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This paper aims to investigate the effect of artificial intelligence (AI)-enabled checkouts on consumers’ purchase intent and evaluations of the retailing atmosphere. It also offers novel findings pertaining to the mediating role of arousal and moderation by innovativeness importance on consumers’ responses toward AI-enabled checkouts.

Three pilot studies, two field studies and one online experiment featuring 1,567 respondents were conducted by manipulating checkout methods.

AI-enabled checkouts lead to a higher level of arousal, which, in turn, yields more favorable store atmosphere evaluations and higher purchase intent. Furthermore, the positive effect of AI-enabled checkouts is moderated by consumers’ innovativeness importance.

This research contributes to the emerging body of AI research and demonstrates a novel perspective by illuminating that under certain circumstances, AI-enabled checkouts lead to more positive outcomes relating to store atmosphere evaluations and purchase intent, as well as the unintended effect of heightened arousal.

This study shows how marketers and practitioners can promote consumers’ evaluations and patronage likelihood effectively by harnessing AI-enabled checkouts for those who consider innovativeness as important.

This research documents the novel findings of how and when AI-enabled checkouts garner more favorable consumer responses.

The purpose of this paper is to examine how the sudden emergence of official government voices using social media as their first platform for communication creates new opportunities to understand how those voices are influenced and by whom.

The article examines some recent examples of social media use by government entities from around the world, particularly the Middle East.

This examination of social media use by government entities suggests that this usage provides significant clues about what government leaders are paying attention to. The social media outputs from these sources creates for the first time a unique signature of what these leaders react to and also how the various publics to whom they speak react to their utterances.

By virtue of the small sample size of the examples reviewed, the findings are of necessity subjective opinion.

If in fact, this social media “exhaust” from governmental sources continue to grow, companies and organizations for whom the evolution of government opinion is important will be able to gather fresher and powerful insights into public policy and views.

Cyberspace continues to offer an ever expanding set of data tracking both the opinions and behaviors of various community stakeholders. To the best of authors’ knowledge, the viewpoint presented in this article is among the first to examine the ramifications of the shift to social media by government leaders from around the world.

The purpose of this paper is to integrate the Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Palka et al.'s model to predict young Chinese consumers' mobile viral attitudes, intents and behavior.

A paper survey was administered to 835 college students in Beijing, Shanghai, Kunming, and Liuzhou in summer and fall, 2010. The data were subject to statistic analyses including Pearson correlation, structural equation modeling, and backward regression with SPSS and AMOS.

The SEM model testing results confirmed the chain of young Chinese consumers' viral attitudes to intents to actual behavior. Subjective norm, perceived cost and pleasure were significant predictors of their viral attitudes. Their viral attitudes, perceived utility and subjective norm predicted their intent to pass along entertaining electronic messages. Their intent to forward useful electronic messages was determined by their viral attitudes, perceived utility and market mavenism. Their viral attitudes, intents and market mavenism predicted their mobile viral behavior.

It pays to foster Chinese consumers' favorable attitudes toward mobile viral marketing. It is advisable to know both target consumers and their associates very well. It is recommended to convince Chinese consumers that their friends and relatives can benefit greatly from viral content forwarding. Mobile messages with entertaining, useful, relevant and self‐involved values can go viral more easily.

The paper is probably the first study the integration of the TPB, TAM and Palka et al.'s model to predict Chinese consumers' mobile viral attitudes, intents and behavior.

This study aims to propose a model for predicting consumers’ esports videogame engagement on their ensuing consumption behaviors, which remains nebulous to date.

After approaching esports consumers in different gaming zones in Pakistan, this paper collected data from 364 videogame-based esports consumers. This paper deployed SmartPLS 3.2.8 software to perform the partial least squares-structural equation modeling-based analyzes.

The structural model results show that consumers’ affective and behavioral esports videogame engagement positively affects their consumption behavior, including heightened community engagement, purchase intent, coproduction, word-of-mouth and new player recruitment. However, while consumers’ cognitive esports engagement was found to positively impact community engagement, new player recruitment and coproduction, it failed to predict consumers’ esports-related purchase intent or word-of-mouth behaviors.

The findings reveal that a strategic focus on consumers’ esports game engagement will enable practitioners to nurture desirable consumer behaviors, including enhanced purchase intent, coproduction, word-of-mouth and new player recruitment behaviors, thus warranting consumer engagement’s strategic value as a key esports gaming metric.

