Iskanje po katalogu digitalne knjižnice

Opis: 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.
Ključne besede: software performance, decision–making performance, business performance, TMS systems, logistics industry, emerging economy
Objavljeno v DKUM: 14.11.2025; Ogledov: 0; Prenosov: 9
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Opis: Abstract Aim: In recent years, virtual and augmented reality (VR/AR) technologies have gained increasing attention as innovative tools for education, including in the field of adult Basic Life Support (BLS). While existing reviews on this topic primarily focus on comparing VR/AR with other educational approaches, our research aimed to identify the VR/AR hardware and software applications assessed in published studies and their alignment with learning objectives in adult BLS education. Methods: We conducted a scoping literature review using the Population, Exposure, and Outcome (PEO) framework to analyse publications from 2018 to 2024. The review focused on the impact of VR/AR (exposure) on affective, behavioral, and cognitive learning outcomes (outcome) in adult BLS education among laypersons, healthcare professionals, pre-licensure students, and duty-to-respond laypersons (population). Results: From 1,282 database records and 54 alternative sources, 31 articles were selected for comprehensive analysis. Many of the studies (11/31; 36%) targeted pre-licensure students, such as nursing students, and laypersons (9/31; 20%), primarily high school students. Only one study focused on duty-to-respond laypersons (1/31; 3%). VR studies (24/31; 77%) were more common than AR studies (6/31; 19%), featuring a broad spectrum of ten VR headsets compared to just two types of AR headsets. Among the assessed software applications, twenty-one commercial programs were examined—sixteen designed for VR and five for AR. Most studies investigated affective outcomes (25/31; 81%), while behavioural outcomes were also commonly examined (22/31; 71%). In contrast, cognitive outcomes were explored in fewer studies (9/31; 29%). Conclusion: Our review identified several challenges in existing studies, including variability in software and hardware, diverse learning outcomes, and accessibility issues with extended reality (XR) technology. To maximize its effectiveness, XR should be aligned with specific learning objectives rather than adopted for its novelty. Prioritizing educational efficacy ensures that XR enhances learning by addressing precise gaps, ultimately improving the understanding and retention of resuscitation skills among both laypersons and healthcare professionals.
Ključne besede: extended reality, immersive technology, virtual reality, augmented reality, adult basic life support, headsets, software, applications
Objavljeno v DKUM: 21.07.2025; Ogledov: 0; Prenosov: 2
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Opis: Background: The software product lines (SPL) enable development teams to fully address a systematic reuse of shared assets to deliver a family of similar software products. Mobile applications are an obvious candidate for employing an SPL approach. This paper presents our research outcomes, based on empirical data from an industry-level development project. Two development teams were confronted with the same functionalities set to be delivered through a family of native mobile applications for Android and iOS. Methods: Empirical data was gathered before, during and after a year of full-time development. The data demonstrate the impact of a SPL approach by comparing the SPL and non-SPL multiple edition development. One family of products (Android apps) was developed using an SPL approach, while another (iOS apps), functionally the same, was developed without employing an SPL approach. The project generated a volume of raw and aggregated empirical data to support our research questions. Results: The paper reports a positive impact of an SPL approach on product quality (internal and external) and feature output per week. As data shows, it also increases the delivery of functionalities (240% in 6 more editions), while investing the same amount of effort needed for a single-edition development. As a result of system-supported separation of development and production code, developers had a high confidence in further development. On the other hand, the second team delivered less new functionalities, only two new application editions, and lower software quality than the team that manages multi-edition development by employing an SPL approach.
Ključne besede: software product line, Android, simultaneous development, iOS, Software quality, software product editions
Objavljeno v DKUM: 17.04.2025; Ogledov: 0; Prenosov: 7
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Opis: Effort estimation is critical in software engineering to assess the resources needed for development tasks and to enable realistic commitments in agile iterations. This study investigates whether generative AI tools, which are transforming various aspects of software development, can improve effort estimation efficiency. A controlled experiment was conducted in which development teams upgraded an existing information system, with the experimental group using the generative-AI-based tool GitLab Duo for estimation and the control group using conventional methods (e.g., planning poker or analogy-based planning). Results show that while generative-AI-based estimation tools achieved only 16% accuracy—currently insufficient for industry standards—they offered valuable support for task breakdown and iteration planning. Participants noted that a combination of conventional methods and AI-based tools could offer enhanced accuracy and efficiency in future planning.
Ključne besede: software engineering, agile development, iteration planning, effort estination, generative AI, tool accuracy
Objavljeno v DKUM: 24.12.2024; Ogledov: 0; Prenosov: 20
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Opis: Outsourcing in logistics is an important step to reduce costs and increase operational efficiency. In this sense, it is possible to come across outsourcing in many areas of logistics processes. One of the outsourcing steps is the decision to select the software. Choosing the right software can affect the market share of the organization and the implementation time, effort, and cost. The findings of this research will help the marketing and sales teams of software product companies to develop key points and also enable end users to make informed decisions in selecting software packages for the organization. In this study, the studies in the literature were examined through the Scopus database, and co-citation analysis was performed using the VOSviewer program. As a result of the analysis, the articles analyzed were divided into four clusters and explained.
Ključne besede: logistics, software selection, VOSviewer
Objavljeno v DKUM: 01.10.2024; Ogledov: 0; Prenosov: 101
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