In this VUCA world, much can be achieved when one is open to learning. The purpose of this study is to ana-lyze the impact of organizational learning culture, employee commitment, and job satisfaction towards motivation to transfer learning. The data are collected by distributing 200 questionnaires for employees working in Jakarta area. The method used to do the analysis is by using a multilinear regression. Based on the result, organizational learning culture and job satisfaction had significant impacts to motivation to transfer learning. Meanwhile, employee commitment does not have significant effect on motivation to transfer learning, however, it has an impact on the gender, age, and length of work.

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 paper deals with the problems faced with the designing and planning of a sporting fixture considering correct referee assignments. A non-linear binary program model is proposed to solve the problems, which aims to minimize the sums of the differences that exist between the requirements of each match and the quality of the referee assigned achieving the design of the most adequate referee for each match. The efficiency of the proposed model is proved using some real data obtained from various fixtures for sports such as soccer, volleyball, and basketball. The mathematical model is solved by using CPLEX 12.7.0., which allows the automatic linearization of the problems. The results obtained demonstrate the efficiency of the proposed methodology for tackling problems, as well as its extension to other sporting disciplines, which require a similar type of planning. Similarly, given the robust nature of the proposed model, it is possible to implement other objective functions in accordance with the requirements of each league.

This study presents a comprehensive framework for Project Risk Management (PRM), tailored specifically for Engineering, Procurement, and Construction (EPC) projects. Addressing gaps in traditional risk assessment methodologies, the proposed approach integrates advanced techniques for risk identification, analysis, and evaluation based on risk characteristics. A three-stage framework is proposed utilizing the Delphi method for risk identification and contextualization of risks, the risk analysis stage employs the Fuzzy Level-Based Weight Assessment (F-LBWA) method to achieve fuzzy weights for risk characteristics which the risks will be evaluated by. The final evaluation stage uses the Fuzzy Combined Compromise Solution (F-CoCoSo) method to rank risks, categorizing them as threats, opportunities, or hybrids. A case study of an EPC project demonstrates the framework’s practical application, highlighting construction-phase risks as the most critical threats (negative risks) while also emphasizing opportunities (positive risks) which can be exploited. By incorporating fuzzy logic and innovative Multi-Criteria Decision-Making (MCDM) methods, the framework provides a flexible and robust tool for modern PRM.

This study analyzes the effects of intangible resources on competitive advantage in the banking sector of Nigeria. The marketing related, technological and structural dimensions of intangibles are employed while differentiation and cost leadership strategy are used as components of competitive advantage. The population of the study consists of bank employees of ten deposit money banks in Benin City, Nigeria. A sample size of 300 is adopted for this study. The instrument is a modified 35 item structured questionnaire previously validated by other studies. The study uses confirmatory factor analysis and structural equation technique to evaluate the validity of the measurement and structural model. The hypothesized relations are tested using regression analysis. The results confirm that marketing related, technological and structural categories of intangible resources promoted competitive advantage. It is recommended that bank management should promote the development of their intangible resources.

This study aims to develop a measurement scale for Supply Chain Integration (SCI) and Firm Performance (FP) in Jordanian SMEs. The study instrument was developed based on the previous studies and the survey included 284 companies in Jordan. A sample of 263 responses were used for exploratory analysis. Results show that the 46-item instrument was loaded on four factors. During this phase, the measurement scale was purified to 36 items, and characterized with a high degree of reliability. The results were confirmed using confirmatory factor analysis and showed that the 36-item measurement model met the empirical requirements namely, convergent, construct, and discriminant validity. The fitness indicators test for the model shows that it is applicable in SMEs companies’ environment in Jordan. The study presented implications for decision-makers in SMEs companies. The limitation of this study was presented which were relied on to develop directions for future research.

The speed of mobility of public funds by the banking sector implies the conditions of economic liquidity and internal bank liquidity. The faster the mobility of funds, the more the availability of liquidity for the community, the higher banking profitability, and the lower bank's internal liquidity. The uncontrolled mobility of funds can have severe consequences for both banks and society. As an intermediary financial institution, banking plays the main role to be the intermediary institution between surplus units and deficit units. This study aims to find out the factors influencing funds mobilization by Regional Development Bank (RDB) in Indonesia. The data research is quarterly financial statement secondary data of Indonesian regional banking from 2010 to 2017. There are 26 RDBs as the sample and this research uses regression as the research method. The result shows that regional external economic variables such as GDP, Exchange Rate and Inflation, market concentration, and banking characteristics affected the funds mobilization of Indonesian RDBs. This means the pricing strategy must consider more to external and internal variables of economics. In the future, Indonesian RDBs need to develop specific deposits and credits products to maintain and increase the mobilization of funds function.

The separate delivery and collection services of goods through different routes is an issue of current interest for some transportation companies by the need to avoid the reorganization of the loads inside the vehicles, to reduce the return of the vehicles with empty load and to give greater priority to the delivery customers. In the vehicle routing problem with backhauls (VRPB), the customers are partitioned into two subsets: linehaul (delivery) and backhaul (pickup) customers. Additionally, a precedence constraint is established: the backhaul customers in a route should be visited after all the linehaul customers. The VRPB is presented in the literature as an extension of the capacitated vehicle routing problem and is NP-hard in the strong sense. In this paper, we propose a mixed integer linear programming formulation for the VRPB, based on the generalization of the open vehicle routing problem; that eliminates the possibility of generating solutions formed by subtours using a set of new constraints focused on obtaining valid solutions formed by Hamiltonian paths and connected by tie-arcs. The proposed formulation is a general purpose model in the sense that it does not deserve specifically tailored algorithmic approaches for their effective solution. The computational results show that the proposed compact formulation is competitive against state-of-the-art exact methods for VRPB instances from the literature.

The main objective of the present research is to evaluate the influence between just-in-time technique (JIT) and total quality management TQM in project performance evaluation (PPE) in the paint industry; and to identify the important factors that should be considered for the successful application of JIT in project management in the paint industry ar Riyadh Governorate. A questionnaire was distributed to administrators, economists and accountants in the paint industry. The study used the partial least squares program for analysis purposes. The results indicated that the just-in-time technique has a positive impact on the evaluation of project performance in the balanced scorecard in its dimensions (financial, customers and internal operations), and a negative impact on the growth and learning dimension. The results also revealed a positive impact of total quality management on the evaluation of project performance in all dimensions of the balanced scorecard, and it plays an important mediating role in improving the impact of total quality management on the evaluation of performance by the balanced scorecard.

Academics and practitioners have become more interested in big data analytics (BDA) in recent years. There have been few empirical studies on the relationship between BDA and green supply chain management (GSCM), as well as the importance of environmental orientation (EO). A total of 128 responses from Jordanian industrial businesses were evaluated using the structural equation modeling method. The BDA, EO has a favorable and significant relationship with external and internal GSCM, according to the findings of this study. Furthermore, EO serves as a mediator between BDA and the external, and internal GSCM. The findings provide managerial insight into how to use BDA to establish a proactive environmental policy that covers all GSCM activities.