Management Dynamics in the Knowledge Economy (E-Journal)
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Managing Research Projects in the Context of the Knowledge Economy: Success Factors and Challenges
Full text linkAcademic research conducted in universities and research centres is a major source of knowledge creation and dissemination within society. However, the success of research projects is influenced by multiple factors and requires a multi-level analysis to identify the key dimensions critical to managing a research project. The aim of this study is therefore to elucidate the factors contributing to the success of research projects in Algeria, considering the specificities of the local context and the challenges faced by Algerian researchers. The methodology adopted in this study relies on a qualitative approach based on data collection through 27 semi-structured interviews with research project managers in many universities and research centres across Algeria. The study results reveal that institutional support, particularly through administrative assistance and a favourable work environment, emerges as the fundamental factor in ensuring the success of research projects in Algeria. At the same time, strong leadership of the project team and effective management of project activities are also important elements in the project's success. This paper puts forward practical recommendations for improving day-to-day project management and enhancing researchers’ motivation and skills to tackle field-related challenges. From this perspective, it is imperative to encourage administrative flexibility at all levels in order to enable more efficient management of research projects. It is also advisable to establish a work environment in research institutions based on active listening and the continuous involvement of researchers. Finally, developing the human capital of the research team through targeted training can enhance the research team’s project management skills
A Bibliometric Analysis on Sustainability and Managerial Strategies. Research Trends and Key Insights
Full text linkThe integration of sustainability within managerial strategies has become a pivotal research domain in the Knowledge Economy, reflecting the increasing necessity for organizations to adopt environmentally and socially responsible business models. This study conducts a bibliometric analysis of sustainability research, emphasizing its impact on organizational performance and strategic management. By analyzing scholarly outputs from 2000 onwards, up to present times, this paper maps the evolution of sustainability discourse and identifies key research clusters, thematic trends, and citation networks in the field. Using data extracted from the Scopus database, this study applies bibliometric methodologies, including co-word analysis, citation mapping, and Bradford’s and Lotka’s laws, to trace the intellectual structure of sustainability research. The findings reveal a steady increase in academic contributions, with a notable acceleration in the past decade, indicating the growing relevance of sustainability as a strategic pillar for organizations. Core themes identified include corporate social responsibility, green innovation, stakeholder engagement, and regulatory adaptation. Consequently, this paper contributes to the scientific and managerial discourse by offering a structured synthesis of sustainability research within the Knowledge Economy framework. The results provide insights into theoretical advancements, research gaps, and potential directions for future studies, guiding policymakers, academics, and business leaders in shaping sustainable business strategies. The study also highlights the role of collaborative research networks in fostering innovation and driving sustainable change in disruptive times
Institutional Patterns of Diversity and Inclusion Across European Organisations and Regions
No full textThis paper examines institutional patterns of diversity and inclusion (D&I) in European organisations, emphasising cross-regional and cross-sectoral variations. Building on the theoretical framework of the Four Layers of Diversity Model (Gardenswartz & Rowe, 2003), the research investigates how organisations define their D&I priorities, and which employee groups are most frequently recognised as central to inclusive strategies. The study applies a quantitative content analysis of 76 publicly available organisational documents, such as sustainability reports, diversity policies, and codes of ethics, from 27 European countries, classified into six macro-regions. This methodological approach enabled a comparative evaluation of institutional maturity and thematic priorities within organisational D&I frameworks. Findings reveal pronounced regional differences. Anglo-Saxon countries demonstrate the most developed and balanced institutional frameworks, integrating gender, disability, and identity dimensions within comprehensive D&I strategies. In contrast, South-Eastern and Central-Eastern Europe display the lowest degree of formalisation and a predominantly declarative approach. Across the entire sample, three employee groups, namely women, persons with disabilities, and LGBTQ+ communities, emerge as the most frequently prioritised, whereas parents, older workers, and socio-economically disadvantaged groups are consistently underrepresented. The analysis further indicates that European organisations primarily address the internal dimensions of diversity (gender, age, ethnicity, disability), while external and organisational dimensions, related to power relations, social status, and access to resources, receive limited attention. This imbalance suggests that inclusion is still understood mainly as an individual rather than a structural issue. The paper concludes that to achieve genuine inclusion, European organisations must move beyond regulatory compliance and adopt an intersectional, system-level approach that embeds equality, participation, and social justice into their institutional cultures
Use of Artificial Intelligence in Advertising Agencies: Opportunities and Challenges
