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Higher education service quality and performance in technical and vocational education and training (TVET) is critical for developing human capital for economic survival; however, the effects of service quality on organisational performance are still unclear. Furthermore, neglecting employee soft factors and ignoring higher education-specific models have hindered efforts to develop a comprehensive model for service quality excellence in order to improve higher education performance for organisations. This study aims to assess higher education service quality based on a modified higher education performance (modified HEdPERF) model, as well as consideration of the mediating effects of soft factors (i.e., job satisfaction and organisational commitment) in Malaysian polytechnic institutions. Based on random sampling, 214 department heads from 33 polytechnic institutes in Malaysia participated in this study. Data were collected through self-administered questionnaires and were analysed using AMOS. The results uncover that service quality significantly affects job satisfaction, thus positively affecting organisational commitment, which enhances organisational performance sustainability. The findings also reveal that job satisfaction fully mediates the relationship between service quality and organisational commitment. Similarly, organisational commitment fully mediates the relationship between job satisfaction and organisational performance sustainability. The results have important implications for enhancing organisational performance sustainability in a TVET context when implementing the modified HEdPERF service quality model with simultaneous attention paid towards employee soft factors.
Sulaiman Khalid; Khairul Ali; Zafir Makhbul; Mohd Ali; Siti Wahid. Exploring the Effects of a Modified Higher Education Performance Service Quality Model on Organisational Sustainability: The Case of Malaysian Polytechnics. Sustainability 2021, 13, 8105 .
AMA StyleSulaiman Khalid, Khairul Ali, Zafir Makhbul, Mohd Ali, Siti Wahid. Exploring the Effects of a Modified Higher Education Performance Service Quality Model on Organisational Sustainability: The Case of Malaysian Polytechnics. Sustainability. 2021; 13 (14):8105.
Chicago/Turabian StyleSulaiman Khalid; Khairul Ali; Zafir Makhbul; Mohd Ali; Siti Wahid. 2021. "Exploring the Effects of a Modified Higher Education Performance Service Quality Model on Organisational Sustainability: The Case of Malaysian Polytechnics." Sustainability 13, no. 14: 8105.
The amount of food being thrown away despite being in an edible condition has become alarming in countries with populations with medium and high incomes. Changes in consumer behaviour, such as overbuying, are some of the major impetuses of food waste. This study aimed to examine the relationship between food waste and social media usage, neuroticism, and impulse buying. The mediating role of impulse buying and the moderating role of neuroticism on food waste during the coronavirus (COVID-19) pandemic were also uncovered in this study. A self-administered online survey was distributed to a total of 274 consumers who had experienced a lockdown during the COVID-19 outbreak and were also regular buyers of food. Empirical findings supported the fact that social media usage, neuroticism, and impulse buying were positively related to food waste. Impulse buying mediates the relationship between social media usage and food waste, as well as between neuroticism and food waste. The study results also revealed that neuroticism positively moderates the relationship between social media usage and food waste. This paper offers new insights into efforts for sustainable food consumption to tackle the issue of food waste.
Aishath Lahath; Nor Asiah Omar; Mohd Helmi Ali; Ming-Lang Tseng; Zaleha Yazid. Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste. Sustainable Production and Consumption 2021, 28, 519 -531.
AMA StyleAishath Lahath, Nor Asiah Omar, Mohd Helmi Ali, Ming-Lang Tseng, Zaleha Yazid. Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste. Sustainable Production and Consumption. 2021; 28 ():519-531.
Chicago/Turabian StyleAishath Lahath; Nor Asiah Omar; Mohd Helmi Ali; Ming-Lang Tseng; Zaleha Yazid. 2021. "Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste." Sustainable Production and Consumption 28, no. : 519-531.
Industry 4.0 has the potential to cause both evolutionary (operational) and revolutionary (strategic) changes, but assessing the readiness of companies towards Industry 4.0 has largely been a challenge. Industry 4.0 readiness is also important as it is the first step for companies that want to adopt Industry 4.0 technologies. This paper pilot surveys 100 technology companies in Malaysia to understand their overall readiness towards Industry 4.0. In particular, this research paper contributes to the assessment of Industry 4.0 readiness in terms of seven key areas: (i) Market pressure, (ii) risk-taking, (iii) knowledge, (iv) management support, (v) competencies, (vi) motivation and (vii) freedom. These findings can act as stepping stones for managers and companies that are aiming towards the implementation of Industry 4.0 readiness.
