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This study aims to contribute to the supply chain management (SCM) literature differently. It offers insightful information about the main enablers that affect supply chain efficacy (SCE). Therefore, this study examines the significant roles and the relationships between SC absorptive capacity, SC risk mitigation, supply chain agility (SCA) and supply chain integration (SCI) among manufacturing firms (MFs) in the Middle East region.

This paper performed a quantitative survey-based study to analyze the substantial roles of SC absorptive capacity, SC risk mitigation, SCA and SCI on SCE. Thus, the authors conducted an online survey through 260 MFs that are listed in the Chamber of the industries of Jordan, Egypt and Turkey that only responded by email. The main respondents were chief executive managers, operations managers, managers and logistics employees from both mid and top levels. The conceptual model was tested by using a hypothesis-testing deductive approach. The findings are based on covariance-based analysis and structural equation modeling (SEM) using partial least squares (PLS)-SEM software.

The PLS-SEM clearly shows a significant relationship between SC absorptive capacity, SCA and SCI on SCE, while surprisingly still, SC risk mitigation does not significantly affect SCE. Further, the outcomes of this study indicate that there is a significant effect of SCA as a mediating factor in the relationship between SC absorptive capacity and SCE directly and indirectly, as well as a moderating effect of SCI in the relation, whereas there is a nonsignificant effect by SC risk mitigation. Finally, there is a significant effect of SCI in the relationship between SC absorptive capacity and SC risk mitigation on SCE as a moderating factor.

This study introduces a theoretical insight and empirically presents that both SCA and SCI are proper logistics characteristics for mediating and moderating the impact of SC absorptive capacity on SCE. Such findings of this study can provide insightful implications for managers at different levels in MFs, stakeholders and policymakers regarding the importance of using the three mentioned enablers on SCE in MFs, in the Middle East firms, in particular, and in developing countries, in general.

This study tries to examine how supply chain (SC) absorptive capacity (AC), SC ambidexterity, SC risk mitigation and supply chain agility (SCA) affect SC efficacy (SCE) in manufacturing firms (MFs) in the Middle East region.

Using a quantitative approach through a survey-based study, 1,004 questionnaires were distributed to the MFs that are listed in the chambers of the industries of Jordan, Egypt, Saudi Arabia and Bahrain in the Middle East region, with 239 useable and valid responses retrieved for analysis, representing a 23.8% response rate. The main respondents were chief executive managers, operations managers, managers and logistics managers from both mid and top levels. The conceptual model was tested by using a hypothesis-testing deductive approach. The findings are based on covariance-based analysis and structural equation modeling (SEM) using partial least squares-SEM (PLS-SEM) software.

This study illustrates a significant relationship between SC AC, SC ambidexterity, SC risk mitigation and SCA on SCE. Further, the findings indicate that there is a significant effect of SC risk mitigation as a mediating factor in the relationship between SC AC, and SC ambidexterity on SCE directly and indirectly, as well through a moderating effect of SCA in these relations. Finally, there is a significant direct and indirect effect of SCA in the relationship between SC AC and SC ambidexterity on SCE as a moderating factor.

This study presents theoretical and empirical insights that both SC risk mitigation and SCA are proper logistics features for mediating and moderating extends the literature by adding a positive role of SC AC and SC ambidextrousness in mitigating SC risks. However, this study adds up the SC literature by evidencing moderating role of SCA between the absorptive capacities, ambidexterity on SCE. Such findings of this study can provide insightful implications for managers and practitioners at different levels in and efficacy among MFs (MFs, stakeholders and policymakers regarding the importance of using the three mentioned enablers on SCE) in MFs, particularly in the Middle Eastern firms and in developing countries in general East region.

Generally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable.

Data were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression.

The study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems.

The study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems.

The study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country.

This paper aims to identify potential avenues for innovation in urban hotel management by analyzing self-reported data from visitors regarding their experience with interior design.

A qualitative exploratory computer-assisted content analysis was conducted to identify the impact of interior design on the guest experience. Leximancer 4.0 software analyzed 2,562 reviews from urban hotels collected through a reservation website.

The findings reveal that data reported by guests on interior design play a crucial role in shaping guest experiences, both positively and negatively. The esthetic appeal of interior design is shown to impact resting and comfort, affecting overall performance significantly. The study also highlights how different star categories of hotels and variations in visitors' purposes for their stay lead to distinct guest experiences and different opportunities to innovate.

The study’s results provide evidence for researchers and practitioners of the potential of the guest-reported interior design experience as a valuable source for fostering innovation. In addition, in the hotel industry, innovation may eventually be attained through interior design renovation.

