana, and Ovidiu Blăjină. "Factors Influencing Online Consumer Behavior in the Era of IoT." Materials Science Forum 957 (June 2019): 81–89. http://dx.doi.org/10.4028/www.scientific.net/msf.957.81.
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Consumers feels the fulminate evolution of internet and technologies in everyday life, in the personal devices interconnected with (mobiles, tables, cars). The IoT (internet of things) changes the houses and institutions activities, or holiday services, etc. This trend is present in every field of the current digital economy, too, bringing new devices and modalities of online marketing, such as virtual reality and augmented reality. This is the reason that each company has to face the challenge by having a constant open communication with the consumers, taking advantage of the new technologies facilities and social media channels. However, the companies can extend their market share if they take into account the consumer nostalgia of old times products and services. The paper makes an analysis of the factors that may affect the behavior of consumers using internet to buy/order online content. For the analysis the Least squares model was implemented. The model shows in how much variables such as: mobile equipment used to search the internet on the move, companies using software, such as CRM to analyse clients’ data, consumers’ level of internet skills, consumers’ level of computer skills, consumers interacting on internet with public authorities, influence the consumer behavior.
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Alika, Vinnoya Apcaresta, and Setyo Riyanto. "The Influence of Changes in Sales Culture and Competitive Advantages to Consumer Behavior Online Shop on Covid-19 Pandemic Conditions." International Journal of Innovative Science and Research Technology 5, no. 6 (July 1, 2020): 542–46. http://dx.doi.org/10.38124/ijisrt20jun478.
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Coronavirus has introduced us to life online. Online Shop development or online store through internet media already mushed in Indonesia. The quality of service that exceeds the expectations of consumers can attract consumer shopping and consumer confidence in the Online Shop is a key point to establish long-term relationship with consumers. The research uses primary data obtained from questionnaires distributed to 75 entrepreneurs affected by COVID-19. This study explains the partial and simultaneous influences between marketing culture variables (X1), competative Excellence (X2), and consumer attitudes (Y). A significant and positive influence and reliable on the use of Sales Culture and Competitive Advantage on Consumer Behavior. This indicates that the Sales Culture (X1) and Competitive Advantage (X2) Usage variables provide a simultaneous effect of 22% on Consumer Behavior (Y).
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Sam, Kin Meng, and Chris Chatwin. "Online consumer decision-making styles for enhanced understanding of Macau online consumer behavior." Asia Pacific Management Review 20, no. 2 (June 2015): 100–107. http://dx.doi.org/10.1016/j.apmrv.2014.12.005.
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Lee, Chi-Hsun, and Jyh Jeng Wu. "Consumer online flow experience." Industrial Management & Data Systems 117, no. 10 (December 4, 2017): 2452–67. http://dx.doi.org/10.1108/imds-11-2016-0500.
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Purpose The purpose of this paper is to investigate the consumer experience of flow in an online consumer shopping environment and use online consumer participants to examine how consumer pursuit of shopping value links in turn affects their satisfaction and unplanned purchase behavior. Design/methodology/approach The research model was tested using the data collected from 363 valid questionnaires. Structural equation modeling was employed to verify and validate the research model. Findings The results of this study show that perceived control of flow and concentration will positively affect consumer utilitarian value, while concentration and cognitive enjoyment will positively affect hedonic value. Further, the effect of utilitarian value on satisfaction is greater than that of hedonic value. Finally, hedonic value positively affects unplanned buying behavior. This research results may serve as a reference for online store operators. Research limitations/implications This study used cross-sectional data for its cause and effect analysis. Long-term conclusions based on this study are not possible. Future scholars may consider using a longitudinal approach. Practical implications The results of this study clearly demonstrate that e-commerce operators must construct environments that create flow experiences for shoppers by increasing their perceived control, concentration, and cognitive enjoyment. Doing so will create both utilitarian and hedonic values, making consumers feel satisfied with their shopping experience and leading them to make purchases not originally planned in their shopping list. Originality/value This study’s major contribution is its successful linkage of the dimensions of flow experience to purchase values. Moreover, it confirms that when online shoppers have an unselfconscious flow experience, they will experience both utilitarian and hedonic values, thus increasing their satisfaction.
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Chaudary, Samra, Sehrish Nisar, and Muhammad Abdul Rehman. "Factors Influencing the Acceptance of Online Shopping in Pakistan." Lahore Journal of Business 3, no. 1 (September 1, 2014): 75–97. http://dx.doi.org/10.35536/ljb.2014.v3.i1.a5.
