Effects of user experience on user resistance to change to the voice user interface of an in‑vehicle infotainment system: Implications for platform and standards competition

This study examines the effects of user experience on user resistance to change—particularly, on the relationship between user resistance to change and its antecedents (i.e. switching costs and perceived value) in the context of the voice user interface of an in-vehicle infotainment (IVI) system. This research offers several salient findings. First, it shows that user experience positively moderates the relationship between uncertainty costs (one type of switching cost) and user resistance. It also negatively moderates the association between perceived value and user resistance. Second, the research test results demonstrate that users with a high degree of prior experience with the voice user interface of other smart devices exhibit low user resistance to change to the voice user interface in an IVI system. Third, we show that three types of switching costs (transition costs, in particular) may directly influence users to resist a change to the voice user interface. Fourth, our test results empirically demonstrate that both switching costs and perceived value affect user resistance to change in the context of an IVI system, which differs from the traditional IS research setting (i.e. enterprise systems). These findings may guide not only platform leaders in designing user interfaces, user experiences, and marketing strategies, but also firms that want to defend themselves from platform envelopment while devising defensive strategies in platform and standards competition

Modeling inertia causatives:validating in the password manager adoption context

Cyber criminals are benefiting from the fact that people do not take the required precautions to protect their devices and communications. It is the equivalent of leaving their home’s front door unlocked and unguarded, something no one would do. Many efforts are made by governments and other bodies to raise awareness, but this often seems to fall on deaf ears. People seem to resist changing their existing cyber security practices: they demonstrate inertia. Here, we propose a model and instrument for investigating the factors that contribute towards this phenomenon

The influence of change-related stress on user resistance when an enterprise system is implemented: a longitudinal field study

When an enterprise system is implemented employees often respond with user resistance behavior. As employees’ work environment are changed significantly they also experience stress during an implementation. However, neither technostress nor user resistance research have focused on the stress related to the change induced by an enterprise system implementation. Hence, it is not known how change-related stress results in user resistance behavior and thus prevents organizations from managing the implementation process sufficiently. Therefore, we provide a research model that theorizes the influence of change characteristics, such as change complexity, switching costs and switching benefits, on change-related work overload and role ambiguity as change stressors, which in turn determines employees change-induced exhaustion. When this exhaustion is perceived as a threat user resistance behavior will occur. Using a longitudinal field study with 273 employees during an enterprise system implementation we provide empirical evidence for the proposed model

Switching to Electronic Health Record Systems: A Replication of the User Resistance Model

The purpose of this conceptual replication study is to understand the resistance construct of the User Resistance Model (URM) in the context of Health Information Technology (HIT) at an international healthcare organization. Specifically, we studied resistance towards Electronic Health Record systems (EHR). For this, the original scale items were adapted to the new context, and the model was tested with the data collected from 226 employees who work with an EHR system at a large public hospital in Amman, Jordan. Overall, the results support six of the eleven posited hypotheses. One hypothesis was contradicted, and the remaining four hypotheses were not supported. Moreover, the model fit statistics suggested that the current URM does not have a good fit. This indicates that the URM in the new context needs further investigation. We first discuss the hypotheses that are not supported or contradicted and then begin to suggest refinements to the model in an effort to improve its fit

Status Quo Bias in Users’ Information Systems (IS) Adoption and Continuance Intentions: A Literature Review and Framework

Information systems (IS) adoption and continuance intentions of users have a dominant effect on digital transformation in organisations. However, organisations undergoing digital transformation face substantial barriers due to user resistance to IS implementations. Status quo bias (SQB) plays a vital role in users’ decision-making regarding adopting new IS or continuing to use existing IS. Despite recent research to validate the effects of SQB on user resistance to IS implementations, how SQB affects the IS adoption and continuance intentions of users remain poorly understood, making it harder to develop ways of successfully dealing with it. To address the gap, we performed a systematic literature review on SQB in IS research. Our proposed framework incorporates the psychological phenomena promoting the status quo, SQB theory constructs, levels of SQB influence, and factors reducing the user resistance to IS implementations to enhance the understanding of IS adoption and continuance intentions

Adoption Management: A Review of the Benefits Management and the Adoption Literature