Mansoor Soomro; Mohd Hizam-Hanafiah; Nor Abdullah; Mohd Ali; Muhammad Jusoh. Industry 4.0 Readiness of Technology Companies: A Pilot Study from Malaysia. Administrative Sciences 2021, 11, 56 .
AMA StyleMansoor Soomro, Mohd Hizam-Hanafiah, Nor Abdullah, Mohd Ali, Muhammad Jusoh. Industry 4.0 Readiness of Technology Companies: A Pilot Study from Malaysia. Administrative Sciences. 2021; 11 (2):56.
Chicago/Turabian StyleMansoor Soomro; Mohd Hizam-Hanafiah; Nor Abdullah; Mohd Ali; Muhammad Jusoh. 2021. "Industry 4.0 Readiness of Technology Companies: A Pilot Study from Malaysia." Administrative Sciences 11, no. 2: 56.
This study proposes a sustainable blockchain framework for the halal food supply chain. As is widely acknowledged, blockchain could enhance supply chain integrity, but its impacts on the halal food supply chain are unknown. Disruptive technologies for Industry 4.0 can improve transparency, which is desperately needed in the food supply chain; however, various challenges are also incurred. Based on five in-depth halal food supply chain case studies, this paper reveals a practical framework for overcoming the challenges faced by the halal food supply chain pertaining to blockchain implementation. The framework comprises five key challenges that are vital to small and medium enterprises in halal food supply chain blockchain implementation. The findings also indicate that the halal food supply chain can gain a congruent and fresh perspective in inducing or superseding blockchain technology. In addition, the roles of supply chain integration and food regulations as the key enablers on the success of blockchain technology in the halal food supply chain are also discussed in this study. Additionally, the limitations and future research directions are also discussed.
Mohd Helmi Ali; Leanne Chung; Ajay Kumar; Suhaiza Zailani; Kim Hua Tan. A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia. Technological Forecasting and Social Change 2021, 170, 120870 .
AMA StyleMohd Helmi Ali, Leanne Chung, Ajay Kumar, Suhaiza Zailani, Kim Hua Tan. A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia. Technological Forecasting and Social Change. 2021; 170 ():120870.
Chicago/Turabian StyleMohd Helmi Ali; Leanne Chung; Ajay Kumar; Suhaiza Zailani; Kim Hua Tan. 2021. "A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia." Technological Forecasting and Social Change 170, no. : 120870.
The lack of a vaccine for COVID-19 and the limited amount of reliable data on the cessation of the disease have made people feel more vulnerable to the disease. As a result, people in many countries have been found to engage in panic purchasing, which has adversely affected the supply system for the retail market. Applying behavioral inhibition system theory, reactance theory, and expectancy theory, this research examines how psychological factors such as uncertainty, perceptions of severity, perceptions of scarcity, and anxiety affected the panic purchasing behavior of consumers. This study was conducted in Malaysia in light of the 2020 outbreak of the COVID-19 pandemic. The results from structural equation modeling indicate that uncertainty, and perceptions of scarcity are positively associated with anxiety but not with the panic purchasing behavior of consumers. In addition, anxiety fully mediates the relationship among these variables and the panic purchasing behavior of consumers. Taken together, these findings provide support for doing more empirical research in order to develop a more resilient retail strategy and to improve consumer service.
Nor Asiah Omar; Muhamad Azrin Nazri; Mohd Helmi Ali; Syed Shah Alam. The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety. Journal of Retailing and Consumer Services 2021, 62, 102600 .
AMA StyleNor Asiah Omar, Muhamad Azrin Nazri, Mohd Helmi Ali, Syed Shah Alam. The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety. Journal of Retailing and Consumer Services. 2021; 62 ():102600.
Chicago/Turabian StyleNor Asiah Omar; Muhamad Azrin Nazri; Mohd Helmi Ali; Syed Shah Alam. 2021. "The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety." Journal of Retailing and Consumer Services 62, no. : 102600.
Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.
Mansoor Soomro; Mohd Hizam-Hanafiah; Nor Abdullah; Mohd Ali; Muhammad Jusoh. Embracing Industry 4.0: Empirical Insights from Malaysia. Informatics 2021, 8, 30 .
