A retentive consumer behavior assessment model of the online purchase decision-making process

Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce

This comprehensive meta-analysis investigates the significant factors influencing consumer decision-making in e-commerce. Predominantly focusing on the parameters of trust, perceived risk, perceived security, and electronic word-of-mouth (e-WOM), this study provides insightful revelations on their integral roles in shaping e-commerce purchasing decisions. The findings demonstrate that trust, perceived risk, perceived security, and e-WOM significantly influence consumers' e-commerce purchasing decisions. Perceived Risk plays a substantial moderating role in the relationship between Trust and e-commerce purchasing decisions, amplifying the importance of managing and minimizing risk in online transactions to cultivate consumer trust. Contrastingly, the roles of Perceived Security and e-WOM do not hold the same moderating effect on the trust-purchasing decision nexus, underscoring the direct yet unmoderated influence these factors have on e-commerce purchasing behaviors. Furthermore, The research reveals no significant size effect difference among respondents from high-income and low-income countries or between general internet users and online shoppers concerning the impact of trust on e-commerce purchasing decisions. This intriguing finding suggests the universal importance of trust in the digital purchasing landscape, irrespective of socio-economic status or the degree of e-commerce engagement. This study thus sheds new light on the complexities of e-commerce decision-making processes. It offers valuable insights for businesses aiming to enhance consumer trust and engagement in the expanding digital marketplace.

Analyzing consumer behaviour towards food and nutrition labeling: A comprehensive review

Studying consumer behaviour towards food and nutrition labelling (F&NL) is increasingly becoming important across the world. Bibliometric analysis is a way to identify influential research, track trends, and understand methodologies in any field. In this paper, we used bibliometric analysis and a review of theories too to critically evaluate theories and concepts used in studying consumer behaviour towards F&NL. Using the Scopus database, we obtained 1017 articles, which were further filtered to perform various analyses like Co-occurrence and co-authorship network analysis. We found limited East and Southeast Asia-based research. Personal beliefs, attitudes, and past experiences were identified as influencers of consumer behaviour regarding food labelling. Trending topics were food waste, purchase intention, and sustainability labels.

7 topics that business ecosystems navigate: Assessment of scientific activity and future research agenda

Business Ecosystems are made up of a group of companies that cooperate with each other to innovate in a product. This research had the purpose of assessing the scientific activity and thus be able to extract the topics explored by the authors involved, geographical gaps of scientific production and research topics for future studies. In the methodological design, the statistical software VOSviewer and RStudio were used, with which the documentation obtained from Scopus was analyzed and reflected in tables and figures. The results yielded: a) the 7 topics most worked on by researchers on the variable in question, b) a notable geographical scientific gap in Africa, and c) 5 topics of research that can be explored for future scientific papers. In short, this research was performed with high citation documents, therefore, authors are recommended to carry out research in collaboration with authors located in the geographical scientific gap or vice versa but based on the 5 topics of future research, in the niche topics and a declining topic.

How Attitude and Para-Social Interaction Influence Purchase Intentions of Mukbang Users: A Mixed-Method Study

Mukbang is widely recognized as a new type of food video on user-generated content (UGC) platforms. The purpose of this study was to identify motivators to watch mukbangs and to examine the relationship between these motivators and the intention to watch mukbangs via attitudes toward mukbangs and para-social relationships. In addition, this study examined how the intention to watch mukbangs affected purchase intention. Interviews were conducted to determine the motivation factors for watching mukbangs by collecting data from mukbang viewers. The results of the interviews suggested that vicarious satisfaction, enjoyment, information, exposure, and attractiveness were motivators for watching mukbangs. Using a survey, this study collected data from 399 participants who watched mukbangs to test relationships. Using SmartPLS, structural equation modeling (SEM) was conducted. The outcomes of the SEM indicated that vicarious satisfaction, enjoyment, and information influenced the intention to watch mukbangs via attitudes toward mukbangs. The results also indicated that exposure and attractiveness had an impact on the intention to watch mukbangs via para-social relationships. Furthermore, the intention to watch mukbangs influenced the intention to purchase food items portrayed in the mukbang content. This study contributes to the literature by empirically confirming the effect of watching mukbang on purchase intention.

Factors affecting adoption and use of M-commerce services among the customers in Saudi Arabia

M-commerce has the potential to change consumers' shopping habits and establish itself as a significant commerce channel. People rely on digital devices more than ever before, and the growth in M-commerce predicts that mobile will become the preferred channel for online shopping soon. This study is aimed at examining the effect of personal factors, economic factors, ease of doing factors, and safety-related factors due to Covid-19 on the adoption and use of M-commerce services among customers in Saudi Arabia. The study is empirical and is based on survey responses from 340, M-commerce customers in Saudi Arabia. The questionnaire method was used to collect the data. ANOVA and bivariate regression analysis were used to evaluate the collected data. The results showed that four independent variables, namely, personal, economic, ease of doing, and safety factors during the Covid-19 pandemic, are significant predictors of the dependent variable, adoption and use of M-commerce services by the customers. These factors influence customers' purchasing decisions when they use M-commerce services. The study also concluded that the frequency of using M-commerce has increased during the Covid-19 pandemic because of health, safety, and social distancing guidelines. One of the main limitation of the study is the few selective constructs for the research. The finding of the study will be beneficial to the customers to understand the significance of M-commerce services, especially during pandemic situations.