The adoption of Information Systems (IS) has been, and is predicted to remain, one of the key topics for IS research and practice. Despite the extensive and rich insights provided across IS literature streams, there remains a significant amount of IS implementation projects that struggle with adoption and benefits realization. This paper argues that a knowledge gap exists because research has paid little attention to the definition, manifestations, and effects of adoption management. The article proposes a definition and reviews findings related to adoption management at the cross-section of the adoption and benefits management literatures. The article answers the research questions: What findings on managing adoption do the adoption and the benefits management literature provide? How do the adoption and the benefits management literatures differ in their examination of managing adoption? What limitations in relation to managing adoption are identified when combining adoption literature and benefits management literature? Through a systematic literature review, the findings show that adoption management is constructed across the two literature streams as practices, tools, and supportive contexts. While some articles treat adoption management in their core sections, many focus on adoption management as an after-thought in the discussion section, and none of the articles explicitly labels it adoption management. We discuss these and other gaps and provide avenues for future research

The moderating influence of device characteristics and usage on user acceptance of smart mobile devices

This study seeks to develop a comprehensive model of consumer acceptance in the context of Smart Mobile Device (SMDs). This paper proposes an adaptation of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) model that can be employed to explain and predict the acceptance of SMDs. Also included in the model are a number of external and new moderating variables that can be used to explain user intentions and subsequent usage behaviour. The model holds that Activity-based Usage and Device Characteristics are posited to moderate the impact of the constructs empirically validated in the UTAUT2 model. Through an important cluster of antecedents the proposed model aims to enhance our understanding of consumer motivations for using SMDs and aid efforts to promote the adoption and diffusion of these devices

MANAGING USER RESISTANCE TO OPEN SOURCE MIGRATION

A large amount of resources and effort have been devoted to the development of open source software like Linux. The development of Linux as the most well-known open source software with graphical user interface and useful functionalities is expected to result in the high level of Linux adoption by individual users based on the technology adoption model. However, Linux has about one percent of the operating systems market for personal computers. User resistance to switch remains one of the major obstacles in any successful open source migration. Based on the integration of equity implementation model and technology adoption model, this study examines how users form their resistance and the effect of user resistance on the adoption of Linux by individual users for their personal computers. The findings show that the adoption intention is negatively influenced by user resistance to switch. This study discusses the role and effect of user resistance to switch based on the equity implementation model in comparison with the two main determinants of technology adoption. This study contributes toward advancing theoretical understanding of OSS migration and user resistance. The findings also offer OSS community and practitioners suggestion for promoting the use of OSS by individual users

Reasoning about Discontinuance of Information System Use

While many studies have explored conditions and consequences of information systems adoption and use, few have focused on the final stages of the information system lifecycle. In this paper, I develop a theoretical and an initial empirical contribution to understanding individuals’ intentions to discontinue the use of an information system. This understanding is important because it yields implications about maintenance, retirement, and users’ switching decisions, which ultimately can affect work performance, system effectiveness, and return on technology investments. In this paper, I offer a new conceptualization of factors determining users’ intentions to discontinue the use of information systems. I then report on a preliminary empirical test of the model using data from a field study of information system users in a promotional planning routine in a large retail organization. Results from the empirical analysis provide first empirical support for the theoretical model. I discuss the work’s implications for theory on information systems continuance and dual-factor logic in information system use. I also provide suggestions for managers dealing with cessation of information systems and broader work routine change in organizations due to information system end-of-life decisions

CIO herds and user gangs in the adoption of open source software

Open Source Software (OSS) has received wide attention from the research community, analyzing both the innovation process of software development by distributed and unrelated teams, and the market dynamics at play between "free" and proprietary software. Up until now, OSS adoption has been irregular, although it seems to be breaking the dominance of existing players in some market segments. In this paper, we contend that due to the particularities of its development process, traditional ways of explaining IT adoption -rational decision making, technology diffusion models, and the psychology of the decision maker- are insufficient to explain the case of OSS diffusion. We believe that the existence of a strong and diffused development community leads to a new role of the user community, as both are intertwined. In addition, new concerns for social corporate responsibility and welfare create a new context, in which "user gangs" may exert some degrees of pressure on the IT decision maker. By analyzing some significant cases we depict under what conditions significant OSS adoption may unfold, showing that in two of the cases studied user gangs play a significant role. The resulting preliminary framework will inform future work, in which we aim at validating the emerging insights gained in this research.Open source software; IT adoption; user communities; CIO herding;