AMA StyleMansoor Soomro, Mohd Hizam-Hanafiah, Nor Abdullah, Mohd Ali, Muhammad Jusoh. Embracing Industry 4.0: Empirical Insights from Malaysia. Informatics. 2021; 8 (2):30.
Chicago/Turabian StyleMansoor Soomro; Mohd Hizam-Hanafiah; Nor Abdullah; Mohd Ali; Muhammad Jusoh. 2021. "Embracing Industry 4.0: Empirical Insights from Malaysia." Informatics 8, no. 2: 30.
The large amount of construction and demolition waste (CDW), coupled with poor management create burdens for the environment, society and economy. Barriers hinder sustainable CDW management. Understanding the barriers can promote the development of eco-friendly, socially harmless, and economically viable strategies. This study aims to integrate sustainable waste management in construction (SWM) and demolition practices. This study develops a valid set of attributes to justify the interrelationships among the barriers. The attributes of sustainable waste management are qualitative by nature, and uncertainties exist because of linguistic preferences regarding the attributes. This study applies the fuzzy Delphi method to validate five barriers and 14 criteria under uncertainties. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) with qualitative information is used to determine the interrelationships among the barriers. The results indicate that regulatory barriers are the primary cause of technical and environmental barriers. In Somaliland, the criteria hindering sustainable CDW management practices are the lack of awareness, the lack of commitment, ineffective management, the lack of collaboration, the lack of national vision, inadequate funding, limited infrastructure, the lack of supervision, and the lack of legal enforcement. The theoretical and managerial implications of this study are discussed.
Yeneneh Tamirat Negash; Abdiqani Muse Hassan; Ming-Lang Tseng; Kuo-Jui Wu; Mohd Helmi Ali. Sustainable construction and demolition waste management in Somaliland: Regulatory barriers lead to technical and environmental barriers. Journal of Cleaner Production 2021, 297, 126717 .
AMA StyleYeneneh Tamirat Negash, Abdiqani Muse Hassan, Ming-Lang Tseng, Kuo-Jui Wu, Mohd Helmi Ali. Sustainable construction and demolition waste management in Somaliland: Regulatory barriers lead to technical and environmental barriers. Journal of Cleaner Production. 2021; 297 ():126717.
Chicago/Turabian StyleYeneneh Tamirat Negash; Abdiqani Muse Hassan; Ming-Lang Tseng; Kuo-Jui Wu; Mohd Helmi Ali. 2021. "Sustainable construction and demolition waste management in Somaliland: Regulatory barriers lead to technical and environmental barriers." Journal of Cleaner Production 297, no. : 126717.
A variety of critical empirical studies are interested in and focused on complex issues related to natural resource management and resource curse, whilst less can be found combining diverse factors that affect the dynamics of this curse and mitigate it. The case study of Norway is used as the benchmark policy framework in oil-rich countries to invest oil revenues and set correct fiscal policies. In this study, an analytical framework was structured to evaluate the coherence of resource management with sustainability as a starting point, contributing to further assessments of how the adaptation of such policies is incorporated in resource management to mitigate the resource curse. The analysis also suggests that oil-rich countries can learn from Norway’s experience to mitigate this resource curse and utilize oil revenues in the interest of the country. In addition, the analysis helps in effective management and the protection of ecological resources as these are becoming an increasingly important strategic part of natural wealth. This study aimed to provide an overarching framework designed to help conceptualize key issues of natural resource management and the resource curse in oil-rich countries and understand the challenges facing those countries in managing the natural resources.
Basem Ertimi; Tamat Sarmidi; Norlin Khalid; Mohd Helmi Ali. The Policy Framework of Natural Resource Management in Oil-Dependence Countries. Economies 2021, 9, 25 .
AMA StyleBasem Ertimi, Tamat Sarmidi, Norlin Khalid, Mohd Helmi Ali. The Policy Framework of Natural Resource Management in Oil-Dependence Countries. Economies. 2021; 9 (1):25.
Chicago/Turabian StyleBasem Ertimi; Tamat Sarmidi; Norlin Khalid; Mohd Helmi Ali. 2021. "The Policy Framework of Natural Resource Management in Oil-Dependence Countries." Economies 9, no. 1: 25.
