Enterprises across the globe are facing increasing pressure to effectively utilize resources and reduce costs through green supply chain practices. Emerging technology, such as blockchain technology which enables green practices, has become a contemporary industrial paradigm. However, enterprises need to build green intellectual capital to implement blockchain technology, which can be key to realizing green supply chain practices. This research examines the impact of green intellectual capital (GIC) on blockchain technology and its role in implementing green manufacturing to achieve sustainability. Partial least squares structural equation modeling was utilized for assessing the proposed hypotheses, and cross-sectional data was accumulated from manufacturing firms. As per the results, GIC, which includes green human capital, green structural capital, and green relational capital has a crucial role in the implementation of blockchain technology. The outcomes also indicated that the adoption of blockchain technology significantly influences green manufacturing. Moreover, green manufacturing (GM) has a substantial role in improving business sustainability. This empirical research provides a deeper understanding of how GIC and blockchain technology contribute to the implementation of GM. This research also provides guidelines that managers, policymakers, and producers can use to facilitate the incorporation of GM practice into business activities.
Enhancing green innovation for business sustainability represents a pressing global challenge. In the context of the manufacturing industry, the relationship between proactive green innovation (PGI) and structural social capital (SSC) remains a profoundly under-researched area. Drawing upon the theories of social capital and dynamic capability (DC), this study investigated the relationship between SSC and PGI within manufacturing enterprises via three individual and sequential mediating factors, namely cognitive social capital (CSC), relational social capital (RSC), and DC. Adopting a cross-sectional quantitative design, this study collected survey data from 485 manufacturing sector employees in China using purposive sampling. Structural equation modeling analysis of the data revealed no significant direct impact of SSC on PGI, but a strong indirect impact through the sequential mediating influences of CSC, RSC, and DC. The findings suggests that PGI within manufacturing enterprises is not wholly shaped by SSC; rather, firm-level dynamic capabilities, characterized by a sequential mechanism, plays a crucial role in achieving PGI within these enterprises. This paper offers both theoretical and practical contributions and provides recommendations for future research based on its limitations.
Investment to reduce flood risk for social and economic wellbeing requires quantitative evidence to guide decisions. Direct and indirect flood damages at individual household and business building levels were assessed in this study using multivariate analysis with three groups of flood damage attributes, i.e., flood characteristics, socioeconomic conditions, and building types. A total of 172 and 45 respondents from residential and commercial buildings were gathered through door-to-door interviews at areas in Peninsular Malaysia that were pre-identified to have frequently flooded. Two main findings can be drawn from this study. First, flood damage is greatly contributed by high-income households and businesses, despite them being less exposed to floods than low-income earners. This supports the current use of mean economic damage in engineering-based flood intervention analysis. Second, indirect damages increase with the increase in family size, indicating the importance of strengthening preparedness and social support to those with great social responsibility. Overall, the study highlights the importance of holistic flood management accounting for both direct and indirect losses.
Using a sample of adolescents from schools in Otago, New Zealand, associations between food outlets around schools and dietary quality were investigated. Food outlet environment data were derived using GIS data. Multivariate regression analysis results showed that outlet density, in an 800m buffer around schools, of cafes and restaurants, supermarkets and takeaways was associated with higher Diet Quality Index scores in boys, and distance to nearest outlet for convenience stores, cafes and restaurants and supermarkets with lower scores for girls. Effect sizes were small, suggesting that the food environment around schools plays a minor role in adolescent diet quality.
This study evaluates the impact of public export promotion programs (EPPs) among small and medium-sized enterprises (SMEs) in Malaysia. Three indicators, level of awareness, frequency of use, and perception of usefulness, were examined according to a firm's export status. The global evaluation suggests that exporters are more frequent users of EPPs and perceive them to be more useful than non-exporters. Nonetheless, both groups demonstrate higher levels of awareness, are frequent users, and perceive the programs relating to export info/knowledge are more usefulness than programs relating to financial assistance. Further analysis also reveals that the frequency of use and the perception of usefulness for most programs are positively related to export experience, but not to export turnover. This study offers insights into the effectiveness of export programs for encouraging export initiation and expansion in an emerging economy.
Among the issues of medical exchanges, medicaments are more often encountered than medical issues, based on ancient Chinese literatures, early in the Han-Jin Dynasties, Thailand, Malaysia, Indonesia, and Brunei had exchanges with China, also in Sui-Tang Dynasties. In the Song-Yuan Dynasties, ancient Singapore and the Philippines also incorporated in exchanges of medicament and goods. In the Ming-Qing dynasties, these 6 Asian countries had even more close contact with China, especially in trades and medical exchanges among the masses, carried out in a large scale thus, promoting the advent and development of TCM in Asiana Regions.
