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.

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.

To meet the needs of innovation, to improve the competitiveness of information technology based on the professional abilities and resources, internal business is not enough, but there is a need to seek external support through business support services such as market search support, trade promotion, legal advice, human resource training, support supply and technology transfer support. There are several services to support businesses and to increase efficiency when they are developed in both quantity and scale of service provision and quality, as well as service structure. So how do we analyze the factors that affect information technology support services in Vietnam? Answering this question helps to suggest solutions and policies to promote the development of the business support service sector and contributes to the rapid development of information technology enterprises in Vietnam. This paper uses information from a survey data of 315 Vietnamese information technology (IT) of small and medium sized enterprises and 460 support service providers in 2018. Data are processed through STATA software version 14.0, and SPSS 20.0 software. The results indicate the Vietnamese business units need to improve to develop the information technology service market, significantly.

Aggregate production planning (APP) is concerned with determining the optimum production and workforce levels for each period over the medium term planning horizon. It aims to set overall production levels for each product family to meet fluctuating demand in the near future. APP is one of the most critical areas of production planning systems. After the state-of-the-art summaries in 1992 by Nam and Logendran [ Nam, S. J., & Logendran, R. (1992). Aggregate production planning—a survey of models and methodologies. European Journal of Operational Research, 61(3), 255-272. ], which specifically summarized the various existing techniques from 1950 to 1990 into a framework depending on their abilities to either produce an exact optimal or near-optimal solution, there has not been any systematic survey in the literature. This paper reviews the literature on APP models to meet two main purposes. First, a systematic structure for classifying APP models is proposed. Second, the existing gaps in the literature are demonstrated in order to extract future directions of this research area. This paper covers a variety of APP models’ characteristics including modeling structures, important issues, and solving approaches, in contrast to other literature reviews in this field which focused on methodologies in APP models. Finally some directions for future research in this research area are suggested.

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 objective of this study is to examine the role of tangible resources and operational performance (OP) in the financial performance (FP). This study examined the relationship between tangible resources, OP, supply chain, profitability and sustainable FP. Furthermore, this study examined the mediation effect of supply chain and profitability. Indonesian electronic companies were selected in the current study for data collection. Therefore, the population is grounded on the Indonesian electronic companies and data were collected from the employees of these companies. 600 questionnaires were used in this study for data collection and 350 questionnaires were returned to analyze the data. Data analysis was carried out through Structural Equation Modeling (SEM). Results of the study highlighted that resources are the major role in FP. Particularly, the tangible resources of the company are vital to enhance the performance in financial terms. Tangible resources have a positive effect on OP, supply chain and profitability. Furthermore, OP has a positive effect on supply chain and profitability which further increases the FP.

The study's goal is to see how electronic customer relationship management affects the quality of service at private hospitals in Jordan. The dimensions of customer relationship management (CRM) represented by website design, website search, privacy, security, and service delivery on time, while the dimensions of quality of service include reliability, responsiveness, assurance, and empathy. It focused on private hospitals in Jordan. Data were primarily gathered through self-reported questionnaires created by Google Forms distributed to a purposive sample of inpatients via email. The statistical program AMOSv24 was used to test the study hypotheses. The results demonstrated that electronic customer relationship management had a positive impact on service quality. Considering the results, the researchers recommend improving the degree of its practice of managing electronic customer relations by reconsidering its websites in terms of focusing on the website design and its ease of use by patients and the possibility of searching the website.

This paper investigates factors affecting the profitability of real estate firms in Vietnam by using data of 55 real estate firms listed on Hochiminh and Hanoi stock exchanges over the period 2010-2018. The study applies estimation using panel data which consists of Pooled Regression model (POLS), Fixed Effects model (FEM) and Random effects model (REM). Generalized Method of Moment (GMM) is also implemented to resolve some problems such as autocorrelation among the residuals, heteroscedasticity and other potential endogenous problems. In this study, firm profitability is measured by return on assets. Like earlier studies, the findings indicate that the factors determining firm profitability were leverage, age of the firm, current ratio and inflation rate. Moreover, the results also show the impact of economic growth rate on firm profitability. The paper of-fers strong implications for the authorities, real estate firms as well as investors.

Sustainable Competitive Advantage (SCA) is very much needed in the development of the business world. This study aims to determine the model of increasing the SCA variable with Entrepreneurial Capability (EC) and Knowledge Integration Capability (KIC) directly or through Supply Chain Management (SCM) variables indirectly so that the objectives of SCA in small and medium enterprises (SMEs) can be achieved effectively. The research method used is a quantitative method with a structural model type using the SmartPLS version 3.2 program. The population in this study were all 2,296 administrators and members of IPEMI West Java. The sampling method used is random sampling. Data collection techniques using questionnaires were addressed to 360 respondents and 344 respondents were properly collected. The results show that EC influenced SCA with a T statistics score of 3.971, EC for SCM was 4.858, KIC for EC was 13.874, KIC for SCA was 1.886, KIC against SCM was 7.876, and SCM against SCA was 7.796 and it can be concluded that KIC to SCA can be significant if it is through SCM.