Search results

As social commerce migrates to the mobile platform, mobile social commerce (ms–commerce), an emerging way of conducting social commerce in the mobile environment, is gaining popularity among mobile users. Although impulse buying in social commerce has been the focus of scholars in recent years, individuals' impulse-buying behavior in ms–commerce has not been highlighted and therefore is worth investigating. This study addressed that gap by differentiating and monitoring the impacts that three key targets of social identification in ms–commerce exerted on impulse buying. Furthermore, previous studies had highlighted the importance of culture in impulse buying in other contexts, so the authors examined how the effects of the key identification targets differed across cultures, as a result of cultural diversity among the ms–commerce users. Finally, the authors drew upon the lens of information technology (IT) affordances to explore how different combinations of ms–commerce affordances influenced each target of identification.

This research first applied a qualitative methodology by using semi-structured interviews with 27 ms–commerce users to extract the relevant subdimensions of IT affordances in ms–commerce. Then, the authors tested their hypotheses with survey data collected from the United States and China.

The results clearly illustrate that three key targets of social identification had varying impacts on impulse buying in different cultural dimensions. In addition, nearly all of the proposed IT affordances in ms–commerce aided users in building multiple identifications, to various degrees.

This study extends social commerce research by examining the important role that social identification plays in impulse buying in the mobile environment. Moreover, unlike previous studies that mainly had focused on ordinary buying in social commerce across cultures, this study investigated the relative importance of the targets of social identification on impulse buying in different espoused cultural dimensions. Importantly, the authors used a technology affordance lens to also uncover the context-specific stimulators of separate identification targets, thus going beyond the existing body of knowledge that focused on general beliefs.

Research on social media advertising reactance (SMAR) is in the early stages. This paper intends to present a full picture of SMAR studies, introduce a comprehensive theoretical model (the social media advertising reactance model, SMARM) and provide insights into research and practice.

This review adopts the concept-driven systematic review approach, identifying 92 articles from four primary academic databases – EBSCO, Elsevier, Web of Science and Google Scholar.

First, this review offers overviews of five topics: publication trends, the journals publishing research, research methodology, targeted platform and the main theories. Second, based on the framework of psychological reactance, this study proposes the SMARM, identifying and elaborating on four components of the nomological relationship to SMAR: related concepts, antecedents, moderators and consequences.

This research has implications for advertisers, social media platform operators and policymakers by providing a whole picture of SMAR. Moreover, the SMARM could guide the stakeholders to adopt a user-friendly advertising design for the sustainable development of social media advertising (SMA).

By presenting an up-to-date review of SMAR-related research, this paper contributes to the literature of social media, advertising and marketing. Through a comparison with traditional advertising, this paper makes the characteristics of SMA clear. Meanwhile, the SMARM is developed to systematically elaborate on all related elements of SMAR and explain their underlying causal relationships. Future research directions are proposed.

The purpose of this paper is to explore the factors affecting users’ continuous microblog usage intention. In recent years, the number of microblog users has gradually declined. This research can reveal microblog users’ needs and provide the improvement direction of microblog services.

By integrating Wixom and Todd’s theoretical framework, the Uses and Gratifications Theory and the DeLone and McLean Information System Success Model, a conceptual model is proposed. In this model, gratification is defined as a kind of behavioral attitude, and satisfaction is viewed as an object-based attitude. The survey data were collected online and analyzed using the partial least squares method.

The results suggest that users’ continuance intention (behavioral intention) is jointly determined by users’ gratification (behavioral-based attitude) and their habitual microblog usage behavior. Likewise, gratification is positively affected by satisfaction (object-based attitude) which is a joint function of system quality and information quality (object-based beliefs).

In this research, Wixom and Todd’s principle is applied as the basic theoretical framework; gratification is viewed as a behavior attitude and user satisfaction is identified as an object-based attitude. This research model is a new lens for continuance usage research.

Generating an in-depth understanding of information needs and seeking behaviour is important both for restructuring existing agricultural information systems (ISs) and for creating new ISs. Many information seeking models have been developed over the years, most are narrowly focused on a specific role or discipline. However, no such specific model has been developed in reference to agriculture or an allied discipline. Thus, the purpose of this paper is to develop a model to explore the information seeking behaviour (ISB) of farmers.

The model proposed in this paper is based on Wilson’s model. The theoretical insights and empirical evidences comprehended at the study were embedded into Wilson’s model to develop a model that explores the ISB of farmers. The proposed model was quantitatively evaluated using empirical data gathered through a survey of 289 farmers. Furthermore, the model was qualitatively evaluated by subject experts against criteria of simplicity, comprehensiveness, exactness, generality and clarity.

The key finding of this study is the model developed to explore the ISB of farmers. The adapted model provides theoretical and empirical bases for exploring farmers’ ISBs. Thus, the model will be useful in developing valuable design insights to apply to user-centred agricultural ISs.

The originality of this study relates to its demonstration of how existing models can be reconsidered and adapted based on related literature and then tested and presented as adapted models. The proposed model will be useful to promote informational studies in agriculture.

This research takes the transfer behavior of users from Tencent QQ to WeChat as an example to discuss the wider transfer behavior of social media users on the Internet.

This paper collects data through a combination of offline interviews and online questionnaire surveys, and utilizes data analysis tools to construct structural equation modeling (SEM). Using Statistical Product and Service Solutions (SPSS) Statistics 22.0 and Analysis of Moment Structures (AMOS) 22.0 software with SEM, this study was carried out to provide reasonable statistical support for relevant proposed hypotheses based on 368 effective samples acquired through the questionnaire.

The findings of this study show that subjective norm, transfer experience, social communication, and knowledge acquisition all have significant associations with transfer intention and switching behavior. To be specific, transfer intention exerts a positive association on switching behavior; function setting, privacy protection and personal innovation have a favorable association with transfer intention; transfer cost has a significantly negative relationship with transfer intention and switching behavior; function setting has no important relationship on switching behavior.

The research results provide a reference for improving the viscosity and loyalty of social media users in the new era and resolving the problem of user churn.

The proposed DHHFLOWLAD is used to design a recommendation system, which aims to provide the most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment.

Based on the ordered weighted distance measure and logarithmic aggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmic averaging distance (DHHFLOWLAD) measure in this paper.

A case study is presented to illustrate the practicability and efficiency of the proposed approach. The results show that the recommendation system can prioritize TCM treatment plans effectively. Moreover, it can cope with pattern recognition problems efficiently under uncertain information environments.

An expert system is proposed to combat COVID-19 that is an emerging infectious disease causing disruptions globally. Traditional Chinese medicine (TCM) has been proved to relieve symptoms, improve the cure rate, and reduce the death rate in clinical cases of COVID-19.