Investigating the determinants of low adoption of tablet PCs in Korean firms: Effects of value perception and alternative attractiveness

Moon-Koo, Kim; Joo, Changlim; Park, Jong‐Hyun

doi:10.1016/j.tele.2017.07.003

Cited by 18 publications

(26 citation statements)

References 85 publications

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“…Several studies also explored technology adoption across multiple settings (e.g., Venkatesh and Davis, 2000 ; Venkatesh et al, 2003 ; Burton-Jones and Hubona, 2006 ; Kim et al, 2007 ; Jones et al, 2010 ; Lee et al, 2013 ; Wang et al, 2014 ). The technology studied in workplaces includes general information technology (IT) ( Liao and Landry, 2000 ; Kim et al, 2007 , 2017 ; Lam et al, 2007 ; Dutta and Borah, 2018 ) or specific technologies, such as email and word processing software ( Venkatesh and Davis, 2000 ; Burton-Jones and Hubona, 2006 ) and IS systems such as agile IS and e-learning ( Hong et al, 2011 ; Lee et al, 2013 ).…”

Section: Review Findingsmentioning

confidence: 99%

Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors

et al. 2021

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The rapid advancement of new digital technologies, such as smart technology, artificial intelligence (AI) and automation, robotics, cloud computing, and the Internet of Things (IoT), is fundamentally changing the nature of work and increasing concerns about the future of jobs and organizations. To keep pace with rapid disruption, companies need to update and transform business models to remain competitive. Meanwhile, the growth of advanced technologies is changing the types of skills and competencies needed in the workplace and demanded a shift in mindset among individuals, teams and organizations. The recent COVID-19 pandemic has accelerated digitalization trends, while heightening the importance of employee resilience and well-being in adapting to widespread job and technological disruption. Although digital transformation is a new and urgent imperative, there is a long trajectory of rigorous research that can readily be applied to grasp these emerging trends. Recent studies and reviews of digital transformation have primarily focused on the business and strategic levels, with only modest integration of employee-related factors. Our review article seeks to fill these critical gaps by identifying and consolidating key factors important for an organization’s overarching digital transformation. We reviewed studies across multiple disciplines and integrated the findings into a multi-level framework. At the individual level, we propose five overarching factors related to effective digital transformation among employees: technology adoption; perceptions and attitudes toward technological change; skills and training; workplace resilience and adaptability, and work-related wellbeing. At the group-level, we identified three factors necessary for digital transformation: team communication and collaboration; workplace relationships and team identification, and team adaptability and resilience. Finally, at the organizational-level, we proposed three factors for digital transformation: leadership; human resources, and organizational culture/climate. Our review of the literature confirms that multi-level factors are important when planning for and embarking on digital transformation, thereby providing a framework for future research and practice.

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Section: Review Findingsmentioning

confidence: 99%

Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors

et al. 2021

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“…Perceived risk factors that apply to AV adoption include security, performance, time, and financial risks; see Table 1 for the definitions. Furthermore, past studies regarding the adoption of a technology in different domains found that the social influence [19], personal innovativeness [20], and alternative attractiveness [21] affected the intention to adopt; see Table 1 for the definitions. However, none of the previous studies on AVs measured these influences.…”

Section: Net Valence Model (Nvm)mentioning

confidence: 99%

“…In decision making [31] and fintech adoption [32], analysts identified a positive relationship between financial risk and perceived risk. A study [21] on tablet PC adoption found that the technology price was the key construct with a positive link to the perceived drawbacks and reducing the pace of acquisition of tablet PCs. Regarding AVs, this study defined the perceived financial risk as what people believe in relation to the possible cost of acquiring AVs; they are less likely to select expensive innovations.…”

Section: Financial Riskmentioning

confidence: 99%

Benefits or Risks: What Influences Novice Drivers Regarding Adopting Smart Cars?

2021

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Level 4 autonomous vehicles (AVs) are smart vehicles that can move between two different points without any human interference. In 2018, the Saudi Arabian ban on female drivers was finally lifted, resulting in a large number of novice women drivers of different ages. The Kingdom might therefore be considered a risky place to drive, but AVs would help novices to reduce their fear of driving and reduce accidents. Previous studies focused narrowly on those who already had sufficient driving experience and held a valid driving license, but there were no studies on the adoption of smart cars by novice drivers. Based on a literature search, no studies had used a net valence model (NVM) for the adoption of AVs to understand their benefits/risks. Therefore, this study proposed an adoption model for AVs using an NVM to identify the benefit and risk factors that have an impact on beginner drivers’ adoption of autonomous vehicles. A survey method was applied using the purposive sampling technique. Data were collected from 1400 female Saudi novice drivers who had experience with driving AVs. Data analysis was performed using Smart PLS Version 3. The results showed that individuals tended to ignore potential risks and focus instead on the potential benefits of using AVs. Performance expectancy, enjoyment, and effort expectancy were found to be positively related to the perceived advantages. On the other hand, the perceived risk as a construct did not have an impact on beginner drivers’ adoption of autonomous vehicles. Therefore, the major theoretical contribution of this study was the formation of a new NVM model by incorporating three more constructs, which were social influence, personal innovativeness, and alternatives. Finally, the enhanced NVM model could assist AV developers in identifying the expected benefits and drawbacks of AV adoption.

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“…Following a review of relevant value perceptions in the product adoption domain (Sheth, Newman, & Gross, 1991;Sweeney & Soutar, 2001;Sweeney & Soutar, 1996;Wan, Wang, Zhang, & Cao, 2017) and on prior research on Information System, marketing and design fields (Burucuoglu & Erdogan, 2016;Pura, 2005;Wang, Liao, & Yang, 2013) six values are proposed as drivers of personal technologies adoption: functional, monetary, entertainment, social, epistemic and aesthetic value. This multidimensional perspective contends that the experience with a product engenders several consumption values (Holbrook, 1996;Holbrook, 1999;Kim, Joo, & Park, 2017;Ku, Chu, & Tseng, 2013;Omigie, Zo, & Rho, 2017;Wang et al, 2013) taking a step further from the bidimensional approach of TAM and the more traditional marketers perspective.…”

Section: Value Perceptionsmentioning

confidence: 99%

Exploring the adoption process of personal technologies: A cognitive-affective approach

Bettiga

Lamberti

2017

The Journal of High Technology Management Research

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The impact of cognitive and emotional factors on the customer's decision to adopt a new technology has long been at the core of innovation and marketing literature. Today, the proliferation of personal technologies makes the understanding of the adoption process of such innovations a vital issue. This article, moving from long-established technology adoption theories, integrates affective factors to propose a comprehensive framework to interpret and orient innovation and marketing approaches of Companies. To do this, we review a rich literature from the domains of management, information systems, marketing and cognitive psychology, identifying six possible sources of perceived value for personal technologies, hence attitude to adopt them: functional value, monetary value, social value, entertainment value, epistemic value and aesthetic value. After defining and framing them in the extant literature, we discuss how the framework may be adopted in practice to support Companies' strategies in the surprisingly under-explored industry of personal technologies.

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Investigating the determinants of low adoption of tablet PCs in Korean firms: Effects of value perception and alternative attractiveness

Cited by 18 publications

References 85 publications

Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors

Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors

Benefits or Risks: What Influences Novice Drivers Regarding Adopting Smart Cars?

Exploring the adoption process of personal technologies: A cognitive-affective approach

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