Full text linkThis paper’s overall objective is to identify the opportunities, challenges, and effects of artificial intelligence in advertising agencies. The theoretical approach of the key concept of artificial intelligence - its definition, typologies and effects, is followed by a particularization of the term in the advertising sector, based on a synthetic review, through a secondary analysis of statistical data, of the main trends in the AI use in current Romanian and international advertising. Subsequently, the paper focuses on the applied approach, based on qualitative research carried out through interviews with both employees from advertising agencies without management positions and managers of departments and advertising agencies where the former work, in order to identify the advantages and disadvantages of working with AI, but also positive and negative effects of using AI in advertising organizations, proposals for improving activities in which AI is used and, not least, ethical challenges related to working with AI. The integration of artificial intelligence in the advertising industry presents remarkable potential for innovation and efficiency, but also the need for a responsible approach to emerging challenges. The research provided a solid foundation for understanding the complexity and dynamism of the relationship between AI and advertising, highlighting that long-term success depends on the industry's ability to navigate this ever-evolving technology landscape with caution. By fostering a harmonious collaboration between technology and creativity, the advertising sector can maximize the benefits of AI while ethically addressing the associated challenges
Social Commerce and SME Competitiveness in the Fashion Industry: Insights from an Emerging Market
Full text linkThis paper examines how small and medium-sized enterprises (SMEs) in an emerging market context convert social commerce engagement into competitive performance. While social commerce is often framed as a democratizing force that lowers market entry barriers for small businesses, its actual impact on business competitiveness remains uneven. Using empirical data from 201 SME owners actively operating on TikTok Shop and Instagram Shop, this study investigates the role of internal structural readiness, specifically transactive memory systems, task specialization, and coordination in shaping performance outcomes. Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to analyze the relationship between digital engagement and competitive advantage. The results show that social commerce investment alone does not significantly enhance market penetration or sales performance unless supported by internal mechanisms that allow SMEs to manage digital complexity collectively. These findings shift the conversation from adoption-centric models toward organizational capacity and knowledge integration as key enablers of digital competitiveness. By extending the Resource-Advantage Theory of Competition, this study highlights how internal knowledge structures and team adaptability determine the extent to which digital resources can be transformed into market value. The paper contributes to the growing literature on digital transformation among SMEs by offering a structural perspective on performance readiness in the social commerce domain. It also offers managerial implications for SMEs seeking to strengthen internal capabilities, as well as for platform providers and policymakers aiming to build more inclusive digital ecosystems in emerging economies. In doing so, this research addresses both theoretical and practical gaps in understanding the micro-foundations of SME competitiveness in knowledge-driven digital markets
Multi-Regional Input-Output Analysis (MRIO): Exploring Trends and Gaining Key Insights Through Bibliometric Analysis
Full text linkUnderstanding the interaction of economies with the environment is very important in today's globalized world. Traditional economic models, which focus on single regions, are often inadequate for capturing the complexity of these global interactions. To overcome this, Multi-Regional Input-Output (MRIO) matrices expand conventional Input Output (IO) models by incorporating multiple regions, providing a comprehensive view of economic relationships within the global economy. The purpose of this study is to present a comprehensive bibliometric review of scientific articles published on the topic of "Multi-Regional Input-Output" analysis in an attempt to understand the research trends, key themes, and future research directions in this field. The methodology undertaken in this paper is a bibliometric analysis of 1,247 research publications from 2003 to 2024. This has been performed by extracting bibliometric data with the Biblioshiny function of the Bibliometrix package in R-studio and mapping it to identify crucial trends and contributors to MRIO research. The findings of these analyses can be summarised into five key points. First, research in the MRIO field is significantly increasing, especially since 2014 and peaking in 2022. Second, the Journal of Cleaner Production is by far the most prolific source for MRIO research. The thematic analysis finds that "carbon pricing," "environmental policy," and "embodied energy" are among the dominant and popular themes within MRIO research. The study highlights the importance of collaboration networks and key contributors within the field, identifying influential authors, sources, and trending keywords. Furthermore, the study underlines that important authors, sources and trending keywords in MRIO research agree with the pattern of collaboration extrapolated considering works cited. Finally, great value is put into future research to investigate new themes and work further on integrating and consolidating them into a wider MRIO framework. This is one of the first attempts at a bibliometric analysis of MRIO research. Hence, this bibliometric review provides valuable insights for future research by pinpointing areas for further investigation, such as integrating MRIO methodologies into broader sustainability assessment frameworks and improving their applicability for policy decision-making
Isomorphism. A Pathway to Institutionalize Intellectual Property in the Pacific Alliance
