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"Aziz, Abdul"
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Sustainable Supply Chain and Business Performance: The Impact of Strategy, Network Design, Information Systems, and Organizational Structure
Technological advancement and the highly competitive nature of business have forced organizations to use multiple strategies to streamline their business operations. Current research investigates the relationship between sustainable supply chain management (SSCM) and business performance, focusing on operational and financial performance. It provides insights into the operational structure, resource utilization, and the identification of strategic tools needed to strengthen organizational performance. The researchers conducted unstructured interviews with 41 industrialists and analyzed them via open-source coding and deducing reasoning. A questionnaire was developed by analyzing critical scientific literature and unstructured interviews. Empirical responses were taken from 202 industrial corporations. The structural analyses indicate that the effective execution of SSCM significantly improves firms’ operational and financial performance. The findings also provide detailed information about different components of SSCM, namely supply chain strategy (SCS), supply chain network design (SCND), organizational structure, and information system, and explain how it relates to the previous literature review by using a multivariate statistical analysis, followed by structural equation modeling (SEM). The findings of current research highlight the significant role of SSC in accelerating firms’ operational and financial performance and suggest that SSCM should be taken as a secondary strategy and must be integrated with the overall business strategy.
Journal Article
Developing forecasting model for future pandemic applications based on COVID-19 data 2020–2022
Improving forecasting particularly time series forecasting accuracy, efficiency and precisely become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so that its spread can be controlled more effectively. However, the results obtained from prediction models are inaccurate, imprecise as well as inefficient due to linear and non-linear patterns exist in the data set, respectively. Therefore, to produce more accurate and efficient COVID-19 prediction value that is closer to the true COVID-19 value, a hybrid approach has been implemented. Thus, aims of this study is (1) to propose a hybrid ARIMA-SVM model to produce better forecasting results. (2) to investigate in terms of the performance of the proposed models and percentage improvement against ARIMA and SVM models. statistical measurements such as MSE, RMSE, MAE, and MAPE then conducted to verify that the proposed models are better than ARIMA and SVM models. Empirical results with three real datasets of well-known cases of COVID-19 in Malaysia show that, compared to the ARIMA and SVM models, the proposed model generates the smallest MSE, RMSE, MAE and MAPE values for the training and testing datasets, means that the predicted value from the proposed model is closer to the actual value. These results prove that the proposed model can generate estimated values more accurately and efficiently. As compared to ARIMA and SVM, our proposed models perform much better in terms of error reduction percentages for all datasets. This is demonstrated by the maximum scores of 73.12%, 74.6%, 90.38%, and 68.99% in the MAE, MAPE, MSE, and RMSE, respectively. Therefore, the proposed model can be the best and effective way to improve prediction performance with a higher level of accuracy and efficiency in predicting cases of COVID-19.
Journal Article
Mixed effects analysis of factors associated with barriers to accessing healthcare among women in sub-Saharan Africa: Insights from demographic and health surveys
Access to healthcare is one of the key global concerns as treasured in the Sustainable Development Goals. This study, therefore, sought to assess the individual and contextual factors associated with barriers to accessing healthcare among women in sub-Saharan Africa (SSA).
Data for this study were obtained from the latest Demographic and Health Surveys (DHS) conducted between January 2010 and December 2018 across 24 countries in SSA. The sample comprised 307,611 women aged 15-49. Data were analysed with STATA version 14.2 using both descriptive and multilevel logistic regression modelling. Statistical significance was set at p<0.05.
It was found that 61.5% of women in SSA face barriers in accessing healthcare. The predominant barriers were getting money needed for treatment (50.1%) and distance to health facility (37.3%). Women aged 35-39 (AOR = 0.945, CI: 0.911-0.980), married women (AOR = 0.694, CI: 0.658-0.732), richest women (AOR = 0.457, CI:0.443-0.472), and those who read newspaper or magazine at least once a week (AOR = 0.893, CI:0.811-0.983) had lower odds of facing barriers in accessing healthcare. However, those with no formal education (AOR = 1.803, CI:1.718-1.891), those in manual occupations (AOR = 1.551, CI: 1.424-1.689), those with parity 4 or more (AOR = 1.211, CI: 1.169-1.255), those who were not covered by health insurance (AOR = 1.284, CI: 1.248-1.322), and those in rural areas (AOR = 1.235, CI:1.209-1.26) had higher odds of facing barriers to healthcare access.
Both individual and contextual factors are associated with barriers to healthcare accessibility in SSA. Particularly, age, marital status, employment, parity, health insurance coverage, exposure to mass media, wealth status and place of residence are associated with barriers to healthcare accessibility. These factors ought to be considered at the various countries in SSA to strengthen existing strategies and develop new interventions to help mitigate the barriers. Some of the SSA African countries can adopt successful programs in other parts of SSA to suit their context such as the National Health Insurance Scheme (NHIS) and the Community-based Health Planning and Services concepts in Ghana.
Journal Article
Business Survival of Small and Medium-Sized Restaurants through a Crisis: The Role of Government Support and Innovation
This study aimed to investigate the effects of government support for the business survival of SME restaurants in Indonesia. In this study, we analyzed the impact of government support on the innovation of SME restaurants as well as the impact of entrepreneurial self-efficacy on innovation. Furthermore, this study analyzed the impact of entrepreneurial self-efficacy and innovation on business survival. A total of 120 owners or managers of SME restaurants participated in this study. The sample was collected based on a purposive method. To analyze the relationship among latent variables, we implemented structural equation modeling (SEM). The results show that government support has a positive impact on business survival through marketing and process innovation. In addition, the business survival of SMEs is affected by marketing innovation, process innovation, and entrepreneurial self-efficacy. In this study, the entrepreneurial factor had the highest impact on SMEs’ survival. This study established the body of knowledge related to the positive effect of government support on innovation in the perspective of small and medium-sized restaurants in the emerging market countries and developed a model of business survival of SMEs during pandemic crises by integrating external factors (government support) and an internal factor (entrepreneurial self-efficacy) through marketing and process innovation in the food processing industry.
Journal Article
Synergy of adsorption and advanced oxidation processes in recalcitrant wastewater treatment
The presence of recalcitrant organic pollutants in water is a major source of concern worldwide. These pollutants are not easily removed using conventional treatment technologies. Integrating adsorption with advanced oxidation processes is an effective technology for removing recalcitrant pollutants. Here, we review the synergy of adsorption and advanced oxidation processes. We discuss adsorption–Fenton, adsorption–photocatalysis, ultrasound–adsorption and adsorption–Ozonation. We note an increasing use of composites with dual functions as adsorbents and catalysts in photocatalysis and heterogeneous Fenton oxidation. Ultrasound irradiation is combined with adsorption to enhance mass transfer through cavitation. However, the contribution of cavitation-induced radicals has not been quantified. While previous studies have given more emphasis on the synergy of the combined processes in pollutants removal, we have highlighted here the potential of the oxidation processes to regenerate spent adsorbents.
Journal Article