Hasil untuk "Personnel management. Employment management"

K. Legge

G. Cole

Anton Grobler, Eben Enslin

Orientation: Organisational leadership (OL) is a vital yet complex, context-specific phenomenon, mainly conceptualised and measured from a Western-centric perspective. Research purpose: This study develops and validates a context-specific instrument, the organisational leadership scale (OLS), to measure OL. Motivation for the study: Leadership is often treated as a universal concept, measured by decontextualised Western instruments, overlooking contextual nuances. This study addresses this gap by creating an emic tool for OL assessment. Research approach/design and method: Adopting a positivistic paradigm, this quantitative, cross-sectional research comprises two studies. Study 1 used interactive qualitative analysis (IQA) to identify 32 unidirectional items. Study 2 validated a refined 19-item instrument, testing both unidirectional and multidirectional items, with measurement invariance assessed across private and public sectors. Main findings: Two equivalent OLS versions were developed: a unidimensional model with 19 unidirectional items and a bifactor model with constructive and destructive OL sub-factors (multidirectional items). Wording direction slightly influenced responses, but no measurement invariance was found. Practical/managerial implications: The OLS offers reliable tools for leadership development and coaching, enhancing methodological approaches through multidirectional items and bifactor analysis. Contribution/value-add: This study provides a context-specific, emic instrument for assessing OL, available in two validated versions, advancing leadership research and practice, also globally, for instance, in similar collectivistic cultures.

Juan Huang, Aimi Binti Anuar

To address the pervasive challenges of resource inefficiency and static management in the hospitality sector, this study proposes a novel management framework that synergistically integrates Model Predictive Control (MPC) with Green Human Resource Management (GHRM). Methodologically, the framework establishes a dynamic closed-loop architecture that cyclically links environmental sensing, predictive optimization, plan execution and organizational learning. The MPC component generates data-driven forecasts and optimal control signals for resource allocation. Crucially, these technical outputs are operationally translated into specific, actionable directives for employees through integrated GHRM practices, including real-time task allocation via management systems, incentives-aligned performance metrics, and structured environmental training. This practical integration ensures that predictive optimization is directly coupled with human behavior. Theoretically, this study redefines hospitality operations as adaptive sociotechnical systems, and advances the hospitality energy-saving management framework by formally incorporating human execution feedback, predictive control theory, and dynamic optimization theory. Empirical validation across a sample of 40 hotels confirms the framework’s effectiveness, demonstrating significant reductions in daily average water consumption by 15.5% and electricity usage by 13.6%. These findings provide a robust, data-driven paradigm for achieving sustainable operational transformations in the hospitality industry.

Muhammad Roisul Basyar, Antun Mardiyanta, Erna Setijaningrum

The Majapahit House heritage area in Trowulan, Indonesia, represents a significant initiative where local communities, government agencies, and cultural organizations collaborate to preserve traditional architecture while developing cultural tourism. This study examines how these stakeholders interact in implementing heritage tourism governance, focusing on the challenges of coordinating preservation efforts with development objectives. Through semi-structured interviews with key stakeholders and field observations, we analyze how different actors influence program implementation and outcomes. Our analysis employs interest–influence matrices to identify how stakeholders’ varying capabilities affect program success, while actor linkage analysis reveals specific patterns of collaboration and conflict in governance processes. Findings demonstrate how implementation success varies across villages based on local leadership effectiveness, resource coordination, and community engagement levels. This study reveals that successful heritage tourism development requires balancing provincial directives with community initiatives, particularly in aligning preservation requirements with local development needs. This research advances understanding of stakeholder dynamics in heritage tourism by providing a framework for analyzing collaborative governance in cultural contexts while offering practical insights for improving stakeholder coordination. Recommendations focus on strengthening institutional frameworks and enhancing coordination mechanisms between government agencies and community organizations.

