Improving the Evaluation of Scholarly Work: The Application of Service Theory

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This book aims to stimulate debate in the growing and highly controversial area of measuring scholarly work. The authors examine key aspects of this topic through the lens of the latest theoretical developments in service science and associated fields. It includes chapters explaining the theoretical developments and methodological aspects of measuring the quality of academic teaching and research, while other chapters provide a review and analysis of various types of scholarly work metrics and processes with examples from several countries, cultures, and educational systems. The current growing concern about higher education (HE) quality has prompted institutions to divide university teachers’ work into different areas and to design methods aimed at measuring the productivity of these areas. It is widely accepted that the need to evaluate HE service quality is a relevant issue for any society. However, the authors argue that most of the current practices used in the pursuit of this objective are jeopardizing the future of the university as a place of knowledge generation, science evolution and professional education.

Author(s): Evert Gummesson, Montserrat Díaz-Méndez, Michael Saren
Publisher: Springer
Year: 2022

Language: English
Pages: 182
City: Cham

Foreword
About This Book
Contents
Contributors
Introduction
1 Background
2 What is the Problem?
3 Measuring Performance in Public Services
4 About This Book
References
Balanced Centricity in the Higher Education Service Ecosystem
1 Introduction
2 Managing HEIs as an Ecosystem
3 The Role of Institutions in the Context of a HEI-University Ecosystem
4 The Context: Balanced Centricity (BC)
5 Engaged Actors in the HEI-University
6 The Balanced Centricity HEI-University Ecosystem Model
7 Discussion
7.1 Theoretical Roots and Contributions
7.2 Implications for Management
References
Students Are Not Customers: Reframing Student’s Role in Higher Education Through Value Co-creation and Service-Dominant Logic
1 Introduction
2 Student’s Role in the Marketized University
3 Higher Education as a Service Ecosystem
3.1 Resource Integration in HE
3.2 An Ecosystem Perspective of HE
4 Managing the Ecosystem’s Resources for the Value Co-creation
5 Implications and Conclusion
References
Understanding the Contribution of the A4A Approach to Higher Education
1 Introduction
2 Reference Framework: The Actor-4-Actor Approach
3 The Focus on HE, an Interesting ‘Ground’ for A4A
3.1 HE in Italy, the Growth of On-line Universities
3.2 An A4A Approach to ‘Read’ the Digital Re-configuration of All Universities
4 Discussion
5 Managerial Implications
6 Conclusions
References
Case Research and Theory in Service Research
1 Introduction
2 Case Study Research
3 Narrative Case Study
4 Conclusion
References
Lights and Shadows on Student Evaluation Surveys: Insights from Service Dominant Logic
1 Introduction
2 HE Service Complexity: The Student is not the Customer; They Are the Student
3 Students’ Evaluation Surveys (SES)
4 What Do Student Surveys Measure?
5 Managing Teaching Quality and Learning Through a SDL View: Practical Tips
6 Lights and Shadows on SES
References
Learning and Teaching in Higher Education: Developing Different Approaches for Teaching and Evaluating Based on a Constructivist Methodology
1 Introduction
2 The Learner and Her Goals
3 The Background
4 The Outcome
5 Evaluation
References
(Co-)learning and (Co-)evaluation in Scholarly Ecosystem: Challenges and Opportunities in the Covid-19 Era
1 Introduction
2 Technology- Enhanced Learning and Evaluation
3 Higher Education as a Service Ecosystem
4 University Ecosystem: A Framework
4.1 Micro-level: Establishing Common Ground
4.2 Meso-Level: Co-learning and New Knowledge Creation
4.3 Macro-level: Continuous Improvement and Social Change
5 Discussion
6 Concluding Remarks
References
Deep Learning in Higher Education: A Service-Dominant Logic Perspective
1 Introduction
2 Theoretical Framework
2.1 Resource Integration
2.2 Deep Learning and Transferable Competencies
3 Higher Education and Universities as a Context
4 Deep Learning—Competencies and Motivation
5 Conclusion and Practical Implications
References
An Evaluation of Quality Metrics for Distance and Blended Teaching
1 Introduction
2 Theoretical Literature
3 Methodological Literature
4 Summary and Conclusion
Appendix
References
Metrics and Processes for Evaluating Scholarship in Higher Education: Experts’ Critical Reflections on Key Questions