The worldwide increased consumption of goods and services squeezes natural resources, thus causing severe damage to the environment. In the backdrop of the growing affirmative reaction of people, the ...inclination to buy green products is on the rise. Therefore, we explore the extant literature to identify the factors established for their role in determining the purchase of products having a less damaging impact on the environment. A systematic literature review was conducted following the Theory‐Context‐Characteristics‐Methodology framework covering 151 empirical studies on green purchase intention and green purchase behavior, published between years 2000 and 2021. This paper identifies factors influencing consumers' green purchase intention and green purchase behavior and provides strategic insights to marketers to create better marketing opportunities for green products.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
•Comprehensive insights into the five steps of the m-shopping journey.•Consider both drivers of initial adoption and m-shopping continuance intention.•Focus on both utilitarian and pleasure-seeking ...aspects to stimulate m-shopping.•Invest in hedonic value and quality to improve satisfaction and m-shopping continuance.•Enhance the shopping experience through suitable and pleasant mobile website and app.
The penetration of mobile devices has reshaped consumers’ shopping journeys, drawing the attention of both scholars and practitioners. Over the last two decades, a rich strand of empirical studies across disciplines has been conducted on the factors underlying mobile shopping behavior. We provide and test a comprehensive framework for both the key drivers of consumers’ initial adoption and the continuance intention to use mobile devices for purchasing. To achieve this goal, we conduct a meta-analysis, in which we integrate the findings from the literature and apply a structural equation modeling approach. Our work builds on the existing theories (Technology Acceptance Model, Theory of Planned Behavior, and Unified Theory of Acceptance and Use of Technology) and offers an extensive understanding of the variables that shape mobile shopping behavior. Based on 207 articles, with 228 studies, 4,354 effect sizes, a total sample size of 68,944 shoppers, our findings show that mobile shopping is influenced by variables that reflect the evolution of technological innovations and the consequent improvement of the functionality and convenience of mobile devices (previous digital experience and ubiquity). Managerially, based on these findings, we provide a future research agenda and the key implications for firms to develop for a successful marketing strategy throughout the mobile customer journey. Companies should focus on both utilitarian and hedonic variables to stimulate the intention to use the mobile for the first time. In addition, to increase continuance intention to use mobile for shopping, they improve customer satisfaction, through enjoyment and the three dimensions of quality of the mobile channel.
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CEKLJ, GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Purpose: This article aims to examine the effect of green advertising and environmental ethics perceptions on consumer purchasing behavior. Methodology: In the method of the research, correlation and ...regression analyzes were performed with the data of 342 participants using the SPSS 26 program. Research Limitation/implication: Due to the Covid-19 virus, 342 participants were surveyed in full. Not reaching all Malatya people is a limitation. Findings: Green advertising affects consumer purchasing behavior positively and significantly, the definition of environmental ethics affects consumer purchasing behavior positively and significantly, measures to be taken for environmental ethics affect consumer purchasing behavior positively and significantly, and green advertising affects all sub-dimensions of environmental ethics perceptions. It has been determined that the dimensions of the study are positively and significantly affected. Contribution to knowledge: It is recommended that institutions and organizations that want to increase the environmental ethics perception level of consumers and increase their consumer purchasing behavior should give the necessary importance to green advertising.
Via the empirical evidences from Airbnb from eight major cities in U.S., we examine the role of information disclosure in influencing consumers' purchase behavior on this sharing economy platform. We ...analyze information disclosure from four aspects – namely, what information (i.e., information content), from where (i.e., information source), in what format (information presentation format), and how much (the quantity of information). We find all three information sources – providers, platform, and peer consumers – influence consumer purchase behavior. Regarding information posted by providers, we find a concave relationship between room information (i.e. the number of photos and the length of description) and consumer purchase behavior. However, no significant relationship between providers' self-description (texts and photos) and consumer purchase behavior is found. Regarding information posted by platform, both the recommendation from platform and provider verification information positively influence consumer purchase behavior. For provider-consumer interactions information, the providers' high response rate and fast response speed enhance consumer purchase behavior. However, providing connections to providers' social media profiles negatively influences consumers' purchasing behavior. Regarding the information from peer consumers, we find although consumers' overall ratings positively affect consumer purchase behavior, such influence diminishes when the ratings exceed certain thresholds. Our study provides implications for platform owners to optimize information presentation layout directly through the platform design or indirectly through the guidance to the providers' information disclosure to facilitate consumers’ information search and acquisition to reduce the perceived risk, enhance trust on providers and the platform, and thus enhance their purchase intention and behavior.
