Hasil untuk "Personnel management. Employment management"

Ahmed Hassan Abdou

While prior research has examined the role of smart technologies (e.g., IoT and AI) in sustainability, the combined influence of IoT, AI, and organizational capabilities on hotel sustainable performance, particularly through the mediating roles of data-driven decision-making and innovation capability, remains underexplored. This study investigates how the integration of smart technologies, specifically the Internet of Things (IoT) and artificial intelligence (AI), as well as dynamic managerial capabilities focusing on data-driven decision-making (DDM) and innovation capability (IC), enhances hotel sustainable performance (HSP) within the context of Saudi Arabia’s hospitality sector. Grounded in the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), the research develops and tests a conceptual model that explores both the mediating roles of DDM and IC in the link between IoT and HSP and the moderating role of AI application in the relationships between IoT and DDM, IC, and HSP. Using data collected from 312 managers of four- and five-star hotels across Saudi Arabia, the study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the hypothesized relationships. The results reveal that IoT has a significant positive effect on HSP, DDM, and IC. Further, the IoT-HSP relationship is partially mediated by both DDM and IC. Furthermore, AI significantly strengthens the relationships between IoT and DDM, IoT and IC, and IoT and HSP, highlighting AI’s crucial role as an enabler of digital transformation and sustainability. The findings extend the RBV and DCT by demonstrating how technological resources, when combined with dynamic managerial capabilities, lead to superior sustainability outcomes. Practically, the study emphasizes that hotels must pair digital adoption with employee training, innovation culture, and AI-powered analytics to enhance HSP.

Hohjin Im

Aviation accounts for a disproportionate share of tourism-related carbon emissions. Many travelers express environmental concern but continue to fly, reflecting the well-documented attitude–behavior gap. This study examines the concept of flight behavioral integrity (i.e., the alignment between professed avoidance of air travel for environmental reasons and actual flying behavior) to assess whether integrity profiles predict support for climate policy. Drawing on nationally representative survey data from Germany (N = 2410), respondents were classified into four groups based on flight avoidance attitudes and reported flight activity in the past 12 months. An elastic-net multinomial regression tested psychological predictors of group membership, and factorial ANCOVAs assessed differences in environmental and climate policy support. Results showed that flight avoidance attitudes, rather than recent flying behavior, were the primary predictors of both integrity profiles and policy support. Flight-avoidant respondents consistently reported stronger policy endorsement, regardless of whether they had flown. Contrary to expectations, recent fliers expressed marginally higher support than non-fliers, potentially reflecting compensatory mechanisms or sociodemographic factors. Findings suggest that there are opportunities for tourism operators and policymakers to engage travelers through value-based (vs. purely behavioral) sustainability initiatives.

Cyril D. Xatse, Matsidiso N. Naong

Orientation: The quality of service (QOS) delivery within Ghana’s Local Government Service plays a crucial role in the country’s socio-economic development. Research purpose: This study investigates how human resource quality (HRQ) and employee public service (EPS) motivation affect the QOS delivery in Ghana’s Local Government Service, to identify actionable insights to enhance efficiency and effectiveness in the sector. Motivation for the study: Ghana’s Local Government Service has faced challenges in delivering effective public services because of resource constraints and workforce-related issues. Research approach/design and method: This study utilised a cross-sectional survey design, sampling 781 employees from the Local Government Service in Ghana. Data were analysed using descriptive and inferential statistics, including correlation and regression analyses, to assess the relationships among the variables. Main findings: Human Resource Quality significantly predicts QOS (β = 0.6535, p  0.001), indicating the critical role of Human Resource (HR) quality in enhancing service delivery. However, EPS did not significantly predict QOS (β = 0.0234, p  0.05) and did not moderate the relationship between HRQ and QOS, suggesting that motivation alone does not substantially impact service quality perceptions in this setting. Practical/managerial implications: Local Government Service should prioritise HR development through training and structured recruitment practices to improve service quality. Contribution/value-add: This study demonstrated that HR quality is a valuable asset for service delivery. It offers a practical model for enhancing service delivery through a combined focus on skill acquisition and employee support.

