Stefan Milojević

Background/Objectives: Although medico-legal autopsy remains an important source of postmortem evidence for clarifying causes and circumstances of death, identifying diagnostic discrepancies, and evaluating adverse clinical outcomes, its relevance may extend well beyond individual case resolution. Evidence generated after death can contribute to healthcare risk management, organizational learning, and institutional decision-making, yet the mechanisms through which these benefits acquire broader system value remain insufficiently understood. This study therefore examined relationships among medico-legal risk mitigation, financial risk mitigation, organizational learning capability, perceived system value, and institutional adoption intention. Methods: A cross-sectional survey of 1035 professionals working in healthcare, forensic medicine, pathology, legal, and administrative settings in Serbia was analyzed using exploratory and confirmatory factor analyses, structural equation modeling, and bootstrap mediation analysis. Results: Greater medico-legal risk mitigation was associated with both financial risk mitigation and perceived system value, whereas financial risk mitigation and organizational learning capability independently contributed to perceived system value. In turn, perceived system value showed the strongest direct relationship with institutional adoption intention. Mediation analyses further identified an indirect learning pathway and a sequential mechanism linking medico-legal risk mitigation with institutional adoption through financial risk mitigation and perceived system value. Conclusions: These findings position postmortem evidence as a potential source of diagnostic and organizational intelligence rather than solely as the endpoint of retrospective investigation. Its broader institutional relevance depends on the extent to which evidence generated through autopsy can be translated into risk mitigation, organizational learning, and recognized system value that supports systematic integration into healthcare practice.

Background/Objectives: Healthcare organizations face challenges in integrating environmental sustainability with financial constraints, digitalization, governance, and social responsibilities. Although financial and digital financial literacy have been associated with environmental, social, and governance (ESG) performance, the organizational mechanisms underlying these relationships remain insufficiently understood. This study examines Environmental Financial Literacy (EFL) as a sustainability-relevant decision-making capability and Governance/ESG Reporting as a potential mediator linking EFL with environmental and social sustainability. Methods: A quantitative, cross-sectional survey included 1415 healthcare employees in Serbia. Exploratory factor analysis assessed the measurement structure, followed by reliability and validity testing. Covariance-based structural equation modeling (CB-SEM) examined the hypothesized relationships, while bias-corrected bootstrapping assessed indirect effects. Results: Four distinct constructs were identified. EFL was positively associated with Governance/ESG Reporting (β = 0.658, p < 0.001), which was positively associated with Environmental Sustainability (β = 0.561, p < 0.001) and Social Sustainability (β = 0.469, p < 0.001). Governance/ESG Reporting partially mediated both relationships, with significant indirect effects on Environmental Sustainability (β = 0.369, 95% CI [0.330, 0.415]) and Social Sustainability (β = 0.369, 95% confidence interval (CI) [0.330, 0.415]). Both indirect effects exceeded the corresponding direct effects. Conclusions: Governance/ESG Reporting represents a significant statistical intermediary between EFL and organizational sustainability. The findings highlight the potential importance of integrating sustainability-relevant financial competence with governance and reporting practices in healthcare organizations, while offering a framework for further investigation across different healthcare systems.

This study examines the role of artificial intelligence (AI)-enabled digital marketing in personalizing the user experience and its impact on user engagement and loyalty in the esports industry. The rapid growth of this market has been driven by accelerated technological advancements and the increasing availability of digital platforms. Previous research indicates that AI technologies facilitate content hyper-personalization, thereby enhancing user engagement and fostering user loyalty. The study employed a quantitative research approach, with data collected through a closed-ended questionnaire administered to a sample of 253 respondents from Belgrade. The collected data were analyzed using IBM SPSS Statistics to examine the relationship between the degree of user experience personalization, user engagement, user loyalty, and the application of artificial intelligence in digital marketing. The findings indicate that AI-enabled digital marketing provides a high level of user experience personalization, which positively influences user engagement, strengthens user loyalty, and encourages repeated use of esports platforms. Given the limited body of research on the application of artificial intelligence in digital marketing within the esports industry, this study contributes to the existing literature by expanding current knowledge and offering practical recommendations for improving marketing strategies. The findings also have practical implications for managers, marketing professionals, and designers of esports platforms.

