Fashionable Technology, Fashion Waves, and Post-Adoption Regret and Satisfaction

This research attempts to understand user adoption of fashionable technologies (e.g., iPhone or iPad) and the influence of fashion waves on adopters of both fashionable and non-fashionable technologies. A research model was developed based on the regret theory. We tested the model by examining 20,122 customer reviews collected from Amazon.com. A theory-driven naïve Bayes classifier was developed to analyze the regret elements of customer reviews automatically. The data largely supported the research model. Specifically, we found that adopters of non-fashionable phones experience higher levels of regret and lower satisfaction during the fashion wave, i.e., when a new fashionable phone was released. In contrast, adopters of earlier editions of fashionable phones welcomed the new fashionable phone, displaying lower levels of regret and higher satisfaction during the fashion wave period. The findings have significant implications for information systems research and practices

Why Do People Chase Fashionable Technologies? Toward a Systematic Understanding of IT Fashion Diffusion and Adoption of Fashionable IT

Fashion is a ubiquitous social phenomenon. People chase after fashionable clothes, furniture and jewelry for reasons beyond utilitarian benefits. Many people did not associate information technologies with fashion for a long time. Nevertheless, as consumer technologies become increasingly smaller and more portable, they can be carried around as body accessories that bear social meanings. The fashion elements have begun to exert tremendous influence on consumers’ behaviors and companies’ successes. The advent of fashionable technologies necessitates thorough research on IT fashion. This dissertation aims to provide a systematic understanding of fashionable technologies. It first elucidates the process of IT fashion diffusion based on extant fashion theories and the unique characteristics of fashionable technologies. Then it investigates the reasons why people adopt fashionable technologies by identifying the core characteristics of fashionable technologies perceived by adopters and explicating how these perceived characteristics affect people’s behavioral beliefs of using the technologies. To empirically test the research model, 256 responses were collected by hiring a professional survey company Qualtrics. The results support most of the hypotheses. The current dissertation lays the foundation for future IT fashion research and potentially breaks new theoretical grounds for the IS field

Understanding Post-Adoption Regret from the Perspectives of Herding and Mindfulness

In the era of multiple technologies, people may herd in technology adoption to save costs. However, they may regret for not choosing a foregone technology later although they are satisfied with the chosen technology. The extant continuance studies have extensively studied how users evaluate the focal technology after adoption, but somewhat overlooking users’ considerations on foregone technologies. In this study, we introduce the notion of post-adoption regret, which considers both the chosen and foregone technologies. We develop a research model based on the literature on regret, herd behavior, and mindfulness. The model depicts how herd behavior induces regret and how regret affects user satisfaction, as well as the subsequent continuance and switching intention. As a remedy for such regret resulting from herding, mindfulness of technology adoption is proposed as a legitimate strategy for technology adoption in parallel with herd in technology adoption. We tested our model through a longitudinal study

Satisfaction to stay, regret to switch : understanding postadoption regret in choosing competing technologies when herding

Faced with uncertainty when choosing among a wide range of similar competing technologies, users often take a herding in technology adoption (HTA) strategy to make heuristic adoption decisions. The HTA strategy brings users cost and time savings and also casts doubt on user staying power. The extant adoption research has long focused on user satisfaction with the performance of the chosen technology (also known as the EDT perspective), but does not sufficiently account for the consideration of the decision process across competing alternatives. To fill this void, this research employs a holistic post-adoptive evaluation by introducing a regret perspective in relation to competing technologies. Specifically, we theorize and operationalize a new multi-dimensional construct of post-adoption regret and construct a research model to examine how HTA leads to post-adoption regret and how such regret influences user staying power. The results suggest: Post-adoption regret is formed primarily through two routes, outcome and process; and it is found to be more related to user switching while satisfaction is related to user retention. The research model is supported by two longitudinal field studies of users in Asia and Europe who chose between competing technologies in both forms of free software and paid hardware. Findings from this research have significant implications for IS research as well as industry practice

The determinants for continuance intention in mobile fitness apps adopting a gamification approach

