Hasil untuk "Personnel management. Employment management"

Kateryna Melnyk, Petra Vašaničová

Exploring international travel behavior provides valuable insights into the factors that influence travelers’ decision-making processes and motivations across generational cohorts. This paper examines differences among Slovak residents from four generations—Generation Z, Generation Y, Generation X, and the Baby Boomer generation—in their travel motivations, perceived constraints, and factors influencing travel-related decisions. The study investigates generational differences in three key areas: (1) the perceived influence of various aspects on decision-making when traveling abroad, (2) the perceived restrictiveness of potential constraining factors, and (3) the perceived importance of factors when choosing a vacation. Data were collected through an online questionnaire administered to 265 Slovak respondents between November and December 2025. The hypotheses were tested using Kruskal–Wallis tests. The results indicate that while some factors, such as price and destination safety, are important across all generations, others—such as social media influence, entertainment, and social activities—show statistically significant generational differences. These findings contribute to a better understanding of generational travel behavior and provide practical insights for tourism professionals seeking to tailor marketing strategies, products, and services to the specific preferences of different age cohorts.

Nita Kanya, Ahmad Johan

Orientation: Delays in completing work hinder operational effectiveness. Workforce diversity also presents challenges in selecting a leadership style that fosters participation and collaboration. Research purpose: This study examines how inclusive leadership and ethnic diversity influence team performance, by also considering the roles of inclusive climate, team coordination and knowledge sharing. Motivation for the study: Despite growing interest in inclusive leadership and ethnic diversity, limited research explores its role in improving team performance within diverse settings. Understanding these relationships can offer insights for better team collaboration and effectiveness. Research approach/design and method: A quantitative survey was conducted with 221 team members across 54 teams in a private university in West Java province, Indonesia. Purposive sampling targeted teams from marketing, administration, student affairs, finance and services. Hypotheses were tested using structural equation modelling based on partial least squares (SEM-PLS). Main findings: Inclusive leadership significantly enhances inclusive climate and team coordination, while ethnic diversity positively affects team coordination and knowledge sharing. In addition, inclusive climate, team coordination and knowledge sharing improve team performance, with knowledge sharing having the strongest impact. These findings highlight the importance of an inclusive environment where leadership and diversity foster collaboration and knowledge exchange to enhance performance. Practical/managerial implications: Organisations should adopt inclusive leadership practices and leverage ethnic diversity to create an inclusive climate, encourage knowledge sharing and enhance team coordination for better team performance. Contribution/value-add: This study contributes to inclusive leadership literature by demonstrating its impact on team effectiveness, offering empirical insights into optimising team collaboration and outcomes.

David Fennell, Richard William Butler

The aim of this paper is to show that sustainable tourism, the widely accepted benchmark for the present and future responsible tourism industry is, and will continue to be, a myth. The paper takes the form of a review essay and relies on discussions of concepts, comparisons, and examples rather than field research and empirical data to define the problem and draw conclusions. We use the folkloric myth of Plutus, the god of wealth and abundance, to underscore two moral themes. The first is that wealth is blind, and second that seeking wealth and abundance is an entrenched aspect of human nature, with greed (avarice) consistently destabilizing societal improvements. Science shows us what the problems are (e.g., climate change), while ethics tell us how to address these problems. However, it seems that we still cannot find our way to a sustainable tourism future. What is playing out in the theatre of sustainable tourism, therefore, is far from a comedy and much more like a tragedy, as tourism in its current forms has become too much of a good thing, rendering “sustainable” a meaningless term. Overtourism, overdevelopment, disparities, and injustices are now the norm in the maelstrom of global tourism, with no palpable end in sight.

Aanyaa Chaudhary, Sonal Khandelwal, Pankaj Deshpande et al.

