<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
    <channel>
        <title>Business Systems Research Journal Feed</title>
        <link>https://sciendo.com/journal/BSRJ</link>
        <description>Sciendo RSS Feed for Business Systems Research Journal</description>
        <lastBuildDate>Sun, 10 May 2026 14:14:07 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>https://github.com/jpmonette/feed</generator>
        <image>
            <title>Business Systems Research Journal Feed</title>
            <url>https://sciendo-parsed.s3.eu-central-1.amazonaws.com/647114872b88470fbea14e47/cover-image.jpg</url>
            <link>https://sciendo.com/journal/BSRJ</link>
        </image>
        <copyright>All rights reserved 2026, IRENET - Society for Advancing Innovation and Research in Economy</copyright>
        <item>
            <title><![CDATA[Industry 4.0, Business Process Management, and Lean Six Sigma for Achieving Business Excellence through Operational Excellence]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0016</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0016</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Asset management organizations have integrated new technologies before, but this trend is expected to reach its peak in the coming years. Investors using technical instruments buy financial products from asset management companies (AMCs). Thus, AMC is working diligently to enhance its operations and processes, enabling investors to have seamless transaction experiences across its various platforms through simplified procedures and efficient management.

Objectives
This study examines the performance drivers of AMCs, more specifically, how fundamental components contribute to business excellence by improving firm procedures and operations and creating new investor experiences.

Methods/Approach
The report uses data from 387 asset management professionals from 10 businesses. In India, 10 prominent AMCs provided 387 valid replies to a work survey. The analysis was conducted using PLS-SEM.

Results
The findings indicate that Industry 4.0, business process management, and Lean Six Sigma facilitate operational excellence and are key drivers of achieving business excellence in asset management firms in India.

Conclusions
Organizations can achieve business excellence by applying concepts from Industry 4.0, business process management, Lean Six Sigma, and operational excellence. This is among the few empirical studies examining the enablers of business excellence in Indian AMCs.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Psychological Empowerment and Organizational Commitment among Higher Education Lecturers in Central and Eastern European Countries]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0024</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0024</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Lecturers play a critical role in shaping the academic environment, and understanding their psychological well-being and commitment is essential for effective organizational management.

Objectives
The primary objective is to investigate the relationship between psychological empowerment dimensions (competence, self-determination, impact, and meaning) and different forms of organizational commitment (affective, continuance, and normative) within the context of higher education.

Methods/Approach
Data were collected through an online survey. The Psychological Empowerment Questionnaire (PEQ) assessed psychological empowerment, while the Organizational Commitment Questionnaire (OCQ) measured organizational commitment. IBM SPSS Statistics 24 facilitated data processing and analysis.

Results
Findings reveal significant associations between psychological empowerment dimensions and organizational commitment. Some relationships are positive, while others exhibit nuances across Central and Eastern European countries.

Conclusions
This research contributes valuable insights for organizational psychology and human resource management.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Does Gender Matter in Audit? Evidence on Earnings Management and Audit Delay from Croatia]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0026</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0026</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
There is an expanding body of research on the relationship between auditor gender and earnings management, based on the assumption that female auditors possess specific innate characteristics relevant to external audit quality.

Objectives
To further existing knowledge, this study examines the moderating effect of audit delay and the difference between post-audit and pre-audit financial reporting quality as direct measures of audit quality and provides insight into opportunities for women in the Croatian audit market.

Methods/Approach
This analysis used panel regression to estimate the research model and the modified Jones model as a measure of discretionary accruals.

Results
In addition to highlighting Croatia as the country with the highest female audit partner participation in audit engagements, the analysis revealed that earnings management decreases following an audit conducted by male audit partners. The beneficial impact of female audit partners is documented after the moderating effect of audit delay is included, and during the first year of the COVID-19 pandemic.

Conclusions
The findings suggest that female audit partners may utilise audit delay more effectively, enhancing oversight during periods of financial distress. At the same time, earnings management is generally reduced in audits conducted by male audit partners.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Early Identification of At-Risk Students in Online Education: A Deep Learning Approach to Predictive Modelling]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0019</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0019</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Predicting student performance in online learning is difficult due to class imbalance and limited model interpretability. At-risk students are fewer than high performers, biasing predictions, and methods like SMOTE fail to preserve temporal patterns. Although black-box models are accurate, they lack transparency for actionable insights.