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The rapid growth of the Internet and its extended reach has helped developing countries adopt e-commerce, thus enabling consumers to make transactions worldwide. This study identifies the factors related to online shopping and examines consumer motivation and acceptance in this context. We employ exploratory factor analysis, structural equation modeling, and cluster analysis and find that Pakistani consumers behave very differently from consumers in Western countries or countries that have adopted online shopping on a wide scale. While factors such as convenience and trust are seen to affect consumer behavior, other variables such as perceived price and information availability are less importance. The study also examines the reasons for this deviation from typical consumer behavior.
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He, Hui, and GuoXiong Li. "Strategies for building a complete and efficient online shopping supply chain system." E3S Web of Conferences 253 (2021): 03030. http://dx.doi.org/10.1051/e3sconf/202125303030.
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In the electricity business enterprise different sales model, the different consumer online shopping behavior will result in different market demand, the different market demand for the influence of e-commerce supply chain system is different also, therefore, it is necessary for e-commerce enterprises to determine the network equilibrium conditions of the whole e-commerce supply chain according to the online shopping behaviors of consumers in different market demands under different sales modes, so as to improve the operational efficiency of e-commerce supply chain. Through the analysis of supply chain network, online shopping, consumer behavior and its influencing factors in four levels of supplier, e-retail, express business and market demand, this paper reviews and summarizes the supply chain network equilibrium model and its application research status, and analyzes the equilibrium problem of online supply chain system under different conditions from the perspective of consumer online shopping behavior research. Relevant strategies are proposed.
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Yan, Bo, Yan-Ru Chen, Xiao-Tai Zhou, and Jing Fang. "Consumer behavior in the omni-channel supply chain under social networking services." Industrial Management & Data Systems 119, no. 8 (September 9, 2019): 1785–801. http://dx.doi.org/10.1108/imds-03-2019-0111.
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Purpose The purpose of this paper is to analyze how social networking services (SNSs) affect consumers’ behaviors on the omni-channel supply chain by using a reverse research method. Design/methodology/approach Initially, a questionnaire was administered to obtain data on the relationship between the perception factors of channels and consumer behavior. Subsequently, a structural equation model was constructed, and consumer behavior were determined in the omni-channel supply chain. Finally, the importance of various factors that affected consumer behavior in the omni-channel supply chain under SNSs was determined. Findings Conclusions affirm that a positive effect on consumer channel behaviors occurs when buyers obtain information from social network platforms. However, regardless of online, offline, or mobile terminal, shortcomings are indicated in consumers’ lack of feedback on purchased goods and the bias of feedback. Originality/value The study explored ways to efficiently apply SNSs in building the omni-channel supply chain. Meanwhile, corresponding suggestions were provided such that companies will know about consumer needs.
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Chiou, Jyh-Shen, Szu-Yu Chou, and George Chung-Chi Shen. "Consumer choice of multichannel shopping." Internet Research 27, no. 1 (February 6, 2017): 2–20. http://dx.doi.org/10.1108/intr-08-2013-0173.
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Purpose Consumers display complex shopping behaviors in the multichannel environment, which includes traditional retail stores and the internet. The purpose of this paper is to examine the effects of the customer-sales associate relationship, customers’ receptiveness to online store shopping, and their interaction effects on the customer’s attitude toward multichannel shopping behavior when the firm decides to establish an online store as the online channel. The authors also examine how customers’ multichannel shopping behavior affects their future spending intentions. Design/methodology/approach Survey data were collected by soliciting 231 customers who purchased cosmetics in department stores within the past three months. Subjects were asked to give their overall evaluation of their offline and online shopping experiences in the last three months. Findings Results show that the customer-sales associate relationship significantly reduces customers’ attitude toward searching offline but purchasing online. Receptiveness to online store shopping has significant effects on customers’ attitude toward multichannel shopping behaviors regardless of whether they search or purchase via the online channel. The customer-sales associate relationship also moderates the relationship between customers’ receptiveness to online store shopping and multichannel shopping behaviors. Finally, unlike other types of online and offline multichannel shoppers who display higher future spending intentions when the physical store decides to open an online store, those who prefer physical stores for both information searching and product purchasing display lower spending intentions. Originality/value To the best of the authors’ knowledge, this paper is the first to use customer-sales associate relationships to investigate consumers’ attitude toward multichannel shopping behavior. The findings provide meaningful implications for service providers that use sales associates to increase consumers’ value via face-to-face service, but find it challenging to go online.