Orientation: This research aims to shed light on emerging trends, key themes and future directions in the nascent field of the metaverse and sustainable human resource management (HRM). Research purpose: This study aims to explore the intersection of the metaverse and sustainable HRM through a bibliometric analysis. Motivation for the study: The rapid evolution of digital technologies and the growing emphasis on sustainability in business practices necessitate an understanding of how these domains converge. This study is motivated by the need to map the scholarly landscape of this intersection. Research approach/design and method: A bibliometric analysis was conducted using data from Scopus database. The study employed various techniques, including co-citation analysis, co-occurrence analysis and network visualisation, to identify key publications, influential authors and prevalent research themes within the intersection of the metaverse and sustainable HRM. Main findings: The analysis revealed a growing literature on the intersection. Key themes identified include the integration of virtual environments in HR practices, the role of the metaverse in enhancing engagement and training. Seminal works were mapped, highlighting the foundational contributions to this emerging field. Practical/managerial implications: This study provides valuable insights for HR professionals and organisational leaders on leveraging the metaverse for sustainable HRM practices. It underscores the potential of virtual environments to foster sustainable employee engagement, training and development. Contribution/value-add: The findings contribute to the academic discourse by outlining critical areas for future research and offering a foundational understanding of the convergence between the metaverse and sustainable HRM.

Tammy Mackenzie, Branislav Radeljic, Leslie Salgado et al.

This systematic review examines peer-reviewed studies on application of GPT in business management, revealing significant knowledge gaps. Despite identifying interesting research directions such as best practices, benchmarking, performance comparisons, social impacts, our analysis yields only 42 relevant studies for the 22 months since its release. There are so few studies looking at a particular sector or subfield that management researchers, business consultants, policymakers, and journalists do not yet have enough information to make well-founded statements on how GPT is being used in businesses. The primary contribution of this paper is a call to action for further research. We provide a description of current research and identify knowledge gaps on the use of GPT in business. We cover the management subfields of finance, marketing, human resources, strategy, operations, production, and analytics, excluding retail and sales. We discuss gaps in knowledge of GPT potential consequences on employment, productivity, environmental costs, oppression, and small businesses. We propose how management consultants and the media can help fill those gaps. We call for practical work on business control systems as they relate to existing and foreseeable AI-related business challenges. This work may be of interest to managers, to management researchers, and to people working on AI in society.

Li Yang, Mirna El Rajab, Abdallah Shami et al.

Zero-Touch Networks (ZTNs) represent a state-of-the-art paradigm shift towards fully automated and intelligent network management, enabling the automation and intelligence required to manage the complexity, scale, and dynamic nature of next-generation (6G) networks. ZTNs leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance operational efficiency, support intelligent decision-making, and ensure effective resource allocation. However, the implementation of ZTNs is subject to security challenges that need to be resolved to achieve their full potential. In particular, two critical challenges arise: the need for human expertise in developing AI/ML-based security mechanisms, and the threat of adversarial attacks targeting AI/ML models. In this survey paper, we provide a comprehensive review of current security issues in ZTNs, emphasizing the need for advanced AI/ML-based security mechanisms that require minimal human intervention and protect AI/ML models themselves. Furthermore, we explore the potential of Automated ML (AutoML) technologies in developing robust security solutions for ZTNs. Through case studies, we illustrate practical approaches to securing ZTNs against both conventional and AI/ML-specific threats, including the development of autonomous intrusion detection systems and strategies to combat Adversarial ML (AML) attacks. The paper concludes with a discussion of the future research directions for the development of ZTN security approaches.

Desere Kokt, Puseletso M. Sentso

Orientation: Workplace diversity and intercultural interaction are undisputed realities in the new world of work. This is especially true for casual dining restaurants that are labour intensive and customer-oriented, catering for culturally diverse patrons. Research purpose: The study investigated the impact of perceived metacognitive cultural intelligence of service staff on the service delivery experiences of customers at casual dining restaurants. Motivation for the study: There is a dearth of research that explores the cultural intelligence of hospitality service staff in the South African context. Research approach/design and method: A structured questionnaire was administered to a sample of 403 customers at casual dining restaurants in Bloemfontein, using QuestionPro. Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to examine the relationships between the variables. Main findings: Statistically significant negative relationships were recorded between metacognitive cultural intelligence and all the service delivery constructs. Metacognitive cultural intelligence was found to have a medium predictive power towards responsiveness and assurance as part of the service delivery construct. Practical/managerial implications: Due to the complexity of the cultural intelligence construct, the study only focused on metacognitive cultural intelligence and its impact on the service delivery experiences of casual dining patrons. The findings showed service staff lacked metacognitive cultural intelligence, hence affecting all the areas of service delivery. There is thus a persistent need for training and developing intercultural competencies. Contribution/value-add: Despite current emphasis on diversity management and cultural intelligence, the findings of the study revealed that service staff are not adequately prepared for intercultural interactions.