Self-reported data from guests on interior design is an effective tool for innovation. Making interior design a priority throughout the establishment and ongoing management of a hotel is crucial. By integrating interior design, not only can potential negative experiences be avoided, but greater guest satisfaction can also be achieved during their stay, promoting memorable experiences that align with the hotel category and customer expectations.

This research emphasizes the importance of interior design as a catalyst for innovation and improved social experiences in the hospitality industry. Innovation in interior design can improve hotel performance in several dimensions, including attracting more visitors to the hotel and the area, increasing tourism revenue for local businesses and contributing to the broader societal goal of reducing environmental impact and promoting sustainability.

This article adopts a guest-centered methodology to provide valuable insights for hotel managers to leverage interior design as a tool for innovation in the hospitality industry after showing that interior design enhances guests' experiences, comfort and hotel differentiation.

This study aims to empirically investigate the impact of political instability on the banking stability of the dual banking system in the Middle East and North African (MENA) countries.

The study measures banking stability with probability of default (PD) and Zscore by employing the generalised method of moment (GMM) between 2007 and 2021 on the dual banking system in the region. The authors further estimate short-long-run situations coupled with a robustness test using a generalised least square (GLS) model.

The authors' findings indicate that institutional factors of political stability, crisis period, high-crisis countries, law and order and macroeconomic indicators influence the two types of banking stability in the region. The authors found the consistency of the factors explaining stability in the region in both short-and long-run situations. Consequently, the study also reveals the adverse effects of crisis periods and high-crisis countries on banking stability.

The results of this study explicitly identify the critical need for sustaining political stability and abiding by laws and order to achieve dual banking stability in the region. Therefore, policymakers may consider allowing the region's banks to operate beyond retail banking since diversification enhances banking stability.

The authors' study balances by employing dual stability measurement in predicting the impact of political instability, law and order and other indicators on the MENA region's two banking models. This study uncovers the effect of the global crisis period on banking stability and high-crisis countries in the region and verifies the models' robustness.

This study seeks to develop a clearer understanding of the motivational factors affecting Saudi female business undergraduates' choice of pursuing entrepreneurship.

The research adopts a quantitative approach to gain general understanding of the students' perceptions with regard to their motivations to pursue entrepreneurship. Data were collected through a structured questionnaire survey administered to 214 female business undergraduates at Prince Mohammad Bin Fahd University (PMU) in Al-Khobar, to investigate their perceptions of entrepreneurial motivations. Descriptive statistics and factor analysis were used to identify the motivational factors. Multiple regression analysis was used to reveal relationships between the motivation factors and entrepreneurial motivation of female business undergraduates.

The study revealed four generalised entrepreneurial motivations among Saudi female business undergraduates: personal motivational factors with an emphasis on freedom and social status; business motivational factors such as financial rewards and security; social motivational factors manifested in the influence of the community, roles and family; and environmental motivations which were mainly associated to education, the market knowledge and ability to access finance.

The study was restricted to female students at PMU University. Thus, generalisation of the results could be limited. The findings of the study could be useful to relevant authorities to enhance and boost entrepreneurship for female students and hence to contribute to the national Vision 2030.

This study is among those few studies located in the MENA region that explore Saudi female university students' attitude towards entrepreneurship. It adds to the authors' understanding on the four generalised factors by highlighting the importance of the family's role and entrepreneurship education in motivating Saudi female students towards entrepreneurship engagement. It also contributes to the understanding of these motivations that could be applied in other similar contexts.

The purpose of this study was to investigate the connection between green human resource management (GHRM) and corporate social responsibility (CSR). In addition, this study also investigates how the impact of GHRM varies depending on the extent of transformational leadership.

Adopting a quantitative approach, the sample consists of 376 employees who hold leadership positions in the academic body and those who work in human resources units at universities who won the Web Metric Award.

Results have shown that all GHRM practices were found to have a significant and positive effect on CSR. In addition, the findings revealed that transformational leadership positively moderates the relationship between GHRM and CSR.

The findings of this study contribute to the existing body of knowledge by providing empirical evidence of the positive relationship between GHRM practices, transformational leadership and CSR performance. In addition, the study highlights the moderating influence of transformational leadership on the relationship between GHRM and CSR, suggesting that transformational leadership can increase the efficacy of GHRM practices in promoting CSR outcomes.

This study investigates the effects of top management commitment (TMC) and Kaizen on quality management practices (QMP) and how the latter influence the performance of Jordanian public hospitals in the aftermath of COVID-19.