Charles Cobbinah, Willie Chinyamurindi

Orientation: The informal sector is argued as an important context of work for African immigrants in South Africa. More research is needed to understand this important context of work. Research purpose: The study explores how immigrants make sense of their work experience as informed by the taint associated with dirty work in the South African informal sector. Motivation for the study: Strategies need to be in place to assist those in challenging work contexts, such as dirty work. Research approach/design and method: The study used a qualitative research approach, relying on interviews with 27 immigrants working within the informal sector in the Eastern Cape province of South Africa. Main findings: Three key narratives emerged: (1) immigrants experienced stigma linked to the taint of dirty work in the informal sector; (2) this stigma led to mental strain; and (3) immigrants responded with agentic, proactive behaviours to cope. Practical/managerial implications: Targeted support interventions are needed to reduce the stigma of dirty work. Advocacy and educational campaigns can help reframe such work as essential to societal well-being and local economies. Contribution/value-add: This study amplifies the often-overlooked voices of workers in informal, stigmatised labour. It offers new insights into how occupational taint is experienced, resisted, and negotiated in South Africa’s informal economy, enriching Global South perspectives.

Vahid Salehi, Josef Vilsmeier, Shirui Wang

Today, products are no longer isolated artifacts, but nodes in networked systems. This means that traditional, linearly conceived life cycle models are reaching their limits: Interoperability across disciplines, variant and configuration management, traceability, and governance across organizational boundaries are becoming key factors. This collective contribution classifies the state of the art and proposes a practical frame of reference for SoS lifecycle management, model-based systems engineering (MBSE) as the semantic backbone, product lifecycle management (PLM) as the governance and configuration level, CAD-CAE as model-derived domains, and digital thread and digital twin as continuous feedback. Based on current literature and industry experience, mobility, healthcare, and the public sector, we identify four principles: (1) referenced architecture and data models, (2) end-to-end configuration sovereignty instead of tool silos, (3) curated models with clear review gates, and (4) measurable value contributions along time, quality, cost, and sustainability. A three-step roadmap shows the transition from product- to network- centric development: piloting with reference architecture, scaling across variant and supply chain spaces, organizational anchoring (roles, training, compliance). The results are increased change robustness, shorter throughput times, improved reuse, and informed sustainability decisions. This article is aimed at decision-makers and practitioners who want to make complexity manageable and design SoS value streams to be scalable.

Travon Lucius, Christian Koch, Jacob Starling et al.

We present a reinforcement-learning (RL) framework for dynamic hedging of equity index option exposures under realistic transaction costs and position limits. We hedge a normalized option-implied equity exposure (one unit of underlying delta, offset via SPY) by trading the underlying index ETF, using the option surface and macro variables only as state information and not as a direct pricing engine. Building on the "deep hedging" paradigm of Buehler et al. (2019), we design a leak-free environment, a cost-aware reward function, and a lightweight stochastic actor-critic agent trained on daily end-of-day panel data constructed from SPX/SPY implied volatility term structure, skew, realized volatility, and macro rate context. On a fixed train/validation/test split, the learned policy improves risk-adjusted performance versus no-hedge, momentum, and volatility-targeting baselines (higher point-estimate Sharpe); only the GAE policy's test-sample Sharpe is statistically distinguishable from zero, although confidence intervals overlap with a long-SPY benchmark so we stop short of claiming formal dominance. Turnover remains controlled and the policy is robust to doubled transaction costs. The modular codebase, comprising a data pipeline, simulator, and training scripts, is engineered for extensibility to multi-asset overlays, alternative objectives (e.g., drawdown or CVaR), and intraday data. From a portfolio management perspective, the learned overlay is designed to sit on top of an existing SPX or SPY allocation, improving the portfolio's mean-variance trade-off with controlled turnover and drawdowns. We discuss practical implications for portfolio overlays and outline avenues for future work.