Rongbin Yang, Roshnee Ramsaran, Santoso Wibowo

Food and agricultural products shape tourism by linking communities and regions to leisure travel. Consumers’ perceptions of a country and its food products can shape their attitudes and behaviors toward it as a travel destination. This study compares the effects of general country image (GCI), product–country image (PCI), and product image (PI) on Chinese dairy consumers’ engagement with the country of origin as a travel destination (TDE). It also tests whether TDE mediates the effects of country images on consumer-based brand equity (BEQ) for dairy products. We analyzed 573 valid online responses from mainland China, a major market for dairy products and outbound tourism, using covariance-based structural equation modeling (CB-SEM) in AMOS 31. The results identify TDE as a key factor that fully mediates the effect of GCI on BEQ. PCI and PI show both direct effects on BEQ and indirect effects through TDE. The proposed framework links country evaluations to destination engagement and brand outcomes, highlighting opportunities for integrated cross-sector promotion. This research is among the first to examine co-marketing between the tourism sector and the dairy industry through a country-image perspective. It provides practical guidance for cross-sector strategy and contributes to ongoing debates in both fields.

Dongqi Shi, Panuwat Phakdee-auksorn

As destinations featured in films and television programs attract growing numbers of tourists, exploring the factors that sustain film tourists’ loyalty and advocacy has become increasingly important. This study explores the determinants of post-visit behaviors through the lens of cognitive appraisal theory (CAT), investigating how perceived authenticity, perceived value, and satisfaction shape revisit and word-of-mouth (WOM) intentions among 436 Chinese film tourists visiting Thailand. Data were analyzed using structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to capture both symmetrical and configurational effects. The SEM results reveal that perceived authenticity, perceived value, and satisfaction significantly enhance WOM intentions. The complementary fsQCA findings reveal multiple causal pathways leading to high revisit and WOM intentions. The study advances theoretical understanding by demonstrating the applicability of CAT to film tourism and showing how tourists’ cognitive evaluations and emotional appraisals jointly shape their post-visit behavioral intentions. The findings also offer practical guidance for developing authenticity-based strategies to foster loyalty and positive destination advocacy.

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Patrick Prieur, Aline Belloni

With the evolution of process approaches within organizations, the increasing importance of quality management systems (like ISO 9001) and the recent introduction of ISO 30401 for knowledge management, we examine how these different elements converge within the framework of an Integrated Management System. The article specifically demonstrates how an ISO30401-compliant knowledge management system can be implemented by deploying the mechanisms of the SECI model through the steps of the PDCA cycle as applied in the processes of the integrated management system.

Eduardo Moraes Sarmento, Ana Lorga da Silva

Small island developing states (SIDSs) traditionally face a set of challenges like the weak and highly fragile economic configuration, environmental issues, and a traditional dependence on a few economic activities forcing them to open the economy to the exterior. Therefore, their development model, like in Cape Verde, depends on migration, remittances, dependence on aid, tourism, and state employment. The current research offers an insight into the nature of Cape Verde’s economy as a SIDS economy and the degree to which the country has been relying on tourism receipts, external remittances from migrations, aid programs, and government services. Understanding Cape Verde’s development model is important to clarify the challenges the country faces and its development needs to gather a long-term resilience and to understand if it is changing from a MIRAB (Migrations, Remittances, Aid, and Bureaucracy) model into another one.

Mónica Moreno-Gutiérrez, Víctor Hernández-Trejo, Ramón Valdivia-Alcalá et al.

Balandra, one of the most popular beaches in La Paz, Baja California Sur, was declared a flora and fauna protection area in 2012, and in 2019, the Mexican government chose it as the best beach in Mexico during the Tianguis Turistico celebrated on that year. Because of this latter distinction, this beach currently faces overcrowding. Formulating effective management policies depends, to a certain extent, on the knowledge of their recreational value and visitor characteristics. Recreational value allows us to know the benefits of the tradeoffs among the ecosystem services and society and exhibit the value of possible damages to marine ecosystems, like the one caused in 2022 by the fire of a tourist boat inside Balandra. Using the individual travel cost method and applying 159 questionnaires to site visitors, the individual willingness to pay to access Balandra Beach was estimated, resulting in USD 11.11/day/visitor. Recreational economic value (REV) for Balandra was estimated using two essential criteria: first, the total visitors registered in 2021, and second, the daily maximum carrying capacity. Welfare recreational loss was also calculated, derived from the site’s two-month closure, using REV as a proxy. Finally, beach management options and possible environmental and economic policy instruments that could be implemented are discussed.