The potential of the Polar Silk Road (PSR) to accelerate the shipping trade is gaining importance because sea ice is currently melting in the Arctic region. Economic growth generates negative environmental and social impacts (TBL aspects); however, only a few studies have discussed the opportunities and threats in balancing TBL aspects. To fill this knowledge gap, this study addresses the opportunities and threats presented by the PSR. Nevertheless, information on the PSR is spread across diverse databases and is incomplete. This study utilizes a data-driven approach to handle these diverse databases and incomplete information and thereby to provide visual two- and three-dimensional impact analyses of opportunities and threats. This study contributes to the literature by (1) bridging TBL aspects of the PSR, (2) using a proposed hybrid method to address the aspect-balancing problem, and (3) providing insights on the opportunities and threats of the PSR. The results reveal negative effects of the PSR in terms of the balance between the economic and environmental aspects and that between the economic and social aspects. This study confirms that the scale and speed of development of the PSR pose a challenge to the environmental and social standards upheld by the surrounding countries and regions. Russia and the United Kingdom are ranked first and second in upholding these standards, while Germany, the Republic of Korea, the Netherlands and Norway strive to achieve a balance between the economic, social and environmental aspects.
Kuo-Jui Wu; Ming-Lang Tseng; Mohd Helmi Ali; Bing Xue; Anthony S.F. Chiu; Minoru Fujii; Ming Xu; Shulin Lan; Maomao Ren; Yan Bin. Opportunity or threat in balancing social, economic and environmental impacts: The appearance of the Polar Silk Road. Environmental Impact Assessment Review 2021, 88, 106570 .
AMA StyleKuo-Jui Wu, Ming-Lang Tseng, Mohd Helmi Ali, Bing Xue, Anthony S.F. Chiu, Minoru Fujii, Ming Xu, Shulin Lan, Maomao Ren, Yan Bin. Opportunity or threat in balancing social, economic and environmental impacts: The appearance of the Polar Silk Road. Environmental Impact Assessment Review. 2021; 88 ():106570.
Chicago/Turabian StyleKuo-Jui Wu; Ming-Lang Tseng; Mohd Helmi Ali; Bing Xue; Anthony S.F. Chiu; Minoru Fujii; Ming Xu; Shulin Lan; Maomao Ren; Yan Bin. 2021. "Opportunity or threat in balancing social, economic and environmental impacts: The appearance of the Polar Silk Road." Environmental Impact Assessment Review 88, no. : 106570.
Basem Ertimi; Tamat Sarmidi; Norlin Khalid; Mohd Helmi Ali. The Policy Framework of Natural Resource Management in Oil-Dependence Countries. Economies 2021, 1 .
AMA StyleBasem Ertimi, Tamat Sarmidi, Norlin Khalid, Mohd Helmi Ali. The Policy Framework of Natural Resource Management in Oil-Dependence Countries. Economies. 2021; ():1.
Chicago/Turabian StyleBasem Ertimi; Tamat Sarmidi; Norlin Khalid; Mohd Helmi Ali. 2021. "The Policy Framework of Natural Resource Management in Oil-Dependence Countries." Economies , no. : 1.
This study proposes a data-driven analysis that describes the overall situation and reveals the factors hindering improvement in the sustainable supply chain management field. The literature has presented a summary of the evolution of sustainable supply chain management across attributes. Prior studies have evaluated different parts of the supply chain as independent entities. An integrated systematic assessment is absent in the extant literature and makes it necessary to identify potential opportunities for research direction. A hybrid of data-driven analysis, the fuzzy Delphi method, the entropy weight method and fuzzy decision-making trial and evaluation laboratory is adopted to address uncertainty and complexity. This study contributes to locating the boundary of fundamental knowledge to advance future research and support practical execution. Valuable direction is provided by reviewing the existing literature to identify the critical indicators that need further examination. The results show that big data, closed-loop supply chains, industry 4.0, policy, remanufacturing, and supply chain network design are the most important indicators of future trends and disputes. The challenges and gaps among different geographical regions is offered that provides both a local viewpoint and a state-of-the-art advanced sustainable supply chain management assessment.
Feng Ming Tsai; Tat-Dat Bui; Ming-Lang Tseng; Mohd Helmi Ali; Ming K. Lim; Anthony Sf Chiu. Sustainable supply chain management trends in world regions: A data-driven analysis. Resources, Conservation and Recycling 2021, 167, 105421 .
