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Abstract: Background/Purpose: This study investigates the mediating role of decision–making performance in the link between software performance and overall business performance in the logistics sector of an emerging economy. As logistics companies increasingly rely on digital infrastructures, understanding how advanced systems contribute to strategic outcomes is critical for sustaining competitiveness. Methods: A conceptual framework was developed integrating ERP systems, big data analytics, and IoT applications. In this model, software performance is positioned as the independent variable, decision–making performance as the mediator, and business performance as the dependent variable. Data were collected from medium- and large–scale logistics firms and analyzed using regression and bootstrapping methods through SPSS and the PROCESS Macro. Results: The findings reveal that software performance significantly improves decision–making performance (β = 0.552, p < 0.01), which in turn has a strong positive effect on business performance (β = 0.817, p < 0.01). The mediation analysis confirms that decision–making performance mediates the effect of software performance on business outcomes. Conclusion: The results highlight the strategic importance of aligning digital capabilities with organizational decision processes. By demonstrating the mediating role of decision–making, the study highlights that the effective use of advanced analytical tools is crucial for optimizing performance and achieving a sustainable competitive advantage in logistics.
Keywords: software performance, decision–making performance, business performance, TMS systems, logistics industry, emerging economy
Published in DKUM: 14.11.2025; Views: 0; Downloads: 9
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Abstract: Purpose This study aims to apply the Delphi method to explore the possibilities for implementing agility management concepts in Slovenian health-care organisations. Design/methodology/approach The research is based on a qualitative Delphi study encompassing 15 employees in different Slovenian health-care organisations. Findings Slovenian health-care organisations need to be more agile currently. For this reason, it is necessary to begin with organisational changes and organisational learning concepts to educate employees about the meaning and content of agile processes. It is essential to ensure that accepting employee mistakes and offering help to employees becomes normal practice, and it is necessary to ensure the greater trust of the management towards the employees. Originality/value The research empowers health-care professionals with new management and leadership concepts, such as agile management, sustainable leadership and leadership development methods in health care.
Keywords: entrepreneurship, leadership, company performance, business efficiency, agile management, delphi study, health-care organisations, organisational transformation, Slovenia, change management, health services sector
Published in DKUM: 08.04.2024; Views: 301; Downloads: 29
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Abstract: According to several previous studies, entrepreneurial risk-taking is an important aspect that can lead to prospective business opportunities, hence improving entrepreneurial outcomes such as enterprise performance. The main purpose of this paper is to examine the extent and degree of impact of entrepreneurial risk-taking (ERT) as one of the dimensions of entrepreneurial mindset on the performance of micro enterprises in Skikda, Algeria. Based on a self-administered survey questionnaire, data were collected from a random sample of 142 micro-enterprises in Skikda. The study adopted descriptive, correlation, and regression analyses to estimate the impact of entrepreneurial risk-taking. collected data were analyzed using the Statistical Package for Social Sciences (SPSS 22) programme. The findings demonstrate that entrepreneurial risk-taking significantly affects the performance of micro enterprises in Skikda. Of the total variance of the performance of micro enterprise’s, 9.2% can be explained by the variability of entrepreneurial risk-taking. A small percentage is expected and can partly be explained by the presence of other factors that affect the performance of these enterprises as well as the negative effects of the COVID-19 pandemic on the process of economic activity and available business opportunities worldwide, especially these very small enterprises. However, the presence of this positive impact calls for a focus on raising the risk-taking spirit of existing and potential Algerian entrepreneurs, by holding conferences, forums and entrepreneurial programmes that enhance and support this characteristic of the entrepreneurial mindset.
Keywords: risk taking, entrepreneurship, business performance, micro enterprises, Algeria
Published in DKUM: 01.09.2023; Views: 408; Downloads: 167
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Abstract: The increasing number of network-shaped domains calls for the use of graph database technology, where there are continuous efforts to develop mechanisms to address domain challenges. Relationships as 'first-class citizens' in graph databases can play an important role in studying the structural and behavioural characteristics of the domain. In this dissertation, we focus on studying the cardinality constraints mechanism, which also exploits the edges of the underlying property graph. The results of our literature review indicate an obvious research gap when it comes to concepts and approaches for specifying and representing complex cardinality constraints for graph databases validated in practice. To address this gap, we present a novel and comprehensive approach called the k-vertex cardinality constraints model for enforcing higher-order cardinality constraints rules on edges, which capture domain-related business rules of varying complexity. In our formal k-vertex cardinality constraint concept definition, we go beyond simple patterns formed between two nodes and employ more complex structures such as hypernodes, which consist of nodes connected by edges. We formally introduce the concept of k-vertex cardinality constraints and their properties as well as the property graph-based model used for their representation. Our k-vertex model includes the k-vertex cardinality constraint specification by following a pre-defined syntax followed by a visual representation through a property graph-based data model and a set of algorithms for the implementation of basic operations relevant for working with k-vertex cardinality constraints. In the practical part of the dissertation, we evaluate the applicability of the k-vertex model on use cases by carrying two separate case studies where we present how the model can be implemented on fraud detection and data classification use cases. We build a set of relevant k-vertex cardinality constraints based on real data and explain how each step of our approach is to be done. The results obtained from the case studies prove that the k-vertex model is entirely suitable to represent complex business rules as cardinality constraints and can be used to enforce these cardinality constraints in real-world business scenarios. Next, we analyze the performance efficiency of our model on inserting new edges into graph databases with varying number of edges and outgoing node degree and compare it against the case when there is no cardinality constraints checking. The results of the statistical analysis confirm a stable performance of the k-vertex model on varying datasets when compared against a case with no cardinality constraints checking. The k-vertex model shows no significant performance effect on property graphs with varying complexity and it is able to serve as a cardinality constraints enforcement mechanism without large effects on the database performance.
Keywords: Graph database, K-vertex cardinality constraint, Cardinality, Business rule, Property graph data model, Property graph schema, Hypernode, Performance analysis, Fraud detection, Data classification
Published in DKUM: 10.08.2022; Views: 771; Downloads: 124
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Abstract: The article presents results of research on the identification and evaluation of barriers faced by successors in family businesses during the first process of succession. The analysis of empirical material used grey systems theory, which was considered as an equivalent for the analysis of small samples and qualitative research. While conducting the literature review and empirical study, the authors concentrated on (a) the identification of barriers in the development of family firms and (b) eliciting the perspective of the new generation of owners in family firms entering the succession process through an empirical analysis of the assessed level of risk in relationships with family and business.
Keywords: family business, company performance, business efficiency, leadership, ownership, family, risk, research, grey incidence analysis, grey system theory
Published in DKUM: 14.11.2017; Views: 1483; Downloads: 440
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