Michał Roman, Iryna Kudinova, Viktoriia Samsonova et al.

The purpose of the article was to investigate the potential of rural green tourism in Ukraine and to determine the main directions of its innovative development, taking into account global, national, and regional trends. SLR (Systematic Literature Review), methods of expert assessment, selective observation, and graphic method were used to achieve the set goal. The article analyzes the current state of rural green tourism in Ukraine; the tourism and recreation potential of rural areas of Ukraine was assessed; promising types of innovations that are currently relevant for implementation in the practice of providing services in the field of rural green tourism in Ukraine are defined and grouped; and the impact of global, national, and regional trends on the current stage of activity and further development of rural green tourism in Ukraine is determined. It is determined that in modern economic conditions, rural tourism serves as a stabilizing factor that will contribute not only to maintaining the normal living standards of rural residents, but also to the development of the region’s economy, service infrastructure, household services, and the social sphere. Thus, rural green tourism is the main tool for stimulating the economic and socio-cultural development of rural areas. The results of the assessment of the tourist and recreational potential of rural green tourism of Ukraine showed that the recreational and tourist attractiveness of rural areas is mainly determined by natural and ecological conditions, cultural and historical conditions, and the tourist infrastructure of the region. Financial economic, socio-demographic, and administrative management conditions negatively affect the recreational and tourist attractiveness of rural areas, resulting in the low ability of the rural population to implement innovations. It has been established that in order for the tourist business to be able to quickly adapt to the normal state, it is necessary to introduce innovative types of tourism that will make it possible to attract a larger number of people to the tourist business and establish additional income due to the introduction of innovative offers, new tours, visits to special places, and the entire range of services of the best quality, which will contribute to the accelerated implementation of online forms and digital tools in the provision of tourist services, etc. It has been proven that the introduction of innovations plays an important role in ensuring the sustainable and balanced development of rural tourism in Ukraine, contributing to the creation of new opportunities and improving the quality of tourist services.

Ravi Kashyap

We develop several innovations to bring the best practices of traditional investment funds to the blockchain landscape. Specifically, we illustrate how: 1) fund prices can be updated regularly like mutual funds; 2) performance fees can be charged like hedge funds; 3) mutually hedged blockchain investment funds can operate with investor protection schemes, such as high water marks; and 4) measures to offset trading related slippage costs when redemptions happen. Using our concepts - and blockchain technology - traditional funds can calculate performance fees in a simplified manner and alleviate several operational issues. Blockchain can solve many problems for traditional finance, while tried and tested wealth management techniques can benefit decentralization, speeding its adoption. We provide detailed steps - including mathematical formulations and instructive pointers - to implement these ideas and discuss how our designs overcome several blockchain bottlenecks, making smart contracts smarter. We provide numerical illustrations of several scenarios related to our mechanisms.

Chutian Ma, Paul Smith

We consider a simplified model for optimizing a single-asset portfolio in the presence of transaction costs given a signal with a certain autocorrelation and cross-correlation structure. In our setup, the portfolio manager is given two one-parameter controls to influence the construction of the portfolio. The first is a linear filtering parameter that may increase or decrease the level of autocorrelation in the signal. The second is a numerical threshold that determines a symmetric "no-trade" zone. Portfolio positions are constrained to a single unit long or a single unit short. These constraints allow us to focus on the interplay between the signal filtering mechanism and the hysteresis introduced by the "no-trade" zone. We then formulate an optimization problem where we aim to minimize the frequency of trades subject to a fixed return level of the portfolio. We show that maintaining a no-trade zone while removing autocorrelation entirely from the signal yields a locally optimal solution. For any given "no-trade" zone threshold, this locally optimal solution also achieves the maximum attainable return level, and we derive a quantitative lower bound for the amount of improvement in terms of the given threshold and the amount of autocorrelation removed.

