Management Dynamics in the Knowledge Economy (E-Journal)
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Artificial Intelligence and the Reconfiguration of Organizational Communication in the Context of the Knowledge Society
Full text linkThe rise of artificial intelligence is fundamentally altering the landscape of organizational communication, especially in the rapidly evolving knowledge economy. As AI technologies such as natural language processing, machine learning, and automated messaging systems become more embedded in strategic communication, organizations are not only optimizing internal workflows but also transforming the ways they interact with external audiences. This study examines how AI tools are being employed in professional communication environments, with a particular focus on public relations and digital media strategies. Drawing on practitioners’ experiences, the research investigates how AI is influencing content creation, audience segmentation, and communication planning. In parallel, it considers the role of media literacy as a necessary competency for navigating the growing reliance on automated systems. While AI brings new opportunities for efficiency and personalization, it also introduces tensions related to ethical responsibility, data governance, and the preservation of human-centered communication. The findings offer insights into how organizations can adopt AI in a manner that supports both innovation and communicative integrity
The Impact of Psychological Pricing on Students’ Perceptions of Higher Education Value: Managerial Insights for Institutions
No full textThis study explores the influence of psychological pricing on students' perceptions of the value of higher education programs in Morocco. It focuses on how the perception of tuition fees affects students’ views on academic quality, institutional reputation, and post-graduation employability. With a sample of 691 students from a variety of Moroccan higher education institutions, this research adopts a quantitative approach, utilising multiple regression analysis to examine the relationships between these variables. The primary research questions investigate how tuition fee perceptions impact students’ assessments of academic quality, the prestige of the institution, and their expectations regarding employability after graduation. The findings reveal that higher perceived tuition fees are significantly correlated with better academic quality and a stronger institutional reputation. Students who perceive higher fees tend to associate them with superior education and more prestigious institutions. On the other hand, the influence of tuition fees on post-graduation employability is moderate, suggesting that while higher fees are seen as an indicator of quality, other factors—such as internships, professional networks, and industry partnerships—also play crucial roles in shaping students' perceptions of employability. This study contributes to a deeper understanding of how psychological pricing strategies shape student decision-making in higher education. It offers valuable insights for educational institutions looking to optimise their pricing strategies and enhance the appeal of their programs. By recognising that psychological pricing can influence not just financial decisions but also perceptions of academic quality and future career prospects, institutions can better align their tuition pricing with students’ expectations. Future research should explore the impact of socio-economic factors, as well as the moderating effects of other variables, on the relationship between tuition fees and the perceived value of higher education
Dynamic Skills for Achieving Profitability and Long-term Sustainability of Start-up MSMEs
Full text linkIn a digitally evolving and competitive business environment, start-up micro, small, and medium-sized enterprises (MSMEs) encounter various dynamics that shape their profitability and sustainability. This research synthesises existing literature published between 2010 and 2023 to explore and identify the key dynamic skills that drive start-up MSMEs' profitability and long-term sustainability. A comprehensive search was conducted across Scopus, Web of Science, Google Scholar, and Emerald databases. Selected articles were categorised, and the key themes related to dynamic skills were extracted and analysed. The review identifies nine key dynamic skills essential for start-up MSMEs' profitability and long-term sustainability. These include sales and marketing, customer service, networking and industrial relationships, negotiation, financial management, cross-cultural communication, leadership and problem-solving, digital fluency, and entrepreneurial skills. These skills enable MSMEs to navigate the challenges of the digital era, maintain a competitive advantage, and achieve long-term sustainability. The study findings provide valuable insights for entrepreneurs, policymakers, and support organisations. By focusing on developing dynamic skills, start-up MSMEs can enhance their resilience and adaptability in a rapidly changing and competitive business environment. Policymakers and support organisations can also use these results to design programs that address the specific needs of MSMEs. Empirically, the study contributes to the existing literature by offering a comprehensive understanding of the skill sets required for sustainable growth and success of MSMEs. It also provides a foundation for future research and practice in this research domain
Workplace Change and Emerging Skills in Post-Pandemic Training Needs Assessment: Evidence from Bangladesh’s Public Sector
