This study examines the predictive factors of job performance involving work stress, social support and emotional intelligence. Using two stage cluster random sampling, data were collected from 424 police in Selangor, who responded to Police Stress Questionnaire (PSQ), Job Content Questionnaire (JCQ), Emotional Intelligence Self-Description Inventory (EISDI) and Formal Performance Appraisals. The findings show that work stress, social support and emotional intelligence were significantly correlated with police job performance. In addition, regression analysis reveals that emotional intelligence was the most significant predictor of job performance. Implication of this study indicates the important of emotional intelligence in enhancing job performance among police per-sonnel in Selangor. The paper concludes by highlighting future research directions which can offer a more comprehensive study in predicting job performance particularly in the context of Malaysia.

This study examines the role of social support in the relationship between work family conflict (work to family; WFC & family to work; FWC) and family satisfaction for private sector employees. Using simple random sampling, data were collected from 260 employees from eight private companies in Terengganu, who responded to the Job Content Questionnaire, Work Family Conflict Scale and Family Satisfaction Scale. Results indicate that both WFC and FWC had significant relationships with family satisfaction. The results of the regression analysis confirmed that FWC was a significant predictor of employees’ family satisfaction. However, social support did not buffer the relationship between work family conflict and family satisfaction. Implication of this study indicates that the organizations need to emphasize the effective strategies of development and implementation for work family balance in improving family satisfaction among employees. The suggestions for future research are also addressed, especially in the Malaysian context.

The purpose of this study is to investigate the difference between the brand selection decisions before and after the ad serving and to examine the impact of attitude, which is owned by the consumer before the ad, to the changes in consumer decisions in the selection of the brand. This study was conducted using causal research design. The sampling method used was non-probabilistic sampling and sample size of 540, consisting of 270 users for brand Pantene and 270 users for brand Rejoice. The results of this study indicate that the attitude of consumers before ad serving had an influence on several changes in the selection decision. This research is important for marketers to continuously understand consumer attitudes, by knowing the type of information on the brand owned by the consumer, the ability of consumer groups in information processing, and the ownership of motivation to process the information.

The factors affecting the success of knowledge management (KM) tools play an important role in knowledge processes. This research investigates the factors affecting the success of KM tools in the research projects of a corporate university. The research method is descriptive and the statistical population of the study consisted of all professors and knowledge workers of a university. 147 of them were selected through a targeted sampling method. Data collection was conducted through a questionnaire. To determine the validity of the questionnaire, content and formal validity were used and its reliability was calculated by using Cronbach's alpha with the value calculated of 0.83. Data were analyzed by using descriptive statistics, t-test and Friedman test. In this study, the factors of culture, information technology, strategy and goal, organizational infrastructure, employee motivation, leadership and management support, human resources management, education, financial resources, measurement, processes and activities, structure and communications in the knowledge management cycle of research projects of the university studied were identified as the effective factors in the KM cycle.

During the past few years, there have been various studies on the relationship between academic behavior, teaching and student retention but not much has been on administration staff and students. This study examined improving employees’ behavioural factors towards increasing students' loyalty. The paper explores the direct mediation and indirect mediation of employee behavioural factors leading to build student loyalty. More specifically the focus is on the constructs of service quality (SQLTY), need understanding (NEEDUND), intimacy (INTIMACY), and student loyalty (STLOY). This study depended on a positivist research paradigm. In this study, over 800 structured questionnaires were administered for research subjects. However, 743 were captured for the final analysis. The analytical tool used in this study is the ADANCO 2.0.1 software and in terms of statistical processing, the PLS-SEM technique was utilized. The two main takeaways from the direct relationships are that INTIMACY is a strong predictor of STLOY, and NEEDUND is also a strong predictor of SQLTY. The indirect mediations of INTIMACY on SQLTY and STLOY, INTIMACY on NEEDUND and STLOY, and SQLTY on NEEDUND and INTIMACY were all not supported. The study, like any academic work, has limitations. Despite these limitations, this study offers theoretical as well as practical values for the research community and administrators of universities and higher education administrators as a whole. For administrators of the universities and the higher education, the study points out the critical needs for administrators to better understand students’ loyalty and behaviours of employees during the service encounter, which could lead to intimacy and eventually student loyalty. The present study is innovated by quantitatively examining how the above mentioned behavioural factors of employees could lead to INTIMACY and STLOY.