Alexander Gutfraind

Decision theory recognizes two principal approaches to solving problems under uncertainty: probabilistic models and cognitive heuristics. However, engineers, public planners and decision-makers in other fields seem to employ solution strategies that do not fall into either field, i.e., strategies such as robust design and contingency planning. In addition, identical strategies appear in several fields and disciplines, pointing to an important shared toolkit. The focus of this paper is to develop a systematic understanding of such strategies and develop a framework to better employ them in decision making and risk management. The paper finds more than 110 examples of such strategies and this approach to risk is termed RDOT: Risk-reducing Design and Operations Toolkit. RDOT strategies fall into six broad categories: structural, reactive, formal, adversarial, multi-stage and positive. RDOT strategies provide an efficient response even to radical uncertainty or unknown unknowns that are challenging to address with probabilistic methods. RDOT could be incorporated into decision theory using workflows, multi-objective optimization and multi-attribute utility theory. Overall, RDOT represents an overlooked class of versatile responses to uncertainty. Because RDOT strategies do not require precise estimation or forecasting, they are particularly helpful in decision problems affected by uncertainty and for resource-constrained decision making.

Rúsbel Domínguez-Domínguez, Omar A. Flores-Laguna, Jair del Valle-López

The purpose of this research was to know the degree of administrative knowledge, the degree of training of human resources, the degree of commitment of administrators and the degree of effectiveness of the administration for information security risk based on ISO/IEC 27001.The population consisted of 81 subjects (66 administrators and 15 ITD personnel). Those evaluated were employers of the administrative office of the university and also staff of the Information Technology Department (ITD). To make the comparisons, three groups of managers were formed according to classifications of administrative staff, the classification was as follows: (a) first-line manager, (b) middle management and (c) top management. About the results, it can be corroborated that administrative staff with a lower rank have more problems in making the best decisions in relation to the implementation of an ISMS, it should be noted that the first-line manager is the one who has more contact with the students and is the one who is less involved in the implementation of an ISMS. It can also be inferred that the institutionś planners are not fully trained in the institutionś information security efforts. This in turn prevents the generation of proposals for initiatives to implement an ISMS. With this shortcoming, it is possible that security breaches could be generated.

Xiaochuan Song

Abusive supervision has been found to negatively impact employees. Extant literature based on the Social Exchange Theory (SET) has suggested that employees who experience abusive supervision are likely to engage in workplace deviant behaviors to respond to abusive supervision. However, from the standpoint of power distance, employees do not always respond to abusive supervision in negative ways. This paper aims to investigate employees’ perceptions and reactions to abusive supervision over time as well as factors that can impact their coping strategies to abusive supervision. By conducting two studies, including (1) a lagged-designed study with path analysis and mediation and moderation tests and (2) an experiment with independent sample <i>t</i>-tests, I examine employees’ reactions to abusive supervision over time as well as factors that impact their reactions. Results suggest that, over time, employees are likely to reconcile with their abusive supervisors. Furthermore, employees are less likely to reconcile with their abusive supervisor after engaging in workplace deviant behaviors. Furthermore, employees’ need for harmony (NFH) and the perceived value of the relationship with the supervisor (VOR) can impact their reactions to abusive supervision. This paper moves beyond the Social Exchange Theory, the overarching theory in abusive supervision literature, expands our understanding of abusive supervision, and discusses employees’ responses to abusive supervision over time. Contributions, implications, and future research are discussed.