Jesus Silva-Rodriguez, Xingpeng Li

The alternating direction method of multipliers (ADMM) is a powerful algorithm for solving decentralized optimization problems including networked microgrid energy management (NetMEM). However, its performance is highly sensitive to the selection of its penalty parameter \r{ho}, which can lead to slow convergence, suboptimal solutions, or even algorithm divergence. This paper evaluates and compares three district ADMM formulations to solve the NetMEM problem, which explore different methods to determine appropriate stopping points, aiming to yield high-quality solutions. Furthermore, an adaptive penalty heuristic is also incorporated into each method to analyze its potential impact on ADMM performance. Different case studies on networks of varying sizes demonstrate that an objective-based ADMM approach, denominated as OB-ADMM, is significantly more robust to the choice of \r{ho}, consistently yielding solutions closer to the centralized optimal benchmark by preventing premature algorithm stopping.

I Komang Gane Arinata, Darwin Darwin

The formulation of the problem in this study is that there is a phenomenon that occurs in the field that the housing and settlement area services of South Sumatra Province have problems such as minimal employee motivation due to demands to fulfill their rights and obligations as state civil servants, as well as a decreased level of enthusiasm so that it becomes an obstacle for the realization of the performance process in completing the work given. This study aims to determine the motivation and competence of the employees of the Department of Housing and Residential Areas of South Sumatra Province. Sampling of 53 respondents in this study using simple random sampling technique. The data analysis technique used multiple linear analysis with the help of the IBM SPSS 22 program. The results obtained both partially and simultaneously that work motivation and competence have a positive and significant effect on employee performance in the Housing and Settlement Area Office of South Sumatra Province.

Hanugerah Kristiono Liestiandre, Alastair M. Morrison, Ni Nyoman Kerti Yasa et al.

The level of success in tourism is gauged by several metrics; however, the most widely used is the level of tourist arrivals. However, this research answered the call for greater investigation of the impacts of qualitative factors and intangible cultural–heritage assets on destination performance. The primary research purpose was to analyze the effect of implementing a local well-being philosophy (Tri Hita Karana) on tourist revisit intentions for Bali and the mediation of destination quality and destination image. A research model was developed to examine the relationships among local wisdom (TKH), destination quality, destination image, and revisit intentions. Data were collected via a survey of 520 digital nomadic tourists and analyzed using SmartPLS 4. The results indicated that the implementation of THK positively and significantly affected revisit intentions, destination image, and destination quality. Destination image and destination quality had positive and significant effects on revisit intentions, and destination image and destination quality also significantly mediated the effect of THK implementation on revisit intentions. The findings suggested that implementing local wisdom values such as THK in the management of a destination makes visitors feel more favorably about the quality and image of the destination and they have the intention to revisit.

Lijuan Su, Andrei Kirilenko, Svetlana Stepchenkova

Spatial competition considerations are important in hotel location selection. This study proposes and demonstrates a method of colocation network analysis to quantify the potential encroaching effect of spatial inter- and intra-competition between units of business brands that seek expansion. The environmental context of the study is a network of the top five budget hotel brands in the Beijing hotel market. The results reveal that brands implement different strategies in their hotel placement, which are subject to different levels of the encroaching effect. However, the method is applicable in a variety of hospitality settings, specifically in those that involve the development strategies of chain brands. The simulation capability of the method can assist hospitality brands in assessing the outcomes of a proposed development and, thus, aid hoteliers in the spatial allocation of new units with the least adverse effects on their existing business networks.

Ji Hoon Kim, Myungshin Im, Hyung Mok Lee et al.

