scholarly journals Resistance to (Digital) Change

2021 ◽  
pp. 219-236
Author(s):  
Antonia B. Scholkmann
Keyword(s):  
Higher Education ◽  
Resistance To Change ◽  
Digital Transformation ◽  
Change Resistance ◽  
Educational Researcher ◽  
Research Traditions ◽  
Employee Resistance ◽  
Disruptive Change

AbstractResistance to change has been elaborated on from different perspectives: with a focus on employee resistance to change and as a systemic phenomenon, but also in the light of digital change and digital transformation. However, an integration of these approaches is not easy to find. This chapter discusses the phenomenon of resistance to change in light of current understandings of the concept as well as new elaborations, which might help to pinpoint specific challenges of digital change resistance. To this end, I will dive into the research traditions that have been built up around the concept. In order to understand resistance to digital change, specifically, I will draw upon the theory of Danish educational researcher Knut Illeris and explore the potential of his writings to explain resistance to digital change from a learning perspective. Throughout I will use examples from higher education digitalization research, to illustrate the respective phenomena. Key navigation points of this chapter are to elaborate resistance to (digital) change both as an individual and a systemic phenomenon and to contribute to a better understanding of resistance to digital change in light of incremental and disruptive change expectations.

The Changing Nature of Change Resistance

2016 ◽  
Vol 52 (4) ◽  
pp. 482-506 ◽  
Author(s):  
Stephen L. Jones ◽  
Andrew H. Van de Ven
Keyword(s):  
Resistance To Change ◽  
Change Agents ◽  
Change Resistance ◽  
Organizational Changes ◽  
Supportive Leadership ◽  
Health Care Clinics ◽  
Employee Resistance ◽  
Extended Duration ◽  
Negative Relationships ◽  
Over Time

This research examines whether relationships between change resistance and its consequences and antecedents strengthen or weaken over time during an extended duration of organizational change. In 40 health care clinics undergoing a 3-year period of significant organizational changes, we found that resistance to change had increasingly negative relationships over time with two important consequences: employees’ commitment to the organization and perceptions of organizational effectiveness. That these relationships became stronger (rather than weaker) over time suggests festering effects of resistance to change. We also found that over time supportive leadership was increasingly impactful in reducing change resistance. A major implication of this research for practice is that it is important for change agents to address employee resistance because, left unchecked, it can fester and increasingly inflict harm. Also, engaging in supportive leader behaviors can be particularly useful in ameliorating resistance to change at later stages of a change initiative.

scholarly journals Categories for Barriers to Digital Transformation in Higher Education: An Analysis Based on Literature

2021 ◽  
Vol 11 (12) ◽  
pp. 658-664
Author(s):  
Bayu Rima Aditya ◽  
◽  
Ridi Ferdiana ◽  
Sri Suning Kusumawardani
Keyword(s):  
Higher Education ◽  
State Of The Art ◽  
Resistance To Change ◽  
Fish Bone ◽  
Digital Transformation ◽  
Future Research ◽  
Review Of The Literature ◽  
Basic Understanding ◽  
Insight Into ◽  
Structured Literature Review

For higher education institutions that encourage digital transformation, understanding the barriers are necessary for the digital transformation accomplishment. The purpose of this paper is to present a review of the literature on barriers to digital transformation in higher education. To get a wide overview in identifying the barriers to the implementation of digital transformation, a structured literature review was used to select the relevant studies published. Nine categories were identified based on the literature reviewed: vision, strategy and policy, resources, leadership, digital skill and knowledge, technology, adaptability, resistance to change, and government and economic. Our findings provided a fish-bone diagram that outlines twenty-two barriers to digital transformation in higher education. The main contribution of this study is a synthesis of the state of the art of barriers to digital transformation in higher education. We contribute to provide a common basic understanding of barriers to digital transformation in higher education to overcome barriers for improving the possibility of success. Moreover, we give an insight into future research on barriers exploration

Digital Transformation of Higher Education.

