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The increased usage of smartphones has made mobile payment services (MPS) popular among millennials, but it is uncertain if this shift in behavior is temporary due to situational factors like the pandemic or a long-term trend due to technological advances. This study uses the diffusion of innovation (DOI) literature to assess an integrated model including smartphone addiction, technology-related and consumer-related factors that influence consumers' intention to use MPS. It also explores the interplay of situational variables and smartphone addiction in shaping this relationship.

The authors base the conceptual model on the theory of rational addiction and the theory of optimal flow. This model is then empirically validated through data collected from seven hundred users of MPS in India. Research hypotheses are tested using structural equation modeling and multi-group analysis.

The study finds that smartphone addiction has a positive impact on millennials' perceived advantages, compatibility, trialability and observability of MPS but does not significantly affect their perceived complexity or risk. The results also suggest that the relationship between smartphone addiction and MPS is moderated by situational factors. In low-priority situations, smartphone addiction strengthens millennials' perceptions and intentions to use MPS, while in high-priority situations, situational factors overshadow the impact of smartphone addiction.

The findings of the study enable organizations to capitalize on smartphone addiction-driven MPS adoption behavior to sustain long-term usage behavior by appropriately understanding the context/situation which drives MPS adoption.

The purpose of this study is to understand the effects of self-risk perception and health consciousness on the intention to purchase organic food. The study also explored external factors, such as social networking, culture and their impact on attitude, self-risk perception and purchasing organic food.

This study uses a quantitative research method to collect data from New Zealand and Fiji (N = 701). The data analysis used the partial least squares path modeling technique (PLS-PM) to test the proposed model.

The empirical results revealed that self-risk perception positively influenced organic food intention. The results show that the health consciousness level strengthens the relationship between self-risk perception, beliefs, values and purchase intention. The health consciousness level dampens the relationship between social networking and purchase intention.

The findings of this study provide valuable insights into the guidance and promotion of Fijian and New Zealand's organic food industry. This study enables marketers to develop health-related promotional tactics to stimulate organic food sales. It gauges organic food promoters to use social media-oriented consumer networking to spread health awareness swiftly.

This comprehensive study extends the literature by scrutinizing the profundity of self-risk perception and health consciousness in influencing and explaining consumers' purchase intentions. Aside from ample growth in the study of organic food purchase intention, which commonly replicates simple relationships, this study ascertains deeper meaning and new relationships to understand the moderating role of health consciousness levels in organic food studies, expanding the theory of planned behavior.

Social media has become an indispensable part of modern politics. Its rise in the political arena has coincided with the decline in trust toward mainstream media. Today, more than half of the population gets their political news and information through social media platforms like Twitter and Facebook. Social media offers a great marketing opportunity to politicians as they allow them to bypass traditional media and communicate directly with voters, engage citizens during campaign and noncampaign periods, and create a brand image. As social media's influence in politics grows, so has the research devoted to political marketing on social media. It is against this backdrop that this chapter is written, which provides readers with an overview of the academic domain and the current state of literature. The chapter highlights the various research areas that have been explored in the literature and the implications of social media for political marketing strategy, along with the domain's current limitations and possible avenues of further research.

The purpose of this paper is to perform a meta-bibliometric analysis of the banking service quality and to provide various research streams. Another goal is to provide future research questions to explore these areas in more detail.

The authors used three major academic databases (Scopus, ProQuest and EBSCO) from 1980–2021 and found 226 papers, where they performed the meta-bibliometric analysis by performing co-citation analysis, co-authorship analysis, cartographic analysis and content analysis.

The SERVQUAL model is the most used conceptual framework and model to study banking service quality. Structural equation modeling (SEM), followed by partial least squares SEM, is a majorly used method. There are three research streams in the literature: retail banking service quality, internet banking service quality and mobile banking service quality. Retail banking is the most studied stream, whereas mobile banking is the least studied stream. The study on banking service quality was initially conducted in developed markets, and later in emerging markets. All three streams have scope for further exploration, and hence, 44 future research questions have also been proposed.

This study has implications for bank managers, academicians and future researchers.

This study is unique in that it examines the meta-bibliometric dimensions of banking service quality and provides directions for future research for academicians and researchers.