The Influence of Resistance to Change on Public-Sector Reform Implementation: The Case of Italian Municipalities’ Internal Control System

Reginato, Elisabetta; Fadda, Isabella; Paglietti, Paola

doi:10.1080/01900692.2015.1068325

Cited by 25 publications

(19 citation statements)

References 35 publications

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“…Oliver [101] defines RTC as protection of the status quo via individuals creating resistance against the innovative system. Every innovative system is commonly a source of panic and bears RTC due to its perception as a possible threat to the solidity of old habits [43,101]. To avoid RTC in organizations when implementing new systems or ways of working, Oreg [102] proposed that the organization should encourage employees to learn new skills, tasks, and programs.…”

Section: The Moderating Role Of Resistance To Changementioning

confidence: 99%

“…Lallmahomed et al [33] investigated the adoption behavior of an e-government system by focusing on RTC and established a significant negative relationship between RTC and adoption of the system. Many other researchers also proved the importance and negative associations of RTC with acceptance of information and communication technology systems [42,43,108]. A study of green supply chain management (GSCM) adoption [41] investigated RTC as a moderator between BIs and adoption of GSCM and concluded that higher RTC among employees would lead to non-implementation of GSCM.…”

Section: The Moderating Role Of Resistance To Changementioning

confidence: 99%

“…Prior studies by Malaka, Shin, and Sivarajah [23,39,40] also highlighted that perceived security and perceived trust were the biggest challenges and hurdles for BDA acceptance. Resistance to change (RTC) from employees is also a key factor that affects the adoption of different innovative systems, especially in developing countries [41][42][43]. In previous literature concerning electronic health record system adoption, RTC from physicians was repeatedly reported as a key barrier for system adoption [44,45], and RTC of employees mitigated the willingness of those who wanted to adopt the system [46].…”

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Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

et al. 2019

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IntroductionBig data analytics (BDA) is a course of action to examine large and complex data sets (i.e., big data) and select veiled information that can help organizations with efficient decision making [1]. The volume of data related to healthcare organizations has grown dramatically in past years and is expected to increase in coming years due to the use of innovative technologies [2]. Meanwhile, healthcare reimbursement methods are changing, and pay for performance is an emerging factor in the current healthcare environment. Recently, healthcare organizations have only focused on profit and have neglected to acquire the essential tools, infrastructure, and technologies for effective control of big data to ensure citizens' health care [3,4]. Big data incorporates features such as variety, velocity, and veracity. BDA techniques can be applied to the massive amount of prevailing patient-related medical information to analyze outcomes for improvement of the healthcare sector [5,6]. Using BDA in the healthcare sector will help inform each physician of the medical histories of individuals and the population and enable appropriate Abstract Big data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. Therefore, this study explored the adoption mechanism of big data analytics in healthcare organizations to inspect elements correlated to behavioral intention using the technology acceptance model and task-technology fit paradigm. Using a survey questionnaire, we analyzed 224 valid responses in AMOS v21 to test the hypotheses. Our results posit that the credentials of the technology acceptance model together with task-technology fit contribute substantially to the enhancement of behavioral intentions to use the big data analytics system in healthcare, ultimately leading towards actual use. Meanwhile, trust in and security of the information system also positively influenced the behavioral intention for use. Employee resistance to change is a key factor underlying failure of the innovative system in organizations and has been proven in this study to negatively moderate the relationship between intention to use and actual use of big data analytics in healthcare. Our results can be implemented by healthcare organizations to develop an understanding of the implementation of big data analytics and to promote psychological empowerment of employees to accept this innovative system. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Section: The Moderating Role Of Resistance To Changementioning

confidence: 99%

Section: The Moderating Role Of Resistance To Changementioning

confidence: 99%

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confidence: 99%

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Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

et al. 2019

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“…e study of Abbas Pakdel [31] highlighted the fact that in most cases RTC only created from the female side, so to establish the original picture of the RTC, the influence of gender difference regarding RTC should be studied. erefore, this study integrated the moderating role of RTC as well as the impact of gender in the adoption of BDA in healthcare organizations in developing countries from the employee's perspective, which has not been discussed by scholars.…”

Section: Complexitymentioning

confidence: 99%

“…In this study, RTC can be defined as the resistance of healthcare organization employees against the change of switching the old healthcare system to BDA to protect their comfort zones. Employees always create RTC in the implementation of the new innovative system because it contradicts with the old habits and comfort zones of employees [31]. Organizations should train employees, improve their skills, and motivate them to avoid the RTC while implementing new systems [40].…”

Section: Resistance To Changementioning

confidence: 99%

Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare

et al. 2020

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The big data analytics (BDA) has dragged tremendous attention in healthcare organizations. Healthcare organizations are investing substantial money and time in big data analytics and want to adopt it to get potential benefits. Thus, this study proposes a BDA adoption model in healthcare organizations to explore the critical factors that can influence its adoption process. The study extends the technology acceptance model (TAM) with the self-efficacy as an external factor and also includes gender and resistance to change (RTC) as moderators to strengthen the research model. The proposed research model has been tested on 283 valid responses which were collected through a structured survey, by applying structural equation modeling. Our results portray that self-efficacy is a strong predictor of intention to use BDA along with other TAM factors. Moreover, it is confirmed by the results that RTC dampens the positive relationship between intention to use and actual use of BDA in healthcare organizations. The outcomes revealed that male employees as compared to female employees are dominant towards the positive intention to use BDA. Furthermore, females create more RTC than males while adopting BDA in healthcare organizations. Theoretical and practical implications, limitations, and future research directions also underlined in this study.

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Review of the Public Sector Organizations’ Environment: Accounting and Internal Control Systems, and Audit Quality

Rabaiah

Hanefah

Masruki

et al. 2022

Lecture Notes in Networks and Systems

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The Influence of Resistance to Change on Public-Sector Reform Implementation: The Case of Italian Municipalities’ Internal Control System

Cited by 25 publications

References 35 publications

Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change

Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare

Review of the Public Sector Organizations’ Environment: Accounting and Internal Control Systems, and Audit Quality

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