{"title":"A predictive model for collaborative leadership in digital transformation: Does it make a difference in Oman’s e-government performance?","authors":"Nasser Masaaod Al-Khayari, Midya Yousefi, Osaro Aigbogun","doi":"10.1108/fs-08-2023-0163","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper aims to investigate the role of collaborative leadership in government digital transformation in the Sultanate of Oman. To analyze collaborative leadership, the research examines four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. The endogenous variable chosen to represent Oman's e-Government performance is organizational performance.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>A quantitative method was applied to gather cross-sectional data in a questionnaire survey. Using a stratified sampling technique, the data were collected from 100 information and communication technology and e-government officials who assume leadership responsibilities. Partial least square structural equation modeling (PLS-SEM) examined measurement and structural models.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The role of collaborative leadership in the performance of government digital transformation in the Sultanate of Oman was examined in this study. Collaborative leadership was categorized into four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. Oman’s e-government performance operationalized as the organizational performance was selected as the endogenous variable. The results show that the self-directed team and agility components of collaborative leadership significantly positively impacted the performance of government digital transformation in the Sultanate of Oman.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>The major limitation of this research was that the study covered only four collaborative leadership attributes: self-directed teams, power-sharing, relational intelligence and agility. The study should have covered building trust, commitment, emotional intelligence, vision and communication skills.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>These results are important for government policy creators and decision-makers aiming to enhance government digital transformation performance by leveraging collaborative leadership.</p><!--/ Abstract__block -->\n<h3>Social implications</h3>\n<p>Addressing collaborative leadership in management can be done through awareness of its importance to critical decision-makers and embedding it in the organization's governance, policies and human resource career path. In particular, it is recommended that public sector leaders continuously monitor self-managing teams and teamwork practices within the organization.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The originality and contribution of the above article lie in its investigation of the role of collaborative leadership in the context of government digital transformation in the Sultanate of Oman. The study contributes to the existing literature by examining the impact of four exogenous variables, self-directed team, power-sharing, relational intelligence and agility, on collaborative leadership. Additionally, the research uses a quantitative approach and uses PLS-SEM to analyze the data. The findings highlight the significant positive impact of self-directed team and agility components of collaborative leadership on the performance of government digital transformation. These insights provide valuable implications for government policy creators and decision-makers aiming to enhance digital transformation in the public sector by effectively implementing collaborative leadership strategies.</p><!--/ Abstract__block -->","PeriodicalId":51620,"journal":{"name":"Foresight","volume":"55 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foresight","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/fs-08-2023-0163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper aims to investigate the role of collaborative leadership in government digital transformation in the Sultanate of Oman. To analyze collaborative leadership, the research examines four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. The endogenous variable chosen to represent Oman's e-Government performance is organizational performance.
Design/methodology/approach
A quantitative method was applied to gather cross-sectional data in a questionnaire survey. Using a stratified sampling technique, the data were collected from 100 information and communication technology and e-government officials who assume leadership responsibilities. Partial least square structural equation modeling (PLS-SEM) examined measurement and structural models.
Findings
The role of collaborative leadership in the performance of government digital transformation in the Sultanate of Oman was examined in this study. Collaborative leadership was categorized into four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. Oman’s e-government performance operationalized as the organizational performance was selected as the endogenous variable. The results show that the self-directed team and agility components of collaborative leadership significantly positively impacted the performance of government digital transformation in the Sultanate of Oman.
Research limitations/implications
The major limitation of this research was that the study covered only four collaborative leadership attributes: self-directed teams, power-sharing, relational intelligence and agility. The study should have covered building trust, commitment, emotional intelligence, vision and communication skills.
Practical implications
These results are important for government policy creators and decision-makers aiming to enhance government digital transformation performance by leveraging collaborative leadership.
Social implications
Addressing collaborative leadership in management can be done through awareness of its importance to critical decision-makers and embedding it in the organization's governance, policies and human resource career path. In particular, it is recommended that public sector leaders continuously monitor self-managing teams and teamwork practices within the organization.
Originality/value
The originality and contribution of the above article lie in its investigation of the role of collaborative leadership in the context of government digital transformation in the Sultanate of Oman. The study contributes to the existing literature by examining the impact of four exogenous variables, self-directed team, power-sharing, relational intelligence and agility, on collaborative leadership. Additionally, the research uses a quantitative approach and uses PLS-SEM to analyze the data. The findings highlight the significant positive impact of self-directed team and agility components of collaborative leadership on the performance of government digital transformation. These insights provide valuable implications for government policy creators and decision-makers aiming to enhance digital transformation in the public sector by effectively implementing collaborative leadership strategies.
期刊介绍:
■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques