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The primary purpose of this study is to evaluate the positive influence of human resource management practices (HRMPs) on job satisfaction (JS) and affective commitment (AC).

Data were collected through a self-administrated questionnaire disseminated in 19 resort hotels in Egypt’s Red Sea region. The structural equation modeling results indicate that HRMPs significantly affect JS and AC through mediation effects.

This study highlights the importance of a hotel’s behavior in fulfilling its HRMPs obligations on employee attitudes and behaviors. Effective HRMPs (i.e. recruitment and selection, training and socialization and security) positively influence employee outcomes like JS and AC. JS has a significantly positive relationship with AC and a mediating effect on the link between HRMPs and AC.

These results cannot be generalized to the overall Egyptian hospitality sector context. The survey data are self-reported, so future research should investigate hotel managers and guests through interviews or focus groups.

Effective HRMPs should increase JS and AC. human resource managers should emphasize the critical role of HRMPs in enhancing JS and AC and motivating hotel employees to remain with their hotels. They should also develop a robust framework to improve JS and AC with HRMPs effectively. This study provides a conceptual model for researchers in the HRM literature.

To the best of authors’ knowledge, this is the first study to empirically investigate the impact of HRMPs on JS and AC in the Red Sea region, with significant academic and practical implications. This research is unique in presenting a conceptual model exposing the AC of organizational commitment.

This study aims to explore entropy evaluation in the bi-directional flow of Casson hybrid nanofluids within a stagnated domain, a topic of significant importance for optimizing thermal systems. The aim is to investigate the behavior of unsteady, magnetized and laminar flow using a parametric model based on the thermo-physical properties of alumina and copper nanoparticles.

The research uses boundary layer approximations and the Keller-box method to solve the derived ordinary differential equations, ensuring numerical accuracy through convergence and stability analysis. A comparison benchmark has been used to authenticate the accuracy of the numerical outcomes.

Results indicate that increasing the Casson fluid parameter (ranging from 0.1 to 1.0) reduces velocity, the Bejan number decreases with higher bidirectional flow parameter (ranging from 0.1 to 0.9) and the Nusselt number increases with higher nanoparticle concentrations (ranging from 1% to 4%).

This study has limitations, including the assumption of laminar flow and the neglect of possible turbulent effects, which could be significant in practical applications.

The findings offer insights for optimizing thermal management systems, particularly in industries where precise control of heat transfer is crucial. The Keller-box simulation method proves to be effective in accurately predicting the behavior of such complex systems, and the entropy evaluation aids in assessing thermodynamic irreversibilities, which can enhance the efficiency of engineering designs.

These findings provide valuable insights into the thermal management of hybrid nanofluid systems, marking a novel contribution to the field.

Strategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is one of the most commonly used techniques for strategic planning. SWOT examines the strengths (S) and weaknesses (W) agents of the community together with opportunities (O) and threats (T), for selecting and implementing the best strategy which helps in achieving its goals. The purpose of this paper is to enhance the performance of SWOT analysis regarding the quantitative side of strategies, select the best strategy from different strategies and deal effectively with vague and incompatible information, which occurs usually in actual life.

This study used the neutrosophic analytic hierarchy process (AHP) incorporated with SWOT analysis.

By adding the neutrosophic AHP to SWOT analysis, the performance of SWOT analysis is enhanced through determining the quantitative values and dealing with vague and inconsistent information effectively leading to improved decisions.

The developed integrated methodology is validated in a real-life case of Starbucks company. For the case study of Starbucks company, the proposed model helps in determining different strategic plans and, further, ranking these plans effectively, which will help the company to compete with its competitors and develop itself by obtaining a competitive advantage over its competitors in an uncertain business environment.

In the case study of Starbucks company, the proposed model helps to determine the different strategic plans, rank these plans which help the company compete with its competitors, develop itself and grow.

This research is the first to address SWOT analysis with neutrosophic AHP.

This study examines how far female tour guides in Egypt experience sexual harassment and how they cope with it.

A qualitative research method is employed, and semi-structured interviews were conducted with 32 full-time female tour guides working for several travel agencies in Egypt. Thematic analysis was used to extract the main ideas from the transcripts.

The findings show that female tour guides in Egypt would encounter annoying gender harassment mostly from tourists they serve, and they might suffer from irresponsible behavior – gender harassment, unwanted sexual harassment, and sexual coercion – from their local managers. When facing sexual harassment, female tour guides usually tend to adopt one of the following three coping strategies: (a) indifference to sexual harassment they encounter, (b) heroism by taking legal action when exposed to sexual harassment or (c) fatalism by taking inconsequential action such as complaining the harasser to his direct manager or filling in an official complaint inside their workplace. The selection of the coping strategy is usually based on the female victim's personality and the organizational and social context she adapts to.

This paper contributes by filling a gap in tourism, human resources management and gender studies in which empirical studies on the sexual harassment that female tour guides encounter, particularly in non-Western contexts, have been limited so far.

This study aims to investigate the correlation between four major indicators of auditor quality: audit fees, auditor size, non-audit services, auditor tenure, financial reporting timeliness and publicly traded firms in the United Arab Emirates (UAE).

Total report latency (TRL) is a metric used to assess the efficiency of financial reporting. It depicts the number of days between a firm’s fiscal year-end and the date on which its annual reports are made available on the capital market website. A total of 312 observations were identified from data collected over six years (2011–2016) from non-financial companies listed on UAE capital markets, such as the Abu Dhabi Securities Exchange (ADX) and Dubai Financial Market (DFM). The statistical methods that were implemented included descriptive statistics and multiple regressions.

