Search results

The purpose of this paper is to explore the emerging motives behind check-in and location sharing of consumers on social network sites (SNSs). A theoretical model for the emergent motives of check-in behavior is proposed, and implications of location sharing for consumer behavior and marketing are discussed.

Data were collected from a convenience sample of 32 respondents, comprising a representative sample of location-based SNS users. In total, 217 unique check-ins, locations, and motives were analyzed, and seven emergent motives were identified through content analysis.

This paper identified the key motives behind check-in behavior, including social-enhancement value, informational and social motivation, entertainment value, gameful experiences, utilitarian motivation, and belongingness. Social-enhancement value is the most frequently cited motive, driven mainly by the selective self-presentation efforts of respondents. Gameful experiences are a newly emerging motive contributing to the “uses and gratifications theory” (UGT).

The proposed model has not yet been formally verified in a quantitative study. A further study with a larger sample size is planned for future work for the verification and generalization of the findings.

Practitioner approaches on check-in behavior are mainly focussed on consumers giving and receiving recommendations of locations and consumers responding to the promotional efforts of marketers. However, this study suggests consumers have more creative and different motives, such as dating through location-based SNSs or gameful experiences.

Research into location-based SNSs is a relatively new area in marketing. This study and proposed model are among the first to explain check-in behavior. Additionally, gameful experiences contribute to UGT, a construct that has not been previously identified.

This paper aims to propose several characteristics of check-in services and investigates whether these characteristics influence customer perceived utilitarian and hedonic values. These perceived values mediate the influences of check-in services on customers' responses.

From the perspective of mobile check-in service, the authors proposed a framework with several hypotheses and verified the model with structural equation modeling based on questionnaire data collected from mobile device users.

The results indicate that self-disclosure, expressive support and self-congruity positively relate to utilitarian value; instrumental support positively relates to hedonic value and both hedonic and utilitarian values positively relate to continuance intention and re-patronage intention. However, sales promotion has no significant influence on both hedonic and utilitarian check-in values.

This study applies the concept of location-based social networks to provide new insights into the evolving user-generated content research in the interactive marketing field.

This paper aimed to explain why individuals still tend to disclose their privacy information even when privacy risks are high and whether individuals disclose or withhold information following the same logic.

This study develops a configurational decision tree model (CDTM) for precisely understanding individuals' decision-making process of privacy disclosure. A survey of location-based social network service (LBSNS) users was conducted to collect data, and fuzzy-set qualitative comparative analysis (fsQCA) was adopted to validate the hypotheses.

This paper identified two configurations for high and low disclosure, respectively, and found that the benefits and the risks did not function independently but interdependently, and the justice would play a crucial role when both the benefits and the risks were high. Furthermore, the authors found that there were asymmetric mechanisms for high disclosure and low disclosure, and males focused more on perceived usefulness, while females concerned more about perceived enjoyment, privacy risks and perceived justice.

This paper further extends privacy calculus model (PCM) and deepens the understanding of the privacy calculus process from a configurational perspective. In addition, this study also provides guidance for future research on how to adopt the configurational approach with qualitative comparative analysis (QCA) to revise and improve relevant theories for information systems (IS) behavioral research.

This chapter is concerned with exploring the various ways in which Pokémon Go complements or challenges family life. The chapter begins by explicating the multisided concept of play and the myriad definitions that surround this term. Having established the various way in which this phenomenon can improve the lives of those who engage in it – physically, emotionally and cognitively – we go on to consider how play has gradually shifted from public spaces and into designated playgrounds, and how this trend corresponds with children concurrently moving away from the streets and into their bedrooms. Following this, we explore the impact digital technologies are having on the practice of parenting, paying particular attention to video games as a significant facet of youth culture that is often associated with a range of negative connotations. Yet, video games are not intrinsically bad. As we outline, research on intergenerational play and joint-media engagement (JME) readily demonstrate the many benefits families can experience when these games are played together. What is missing from this developing body of work is the familial playing of locative games and the extent to which this practice adds contours to our understanding of this field. The chapter is, therefore, driven by the following research questions. First, why and how do families play Pokémon Go? This includes the different roles that family members adopt, alongside motivations for families playing this game, how the playing of this game complements the rhythms of family life and the extent to which this hybrid reality game (HRG) is suited to intergenerational play. Second, what impact does locative familial play have on families, collectively speaking, and regarding individual family members? Here, we are not just interested in whether this game allows families to bond and how this bonding process is experienced, but also whether the familial play of Pokémon Go provides families with any learning opportunities that might facilitate personal growth beyond the game. Third, what worries might parents have about the familial playing of Pokémon Go and to what extent does the locative aspect of this game reshape their apprehensions?

The purpose of this paper is to examine the effect of flow experience on users’ social commerce intention.

Based on the 287 valid responses collected from a survey, structural equation modeling was used to examine the research model.

The results indicated that social interaction, which includes human–computer interaction and human–human interaction, has a significant effect on the flow experience, which in turn affects social purchase and social sharing intention.

The results imply that companies need to facilitate social interaction to improve users’ experience and promote their social commerce intention.

Although prior research has examined social commerce user behaviour from multiple perspectives such as trust, perceived value and technological perceptions, it has focused on the effect of cognitive beliefs and neglected the effect of affective beliefs such as flow experience. This research tries to fill the gap.

At present no frameworks exist for services marketers to incorporate social media (SM) within marketing communications planning. The majority of integrated marketing communications (IMC) frameworks were developed prior to the development of the widespread use of digital and SM for information seeking, sales and service. The purpose of this paper is to investigate this issue for services marketers specifically as they differ from FMCG, industrial and durable marketers in terms of marketing messages, branding, media and channels. Furthermore, as they are less reliant on outsourced sale channels they have more potential than other industries to integrate social and digital media to build awareness, brands and sales.