Objectives
This study proposes a deep learning framework combining LSTM networks and attention mechanisms to address these issues using the OULAD dataset. LSTMs capture temporal dependencies, while attention improves interpretability by emphasising key features. Advanced resampling mitigates class imbalance for robust at-risk student detection.

Methods/Approach
The methodology applies the KDD framework to process data, uncover patterns, and build models that predict student success risk, ensuring efficient data handling, robust modelling, and actionable insights to improve retention.

Results
The BiLSTM-RNN achieved the best performance, effectively capturing temporal dependencies and attaining the highest accuracy, precision, recall, and F1-score.

Conclusions
The findings support more effective and targeted interventions in online education, offering valuable insights for research and practice.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Ethical Perceptions of Foreign Product Purchases Among Generation Z: The Impact of Patriotism, Ethnocentrism, and Worldmindedness]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0025</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0025</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Understanding consumer levels of ethnocentrism, patriotism, and worldmindedness is crucial for marketers, as these factors influence consumer preferences, purchasing decisions, brand loyalty, and ultimately the domestic economy.

Objectives
This paper aims to examine patriotic and ethnocentric tendencies, assess worldmindedness, and explore the interrelations among these constructs within Generation Z in Slovakia.

Methods/Approach
Primary data were collected via a structured questionnaire among 301 Slovak Generation Z respondents. Data analysis included descriptive statistics, Pearson’s correlation with confidence intervals, and network analysis of 50 items across three validated instruments (CETSCALE, pseudopatriotism scale, and the Worldmindedness Scale). Reliability was assessed using McDonald’s ω, Cronbach’s α, and item-rest correlation.

Results
The findings reveal low levels of ethnocentrism and patriotism, but relatively high worldmindedness within the cohort.

Conclusions
These results suggest a growing openness of Generation Z to global values and foreign products, posing a challenge for domestic producers but creating potential for foreign exporters. As this cohort becomes a key economic force, businesses and policymakers must adapt to their global outlook when designing marketing and economic strategies.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Exploring Analytic Hierarchy Process (AHP) Applications in Banking: A Bibliometric Study]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0029</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0029</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
A bibliometric analysis was conducted to investigate the prevalence of the Analytic Hierarchy Process (AHP) in academic studies, revealing it to be one of the most widely used methods in multi-criteria decision-making. The AHP structures complex decisions in a hierarchy, facilitating the evaluation of multiple criteria and alternatives. This approach is particularly valuable in situations where quantitative methods are not always applicable or sufficient.

Objectives
The main aim of this study is to assess the extent of research development on this topic at global and national levels using various performance indicators.

Methods/Approach
The WoS database was used to obtain the required data. The search revealed 286 research publications on “AHP and banking”, of which 79 were analysed to illustrate the potential applications of AHP and hybrid methods.

Results
The analysis provided a qualitative assessment of bibliometric indicators, highlighting existing trends and future research directions for the (r)evolution of academic progress. According to the selected fields of analysis, a gradual increase in the number of citations, published papers, and research on vertical and horizontal topics within the banking sector was observed.

Conclusions
The main contribution of this paper is the identification of new research foci and the filling of unresolved gaps in the academic literature. The evidence suggests that the effectiveness of the AHP method has stimulated the development of related research. Future papers should further elaborate on the proposed research areas in collaboration with other disciplines to create a robust research programme and foster innovations.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Measuring Social Impact and Enhancing Workforce Integration in Croatia’s Hotel Industry: Challenges, Opportunities, and Strategic Perspectives]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0020</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0020</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Croatia’s hotel industry faces persistent labour shortages and a rising reliance on foreign workers, underscoring the importance of structured workplace integration and measurable social outcomes.

Objective
This paper proposes a sector-specific framework for social impact and integration aligned with EU sustainability directives and leading Environmental, Social, and Governance (ESG) standards.

Approach
Drawing on literature and insights from three Croatian hotel leaders, we synthesise integration practices and map them to relevant indicators.

Results
We identify actionable metrics and governance levers that improve employee satisfaction, retention, and community cohesion.