Stock market, is one of the most important financial market which has a close relationship with a country's economy, due to which it is often called the barometer of the economy. Over the past 25 years, the stock markets have been affected by different global economic shocks. Various researchers have analyzed different aspects of these effects one by one, however, this study is an assessment of stock market interrelationship of emeriging Asian economies which include most of the East Asian, and Southeast Asian emerging economies with special focus on China for past decades during which different crisis occurred. We used Morgan Stanley capital international (MSCI) daily indices data for each stock market and compared Chinese stock market with the stock markets of India, Pakistan, Malaysia, Singapore, and Indonesia. We analyzed the data through the individual wavelet power spectrum, cross-wavelet transform and wavelet coherence, to determine the correlation and volatility among the selected stock markets. These model have the power to analyze co-movements among these countries with respect to both frequency and time spaces. Our findings show that there are co-movement patterns of higher frequencies during the crises periods of 1997, 2008 and 2015. The dependency strength among the considered economies is noted to increase in the crisis periods, which implies increased short- and long-term benefits for the investors. From a financial point of view, it has been determined that the co-movement strength among the emerging economies of Asia may have an effect on the VaR (Value at Risk) levels of a multi-country portfolio. Furthermore, the stock market of China shows a high correlation with the other six Asian stock emerging markets in both high and low-frequency spectrums. The association of the south and east Asian stock market with Chinese stock markets show the interconnection of these economies with the economy of China since past two decades. These findings are useful for investors, portfolio managers and the policymaker around the globe.
Recently. recommender systems have become a very crucial application in the online market and e-commerce as users are often astounded by choices and preferences and they need help finding what the best they are looking for. Recommender systems have proven to overcome information overload issues in the retrieval of information, but still suffer from persistent problems related to cold-start and data sparsity. On the flip side, sentiment analysis technique has been known in translating text and expressing user preferences. It is often used to help online businesses to observe customers' feedbacks on their products as well as try to understand customer needs and preferences. However, the current solution for embedding traditional sentiment analysis in recommender solutions seems to have limitations when involving multiple domains. Therefore, an issue called domain sensitivity should be addressed. In this paper, a sentiment-based model with contextual information for recommender system was proposed. A novel solution for domain sensitivity was proposed by applying a contextual information sentiment-based model for recommender systems. In evaluating the contributions of contextual information in sentiment-based recommendations, experiments were divided into standard rating model, standard sentiment model and contextual information model. Results showed that the proposed contextual information sentiment-based model illustrates better performance as compared to the traditional collaborative filtering approach.
Four formal rounds of Trans-Pacific Partnership Agreement (TPPA) negotiations took place in 2010. They involved over 200 officials from Australia, the United States, New Zealand, Chile, Singapore, Brunei, Peru, Vietnam and Malaysia. Future negotiations officially are set to include three issues with public health and medicines policy implications for Australia and our region: ways to approach regulatory coherence and transparency; how to benefit multinational and small-medium enterprises; and multilateral investor-state dispute settlement. US-based multinational pharmaceutical companies are lobbying for TPPA provisions like those in the Australia-US Free Trade Agreement, which reduce government cost-effectiveness regulatory control of pharmaceuticals, threatening equitable access to medicines. They also advocate increased TPPA intellectual monopoly privilege protection, which will further limit the development of Australian generic medicine enterprises and restrict patient access to cheap, bioequivalent prescription drugs. Of particular concern is that proposed TPPA multilateral investor-state dispute settlement procedures would allow US corporations (as well as those of other TPPA nations) to obtain damages against Australian governments through international arbitral proceedings if their investments are impeded by Australian public health and environment protection legislation.
Understanding the core competencies of English for Specific Purposes (ESP) students is vital for designing ESP curricula and refining methodologies. This study sought to comprehensively assess the core competencies of Business English students in Chinese higher vocational colleges (HVCs). A questionnaire survey was conducted among 394 Business English students from five HVCs. The survey evaluated core competencies across gender and academic grades using a model comprisinging four primary dimensions and twelve sub-modules. The results revealed significant disparities in core competency development among Business English students, particularly across gender and academic grades within the specified competence indicator dimensions. These findings highlight the need to enhance in the core competencies of these students, indicating current deficienciess in their development. The identified disparities and areas for improvement in core competencies provide valuable insights for educators and institutions to customize teaching methodologies and improve curriculum design, better addressing the needs of Business English students in HVCs.
