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In this study, we attempt to investigate and examine the correlations among enterprise culture (EC), business ethic rules (BERs) and talented human resource supply chain management (THRSCM) in service SMEs in the Middle East region.

This study is quantitative in nature and adopts the quantitative-deductive hypothesis testing approach. To do this, a self-administrated survey was used and carried out to reach managers, human resource (HR) staff and workers from various small and medium-sized enterprises (SMEs) in the service sector that are listed in the Chambers of the Industries of Qatar, Saudi Arabia, the United Arab Emirates and Jordan in the Middle Eastern countries.

The empirical findings show that THRSCM and the BERs have a strong, positive correlation. Further, it found that there is also a strong and positive correlation between the EC and the BERs. As a result, THRSCM and EC can be extremely important in advancing and implementing BERs in SME service businesses. HR staff members should receive greater attention when implementing the BERs to accomplish the company’s goals and give customers a positive image of their enterprises. The HRM division and the company must be deeply aware of the significance of the BERs in their enterprises.

These findings can give managers, executives and HR staff helpful information to support the creation and upkeep of efficient business ethics rules inside their service SMEs.

Because there is not much study on the relationships between THRSCM, EC and BERs in the Middle East, this article attempts to investigate these relationships and consider them a benchmark for other future studies in ethics. Furthermore, it significantly influences service SMEs in the Middle East region.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2023-0763.

This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS).

To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor.

The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA.

One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data.

This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region.

The goal of this study is to better understand the driving force behind the use of artificial intelligence (AI) in pharmaceutical manufacturing firms (PMFs) that are recognized as developing countries in the Middle East and North Africa (MENA) region that are listed by the Chambers of the Industries of Jordan, the Kingdom of Saudi Arabia, Morocco, and Algeria. Furthermore, the effect of adopting and using AI in managing raw materials (RMs), products, parts, and components for PMFs through supply chains (SCs).

A self-administrated questionnaire survey was used to gather data from 95 out of 511 participating managers (e.g. manufacturing, supplying, IT, operational, and logistical managers) utilizing a quantitative technique with a random sample size. In fact, 18.8% of the 89 different manufacturing firms (MFs) in the MENA area responded, with five to six managers from each company. The raw data was analyzed using partial least squares structural equation modeling (PLS-SEM).

The study’s findings show that the readiness to embrace artificial intelligence (AI) in the production management supply chain performance (PMSCP) of pharmaceutical manufacturing firms in the Middle East and North Africa (MENA) is positively and significantly influenced directly and indirectly by sustainable strategic supplier reliability (SSSR), shipping process dependability (SPD), technological factors (TFs), and infrastructure transformational development capability (ITDC).

As the studied countries are growing economies, such study findings might offer insightful consequences for stakeholders and policymakers regarding the significance of using artificial intelligence system adoptions in pharmaceutical manufacturing enterprises in the MENA region. The managers may also concentrate on the strong positive direct and indirect links between SSSR, SPD, TFs, and ITDC preparedness to accept AI adoption and its applications and systems in supply chain and production management departments and the consequences of informational and product delivery.

This study aims to examine the impact of smart talent management (STM) on the performance of small and medium-sized enterprises (SMEs), which is mediated by providing an adoption innovation climate, and to verify the moderate power of adoption motivational culture on STM and SMEs performance (SMEsP).

The quantitative methodology was adopted through an online survey questionnaire to collect data from SMEs listed in Chambers of Commerce and Industry located in Jordan, the United Arab of Emirates and Kind Saudi Arabia in the Middle East region. Responses were collected from 163 firms out of 568, representing a 28.7% response rate. The data were analyzed using the structural equation modeling technique to test the hypotheses.

The results of this study fail to support the view that STM has a positive and significant effect on SMEs’ performance, as well as the adoption of motivational culture strengthened the relationship between STM and SMEsP. In addition, the adoption of motivational culture strengthened the relationship between STM and SMEs’ performance.

This research extends the application of cognitive social theory, whereby STM functions as a value-adding activity within SMEs. This research extends the application of cognitive social theory, where STM functions as a value-adding activity within SMEs.

This paper aims to analyze the relationships between human resource supply chain management (HRSCM), corporate culture (CC) and the code of business ethics (CBE) in the MENA region.

In this study, the author adopted a quantitative approach through an online Google Form survey for the data-gathering process. All questionnaires were distributed to the manufacturing and service firms that are listed in the Chambers of the Industries of Jordan, Saudi Arabia, Morocco and Egypt in the MENA region using a simple random sampling method. About 567 usable and valid responses were retrieved out of 2,077 for analysis, representing a 27.3% response rate. The sample unit for analysis included all middle- and senior-level managers and employees within manufacturing and service firms. The conceptual model was tested using a hypothesis-testing deductive approach. The findings are based on covariance-based analysis and structural equation modeling (SEM) using PLS-SEM software. The author performed convergent validity and discriminant validity tests, and bootstrapping was also applied.

The empirical results display a significant and positive association between HRSCM and the CBE. The CC and the CBE tend to be positively and significantly related. Therefore, HRSCM can play a key role in boosting and applying the CBE in firms. For achieving the firm purposes, more attention to the HR personnel should be paid to implement the CBE. The high importance of the CBE becomes necessary for both the department and the firm.

Such results can provide insightful information for HR personnel, managers and leaders to encourage them to develop and maintain an effective corporate code of conduct within their organizations.

This paper tries to explore the linkages between HRSCM, CC and CBE in the Middle East region due to the lack of research available that analyzes the relationship between them. Not only that, but it also offers great implications for Middle Eastern businesses.

The purpose of this paper is to investigate the best supply chain management (SCM) practices that are implemented in medium- and large-sized Gulf manufacturing firms (MFs).

This study has explored seven SCM practices, i.e. supplier collaboration, flexibility with partners, usage of internet, customer focus (CF), lean production (LP), internal integration (II) and quality management (QM). It assumes that the best-performing firms must be the ones implementing the best practices. t-test and multiple linear regression analyses were used to establish the best practices, implemented by medium and large-sized Gulf MFs.

The results showed that QM, CF and supplier collaboration are considered as best SCM practices in Gulf MFs. Usage of internet may have been the best practice previously, but not anymore. LP cannot yet be qualified as, but may develop into the best SCM practice.

The study provides a useful contribution to the field of best SCM practices as it provides better decision-making insights and a benchmarking base to top managers, policy makers and academics. It is likely to result in increased overall performance of their firms.

The study provides an understanding of the distinctive characteristics of the best SCM practices, implemented by Gulf MFs. It has broader implications for all MFs, particularly in developing economies where the growth of manufacturing and effective management of their supply chains is a key element for the economic development.

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.

Due to the current volatile environment and fierce competition, manufacturing firms (MFs) must improve their performance to survive. In this regard, checking and monitoring the suppliers' risk should significantly improve the performance of MFs. In addition, a relation based on not being an opportunist, confidence and reliance are influential factors in reducing the supplier defaults on his/her supply obligations and improving supply chain performance (SCP). Besides, the moderator function of supplier involvement (SI) in the relationship between quality of the relationship (QoR) and supply risk mitigation (SRM) is undeniable.

Based on the survey of 148 samples from small to large-sized MFs in Jordan, Turkey and Egypt, empirical evidence has been conducted to support a majority of the authors’ hypotheses. This paper provides a theoretical review of buyer–supplier relationships and supply risk. Hypotheses were tested by using structural equation modeling (SEM)/Smart PLS-4.

According to the results, confidence and reliance have statistically significant and positive impacts on SRM, resulting in better SCP. Moreover, the findings show that SI positively affects and moderates the relationship between confidence (C) and SRM, while it has no statistically significant influence on the relationship between reliance (R) and SRM.

This study provides necessary material for managers and decision-makers in MFs to confirm the importance and understanding of the QoR in building relationships and business dealings with partners in the SC, in addition to limiting and mitigating the risks of an interruption in supply in particular. Therefore, building a high-quality relationship as a practice based on trust and reliability with suppliers positively affects the performance of the SCs of MFs.

This research paper offers empirical evidence for using QoR within SRM resources of MFs' context for enhancing their supply chain performance. This study is one of few studies that examine the QoR and SRM that contribute to enhancing SCP in MFs in developing countries, which also can serve as a reference for many SC managers and practitioners.

This study attempts to examine the relationship between reliable big and cloud data analytics capabilities (RB&CDACs) and comparative advantages (CA) of manufacturing firms (MFs) in the Middle East region as developing countries using green product innovation (GPI) and green process innovations (GPrI) mediating factors, further assess the role of data-driven competitive sustainability factor as a moderated factor.

436 useable online surveys were analyzed using the quantitative approach for the data-gathering process, applying structural equation modeling in the Smart-PLS program as an analysis tool. The sample unit for analysis included all middle- and senior-level managers and employees within MFs. The authors performed convergent validity and discriminant validity tests, bootstrapping also was applied. The authors included GPI and GPrI as mediating factors while using data-driven competitive sustainability as a moderated factor.

The findings of this study indicated that there is a positive significant effect in the relationship between reliable big and cloud data analytics capabilities and comparative advantages, which is supported by the formulated hypothesis. Furthermore, the findings confirmed that there was a positive and significant effect through the mediating factors (i.e. GPI and GPrI) on comparative advantage, additionally, it confirmed and supported that the moderating factor represented by data-driven competitive advantage suitability has significant effect as well.

This study has some limitations represented by using only one type of methodological approach (i.e. quantitative), further, it was conducted on only Asian countries in the Middle East region.

This piece of work improved the proposed conceptual research model and included several factors such as reliable big and cloud data analytics capabilities, comparative advantage, data-driven competitive sustainability, GPI and GPrI. This research offered new and valuable information and findings for managers, practitioners and decision-makers in the MFs in the Middle East region as a road map and gaudiness for the importance to apply these factors in their firms for enhancing the comparative advantages in their firms. Further, this research fills the gap in SCM literature and makes a bridge of knowledge and contribution to the existence of previous studies.

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.