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Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems
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Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 7553

Special Issue Editor

Prof. Dr. Maja Meško

E-Mail Website
Guest Editor
Faculty of Organizational Sciences, University of Maribor, Kidričeva 55a, 4000 Kranj, Slovenia
Interests: leadership; decision making; management; psychology in management; occupational health and management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital transformation is revolutionizing the way organizations operate, requiring leaders to navigate complex technological landscapes and make critical decisions to ensure their success in today's ever-evolving systems. This Special Issue "Navigating Digital Transformation: Leadership and Decision Making in Today's Systems" in MDPI Systems invites contributions that explore the intersection of leadership, decision making, and digital transformation.

This Special Issue aims to provide a platform for researchers and practitioners to discuss and analyze the challenges and opportunities that come with leading organizations through the digital transformation journey. We invite submissions that examine the role of leadership in driving digital initiatives, the strategies and processes involved in decision making in the digital age, and the impact of digital transformation on organizational structures and practices.

We encourage submissions from a wide range of disciplines, including but not limited to business, management, information systems, and technology. Ultimately, this Special Issue seeks to advance our understanding of how effective leadership and decision making can shape the success of digital transformation initiatives in today's systems.

Prof. Dr. Maja Meško
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital transformation
  • leadership
  • decision making
  • systems
  • artificial intelligence

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Published Papers (5 papers)

