Artikel

Organizational inclusion through interaction of work meaningfulness and servant leadership: An artificial neural network approach

Modern organizations desire to fully include every organizational member in relevant activities for optimizing performance and reducing conflicts. This inclusion has become a challenge for leaders due to increased diversity in inclusive organizations. On one hand, organizational inclusion requires positive perception of the work itself (meaningfulness) and, on the other hand, needs inspirational leaders who can incite full participation from organizational members. In the absence of these two elements, negative work behaviors are likely to result in emergence of excluded groups and individuals. Consequently, cynicism, discontentment, resentment and conflicts arise which adversely affect organizational inclusion. We infer that servant leadership, through its narrative of "serving others", can play a vital role in creation of organizational inclusion through work meaningfulness. To investigate our inference about the impact of servant leadership directly, as well as through mediation/moderation of work meaningfulness, on organizational inclusion, this study has used structural equation modelling. In addition, artificial neural network (ANN) has also been applied to analyze the data collected from 400 employees working in the services and manufacturing sector of Turkey. An ANN model based on multilayer perceptron has been used to predict the impact of servant leadership and work meaningfulness on inclusion along with mediating roles of gender, age and work experience. The results adequately highlight strong influence of servant leadership and work meaningfulness on organizational inclusion.

Language
Englisch

Bibliographic citation
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 9 ; Year: 2022 ; Issue: 1 ; Pages: 1-27

Classification
Management
Subject
Artificial Neural Network (ANN)
Leadership
Organizational Inclusion
Servant Leadership
Work Behavior
Work Meaningfulness

Event
Geistige Schöpfung
(who)
Bhatti, Omar Khalid
Irfan, Muhammad
Öztürk, Ali Osman
Maham, Raj
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2022

DOI
doi:10.1080/23311975.2022.2059828
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Bhatti, Omar Khalid
  • Irfan, Muhammad
  • Öztürk, Ali Osman
  • Maham, Raj
  • Taylor & Francis

Time of origin

  • 2022

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