The goal of this study is to find the determinants which explain the continuance intention of fitness apps adopting a gamification approach. An online questionnaire was conducted in which gamified fitness app users (n=110) were interrogated about their opinions on fitness apps and continuance intention. The results of the factor analysis and the multiple linear regression analysis showed that four factors directly influence continuance intention – habit, perceived enjoyment, attitude, and perceived ease of use. Moreover, habit mediates the relationship between attitude and continuance intention, as well as the relationship between perceived enjoyment and continuance intention. Perceived ease of use mediates the relationship between perceived enjoyment and continuance intention. Post-adoption regret and user engagement were not detected to significantly explain continuance intention. Consequently, researchers can adopt these variables and mediators. For practitioners the findings indicate that product development should focus on enjoyment of fitness apps to increase continuance intention and perceived ease of use. Habit is a relevant determinant for continuance intention, so the triggers need to be explored which habituate usage. Positive attitudes are crucial in the development of continuance intentions. Attitudes support habit forming and the ease of use. Therefore, practitioners must understand how the attitudes of their targets are formed and how they can influence this process. For future studies, the game elements of fitness apps could be analysed to understand which have the biggest impact on continuance intention. The mediators could also be tested in other gamified app environments, like travel or finance.O estudo visa encontrar que fatores explicam a intenção de continuidade de uso dos aplicativos fitness que adotam o jogo. Para tal, um questionário foi submetido via-online a utilizadores desses (n=110), perguntando-lhes a opinião sobre a adequabilidade dos aplicativos e a sua intenção de continuar a usar. Os resultados da análise fatorial e da regressão linear múltipla mostraram que quatro fatores influenciam diretamente a intenção de continuidade: hábito, atitude, perceção da satisfação e da facilidade de utilização. Identificou-se a mediação do hábito na relação entre atitude e intenção de continuidade no uso, bem como na relação entre satisfação e a intenção de continuidade. A facilidade de uso medeia a relação entre satisfação e intenção de continuar uso. O arrependimento pósadoção e a motivação do utilizador não se revelaram significativos da intenção de continuidade no uso. O desenvolvimento do produto deve focar-se na satisfação com estes aplicativos, pois aumenta a intenção de continuidade e a perceção de facilidade de utilização. As atitudes apoiam a formação do hábito e a facilidade de utilização. Assim, os profissionais devem compreender como se formam as atitudes e como podem influenciar o processo de design do aplicativo. Atitudes positivas são cruciais no desenvolvimento de intenções de continuidade, ajudando na formação de hábito e na facilidade de utilização. Para estudos futuros, os elementos de jogo devem ser analisados para compreender quais têm maior impacto na intenção de continuidade, bem como o efeito mediador ser testado em outras categorias de aplicativos, como os de viagens ou finanças

Consumer resistance to innovation among public universities' students in Pakistan

Implementations of technological innovations have been playing key roles for firms to grow and survive in the long run particularly in a dynamic and complex market and unstable economic conditions. The success of any innovation in the market which highly depends on consumers could be one of the potential factors behind the failure of the innovation. Research on innovation resistance is still in infancy and effort to describe the resistance as well as understanding the consumers’ resistance to innovation still require in-depth investigations including the context of resistance to innovation. As a response to this problem, this study examines the consumers’ resistance to innovation through measuring the resistance to smartphones. This study is grounded by the resistance to innovation and appraisal theories. In the research framework, this study includes consumers’ characteristics (motivation, self-efficacy, emotion (negative), and attitude towards existing product) and innovation characteristics (relative advantage, perceived risk, complexity, social influence, and price). A cross sectional, survey data was gathered from 307 university students of four public universities in Pakistan via self-administered survey questionnaires. They were statistically tested using PLS (SEM) path modeling. The results demonstrate the concept of consumers’ resistance to innovation in the context of Pakistan. The results also reveal that majority of the main consumers’ and innovation characteristics (complexity, emotion (negative), motivation, price, self-efficacy, social influence, and consumers’ innovativeness (moderator) have significant influence on consumers’ resistance to smartphone. However, three consumers’ and innovation characteristics (relative advantage, perceived risk, and attitude towards existing product) are insignificant with consumers’ resistance to innovation. The significant factors are good predictors of consumers’ resistance to innovation. Based on the findings of the study, the theoretical and practical contributions are described. The limitations of the study are discussed and suggestions for future studies are also deliberately addressed