App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Roy, Subhadin

doi:10.4301/s1807-17752017000200006

Cited by 41 publications

(53 citation statements)

References 51 publications

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“…Adapting TRA, Davis [63] developed the technology acceptance model (TAM), in which perceived usefulness and perceived ease of use were postulated as key constructs influencing the intention of a person for technology acceptance. TAM remains a dominant framework in the literature and has been extensively used to study adoption behavior in areas like mobile apps [66], tourism [67], and mobile financial services [68]. However, the model has received criticism because of its inability to capture negative emotions and intrinsic motivations [69].…”

Section: Unified Theory Of Acceptance and Use Of Technology 2 (Utaut2)mentioning

confidence: 99%

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Cheng

Sharma

et al. 2020

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The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

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Section: Unified Theory Of Acceptance and Use Of Technology 2 (Utaut2)mentioning

confidence: 99%

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Cheng

Sharma

et al. 2020

Information

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“…The growth and adoption rates of mobile apps are amazingly high. The rapid adoption of apps is attributed to their ease of use and the quick access to desired content [13]. However, not all mobile apps see activity.…”

Section: The Popularity Of Mobile Appsmentioning

confidence: 99%

Mobile APPs and Global Markets

Tao¹,

Edmunds²

2018

TEL

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In this research, we examine the popularity of mobile applications across different categories by using the measures of monthly active users (MAUs) of each app. It is the authors' intention to inspect the key characteristics of mobile apps and the relationship those characteristics have with market share and growth rate in global markets. The ease of use of mobile apps leads to a subsequent impact on the global users' mobile behavior in daily life. Mobile apps have flooded the market, however, the acceptance and use of individual apps relies on a combination of the preference of users and the operational strategies employed by app developers. Based on secondary data collected from multiple sources including both publications and online data, the global market growth of mobile apps including China (the world's largest market of mobile apps) has shown a correlation between apps' market share and the users' mobile behavior based on messaging, networking, shopping, video watching, and gaming. This research categorizes users' mobile behavior in terms of age groups and time spent on certain mobile apps. The objective of this investigation is better understanding of the dominance of leading mobile apps and the future trend of mobile apps designed for the global market.

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“…UTAUT integrates key factors including expected performance of the new technology, effort, and social influences, with moderating variables such as age, gender, experience, and voluntariness. These conceptual MIS models are then explored empirically as the impact of specific variables that influence technology adoption behavior is identified (Venkatesh et al, 2012;Kamal, 2006;Ghezzi et al, 2013;Roy, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Research on technology adoption in management information systems (MIS) identified several conceptual models and general frameworks for such decisions including the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (Venkatesh et al, 2003(Venkatesh et al, , 2012Gangwar et al, 2014;Roy, 2017) as well as specific variables and success factors that influence adoption behavior (e.g. Kamal, 2006;Ghezzi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

On the Role of Switching Costs and Decision Reversibility in Information Technology Adoption and Investment

Chulkov

2017

JISTEM

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Managerial decisions on the adoption of innovative technologies by a firm are made under conditions of uncertainty and must account for network externalities that imply the benefit of a technology is received not only from its intrinsic payoff, but also from the size of the network of other adopters. The theoretical model presented in this study demonstrates that for firms evaluating information technology investment with network effects key determinants of the technology selection pattern are adoption reversibility and switching costs. If switching costs are sufficiently high to make technology adoption irreversible then safer established technologies have an advantage as choosing a riskier untested technology opens the firm to the risk of being stranded without a network of followers. With lower switching costs, the technology adoption decision is reversible which provides an advantage to riskier untested technologies. A discussion of empirical evidence on adoption patterns in information technology provides application for the theoretical model.

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App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Cited by 41 publications

References 51 publications

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Mobile APPs and Global Markets

On the Role of Switching Costs and Decision Reversibility in Information Technology Adoption and Investment

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