Evaluating the influence of service quality, hedonic, and utilitarian value on shopper's behavioral intentions in urban shopping malls during the COVID-19 pandemic

Shopping malls are subjected to a lot of changes during the COVID-19 pandemic, especially in the Philippines. The objective of the study was to evaluate the influence of service quality, hedonic, and utilitarian value of malls on shopping mall goers' behavioral intentions during the COVID-19 pandemic. SERVQUAL five dimensions were utilized to represent the service quality aspect, while utilitarian and hedonic values are used to embody the shopping mall values among Filipino citizens. Additionally, we included convenience and social experience as part of our model, to which relationships were assessed toward the utilitarian and hedonic shopping mall values, respectively. An online survey was distributed and collected 519 valid responses among Filipino shopping mall goers. Using Structural Equation Modeling (SEM), results showed that for service quality aspect, tangibles, empathy, and assurance had significant effects on shopper's shopping mall satisfaction during the COVID-19 pandemic. On the other hand, both shopping mall values present positive effects on shopper's satisfaction on which utilitarian value gave the strongest influence in the overall model, followed by the hedonic value. Convenience and social experience also showed positive effects on utilitarian and hedonic values, respectively. The utilized extended framework from SERVQUAL dimensions and hedonic and utilitarian values to measure satisfaction and behavioral intentions was seen to be applicable to measure human behavior and lifestyle studies. Overall, the satisfaction from both service quality and shopping mall values aspect strongly influences shoppers' behavioral intention in going to the mall.

Factors Affecting Adoption of Online Community Water User Participation

Social networks are the most extensively utilized online virtual communities. It is a technology platform that is currently used to interact with other members of any virtual online community, including preserving social ties. This study is aimed at determining the elements that influence the participation of water users in the online community. It suggests combining the commitment-trust theory with the technology acceptance model (TAM) to include stakeholders, social networks, and transparency about content and user perceptions to better understand the elements that influence the online community and user participation. A questionnaire with a five-point Likert scale was issued to 1,000 community water consumers, and the researcher received 627 valid responses. Data were collected using a basic random sampling technique with a sampling ratio of 14 villages. Subsequently, descriptive statistics characterize the data (frequency distributions, percentages, averages, medians, and standard deviations). Furthermore, PLS-SEM was utilized to study the interactions between variables and launch the conceptual model via partial least square (PLS) path modeling. This study reveals that community water user engagement is founded on a commitment-trust paradigm that acts as an effective role model for community participation behavior. The results and consequences are discussed at length in the discussion section, which offers valuable recommendations. This article discusses overcoming ethical divisions in community water management through increased communication between customers and community water management teams using social media networks. Additionally, several elements contribute to the monitoring and supervision advancement, boosting the openness of community water management.

A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms

The holistic perspective model is a concept of three stages that considers the whole of online consumer behavior. It is based on dynamic aspects and overview measurement to demonstrate the preliminary of three stages, including “Pre-purchase”, “Purchase” and “Post-purchase”. There is a shared purpose for all the positive, negative, and hesitation factors that inhibit or encourage online shopping decisions. This model can capture the dynamic and fast-changing elements in online shopping platforms. Most online buying-selling platforms are gaining popularity and growing rapidly. Thus, they should maintain good levels of online customers’ satisfaction. This research presents a balanced investigation model of online consumer purchasing behaviors under uncertainty through the integration of Push-Pull Mooring (PPM) theory and the three stages of online consumer behaviors. In this study, questionnaires were collected from 525 online applications from experienced users of electronic business platforms. The outcome reveals that PPM affects three stages of online consumer behaviors. This means that PPM factors influence online customers during and after online shopping. This research can be used to develop attractive online shopping applications for prospective customers while retaining existing customers, which is the challenge faced by online shopping platforms.

Motives towards e-Shopping Adoption among Pakistani Consumers: An Application of the Technology Acceptance Model and Theory of Reasoned Action

Digital technologies play a vital role in daily human life and significantly influence human attitudes toward the adoption of new and attractive lifestyles. The internet has been widely accepted in every modern society, and the act of purchasing products or services over the internet, known as online/internet shopping, has revolutionized business. This study was designed using the technology acceptance model and theory of reasoned action. This study identified important factors such as perceived awareness of security, perceived usefulness, personal innovativeness, and perceived ease of use in purchasing, together with the effects of these factors on online purchasing intentions and the mediating role of consumer attitudes toward online purchasing. The results show that the identified factors are positively and significantly related to consumer intentions and attitudes toward online purchasing. This study has the potential to guide online retailers and managers in expanding online purchasing platforms and in increasing their responsiveness to the need to restructure business models according to new technological developments.