This study examines the effect of strategic management on work performance through organizational commitment, and the influence of strategic management and organizational commitment on employee performance who worked at Muhammadiyah University of Indonesia. The sample used according to the calculation of cluster sampling probability proportionate to size model (PPS) with the formulation of Slovin which yielded 386 employees at 12 muhammadiyah universities in Indonesia. The developed instrument combines part of the existing questionnaire related to strategic management, organizational commitment, and work performance, using the Likert Method of Suc-cessive Interval (MSI) scale. The data were analyzed by regression equation using SPSS 21 soft-ware. The findings of this study concluded that strategic management and organizational commit-ment affect the performance of employees. Moreover, strategic management along with organiza-tional commitment affect the performance of employees. Finally, the effect of strategic management factors under the title of understanding of planning, adequacy to company, and utilization along with organizational commitment is observed positive on the work achievements. For the better un-derstanding, the effects of these factors should also be observed as presented through regression findings of the study. Based on such findings, it is suggested that management of the selected universities should consider the integration between strategic management, organizational commitment, and work achievements.

The scaling of social innovation is an important issue in social enterprises for sustainability. The scenario is due to the social enterprise capabilities to ensure the social program’s impact on society to become wider and deeper. Thus, social innovation helps to identify the social problems and target actions to address the social complex problems by social enterprise capabilities. This study investigates the factors of social enterprise capabilities in enhancing social innovation for sustainabil-ity and for eliminating the social barriers. In addition, the study discusses the relationship between social enterprise capabilities to scale social innovation. The study uses cross-sectional design and collects the necessary data from 136 social enterprises in Malaysia for the survey. The findings show that social enterprise capabilities for earning generation, replicating, and stimulating had a positive relationship with scaling social innovation when the level of significance was 0.05. Accordingly, the social enterprise owners are required to improve their capabilities to reach a higher scale of social innovation for growth and sustainability.

In this research, crash test results from CNG locating method optimization approach for crashworthiness and testing its safety are presented. The locating process is based on principal energy considerations inspired from the current design process in passenger vehicle design development. The potential of the vehicle concept to absorb kinetic energy can be estimated at the very beginning of the design process by the free crash lengths in the different areas of the vehicle and estimates of average forces required in the specific segment and parts of the car body at particular crash phases. Based on the basic principle of vehicle crash analysis using the finite element method, a passenger VAN finite element model was selected to simulate the front and side rear collision test of the VAN, therefore the LS-DYNA software is adopted to calculate the deformation of the car and the acceleration time history curves during the crashing process; the anti-impact capability of the vehicle is evaluated from this simulation. It is important to determine appropriate force distributions and the corresponding loads paths through the whole structure for all relevant crash load in dedicated crash test cases. The results demonstrate that the improvement of local structure and location for the required CNG tanks in safe locations in vehicle chassis can promote the crashworthiness of the car, but the further improvement needs a major change of the vehicle structure. The outcomes are interpreted by using LS-PREPOST to analyze the energy absorption characteristics during crash for different cases at a velocity of 50km/h the duration of 12ms. The result analysis was necessary to derive distinct deformation phases characteristic and following that, the essential crash elements are compared with and without CNG tanks installation in each crash case. At last, the conclusion determines the proposed tank locating model in the selected passenger VAN is within the safe range of crash analysis standards.

Work engagement has gained much prominence over the recent decades. With the aim of address-ing the global engagement crisis, the current study examined how prominent job resources such as supervisor support, coworker support and meaningful work perceptions can influence work engagement. The study also tested the moderation of meaningful work on these relationships. 537 questionnaires were distributed among the employees of six large banks of Pakistan. Structural equation modeling using Smart PLS 2.0 resulted in strong positive relationship of supervisor support and coworker support with work engagement. The findings also concluded strong positive relationship between meaningful work and work engagement. Notably, the bootstrapping results also played significant moderation of meaningful work on the relationship between supervisor support and coworker support with work engagement. The study forwards theoretical and practical implications for future.

This study evaluates the technical efficiency, productivity change of financial companies listed in the Malaysian stock exchange (Bursa Malaysia) and examines the effects of productivity change on efficiency over the period 2007–2016. Moreover, this study also concentrates on the ranking of financial companies according to their efficiency scores. Data Envelopment Analysis (DEA) is uti-lized on a Malmquist Productivity Index in order to calculate the financial companies’ efficiency scores. The results of this study show that some firms were fully efficient. The results implied that these companies were in optimal control of their inputs or resources to generate the maximum outputs. Also, the results indicate a tremendous productivity gain was mostly because of a positive shift in frontier technology and positive shift in technical efficiency. This study is significant because it helps to identify the efficient companies from the financial sector in Malaysia based on multiple inputs and outputs by using the DEA model. Common misspecification problems observed that instability of efficiency scores over productivity.