Full text linkThis study aims to figure out how workplace changes and new skills affect the training needs assessment of public sector officials in Bangladesh at the time of the post-pandemic era. A total of 408 valid responses were obtained from public officials in Bangladesh. Researchers measured the training needs of Bangladeshi public sector officials in the post-pandemic era by examining workplace changes and new knowledge and skills. Stakeholders will have the opportunity to assess their training needs and gain insight into the evolving workplace and emerging skills required for the post-COVID period, which is crucial for public-sector employees in Bangladesh. An SEM (Structural Equation Model) model was formulated for EFA (Exploratory Factor Analysis), where post pandemic training needs assessment is evaluated by using two independent variables that are workplace change and emerging skills to support the robustness of the findings by ensuring the validity and reliability of the research model. The research results indicate that workplace changes and new knowledge and skills have a significant impact on the training needs assessment of Bangladesh’s public sector. Furthermore, the research provides insight into the critical need to include training programs that focus on these essential competencies to ensure a successful transition to the post-pandemic era
Leveraging Knowledge Networks for Environmental Performance: The Role of Second-Order Social Capital in Manufacturing CSR Initiative
No full textManufacturing firms face increasing pressure to balance corporate social responsibility (CSR) with environmental performance (EP) while managing complex stakeholder relationships. Despite growing recognition of CSR's importance for sustainability, the mechanisms through which CSR translates into tangible environmental outcomes remain underexplored, particularly regarding the role of extended stakeholder networks. This study addresses this gap by introducing a theoretical framework examining how CSR initiatives influence EP through the lens of second-order social capital (SOSC), which captures indirect social resources derived from customer and supplier networks. The research framework, grounded in social exchange theory and a resource-based view, develops and validates a comprehensive measurement tool specifically designed for manufacturing industries. Using survey data from 307 middle and senior-level managers in Taiwan's manufacturing sector and employing the partial least squares structural equation model (PLS-SEM). The empirical analysis reveals that CSR directly and indirectly impacts EP through SOSC. Furthermore, CSR demonstrates a strong positive relationship with SOSC, while SOSC significantly influences EP. The mediation analysis confirms that SOSC serves as a significant intermediary mechanism, explaining how CSR initiatives cascade through extended network relationships to enhance EP. The findings offer practical implications for marketing managers and information systems professionals in designing integrated CSR strategies that effectively utilise customer and supplier relationships to improve EP, particularly in Asian manufacturing contexts where relationship-based business practices are prominent
Strategic Information Systems and Their Role in Enhancing the Competitive Advantage of Business Organizations
No full textThis study analyses the role of strategic information systems (SIS) in enhancing competitive advantage, with application to the Port of Ténès, a key institution in Algeria’s maritime transport sector. Out of 150 distributed questionnaires, 97 valid responses were collected and analysed using SPSS v26 through descriptive statistics, regression analysis, and ANOVA. The findings indicate a significant positive relationship between SIS and competitive advantage, particularly in terms of cost advantage and creativity & development, while no significant effects were observed for quality, on-time delivery, and flexibility. These results underline the selective contribution of SIS to strengthening competitiveness within this organizational context. The study recommends reinforcing investment in SIS, ensuring continuous employee training, and involving end-users in system design and development. Conducted on a single case study with a relatively limited sample, the research reflects the specific context of the Port of Ténès but offers valuable insights into the role of SIS in port organizations and provides a foundation for future comparative research in similar settings
Aligning Halal Supply Chain Management Improvements with Global Sustainability Standards: A DEMATEL-Based Analysis
Full text linkHalal Supply Chain Management (HSCM) significantly contributes to global sustainability by ensuring ethical sourcing, transparency, and responsible environmental practices, closely aligning with the Sustainable Development Goals (SDGs). Despite its potential, several challenges—including regulatory inconsistencies, traceability issues, and environmental impacts—hinder optimal sustainability integration. Addressing this gap, this research uniquely applies the DEMATEL method to systematically analyse causal relationships among critical sustainability factors within HSCM based on expert insights from 25 diverse industry specialists. Results reveal Sustainable Procurement (SP) as the primary driving factor influencing Green Logistics (GL), Halal Certification (HC), Supply Chain Transparency (SCT), and Waste Management (WM). The study highlights HC and SCT as significantly dependent on procurement and logistical strategies, while emphasising early integration of waste reduction practices into supply chain decisions. This novel integration of HSCM, SDGs, and DEMATEL offers actionable insights for policymakers, businesses, and scholars aiming to enhance sustainable procurement, logistical efficiency, and regulatory standardisation. Future research is recommended to explore AI-driven optimisation, blockchain-based Halal verification, and circular economy approaches for further sustainability improvements
Review of Dynamic Structural Equation Models for Real-Time Consumer Behaviour: Methodological Advances and Applications Insights