Implications
The framework supports transparent ESG reporting and practical workforce strategies for sustainable tourism growth. In addition, the study makes a conceptual contribution by linking workforce integration practices to ESG reporting requirements, and a practical contribution by offering a structured indicator set tailored to the hospitality sector. This positions the paper as a conceptual, case-informed research article with both academic and managerial relevance.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Holistic Performance Evaluation using Income per Employee and Salary Metrics]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0027</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0027</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Business performance analysis is a growing field in which traditional metrics, such as total income and profit margins, are increasingly complemented by insights into the impact of employee investments on company success.

Objectives
This paper introduces a different approach to corporate evaluation that combines traditional metrics with the proposed Income per Employee Index (IPEI) and Income per Salary Index (IPSI), highlighting the strategic value of human capital. The proposed measures build on existing measures and offer a simple way to assess employee output as an indicator of operational efficiency.

Methods/Approach
We hypothesize that integrating IPEI and IPSI with traditional financial metrics provides a more detailed understanding of human capital utilization in relation to a company’s operational effectiveness. To achieve this, a combination of methods is used: from exploratory data analysis for initial insights to clustering and classification to identify patterns and assess the role of the proposed metrics in predicting gross profit.

Results
The derived metrics’ discriminative and evaluative properties yielded several clusters of observed companies. Additionally, these metrics demonstrated reasonable accuracy in predicting gross profit categories. Based on these results and IPEI and IPSI characteristics, we propose ways to interpret them.

Conclusions
The research contributes to understanding operational efficiency and human resource strategies, broadening the scope of interdisciplinary research and practical business applications.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Stakeholder Perceptions of the Organic Foods Industry in Sri Lanka]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0031</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0031</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
The organic food market in Sri Lanka has been growing steadily, driven by increasing consumer awareness of health and environmental sustainability. However, the market faces several challenges, particularly related to supply and affordability.

Objectives
This study aims to identify the perceptions of four stakeholder groups regarding the key factors influencing the development of the organic food market in Sri Lanka, with particular emphasis on demand, supply, marketing, and related factors.

Methods/Approach
This research adopted an inductive approach; qualitative surveys and thematic analysis of both primary and secondary data sources were used to analyse market conditions and the perceptions of four stakeholder groups in the organic food sector in Sri Lanka.

Results
Findings indicate a rising trend in consumer demand, especially among younger urban populations. However, the market is constrained by high production costs, inconsistent supply chains, and limited consumer trust.

Conclusions
To promote the growth of the organic food market, the study recommends increased subsidies for organic farming, enhanced government certification programs, and more substantial marketing efforts to raise awareness and build consumer confidence.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Trust and the Achievement of Strategic Alliance Goals: The Mediating Role of Resource Complementarity within a Resource-Based View]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0028</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0028</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Because of path dependence, companies often cannot generate new resources and capabilities internally. In that case, the best way to acquire them is through external mechanisms, such as alliances. To make an alliance successful, trust between alliance partners is crucial, but on its own, it cannot achieve alliance goals. However, if inter-organizational trust is low, companies will be less willing to share their resources with alliance partners.

Objectives
This paper aims to analyze the role of trust in achieving alliance goals and examine the mediating influence of sharing complementary resources, capabilities, and knowledge.

Methods/Approach
The data were collected from large Croatian companies with experience in strategic alliances. Hypotheses were tested using SPSS with the PROCESS macro. The robustness of the results was checked using SEM-PLS.

Results
The results show that trust has a statistically significant impact on achieving strategic alliance goals, indirectly through its effect on sharing complementary resources.

Conclusions
Resource complementarity fully mediates the impact of trust on alliance goal achievement. Although trust alone cannot lead to higher goal achievement, companies with greater trust in their strategic alliance partners will share more complementary resources within the alliance and achieve more goals. The findings contribute to strategic management literature and provide practical implications for companies engaging in strategic alliances by highlighting the role of mutual trust and the importance of resource complementarity.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[AI-Driven Personalisation and Customer Engagement in Social Commerce: Evidence from Kosovo]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0022</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0022</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
The study aims to examine the role of artificial intelligence-oriented personalisation in customer interaction of social commerce platforms in the developing market, such as Kosovo.

Objectives
A quantitative design was used, and 312 active users were sampled, with surveys offered to all demographic segments.

Methods/Approach
The customer’s behaviour was conceptualised using the Technology Acceptance Model, the Stimulus-Organism-Response theory, and the Uses and Gratifications Theory.

