Large-scale wind turbines mostly use Continuously Variable Transmission (CVT) as the transmission system, which is highly efficient. However, it comes with high complexity and cost too. In contrast, the small-scale wind turbines that are available in the market offer a one-speed gearing system only where no gear ratios are varied, resulting in low efficiency of harvesting energy and leading to gears failure. In this research, an unsupervised machine-learning algorithm is proposed to address the energy efficiency of the automatic transmission system in vertical axis wind turbines (VAWT), to increase its efficiency in harvesting energy. The aim is to find the best adjustment for VAWT while the automatic transmission system is taken into account. For this purpose, the system is simulated and tested under various gear ratios conditions while a centrifugal clutch is applied to automatic gear shifting. The outcomes indicated that the automatic transmission system could successfully adjust the spinning in line with the wind speed. As a result, the obtained level of harvested voltage and power by VAWT with the automatic transmission system are improved significantly. Consequently, it is concluded that automatic VAWTs, equipped with the machine-learning capability can readjust themselves with the wind speed more efficiently.

The Flexible flow shop (FFS) is defined as a multi-stage flow shops with multiple parallel machines. FFS scheduling problem is a complex combinatorial problem which has been intensively studied in many real world industries. This review paper gives a comprehensive exploration review on the FFS scheduling problem and guides the reader by considering and understanding different environmental assumptions, system constraints and objective functions for future research works. The published papers are classified into two categories. First is the FFS system characteristics and constraints including the problem differences and limitation defined by different studies. Second, the scheduling performances evaluation are elaborated and categorized into time, job and multi related objectives. In addition, the resolution approaches that have been used to solve FFS scheduling problems are discussed. This paper gives a comprehensive guide for the reader with respect to future research work on the FFS scheduling problem.

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.

Designing a production process normally is involved with some important constraints such as uncertainty, trade-off between production costs and quality, customer’s expectations and production tolerances. In this paper, a novel multi-objective robust optimization model is introduced to investigate the best levels of design variables. The primary objective is to minimize the production cost while increasing robustness and performance. The response surface methodology is utilized as a common approximation model to fit the relationship between responses and design variables in the worst-case scenario of uncertainties. The target mean ratio α is applied to ensure the quality of the process by providing the robustness for all types of quality characteristics and with a trade-off between variability and deviance from the ideal point. The Lp metric method is used to integrate all objectives in one overall function. In order to estimate target value of the quality loss by considering production tolerances, the process capability ratio (Cpm) is applied. At the end, a numerical chemical mixture problem is served to show the applicability of the proposed method.

In recent years, the issue of food packaging waste has become a vital environmental concern in the society which revolves around waste management practices particularly among food hawkers. The problem has been highlighted by many researchers and numerous suggestions have been made in order to improve sustainability with regard to green environment. Food packaging waste ranks the highest contributor to waste. Thus, environmentally friendly food packaging (EFFP) has been introduced in the market to ensure good management practices could be promoted among food hawkers so that environmental pollution can be reduced. However, even though many environmental programs have been implemented, the usage of EFFP among food hawkers has not improved. Hence, this paper aims to propose a specific actual behavior model to determine the usage of EFFP among food hawkers with personal value as a mediator. The development of the model used data that were collected from local food hawkers. Structural equation modeling was used to test related hypotheses. The findings indicated that personal values were a suitable mediator construct. Furthermore, attitudes, subjective norm, and perceived behavioral were all found to have had significant effects on the in-tention to use and the actual behavior. Finally, this paper also discusses the limitations of the present study and the contribution it has made.

In recent years, the Malaysian Ministry of Tourism has been increasingly investing for the development of homestay destinations, which have a deeply positive and sustainable socio-economic impact on rural communities. Tourists who visit these less-trodden areas of the country in turn have an opportunity to experience its diverse cultural heritage in a more inti-mate and personable way. The purpose of this study is to identify the factors that contribute to tourists’ satisfaction with the service they received at Homestay Banghuris in Sepang, Selangor, Malaysia. A total of 80 tourists willingly participated in a research questionnaire distributed at the homestay. They were selected by the simple random sampling method. The study examined the relationship between service quality and tourist satisfaction and realize that there were positive and meaningful relationship between service quality and customer satisfaction.