Full text linkThis study evaluated the transformative importance of dynamic SEM in offering a more thorough understanding of real-time consumer behaviours and thus transcending the limitations of traditional SEM approaches that typically rely on static data. The study analysed the recent advancements in the dynamic SEM and its capability to strengthen marketing strategies by accurately capturing evolving consumer interactions. The study evaluated the published peer-reviewed literature ranging from 2010 to 2024 to assess the advancement, comparisons, applications, accuracy and methodological complexities of both dynamic and traditional SEM approaches in the domain of consumer behaviours and interactions marketing analytics. The inclusion criteria were studies focusing on consumer behaviour, research articles published within 14 years, studies employing dynamic SEM methods and datasets that include time-series data. The findings for objective one show that dynamic SEM analyses complex, temporal and real-time data because it has been integrated with advanced modern methods and approaches such as Ecological Momentary Assessment and Experience Sampling Method, Bayesian methods for estimation, machine learning algorithms and cloud computing platforms. The findings for objective two indicate that dynamic SEM is practically and accurately capable of analysing temporal and real-time high-frequency, complex, and large-scale datasets from digital platforms like social media and e-commerce. The results obtained from the comparative analysis for objective three show that dynamic SEM provides significant improvements by offering a more accurate reflection of evolving consumer interactions and preferences than traditional SEM. Dynamic SEM integrates temporal elements and therefore allows for adeptly modelling consumer choices, moods, attitudes, and emotional states over time. Performance metrics such as MAE, RMS, and CFI confirm that dynamic SEM enhances fit and predictive precision. The findings show that dynamic SEM substantially and significantly outperforms traditional SEM since it has been integrated with advanced methods that enhance the understanding of real-time consumer behaviour and interactions by effectively capturing temporal variations in consumer behaviour and interactions. Thus, organisations should adopt and implement the dynamic SEM to optimise and improve their marketing strategies. The study contributes to knowledge that the dynamic SEM is superior in capturing real-time consumer behaviours, which results in enhancing marketing analytics and strategies
Mental Health and Work Engagement as Predictors of Cadet Performance in Indonesian Maritime Education
No full textThe maritime industry increasingly recognises that sustainable competitiveness relies on human capital capable of managing both the technical and psychological demands of life at sea. This study investigates the dynamic roles of mental health and work engagement as key components of human capital influencing cadet performance within Indonesian maritime education. A quantitative approach was employed using survey data from 115 deck and engine cadets who had completed the mandatory 12-month onboard training as required by the STCW Code. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM 4) to test the proposed relationships among variables. The findings reveal that mental health exerts a positive and significant direct effect on cadet performance, while work engagement also shows a strong and significant influence. However, mental health does not significantly predict engagement, indicating that cadet engagement is shaped more by structural and organisational discipline than by individual psychological well-being. These results suggest that performance in maritime education emerges from the synergy between psychological resilience and institutional structure, highlighting the contextual uniqueness of engagement in regulated and hierarchical training environments. Theoretically, this study extends the Job Demands–Resources (JD-R) model and human capital theory by integrating psychological and structural dimensions within a knowledge-based workforce framework. Practically, it emphasises the need for holistic maritime education policies that balance technical competence, mental health promotion, and engagement development to produce resilient, motivated, and high-performing future officers for the global maritime sector
Institutional Health Voids, Learning Myopia, and Counter-Knowledge: Unveiling Blind Spots in Healthcare Decision-Making
Full text linkThis study explores how Institutional Health Voids (IHVs) contribute to the emergence of weak signals, which lead to the spread of counter-knowledge and the formation of blind spots among healthcare stakeholders. Focusing on the Spanish National Health System (SNHS), the research investigates how these voids, characterized by fragmented knowledge and misinformation, hinder effective decision-making and exacerbate crises. The study incorporates the concept of learning myopia, which explains the cognitive limitations in interpreting weak signals, thus reinforcing institutional inefficiencies. The findings suggest that IHVs create gaps in knowledge structures, causing delays in response times and misaligned policies, ultimately compromising the system's ability to adapt and respond effectively to health challenges. This study reveals that addressing these gaps requires the development of knowledge structures that not only improve transparency but also foster inter-organizational trust and promote adaptive decision-making processes. By linking the theoretical frameworks of institutional voids with knowledge management, the study offers a fresh perspective on the impact of weak signals, counter-knowledge, and blind spots within the healthcare system. The research contributes to the understanding of how these factors shape decision-making and governance in healthcare systems, providing valuable insights for policymakers aiming to improve healthcare management, particularly in times of crisis. This work underscores the importance of strengthening knowledge structures within healthcare systems to enhance resilience, trust, and long-term sustainability. We explicitly adopt a conceptual methodology based on systematic literature review and critical analysis to integrate theories, clarifying how institutional voids shape healthcare decision-making through weak signals and counter-knowledge