The field of strategic innovation (SI) has been garnering increasing research interest, with studies adopting and employing varying definitions and creating different methods for its measurement. Despite the innumerable studies, few have addressed manufacturing and small and medium-sized enterprises (SMEs), particularly those focused on Middle East countries, in light of the relationship between structural capital (SC) and SI. Hence, the present work is primarily aimed at examining the role of SC in SI and the performance of manufacturing SMEs. It employed the survey method to gather data from the study sample of 284 Yemeni manufacturing SMEs and the hypotheses were tested using Partial Least Squares-Structural Equation Modelling (PLS-SEM). On the basis of the results, there is a significant influence of SI on performance; SC also has a moderating role of on this relationship. The present study is expected to contribute to the creation of a measurement system for SI in SMEs, stressing each component of SI in enhancing the performance of such enterprises.

Ratcheting is a second failure mode in low cycle fatigue loading where plastic strain accumulates in each cycle. It is difficult to precisely estimate component deformation due to the complexities of cyclic hardening. In order to study the deformation, all types of hardening rules must be determined priorly. In this study, the determination procedures of combined hardening parameters are presented using Abaqus software. The experiment data of API-5L X80 from the past research have been utilized. Lastly, the different inputs of non-linear kinematic hardening choices are analyzed and presented.

COVID-19 has spread to more than a hundred countries worldwide since the first case reported in late 2019 in Wuhan, China. As one of the countries affected by the spread of COVID-19 cases, the local government of Malaysia has issued several policies to reduce the spread of this outbreak. One of the measures taken by the Malaysian government, namely the Movement Control Order, has been carried out since March 18, 2020. In order to provide precise information to the government so that it can take the appropriate measures, many researchers have attempted to predict and create the model for these cases to identify the number of cases each day and the peak of this pandemic. Therefore, hospitals and health workers can anticipate a surge in COVID-19 patients. In this research, confirmed, recovered, and death cases prediction was performed using the neural network as one of the machine learning methods with high accuracy. The neural network model used is the Multi-Layer Perceptron, Neural Network Auto-Regressive, and Extreme Learning Machine. The three models calculated the average percentage error (APE) values for 7 days and obtained APE values for most cases less than 10%; only 1 case in the last day of one method had an APE value of approximately 11%. Furthermore, based on the best model, then the forecast is made for the next 7 days. In conclusion, this study identified that the MLP model is the best model for 7-step ahead forecasting for confirmed, recovered, and death cases in Malaysia. However, according to the result of testing data, the ELM performs better than the MLP model.

The Combinatorial Optimization Problem (COPs) is one of the branches of applied mathematics and computer sciences, which is accompanied by many problems such as Facility Layout Problem (FLP), Vehicle Routing Problem (VRP), etc. Even though the use of several mathematical formulations is employed for FLP, Quadratic Assignment Problem (QAP) is one of the most commonly used. One of the major problems of Combinatorial NP-hard Optimization Problem is QAP mathematical model. Consequently, many approaches have been introduced to solve this problem, and these approaches are classified as Approximate and Exact methods. With QAP, each facility is allocated to just one location, thereby reducing cost in terms of aggregate distances weighted by flow values. The primary aim of this study is to propose a hybrid approach which combines Discrete Differential Evolution (DDE) algorithm and Tabu Search (TS) algorithm to enhance solutions of QAP model, to reduce the distances between the locations by finding the best distribution of N facilities to N locations, and to implement hybrid approach based on discrete differential evolution (HDDETS) on many instances of QAP from the benchmark. The performance of the proposed approach has been tested on several sets of instances from the data set of QAP and the results obtained have shown the effective performance of the proposed algorithm in improving several solutions of QAP in reasonable time. Afterwards, the proposed approach is compared with other recent methods in the literature review. Based on the computation results, the proposed hybrid approach outperforms the other methods.

The power-law memory effect is taken into consideration in a generalisation of the economic model of natural growth. The memory effect refers to a process's reliance on its current state and its history of previous changes. However, the study that focuses on natural growth in economics considering the memory effect with fractional order-linear differential equation model is still limited. The current investigation seeks to solve the natural growth with memory effect in the economics model and decide the best model using fractional differential equation (FDE), namely Adomian Decomposition and Variational Iteration Methods. Also, this study assumes the level of consumer loss memory during a certain time interval denoted by a parameter (α). This study showed the model of loss memory effect with 0 < α ≤ 1 given a slowdown in output growth compared to a model without memory effect. Besides that, this study also found that output Y(t) is growing faster with the Variational Iteration method compared to the Adomian decomposition method. Also, using graphical simulation, this study found the output Y(t) is closer to the exact solution with α=0.4 and α=0.9. In conclusion, this study successfully solved natural growth with memory effect in economics and decided the best model between FDE, namely Adomian decomposition and Variational iterative methods using numerical analysis.