AMA StyleFeng Ming Tsai, Tat-Dat Bui, Ming-Lang Tseng, Mohd Helmi Ali, Ming K. Lim, Anthony Sf Chiu. Sustainable supply chain management trends in world regions: A data-driven analysis. Resources, Conservation and Recycling. 2021; 167 ():105421.
Chicago/Turabian StyleFeng Ming Tsai; Tat-Dat Bui; Ming-Lang Tseng; Mohd Helmi Ali; Ming K. Lim; Anthony Sf Chiu. 2021. "Sustainable supply chain management trends in world regions: A data-driven analysis." Resources, Conservation and Recycling 167, no. : 105421.
Prior studies have failed to account for the effect of product quality on the sustainability of supply chain networks. To address this gap, this study develops a Taguchi capability index that considers the economic, environmental, and social losses incurred due to poor product quality that leads to process losses. These product quality measures give a foundation for the operationalization of the circular economy concept, which is now receiving a growing level of attention from both firms and governments throughout the world. Sustainable supply chain management models that integrate upstream and downstream operations are increasing in popularity due to globalized competition, where the quality of components from each supplier affects the quality of the final product. One practical challenge is that many quality characteristics possess asymmetric tolerances. This study develops a comprehensive supplier selection model based on process quality, using a Taguchi capability index with asymmetric tolerances as an instrument for data driven supplier selection. Mathematical programming is used to obtain the confidence intervals of the indices to construct fuzzy membership functions. A fuzzy hypothesis testing method is then used to select suppliers taking into account uncertainty associated with measurement data. A case study illustrates the effectiveness of the methodology to assist firms in selecting the suppliers, and thus improve the sustainability of supply chain networks as a circular economy enabler.
Chin-Hsin Wang; Mohd Helmi Ali; Kuen-Suan Chen; Yeneneh Tamirat Negash; Ming-Lang Tseng; Raymond R. Tan. Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances. Advanced Engineering Informatics 2021, 47, 101249 .
AMA StyleChin-Hsin Wang, Mohd Helmi Ali, Kuen-Suan Chen, Yeneneh Tamirat Negash, Ming-Lang Tseng, Raymond R. Tan. Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances. Advanced Engineering Informatics. 2021; 47 ():101249.
Chicago/Turabian StyleChin-Hsin Wang; Mohd Helmi Ali; Kuen-Suan Chen; Yeneneh Tamirat Negash; Ming-Lang Tseng; Raymond R. Tan. 2021. "Data driven supplier selection as a circular economy enabler: A Taguchi capability index for manufactured products with asymmetric tolerances." Advanced Engineering Informatics 47, no. : 101249.
The ability of small- and medium-sized enterprises in the food industry (FSMEs) in cultivating resilience against the COVID-19 pandemic is vital food security. However, there is limited supply chain resilience literature to guide FSMEs in overcoming disruptions caused by pandemic. This review aims to provide a broad view of SCRes reactive strategies for FSMEs in dealing with crises in the context of COVID-19. Attention is given to the literature on resilience in other types of supply chain and situated in the context of food settings. The factors are monitored or controlled to contribute to FSME resiliency. Key findings and conclusion: Four quadrants, i.e., (1) rapid with low cost, (2) rapid with high cost, (3) slow with low cost and (4) slow with high cost, are offered based on the limitations and the time needed to react, and the strategies of each quadrant are explained in depth. This review also provides a better understanding of and guidance on reactive strategies for SCRes as options for FSMEs in dealing with the COVID-19 pandemic. This review suggests future directions as extensions based on the logical flow of this review.
Mohd Helmi Ali; Norhidayah Suleiman; Norlin Khalid; Kim Hua Tan; Ming-Lang Tseng; Mukesh Kumar. Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis. Trends in Food Science & Technology 2021, 109, 94 -102.
AMA StyleMohd Helmi Ali, Norhidayah Suleiman, Norlin Khalid, Kim Hua Tan, Ming-Lang Tseng, Mukesh Kumar. Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis. Trends in Food Science & Technology. 2021; 109 ():94-102.
Chicago/Turabian StyleMohd Helmi Ali; Norhidayah Suleiman; Norlin Khalid; Kim Hua Tan; Ming-Lang Tseng; Mukesh Kumar. 2021. "Supply chain resilience reactive strategies for food SMEs in coping to COVID-19 crisis." Trends in Food Science & Technology 109, no. : 94-102.