Talent management is one of the roles in human resources management and there has been a long debate about talent management for years. This study aims to identify the relationship between talent management and teacher leadership development. In addition, the study also analyzes the talent management and teacher leadership levels. The data are analyzed using descriptive and inferential statistics. Statistical Package for the Social Sciences Software (SPSS) version 23 and Partial Least Squares Structural (Smart PLS) version 3 are also applied to analyze the data. The survey study involves 473 teachers in Malaysia residential school. The findings reveal that talent management and teacher leadership practices were at high levels. There is a significant positive relationship between talent management and teacher leadership development. The results of the study promote the role of talent management that can lead to positive changes in teacher leadership at schools. It is hoped that through this study various stakeholders such as schools, district education offices and the ministry of education of Malaysia will be able to assist in planning and organizing efforts in order to produce good leaders in future. It is hoped that through this study, various stakeholders such as school, district ed-ucation offices as well as the Ministry of Education will be able to assist in planning and organizing efforts to address the role of teacher leadership to produce highly talented future leaders at schools.

The objective of this study is to describe the influence of principals' leadership, work environment, and affiliation motivation on improving the performance of certified teachers at Private Vocational Schools in Tegal City, Indonesia. To achieve this objective, the current study carried out a research survey in Private Vocational Schools of Tegal City. Therefore, data collection was achieved by using survey questionnaire and respondents of the study was school teachers. Thus, this study used quantitative research approach with cross-sectional research design. Data were analyzed by using latest technique, namely; Structural Equation Modeling (SEM) based on Partial Least Square (PLS). The results of the study showed that the leadership of the principal, the work environment, and the motivation to affiliate were well per-ceived by the teachers. Both principal leadership and work environment had direct effects on improving the certified teacher’s performance. The teacher’s performance can be explained by independent head leadership and work environment variables, however, for independent variables namely; motivation to affiliate did not have enough significant influence. Hence, teacher’s performance can be improved through the leadership of principals and a conducive work environment.

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The transformational leadership style as practiced by the organization leaders was examined in their role to enhance employees’ competency for organization performance. A quantitative approach is used in this study using a survey approach through the distribution of a set of questionnaires. In this study, the sample comprised of 232 supervisors from three food manufacturing industries in various supervisory levels, departments, and sections within the production line. The hypotheses were analyzed using IBM Statistical Package for the Social Sciences (SPSS) and partial least squares (PLS-SEM) SmartPLS version 3.0. The statistical analysis results confirm that there was a significant relationship between transformational leadership styles, employees’ competency with organizational performance. The study also confirmed that the transformational leadership styles as practiced substantially contributed to employee competency. Based on the PLS-SEM’s results, this study provides evidence that transformational leadership styles also substantially contributed to organization performance. The study also found that employee competency has contributed to organization performance. Based on the mediation analysis results, the study finds that employee competency mediates the relationship between transformational leadership style and organization performance. These results add to an understanding of the role of transformational leadership style and employee competency in contributing to a higher productivity and organization performance.

Shopping malls are one of the tourism industry’s most attractive and dynamic generators of profit. This study focuses on One Utama Shopping Mall, one of the largest and most well-known shopping centres in Malaysia. The research objective is to determine the level of visitor satisfaction at One Utama and understand how it contributes to the mall’s growth and retention of clientele. Data are collected by way of stratified random sampling and analysed using SPSS 20.0 software. Results demonstrate a significant relationship between all independent variables related to visitor satisfaction: entertainment activities, management services, and shopping centre design. Moreover, push and pull factors are accounted for in determining motivations for visiting the mall. The conclusions of this study are particularly useful for shopping centre owners and stakeholders looking to promote revenue and growth.