The organizational performance at Punjab healthcare is crucial and often faces stock-outs of critical medicines and equipment at emergency department of different hospitals, which increased the mortality rate. Therefore, the study determined the effect of disruptive factors and inventory control as a mediator on organizational performance. Quantitative method with survey questionnaires on a 200-sample size through cluster sampling was used. SPSS and AMOS were used to examine Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling. The results found full mediation with a significant positive effect between study variables. Further, the study indicated that strict compliance of standardized operating procedures, professionally well-equipped staff, stock availability, and accurate inventories could reduce costs with improved service quality. This study is useful for the public healthcare facilities, ministries managing inventories and body of knowledge. Finally, the backlog inventories at public sector organizations need to be researched in future.

Drawing from research on despotic leadership, employee engagement, employee trust and employee task performance using conservation of resource theory and social exchange theory, this study investigated the three-way interaction of mediating effects of employee engagement (EE) and employee trust (ET) in the link between despotic leadership (DL) behavior of supervisor and employee task performance (TP). Data collected from 310 employees reflected that despotic leadership had negative effect on follower’s task performance, yet the role of employee trust and employee engagement provided the evidence of mediation. The study has explored the rarely addressed area of destructive leadership in the cultural setting of a developing country. The findings of the study have significant implications for future research and practice.

Job performance becomes one of crucial issues and challenges faced by the organizations and it is related to employees’ performance. In conjunction with the issue, this study investigates the determinants of job performance among female employees in Malaysia. Respondents involved in this study were composed of 320 female workers selected from manufacturing, education, health and hospitality sectors. The data was collected through self-administered questionnaires by using a five-point Likert scale. The study uses two common statistical analysis, including the descriptive and inferential statistics analyses by assisting statistical software, namely the Statistical Package for Social Science (SPSS-20). The outcome shows that motivation, organizational climate, and time management significantly influenced female employees' job performance. Also, the organizational climate was a determinant factor affecting female job performance in Malaysia. Thus, the finding of this study will assist female employees and employers in understanding the factors that could affect their performance in the organization.

Green awareness is worth researching to determine the customer consumption pattern of environment-friendly products. Several research models are showing the importance of green awareness of customer behavior. This paper studies the role of information in marketing decisions related to customer green awareness. Based on the phenomenon of green awareness, this research work aims to study the role of customer green awareness built through eco-label, environmental knowledge, and perceived quality. This experimental research is conducted on 200 supermarket customers who had experience with green products. The data is collected through a questionnaire and analyzed using the Structural Equation Model approach. SmartPLS is conducted to test the research hypotheses. The findings show that there was a relationship between the eco-label credibility of environment-friendly products on the customers' increased environmental knowledge and perceived quality of the products. Besides, both environmental knowledge and perceived quality are identified to play an essential role in controlling green awareness. Eco-label in product attributes is found to be capable of changing the positive side of green awareness. These findings describe a model in developing green awareness through environmental knowledge and perceived quality with the support of environment-friendly product eco-label. The model also can predict customer green awareness and support the green marketing strategy. Therefore, further research works on green customer behavior are welcome, as green customer behavior must impact on the implementation of green marketing strategies. Also, we may predict the customer behavior of environment-friendly products, and implement better business strategies.

The purpose of this study is to investigate the compulsive buying behavior among Malaysian youths. Specifically, this study aims to examine the indirect effects of money attitude on compulsive buying through materialism. The intercept method was used where respondents were systematically selected based on every fifth student who entered the university library. A structured close-ended self-administered questionnaire was used to collect primary data. Structural equation modelling using SMART PLS 3.0 was employed in this study to analyze the indirect effects of money attitude on compulsive buying through the mediation of materialism. The results indicated that power prestige and anxiety dimensions of money attitude had significant effects on compulsive buying via materialism. Although understanding money attitude, materialism and compulsive buying may help marketers gain greater market share, ethical and socially responsible marketing strategies must also be taken into account. In addition, parents and higher learning institutions need to take initiatives to prevent the forming of maladaptive behaviors among youths. Implications and suggestions for future research are also discussed.