Transport companies, by carrying out regular business activities in a modern and economical way, appear as extremely large consumers of fuel and energy with a high „non-green“ footprint. Associated with corporate social responsibility, ESG reporting is becoming a settled direction toward sustainable business and planet protection from climate change. This paper aims to examine the perceptions of managers and persons responsible for reporting on ESG reports segments in transport companies in Serbia and determine the area in which more active actions must be taken to promote ESG reporting standards, under the green agenda auspices, i.e. European Green Deal. The study was conducted through a survey of 163 respondents in Serbian transport companies in the second half of 2025. Findings revealed that ESG training significantly predicts a higher likelihood of rating environmental inclusion as a relevant factor, as well as that education improves perceptual quality by increasing recognition of ESG activities.

Background: Algorithmic Operational Control increasingly shapes logistics operations through AI-enabled decision systems, yet its relationships with Human Operational Agency and innovation remain insufficiently understood. This study examines relationships among Algorithmic Operational Control, Leadership Mediation Capacity, Human Operational Agency, and perceived Logistics Innovation Quality. Methods: Survey data were collected from 3613 logistics employees across six Western Balkan countries. A split-sample design combined exploratory and confirmatory factor analyses with structural equation modeling, supplemented by organizational clustering diagnostics, multi-group CFA, and a reduced-overlap sensitivity analysis. Results: Algorithmic Operational Control was negatively associated with Human Operational Agency and Logistics Innovation Quality, whereas Leadership Mediation Capacity was positively associated with Human Operational Agency. Human Operational Agency partially mediated the association between Algorithmic Operational Control and Logistics Innovation Quality and fully mediated the association between Leadership Mediation Capacity and Logistics Innovation Quality. Organizational clustering was negligible, the measurement structure was stable across countries, and sensitivity analysis preserved all principal relationships and mediation effects. Conclusions: The findings indicate that preserving human judgment and adaptive decision-making is associated with more exploratory and long-term-oriented innovation and position leadership as an interpretive mechanism reconciling algorithmic recommendations with human judgment.

Urban competitiveness has traditionally been associated with infrastructure, economic performance, and innovation capacity, while the role of financial governance has received considerably less attention. This study examines how citizens form perceptions of urban financial integrity and whether such perceptions influence evaluations of urban attractiveness. Drawing on a governance-based framework, the study investigates the relationships among Digital Governance, Financial Transparency, Anti-Fraud Capacity, Financial Integrity, and Urban Attractiveness. Data were collected from 2764 residents of 18 digitally advanced cities across Northern and Western Europe and North America. To enhance methodological rigor, the sample was randomly divided into two equal subsamples and analyzed using Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling. The results indicate that Digital Governance is positively associated with both Financial Transparency and Anti-Fraud Capacity, while Financial Transparency and Anti-Fraud Capacity are positively associated with stronger perceptions of Financial Integrity. Financial Integrity emerged as a significant predictor of Urban Attractiveness and served as the principal mechanism through which governance practices influenced broader evaluations of cities. The findings suggest that citizens do not perceive cities as attractive simply because they are digitally advanced; rather, digital governance becomes valuable when it enhances confidence that public financial resources are managed transparently, responsibly, and in the public interest. These results identify Financial Integrity as the key mechanism through which citizens translate governance quality into perceptions of urban attractiveness.

Artificial intelligence is increasingly transforming organizational decision-making, yet the mechanisms through which AI Leadership contributes to innovation outcomes remain insufficiently understood. Drawing on dynamic capabilities theory, this study examines the relationships among AI Leadership, Digital Capability Development, Human Capital Transformation, and Innovation Efficiency. Data were collected through a cross-sectional online survey administered via the Prolific academic research platform with an international sample of 3416 employees. Exploratory factor analysis, confirmatory factor analysis, and structural equation modeling were then employed using a split-sample validation approach. The results indicate that AI Leadership positively influences Digital Capability Development, while Digital Capability Development positively affects both Human Capital Transformation and Innovation Efficiency. Contrary to expectations, AI Leadership demonstrates a significant negative direct effect on Human Capital Transformation. Mediation analysis reveals that Human Capital Transformation partially mediates the relationship between Digital Capability Development and Innovation Efficiency, whereas Digital Capability Development and Human Capital Transformation jointly provide a significant sequential mediation pathway linking AI Leadership and Innovation Efficiency. The findings suggest that innovation efficiency does not emerge directly from AI Leadership but through a multistage transformation process involving capability development and workforce adaptation. The study contributes to digital transformation and innovation research by demonstrating that innovation efficiency emerges through a sequential organizational transformation process rather than directly from AI Leadership.

