Measuring organizational happiness in higher education - a data-driven approach

被引：0

作者：

Kosztyan, Zsolt Tibor ^{[1
]}

Csizmadia, Tibor ^{[2
]}

Pato, Beata Sz. G. ^{[3
]}

Berke, Szilard ^{[4
]}

Neumanne-Virag, Ildiko ^{[5
]}

Bencsik, Andrea ^{[2
]}

机构：

[1] Univ Pannonia, Dept Quantitat Methods, Egyet Str 10, H-8200 Veszprem, Hungary

[2] Univ Pannonia, Dept Management, Veszprem, Hungary

[3] Eotvos Lorand Univ, Inst Econ, Fac Social Sci, Budapest, Hungary

[4] Obuda Univ, Kelet Karoly Fac Business & Management, Budapest, Hungary

[5] Univ Pannonia, Dept Int Econ, Veszprem, Hungary

来源：

COGENT EDUCATION | 2023年 / 10卷 / 01期

关键词：

organizational happiness; patterns of answers; higher education; biclustering; GROSS NATIONAL HAPPINESS; STUDENT SATISFACTION; QUALITY; GROWTH; PROGRESS; BHUTAN; INDEX; MODEL; TIME; LIFE;

D O I：

10.1080/2331186X.2023.2190382

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The measurement of organizational satisfaction is a popular topic in organizational science; however, less attention is given to organizational happiness. There are very few measuring tools designed to evaluate organizational happiness. While the value-mediating role of higher education is indisputable, to the best of our knowledge, this is the first study to address organizational happiness in the context of higher education. In addition, this study proposes new data-driven approaches to analyze patterns of answers (i.e. regarding individual happiness); therefore, the relationships among individuals, groups, and organizational happiness can be better analyzed. This study is based on survey data; nevertheless, in addition to measuring organizational happiness in Hungarian higher education, this paper proposes using infrequently used data-driven approaches to determine who feels happy/unhappy in what areas.

引用

页数：30

共 50 条

[1] On Analysing Student Resilience In Higher Education Programs using a Data-Driven Approach
Widjaja, Audrey Tedja
Lim, Ee-Peng
Gunawan, Ady
[J]. IEEE TALE2021: IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND EDUCATION, 2021, : 261 - 267
[2] Measuring for Knowledge: A Data-Driven Research Approach for eGovernment
Verdegem, Pieter
Stragier, Jeroen
Verleye, Gino
[J]. PROCEEDINGS OF THE 10TH EUROPEAN CONFERENCE ON EGOVERNMENT, 2010, : 417 - 424
[3] Organization development: A data-driven approach to organizational change.
Adler, S
[J]. PERSONNEL PSYCHOLOGY, 2005, 58 (01) : 223 - 225
[4] An organizational digital footprint for interruption management: a data-driven approach
Kalliomaki-Levanto, Tiina
Ukkonen, Antti
[J]. INFORMATION TECHNOLOGY & PEOPLE, 2022, 35 (08) : 369 - 396
[5] Data-Driven Analysis for Facility Management in Higher Education Institution
Pampana, Ashish Kumar
Jeon, JungHo
Yoon, Soojin
Weidner, Theodore J.
Hastak, Makarand
[J]. BUILDINGS, 2022, 12 (12)
[6] Data-driven Decisions of Higher Education Instructors in an Era of a Global Pandemic
Usher, Maya
Hershkovitz, Arnon
[J]. ONLINE LEARNING, 2023, 27 (02): : 170 - 186
[7] Towards Evidence-Based, Data-Driven Thinking in Higher Education
Meleg, Agnes
Vas, Reka
[J]. ELECTRONIC GOVERNMENT AND THE INFORMATION SYSTEMS PERSPECTIVE, EGOVIS 2020, 2020, 12394 : 135 - 144
[8] A data-driven approach to predict first-year students' academic success in higher education institutions
Gil, Paulo Diniz
Martins, Susana da Cruz
Moro, Sergio
Costa, Joana Martinho
[J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2021, 26 (02) : 2165 - 2190
[9] A data-driven approach to predict first-year students’ academic success in higher education institutions
Paulo Diniz Gil
Susana da Cruz Martins
Sérgio Moro
Joana Martinho Costa
[J]. Education and Information Technologies, 2021, 26 : 2165 - 2190
[10] Designing an Education Database in a Higher Education Institution for the Data-Driven Management of the Educational Process
Kustitskaya, Tatiana A.
Esin, Roman V.
Kytmanov, Alexey A.
Zykova, Tatiana V.
[J]. EDUCATION SCIENCES, 2023, 13 (09):

← 1 2 3 4 5 →