Empirical research into the role of consumers’ esports videogame engagement on their ensuing consumption behaviors remains scant to date. Based on this gap, this study offers a timely contribution by exploring and validating a model that gauges the effect of consumers’ cognitive, emotional and behavioral esports videogame engagement on their community engagement, purchase intention, coproduction, word-of-mouth and new player recruitment. It, thus, offers important insight into the rapidly advancing field of digital esports games.

This study aims to investigate the consumer behavior toward telemedicine services in India during the COVID-19 pandemic onset. With lockdown restrictions and safety concerns in visiting brick-and-mortar clinics or hospitals during the pandemic, Telemedicine had emerged as a potent alternative for seeking redressal to health issues. Based on theory and focus interviews with the telemedicine users, the researchers proposed a model to understand the intent and actual usage of telemedicine in India.

The cross-sectional study undertaken used a questionnaire designed on a seven-point Likert scale and administered to respondents with the objective of identifying the determinants of intent and actual usage of telemedicine services. Simple random sampling was used to collect primary data. The data was cleaned and finally a sample of 405 responses complete in all respects was considered for analysis. The questionnaire comprised of 34 items and following the recommendation of Hair et al. (2016), which says the minimum sample size in structural equation modeling should be ten times the number of indicator variables, a sample size of 405 was deemed adequate.

The research paper finds that performance expectancy, attitude, credibility and self-efficacy positively impact the intention of consumers to use telemedicine services. As the effort expectancy or risk perception toward telemedicine increases the intent and actual usage of telemedicine decreases. The intention to use telemedicine emerged as a strong predictor of the actual usage of telemedicine. Intent to use telemedicine was explained 81.4% by its predictors of performance expectancy, effort expectancy, attitude, risk, credibility and self-efficacy, and actual usage was explained 79.9% by its predictors. This study also reports that telemedicine was found to be popular among chronic as well as episodic patients though the preference was skewed in favor of the episodic patients. One of the advantages of telemedicine is its availability round the clock, and the study found that 8 a. m. to 12 noon time slot as the most preferred slot for seeking telemedicine services.

Chang (2004) opined that telemedicine can fulfill the needs of all stakeholders: citizens, health-care consumers, medical doctors and health-care professionals, policymakers, and so on. Considering the promise telemedicine holds, this realm must be studied and leveraged to the full potential. The study found that patients were using telemedicine even for their day-to-day aliments. This indicates a growing popularity of telemedicine and as such an opportunity for telemedicine companies to leverage it. In India, pharmaceutical companies cannot give commercial advertisements for medicines, and the same can only be sold through a registered medical practitioner’s prescription. As such there is total dependency on the medical practitioner for the sale of medicines. Telemedicine companies offer services of home delivering medicines clubbed with medical consultation thus giving them forward integration in their business models. Using telemedicine the patients had control over the timings of the services offered, and as such the waiting time to get a consultation and subsequent treatment was reduced considerably. Best medical advice from across the globe is available to the patient at less cost. Medical practitioners also stand to benefit as they can treat a variety of cases, collaborate among the medical fraternity and give consultation safely in case of fatal contagious diseases.

This study points to a definite growing popularity of telemedicine services not only in episodic patients but also chronic patients. Telemedicine with its unique advantages holds the promise to grow exponentially in the future and is a compelling health-care segment to focus on for delivering health-care solution to the geographically distant consumers.

This study investigates the mediating role of consumer engagement (CE) in the relationship between perceived behavioral control (PBC) and purchase intent and the moderating role of perceived safety in the relationship between PBC and CE in the self-driving car (SDC) context.

To test the model, a sample of 368 consumers was deployed using partial least-squares structural equation modeling (PLS-SEM).

The findings reveal that consumers' SDC engagement mediates the relationship between PBC and their intent to purchase an SDC. Consumer-perceived SDC safety also moderates the association of PBC/engagement.

While prior research has examined consumer-based drivers of SDC adoption, understanding of consumers' SDC engagement-related dynamics and outcomes lags behind. Addressing this gap, we propose and test a model that explores consumers' SDC engagement vis-à-vis its drivers (perceived SDC safety/behavioral control) and outcomes (SDC purchase intent).

