The challenge of improving construction safety performance is observed in many countries. Safety is considered by practitioners and researchers as an important topic in construction industry sites. Despite the findings of implementing safety programs, it is revealed that accidents and injuries are not perfectly reduced in construction projects. In the literature, authors tried to establish several frameworks and proposed methods to reach this objective by identifying the key factors affecting safety performance. The aim of this study is to present critical factors used in the implementation of safety programs and to explore their relationships using Interpretive Structural Modeling (ISM). Then, via ISM technique, the overall structure among factors was revealed. By using the Fuzzy MICMAC analysis, the factors were classified into four groups based on their driving power and dependence power. The results showed that “Safety Training” and “Management Commitment” have the most important impact on safety programs, but also it is very important to study the interactions among factors at different stages. This analysis offers key resources for practitioners and decision makers by analyzing the relationships between factors and its driving or dependence strength. These results shed lights on the effective development of measures to facilitate the implementation of safety programs in the construction sector.

This study addresses the issue of rising turnover intention in Pakistan’s aviation industry and provides a theoretical foundation for lowering the turnover intention with the help of consumer citizenship behavior (CCB) and consumer-based brand equity by using the S-O-R theory. The data is collected with the help of structured personally administered questions following the intercept approach. Three most frequently used international airports which are located at Lahore, Karachi and Peshawar are targeted for data collection and total of 388 Pakistani flyers who traveled to international destinations participate in the survey. In addition, this study uses SmartPLS 3.2.7 for data analysis with the help of a two-stage approach. The results state that CBBE had a significant effect on CCB and CCB had a significant impact on turnover intentions. Furthermore, CCB plays the role of an important mediator for the effect of customer based brand equity (CBBE) on turnover intention. These results enhance existing literature about lowering the turnover intention with the help of CCB and CBBE in aviation industry of Pakistan. The study also highlights that managers and practitioners should improve customer engagement for exhibiting CCB to reduce customer turnover intentions in the aviation industry.

This study aims to investigate employee motivational and environmental factors and their effects on employee retention and organizational performance. Employee retention is predicted by organizational environment, intrinsic motivation, organizational learning, knowledge management, entrepreneurial orientation, external connect and explained R2=76.3% of the variance in employee retention. Therefore, organizational performance is predicted by competitive advantage and employee retention and explained R2=19.9% of the variance in organ-izational performance. Effect size analysis indicates that intrinsic motivation had substantial effect on size when compared with other exogenous variables. The predictive relevance of the model was found substantial revealed Q2=40.5% relevance to predict employee retention. The moderating role of the competitive advantage was confirmed and directs that the positive relationship between employee retention and organizational performance will be stronger when competitive advantage is higher. Finally, results showed that intrinsic motivation had the highest importance level when compared with other constructs. Therefore, manager and policy makers should take into consideration intrinsic motivation and transformational leadership in order to boost employee retention and organizational performance.

The aim of this study is to explore benchmarking reasons and their effects on benchmarking success from the perspectives of university managers in different management levels. Six reasons were examined for their role in benchmarking success. These reasons are top management support, university internal assessment, employee participation, benchmarking benefits, benchmarking competitor, and benchmarking partner. Data were gathered by a questionnaire distributed to managers from all levels in public universities. The questionnaire was developed based on related works on benchmarking. Two hundred questionnaires were distributed to the sample members and 167 questionnaires were returned with a response rate of 83.5%. The results indicated university internal assessment is the most influential reason for benchmarking success, followed by benchmarking benefits, benchmarking partner, top management support, and finally, employee participation. It was found that benchmarking competitors had no effect on benchmarking success. Therefore, universities are called for considering such reasons when heading for benchmarking. Researchers also are requested to validate such findings and to explore more reasons for benchmarking success.

This study investigates the impact of business analytics (BA) on supply chain performance (SCP) in Saudi industrial companies. It also investigates the mediating impact of information systems supporting (ISS) and business process orientation (BPO). A total of 373 respondents working in 38 manufacturing companies in the Kingdom of Saudi Arabia (KSA) were selected. A scale with acceptable validity and reliability indicators was developed to measure the study variables. The results indicated significant indirect impact of the business analytics (planning, supply, make, delivery) on supply chain performance as ISS and BPO mediate this impact. Based on the results, a set of recommendations were proposed, industrial companies in KSA must develop the analytical capabilities for managers by increasing awareness of the benefits achieved from using business analytics approaches. It is a critical precedent for supply chain SC efficiency, and for companies to enhance their analytical capabilities with good ISS and process orientation to utilize in analyzing vast amounts of internal and external data. Directions for future research are also presented in this paper.