Center for the Gravitational-Wave Universe at Seoul National University has been operating its main observational facility, the 7-Dimensional Telescope (7DT) since October 2023. Located at El Sauce Observatory in Chilean Rio Hurtado Valley, 7DT consists of 20 50-cm telescopes equipped with 40 medium-band filters of 25 nm full width at half maximum along with a CMOS camera of 61 megapixels. 7DT produces about 1 TB per night of spectral mapping image data including calibration, and the byproduct of the data reduction pipeline once our planned three layered surveys (Reference Imaging Survey, Wide Field Survey, and Intensive Monitoring Survey) start in 2024. We are expecting to generate 1 PB per year by combining raw data, reduced data, and data products (e.g. calibrated stacked images, spectral cubes, and object catalogs). To incorporate this huge amount of data, we now have a data storage for 1 PB which we will increment by 1 PB per year. We also have a high-performance computation facility that is equipped with 2 NVIDIA A100 GPU cards since we plan to carry out real-time data reduction and analysis for follow-up observation data of gravitational wave events. To incorporate this, we established a 400 Mbps network connection between the facilities in Korea and Chile. Taking advantage of the high-performance network, we have been carrying out fully remote operations since October 2023. In this talk, we present details of designing, planning, and executing the ground-based telescope facility project, especially within low-budget academic environments. While we cover as much ground as possible, we will emphasize human resource management, project risk management, and financial contingency management.

Ali Chouman, Dimitrios Michael Manias, Abdallah Shami

Experimentation in practical, end-to-end (E2E) next-generation networks deployments is becoming increasingly prevalent and significant in the realm of modern networking and wireless communications research. The prevalence of fifth-generation technology (5G) testbeds and the emergence of developing networks systems, for the purposes of research and testing, focus on the capabilities and features of analytics, intelligence, and automated management using novel testbed designs and architectures, ranging from simple simulations and setups to complex networking systems; however, with the ever-demanding application requirements for modern and future networks, 5G-and-beyond (denoted as 5G+) testbed experimentation can be useful in assessing the creation of large-scale network infrastructures that are capable of supporting E2E virtualized mobile network services. To this end, this paper presents a functional, modular E2E 5G+ system, complete with the integration of a Radio Access Network (RAN) and handling the connection of User Equipment (UE) in real-world scenarios. As well, this paper assesses and evaluates the effectiveness of emulating full network functionalities and capabilities, including a complete description of user-plane data, from UE registrations to communications sequences, and leads to the presentation of a future outlook in powering new experimentation for 6G and next-generation networks.

Saumya Kothari, Harsh Shah, Utkarsh Prajapati et al.

Mid-cap companies, generally valued between \$2 billion and \$10 billion, provide investors with a well-rounded opportunity between the fluctuation of small-cap stocks and the stability of large-cap stocks. This research builds upon the long-short equity approach (e.g., Michaud, 2018; Dimitriu, Alexander, 2002) customized for mid-cap equities, providing steady risk-adjusted returns yielding a significant Sharpe ratio of 2.132 in test data. Using data from 2013 to 2023, obtained from WRDS and following point-in-time (PIT) compliance, the approach guarantees clarity and reproducibility. Elements of essential financial indicators, such as profitability, valuation, and liquidity, were designed to improve portfolio optimization. Testing historical data across various markets conditions illustrates the stability and resilience of the tactic. This study highlights mid-cap stocks as an attractive investment route, overlooked by most analysts, which combine transparency with superior performance in managing portfolios.

V. Konovalova

The article is devoted to a study from the point of view of personnel management of the phenomenon of «quiet quitting» — a way of thinking in which employees deliberately limit their work activities to a description of their work, meet, but do not exceed pre-set expectations, never voluntarily take on additional tasks and do it all simply to maintain their current employment status, prioritizing their well-being over the achievement of organizational goals. Based on the generalization of the results of global and national studies, the main reasons for the spread of this phenomenon (including among young employees), as well as potential business risks that may arise as a result of «quiet quitting», if this phenomenon persists for a long time, are highlighted. The conclusion is substantiated that the phenomenon of «quiet quitting» is only partly a consequence of work during the pandemic, representing part of a larger picture of rethinking the institution of work. The interrelation of the problem of «quiet quitting» and the application of the practices of «quiet firing» and «quiet hiring» by organizations, their possible consequences for organizations and personnel are analyzed. Some proposals for the prevention of «quiet quitting» are presented, concerning the management of burnout, promotion of work-life balance, support for the mental health of employees and their development.