This paper proposes a framework that focuses on instilling feelings of gratitude within consumers. Participant sports events are often funded largely by sponsorship revenues, and their consumer base is considered to represent an identifiably unique market. These conditions are argued to be favourable for integrating a gratitude framework. A model is presented that depicts gratitude as a mediating mechanism within a reciprocal relationship between the sponsor and the consumers. It includes purchase intentions as the behavioural outcome of gratitude. The findings suggest that incorporating feelings of gratitude may prove to be advantageous for potential sponsors within the participant sports industry.

This study aims to investigate the influences of two facets of Vietnamese consumers' cultural identities (i.e. global and national) on their intent to consume Korean lifestyle products and services via attitudes toward Korea. The difference between generations (Generation Z vs. X) is examined.

Data are collected through an online survey firm. The participants are Vietnamese consumers residing in Vietnam, varying in age from teens to those in their 50s (n = 500). The collected data are analyzed by SPSS 21.0 for the descriptive statistics, frequency analysis, and reliability analysis. AMOS 21.0 is employed for confirmatory factor analysis and structural equation modeling (SEM) analysis.

This study reveals that global identity affects Vietnamese consumers' attitudes toward Korea and their intent to consume Korean lifestyle products and services. Results show that only global identity affects attitudes and behavioral intention toward Korea among generation Xers, while national identity has no effect. For Generation Z (Gen Z), both global and national identities have a positive effect on attitudes toward Korea, which also increases the intent to consume Korean lifestyle products and services.

Measuring individuals' global and national identities will allow brands and retailers to better understand international consumers of various generations and develop global marketing strategies.

This study bridges gaps in the literature on globalized consumption in a non-Western context by identifying how consumers in emerging markets become involved in cross-cultural consumption.

This research aims to examine how the amount of information provided on a web site affects consumers' perceived risk, satisfaction, intention to revisit, and purchase intent.

A convenience sample of 220 female college students participated in an online experiment. Confirmatory factor analysis, multivariate analysis of variance, and structural equation modeling were conducted.

Significant main effects were found for amount of information on consumers' perceived risk and satisfaction; significant causal relationships were found among perceived risk, satisfaction, intention to revisit, and purchase intent.

Generalizing the findings of the study is limited by the use of only female college student participants and the use of a single type of online retailing. Therefore, future research should consider varied samples and a variety of types of online retail settings to generalize the findings.

The study demonstrates the effect of amount of information on consumers' online shopping behaviors. To reduce risk perception and impact positive consumer shopping behaviors, online retailers should pay attention to the amount of information available on their web sites.

The study provides valuable practical insights to online retailers and academic researchers by suggesting the importance of providing sufficient amounts of information on a web site.

This study is to propose a more effective and efficient analytic methodology based on within-site clickstream associated with path visualization to explore the channel dependence of consumers' latent shopping intent and the related behaviors, with which in turn to gain insight concerning the interactivity between webpages.

The primary intention of the research is to design and develop a more effective and efficient approach for exploring the consumers' latent shopping intent and the related behaviors from the clickstream data. The proposed methodology is to use text-mining package, consisting of the combination of hierarchical recurrent neural networks and Hopfield-like neural network equipped with Laplacian-based graph visualization to visualize the consumers' browsing patterns. Based on the observed interactivity between webpages, consumers' latent shopping intent and the related behaviors can be understood.

The key finding is to evidence that consumers' latent shopping intent and related behaviors within website depend on channels the consumers click through. The accessing consumers through channels of paid search and display advertising are identified and categorized as goal-directed and exploratory modes, respectively. The results also indicate that the effect of the content of webpage on the consumer's purchase intent varies with channels. This implies that website optimization and attribution of online advertising should also be channel-dependent.

This is important for the managerial and theoretical implications: First, to uncover the channel dependence of consumer's latent shopping intent and browsing behaviors would be helpful to the attribution of the online advertising for the sales promotion. Second, in the past, webmasters did not understand users' preferences and make decisions of reorganization purely on the user's browsing path (sequential page view) without appraising psychological perspective, that is, user's latent shopping intent.

This study is the first to explore the channel dependences of consumer's latent shopping intent and the related browsing behaviors through within-site clickstream associated with path visualization. The findings are helpful to the attribution of the online advertising for the sales promotion and useful for webmasters to optimize the effectiveness and usability of their websites and in turn promote the purchase decision.