Lots of work has been conducted to explore and explain inter-organizational relations between supply chain partners. However, we have noticed that there is no accurate agreement between authors. Therefore, to better understand this disparity, the authors have studied supply chain inter-organizational relationship dynamics in different industries to bring out an analytical framework that allows a better understanding of such an issue. Further, the framework is subjected to expert’s opinion and ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach. These case studies instruct professionals and researchers so that they bring up their level of abstraction that remains appropriate to catch this dynamic in order to guide decision-making and future research and studies.

The aim of this study is to design, build and validate a scale for the measurement of Saudi industrial Organizations' SC Management Practices (SCMP), and also to evaluate its efficiency at various SCM measurements. The analysis identified 20 constructs of (SCMPs) based on a comprehensive literature review; namely Strategic Partnership of Suppliers (SPS), Customer Relationship (CR), Information Sharing (IS), Information Quality (IQ), Postponement (PST), Agreed Vision and Goals (AVG), Sharing of Risks and Rewards (SRR), Lean Manufacturing (LM), Total Quality Management (TQM), Organizational Culture (OC), Information and Communication Technology (ICT), Benchmarking and Performance Measurement (BPM), Agile Manufacturing (AM), Outsourcing (OUT), Just In Time Manufacturing (JIT), Green SC Management (GSCM), Reverse Logistics (RL), Vendor Managed Inventory (VMI), Radio Frequency Identification (RFID), and SC Integration (SCI), and four SCM performance structures in particular namely; Flexibility Perspective (FLP), Efficiency Perspective (EFP), Customer’s Perspective (CSP), Product Innovation Perspective (PIP). A survey tool based on the existing literature was developed and relevant data were collected from 351 Industrial Saudi organizations on this tool. In the data analysis the validation of the instrument is mainly carried out with confirmatory factor analysis in terms of unidimensionality, durability, convergent validity, discriminant validity, nomological validity, and the associated validity criteria. A parsimonious instrument that makes an important contribution to the SCM literature is generated by the results of this research. The instrument will allow an enterprise to incorporate various SCMPs, to keep track of the implementation status, and then to evaluate SCM performance to the SCM dimensions.

This study aims at investigating the impact of marketing strategies, i.e., digital marketing, green marketing, and sensory marketing, on restaurant sales a s well as examining the mediating role of sensory marketing in the effect of digital marketing and green marketing on restaurant sales. Developing a literature-based questionnaire to harvest data from a sample consisting of owners or managers of small and medium-sized casual restaurants and analyzing such data using SmartPLS 3.0, it was acknowledged that restaurant sales as an endogenous variable is significantly influenced by these three marketing strategies. Moreover, it was revealed that sensory marketing is a significant mediator in the effects of digital marketing and green marketing on restaurant sales. The originality of this study is that it expands the literature emphasizing the importance of marketing strategies integration to achieve higher sales. Specifically, the study contributes to the literature indicating that restaurants must consider sensory marketing strategy as a key mechanism to enhance the efficiency of digital marketing and green marketing efforts.

The objective of this paper is to examine the determinants of the supplier selection process with green consideration. Thus, this analysis gathers a collection of factors from established literature of green supplier selection (GSS), including seven categories and 58 attributes. The objective of this research is to classify the key factors which are presented as qualitative information. Fuzzy logic rules are used to transform qualitative expert knowledge into numerical data. Then, we adopt the Delphi method (DM) to filter and rate unneeded factors according to their relevance. The results indicate 24 important factors for the GSS process. Five categories are included: Performance and technology ability, Environmental management, Pollution control, Quality and Service. The most significant factors are recognized as green research and development, eco-design, green image, green packaging and remanufacturing. Finally, the debate is held on the basis of the findings and future research are also recognized and stated.

This research aimed to investigate the interrelationships among environmental forces, organizational capabilities, and supply chain sustainability. The mediation role of organizational capabilities and supplier relationship between environmental forces and Supply chain Sustainability were analyzed. Dataset obtained from 410 managers in the Jordanian food industry were used. PLS-SEM was conducted for analysis purposes. The findings reveal that environmental forces and organizational capabilities directly impact supply chain sustainability. The findings have additionally shown that supplier relationships and organizational capabilities played a mediation role between environmental forces and supply chain sustainability. The results show that companies might derive significant benefits from sustainable practices and consider them to maximize the success level of the supply chain sustainability initiative.