The increasing integration of artificial intelligence (AI) into organizational processes has accelerated the adoption of algorithmic management, reshaping work structures across labor-intensive service organizations. However, empirical evidence remains limited regarding the simultaneous control-oriented and developmental dimensions of AI-enabled management systems. This study examines how algorithmic control and AI-supported skill development influence perceived autonomy and career security among employees in hospitality organizations. Data were collected from 441 employees working in hotel organizations in Bavaria, Germany. The data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM), bootstrapped mediation analysis, and hierarchical regression. The results suggest that control-oriented and developmental dimensions of AI are associated with different aspects of employees’ work experiences. Algorithmic control was negatively associated with perceived autonomy, whereas AI-supported skill development was positively associated with both perceived autonomy and career security. Perceived autonomy did not mediate the relationships between AI-related workplace conditions and career security, and digital literacy did not moderate the relationship between algorithmic control and perceived autonomy. The study contributes to research on algorithmic management and AI-enabled workplaces by highlighting the importance of analytically distinguishing between the control-oriented and developmental dimensions of AI when examining the organizational implications of AI-enabled management.

Zdravstveni sektor je jedan od organizaciono najsloženijih sistema, što ga čini potencijalno ranjivim na različite oblike finansijskih zloupotreba, uključujući pranje novca. Ova ranjivost je pojačana složenim tokovima sredstava između zdravstvenih ustanova, osiguravajućih društava, dobavljača medicinske opreme i farmaceutskih kompanija. U tom kontekstu, napominje se da zdravstvene organizacije mogu biti meta počinilaca koji se mogu baviti pranjem novca, pored ostalih zloupotreba. Ovaj rad ispituje moguće rizike u vezi sa pranjem novca u zdravstvenim organizacijama, kao i mehanizme za otkrivanje. Predstavljene su teorijske osnove fenomena pranja novca, zajedno sa primerima različitih prevarnih aktivnosti koje su dovele do pranja novca. Svrha rada je analiza fenomena pranja novca u zdravstvenim organizacijama kroz prizmu rizika i mehanizama za otkrivanje. Rezultati ukazuju na potrebu za multidisciplinarnim pristupom u borbi protiv pranja novca, kao i za sveobuhvatnim upravljanjem rizicima, uključujući preventivne i detektivske mere vezane za pranje novca u zdravstvenim organizacijama.

“Crowdfunding” predstavlja model grupnog finansiranja različitih tipova kompanijskih ili projekata javnih i nevladinih organizacija. U svetu su, deceniju unazad, alocirana značajna finansijska sredstva na taj način, a tipovi finansiranih projekata su najrazličitiji: od klasičnih profitno motivisanih kompanijskih projekata, do projekata lokalne samouprave, pojedinaca ili čak neformalnih grupa pojedinaca, koji su okrenuti zadovoljenju javnih potreba. S druge strane, motifs investitora su veoma različiti: od profita, preko neprofitnog finansiranja u vidu beskamatne pozajmice, pa sve do donatorskog finansiranja. Ovaj model alokacije finansijskih resursa bojažljivo je stigao i u naš region. Grupno finansiranje različitih tipova investicija u Srbiji nema dugu tradiciju. Ipak, imajući u vidu lokalnu ekonomiju, dostupnost projekata i kapacitet investitora, potrebno je podržati finansiranje na ovaj način. Svakako i ovo je vid za razvoj celokupne zajednice koji potpomaže alokaciju finansijskih resursa i od novca stvara kapital. Cilj rada jeste da proširi znanje o „Crowdfunding“-u, posebno ukazujući na njegov potencijal i izazove koji ga prate.