Despoina Karagianni, Olga Lainidi, Anthony Montgomery

Globally, adolescents and young adults are calling for action from governments on global humanitarian crises, taking on leadership roles that have contributed to redefining leadership in terms of behavior and action rather than qualities and status. However, there is a significant gap with regard to the conceptual and theoretical understanding of how adolescents and young adults experience leadership. In this paper, we present the results of two qualitative studies that examined the phenomenon of leadership among adolescents and young adults. Study 1 involved interviews with young adult leaders to analyze the fit between traditional leadership theories and their experience of leadership. Following this, Study 2 utilized the results from Study 1 to design a diary study of adolescents attending a leadership program. Both studies revealed that leadership is experienced as a pathway that involves three mechanisms of transferability: sensemaking, action and reflection. The findings of the studies are contrasted with traditional models of leadership that underrepresent the developmental nature of leadership and the transferability of leadership skills across different environments.

Kalle Koivisto, Toni Taipalus

Knowledge is considered an essential resource for organizations. For organizations to benefit from their possessed knowledge, knowledge needs to be managed effectively. Despite knowledge sharing and management being viewed as important by practitioners, organizations fail to benefit from their knowledge, leading to issues in cooperation and the loss of valuable knowledge with departing employees. This study aims to identify hindering factors that prevent individuals from effectively sharing and managing knowledge and understand how to eliminate these factors. Empirical data were collected through semi-structured group interviews from 50 individuals working in an international large IT organization. This study confirms the existence of a gap between the perceived importance of knowledge management and how little this importance is reflected in practice. Several hindering factors were identified, grouped into personal social topics, organizational social topics, technical topics, environmental topics, and interrelated social and technical topics. The presented recommendations for mitigating these hindering factors are focused on improving employees' actions, such as offering training and guidelines to follow. The findings of this study have implications for organizations in knowledge-intensive fields, as they can use this knowledge to create knowledge sharing and management strategies to improve their overall performance.

Soumyadip Sarkar

Portfolio management is an essential component of investment strategy that aims to maximize returns while minimizing risk. This paper explores several portfolio management strategies, including asset allocation, diversification, active management, and risk management, and their importance in optimizing portfolio performance. These strategies are examined individually and in combination to demonstrate how they can help investors maximize alpha and minimize beta. Asset allocation is the process of dividing a portfolio among different asset classes to achieve the desired level of risk and return. Diversification involves spreading investments across different securities and sectors to minimize the impact of individual security or sector-specific risks. Active management involves security selection and risk management techniques to generate excess returns while minimizing losses. Risk management strategies, such as stop-loss orders and options strategies, aim to minimize losses in adverse market conditions. The importance of combining these strategies for optimizing portfolio performance is emphasized in this paper. The proper implementation of these strategies can help investors achieve their investment goals over the long-term, while minimizing exposure to risks. A call to action for investors to utilize portfolio management strategies to maximize alpha and minimize beta is also provided.

Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido

Business Process Management Systems (BPMS) represent a technology that automates business processes, connecting users to their tasks. There are many business processes within the port activity that can be improved through the use of more efficient technologies and BPMS in particular, which can help to coordinate and automate critical processes such as cargo manifests, customs declaration the management of scales, or dangerous goods, traditionally supported by EDI technologies. These technologies could be integrated with BPMS, modernizing port logistics management. The aim of this work is to demonstrate, through a systematic analysis of the literature, the state of the art in BPMS research in the port industry. For this, a systematic review of the literature of the last ten years was carried out. The works generated by the search were subsequently analysed and filtered. After the investigation, it is discovered that the relationship between BPMS and the port sector is practically non-existent which represents an important gap to be covered and a future line of research.