SciPap, Volume 32, Issue 3 (2024)

Open Access Article SciPap-2056

by Philipp Boateng, Cecília Olexová

Abstract: This research aims to identify and categorise the key competencies required for managers to effectively lead small and medium-sized enterprises (SMEs) through the digital transformation process. Utilising a qualitative approach, the study employs Mayring´s content analysis to examine semi-structured interviews with ten SME representatives in Germany. The findings reveal that agile leadership, and the integration of innovative technologies are crucial for enhancing organisational responsiveness and agility. However, significant gaps in standardising systems and processes remain a challenge. The study underscores the importance of adaptive leadership, and the strategic use of digital tools to foster a resilient organisational culture. The insights provided contribute to the broader understanding of how SMEs can effectively implement digital transformation, highlighting the need for specialised leadership competencies to drive this change. The significance of the study lies in its potential to guide SME managers and policymakers in developing strategies that support sustainable digital growth and innovation.

Keywords: Digital Transformation, Smes, Empowerment, Qualitative Content Analysis, Mayring, Agile Leadership, Teams

JEL classification: M5, O15, J24, M1

Open Access Article SciPap-2082

by That Thi Pham, Thi Thanh An Dao, Thi Thu Lanh Nguyen, Van Trung Kiet Vo

Abstract: This study explores the effects of transformational leadership and adhocracy culture on innovative work behavior and employee performance. The research involved 286 employees from diverse disciplines, primarily in marketing communications and services, based in Ho Chi Minh City. Data analysis was performed using SPSS 26 and Smart PLS 4.0 software to assess the influence of adhocracy culture and on the five dimensions of transformational leadership on employee performance. The findings reveal that both adhocracy culture and transformational leadership positively impact employee performance. Furthermore, the study introduces a novel approach to predicting job effectiveness through innovative work behavior. The results provide valuable managerial insights for cultivating an adhocracy culture and promoting transformational leadership, which can enhance innovative work behavior, strengthen long-term organizational commitment, and improve overall employee performance.

Keywords: Employee Performance, Transformational Leadership, Innovative Work Behavior, Adhocracy Culture, Smart-Pls 4.0.

JEL classification: A1

Open Access Article SciPap-1918

by Ibrahim Alameri, Jitka Komárková, Tawfik Al-Hadhrami

Abstract: This paper takes a deep dive into mesh routing protocols, unraveling how they hold up under the pressures of varying node densities and the hustle and bustle of mobility. This paper included robust and advanced non-parametric statistical tests—think Kruskal-Wallis and Mann-Whitney—to figure out which routing protocol stands out in terms of Quality of Service (QoS) metrics for instance how long it takes a packet to travel end-to-end, the ratio of packets delivered successfully, throughput, and the amount of network overhead. Kicking things off, this study simulated a bunch of mesh environments. It was like setting up different conditions for the protocols to see how well they affect under various conditions. This part was crucial—it gave the work the raw data to put these protocols through their paces. With the Kruskal-Wallis test, this study aims to look for significant differences in how the protocols are performed across different scenarios. Moreover, when it came to the core, the Mann-Whitney test helped us conduct some head-to-head comparisons to spot the top performer under specific conditions. The performance of these protocols can vary wildly depending on how crowded the network is or how fast nodes are moving. The current investigation highlighted which protocols can keep optimal results when things get stable, and which can stay tough when the network feels more like a rollercoaster. This kind of investigation is gold for network designers and operators. Furthermore, this study brings significant attention to using non-parametric statistical methods for this analysis. The usual network parametric techniques often assume everything is normal (statistically) and that the variance is consistent across the board.

Keywords: Mesh, Aodv, Kruskal – Wallis, One Way Anova, And Mann-Whitney.

JEL classification: L14, L63, L86, C15, D85

Open Access Article SciPap-2110

by Thach Nguyen Ngoc

Abstract: Many prior studies on the government-growth nexus have focused on Keynesian (Keynes, 1936) or neoclassical (Lucas, 1990) traditions, while a recent research strand has paid widespread attention to Barro (1990)’s non-linear perspective. Although modern complexity sciences suggest an overall non-linear trend in a complicated, interconnected, globalized world, non-monotonicity is poorly addressed in the applied literature. This work explores both the linear and non-linear effects of government size on economic growth. By employing a hybrid Metropolis-Hastings algorithm within a hierarchical Bayesian approach to a panel of ASEAN countries over 1950-2019, which aids in handling statistical complexities, the results show a negative growth impact of government size. This finding aligns with the neoclassical viewpoint on bureaucratic inefficiencies and the distortionary effects of government intervention in a market economy. Substantial measures are needed to increase public spending efficiency and accountability, focus on productive investments, encourage private sector activities, and implement structural reforms in ASEAN.

Keywords: Monte Carlo Algorithm, Bayesian Hierarchical Approach, Multicollineartity, Reverse Causality, Government-Growth, Negative Linear Effect, Asean

JEL classification: E62, O40

Open Access Article SciPap-2071

by Emmanuel Ebo Arthur, Bernard Vanicek

Abstract: This study draws on the axioms of the knowledge production function and open innovation to examine the influence of publications and firm collaborations on the innovation of micro and medium-sized firms in the EU. We utilized CIS 2018 data (Eurostat), employing logistic regression methods and doubly robust treatment estimation techniques for the analysis. Our findings indicate that trade and patent publications positively influence product and market innovation. Furthermore, we ascertained that micro- and medium-sized firms in the European region enhance their innovation performance when they engage in consultations with public and private research institutions and universities rather than purchasing licensing and IPRs from these institutions. We observed evidence suggesting that central government funding positively influences the impact of firm collaboration on market method innovation. We conclude by proposing practical implications for policymakers and managers of micro- and medium-sized firms across countries in the EU.

Keywords: Trade Publications, Patent Publications, Intellectual Property Rights, Marketing Method Innovations, Government Funding

JEL classification: H, H5, O31, O32, O34