•We collected 8804 Airbnb room listings from eight U.S. major cities to analyze.•We analyzed information disclosure through source, content, format, and quantity.•Information from providers, platform, and consumers affects purchase behavior.•Extra information may exhibit diminishing effect on customer purchase behavior.•We discuss implications for platform to optimize information presentation layout.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Objectives: The objective of this study is to examine the role of advertising as a management strategy in contemporary business environments. It aims to explore how advertising interacts with ...customers and influences both internal and external organizational processes and activities. Additionally, the study seeks to address misconceptions surrounding advertising's purpose and societal impact, particularly regarding its perceived manipulation of consumers for monetary gain. Methods: This study employs a qualitative approach to investigate the role of advertising in modern business practices. It involves a comprehensive review of literature and existing research to analyze the relationship between advertising, consumer behavior, and organizational management strategies. Results: The analysis reveals that advertising serves as a crucial management tool for businesses, facilitating interaction with customers and driving organizational processes. Contrary to misconceptions, advertising is not solely aimed at manipulating consumers for profit but also serves to fulfill customer needs for information about brands, services, and products. Additionally, the study finds that factors such as age, income, and satisfaction with promoted goods after purchase do not significantly influence the impact of advertisements on consumer purchasing decisions. Conclusion: In conclusion, advertising plays a multifaceted role in contemporary business environments, serving as both a communication tool and a management strategy. While it is often misunderstood and criticized for its perceived manipulative nature, advertising remains a fundamental aspect of modern marketing practices. By understanding the complexities of advertising's influence on consumer behavior, businesses can develop more effective marketing strategies and better serve their customers' needs.
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CEKLJ, NUK, ODKLJ, UL, UM, UPUK
This article aims to explore the key factors on e-commerce adoption from elements of social psychology, such as attitude, subjective norms, perceived behavioral control, ease of use and perceived ...usefulness, introducing the study of non-traditional elements like buying impulse, compatibility, and self-efficacy in online stores, contrasting relationships in a cross-cultural environment. The proposed model is tested from quantitative research with a sample of 584 online consumers in Colombia and Spain. The following statistical analyses were conducted: CFA, structural equations, measurement instrument invariance, and multi-group analysis with EQS 6.3 software. The study reveals that self-efficacy in online stores is a key factor in adopting electronic commerce above the cultures studied. Also, there is significant evidence that proves the moderating effect of national culture on several relationships of the model proposed. Results highlight the importance of national culture to understand impulsive buying behavior. The article presents several considerations toward the main elements to generate online purchase intention among consumers in an emerging country and finds substantial differences with consumers in a developed country. Practical implications are made for companies to adopt online channels and expand internationally.
Online purchase intention; Purchase behavior; Cross-cultural study; Colombia; Spain; Technology management; Technology adoption; Marketing; Consumer attitude; Decision analysis; Business
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
By its nature, the tourism market is characterized by uncertainty and unfamiliarity, and so the success of market transactions depends on an effective market order. However, it is unclear how the ...latter affects tourists' purchase behavior, and whether tourists with different degrees of travel experience behave heterogeneously in this regard. This study innovatively employs quantitative methods to analyze online reviews and a post-trip survey, and shows that: 1) effective market order (comprising constructive rules and spontaneous rules) prompts tourists' purchase behavior, and constructive rules have a stronger and more fluctuate effect than spontaneous rules; 2) trust transfer from ex-post personalized trust to macro social trust plays a chain-mediating role; 3) this transfer process is moderated by travel experience.
•Macro tourism market order positively influences purchase behavior.•Constructive rules attach stronger effect than spontaneous rules.•Trust transfer from personalized trust to social trust plays a chain-mediating role.•The transfer process is moderated by travel experience.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
A thorough understanding of online customer's purchase behavior will directly boost e-commerce business performance. Existing studies have overtly focused on purchase intention and used sales rank as ...a natural proxy, which however has limited business application. Additionally, intention to purchase does not necessarily convert to actual retail purchases. We aim to further our understanding of online customer's purchase behavior for an e-commerce platform by predicting the same using deep learning techniques, on a large multidimensional data sample of more than 50,000 unique web sessions. This study used two distinct sets of variables, i.e., platform engagement and customer characteristics, as key predictors of online purchases by retail customers. We further compared the predictive capability of our deep learning method with other widely used machine learning techniques for prediction, including Decision Tree, Random Forest, Support Vector Machines, and Artificial Neural Networks. We found that the deep learning technique outperformed the machine learning techniques when applied to the same dataset. These analyses will help platform designers plan for more platform engagements while simultaneously expanding the academic understanding of purchase prediction for online e-commerce platforms.
•We analyze purchase data of customers from an e-commerce site.•We use deep neural networks to predict purchases by customers.•Deep neural networks predict more accurately than other machine learning techniques.•We identify the platform and customer characteristics that act as significant predictors.
▪Neha Chaudhuri is Assistant Professor in Information Management at Toulouse Business School, France. Her PhD dissertation from Indian Institute of Management Calcutta explores multi-modal factors responsible for online misinformation. She has completed her Bachelor of Technology in Computer Science and Engineering and Masters of Technology in Information Technology from Indian Institute of Engineering Science and Technology, Shibpur. Her research interests are in deep learning, AI for business, and online misinformation management. Her research has been published in journals like Decision Support Systems along with proceedings of the IEEE as well as those in conferences like HICSSWeB (pre-ICIS).