Bilal Khan, Muhammad Haroon Rasheed, Dr. Sami Uddin

The present study has three main objectives. First, to investigate the effect of capital structure on firms' performance. The second is to investigate the effect of board member diversity on firms' performance. Third, given government interest in the thriving business sector, the study aims to access the impact of government support policies on the performance of firms, particularly in the construction and automobile sectors. For this, we selected 40 firms from these sectors from the period 2010 to 2021. The generalized method of movement (GMM) is used to test the relationships. The results of the present study show that capital structure has a significant and positive effect on firms' performance. The diversity of  board members, which is divided into two sub-categories i.e. demographic diversity and cognitive diversity has significant negative and positive effects on firms' performance. Lastly, there is a negative relationship between government support policies and firms’ performance. These findings provide unique insight to the government, policymakers, researchers, and managers in the context of Pakistan. The thriving business sector is key for the economic survival of a country and these finding can enable managers and policymakers to utilize capital structure and board composition for ensuring optimal performance and effective policy making.

David Ardia, Keven Bluteau, Thien Duy Tran

We explore the realized alpha-performance heterogeneity in green and brown stocks' universes using the peer performance ratios of Ardia and Boudt (2018). Focusing on S&P 500 index firms over 2014-2020 and defining peer groups in terms of firms' greenhouse gas emission levels, we find that, on average, about 20% of the stocks differentiate themselves from their peers in terms of future performance. We see a much higher time-variation in this opportunity set within brown stocks. Furthermore, the performance heterogeneity has decreased over time, especially for green stocks, implying that it is now more difficult for investment managers to deploy their skills when choosing among low-GHG intensity stocks.

Abrar Rahman, Victor Shi, Matthew Ding et al.

Synthetic assets are decentralized finance (DeFi) analogues of derivatives in the traditional finance (TradFi) world - financial arrangements which derive value from and are directly pegged to fluctuations in the value of an underlying asset (ex: futures and options). Synthetic assets occupy a unique niche, serving to facilitate currency exchange, giving traders a means to speculate on the value of crypto assets without directly holding them, and powering more complex financial tools such as yield optimizers and portfolio management suites. Unfortunately, the academic literature on this topic is highly disparate and struggles to keep up with rapid changes in the space. We present the first Systematization of Knowledge (SoK) in this area, focusing on presenting the key mechanisms, protocols, and issues in an accessible fashion to highlight risks for participants as well as areas of research interest. This paper takes a broad perspective in establishing a general framework for synthetic assets, from the ideological origins of crypto to legal barriers for firms in this space, encapsulating the basic mechanisms underpinning derivatives markets as well as presenting data-driven analyses of major protocols.

Ruan Pretorius, Terence van Zyl

Traditional portfolio management methods can incorporate specific investor preferences but rely on accurate forecasts of asset returns and covariances. Reinforcement learning (RL) methods do not rely on these explicit forecasts and are better suited for multi-stage decision processes. To address limitations of the evaluated research, experiments were conducted on three markets in different economies with different overall trends. By incorporating specific investor preferences into our RL models' reward functions, a more comprehensive comparison could be made to traditional methods in risk-return space. Transaction costs were also modelled more realistically by including nonlinear changes introduced by market volatility and trading volume. The results of this study suggest that there can be an advantage to using RL methods compared to traditional convex mean-variance optimisation methods under certain market conditions. Our RL models could significantly outperform traditional single-period optimisation (SPO) and multi-period optimisation (MPO) models in upward trending markets, but only up to specific risk limits. In sideways trending markets, the performance of SPO and MPO models can be closely matched by our RL models for the majority of the excess risk range tested. The specific market conditions under which these models could outperform each other highlight the importance of a more comprehensive comparison of Pareto optimal frontiers in risk-return space. These frontiers give investors a more granular view of which models might provide better performance for their specific risk tolerance or return targets.

Subaveerapandiyan A, Ammaji Rajitha, Mohd Amin Dar et al.

E-resources are inevitable, technology has grown and libraries are also adopting the technologies although adopting have many challenges to the library professionals. Whenever something new comes they need to update themselves. A study investigated E-Resources management and management issues of Indian library professional perspectives. For this study, data was collected from various academic institutes/university libraries in India. It includes institutes of national importance, central, state, deemed and private universities. The study finds that the majority of the libraries subscribed to E-journals and E-books, administration related challenges faced by LIS professionals. The t-test results revealed a lack of professional skills is the reason for issues and challenges of Library management.