Tafadzwa Dzinamarira, Enos Moyo, Diego F. Cuadros et al.

<b>Introduction:</b> The objective of this narrative review is to examine the health risks associated with informal mining in Sub-Saharan Africa (SSA), with a particular focus on HIV prevention. It aims to review existing interventions targeting this population and identify challenges and opportunities for improvement. <b>Methods:</b> A comprehensive literature review was conducted using databases such as Google Scholar, PubMed, ScienceDirect, and Cochrane Library. Studies and reports published between 2000 and 2023 that focused on occupational health risks and HIV prevention interventions in the informal mining sector of SSA were included in the analysis. <b>Results:</b> Informal mining in SSA presents significant health risks to workers, including exposure to hazardous substances, poor working conditions, and limited access to healthcare. These factors, combined with the high prevalence of HIV/AIDS in the region, make informal miners particularly vulnerable to infection. The review identified several key themes related to occupational health risks, such as poor environmental and sanitation conditions, increased vulnerability due to factors like poverty and lack of education, and limited access to healthcare services. A variety of interventions have been implemented to address HIV prevention among informal miners in SSA. These include behavioral strategies like peer education and social marketing campaigns, as well as biomedical interventions such as counseling, testing, and pre-exposure prophylaxis (PrEP). However, challenges persist in delivering effective HIV prevention services to this population. These challenges include restricted access to healthcare, the high mobility of miners, limited resources, and stigma associated with HIV. <b>Conclusions:</b> The findings of this review highlight the urgent need for integrated health services and tailored interventions that address the specific issues faced by informal miners in SSA. Community-based and culturally sensitive programs, developed in collaboration with mining communities, are essential for effective HIV prevention. Future research should evaluate the long-term impact of interventions and explore their scalability. To improve intervention effectiveness and sustainability, stakeholders should focus on community engagement, strengthening health systems, and addressing structural barriers. A multi-sectoral approach is necessary to tackle the broader determinants of health in mining communities.

Aiman Sultan, Ammara Mubashar, Um-e-Rubbab

The study's objectives are to identify the characteristics of customers and FinTech apps that resist using FinTech services in the era of technology. Consumer characteristics studied in this study were consumer-perceived digital self-efficacy and consumer-perceived digital knowledge. FinTech characteristics were perceived digital security concerns and perceived digital complexity.  Moreover, the research aimed to determine if consumers' techno-stress moderates the relationship between consumer characteristics and their resistance to FinTech. The model was supported by innovation resistance theory. Convenience sampling was used to gather data from 384 bank account holders from Rawalpindi and Islamabad. Adapted questionnaires with five-point Likert scales for each variable were used. Results indicated that all consumer characteristics have a negative and significant relationship with FinTech resistance. However, among FinTech characteristics, only perceived digital complexity positively influenced FinTech resistance, and the impact of perceived digital complexity was not found on FinTech resistance. The moderating role of techno-stress among all consumer characteristics and FinTech resistance was supported. The Moderating role of techno-stress was supported between FinTech characteristics i.e. perceived digital security and FinTech resistance but not supported between perceived digital concern and FinTech resistance. The findings suggest that educational initiatives, such as workshops, seminars, and online resources, can empower users with knowledge about FinTech solutions, thereby reducing perceived risk and resistance. Regular app reviews will help the organization adapt to evolving challenges and best practices in FinTech adoption.

