PATIENTS’ ACCEPTANCE AND RESISTANCE TOWARD THE HEALTH CLOUD: AN INTEGRATION OF TECHNOLOGY ACCEPTANCE AND STATUS QUO BIAS PERSPECTIVES

The latest technological trends such as health cloud provide a strong infrastructure and offer a true enabler for healthcare services over the Internet. Despite its great potential, there are gaps in our understanding of how users evaluate change related to the health cloud and decide to resist it. According to the technology acceptance and status quo bias perspectives, this study develops an integrated model to explain patients’ intention to use and resistance to health cloud services. A field survey was conducted in Taiwan to collect data from patients. The structural equation model was used to examine the data. The results showed that patient resistance to use was caused by inertia, perceived value, and transition costs. Perceived usefulness (PU) and perceived ease of use (PEOU) have positive and direct effects on behavioral intention to use, and PEOU appears to have a positive direct effect on PU. The results also indicated that the relationship between intention to use and resistance to use had a significant negative effect. Our study illustrates the importance of incorporating user resistance in technology acceptance studies in general and health technology usage studies in particular, grounds for a resistance model of resistance that can serve as the starting point for future research in this relatively unexplored yet potentially fertile area of research

Use of Clouds-Based Regional Management Systems : Dual Factor Theory Approach

The purpose of this research is to investigate the enablers and inhibitors include dual factor theory of clouds based regional information system usage. This research took samples of financial employees who worked in the Regional Apparatus Organizations (OPD) in Jember Regency consisting of 200 respondents, used a survey method and primary data. The sample selection technique in this study uses purposive sampling, data analysis uses multiple regression. The results show, the first problem of IT infrastructure has a negative effect on the use of cloud-based regional management information systems. Secondly, the problem of human resource competency has a negative effect on the use of cloud-based regional management information systems. Third, perceived usefulness has a positive effect on the use of cloud-based regional management information systems. Fourth, perceived ease of use has a positive effect on the use of cloud-based regional management information systems

Perceived creepiness in response to smart home assistants: A multi-method study

Smart home assistants (SHAs) have gained a foothold in many households. Although SHAs have many beneficial capabilities, they also have characteristics that are colloquially described as creepy – a fact that may deter potential users from adopting and utilizing them. Previous research has examined SHAs neither from the perspective of resistance nor the perspective of creepiness. The present research addresses this gap and adopts a multi-method research design with four sequential studies. Study 1 serves as a pre-study and provides initial exploratory insights into the concept of creepiness in the context of SHAs. Study 2 focuses on developing a measurement instrument to assess perceived creepiness. Study 3 uses an online experiment to test the nomological validity of the construct of creepiness in a larger conceptual model. Study 4 further elucidates the underlying behavioral dynamics using focus group analysis. The findings contribute to the literature on the dark side of smart technology by analyzing the triggers and mechanisms underlying perceived creepiness as a novel inhibitor to SHAs. In addition, this study provides actionable design recommendations that allow practitioners to mitigate end users’ potential perceptions of creepiness associated with SHAs and similar smart technologies

Patients’ Resistance towards Health Information Technology A Perspective of the Dual Factor Model of IT Usage

This 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

Physician’s Use of Mandatory Information Systems: An Exploratory Research in German Hospitals

Physician´s use of information systems remains a highly interesting area for information systems research to the recent days. Numerous studies have been conducted to investigate the enablers and inhibitors of such use. However, no study has yet provided comprehensive insights. To advance efforts in this field, this research takes a step back and investigates the issue in an exploratory research layout. 47 informants provided input accompanied by more than 40 hours of workplace shadowing in two German hospitals. \ \ Our findings show that focusing only on physicians does not help to answer the question. The root causes for successful system deployment are a combined approach to focus not only on the user but also on the process and the system. The three factors influence each other. Our findings also underline the importance of leadership and organizational setting.

Adopting AI-Enabled Technology: Taking the Bad with the Good

From autonomous vehicles to smart home assistants and telemedicine, artificial intelligence (AI) enabled technologies are increasingly available in the market. Consumers are saddled between the benefits and the risks of these new technologies, yet research has seldom accounted for both facilitators and inhibitors of AI-enabled technology adoption. We introduce a theoretical model that includes both facilitators and inhibitors of AI-enabled technologies, which we test using structural equation modeling with a cross sectional survey of U.S. consumers across three AI categories: autonomous vehicles for robotic AI, smart home assistants for virtual AI, and telemedicine for embedded AI. We also include in the model the role of brand trust. We find that perceived uncertainty, loss of control, and privacy risk inhibit intention to use AI-enabled technologies by reducing perceptions of convenience, customization, and efficiency, so facilitators mediate the relationship between inhibitors and intention to use. We also find that brand trust contributes to intention to use by positively affecting facilitators and negatively affecting inhibitors. Finally, we ran the classic Technology Acceptance Model and found that our proposed model is a better fit to predict intention to use AI-enabled technologies