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Hutami, Rr Rieka F., and Zenia Rahmah. "PENGARUH ATRIBUT TOKO ONLINE TERHADAP PERILAKU PEMBELIAN ONLINE KONSUMEN LAZADA INDONESIA." KINERJA 20, no. 2 (December 20, 2016): 149. http://dx.doi.org/10.24002/kinerja.v20i2.841.
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AbstractThe number of Internet users in Indonesia is growing, making business conventional turning into a business online. For understand online consumer behavior patterns, companies need to know the factors that influence buying behavior online. The number of respondents in this study were 387 respondents who shopped online in the website Lazada Indonesia.co.id. Data were analyzed using SEM-PLS (Partial Least Square) and using software SmartPLS3. The results showed that the Site Commitment is the most significant variables that influence the purchasing behavior of online consumers Lazada Indonesia.Keywords: Online Stores Attributes, Online Purchase Behavior
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Sindhwani, Preetika, and Vandana Ahuja. "A Study of Online Co-Creation Strategies of Starbucks Using Netnography." International Journal of Online Marketing 4, no. 1 (January 2014): 39–51. http://dx.doi.org/10.4018/ijom.2014010104.
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Inbound marketing focuses on producing relevant, audience captivating, high quality content that attracts consumers towards the online presence of a specific organization, brand or product. This study has been conducted using the online marketing research technique called netnography – a qualitative and interpretive methodology for the study of users in the virtual space. As the virtual medium presents a good medium for organization-consumer, bi-directional dialogue, companies can use the online arena for soliciting consumer views for their products, promotion mechanisms etc., hence, making these ideal tools to enable consumer participation in the co-creation strategies of organizations. Co-creation involves the consumers' participation in the creation of the core offering itself. It can occur through shared inventiveness, co-design or shared production of related goods, and can occur with customers and any other partners in the value network (R. Bolton, & S. Saxena-Iyer, 2009). Co-creation occurs when the customer participates through spontaneous, discretionary behaviors that uniquely customize the service experience (beyond the selection of pre-determined options). This was done by exploratory research on consumers' behavior in the online community “My Starbucks Idea”, with respect to updates and responses from Starbucks and their behavior with respect to feedback and suggestions from consumers. Ideas include fresh ideas given by other consumers to Starbucks through posts and the ideas which have been implemented recently in the stores that are updated by Starbucks' employees. Starbucks behavior was seen in terms of the ratio of volume of suggestion posts by consumers and volume of ideas adopted by Starbucks. “My Starbucks Idea” involves the psychological aspects of consumer behavior which are utilized by Starbucks because the ratio of volume of suggestion posts by consumers and the volume of ideas adopted by Starbucks is remarkably high. Another reason of participation of the consumers is the social connection; it is supported by the higher volume of posts observed.
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Christanto Edy, Irwan, and Riyanto -. "Recursive Model: Cognitive Learning Behavior in Online Consumers." International Journal of Engineering & Technology 8, no. 4 (October 19, 2019): 444. http://dx.doi.org/10.14419/ijet.v8i4.29773.
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Online purchasing decisions are online consumer behavior and are an interesting phenomenon in research. This study aims to prove the concept that online consumer purchasing decisions are influenced by cognitive learning behavior. The main theory underlying this research is consumer behavior and learning. Learning theory is used to analyze consumer learning behavior online with a mix of (crossing) learning theories of behavior and cognitive learning theory. Combination (crossing) between behavioral learning theory, cognitive is called cognitive learning behavior (cognitive learning behavior). This research is a survey. The data used are primary data, with the research instrument in the form of a questionnaire. The subjects of this study are individuals namely online consumers. Online consumers in this study are millennial generation who have made online purchases on one of the e-commerce sites in Indonesia (Matahari.mall, bukalapak, tokopedia, shopee, Zilingo) with this type of product is fashion. In this study 200 respondents were selected. The study consisted of organic stimulation of marketing on the website, online purchasing decisions, cognitive learning, experience preferences. Convenience sampling sampling technique is a sampling method where sampling is based on the availability of elements and the ease of obtaining them. Collecting data with online questionnaires and distributing questionnaires through whatsapp to respondents who are easily contacted by researchers. Data analysis methods with 1) test data quality instruments (validity and reliability), 2) Analysis of Descriptive Statistics and 3) Model Analysis with SEM. The results showed that 1) Organic stimulation of marketing on the website had a positive and significant effect on cognitive learning, 2)experience preference had a positive and significant effect on cognitive learning, 3)cognitive learning had a positive and not significant effect on online purchasing decisions, 4) experience preference had a positive and not significant effect on online purchasing decisions, 5) Organic stimulation of marketing on the website had a positive and significant effect on online purchasing decisions.