The revolution in the digital economy is forcing the retail pharmacy industry to develop new business models to achieve operational excellence. A large amount of user-generated content on social media can be captured and analysed to help organisations gain insights into market requirements and enhance business intelligence. Accordingly, this study proposes an analytic framework for retail pharmacy organisations to: a) use social media and highlight the most-discussed topics by consumers, b) to identify the key areas for improvement based on the most negative comments received, and c) to determine the connections amongst the important concepts and enhance customer loyalty by adding values to consumers. We conduct an in-depth analysis on the Twitter platforms of the three largest retail pharmacy organisations in the UK: Boots, Lloyds and Superdrug. The findings show that issues with marketing, customer service and product are the key improvement areas for the retail pharmacies. Particularly, Boots received an overall better sentiment performance than Lloyds and Superdrug. We also determine the relationships amongst the important concepts discussed by consumers. The analysis generates insights into the use of social media for supporting pharmacy organisations in developing their social media strategies as well as improving their operations and service quality.
Yuanzhu Zhan; Runyue Han; Mike Tse; Mohd Helmi Ali; Jiayao Hu. A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry. Technological Forecasting and Social Change 2020, 163, 120504 .
AMA StyleYuanzhu Zhan, Runyue Han, Mike Tse, Mohd Helmi Ali, Jiayao Hu. A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry. Technological Forecasting and Social Change. 2020; 163 ():120504.
Chicago/Turabian StyleYuanzhu Zhan; Runyue Han; Mike Tse; Mohd Helmi Ali; Jiayao Hu. 2020. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry." Technological Forecasting and Social Change 163, no. : 120504.
Maintaining product quality and environmental performance are emerging concerns in modern competitive and transparent businesses. Many retailers separate perfect products from imperfect ones to ensure product quality and endeavor to achieve carbon dioxide (CO2) reduction through green technology investments and sustainable inventory planning. Product deterioration often badly hampers the retailing business; hence, suitable preservation technologies are used. In this study, we examined the optimization model of the selling price, investment, and replenishment planning to maximize the total profit. The proposed model considered the effect of a greater deterioration rate and discount price of imperfect products. Due to the high uncertainty in demand, a realistic holding cost was deliberated with a variable and constant part. Every time the retailer transports purchased items, greenhouse gases (GHGs), including CO2, are produced. Government regulations on CO2 minimization and customer awareness for greener products stimulate retailers to invest in energy-efficient green technology. This study simultaneously showed a harmonious relationship among the attributes of preservation technology, green technology investment, and discounts on defective items. Theoretical derivations were performed with numerical analysis.
Abu Hashan Md Mashud; Dipa Roy; Yosef Daryanto; Mohd Helmi Ali. A Sustainable Inventory Model with Imperfect Products, Deterioration, and Controllable Emissions. Mathematics 2020, 8, 2049 .
AMA StyleAbu Hashan Md Mashud, Dipa Roy, Yosef Daryanto, Mohd Helmi Ali. A Sustainable Inventory Model with Imperfect Products, Deterioration, and Controllable Emissions. Mathematics. 2020; 8 (11):2049.
Chicago/Turabian StyleAbu Hashan Md Mashud; Dipa Roy; Yosef Daryanto; Mohd Helmi Ali. 2020. "A Sustainable Inventory Model with Imperfect Products, Deterioration, and Controllable Emissions." Mathematics 8, no. 11: 2049.
Sustainable corporate finance is an attractive field of study in sustainability literature; however, the literature lacks systematic bibliometric analysis that provides a comprehensive review to clarify state-of-the-art sustainable corporate finance and that discusses new opportunities and potential instructions for further studies. To address this gap, this study adopts a literature review, bibliometric analysis, network analysis and co-wording technique to systematically investigate the Scopus database. In total, 30 keywords listed at least three times are used and are divided into six clusters considering six fields of research, namely, corporate finance in corporate sustainability, sustainable competitive advantages, sustainable stakeholder engagement, circular economy, sustainable corporate finance innovation and risk management and sustainable supply chain ethics. This study contributes to examining the sustainable corporate finance bibliometric status to provide directions for future studies and practical accomplishment. The sustainable corporate finance knowledge gaps are (1) corporate finance in sustainability; (2) sustainable competitive advantages; (3) sustainable stakeholder engagement; (4) circular economy; (5) sustainable corporate finance innovation and risk management; and (6) sustainable supply chain ethics. The knowledge gaps and future directions are also discussed.
