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.

This study examines the impact of entrepreneurial orientation (EO) dimensions on the apparel industry's export performance. EO considers as innovativeness, proactiveness, and risk-taking dimensions. The determinants of export performance are firms' financial, strategic, and satisfaction levels of performance. A cross-sectional survey is carried out by providing a questionnaire to high-level managers and owners of the MLEs. Primary data of 339 treated by partial least squares (PLS-SEM) technique examines EO dimensions' impact on export performance. The findings of this study revealed that innovativeness and proactiveness positively and significantly impact export performance. However, risk-taking dimension does not affect export performance.

A constant concern of academic institutions has been to improve the customer satisfaction in university libraries. The service quality within academic library context is pivotal for satisfying customers by meeting the customers’ needs to create loyalty amongst customers. This research uses LibQual to analyze the gap between customer’s perception and expectation, concerned with the services at the University Sultan Zainal Abidin (UniSZA) Library. There are six dimensions in service quality; namely general services, search for materials, library collection, staff, environment and environment, considered for this empirical research. The purpose of this paper is to 1) know service quality dimensions that satisfy the customers and 2) to observe the impact of service quality on customer satisfaction. The research methodology is carried out using a questionnaire survey distributed among 170 samples through simple random sampling. The data obtained was analyzed by using covariance-based structural equation modeling and importance-performance analysis. The results suggest that quality of service had a significant impact on customer satisfaction. Among the service quality dimensions, library environment and general service were viewed as high importance and strong performance index. Implication for research and practice resulting from these findings were also discussed.

The rule based categorization approaches such as associative classification have the capability to produce classifiers rival to those learned by traditional categorization approaches such as Naïve Bayes and K-nearest Neighbor. However, the lack of useful discovery and usage of categorization rules are the major challenges of rule based approaches and their performance is declined with large set of rules. Genetic Algorithm (GA) is effective to reduce the high dimensionality and improve categorization performance. However, the usage of GA in most researches is limited in the categorization preprocessing stage and its results is used to simplify the categorization process performed by other categorization algorithms. This paper proposed a hybrid GA rule based categorization method, named genetic algorithm rule based categorization (GARC), to enhance the accuracy of categorization rules and to produce accurate classifier for text mining. The GARC consists of three main stages; namely, search space determination, rule discovery with validation (rule generation), and categorization. The experimental results are carried out on three Arabic text datasets with multiple categories to evaluate the efficiency of GARC. The results show that a promising performance was achieved by using GARC for Arabic text categorization. The GARC achieves the best performance with small feature space in most situations.

Clustering is one of the most common unsupervised data mining classification techniques for splitting objects into a set of meaningful groups. However, the traditional k-means algorithm is not applicable to retrieve useful information / clusters, particularly when there is an overwhelming growth of multidimensional data. Therefore, it is necessary to introduce a new strategy to determine the optimal number of clusters. To improve the clustering task on high dimensional data sets, the distance based k-means algorithm is proposed. The proposed algorithm is tested using eighteen sets of normal and non-normal multivariate simulation data under various combinations. Evidence gathered from the simulation reveal that the proposed algorithm is capable of identifying the exact number of clusters.

Although the relationship between resilience and career success has been well documented, very few studies relate these variables in developing economies, and especially in entrepreneurship in Nigeria. Additionally, how commitment actually shapes this relationship is conspicuously neglected. This empirical investigation was aimed at examining the influence of entrepreneurial career resilience on the three facets of entrepreneurial career success, i.e. career satisfaction, perceived career achievement and perceived financial attainment through the mediating role of entrepreneurial career commitment. The study used cross sectional data approach to collect data from 390 active entrepre-neurs. The participants were selected using purposive sampling technique. PLS-SEM statistical software (Smart-PLS 3) was used to test the formulated hypotheses. The findings suggested that; entrepreneurial career resilience was a positive predictor of the career satisfaction and perceived ca-reer achievement but it did not predict perceived financial attainment; that, entrepreneurial career resilience predicted entrepreneurial career commitment; that, entrepreneurial career commitment predicted career satisfaction, perceived career achievement and perceived financial attainment. Moreover, entrepreneurial career commitment significantly influenced the relationships of entrepreneurial career resilience and the two facets of entrepreneurial career success.

The numerical simulation of fatigue behavior of the Aluminum 7075-T6 cantilever beam with an angular crack has been investigated. Cracks are located separately in three different positions of the investigated beam. To predict the fatigue behavior of the cantilever beam the crack propagation was manually simulated. Compression load is applied in different stress ratios between zero and one; then, the obtained numerical results of this research are compared with the experimental results. It is observed that increasing the stress ratio increases the percentage of the fatigue life of the sample significantly. Ascending growth of fatigue life is slow and more severe by increasing of the stress ratio for the first and the third position, respectively. By increasing the stress ratio, the rate of deviation of the crack decreases and it converges to 0° in parallel to the width of the beam. This result is also observed with an increase in the distance from the support of beam. Furthermore, it is also revealed that by the increase in the initial length of the crack, the fatigue life initially reduces with smaller ratios. However, along the larger cracks, the decreasing ratio of fatigue life increases significantly.