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Kumar, Hemant, Muskan Jain, and Manpreet Singh Bajwa. "Online Food Delivery App ‘Foodie’." Journal of University of Shanghai for Science and Technology 23, no. 08 (August 11, 2021): 761–71. http://dx.doi.org/10.51201/jusst/21/07200.
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The purpose of this thesis is to build an online food ordering application named “FOODIE”. Our research also includes the “satisfaction of consumers by using online food services”. It will deal with consumer behavior & helps to analyze their perceptions & will also help us to understand consumer equilibrium. Through these platforms, sharing one’s experience with others has become so easy, in the form of reviews, be it regarding a product brought or any kind of service availed.
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Eka Dewi Setia Tarigan, Yuni Syah Putri, and Hesti Sabrina. "Green Buying Behavior Using Theory of TPB in Online Shop in Medan City." International Journal of Science, Technology & Management 2, no. 3 (May 27, 2021): 604–7. http://dx.doi.org/10.46729/ijstm.v2i3.223.
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Awareness of environmental responsibility in order to build a sustainable business makes marketers realize the importance of nurturing green consumers. The community now realizes the importance of green purchasing behavior in order to realize responsible behavior to preserve the environment. In this new normal era, people also purchase green products online. The research uses the TPB (Theory of Planned Behavior) theory proposed by Ajzen. This study discusses how the behavior of green online shop consumers in Medan city. The variables in this study are green consumer behavior. variable attitude, subjective norm and perceived behavior control. In the new normal era, the questionnaire was distributed and answered via google form to 100 respondents. From the processing of multiple linear regression analysis, it was found that the variable attitude and subjective norm had a positive and significant effect on green consumer behavior, and the variable perceived behavior control had no effect on green consumer behavior on online shops in Medan.
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Cheung, Christy M. K., Gloria W. W. Chan, and Moez Limayem. "A Critical Review of Online Consumer Behavior." Journal of Electronic Commerce in Organizations 3, no. 4 (October 2005): 1–19. http://dx.doi.org/10.4018/jeco.2005100101.
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Kumar, Lang, and Peng. "Consumer Search Behavior in Online Shopping Environments." e-Service Journal 3, no. 3 (2004): 87. http://dx.doi.org/10.2979/esj.2004.3.3.87.
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Goriparthi, Ravi Kumar, Terefe Zeleke, and Merga Mekuria. "Consumer Behavior on Online Shopping in India." International Journal of Emerging Research in Management and Technology 6, no. 4 (April 20, 2017): 184–94. http://dx.doi.org/10.23956/ijermt/sv6n4/121.
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Hwang, Yujong, and Jaeseok Jeong. "Electronic commerce and online consumer behavior research." Information Development 32, no. 3 (September 23, 2014): 377–88. http://dx.doi.org/10.1177/0266666914551071.
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Kumar, Nanda, Karl R. Lang, and Qian Peng. "Consumer Search Behavior in Online Shopping Environments." e-Service Journal 3, no. 3 (2004): 87–102. http://dx.doi.org/10.1353/esj.2005.0011.
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Patwardhan, Padmini, and Jin Yang. "Internet Dependency Relations and Online Consumer Behavior." Journal of Interactive Advertising 3, no. 2 (March 2003): 57–69. http://dx.doi.org/10.1080/15252019.2003.10722074.
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Masiero, Lorenzo, Giampaolo Viglia, and Marta Nieto-Garcia. "Strategic consumer behavior in online hotel booking." Annals of Tourism Research 83 (July 2020): 102947. http://dx.doi.org/10.1016/j.annals.2020.102947.
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Liao, Chechen, Prashant Palvia, and Hong-Nan Lin. "Stage antecedents of consumer online buying behavior." Electronic Markets 20, no. 1 (February 24, 2010): 53–65. http://dx.doi.org/10.1007/s12525-010-0030-2.