A survey-based questionnaire was employed to collect data from 222 practitioners and professionals working in public hospitals in Jordan. Partial least squares structural equation modeling (PLS-SEM) was undertaken to analyze data.

Significant and positive effects of TMC and Kaizen (continuous improvement) on QMP are highlighted by the results. The findings also show that QMP has a positive and significant impact on public hospitals' performance. Furthermore, the effects of TMC and Kaizen on performance were also found to be significant.

Practitioners and researchers will gain a greater understanding of how implementing QMP can enhance the performance of public hospitals in the context of the COVID-19 outbreak. The results underline the important role of Kaizen and TMC in the success of QMP and their effect on performance. This research is a cross-sectional study, and there is a need to conduct further empirical investigation based on secondary data or objective measurement of performance.

This research is one of the first studies to investigate the effects of QMP on public hospitals' performance following the COVID-19 outbreak. This study is one of the empirical examinations of QMP and Kaizen in developing countries by investigating Jordanian public hospitals.

The decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex and uncertain due to multiple conflicting qualitative and quantitative criteria as well as multiple alternatives. Vagueness and variability exist in ratings of criteria and alternatives by group of decision-makers (DMs). The paper provides a novel Stochastic Fuzzy (SF) method for evaluation and selection of agile and sustainable global MOP in uncertain and volatile business environment.

Four main selection criteria for global MOP selection were identified such as economic, agile, environmental and social criteria. Total 16 sub-criteria were selected. To consider the vagueness and variability in ratings by group of DMs, SF method using t-distribution or z-distribution was adopted. The criteria weights were determined using the Stochastic Fuzzy-CRiteria Importance Through Intercriteria Correlation (SF-CRITIC), while MOP selection was carried out using Stochastic Fuzzy-VIseKriterijumskaOptimizacija I KompromisnoResenje (SF-VIKOR) in the case study of footwear industry. Sensitivity analysis was performed to test the robustness of the proposed model. A comparative analysis of SF-VIKOR and VIKOR was made.

The worker’s wages and welfare, product price, product quality, green manufacturing process and collaboration with partners are the most important criteria for MOP selection. The MOP3 was found to be the best agile and sustainable global MOP for the footwear company. In sensitivity analysis, significance level is found to have important role in MOP ranking. Hence, the study concluded that integrated SF-CRITIC and SF-VIKOR is an improved method for MOP selection problem.

In a group decision-making, ambiguity, impreciseness and variability are found in relative ratings. Fuzzy variant Multi-Criteria Decision-Making methods cover impreciseness in ratings but not the variability. On the other hand, deterministic models do not cover either. Hence, the stochastic method based on the probability theory combining fuzzy theory is proposed to deal with decision-making problems in imprecise and uncertain environments. Most notably, the proposed model has novelty as it captures and reveals both the stochastic perspective and the fuzziness perspective in rating by group of DMs.

The proposed multi-criteria group decision-making model contributes to the sustainable and agile footwear supply chain management and will help the policymakers in selecting the best global MOP.

To the best of the authors’ knowledge, SF method has not been used to select MOP in the existing literature. For the first time, integrated SF-CRITIC and SF-VIKOR method were applied to select the best agile and sustainable MOP under uncertainty. Unlike other studies, this study considered agile criteria along with triple bottom line sustainable criteria for MOP selection. The novel method of SF assessment contributes to the literature and put forward the managerial implication for improving agility and sustainability of global manufacturing outsourcing in footwear industry.

Most of the previous studies agree about the significance of user satisfaction in ensuring the endurance of information systems (ISs). Accordingly, it is crucial to investigate the effect of e-Government systems on individual end-user satisfaction as more and more countries adopt and deploy such Government Financial Management Information Systems (GFMIS) in the era of digital transformation. Because of this, the purpose of this study is to investigate the factors that contribute to the success of GFMIS in Jordan and ultimately the satisfaction of its users.

The IS success model developed by DeLone and McLean (2003) serves as the theoretical underpinning for the current research. Adding training quality as a new variable to the proposed model has been found to further increase the satisfaction of GFMIS users. A total of 104 GFMIS users in Jordan provided the data used to verify the model. The partial least squares-structural equation modelling was used to test the hypotheses.

The empirical findings indicated that GFMIS user satisfaction is significantly affected by information quality, service quality and perceived usefulness; meanwhile, system quality is only partially supported. The research also showed that the level of satisfaction among Jordanian GFMIS users was related to the quality of training they received.

This study fills a crucial literature gap by developing a research model that can help improve GFMIS usage towards attaining greater performance amongst government agencies in Jordan.