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.