Tat Dat Bui; Mohd Helmi Ali; Feng Ming Tsai; Mohammad Iranmanesh; Ming-Lang Tseng; Ming K Lim. Challenges and Trends in Sustainable Corporate Finance: A Bibliometric Systematic Review. Journal of Risk and Financial Management 2020, 13, 264 .
AMA StyleTat Dat Bui, Mohd Helmi Ali, Feng Ming Tsai, Mohammad Iranmanesh, Ming-Lang Tseng, Ming K Lim. Challenges and Trends in Sustainable Corporate Finance: A Bibliometric Systematic Review. Journal of Risk and Financial Management. 2020; 13 (11):264.
Chicago/Turabian StyleTat Dat Bui; Mohd Helmi Ali; Feng Ming Tsai; Mohammad Iranmanesh; Ming-Lang Tseng; Ming K Lim. 2020. "Challenges and Trends in Sustainable Corporate Finance: A Bibliometric Systematic Review." Journal of Risk and Financial Management 13, no. 11: 264.
Wind power is fluctuant and intermittent, which has an impact on the power grid. Large-scale wind power is a serious threat to the stability and security of the power system. Accurate prediction of wind power output is significant to the safety of the power system. This study proposes a hybrid improved cuckoo search arithmetic (HICS) to optimize the hyper-parameters of support vector regression machine (SVR), which is used to predict short-term wind power output (HICS-SVR). This study uses chaotic sequences to promote the initial population. This study introduces dynamic decreasing step factor, dynamic discovery probability, dynamic inertia weight preference random walk and particle swarm arithmetic communication strategy to improve the arithmetic effect. The model has been verified with the French wind farm data set, and wind energy data has been randomly selected to form the training set and the test set of the algorithm. The regression fitting degree of the HICS-SVR is obtained under the condition of 100 iterations, with an average of 0.87 and an optimal value of 0.98. The average absolute value of the relative percentage error average is up to 7.71% and the best value is 7.12%. The HICS-SVR improves prediction precision and stability of output results, effectively.
Ling-Ling Li; Ze-Yao Cen; Ming-Lang Tseng; Qiang Shen; Mohd Helmi Ali. Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine. Journal of Cleaner Production 2020, 279, 123739 .
AMA StyleLing-Ling Li, Ze-Yao Cen, Ming-Lang Tseng, Qiang Shen, Mohd Helmi Ali. Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine. Journal of Cleaner Production. 2020; 279 ():123739.
Chicago/Turabian StyleLing-Ling Li; Ze-Yao Cen; Ming-Lang Tseng; Qiang Shen; Mohd Helmi Ali. 2020. "Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine." Journal of Cleaner Production 279, no. : 123739.
This study contributes to identifying valid barriers and proposes a model to understand the challenges to Industry 4.0 in circular economy to obtain social, economic and environmental benefits in practice. Industry 4.0 and circular economy have a mutual effect in practice. Hence, this study aims to investigate how to impede the challenges of Industry 4.0 in circular economy in the context of the palm oil industry. Thirty significant challenge factors in Industry 4.0 in circular economy are collected, and the fuzzy Delphi Method is applied to address the qualitative information and translate the linguistic preferences. Interpretive structural modelling is to compose and interpretive the interrelationships in the impeding change on industry 4.0 in circular economy in practical model. The main findings are the identification of 18 essential challenges in Industry 4.0 in circular economy. The most important challenges are lack of automation system virtualization, unclear economic benefit of digital investment, lack of process design, unstable connectivity among firms and employment disruptions. This study contributes to unveiling what challenges Industry 4.0 in circular economy faces and how to address those challenges as a basis for operational decision-making. The limitations and future research directions are discussed.
Asma-Qamaliah Abdul-Hamid; Mohd Helmi Ali; Ming-Lang Tseng; Shulin Lan; Mukesh Kumar. Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia. Computers & Operations Research 2020, 123, 105052 .
AMA StyleAsma-Qamaliah Abdul-Hamid, Mohd Helmi Ali, Ming-Lang Tseng, Shulin Lan, Mukesh Kumar. Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia. Computers & Operations Research. 2020; 123 ():105052.
