1,720,966 research outputs found
Why Do People Resist Healthcare IT? Literature Analysis, Model Testing, and Refinement.
Get PDFThesis (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
Self-Diagnosis Mobile Applications A Technology Trust Perspective
Get PDFThere 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?
Get PDFResistance 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
Revisiting Technology Resistance: Current Insights and Future Directions
Get PDFNuance 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
Get PDFThis 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
Switching to Electronic Health Record Systems: A Replication of the User Resistance Model
Get PDFThe 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
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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