Results
The findings reveal a strong, positive correlation between AI-based personalisation and engagement. AI-based personalisation has significantly improved satisfaction, loyalty, and purchase intent. Age and education were ranked among the most critical moderators, and gender differences were not substantial.

Conclusions
The study is informative for both theory and practice, as it provides insights into strategies for maximising customer contact through prudent personalisation under new market conditions.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Designing a Digital Business Model for Internal Audit Functions: A Framework and Case Study from the Financial Sector]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0021</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0021</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
The internal audit function is a strategic infrastructural function of a company, organisation, or institution. Its digital transformation process must align with the organisation-wide digital business transformation process. The main determinants distinguishing successful from unsuccessful companies and internal audit functions are their overall business models.

Objectives
The main aim of this paper is to propose and design a unique digital business model canvas for the internal audit function and test its usefulness in practice. It also aims to investigate the current state and characteristics of internal audit functions’ business models and their innovations in the financial sector.

Methods/Approach
A combination of a comprehensive literature review and qualitative empirical research is applied to achieve the defined objectives.

Results
A unique canvas for designing the internal audit function’s business model is proposed. It summarises, on one page, how the function creates, delivers, and captures value for its stakeholders. This theoretically developed and empirically validated model is suitable for developing, describing, analysing, and synthesising customer segments, value propositions, channels, customer relationships, strategic direction, key resources, key activities, key partnerships, and operational direction.

Conclusions
Empirical investigation of the current state and characteristics of internal audit functions’ business model innovations and their compliance with global digital transformation trends shows that, in the Croatian financial sector, internal audit functions digitally innovate some elements but do not yet holistically transform all aspects. Thus, their digital business models differ in digital maturity, though digital transformation processes within the internal audit function align with those at the institutional level.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Mapping E-Commerce Research during the COVID-19 Pandemic: A Bibliometric Analysis]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0017</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0017</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Digital technology and broad Internet access have significantly changed consumer behaviour, primarily through the rise of online shopping and improved information-sharing channels.

Objectives
The COVID-19 epidemic fuelled the adoption of digital technologies, leading to a significant increase in online shopping. The authors of this paper captured and showed this increasing trend.

Methods/Approach
The authors use bibliometric and text-mining methods to demonstrate the importance of COVID-19 in the e-commerce development literature.

Results
A search of the Scopus database identified 845 relevant papers from 2020 to 2023, which were then refined to 417 within the fields of Business Management, Accounting, and Social Sciences. Most of these publications were scholarly articles (71.9%), reflecting a wide range of interdisciplinary contributions across Computer Science, Economics, and Engineering. The text mining analysis identified common keywords, including COVID-19, online shopping, purchase intention, e-commerce, and consumption behaviour. These keywords were grouped into six main clusters: consumer behaviour, online shopping intentions, impulsive buying, consumer satisfaction, sustainability considerations, and smartphone shopping behaviours during the pandemic. By implementing such an approach, it became evident which research topics and groups are the primary focus, which authors are the most productive, and which countries collaborate most on this topic.

Conclusions
The analysis reveals that the COVID-19 pandemic significantly shaped research directions in e-commerce, with a strong emphasis on consumer behaviour, trust, satisfaction, and impulsive purchasing. The identification of six distinct thematic clusters provides a structured overview of the most prominent topics explored during this period. Additionally, the study highlights which institutions and countries led the research efforts, showing robust collaboration networks in Asia and Europe, where international co-authorship has notably intensified.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Volunteering Practices During the COVID-19 Pandemic: A Case Study Perspective]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0032</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0032</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
The COVID-19 pandemic brought significant changes in all aspects of society, including the work of non-profit organisations. Many restrictions reshaped the economy and everyday life, causing serious threats to the work of both for-profit and non-profit sectors. However, the crisis also created an opportunity for innovation. As an important part of civil society, associations had to find new ways to support their beneficiaries and maintain volunteer activities.

Methods/Approach
This paper used a quantitative survey of volunteers from the Krijesnica Association. Data analysis was conducted to assess changes in volunteer activities and to identify the main challenges volunteers faced during the COVID-19 pandemic.