Information Technology (IT) plays an essential role on development of effective supply chain planning and it can improve the supply chain performance, either directly or indirectly. As a national industry, the National Iranian Oil Products Distribution Company involves a large number of organizations within its supply chain. Therefore, this descriptive-survey uses information sharing indicators, fuzzy TOPSIS technique based on managers and expert opinions to evaluate and to rank some oil products distribution companies. Data are analyzed and the results show that Oil Products Distribution Company of Chaharmahal and Bakhtiari received the highest rank and Farsan maintained the lowest rank compared with other regional companies.

Nowadays, automobile industries are facing huge competition as the sector is expanding and ame-liorating day by day. All organizations are thriving to attain top position by increasing their produc-tivity. Productivity improvement is a function of eliminating rejection problem and improving system. To excel and improve the organizational efficiency a complete focus on finding root causes and eliminating factors responsible is needed. In industries, hurdles are associated with all operations. The existing study is about problem solving in a diecasting industry manufacturing alternator bracket. The authors explain the use of different statistical quality tools with the help of Minitab software to analyze root cause for enhancing the low productivity level. The streaming explanation of methodology can be useful for the organization of similar profile towards productivity improvement.

This study evaluates the interactions among personal values, ability and service quality of all branches of two commercial banks (CIMB and Maybank) operating in Kuala Lumpur, Malaysia (N = 117 branches), which are the greatest financial services group with the highest ranking based on asset range and financial statistics. The results indicate a difference in Malaysian values context and priority compared with the previous studies performed in developed countries. Structural Equation Model (SEM) is applied to analyze the mediating role of ability among personal values and service quality. The results show a strong and positive effect of three dimensions of values, including self-enhancement, openness to change and conservation on service quality in direct and indirect effect. Also, research findings mention the employees’ ability as a behavior outcome plays a mediator role in the relationship between these three constructs of personal values and bank service quality. Implications of research findings are discussed, together with limitations and suggestions for future studies.

Due to various added advantages over the conventional material removal processes, non-traditional machining (NTM) processes have now been widely applied in different manufacturing industries. To achieve the desired response values, it is always recommended to operate these NTM processes at their optimal parametric settings. Various single response optimization techniques are already available to determine the optimal combinations of NTM process parameters for achieving maximum or minimum value of a single response. In this paper, a multivariate quality loss function approach is adopted for simultaneous optimization of responses for three NTM processes. It is observed that this approach outperforms the other multi-response optimization techniques, like desirability function, distance function and mean squared error methods with respect to the achieved re-sponse values. With modification of the corresponding objective function and constraints of the de-veloped non-linear programming problem, it can be effectively applied to any non-traditional as well as conventional machining process as a multi-objective optimization tool.

Information System (IS) is a strife to exploit Business Intelligence (BI) in an organization. In the Malaysian Halal Food Manufacturing, a league of Information Technology (IT) professional and decision makers is the architect of the perspective in IT. There are numerous research studies on utilizing and investigating strategic effects of environmental factors augmentation on the organizations, but compact information is acknowledged prevailing how the subjective conception for the strategic source of deci-sions is transformed into the objective principle. Hence, general interpretation of the IT professional and the decision makers is crucial for a comprehensive and collaborative decision-making process. Therefore, prosper stimulate assimilation of the environmental factors that persuade the knowledge integration between IT professionals and decision makers is compulsory. BI and Big Data (BD) help organizations derive enhance decision-making process and knowledge creation. The objective of this research study is to emerge knowledge from organizing BD and to utilize BI together with perceiving MIT90s framework and environmental factors for the analysis of decision-making process of halal food manufacturers in Malaysia. The study applied regression analysis to predicted 103 responses to determine decision making of business performance. The results indicate that halal market demand played important role in predicting business performance of halal manufactures. This study provides some insights into decision making perspectives of business performance management among halal food manufacturers in Malaysia.