The World Trade Organization's Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) set global minimum standards for the protection of intellectual property, substantially increasing and expanding intellectual-property rights, and generated clear gains for the pharmaceutical industry and the developed world. The question of whether TRIPS generates gains for developing countries, in the form of increased exports, is addressed in this paper through consideration of the importance of pharmaceuticals in health-care trade, outlining the essential requirements, implications, and issues related to TRIPS, and TRIPS-plus, in which increased restrictions are imposed as part of bilateral free-trade agreements. TRIPS has not generated substantial gains for developing countries, but has further increased pharmaceutical trade in developed countries. The unequal trade between developed and developing countries (ie, exporting and importing high-value patented drugs, respectively) raises the issue of access to medicines, which is exacerbated by TRIPS-plus provisions, although many countries have not even enacted provision for TRIPS flexibilities. Therefore this paper focuses on options that are available to the health community for negotiation to their advantage under TRIPS, and within the presence of TRIPS-plus.
This paper describes the Malaysian car owners’ preference to purchase their car through car lease swap arrangement. Since owning a car nowadays is a necessity for most individuals, people will try to find the easiest and fastest way to own a car. Hence, the aim of this paper is to describe the issues of car lease swap businesses conducted in Malaysia, in particular to understand the reasons, business mechanism, and benefits of buying a car via this method. Due to limited empirical studies on car lease swap arrangement in Malaysia, the research adopted a qualitative approach, which utilises the snowball method to identify its participants. Interviews were conducted with relevant parties, who were directly involved in car lease swap business, which include the car lease dealers, the car owners and third parties (buyers). The findings indicate that the car lease dealers were the most to gain out of this business, meanwhile the car owners were worse off. Compared to the third parties, the car owners benefited from the convenient arrangement of the business. Nevertheless, due to its vague legality, it is possible to have negative implications on all parties involved. As such, future research should look at all parties involved in investigating the issues of this car lease swap business, such as relevant government agencies and all other stakeholders.
This study investigated restaurant customers' perceived importance of key factors in accordance with dining occasions and restaurant segments. Our investigation into restaurant selection and situational factors present two types of empirical evidence regarding customers' choice of restaurant. First, menu price was customers' top priority in restaurant selections for full-service, quick-casual, and quick-service restaurants. Second, restaurant customers rated the importance level of restaurant selection criteria differently according to eating-out occasions. The importance of menu price was greatest for both quick meal/convenience and social occasion, brand reputation was the most important factor for business necessity, and word-of-mouth recommendation was greatest for celebration.
The polymer solar cells also known as organic solar cells (OSCs) have drawn attention due to their cynosure in industrial manufacturing because of their promising properties such as low weight, highly flexible, and low-cost production. However, low η restricts the utilization of OSCs for potential applications such as low-cost energy harvesting devices. In this paper, OSCs structure based on a triple-junction tandem scheme is reported with three different absorber materials to enhance the absorption of photons which in turn improves the η, as well as its correlating performance parameters. The investigated structure gives the higher value of η = 14.33% with Jsc = 16.87 (mA/m2), Voc = 1.0 (V), and FF = 84.97% by utilizing a stack of three different absorber layers with different band energies. The proposed structure was tested under 1.5 (AM) with 1 sun (W/m2). The impact of the top, middle, and bottom subcells' thickness on η was analyzed with a terse to find the optimum thickness for three subcells to extract high η. The optimized structure was then tested with different electrode combinations, and the highest η was recorded with FTO/Ag. Moreover, the effect of upsurge temperature was also demonstrated on the investigated schematic, and it was observed that the upsurge temperature affects the photovoltaic (PV) parameters of the optimized cell and η decreases from 14.33% to 11.40% when the temperature of the device rises from 300 to 400 K.
The exposure of food to ionizing radiation is being progressively used in many countries to
inactivate food pathogens, to eradicate pests and to extend shelf-life of food. To ensure free
consumer choice, irradiated food will be labeled. The availability of a reliable method to detect
irradiated food is important to enforce legal controls on labeling requirements, ensure proper
distribution and increase consumer confidence. This paper reports on the preliminary application
of photostimulated luminescence technique (PSL) as a potential method to detect irradiated food
and perhaps be used for monitoring irradiated food on sale locally in the near future. Thus this
study will be beneficial and relevant for application of food irradiation towards improving food
safety and security in Malaysia.
Even though EDXRF analysis has major advantages in the analysis of stainless steel samples such as simultaneous determination of the minor elements, analysis can be done without sample preparation and non-destructive analysis, the matrix issue arised from the inter element interaction can make the the final quantitative result to be in accurate. The paper relates a comparative quantitative analysis using standard and standardless methods in the determination of these elements. Standard method was done by plotting regression calibration graphs of the interested elements using BCS certified stainless steel standards. Different calibration plots were developed based on the available certified standards and these stainless steel grades include low alloy steel, austentic, ferritic and high speed. The standardless method on the other hand uses a mathematical modelling with matrix effect correction derived from Lucas-Tooth and Price model. Further
improvement on the accuracy of the standardless method was done by inclusion of pure elements into the development of the model. Discrepancy tests were then carried out for these quantitative methods on different certified samples and the results show that the high speed method is most reliable for determining of Ni and the standardless method for Mn.