Results
The research results showed that the COVID-19 pandemic led to the proposal and implementation of new forms of volunteering, such as digital volunteering. Significant restrictions on physical contact encouraged the modification of existing forms of volunteering, which enabled the continued provision of assistance to beneficiaries.

Conclusions
Understanding the changes in volunteer activities and the challenges volunteers face is crucial for developing strategies to support civil society organisations and ensure their sustainability in the future. The Krijesnica Association successfully adapted to the pandemic’s challenges and continued to support its beneficiaries. The development of new forms of volunteering and the challenges volunteers face are important lessons for the future and an incentive for further research.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Food Safety Level in the European Union Underpinned by the Performance of the Private Companies]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0030</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0030</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background: Monitoring food safety in the supply chain has been a priority of European consumer protection policies. In this context, over the last two decades, there has been a significant increase in notifications to the RASFF by private companies.
Objectives: This study provides new insights by demonstrating that implementing private standards, such as GlobalGAP, is associated not only with increased notifications but also with reduced food safety issues when certifications are widespread.
Approach: Thus, the effect of improvements in companies’ actions, specifically the concrete application of the Global GAP protocol, on the number of notifications reported to the RASFF has been quantified through a multivariate panel-data analysis across 18 European countries.
Results: The results highlight that while private standards improve detection, they also reduce risks, and that producer, trading company, and retail business management is indeed highly relevant to the effectiveness of the RASFF, as well as the fact that enterprises have become a leading actor in maintaining food safety.
Conclusions: These findings underscore the importance of integrating private initiatives into public food safety policies. Specifically, the European Administration should incentivize the adoption of certification and enhance public-private collaboration to maximize food safety outcomes.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[From Responsibility to Resilience: The Role of Corporate Social Responsibility Committees in the Stability of MENA Banks]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0033</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0033</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Bank stability is fundamental for sustaining economic growth, fostering investment, and maintaining confidence in the financial system. In recent years, the rise of Corporate Social Responsibility (CSR) and the creation of CSR committees (CSRCs) have transformed banks’ governance models toward more ethical, transparent, and accountable practices.

Objectives
This study examines how CSR committees influence bank stability in the Middle East and North Africa (MENA) region, with a comparative analysis between Gulf Cooperation Council (GCC) and non-GCC countries.

Methods/Approach
Using an unbalanced panel of 40 commercial banks from 2010 to 2022, the study employs the System Generalised Method of Moments (SGMM) estimator to address endogeneity, account for dynamic panel bias, and control for unobserved heterogeneity, thereby producing robust and reliable estimates.

Results
Empirical findings reveal that the presence of CSR committees significantly enhances bank stability in the overall sample. However, this positive association is statistically significant only for GCC banks, not for non-GCC counterparts.

Conclusions
These results highlight that institutional quality, regulatory strength, and governance culture determine how CSR governance mechanisms translate into financial stability. The study contributes to understanding the role of CSR governance in promoting sustainable banking in emerging economies.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Real-Time Shipment Tracking through IT-Enabled Systems and Electronic Logistics Marketplaces]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0018</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0018</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
This case study illustrates the journey of a medium-sized transport firm in improving cross-organizational processes within a demand-driven supply chain through automated information exchange, connected IT-enabled systems, and the Electronic Logistics Marketplace (ELM).

Objectives
Both parties (carrier and manufacturer-shipper) experienced positive changes reflected through a decrease in loading and unloading waiting times, better organization of processes in the client’s warehouse, less workforce needed to handle loading and unloading, decreased workload for dispatchers in the Transport Department, better management of the COVID-19 restrictions, etc.

Methods/Approach
This research uses a case study approach. Within a single case study, evidence is gathered from multiple internal and external sources. A thorough case study protocol was also developed to ensure a transparent chain of evidence.

Results
This case study illustrates the critical role of IT-enabled information systems and ELMs in connecting cross-organizational processes to enable real-time shipment tracking. The study highlights the optimization of invoicing and document handling processes. The study also emphasizes the increased flexibility that logistics companies can achieve when equipped with real-time data. Finally, the study advocates greater investment in integrating demand-driven supply chain processes with available IT infrastructure.

