24 research outputs found
Revisiting Technology Resistance: Current Insights and Future Directions
No full textNuance conceptualization of technology resistance is needed due to the different conceptualizations that exist in the extant literature. This paper calls for information systems (IS) researchers to begin exploring technology resistance using novel perspectives. The paper also provides a guideline for conceptualizing technology resistance away from the common existing conceptualization that is shaped through theories of adoption and resistance-to-change. The goal is to encourage future research to conceptualize technology resistance beyond the typical findings available in the literature and provide more insights in light of the provided arguments and suggestions
Patients’ Resistance towards Health Information Technology A Perspective of the Dual Factor Model of IT Usage
No full textThis paper presents a research model of patients’ resistance towards Health Information Technology (HIT). In particularly it examines patients’ reactions towards a new Patient Portal System (PPS). This work provides an integration of the technology acceptance and resistance to change literatures. The Resistance to Change construct from the User Resistance Model (URM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are bridged using the dual-factor model of technology usage. This model explains the asymmetric effects of use inhibitors such as Resistance to Change on use enablers such as Performance Expectancy and Effort Expectancy. The integrative model is empirically supported using survey data collected from patients of a large public international hospital. Total of 265 valid responses were used for the data analysis. This study highlights the importance of integrating resistance to change with the technology use research especially in healthcare settings that is considered to be under researched. Moreover, it is considered to be one of the first studies in IS that brings in patients’ perspectives of new HIT
Why Do People Resist Healthcare IT? Literature Analysis, Model Testing, and Refinement.
No full textThesis (Ph.D.), Information Systems, Washington State UniversityHealth Information Technology (HIT) has the potential of improving the overall performance of healthcare organizations. However, there are worldwide evidence of HIT resistance and avoidance behaviors. IS researchers have provided valuable insights about these behaviors towards IT in general. Very limited work has aimed to explain these behaviors in healthcare settings and especially towards Electronic Health Record (EHR) systems. In this dissertation, we investigate the resistance and avoidance behaviors in the context of a hospital, specifically having the EHR system as the focal technology for my study. Overall, the dissertation is comprised of five chapters and subscribes to a mixed-methods approach. The first chapter will provide an extensive review the literature to highlight the current status of research on technology resistance and the main research gaps. In the second chapter, we empirically validate the User Resistance Model (Kim and Kankanhalli, 2009). We aim to explain the healthcare providers’ resistance to change from the paper-based recording system to the new EHR system. Based on an analysis of survey data from healthcare providers, we investigate the effects of the key determinants from URM on EHR resistance. The third chapter is a qualitative research in which we collect responses from healthcare providers using open-ended questions. We use the Reasoned Causal Mapping (RCM) methodology to uncover the main predictors of EHR resistance and the key concepts shaping those predictors. In the fourth chapter, we aim to explain the EHR avoidance behaviors after the implementation of the system is complete and has been enforced to all users. We adopt the Technology Threat Avoidance Theory (TTAT) (Liang and Xue, 2009) and empirically test the complete proposed conceptual model. Based on an analysis of survey data from healthcare providers, we investigate the effects of perceived threats and perceived avoidability on avoidance motivations, and the direct effects of avoidance motivation on avoidance behavior. In the fifth chapter, we use RCM to reveal the main constructs impacting EHR avoidance as well as the key concepts forming these constructs. We analyze qualitative data collected from healthcare providers using open-ended questions. Contributions to research and practice are discussed within each chapter.Washington State University, Information System
Security behaviors of healthcare providers using HIT outside of work: A technology threat avoidance perspective
No full textCan cyber risk management insurance mitigate healthcare providers’ intentions to resist electronic medical records?
No full textWhy Do People Resist Patient Portal Systems?
No full textThe implementation of patient portal systems (PPS) has potential benefits to both healthcare providers and their patients. However, evidence shows that PPS are being resisted by patients. Little research in IS has addressed this phenomenon. To understand PPS resistance, this study uses the dual factor model of IT usage to develop an integration of the user resistance model (URM) with the universal theory of acceptance and use of technology (UTAUT). Survey data were used to test the integrative model. A total of 265 responses were gathered from patients at a large international hospital. The data were analyzed using structural equation modeling (EQM). The results revealed resistance to change as an inhibitor to intentions to use the PPS. This study demonstrated the importance of integrating resistance to change with the technology use research, especially in healthcare settings. Moreover, this study is considered to be among the few studies in IS to incorporate patients' perspectives regarding new healthcare technology.</jats:p
Why Do People Resist Patient Portal Systems?
No full textThe implementation of patient portal systems (PPS) has potential benefits to both healthcare providers and their patients. However, evidence shows that PPS are being resisted by patients. Little research in IS has addressed this phenomenon. To understand PPS resistance, this study uses the dual factor model of IT usage to develop an integration of the user resistance model (URM) with the universal theory of acceptance and use of technology (UTAUT). Survey data were used to test the integrative model. A total of 265 responses were gathered from patients at a large international hospital. The data were analyzed using structural equation modeling (EQM). The results revealed resistance to change as an inhibitor to intentions to use the PPS. This study demonstrated the importance of integrating resistance to change with the technology use research, especially in healthcare settings. Moreover, this study is considered to be among the few studies in IS to incorporate patients' perspectives regarding new healthcare technology.</jats:p
Self-Diagnosis Mobile Applications A Technology Trust Perspective
No full textThere are many attempts at creating self-diagnosis apps that can potentially replace visiting doctors for at least the primary care conditions. However, the literature suggests that users are hesitant to fully trust the diagnosis results of these apps. Additionally, healthcare professionals constantly discourage patients from using mobile apps for health-related purposes. This study views the phenomenon using a technology trust perspective. It is argued that when users trust the technology, they begin to immerse more into adoption behaviors. The study is underpinned by the technology trust model theory, and provides empirical evidence demonstrating factors shaping trust and its potential consequences. The study collects data from users of a well-recognized self-diagnosis app and then performs SEM analyses on the data. Results suggest that trust can be shaped by perceptions of reliability, functionality, helpfulness, and social influence. Additionally, potential consequences of technology trust are the diagnostic satisfaction and the continuance intention
Can Information Security Awarness Mitigate Resistance Towards Patients Healthcare Portals?
No full textResistance behaviors toward newly implemented technology are generally predicted by the perceptions of threats associated with the use of the technology. Recent studies of resistance towards Health Information Technology (HIT) revealed users describing the fear of losing private data due to potential cyber-attacks as an important perceived threat. This study is underpinned by concepts of the information security policy compliance theory. It aims to investigate the impact information security awareness can have on mitigating HIT resistance. Precisely, it evaluates patient’s behavior towards a new Patient Portal System (PPS) after enforcing a new cyber risk management insurance policy. This work contributes to the underdeveloped area of research concerned with patients’ interactions with HIT, as well as to practice by providing important insights about the impact of information security awareness on mitigating patients’ threats from the PPS
