The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries

Scaglione, Miriam; Giovannetti, Emanuele; Hamoudia, Mohsen

doi:10.1016/j.ijforecast.2015.03.005

Cited by 20 publications

(9 citation statements)

References 40 publications

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“…Van den Bulte & Stremersch (2004) for example in a meta-analysis of Bass diffusion model parameters (Bass, 1969) examined the influence of cultural values and income on the shape of the diffusion process arguing that they significantly affect the social contagion aspect of the technological diffusion. Mahler & Rogers (1999) also examined this factor in the case of mobile banking services while Scaglione et al (2015) discussed the influence of adoption externalities in mobile social network use across G7 countries. In the specific case of our study, the adoption of mobile shopping apps is dependent on the diffusion of devices and the platform availability.…”

Section: Mobile Shopping Adoption Stages and Mobile Shopping Acceptancementioning

confidence: 99%

Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology

Chopdar

Korfiatis

Sivakumar

et al. 2018

Computers in Human Behavior

348

248

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Consumer adoption of mobile shopping apps is an emerging area in m-commerce which poses an interesting challenge for retailers and app developers. In this study, we adapt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to investigate factors predicting consumer behavioral intention (BI) and use behavior (UB) towards mobile shopping apps, considering the impact of two manifestations of consumer's perceived risk: Privacy Risk and Security Risk. Because cultural characteristics may moderate the impact of these risks on behavioral intention and use behavior, we conduct two studies from two consumer panels from countries with significant difference in technology use as captured by the Computer-Based Media Support Index (CMSI), namely India (high CMSI) and USA (low CMSI). For both countries, the baseline UTAUT 2 constructs predict the Behavioral Intention to use mobile shopping apps (and subsequently use behavior). However, the manifestations of perceived risk are significant only for the country with the highest CMSI score, suggesting that cultural influences play a strong role in the adoption of m-shopping. Our study has practical implications for theory as it poses the use of m-shopping apps in a cross-cultural context, suggesting that privacy and security moderate intention to use differently across cultures as predicted by the CMSI. From that perspective, it also has practical implications for consumer behavior researchers and app developers challenged with app localization as well as retailers designing mobile shopping apps for an intercultural audience.

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Section: Mobile Shopping Adoption Stages and Mobile Shopping Acceptancementioning

confidence: 99%

Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology

Chopdar

Korfiatis

Sivakumar

et al. 2018

Computers in Human Behavior

348

248

View full text Add to dashboard Cite

show abstract

“…Moreover, network externalities theory has been used to explain adoption and growth of social media platforms [38][39][40] as well as showing a significant role in the adoption of traditional customer relationship management (CRM) systems [41].…”

Section: Technology Adoptionmentioning

confidence: 99%

The effect of externalities on adoption of social customer relationship management (SCRM)

Davis

Cao

et al. 2017

Int J Qual Innov

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The rise of social media technology has led to new customer relationship management tools that engage customers more easily and directly (social customer relationship management, SCRM). However, the usefulness of SCRM is contingent upon a successful adoption by an organization. Various technology adoption theoretical frameworks have been proposed for social media technologies generally, and for SCRM specifically. This paper extends the literature by exploring network externalities as a potential driver of SCRM adoption in organizations by surveying 363 supply chain professionals regarding their behaviors and uses of SCRM. The results suggest that network externalities have a substantial effect on adoption of SCRM in business organizations and that a perception of higher network externalities has a positive effect on adoption. This implies that organizations should select SCRM systems with better network externalities and also that they should educate their workforce about those strong network externalities leading up to the adoption.

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“…The more people own and use the telephone, the more useful the phone becomes (Katz and Shapiro, 1985; 1986). The network effect has also been shown as an essential driving force in the adoption of home computers (Goolsbee and Klenow, 2002), mobile phones (Grzybowski, 2015), and social media platforms (Lin and Lu, 2011; Chiu et al 2013; Scaglione et al ,2015; Kwahk and Park, 2016). Additionally, the network effect plays a significant role in the adoption of traditional CRM systems (Gu et al , 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of TTF and network externalities for RFID adoption in healthcare industry

Black

2020

IJPPM

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PurposeDespite the extensive adoption of radio-frequency identification (RFID) technology across many industry supply chains, the extent of adoption in healthcare is far behind the earlier expectation. The purpose of this study is to better understand the current RFID adoption in healthcare by looking beyond the existing body of work using both the task-technology fit (TTF) framework and network externalities theories.Design/methodology/approachA survey is employed in this study, and the structural equation modeling (SEM) technique is used to test the hypotheses of the proposed model.FindingsThe findings are twofold. First, both TTF and network externalities exert a positive impact on the RFID adoption in the healthcare sector; and second, no synergistic effect can be found between these two for further increasing the adoption. This is different from what the extant research found on other technology adoptions across various supply chains.Originality/valueThis paper provides contributions to both researchers and practitioners. For researchers, this study enriches the body of knowledge of RFID adoption by being the first to apply the network externalities and TTF theories to predict the adoption of RFID in healthcare. For healthcare practitioners, to make the RFID adoption easier and more effective, any initial applications of RFID tools should be centered on those for which there is a more natural application. Further, for those who propose an RFID adoption should start with a product that has a sizable adoption community; this may help persuade senior management to make the adoption decision.

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The diffusion of mobile social networking: Exploring adoption externalities in four G7 countries

Cited by 20 publications

References 40 publications

Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology

Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology

The effect of externalities on adoption of social customer relationship management (SCRM)

Integration of TTF and network externalities for RFID adoption in healthcare industry

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