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Hao, Na, H. Holly Wang, and Qingjie Zhou. "The impact of online grocery shopping on stockpile behavior in Covid-19." China Agricultural Economic Review 12, no. 3 (August 14, 2020): 459–70. http://dx.doi.org/10.1108/caer-04-2020-0064.
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PurposeThis research is to examine the impact of online channels on food stockpile behavior.Design/methodology/approachIn this study, we use bivariate probit models to empirically investigate the impact of online purchasing channels on Chinese urban consumer food hoarding behaviors with random survey samples.FindingsResults show that fresh food e-commerce channels are more likely to be associated with panic stockpile behaviors due to higher likelihood of supply shortages than offline channels with government assistance in logistic management. In contrast, community group buy, another format of e-commerce, appears superior in satisfying the consumer needs and easing the panic buying perception.Practical implicationsIt suggests that online channels may have diverse impacts on consumers' panic stockpiling behaviors during the extreme situations. Online channels need to develop efficient supply chains to be more resilient to extreme situations and the government shall recognize the increasing share of the online channels together with traditional offline channels when implementing supporting policies.Social implicationsWith ever increasing share of online channels, it is imperative in terms of policy implications to understand how would online channels affect hoarding behavior.Originality/valueWe are the first study in online shopping's impact on food stockpile during pandemics using a random sample. Although food stockpile behavior at times of emergency have been investigated in many literature, there are no empirical studies on the impact of online channels on stockpile behaviors under extreme situations. Unlike disasters that immediately impact every entity in supply chains covering producers, vendors, distribution centers and retailers, pandemics did not render supply chains affected immediately, but rather increase consumers' willingness to shop online to avoid virus. Thus, Covid-19 provides a natural experiment to investigate the online channels' impact on stockpile behavior.
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Wang, Weihua, and Saebum Kim. "Lady first? The gender difference in the influence of service quality on online consumer behavior." Nankai Business Review International 10, no. 3 (August 5, 2019): 408–28. http://dx.doi.org/10.1108/nbri-07-2017-0039.
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Purpose This paper aims to articulate the gender differences in the influence of service quality on online consumer behavior. Design/methodology/approach Through data collected via a Web-based questionnaire survey from 330 consumers in China, this study builds and analyzes a structural equation model, using five dimensions of E-service quality, customer satisfaction and customer loyalty, and focuses on the moderation test of gender. Findings This study finds that first, efficiency dimension of e-service quality is of same importance for male and female customers; second, there are significant gender differences in the responsiveness and reliability dimensions of E-service quality, which affect customer satisfaction; third, the impact of female customer satisfaction on customer loyalty is stronger than for male customers. Practical implications Online retailers with limited service resources should preferentially respond to service requests from male customers and provide more reliable services for female consumers under the same condition. Originality/value The research validated the applicability of self-regulation theory in online consumer behavior, explored the occurrence stage and characteristics of gender differences in online consumer behavior under influence of SRT and first found some apparent gender differences in the influence of different dimensions of e-service quality on online consumer behavior.
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Marbun, Ronald Hasiholan. "Factors affecting Consumer Purchase Behavior in online shopping website." Business and Entrepreneurial Review 7, no. 1 (October 24, 2016): 52. http://dx.doi.org/10.25105/ber.v7i1.1183.
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The background of this research was to describe how important information features of the website affecting consumers in making purchase commitment in an online shopping. Consumer basically judges their products or service information based on information presented on the site. When consumers are satisfied and happy, we can expec them to be more committed to the site and make repetitive purchase. The objective (s) of this research is to investigate the relationship between information satisfaction and relational benefit to site commitment and purchase behavior in an online shopping website. The hypothesis test uses correlation analysis on relationship between information satisfaction with site commitment and site commitment with purchase behavior. The Moment Pearson test used in this thesis was to find out how strong the relationship of all variables related to site commitment and purchase behavior. The results<br />of this research conclude that there are positive relationship about information satisfaction and relational benefit to purchase behavior.
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López-Bonilla, Luis Miguel, Borja Sanz-Altamira, and Jesús Manuel López-Bonilla. "Self-Consciousness in Online Shopping Behavior." Mathematics 9, no. 7 (March 28, 2021): 729. http://dx.doi.org/10.3390/math9070729.