This study investigates the effect of dividend payout on firms’ future earnings growth (FEG) in Malaysia. We use panel data analysis methodology to determine the effect of dividend payout and other control variables on FEG in 1, 2, 3, 4, and 5 years. Our results show that firm size and payout ratio had significant positive relationship on four out of five dynamic models tested. The remaining factors except of debt ratio are significant at least four out of the five years used in dynamic models in this study. We find evidence that Malaysian firms show mean reversion pattern in their earnings; smaller firms would enjoy greater future earnings growth; increased monitoring from creditors leads to better earnings performance; firms with better investment prospect have greater future growth in earnings; and higher investment in assets leads to higher future earnings growth. The findings show that in Malaysia, managers use dividend as a tool to signal their positive private information about the firms’ future prospect.

The aim of this study is to identify and explore the success factors that influence the fresh product supply chain collaborative performance system (CPS) towards the flow of information among partners along the chain, and the supply chain relationships of all partners in it by identifying the role played by information structures at the planning level of supply chain collaboration, as well as providing policy insights to stakeholders in different countries to analyze applicable implementation. This research method uses a research approach by reviewing the previous literature that was selected deliberately during the last 10 years; journal papers, conferences, working papers, and Ph.D. thesis. Using three steps, the first step found 189 articles. The second step was to get 96 articles that match the topics raised. Finally, the third step, determined 39 articles selected as important topics focusing on fresh production areas and they were categorized and analyzed. This study is considered to be our best knowledge to examine the success factors influencing CPS in FPSC, such as; knowledge of the benefits of collaborative performance systems, reluctance to change, collaborative culture, trust, technology and information, social relations, environmental friendliness, and sustainability security and safety. The theoretical framework, was also developed incorporating the principles of supply chain network collaboration, taking into account the importance of business strategy and inter-organizational network theory, to strengthen the evidence for the relationship between the collaborative planning levels in usable information flow, at both the strategic, operational and tactical levels in the supply chain collaboration. The implication of this research is intended to examine the success factors that influence it, so that it can be developed and become the basis for improvement models that are still rarely applied in this field, from the influencing factors that exist in the collaboration structure.

The objective of this paper is to evaluate the impact of transformational leadership on individual academy performance through knowledge sharing, organizational learning, organizational commitment in higher education Vietnam. The study conducts the research on 500 lecturers at 10 universities in Vietnam. The study uses Smart pls 3.6 software to analyze the data. The results show that transformational leadership had a positive effect on knowledge sharing, organizational learning and organizational commitment. Ultimately, employee engagement and social support play a moderate role in the relationship between transformational leadership and knowledge sharing statistically. However, organizational learning and organizational commitment did not play any mediate role on the relationship between transformational leadership and knowledge sharing.

The purpose of this study is to identify the types of halal food supply risks, types of mitigation strategies for the upstream supply chain and to examine the relationship between halal supply risk and mitigation strategy efforts using the lens of the agency theory. Exploratory factor analysis (EFA) is used to validate the variables of the study and regression is performed to analyze the relationship of halal food supply risk and mitigation strategy. It is identified that halal food supply risk (agency uncertainties) consists of quality risk, delivery risk, and price/cost risk. The mitigation strategy efforts consist of behavior-based management, buffer-based management, and traceability-based management. Results indicate that halal food supply risk significantly increase mitigation strategy efforts of firms. However, price & cost risk does not significantly increase behavior-based management. Practical implications include suggesting the firms to invest more in buffer-oriented so as to mitigate the agency uncertainties.

Nowadays, process optimization has been an interest in engineering design for improving the performance and reducing cost. In practice, in addition to uncertainty or noise parameters, a comprehensive optimization model must be able to attend other circumstances which might be imposed in problems under real operational conditions such as dynamic objectives, multi-responses, various probabilistic distribution, discrete and continuous data, physical constraints to design parameters, performance cost, computational complexity and multi-process environment. The main goal of this paper is to give a general overview on topics with brief systematic review and concise discussions about the recent development on comprehensive robust design optimization methods under hybrid aforesaid circumstances. Both optimization methods of mathematical programming based on Taguchi approach and robust optimization based on scenario sets are briefly described. Metamodels hybrid robust design is discussed as an appropriate methodology to decrease computational complexity in problems under uncertainty. In this context, the authors’ policy is to choose important topics for giving a systematic picture to those who wish to be more familiar with recent studies about robust design optimization hybrid metamodels, also by attending real circumstances in practice. In particular, production and project management are considered as two important methodologies that could be improved by applications of advanced robust design combining with metamodel methods.