Conclusions
This in-depth case study underscores the critical roles of process transformation and the strategic deployment of IT-enabled information in facilitating enhanced collaboration with business partners in a demand-driven supply chain.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Machiavellianism and Aggression as Predictors of Emotional Manipulation]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0023</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0023</guid>
            <pubDate>Sun, 21 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Emotional manipulation, Machiavellianism, and aggression represent individual characteristics that can substantially shape behaviour and interactions in organisational settings. These traits are linked to counterproductive work behaviours, weakened team functioning, and diminished leadership effectiveness.

Objectives
This study examines how Machiavellianism, proactive aggression, and reactive aggression predict emotional manipulation, poor emotional skills, and the concealment of emotions, with a specific focus on their relevance for organisational dynamics and workplace relationships.

Methods/Approach
The Emotional Manipulation Scale, the Short Dark Triad, and the Reactive-Proactive Aggression Questionnaire were applied to a sample of 332 individuals. Data was collected online from a convenience sample of the general population.

Results
Machiavellianism positively predicted emotional manipulation, poor emotional skills, and emotional concealment. Proactive aggression predicted emotional manipulation and emotional concealment, while reactive aggression predicted emotional manipulation. Machiavellianism added incremental value beyond reactive and proactive aggression in explaining all three emotional outcomes.

Conclusions
The findings highlight Machiavellianism as a key behavioural risk factor in organisational contexts, shaping manipulative tendencies that can undermine cooperation, leadership quality, and organisational performance. The results provide valuable implications for management, HR practices, and organisational diagnostics.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Consumer Trust and Adoption of Digital Payment Systems in Emerging Markets]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2026-0001</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2026-0001</guid>
            <pubDate>Thu, 18 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Digital payment systems have already become the key to transforming financial services in emerging markets, but their usage remains highly dependent on user trust, perceptions of usefulness and convenience, and the availability of favourable conditions.

Objectives
This research sought to investigate how consumer trust and adoption of digital payment platforms depend on variables, drawing on the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and a multidimensional trust theory.

Methods/Approach
A quantitative survey of 500 respondents across four emerging-market regions was conducted. The relationship among performance expectancy, effort expectancy, social influence, facilitating conditions, and the three trust dimensions was analysed using structural equation modelling (SEM).

Results
Performance expectancy, facilitating conditions, and trust-related constructs proved to be strong predictors of behavioural intention to use digital payments, and actual system utilisation was strongly predictable by behavioural intention. Trust was identified as mediating the users’ technological perceptions and their intentions to adopt. Qualitative implications revealed issues of security, data privacy, and infrastructural inconsistency that continued to influence user reluctance and perceptions of risk.

Conclusions
The results highlight the roles of trust-building mechanisms, effective user support systems, and regulatory assurance in promoting digital financial inclusion in emerging markets.

]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Estimating Short-term Default Probabilities Conditional to Economic Conditions: Applications of Regularisation Approach and Economic Adjustment Coefficients]]></title>
            <link>https://sciendo.com/article/10.2478/bsrj-2025-0009</link>
            <guid>https://sciendo.com/article/10.2478/bsrj-2025-0009</guid>
            <pubDate>Fri, 20 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Background
Corporate bonds are crucial for corporations as they provide a flexible and often less costly alternative to equity financing. However, rising corporate debt levels, along with rating downgrades and economic uncertainty, can cause corporations to face financial distress, exacerbating the probability of default.

Objectives
The purpose of this paper is to estimate bond default probabilities conditional on fluctuations in economic growth over short-term frequencies using inputs from rating transitions.

Methods/Approach
The estimation is based on a Markov chain framework and the incorporation of economic growth by utilizing specifications of the economic adjustment coefficient. Further, quasi-optimisation of the roots matrix is utilized to extend the model within a quarterly domain.

Results
Economic growth (proxied by GDP) carries little informational content on the future default probabilities. Non-investment grade ratings depict higher default probability, while investment-grade ratings yield default propensity of less than 1.1% in the next quarters and exhibit higher distance between default probabilities by tenor points and neighbouring states as the time horizon lengthens.

Conclusions
First, practitioners can measure forward-looking bond exposure across different tenure buckets using the estimation approach developed in this study. Second, by considering historical fluctuations in the economic cycle as an additional factor for estimating future default probability, this study informs financial market regulators by providing entities with an alternative reference point to their in-house generated models, helping them meet regulatory requirements.

]]></description>
            <category>ARTICLE</category>
        </item>
    </channel>
</rss>