Chicago/Turabian StyleAsma-Qamaliah Abdul-Hamid; Mohd Helmi Ali; Ming-Lang Tseng; Shulin Lan; Mukesh Kumar. 2020. "Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia." Computers & Operations Research 123, no. : 105052.
This study aims to identify the role of aggregated heating, ventilation, and air conditioning (HVAC) loads based on system characteristics using the lazy state switching control mode focusing on the overall power consumption rather individual response speed. This study is attempted to provide secondary frequency regulation using aggregated HVAC loads with more stable operation with the lazy state switching control mode based on conditional switching of the HVAC unit’s working state. The stability of power consumption improves power quality in smart grid design and operation. The aggregated HVAC must reach a stable condition before tracking the automatic generation control signal and fully developed smart grids complex structure. Still, HVAC slowed responses make inappropriate for faster demand response services. Unsuitable control algorithm leads to system instability and HVAC unit overuse. An extended command processing on the client side is proposed to deal with the adjusting command. The unique advantages of the proposed algorithm are three folds. (1) the control algorithm preserves its working state and has nothing conflicting with the lockout constraints for individual system units; (2) the control algorithm shows promising performance in smoothing the overall power consumption for the aggregated population; and (3) the control logic is fully compatible with other control algorithms. The proposed modeling and control strategy are validated against simulations of thousands of units, and the simulation result indicates that the proposed approach has promising performance in smoothing the power consumption of aggregate units’ population.
Xu-Dong Chen; Lingling Li; Ming-Lang Tseng; Kimhua Tan; Mohd Helmi Ali. Improving power quality efficient in demand response: Aggregated heating, ventilation and air-conditioning systems. Journal of Cleaner Production 2020, 267, 122178 .
AMA StyleXu-Dong Chen, Lingling Li, Ming-Lang Tseng, Kimhua Tan, Mohd Helmi Ali. Improving power quality efficient in demand response: Aggregated heating, ventilation and air-conditioning systems. Journal of Cleaner Production. 2020; 267 ():122178.
Chicago/Turabian StyleXu-Dong Chen; Lingling Li; Ming-Lang Tseng; Kimhua Tan; Mohd Helmi Ali. 2020. "Improving power quality efficient in demand response: Aggregated heating, ventilation and air-conditioning systems." Journal of Cleaner Production 267, no. : 122178.
This study contributes to (1) discovering that carbon dioxide (CO2) emissions are not directly influenced by modernisation; (2) attaining sustainable agriculture by incorporating renewable energy into the agriculture sector as an effective CO2 emissions mitigation measure; and (3) applying the environmental Kuznets curve (EKC) to test the relationships among attributes in Malaysia. Prior studies have not addressed the associations between the release of CO2 and economic development, renewable energy, urbanisation, and agriculture in Malaysia. Hence, the objective of the study is to investigate the relationships of the emissions of CO2 and economic development, renewable energy, urbanisation, and agricultural subsectors, such as crops, livestock, and fisheries, in Malaysia for the period 1978 to 2016. By the utilisation of the autoregressive distributed lag test for cointegration, CO2 emissions significantly increased due to economic growth and urbanisation but insignificantly increased due to livestock in the long term. Crops, fisheries, and renewable energy significantly reduced emissions in this period. Moreover, this study reveals that the association between emissions of CO2 and economic development is an inverted U. This finding indicates that CO2 emissions eventually decrease despite the increase in CO2 emissions and economic development in the long term upon reaching a specific level of growth. These findings are consistent for Malaysia in terms of the EKC hypothesis.
Nur Hilfa Awatif Mohamad Ridzuan; Nur Fakhzan Marwan; Norlin Khalid; Mohd Helmi Ali; Ming-Lang Tseng. Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve. Resources, Conservation and Recycling 2020, 160, 104879 .
AMA StyleNur Hilfa Awatif Mohamad Ridzuan, Nur Fakhzan Marwan, Norlin Khalid, Mohd Helmi Ali, Ming-Lang Tseng. Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve. Resources, Conservation and Recycling. 2020; 160 ():104879.
Chicago/Turabian StyleNur Hilfa Awatif Mohamad Ridzuan; Nur Fakhzan Marwan; Norlin Khalid; Mohd Helmi Ali; Ming-Lang Tseng. 2020. "Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve." Resources, Conservation and Recycling 160, no. : 104879.