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This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.

A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.

This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.

The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.

The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.

The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.

The author examined effects of endorser type and message framing on visual attention and ad effectiveness in health ads, including the moderator of involvement. This paper aims to discuss this issue.

An experiment was conducted with a 2 (celebrity vs. expert) × 2 (positive vs. negative framing) between-subject factorial design. Eye-tracking measured visual attention and a questionnaire measured ad effectiveness and product involvement.

Experimental data from 78 responses showed no vampire effect in the health advertisements. Celebrity endorsement with negative message framing received more attention and had less ad recall than that with positive message framing. Negative and positive message framing attracted the same amount of attention and ad recall in the expert endorsement condition. High involvement participants paid more attention to the ad message with the expert than that with the celebrity, but ad recall was not significantly increased. Low involvement participants exhibited the same attention to the ad message with the expert and with the celebrity, but had greater recall of the ad message with the expert. Visual attention to the endorser was associated with ad attitude but not with ad recall. Ad attitude impacted behavioral intention.

Studies examining influences of celebrity and message framing on ad effectiveness have focused on the response to advertising stimuli, not the information process. The author provides empirical evidence of the viewers' information processing of endorsers and health messages, and its relationship with ad effectiveness. The study contributes to the literature by combining endorser and message framing in health ads to promote public health communication from the information processing perspective.

This study aims to estimate the quality-adjusted changes in residential mobile consumer prices by controlling for the changes in the relevant service characteristics and quality, in a case study on Hungary between 2015 and 2021; compare the results with changes measured by the traditionally calculated official telecommunications price index of the Statistical Office; and discuss separating the hedonic price changes from the effect of a specific government intervention that occurred in Hungary, namely, the significant reduction in the value added tax rate (VAT) levied on internet services.

Since the price of commercial mobile offers does not directly reflect the continuous improvements in service characteristics and functionalities over time, the price changes need to be adjusted for changes in quality. The authors use hedonic regression analysis to address this issue.

The results show significant hedonic price changes over the observed seven-year period of over 30%, which turns out to be primarily driven by the significant developments in the comprising service characteristics and not the VAT policy change.

This paper contributes to the literature on hedonic price analyses on complex telecommunications service plans and enhances this methodology by using weights and analysing the content-related features of the mobile packages.

This study was conducted to achieve the following objectives: (1) determine the differences and reasons for using outgroup OSNs by gender, age and student groups (Mainland and Hong Kong [HK] students); (2) uncover the impact of online social networks (OSNs) on the development of Mainland–HK friendships and (3) determine the roles of different OSNs (social networking sites [SNSs] and instant messaging platforms [IMPs]) in the development of intercultural friendships in the real world.

To explore how OSNs facilitate (or inhibit) intercultural interactions, 198 students completed a questionnaire and 24 students participated in follow-up semi-structured interviews examining the role of OSNs in intercultural friendship development.

Results revealed that demographic and motivational preferences for using outgroup-OSNs differed among students. Both IMPs and SNSs helped students maintain friendships using little effort, whereas it tended to strengthen their existing social networks, rather than helping to start new friendships. IMPs helped develop a sense of “presence awareness”, strengthening pre-existing friendships and solidifying offline connections. SNSs also assisted students in exploring their shared interests while revealing their values and cultural differences.

The authors’ findings offered empirical evidence on social exchange theory and anxiety-uncertainty management theory regarding the perceived benefit of OSNs on students' friendship development.

The study sheds light on the differences between Mainland Chinese and HK students, including participants' perceptions of different friendship stages.

This study is interested in the roles of different SNSs and IMPs in intercultural friendship development, especially their strengths and weaknesses as perceived by students. Also, the authors are curious about how students select and use IMPs and SNSs differently according to their individual preferences and needs. To the authors’ knowledge, the dynamic link between online communication and intercultural friendship development has not been thoroughly examined in the field of intercultural communication.

This study aims to understand the utility of personas and illustrate, through a case study, how a persona-building exercise in a Community Based Prevention Marketing (CBPM) training of community leaders elicited important insights that complemented findings from ongoing formative research on vaccine hesitancy in the Hispanic/Latino population in the USA during COVID-19 pandemic.

An exploratory concurrent parallel qualitative study design compared three personas created by community-based organization members (n = 37) to transcripts from five formative research focus groups (n = 30) from the same project. All participants in this study were recruited by the National COVID-19 Resiliency Network as part of their capacity-building and formative research activities. Grounded theory guided the content analysis.

This study found personas and focus groups to be complementary. A high degree of co-occurrence was observed when investigating the uptake of the COVID-19 vaccine under the categories of barriers, culture and communication. Between the two methods, the authors found strong associations between fear, disruption to the value system, work-related barriers, inaccessibility to health care and information sources and misinformation. Areas of divergence were negligible.

While personas provided background information about the population and sharing “how” to reach the priority population, focus groups provided the “why” behind the behavior, followed by “how”.

A community-driven persona-building process built on cultural community knowledge and existing data can build community capacity, provide rich information to assist in the creation of tailored messages, strategies and overall interventions during a public health crisis and provide user-centered, evidence-based information about a priority population while researchers and practitioners wait on the results from formative research.

This case study provided a unique opportunity to analyze the complementary effectiveness of two methods acting in tandem to understand the priority population: stakeholder-informed persona-building and participant-informed focus group interviews. Understanding their complementary nature addresses a time gap that often exists between researchers and practitioners during times of crises and builds on recommendations associated with bringing rigor into practice, promoting academic contribution to real-world issues and building collaborative partnerships. Finally, it supports the utility of a nimble tool that improves social marketers’ ability to know more about their audience for intervention design when time is of the essence and formative research is ongoing.