2020 ◽  
Vol 4 (3) ◽  
pp. 178-184
Author(s):  
M. D. Smetanina ◽  
◽  
E. P. Yefremova ◽  
E. V. Lazutkina ◽  
◽  
...  
Keyword(s):  
Higher Education ◽  
Digital Transformation

A barrier diagnostic framework in process of digital transformation in higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bayu Rima Aditya ◽  
Ridi Ferdiana ◽  
Sri Suning Kusumawardani
Keyword(s):  
Higher Education ◽  
Process Model ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
Digital Transformation ◽  
Successful Implementation ◽  
Content Type ◽  
Systematic Understanding ◽  
Diagnostic Framework

PurposeExisting literature has reported a barrier list that could affect the implementation of digital transformation in higher education, yet the research question of how to identify barriers remained unanswered. Thus, this study intended to address this gap.Design/methodology/approachThe research design adopted a mixed-methods approach based on the problem-centered design science research (DSR) process model for the development and evaluation of framework.FindingsThis study proposed a systematic framework of three sets of components: (1) the initial set of barriers; (2) the barrier rating scheme and (3) the barrier scoring matrix. The three-component of the framework is to identify and prioritize barriers to the successful implementation of digital transformation in higher education.Research limitations/implicationsThe evaluation of the framework was only based on an expert opinion.Practical implicationsThis study provided a direction to the policymakers for designing sensible strategies to increase the chances of a successful digital transformation in higher education.Originality/valueThis study contributes to the knowledge body by offering a more systematic understanding of barriers to digital transformation in higher education.

scholarly journals Disruptive Changing Higher Education Ecosystems: Have University Academics Been Gazumped?

2021 ◽  
Vol 4 (2) ◽  
pp. p12
Author(s):  
Dr Warrick Long ◽  
Associate Professor Lisa Barnes ◽  
Professor Maria Northcote ◽  
Professor Anthony Williams
Keyword(s):  
Higher Education ◽  
Online Teaching ◽  
Education Sector ◽  
Academic Environment ◽  
Challenges And Opportunities ◽  
Disruptive Change ◽  
The University ◽  
The Impact ◽  
Teaching Workload

Continual reforms in the Australian Higher Education Sector result in ongoing significant changes to the experiences of the Australian academic. As a result, massification, internationalisation and corporatization form the landscape of academia in Australia. The Australian University Accounting Academic (AUAA) faces ongoing challenges and opportunities within this dynamic academic environment, and this study explores these challenges in relation to teaching themed issues that confront the AUAA. By using a questionnaire and interviews with AUAAs, three themes emerged, being curriculum, teaching workload, and the impact of online teaching. The “ASSET” support framework is developed from these conversations with the AUAA’s to help them become an “asset” to the university during these times of disruptive change instead of allowing the system to “gazump” them.

scholarly journals DEVELOPMENT OF CONCENTRIC INFORMATION TECHNOLOGY OF DIGITAL TRANSFORMATION OF HIGHER EDUCATION INSTITUTIONS

2020 ◽  
pp. 105-115
Author(s):  
Iurii Teslia ◽  
Hryhoriy Zaspa
Keyword(s):  
Higher Education ◽  
Information Technology ◽  
Information Management ◽  
Information Needs ◽  
Higher Education Institutions ◽  
Digital Transformation ◽  
Modern World ◽  
Digital Space ◽  
Analytical System ◽  
Functional Problems

Modern world trends in education are aimed at the digital transformation of educational institutions. Traditional approaches to higher education institutions informatization through their automation no longer meet the requirements of the time. Therefore, new approaches are needed, based on the digitalization of educational processes aimed at creating digital universities. For this purpose, the current state of information systems in higher education institutions use and the issue of higher education institutions digital transformation were studied. The problem of automation tools separation was revealed, which does not allow to effectively implement digitalization projects, does not allow to create a single system of building digital universities. It is proposed to solve the digital transformation of higher education institutions problem based on the use of concentric information technology developed in this study, which integrates all information bases, methods and means of solving functional problems into a single digital space to maximize information needs of higher education institutions. This technology is based on the following developed in the study: 1) concentric model of information technology of digital transformation of higher education institutions, which allows to integrate methods and tools of information management to create a single higher education institutions digital space; 2 functionally independent method of information management of higher education institutions, which allows to create universal tools of informatization, which are independent of the composition and specifics of the construction of the created tools of solving functional problems; 3) interlayer information interaction methods, providing reflection in the processes of each of the layers of changes in the information environment of neighboring layers. The results of the study were used in the construction of information and analytical system of the university educational activities support, which was developed and implemented at Cherkasy State Technological University.

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