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Electronic books (e-books) have been in the market for decades but have been unable to replace paper books. Previous studies on e-books have failed to identify significant factors affecting the adoption and diffusion of e-books. This study develops a theoretical framework to explain the adoption behavior of e-books from the perspective of user resistance.

After a pilot test with 50 e-book users, the research model is validated using a partial least squares structural equation modeling (PLS-SEM) technique. A web-based survey method is used to collect data from a sample of 350 people – selected from Korean e-book users and nonusers – during a week in March 2017. This study tests the reliability and validity of the integrated model of planned behavior and resistance theory and tests the hypotheses with bootstrapping resampling.

The results show that four barriers – usage, value, risk and image – cause resistance to change and users with higher resistance have lower intention to use. The moderating effect of self-efficacy between resistance to change and intention to use is confirmed. Self-efficacy interacts not only with the encouraging factors but also with resistance.

This study expands the understanding of users' adoption behavior of e-books by examining inhibiting factors using a novel integrated model. The findings of this research provide insights for digital product providers, especially e-book publishers, to understand why digital products have not been successful in the marketplace.

The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ behavioral intentions to adopt and use smart home services.

This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples.

Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services.

To increase potential users’ adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions.

This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features.

The purpose of this paper is to extend the theory of consumption values by investigating the influence of aesthetic, conditional, convenience, monetary, epistemic, self-gratification, and social value on customer pre-adoption choice behavior to use mobile financial services.

Data were collected using an online survey questionnaire resulting in 524 total responses from registered users of M-PESA mobile financial services in Kenya, ultimately resulting in a usable sample of 384 responses. Partial least squares was used to evaluate the research model and associated hypotheses.

Aesthetic, conditional, convenience, monetary, epistemic, and self-gratification value are positive determinants of customer pre-adoption choice behavior to use M-PESA mobile financial services, but not social value.

Survey participants were limited to customers of M-PESA mobile financial services in Kenya. The study findings present important implications for managers and academic researchers in the mobile financial services market.

This is one of the first empirical studies to investigate customer pre-adoption choice behavior to use M-PESA mobile financial services from the perspective of customer perceived value.

The purpose of this paper is to develop a conceptual framework to describe the continual usage of social computing systems from an experiential perspective.

A conceptual framework is developed using theories formulated from a variety of disciplines including information system (IS) continuance, relationship formation, human-computer interaction, and motivation theory.

The conceptual framework encompasses the relationship and experiential perspective of user-computer interactions. The framework also identifies factors that contribute to the continual usage of social computing by users and how these factors are related with system features.

This study does not include an empirical analysis to validate the conceptual framework proposed in this study. Future research is encouraged to examine the ten propositions from the proposed conceptual framework.

The conceptual framework takes a different approach which is well suited for examining the continual usage of social computing applications (SCAs).

Previous research investigating factors that contribute to the continual usage of social computing often examined using static and utilitarian-based models. The conceptual framework in this study provides a different perspective for explaining why people use SCAs.

The purpose of this paper is to examine how user-perceived video quality, measured by computer assisted web survey, interacts with content richness (CR) and interactivity (IA). It also analyzes how those internet protocol television (IPTV) idiosyncrasies impacts audience perceptions (perceived usefulness (PU) and perceived resistance (PR)) and actual subscriptions.

A computer assisted web survey was administered in Korea to collect data. A structural equation model and Z-test analyses were conducted to address the research hypotheses.

User-perceived video quality influences audience perceptions (PU and PR) through interaction with CR and IA. Subscriber perceptions have a causal relationship with IPTV subscriptions.

Balanced improvement of the IPTV value chain, from content to technical (platform, network, and terminal) perspectives, are necessary for IPTV diffusion. Also, IPTV providers should establish the diffusion strategies, minimizing the user-perceived restrictiveness as well as maximizing the PU.

This study shows computer assisted assessment of video quality can be applied to behavior science. The research model suggests PR, which has been relatively unnoticed is included in existing technology acceptance theories. The introduced antecedents of IPTV subscriptions can be referred to as key performance indicators regarding new media adoption studies.

The purpose of this paper is to develop a research model examining users' perceived value of a location-based social networking service (LB-SNS) through hedonic, utilitarian, and social values. This study investigates the impact for each type of perceived value on user satisfaction, behavioural intention to use, and word-of-mouth for LB-SNS.

Data were collected from 172 Korean smartphone users with experience using LB-SNS. This study employed PLS to test the proposed model and corresponding hypotheses.

A positive influence exists for each type of perceived value on satisfaction with hedonic value having the strongest relationship. Hedonic value is positively correlated with behavioural intention to use LB-SNS and positive word-of-mouth while social value affects positive word-of-mouth. Utilitarian value did not influence either behavioural intention to use LB-SNS or positive word-of-mouth. User satisfaction has a significant influence on both behavioural intention to use LB-SNS and positive word-of-mouth.

This study is at the forefront of research focused on LB-SNS adoption, extending beyond the utilitarian-hedonic value dichotomy to include a social dimension. This study confirmed that perceived value is an antecedent of satisfaction, which leads to behavioural intentions.

The advantages and benefits of LB-SNS should be emphasised to increase users' perceived value. LB-SNS providers can improve user satisfaction by increasing the hedonic, utilitarian, and social value of their services. Organisations should seek out and explore the possibilities of marketing campaigns through LB-SNS.

This study is the first empirical study examining user acceptance of LB-SNS incorporating users' perceived value satisfaction and behavioural intentions

This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables.

The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters.

PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA.

For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2.

Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations.

The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed.

This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.