Full text linkThe objective of this article is to analyze the process of institutionalization of Intellectual Property (IP) in the Pacific Alliance (PA) from its origin in 2011 to 2020. This organization is made up of four countries: Colombia, Chile, Mexico and Peru. The theoretical foundation is located in the theory of neo-institutionalism, which grounds the analysis of isomorphism and institutional immersion regarding international agreements and political factions within the economic bloc. The question of this work is: What kinds of isomorphism and institutional immersion prevail in the IP documents assumed by the countries of the PA from 2011 to 2020? Two groups of documents were analyzed: the first group is made up of the documents that constitute the regulatory framework of IP in the international context, and the second group is made up of the documents that have been approved by the PA in this field. In the international context, seventeen treaties on intellectual property are analyzed under the scheme of the three types of isomorphism: coercive, mimetic and normative. Since its foundation, the PA has signed 27 documents related to intellectual property, which are distributed in the three types of isomorphism, where eight belong to the mimetic, seven coercive, ten normative and two mimetic and normative. Another concept that is analyzed is that of institutional immersion; under this scheme, seventeen documents signed by the Pacific Alliance are reviewed, where thirteen seek to promote cooperation, and five are mandated. It was found that mimicry maintains a strong influence in international intellectual property agreements; this is the result of institutional weakness; weak institutions seek to imitate the most successful ones, but it is also a consequence of tendencies to promote international cooperation. The continuation of this work should be aimed at explaining the influence of the institutionalization of intellectual property on the innovation indicators of the PA
The Management of Organizational Culture in the Quiet Quitting Phenomenon in Romanian Companies
Full text linkThe purpose of this study is to explore the phenomenon of quiet quitting within Romanian companies and its relationship with organizational culture, demographic factors, leadership styles, and peer/supervisor pressure. The research aims to determine how and if these characteristics influence the phenomenon of quiet quitting in any way. The findings reveal a strong association between organizational culture and quiet quitting, suggesting that the nature of an organisation’s culture directly influences employees' inclination to consider such actions. Additionally, leadership style significantly impacted quiet quitting, indicating that managerial approaches play a pivotal role in employees' decision-making. Furthermore, the study did not identify a substantial connection between peer influence and the relationship between corporate culture and quiet quitting. These findings emphasise the critical role of organizational culture and leadership approaches in understanding and addressing the quiet quitting phenomenon. The results highlight the need for employers to foster a positive and healthy work environment and to implement effective leadership strategies to mitigate the likelihood of employees considering quiet quitting
Empowering Work Teams as a Mechanism to Increase the Speed of Administrative Decision-Making
Full text linkEmpowering work teams is one of the most critical methods adopted in designing organizations to achieve the effectiveness of administrative decisions. The current study seeks a consistent theoretical framework for empowering work teams and speeding decision-making. It also aims to test the relationship between them in higher education institutions. The study sought to test the relationship applied based on an independent variable represented in empowering work teams with its dimensions: task design, leadership styles, organizational culture, information and communication, and a dependent variable represented in decision-making speed with its dimensions: response time, processing time, and execution time for a sample of university lecturers of the Faculty of Economic, Commercial, and Management Sciences at the at the University of Djelfa - Algeria. A questionnaire was designed to collect data from the study sample of 72 university lecturers, and the data was processed and analyzed statistically. The study reached a set of results. There was a significant effect of empowering leadership style, organizational culture, information and communication on the speed of decision-making among lecturers of the Faculty of Economic, Commercial, and Management Sciences at the University of Djelfa - Algeria. There were statistically significant differences in the sample responses concerning the axis speed of decision-making due to the job title variable. Also, the research study recommends working with the dimensions of the organization’s internal environment from the perspective of empowerment to make decisions that are compatible with time requirements
Competing Confirmatory Factor Analysis Models in Management Research: Bifactor Modeling of the Employee Work Assessment Tool
Full text linkManagement researchers often use structural equation modeling to analyze data from questionnaire-based instruments. Usually, confirmatory factor analysis (CFA) is applied to confirm the hypothesized or theorized factor structure of the instrument. Most authors adopt a single CFA model without comparing it against other potentially valid models (general factor, correlated factor model, second-order hierarchical model, and bifactor model). Hence, the dimensionality and reliability of constructs using bifactor modeling to validate latent scores are often ignored. Also, this gap is widened by no unanimous agreement on the use of post hoc modification of CFA models to support fit to the data in covariance-based structural equation modeling (CB-SEM). The objective of the study was to explore model fit, dimensionality, and reliability of the Employee Work Assessment Tool (EWAT) using competing CFA models. The study used a published dataset on the EWAT instrument to illustrate the assessment of the dimensionality and model-based reliability of the tool using CB-SEM. Results showed that CFA statistics of the bifactor model were most adequate for the instrument (χ2=70.053, df=19, RMSEA=0.082 [90% confidence interval; 0.062, 0.103], SRMR=0.036, CFI=0.963). The bifactor model ancillary measures supported the unidimensional structure of EWAT with justification for the use of total scores. The study concludes that the instrument is best described and applied as a unidimensional construct, and therefore, a single score can be used to rate employees’ perceptions of their work conditions. The study presents both practical implications for management researchers and simplified reporting for bifactor modelling