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Self-consciousness can be considered as the internal disposition to direct attention to oneself. This dispositional tendency can be focused on private aspects of the self, but also on public characteristics of the individual. We examine self-consciousness in online consumer behavior. This concept has been poorly investigated in consumer research. The main objective of this paper is to analyze the influence of the dimensions of self-consciousness in consumer adoption of online shopping. This study is based on a sample of 725 Spanish undergraduates. Findings indicated that public self-consciousness is a significant predictor of the adoption of online shopping, and inversely affects perceived ease of use and usefulness. These results may have important implications in the segmentation of users of self-service technologies.
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Duralia, Oana. "Particularities of the European Consumer’s Behavior in Online Environments." Studies in Business and Economics 11, no. 3 (December 1, 2016): 21–29. http://dx.doi.org/10.1515/sbe-2016-0032.
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AbstractAlthough it is no longer a novelty that the Internet has now become “fashionable”, being a means of informing, socializing and trading, which is being increasingly used by the general public, it is now imperative to study the implications of its use both on the consumer, including all the roles that it can take (initiating, financing, influencing, decision making, actual consumption of goods and services) and on the marketer, who is forced to consider the Internet as a marketing tool that can be used as a lever to generate positive reactions from the consumers. Against this background, the orientation of the individuals towards the online environment, defined by specialized literature as “the second life”, comes to justify, on the one hand, the consumers’ need for social interaction, and, on the other hand, the need for comfort and speed in identifying optimal alternatives. This paper aims to address only a facet of the behavior of the digital consumer, proposing a theoretical and instrumental analysis of the purchasing behavior of online goods and services.
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Dulleck, Uwe, Franz Hackl, Bernhard Weiss, and Rudolf Winter-Ebmer. "Buying Online: An Analysis of Shopbot Visitors." German Economic Review 12, no. 4 (December 1, 2011): 395–408. http://dx.doi.org/10.1111/j.1468-0475.2011.00535.x.
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Abstract We conduct an empirical study on the search and purchasing behavior of buyers on an Austrian price comparison site. On such a market a consumer typically searches for the cheapest price of a given product. Reliability and service of the supplier, however, are other important characteristics of an offer. We find robust evidence of consumer behavior that can be described as a two-stage procedure: shoppers first select a group of candidate offers based on the price only; then, in the actual buying decision consumers tradeoff a lower price with higher reliability of the retailer.
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Khatira Dovlatova, Khatira Dovlatova. "ANALYSİS OF FACTORS İNFLUENCİNG TO CONSUMER BEHAVİOR İN ONLİNE SHOPPİNG." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 09, no. 05 (July 4, 2021): 42–51. http://dx.doi.org/10.36962/pahtei0905202142.
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Internet has covered all sphere of life very fast and the world has begun to incur important changes since the beginning of the new millennium. The rapid development of the Internet and the fact that online interaction takes place in a virtual environment at any time of the day make online communication one of the basic communication tools. In this context, online platforms have turned into new markets for businesses. The simple method to contact individuals is presently getting more conceivable with the web. It has begun to provide consumers with the opportunity to shop at anytime and anywhere. Undoubtedly e-marketing is the most important usage sphere of the internet in the business world. Many important characteristics of the internet have played a main role in consumers' buying behavior for online stores. In this regard, defining the factors which influence the behavior of consumers in online shopping is a key element for businesses and marketers to guarantee efficiency. Keywords: multi-criteria decision making, consumer behavior, factors affecting online shopping, fuzzy AHP, eigenvalue, eigenvector
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Nguyen, Huong Hoang Diem, Minh Thi Binh Nguyen, and Tram Ngoc Bich Nguyen. "Factors influencing consumers’ attitude in E commerce." Science and Technology Development Journal 19, no. 4 (December 31, 2016): 68–80. http://dx.doi.org/10.32508/stdj.v19i4.772.
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The study investigates key factors that affect consumers' attitude towards shopping online and examines its influence on online shopping behavior. A model with six independent variables including Financial risk, Product risk, Convenience risk, Non-Delivery risk, Return risk, Service and Infrastructure is utilized. Data were collected from 500 online shopping consumers in three cities, namely Ho Chi Minh, Ha Noi and Da Nang. Results show that all six independent variables are statistically significant in explaining consumers' attitudes towards online shopping, in which consumer perception about service and infrastructure is the most significant, with positive effect. On the contrary, consumer perception about Financial risk has a negative effect on the attitude. The findings also reveal the positive role of attitude in encouraging online shopping behavior.