Depth interviews were conducted with eight senior services marketing executives to identify the impact of SM on marketing communications planning, implementation and measurement.

The findings revealed that the unique characteristics of SM (such as interactivity and individualisation, integration of communication and distribution channels, immediacy and information collection) impact traditional marketing communications frameworks. These impacts manifested in 12 modifications specific to services and SM to traditional generic IMC frameworks encompassed by the themes of reach, service channel, word-of-mouth advocacy, consumer generated messages, listening and behavioural measurement.

The rapidly evolving nature of SM means senior services marketers need to educate organisational stakeholders regarding implementation issues, which may be a barrier to effective integration of SM within marketing communications.

With digital marketing communications budgets reaching 30 per cent within some organisations, it is timely to put forward a marketing communication decision-making framework that first incorporates SM and second is suitable for services marketers.

Twitter usage during Gezi Park Protests, a significant large-scale connective action, is analyzed to reveal meaningful findings on individual and group tweeting characteristics. Subsequent to the Arab Spring in terms of its timing, the Gezi Park Protests began by the spread of news on construction plans to build a shopping mall at a public park in Taksim Square in Istanbul on May 26, 2013. Though started as a small-scale local protest, it emerged into a series of multi-regional social protests, also known as the Gezi Park demonstrations. The paper aims to discuss these issues.

The authors sought answers to three important research questions: whether Twitter usage is reflective of real life events, what Twitter is actually used for, and is Twitter usage contagious? The authors have collected streamed data from Twitter. As a research methodology, the authors followed social media analytics framework proposed by Fan and Gordon (2014), which included three consecutive processes; capturing, understanding, and presenting. An analysis of 54 million publicly available tweets and 3.5 million foursquare check-ins, which account to randomly selected 1 percent of all tweets and check-ins posted from Istanbul, Turkey between March and September 2013 are presented.

A perceived lack of sufficient media coverage on events taking place on the streets is believed to result in Turkish protestors’ use of Twitter as a medium to share and get information on ongoing and planned demonstrations, to learn the recent news, to participate in the debate, and to create local and global awareness.

Data collection via streamed tweets comes with certain limitations. Twitter restricts data collection on publicly available tweets and only allows randomly selected 1 percent of all tweets posted from a specific region. Therefore, the authors’ data include only tweets of publicly available Twitter profiles. The generalizability of the findings should be regarded with concerning this limitation.

The authors conclude that Twitter was used mainly as a platform to exchange information to organize street demonstrations.

The authors conclude that Twitter usage reflected Street movements on a chronological level. Finally, the authors present that Twitter usage is contagious whereas tweeting is not necessarily.

Community health is placed under the limelight during the COVID-19 crisis, providing a unique context for investigating citizens' health-privacy tradeoff in accepting social surveillance technology. To elucidate this tradeoff dilemma, an extended privacy calculus framework integrated with the Health Belief Model, legislative protection, and individual collectivism was examined using the case of national contact-tracing apps.

The hypotheses were tested through PLS-SEM analysis with data collected from a survey on Bluezone – a national app in Vietnam.

The results indicated the negative impact of privacy concerns, which was offset by the positive effect of perceived benefits in using contact-tracing apps. The effect size of perceived benefits on usage frequency was twice as large as that of privacy concerns. Individual collectivism was revealed as a mitigator of the tradeoff dilemma, as it was positively associated with perceived benefits, whereas legislative protection had no such role. Citizens may perceive legislation protection as invalid when the technologies are developed, implemented, and monitored by the authorities.

The theoretical contributions lie in the extension of the privacy calculus model as well as its application in the context of mobile health apps and surveillance technology. The study empirically corroborated that the privacy calculus theory holds when technologies move along the pervasiveness spectrum. This study also provided actionable insights for policymakers and developers who advocate the mass acceptance of national contact-tracing apps.

Push notification service (PNS) is an important approach to distribute personalized information to users timely and is getting more and more popular. However, users' privacy concerns are a major inhibiting factor in their continuance usage of PNS. This study investigates the effect of privacy protection functions provided by PNS sites in enhancing users' perceived fairness on the basis of justice theory to mitigate users' concerns of information privacy. The mechanism underlying such influence on users' continuance usage of PNS comprises privacy concern and privacy-control self-efficacy.

Four scenario-based surveys are conducted to test the proposed hypotheses. The authors test the research model with a sample of 360 participants by ANOVA and PLS.

Results show that the proposed privacy protection functions have direct positive effects on users' privacy-control self-efficacy, negative effects on privacy concern and indirectly affect their continuance usage of PNS. Furthermore, the interaction effects between two approaches have different impacts on users' privacy concern and privacy-control self-efficacy.

This study provides some suggestions and guidance for PNS providers to design effective privacy protection technologies.

Companies understand the potential to use gamification marketing to facilitate a better connection. However, most endeavours in gamification fail. This study aims to identify the design factors that drive the marketing effectiveness of branded applications (apps) with gamification features.

This study investigates branded apps covering various industries such as hospitality, retail and financial services. A total of 296 respondents were recruited from an online questionnaire platform.

The results show that playability, design aesthetics, goal clarity, incentive provision and symbolic benefits were drivers of consumer–brand engagement, which in turn generated purchase intention, app continuance intention and brand loyalty.

Based on the elemental tetrad model, this study specified relevant factors identified in the literature to represent the technology, aesthetic, mechanical and story elements. The authors contribute to the literature by identifying design factors as drivers of consumer–brand engagement in the branded app context.