▪Gaurav Gupta is Assistant Professor in the Strategy and Entrepreneurship department at NEOMA Business School, France. He holds a PhD from Indian Institute of Management Calcutta, India on the role of operating environment on the business model transformation of technology startups using a multi-country sample of case studies. His research interests include technology entrepreneurship, strategic information systems, and business model transformation. His work has been featured in journals like Information & Management, Technological Forecasting & Social Change, Annals of Operations Research, Australasian Journal of Information Systems and in the proceedings of conferences like ICIS, ECIS, HICSS, etc. He has won various awards for case writing including the prestigious EFMD Case Writing Award 2017 and the CEEMAN-Emerald Case Writing Award.
▪Vamsi Vallurupalli holds a PhD. in Management Information Systems from Indian Institute of Management Calcutta, India. In the past, he has worked on data warehousing, business intelligence and business analytics projects of Fortune 500 firms. His research interests are in big data and business analytics, e-commerce and social media. His research has been featured in journals like Decision Support Systems, Electronic Markets and Communications of the Association for Information Systems and proceedings of conferences like Australasian Conference on Information Systems and Workshop on e-Business.
▪Indranil Bose is Professor of Management Information Systems at the Indian Institute of Management, Calcutta. He acts as Coordinator of IIMC Case Research Centre. He holds a BTech from the Indian Institute of Technology, MS from the University of Iowa, and MS and PhD from Purdue University. His research interests are in business analytics, digital transformation, information security, and management of innovation. His publications have appeared in MIS Quarterly, Journal of the MIS, Communications of the ACM, Communications of the AIS, Computers and Operations Research, Decision Support Systems, Electronic Markets, Ergonomics, European Journal of Operational Research, Information & Management, International Journal of Production Economics, Journal of Organizational Computing and Electronic Commerce, Journal of the American Society for Information Science and Technology, Operations Research Letters, Technological Forecasting and Social Change, etc. He serves as Senior Editor of Decision Support Systems and Pacific Asia Journal of the AIS, and as Associate Editor of Communications of the AIS, Information & Management, and Journal of the AIS.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Introduction In the era of the Internet, online digital traces have become a new way to study the online attention of scenic spots and tourists’ purchase behavior. The public’s information search on ...major search platforms is a series of manifestations of potential tourists’ attention and interest in scenic spots, but there are few studies on how attention, interest and information search affect potential tourists to generate real purchase behavior. Method This paper selects four dimensions of short video platform, travel website, search engine and social media to comprehensively measure the online attention of high-quality scenic spots in Yunnan Province, and then establishes a gray association analytic hierarchy process based on the relevant variables of the AISAS model to empirically analyze the primary and secondary factors affecting tourists’ purchase behavior. Results (1) From the perspective of the online attention of scenic spots on different platforms, the intensity of the public’s scenic spots online attention on the four types of media platforms is in the order of travel websites, search engines, short videos and social media (2) From the perspective of spatial distribution characteristics, the online attention of high-quality scenic spots in Yunnan Province is unevenly distributed, that is, there is a big difference between the attention of higher star scenic spots and their star rating and popularity, while the attention of low-star scenic spots is not much different from their star rating and popularity (3) From the perspective of spatial agglomeration characteristics, the comprehensive online attention of high-quality scenic spots in Yunnan Province presents the spatial agglomeration characteristics of “the multi-core linkage of high-density in the east and north, and sub-high-density in the south” (4) The factors influencing the purchase behavior of potential tourists are sharing experience, attracting attention, generating interest and searching information. Discussion By exploring the formation mechanism of high-quality scenic spots online attention in Yunnan Province and the mechanism of its spatial differentiation, this study not only enriches the logical chain of “tourism information source → potential tourists → demand driven → tourism information search → travel preference → destination selection → purchase decision → travel experience → real tourists → feelings after traveling → focus on feedback → tourism information source,” but also broadens the application scenarios and application boundaries of travel preference theory and AISAS behavior model to a certain extent.
Consumers' initial impressions of a seller's facial appearance play a crucial role in influencing purchase behavior. However, the underlying mechanisms by which a seller's facial appearance ...influences consumer purchase behavior remain unexplored. This study adopted a multimethod approach to explore these questions. First, drawing on the profile pictures of 1240 sellers from the Airbnb peer-to-peer accommodation platform, we investigated the impact of two principal facial attributes (facial attractiveness and facial expressions) on the formation of consumers' initial impressions and their subsequent influence on purchase decisions. Second, we explored the underlying mechanisms through two online experiments. Our findings indicate a U-shaped relationship between sellers' facial attractiveness and consumer purchase behavior. Additionally, we found that facial expressions such as happy, surprise, and sad, influence consumer purchase behavior positively in comparison to neutral expressions. Furthermore, our study demonstrates that the purchase price acts as a moderator of the U-shaped effect of facial attractiveness on consumer purchase behavior, while text sentiment intensity serves as a negative moderator of the impact of facial expressions of consumer purchase behavior. Finally, the study elucidates the influence mechanism of facial attractiveness and facial expressions on consumers' purchasing decisions. These insights provide novel perspectives on the role of sellers' facial attributes and offer valuable references for devising effective marketing strategies and optimizing platform operational services related to the design of seller facial imagery.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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