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Research

17 pages, 1230 KiB  
Article
The Impact of Quiet Quitting on Turnover Intentions in the Era of Digital Transformation: The Mediating Roles of Job Satisfaction and Affective Commitment, and the Moderating Role of Psychological Safety
by Kwang Tae Kim and Young Woo Sohn
Systems 2024, 12(11), 460; https://doi.org/10.3390/systems12110460 - 31 Oct 2024
Viewed by 1004
Abstract
This study examines the impact of “quiet quitting” during digital transformation on job satisfaction, affective commitment, and turnover intention. A time-lagged survey was conducted over six months with two waves of data collection from full-time employees in South Korea, resulting in 258 valid [...] Read more.
This study examines the impact of “quiet quitting” during digital transformation on job satisfaction, affective commitment, and turnover intention. A time-lagged survey was conducted over six months with two waves of data collection from full-time employees in South Korea, resulting in 258 valid responses. Using the PROCESS macro for analysis, the findings reveal that quiet quitting significantly reduces job satisfaction and affective commitment, which, in turn, increases turnover intention. Furthermore, psychological safety serves as a critical moderator, buffering the negative effects of quiet quitting on these outcomes. The study confirms that the influence of quiet quitting on turnover intention operates through the mediating roles of job satisfaction and affective commitment, and organizations with higher psychological safety are better equipped to mitigate these adverse effects. Grounded in Withdrawal Progression Theory, this study empirically demonstrates the progression of quiet quitting into turnover intention and provides strategic insights for organizations to prevent employee turnover and maintain employee engagement during digital transformation. Full article
(This article belongs to the Special Issue Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems)
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24 pages, 1407 KiB  
Article
The Relationship Between Ethical Leadership and Emotional Exhaustion in a Virtual Work Environment: A Moderated Mediation Model
by Carlos Santiago-Torner, José-Antonio Corral-Marfil and Elisenda Tarrats-Pons
Systems 2024, 12(11), 454; https://doi.org/10.3390/systems12110454 - 26 Oct 2024
Viewed by 864
Abstract
The role of ethical leadership in virtual settings is not yet clearly defined, but it may be the key to addressing employees’ emotional exhaustion. In addition, to prevent emotional exhaustion, it is important to determine the role of work autonomy and teleworking intensity. [...] Read more.
The role of ethical leadership in virtual settings is not yet clearly defined, but it may be the key to addressing employees’ emotional exhaustion. In addition, to prevent emotional exhaustion, it is important to determine the role of work autonomy and teleworking intensity. The present research examined how and when ethical leadership influences emotional exhaustion through work autonomy and teleworking intensity. Data collected from 448 workers in the Colombian electrical sector were analyzed using a SEM moderated mediation model. The results indicate a positive relationship between ethical leadership and emotional exhaustion mediated by work autonomy. The results also show that teleworking intensity moderates the mediation process. Specifically, the positive impact of ethical leadership on emotional exhaustion stopped when teleworking intensity was high. Likewise, high teleworking intensity intensified the positive relationship between ethical leadership and work autonomy. Finally, high teleworking intensity dampened the positive relationship between work autonomy and emotional exhaustion. In conclusion, working virtually five days a week is a strategy that amplifies the leader-member relationship and becomes an advantage to effectively combat emotional exhaustion. The results obtained in this research are particularly relevant because they show for the first time that ethical leadership can have opposite effects on employees’ emotional exhaustion, both positive and negative, depending on the number of days teleworked, thus contributing to a new understanding of the characteristics of the ethical leader in a virtual environment. Full article
(This article belongs to the Special Issue Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems)
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21 pages, 1093 KiB  
Article
The Influence of Machine Learning on Enhancing Rational Decision-Making and Trust Levels in e-Government
by Ayat Mohammad Salem, Serife Zihni Eyupoglu and Mohammad Khaleel Ma’aitah
Systems 2024, 12(9), 373; https://doi.org/10.3390/systems12090373 - 16 Sep 2024
Viewed by 1978
Abstract
The rapid growth in the use of AI techniques, mainly machine learning (ML), is revolutionizing different industries by significantly enhancing decision-making processes through data-driven insights. This study investigates the influence of using ML, particularly supervised and unsupervised learning, on rational decision-making (RDM) within [...] Read more.
The rapid growth in the use of AI techniques, mainly machine learning (ML), is revolutionizing different industries by significantly enhancing decision-making processes through data-driven insights. This study investigates the influence of using ML, particularly supervised and unsupervised learning, on rational decision-making (RDM) within Jordanian e-government, focusing on the mediating role of trust. By analyzing the experiences of middle-level management within e-government in Jordan, the findings underscore that ML positively impacts the rational decision-making process in e-government. It enables more efficient and effective data gathering, improves the accuracy of data analysis, enhances the speed and accuracy of evaluating decision alternatives, and improves the assessment of potential risks. Additionally, this study reveals that trust plays a critical role in determining the effectiveness of ML adoption for decision-making, acting as a pivotal mediator that can either facilitate or impede the integration of these technologies. This study provides empirical evidence of how trust not only enhances the utilization of ML but also amplifies its positive impact on governance. The findings highlight the necessity of cultivating trust to ensure the successful deployment of ML in public administration, thereby enabling a more effective and sustainable digital transformation. Despite certain limitations, the outcomes of this study offer substantial insights for researchers and government policymakers alike, contributing to the advancement of sustainable practices in the e-government domain. Full article
(This article belongs to the Special Issue Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems)
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27 pages, 7779 KiB  
Article
The Role of 4IR-5IR Leadership-Management in the Adoption of Formal Methods
by John Andrew van der Poll
Systems 2024, 12(8), 306; https://doi.org/10.3390/systems12080306 - 18 Aug 2024
Viewed by 1552
Abstract
Formal methods (FMs) have been cited as a viable methodology for developing high-quality software. However, the steep learning curve in efficiently using the underlying discrete mathematics and logic has hindered FMs’ adoption, leading to a decline in their initial interest in the 1980s. [...] Read more.
Formal methods (FMs) have been cited as a viable methodology for developing high-quality software. However, the steep learning curve in efficiently using the underlying discrete mathematics and logic has hindered FMs’ adoption, leading to a decline in their initial interest in the 1980s. Traditionally, technical approaches have been pursued to address the FMs challenge. Having taken cognisance of a similar pre-4IR decline in AI, the researcher views FMs as technology and considers solutions at intersections of 4IR-5IR technology adoption, leveraged by the support of governors, termed leadership-management in this work. Following a qualitative research choice, scholarly literature is reviewed, and sets of qualitative propositions are defined to develop a conceptual framework for a 4IR-5IR leadership-management adoption of FMs. Aspects that emerged and are incorporated into the framework are cross-functional and executive levels of leadership, transformative, adaptive, and servant leadership styles, using FM tools that embed a high level of user experience, and 4IR technologies, augmented with 5IR human aspects. The framework is hoped to motivate a company’s leadership to contribute to technology and technical ICT-based decision-making increasingly. Future work in this area would involve securing input from practitioners and exercising the framework in an industrial setting. Full article
(This article belongs to the Special Issue Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems)
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17 pages, 717 KiB  
Article
Exploring Intrinsic Motivation and Mental Well-Being in Private Higher Educational Systems: A Cross-Sectional Study
by Fayyaz Qureshi, Sarwar Khawaja, Katarina Sokić, Mirjana Pejić Bach and Maja Meško
Systems 2024, 12(8), 281; https://doi.org/10.3390/systems12080281 - 2 Aug 2024
Cited by 1 | Viewed by 1181
Abstract
In the realm of digital transformation, effective leadership and motivation are pivotal for organisations navigating the complexities of today’s systems. This study explores the intersection of intrinsic motivation and mental well-being among mature students—an analogy that sheds light on strategies applicable to organisational [...] Read more.
In the realm of digital transformation, effective leadership and motivation are pivotal for organisations navigating the complexities of today’s systems. This study explores the intersection of intrinsic motivation and mental well-being among mature students—an analogy that sheds light on strategies applicable to organisational contexts. In developed nations like the UK, mental health for mature students is increasingly recognised as a crucial component of their educational journey. Mature students, who typically enrol in higher education after an educational gap and upon turning 21, often face specific challenges that can impact their mental well-being while pursuing academic goals. The primary objective of our study was to assess the relationship between intrinsic motivation and the mental well-being of mature students. The study included 248 full-time undergraduate mature students enrolled in private higher education institutions in the UK. These participants were 21 years and older. The research employed two measurement scales: the four-item Intrinsic Motivation Scale, adapted from Jaramillo, and the Warwick–Edinburgh Mental Well-Being Scale. Data collection utilised online Google Forms with multiple choice self-report formatted questions, and our analysis involved both descriptive and inferential statistics. Our research revealed a significant positive correlation between variables of intrinsic motivation and mental well-being. Confirmatory factor analysis (CFA) results confirmed the construct in the model. The results indicated that intrinsic motivation significantly predicts mental well-being among mature students (Cohen’s effect size value, f2 = 0.54). Recognising and addressing the unique difficulties individuals encounter and providing appropriate support can enhance their well-being and contribute to the overall success of the higher education community. Full article
(This article belongs to the Special Issue Navigating Digital Transformation: Leadership and Decision Making in Today’s Systems)
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