The UAE data revealed that audit fees, leverage and profitability affect ARL. Nevertheless, there is a lack of empirical evidence to substantiate the impact of audit firm size, non-audit services or auditor tenure on TRL.

Based on the results, TRL is significantly reduced by audit fees alone. The substantial effort exerted by auditors to complete audit work on time, particularly when high audit fees are paid, may account for this outcome. Despite this, the scale of the audit firm, non-audit services and audit tenure could not further reduce the TRL.

The UAE capital markets are relatively recent developments. Thus, corporations might adopt a more lax approach to enforcing regulatory obligations. Local and international investors require timely audited financial statements to facilitate decision-making and dispel speculation. Determining audit quality attributes that decrease TRL is advantageous for UAE markets, investors and publicly traded companies.

The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.

Collaboration is an important emerging dimension of sustainable supply chain management. How to improve supply chain collaboration (SCC) by means of operational excellence approaches has become an important research topic. The Internet of things (IoT), an important means of operational excellence, has also received increased attention. For better collaboration by the IoT, this study proposes a novel methodology to evaluate the measures of IoT adoption in SCC.

Based on the six-domain model and the common classification of collaboration, the measures of the IoT and the criteria of SCC are developed, respectively. A hybrid multi-step methodology that combines neutrosophic set theory, analytic hierarchy process (AHP) and technology for order preference by similarity to an ideal solution (TOPSIS) is proposed to complete the evaluation.

The results show that improving information transparency, strengthening the integration of management information systems and improving large data processing abilities are the most important measures of the IoT in improving SCC. Measures such as introducing sensing technology and laser scanning technology rank at the bottom and are relatively unimportant.

The research results provide insights and references for firms to improve SCC by adopting appropriate IoT measures.

Most of existing studies indicate the significance of technology in SCC. But this study shows a different conclusion that technologies rank the bottom, while information transparency is more important. And a suitable explanation is given. It further enriches the theoretical studies in SCC field.

The integration of blockchain technology (BT) in supply chain management (SCM) is at the forefront of technological advancements, yet it faces significant barriers that hinder its widespread adoption. This study aims to delve into these challenges, employing the diffusion of innovations (DOI) theory to systematically investigate and propose a strategic framework for overcoming the technological barriers to BT adoption within SCM.

Through a comprehensive systematic literature review (SLR) of 155 publications, complemented by rigorous content analysis and expert interviews, this research identifies and categorizes 16 primary technological barriers, including scalability and privacy issues, that impede BT integration.

The proposed framework, informed by DOI theory, outlines tailored strategies across three critical adoption stages: initiation, where the focus is on mitigating high energy consumption and scalability issues; adoption decision, emphasizing the formulating international standards for blockchain architecture, embedding abstraction layers within software projects; and implementation, concentrating on enhancing security, interoperability and system efficiency.

This research contributes significantly to both academic literature and practical applications. Academically, it extends the DOI theory within the SCM context and enriches the blockchain literature by providing a nuanced understanding of the specific barriers to BT adoption. Practically, it offers a roadmap for industry practitioners, delineating actionable strategies to navigate the adoption process effectively. This study not only bridges the gap between theoretical insights and practical implementations but also serves as a vital resource for policymakers and standard-setting bodies in facilitating and regulating BT adoption in SCM, thereby fostering innovation and competitive advantage in the marketplace.

Smart banking services (SBS) are critical for developing countries to achieve developmental goals. The success of SBS is dependent on the considerable perceived customer experience of provided services. Based on technology adoption studies, this study aims to model smart customer experience (SCE) outcomes by investigating the relationships between SCE, customer gratitude, continuance intentions and positive word-of-mouth (P-WOM).

The current research included 384 bank clients as participants. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

According to the findings, SCE directly increases customer gratitude, continuance intention to adopt smart services and P-WOM. Customer gratitude enhances continuance intentions and P-WOM. Additionally, customer gratitude mediates the relationship between SCE, continuance intention and P-WOM. Finally, the findings revealed that customer innovativeness and optimism play a substantial moderating impact among the variables studied.

This is the first research to include all of these variables. Furthermore, to the best of the authors' knowledge, this is the first empirical study of these linkages in the banking sector of emerging nations.

This study aims to explore the steps carried out in the implementation of Islamic Quality Management System (QMS) MS 1900 in Malacca zakat institution.

A case study strategy was used to explore the process of MS 1900 implementation at Malacca Zakat Center (MZC). Semi-structured interview with Top Management Officers, Managers, Shar’iah Officer, Quality Systems Officers and Auditors was used as main data collection method, and it was triangulated with data collected from documents and observations. The data were analysed by employing thematic analysis method.

The study found that there are 12 steps involved in MS 1900 implementation at MZC, namely, identifying gaps, understanding MS 1900, outlined quality policies and objectives, team work establishment, management representative establishment, management commitment, documentations, determining the quality scope system, implementing the MS 1900, internal audit, evaluating QMS performance and surveillance audit. All steps were carried out effectively with the cooperation of management and employees at MZC.

The findings from this study can be employed by managers who intend to implement MS 1900 effectively in their organizations.

This study adds to the knowledge of the emergence of the first ever Islamic QMS MS 1900. It also contributes meticulous insights into the MS 1900 implementation particularly in the zakat centre.