Benefits realization from IS/IT investments - a perspective from ERP systems

Delivery of benefits from many ERP systems remains disappointingly low. The high investment in ERP systems means that realizing benefits from these implementations is of critical importance to many organizations. Thus, the main aim this research is to develop insights that can help organizations to improve benefits realization from ERP systems. In doing so, this study is not only evaluating the benefits gained by different organizations, but it is also analysing the key activities that are deemed necessary for benefits realization. This research was conducted in two phases to explore the research objectives. The initial phase was conducted with a selection of stakeholders working in the ERP industry to gather insights concerning the adoption of benefits management approaches and the relationship between ERP customization and benefits realization. The second phase comprised of three in-depth case studies that investigated the activities that were necessary to realize benefits from ERP projects. The research provides a number of important contributions to the academic literature. With respect to the adoption of benefits management (BM) approaches, this research contributes by providing empirical insights about what organizations are actually doing to manage benefits. More specifically, the study provides evidence to suggest that organizations have an increased chance of realizing benefits if they develop localized BM approaches based on organizational needs and context. This study also highlights the role of organisational change in facilitating the realisation of business benefits, in the context of ERP projects. Another important contribution is an attempt in establishing of relationship between different types of customizations and the resultant benefits. The study also contributes by indicating that organizations, in the very particular context of ERP projects, can identify the additional un-planned benefits during the use of the system. This study makes another important new contribution to the literature, by demonstrating the importance of tackling any organizational inhibitors in order to realize maximum benefits at various stages of ERP systems life cycle. Finally, with respect to the evaluation of ERP systems, this research contributes by providing interpretive evaluation of operational ERP systems to explore the process of how benefits were realised, in the participating organizations. It is envisaged that interpretive evaluation will fuel the insights that will maximize the attaining of benefits from ERP implementations

Exploring Consumers’ Discontinuance Intention of Remote Mobile Payments during Post-Adoption Usage: An Empirical Study

Despite being critical to continuous technology usage, research on remote mobile payments (m-payments) post-adoption usage has received much less attention. Furthermore, information systems usage research has traditionally been positively oriented, generally assuming that the inhibiting and enabling factors influencing technology usage as being the opposite sides of one dimension, which may result in overlooking antecedents to technology continuance. Therefore, this study aims to explore the inhibiting factors that may directly influence customers’ intention to discontinue m-payments during post-adoption usage. Drawing on behavioral theories, information systems and marketing research this study explores the inhibiting factors directly influencing consumers’ intentions to discontinue using m-payments. Survey data was collected from 254 current users in the UK and PLS-SEM technique is employed to test hypotheses. The results show that poor quality of system, information, and service, as usage inhibitors, directly influence consumers’ discontinuance intentions. Importantly, usage frequency is found to have no moderating effect on the inhibitors of continuance intention, supporting the notion about different and asymmetric effects that negative factors can have on technology usage compared to positive ones. This interesting finding suggests that negative user experience will have different and asymmetric effects on intentions to use m-payments than positive user experience

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

An exploration of the role of information systems in developing strategic growth in small and medium-sized enterprises

This submission demonstrates that the attached papers and book represent a significant contribution to knowledge in the field of information systems (IS) with a particular focus on small and medium sized enterprises. The theme throughout the publications is consistent: identifying strategic opportunities from information systems for small and medium sized enterprises (SMEs). This document presents the papers and evaluates their contribution. The papers and a copy of the book are included with this document. The papers and book demonstrate the research contribution in four ways. The first contribution is to IS strategy knowledge, where the research has identified that IS analytical models that depend on IS department-business relationships are not useful in the SME context. Additionally, the research identifies those IS models that can be used in all organisational contexts to analyse strategic management information systems requirements. Second, the research demonstrates IS concepts developed in the large firm context such as evaluation, flexibility and knowledge sharing may only have limited applicability in SMEs. Third, the research contributes by developing a new model, the Focus-Dominance model that provides insights into analysing opportunities for strategic IS investment in SMEs. The final research contribution identifies issues that influence SME growth from internet adoption and e-business opportunities. The papers represent development of the research theme over the last 13 years. The main themes of the papers are information systems strategy; exploring IS issues in the 2 SME context; strategic context of IS investment in SMEs and internet adoption and strategy in SMEs. The twelve papers and book represent a subset of the author‟s publications. These have been selected as they show the main contribution to knowledge. The book demonstrates a research led approach to understanding the information systems issues that can influence SME growth. It is the first book that has been written on this topic and provides a useful source for the growing number of researchers in the field. The submission is organised as follows. A brief discussion is included on the reasons why SMEs behave differently from large firms and what this means for information systems. The next section presents the papers. These explore the validity of IS concepts in the SME context. Following on from this the submission considers the drivers and enablers of IS investment in SMEs. Finally the development of new theories in analysing strategic IS investment is discussed. Within the discussion the significance of the contribution, and the role played by co-authors is highlighted. The final section reflects upon the research contribution, methodology, research impact and current and future research. Table 1 presents the list of papers for submission with a brief summary of their contribution. Appendix 1 includes the written statements by collaborators of joint papers. Appendix 2 presents the author‟s contribution to the submitted papers. Appendix 3 presents the known citations for papers included in the submission. Appendix 4 presents the author‟s full publication list