Roman Lukyanenko

In an era dominated by information technology, the critical discipline of data management remains undervalued compared to the innovations it enables, such as artificial intelligence and social media. The ambiguity surrounding what constitutes data management and its associated activities complicates efforts to explain its importance and ensure data are collected, stored and used in a way that maximizes value and avoids failures. This paper aims to address these shortcomings by presenting a simple framework for understanding data management, referred to as MAGIC. MAGIC encompasses five key activities: Modeling, Acquisition, Governance, Infrastructuring, and Consumption support tasks. By delineating these components, the MAGIC framework provides a clear, accessible approach to data management that can be used for teaching, research and practice.

Jinyang Jiang, Xiaotian Liu, Tao Ren et al.

We introduce a deep reinforcement learning (DRL) approach for solving management problems including inventory management, dynamic pricing, and recommendation. This DRL approach has the potential to lead to a large management model based on certain transformer neural network structures, resulting in an artificial general intelligence paradigm for various management tasks. Traditional methods have limitations for solving complex real-world problems, and we demonstrate how DRL can surpass existing heuristic approaches for solving management tasks. We aim to solve the problems in a unified framework, considering the interconnections between different tasks. Central to our methodology is the development of a foundational decision model coordinating decisions across the different domains through generative decision-making. Our experimental results affirm the effectiveness of our DRL-based framework in complex and dynamic business environments. This work opens new pathways for the application of DRL in management problems, highlighting its potential to revolutionize traditional business management.

Wentao Zhang, Yilei Zhao, Shuo Sun et al.

Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits. Reinforcement learning (RL) has recently shown its potential to train profitable agents for PM through interacting with financial markets. However, existing work mostly focuses on fixed stock pools, which is inconsistent with investors' practical demand. Specifically, the target stock pool of different investors varies dramatically due to their discrepancy on market states and individual investors may temporally adjust stocks they desire to trade (e.g., adding one popular stocks), which lead to customizable stock pools (CSPs). Existing RL methods require to retrain RL agents even with a tiny change of the stock pool, which leads to high computational cost and unstable performance. To tackle this challenge, we propose EarnMore, a rEinforcement leARNing framework with Maskable stOck REpresentation to handle PM with CSPs through one-shot training in a global stock pool (GSP). Specifically, we first introduce a mechanism to mask out the representation of the stocks outside the target pool. Second, we learn meaningful stock representations through a self-supervised masking and reconstruction process. Third, a re-weighting mechanism is designed to make the portfolio concentrate on favorable stocks and neglect the stocks outside the target pool. Through extensive experiments on 8 subset stock pools of the US stock market, we demonstrate that EarnMore significantly outperforms 14 state-of-the-art baselines in terms of 6 popular financial metrics with over 40% improvement on profit.

Arnaf Aziz Torongo, Mohsen Toorani

Blockchain-based decentralized identity management provides a promising solution to improve the security and privacy of healthcare systems and make them scalable. Traditional Identity Management Systems are centralized, which makes them single-point-of-failure, vulnerable to attacks and data breaches, and non-scalable. In contrast, decentralized identity management based on the blockchain can ensure secure and transparent access to patient data while preserving privacy. This approach enables patients to control their personal health data while granting permission for medical personnel to access specific information as needed. We propose a decentralized identity management system for healthcare systems named BDIMHS based on a permissioned blockchain with Hyperledger Indy and Hyperledger Aries. We develop further descriptions of required functionalities and provide high-level procedures for network initialization, enrollment, registration, issuance, verification and revocation functionalities. The proposed solution improves data security, privacy, immutability, interoperability, and patient autonomy by using selective disclosure, zero-knowledge proofs, Decentralized Identifiers, and Verifiable Credentials. Furthermore, we discuss the potential challenges associated with implementing this technology in healthcare and evaluate the performance and security of the proposed solution.

Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho

The passive management approach offers conservative investors a way to reduce risk concerning the market. This investment strategy aims at replicating a specific index, such as the NASDAQ Composite or the FTSE100 index. The problem is that buying all the index's assets incurs high rebalancing costs, and this harms future returns. The index tracking problem concerns building a portfolio that follows a specific benchmark with fewer transaction costs. Since a subset of assets is required to solve the index problem this class of problems is NP-hard, and in the past years, researchers have been studying solution approaches to obtain tracking portfolios more practically. This work brings an analysis, spanning the last decade, of the advances in mathematical approaches for index tracking. The systematic literature review covered important issues, such as the most relevant research areas, solution methods, and model structures. Special attention was given to the exploration and analysis of metaheuristics applied to the index tracking problem.

Sadia Ashraf, Sajjad Ahmad Afridi, Kaleem Saifullah

Climate change has forced organizations to focus more on sustainable business practices, and employees' green behavior in such cases is of great importance. However, employees' green behavior is not simple and straightforward. Leadership and working environment in this regard need to be investigated. For this purpose, the present study assessed the role of servant leadership on employees’ voluntary green behavior. Furthermore, the mediating role of psychological empowerment has also been examined. Hypotheses were developed with the help of Self-determination theory and data were collected from 150 employees of the tourism and hotel industry. Empirical data confirms that servant leadership significantly fosters employees’ voluntary green behavior. Moreover, findings revealed that psychological empowerment partially mediates the link between SL-EVGB. This study has an important implication for the tourism and hotel industry that is to enhance EVGB tourism companies should use SL style. Moreover, tourism companies should empower their employees psychologically so that they work in an environment where they can take business-related decisions easily.

Radu Burlacu, Patrice Fontaine, Sonia Jimenez-Garcès

We use the Grossman \& Stiglitz (1980) framework to build a reference portfolio for uninformed investors and employ this portfolio to assess the performance of actively managed equity mutual funds. We propose an empirical methodology to construct this reference portfolio using the information on prices and supply. We show that mutual funds provide, on average, an insignificant alpha of 23 basis points per year when considering this portfolio as a reference. With the stock market index as a proxy for the market portfolio, the average fund alpha is negative and highly significant, --128 basis points per year. The results are robust when considering various subsets of funds based on their characteristics and their degree of selectivity. In line with rational expectations equilibrium models considering asymmetrically informed investors and partially revealing equilibrium prices, our study supports that active management adds value for uniformed investors.

Rogerio Rossi, Kechi Hirama

Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.

Caspar Schmitt, Boyang Yu, Thomas Kuhr

A workflow describes the entirety of processing steps in an analysis, such as employed in many fields of physics. Workflow management makes the dependencies between individual steps of a workflow and their computational requirements explicit, such that entire workflows can be executed in a stand-alone manner. Though the use of workflow management is widely recommended in the interest of transparency, reproducibility and data preservation, choosing among the large variety of available workflow management tools can be overwhelming. We compare selected workflow management tools concerning all relevant criteria and make recommendations for different use cases.

Mochamad Muslich Haji Sodiq

This paper aims to understand the suitability of the regulations, the implementation of the ASN Law has implications for changing the management paradigm of ASN management. Personnel dispute resolution is one of the things that is of particular concern because of the increasingly complex problems faced. This type of normative legal research uses a statutory approach. Based on the results of the discussion, it was found that administrative efforts were deemed capable of providing answers for the resolution of personnel disputes, but the existing provisions limit the use of these administrative efforts, even though administrative efforts are a reflection of the spirit of deliberation to reach consensus which is characteristic of the Indonesian nation. This study tries to analyze whether administrative efforts in resolving employment disputes are in accordance with legal objectives and whether restrictions on administrative efforts are still relevant at this time. It is hoped that from this research, norm formulations can provide legal certainty in resolving employment disputes. Administrative efforts according to the provisions in the ASN Law are expected to be a solution for the resolution of increasingly complex personnel disputes, but this is contrary to the provisions in the PP on Civil Servant Discipline which limit the use of administrative efforts, so that according to the author it is no longer relevant to be implemented under current conditions. D OI: https://doi.org/10.26905/idjch .v12i1.4480 . How to cite item: Sodiq, M. M. H. (2021). Upaya administratif dalam penyelesaian sengketake pegawaian. Jurnal Cakrawala Hukum , 12(1). 60-68.doi:10.26905/idjch.v12i1.4480.