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

[31] Controller implementability: a data-driven approach
Padoan, Alberto
Coulson, Jeremy
Dorfler, Florian
[J]. 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 6098 - 6103
[32] A data-driven approach to nonlinear elasticity
Nguyen, Lu Trong Khiem
Keip, Marc-Andre
[J]. COMPUTERS & STRUCTURES, 2018, 194 : 97 - 115
[33] Data points: exploring data-driven reforms of education
Selwyn, Neil
[J]. BRITISH JOURNAL OF SOCIOLOGY OF EDUCATION, 2018, 39 (05) : 733 - 741
[34] Saliency Aggregation: A Data-driven Approach
Mai, Long
Niu, Yuzhen
Liu, Feng
[J]. 2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 1131 - 1138
[35] A data-driven approach for embedded security
Saputra, H
Ozturk, O
Vijaykrishnan, N
Kandemir, M
Brooks, R
[J]. IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI, PROCEEDINGS: NEW FRONTIERS IN VLSI DESIGN, 2005, : 104 - 109
[36] A Data-Driven Approach for Event Prediction
Yuen, Jenny
Torralba, Antonio
[J]. COMPUTER VISION-ECCV 2010, PT II, 2010, 6312 : 707 - 720
[37] A data-driven approach to violin making
Sebastian Gonzalez
Davide Salvi
Daniel Baeza
Fabio Antonacci
Augusto Sarti
[J]. Scientific Reports, 11
[38] A data-driven approach to η and η' Dalitz decays
Escribano, Rafel
[J]. MESON 2016 - 14TH INTERNATIONAL WORKSHOP ON MESON PRODUCTION, PROPERTIES AND INTERACTION, 2016, 130
[39] A Data-Driven Approach for Gaze Tracking
Huang, Kevin
Khalil, Mahmoud
Luciani, Evelyn
Melesse, Daniel
Ning, Taikang
[J]. PROCEEDINGS OF 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2018, : 494 - 499
[40] Multi-dimensional Education: A Common Sense Approach to Data-Driven Thinking
Kushner Benson, Susan N.
[J]. JOURNAL OF EDUCATIONAL RESEARCH, 2013, 106 (02): : 170 - 171

← 1 2 3 4 5 →