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Singh, Devinder Pal. "Integration of TAM, TPB, and Self-image to Study Online Purchase Intentions in an Emerging Economy." International Journal of Online Marketing 5, no. 1 (January 2015): 20–37. http://dx.doi.org/10.4018/ijom.2015010102.
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E-commerce offers significant opportunity for retailers in emerging markets like India due to the growing Internet popularity and rising incomes. But the Internet penetration growth does not commensurate with the online retail sales. This necessitates unraveling and understanding the online buying behavior. This paper employs ‘Theory of planned behavior (TPB)', ‘Technology acceptance model (TAM)' and self-image to unfold the online consumer behavior. It proffers an integrated model of online consumer behavior by integrating the self-image variable with the TPB and TAM models. The study tests the various components of integrated model and find that attitudes, subjective norms, self-image, and self-efficacy significantly impact online purchase intentions. The study makes significant theoretical contributions and provides valuable insights into the consumers' online purchase behavior.
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Tan, Si, and Weiping Chen. "Building consumer trust in online food marketplaces: the role of WeChat marketing." International Food and Agribusiness Management Review 24, no. 5 (July 12, 2021): 845–62. http://dx.doi.org/10.22434/ifamr2020.0159.
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Consumer trust receives high attention in food marketplaces, however, little research focuses on how to build consumer trust in the online context. Drawing on signaling theory and presence theory, this paper proposes a comprehensive framework with which to explain the influence mechanism of WeChat food marketing on consumer trust. Utilizing data from 672 consumers in China’s WeChat food marketplaces, this study conducted a partial least squares structural equation modeling analysis. The findings indicate that food seller’s content behavior and interactive behavior on WeChat positively affect consumer trust through the mediating effect of consumer’s perceived information quality and presence. And consumer trust can enhance consumer loyalty. This study extends the research on consumer trust in online food marketplaces. It also provides certain theoretical guidance for food marketers to make better use of WeChat for trust building.
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Hijrah, Lailatul. "Segmentasi Konsumen pada Pasar Online di Indonesia." FORUM EKONOMI 19, no. 2 (January 10, 2018): 210. http://dx.doi.org/10.29264/jfor.v19i2.2127.
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This research aims to analyze market analysis Online based online consumer segmentation, profile and their characteristics. In the first stage of this study conducted a survey related to the Online consumer behavior literature, then perform cluster analysis and segmentation Online consumer spending behavior. A sampel of 328 respondents collected by mail survey. In order to perform segmentation according to usage patterns internet can use descriptive method non-overlapping post-hoc, this method is used to identify segments in accordance with the pattern of internet usage. Results showed that the consumer market Online consists of three segments that are generally commonly used are: segmentation pattern Basic Communication, in this segment of consumers who use the Internet primarily to communicate via e-mail, then the segment of Commerce or shopping in this segment of consumers who using the internet to surf and look around online stores and third segments of social relationships and pleasure, in this segment of consumers who exploit the internet using interactive features to interact and entertainment by way of chatting, blogging, video streaming, gaming, stalking and downloading. Limitations include data collected through a survey whose information comes from the Internet, so it takes the views of other parties who are not users but observers Online businesses that have other opinions on this segmentation. Later on this segmentation actually still can be broken down into several sub-segments, as continued research efforts.Keyword: Internet use pattern, segment, online sonsumer
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M, Kamaraj,, Vethirajan, C, and Vinayagamoorthy, G. "Consumer Perception towards Online Shopping of Household Products." Restaurant Business 118, no. 7 (July 11, 2019): 143–46. http://dx.doi.org/10.26643/rb.v118i7.8009.
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The present study is undertaken to explore perception among the consumers towards shopping of household products through online. In this regard a sample size of 680 consumers was selected through main survey. This descriptive study is adopted non-probability snowball sampling technique for obtaining consumer perception. The variables of the study are: Perceived Risks and Perceived benefits (independent variables), Consumer Attitude is mediating variable and online shopping behavior is the outcome variable. Structural Equation Modeling (SEM) is used to test the conceptual framework, the result shows good fit to the sample data. Hence, finding of the study shows that majority of the respondents perceive insecured transactions in online payments and risks on the online stores. Hence, the online stores would try to gain the faith on the consumers in online transactions.