This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer performance (low- versus high-performance customers) and to reconcile past contradictory results in this marketing-related topic. To this end, the authors propose and validate the method of quantile regression as an unconventional, yet effective, means to proceed to that reconciliation.

This study collected data from 4,934 customers of a private pension fund firm and accounted for both firm- and customer-initiated relational communication channels (RCCs) and for customer lifetime value (CLV). This study estimated a generalized linear model and then a quantile regression model was used to account for customer performance heterogeneity.

This study finds that specific RCCs present different levels of association with performance for low- versus high-performance customers, where outcome customer performance is the dependent variable. For example, the relation between firm-initiated communication (FIC) and performance is stronger for low-CLV customers, whereas the relation between customer-initiated communication (CIC) and performance is increasingly stronger for high-CLV customers but not for low-CLV ones. This study also finds that combining different forms of FIC can result in a negative association with customer performance, especially for low-CLV customers.

The authors tested the conceptual model in one single firm in the specific context of financial services and with cross-sectional data, so there should be caution when extrapolating this study’s findings.

This study offers nuanced and precise managerial insights on recommended resource allocation along with relational communication efforts, showing how managers can benefit from adopting a differentiated-customer performance approach when designing their MRCS.

This study provides an overview of the state of the art of MRCS, proposes a contingency analysis of the relationship between MRCS and performance based on customer performance heterogeneity and suggests the quantile method to perform such analysis and help reconcile past contradictory findings. This study shows how the association between RCCs and CLV varies across the conditional quantiles of the distribution of customer performance. This study also addresses a recent call for a more holistic perspective on the relationships between independent and dependent variables.

This case replaces UVA-M-0837. It can be used in a variety of marketing and strategy classes to understand how (1) at a macro level, a shift in consumer and environmental factors can impact firm strategy and (2) at a micro level, an e-mail-based marketing campaign designed to address these changes can impact firm-level performance.

The case puts the students in the position of CEO Robert Huth as he is preparing for a board meeting. He had taken David's Bridal from a loss in 1996 to sales of over $1 billion by 2011, but he was concerned about future growth. People were waiting longer and longer to get married and, once they decided to, were spending much less than in the past, so the industry had seen year-over-year declines since 2007. How would David's Bridal establish its brand in the minds of a new generation of brides who shopped, purchased, and decided differently than had brides in past generations?

Artificial intelligence is one of the most significant and active fields of study in the last few years. Artificial intelligence-derived robotic technologies known as chatbots are gaining interest from both academic and industry sectors. By analyzing the development and patterns of research on the chatbot phenomena within the tourism field, this study seeks to develop a theoretical framework for the interaction between chatbots and tourism.

The Web of Science (WoS) database’s 33 articles on chatbots related to travel and hospitality were examined between 2019 and 2024 using VOSviewer software for bibliometric and thematic content analysis.

Research on chatbots for tourism and hospitality appears to be in its early stages. The factors influencing tourists' intentions to use chatbots have been thoroughly researched; the attitudes, perceptions and behavioral intentions of destinations, travel agencies and restaurant patrons regarding chatbots were examined, and it was found that the quantitative research approach was dominant. In addition, the majority of the studies are based on a particular theory or model.

This is one of the first attempts to directly comprehend and depict the interconnected structures of studies on the interaction between chatbots and tourism through the use of network analysis. Furthermore, the study’s findings can offer academics a comprehensive viewpoint and a reference manual for more accurate assessment and oversight of the chatbot-tourism interaction. Regarding the lack of research on the topic and the fragmented structure of the studies that exist, it is imperative to provide both a comprehensive overview and a roadmap for future investigations into the usage of chatbots in the travel and hospitality sector.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs).

Sample data for this study were collected from medical professionals at six university-/medical university-affiliated hospitals in Taiwan. A total of 600 questionnaires were distributed, and 309 (51.5%) usable questionnaires were analyzed using structural equation modeling in this study.

This study certified that medical professionals’ perceived MR, HSI and HHI in MOOCs positively affected their emotional LE, cognitive LE and social LE elicited by MOOCs, which together explained their LP in MOOCs. The results support all proposed hypotheses and the research model accounts for 84.1% of the variance in medical professionals’ LP in MOOCs.

This study uses the S-O-R model as a theoretical base to construct medical professionals’ LP in MOOCs as a series of the psychological process, which is affected by MR and interaction (i.e. HSI and HHI). Noteworthily, three psychological constructs, emotional LE, cognitive LE and social LE, are adopted to represent medical professionals’ organisms of MOOCs adoption. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies using the S-O-R model and psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context, and this study’s contribution on the application of capturing psychological constructs for completely explaining three types of technological features as external stimuli to medical professionals’ LP in MOOCs is well-documented.

Prior research has extensively examined how bringing technology from work into the non-work life domain creates conflict, yet the reverse pathway has rarely been studied. The purpose of this study is to bridge this gap and examine how the non-work use of smartphones in the workplace affects work–life conflict.

Drawing from three literature streams: technostress, work–life conflict and role boundary theory, the authors theorise on how limiting employees' ability to integrate the personal life domain into work, by means of technology use policy, contributes to stress and work–life conflict. To test this model, the authors employ a natural experiment in a company that changed its policy from fully restricting to open smartphone access for non-work purposes in the workplace. The insights gained from the experiment were explored further through qualitative interviews.

Work–life conflict declines when a ban on using smartphones for non-work purposes in the workplace is revoked. This study's results show that the relationship between smartphone use in the workplace and work–life conflict is mediated by sensed stress. Additionally, a post-hoc analysis reveals that work performance was unchanged when the smartphone ban was revoked.

First, this study advances the authors' understanding of how smartphone use policies in the workplace spill over to affect non-work life. Second, this work contributes to the technostress literature by revealing how, in specific situations, engagement with ICT can reduce distress and strain.