In recent years, academics have paid more attention to green finance, and public companies have reached a broad consensus on the concept of timely environmental, social, and governance (ESG) disclosure. Due to the close relationship between green finance and ESG, this presents an opportunity to determine whether green finance compels companies to actively disclose ESG. The sample for this study consists of China's non-financial A-share listed companies from 2010 to 2021, and the empirical findings demonstrate that green finance can positively influence the ESG performance of listed companies. Through an analysis of heterogeneity, this study reaches the following conclusions: state-owned enterprises, heavy pollution companies, and companies in low-carbon pilot cities perform better in terms of green finance's role in promoting ESG scoring. This study also introduces market concentration and social trust as the moderating variables, enriching the green finance research framework. Through the analysis of moderating variables, the 'black box' effect of green finance on ESG is disclosed, providing theoretical support for the government and companies to better comprehend the policy effect as well as a reference for reform and experimental promotion of green finance.
Pharmaceutical excipients are no longer inert materials but it is effective and able to improve the characteristics of the products' quality, stability, functionality, safety, solubility and acceptance of patients. It can interact with the active ingredients and alter the medicament characteristics. The globalization of medicines' supply enhances the importance of globalized good manufacturing practice (GMP) requirements for pharmaceutical excipients. This review was intended to assess the globalization status of good manufacturing practice (GMP) requirements for pharmaceutical excipients. The review outcomes demonstrate that there is a lack of accurately defined methods to evaluate and measure excipients' safety. Furthermore good manufacturing practice requirements for excipients are not effectively globalized.
Digital signage is widely utilized in digital-out-of-home (DOOH) advertising for marketing and business. Recently, the combination of the digital camera and digital signage enables the advertiser to gather the audience demographic for audience measurement. Audience measurement is useful for the advertiser to understand the audience's behavior and improve their business strategies. When an audience is facing the digital display, the vision-based DOOH system will process the audience's face and broadcast a personalized advertisement. Most of the digital signage is available in an uncontrolled environment of public areas. Thus, it poses two main challenges for the vision-based DOOH system to track the audience's movement, which are multiple adjacent faces and occlusion by passer-by. In this paper, a new framework is proposed to combine the digital signage with a depth camera for tracking multi-face in the three-dimensional (3D) environment. The proposed framework extracts the audience's face centroid position (x, y) and depth information (z) and plots into the aerial map to simulate the audience's movement that is corresponding to the real-world environment. The advertiser can further measure the advertising effectiveness through the audience's behavior.
Students need the used of reference materials because they want to save their money for daily expenses. It is also as their side income if they become as a seller. However, the available buying and selling process using Whatsapp as a medium seen inefficient because the user was faced with several problems. Among the problems were incomplete advertisements information, sale status cannot be updated automatically and the process of buying and selling takes too long. Therefore, the construction of the BOOKU webpage is recommended to solve the problems. There was a several methods used in problem selection phase such as brain storming, preliminary study of problems, verification and validation as well as T-shape Matrix. Ishikawa diagram has been used to identify the cause and effect of the problem in terms of material, process, human and environmental factors. A review from user also was carried out to obtain an endorsement of the problem in hand. Then the SWOT analysis method was used to assess the suggestion solution. After the completion construction of BOOKU webpage, a few trials were carried out to ensure the BOOKU webpage functioned properly. Again, a review from the user was carried out based on the trials results. The result showed majority of users was agreed on the BOOKU webpage as a good solution for identified problems. The BOOKU webpage can provide a completed advertisement, automatically updated the sale status and the buying and selling process has been shorten from seven days to one day. For the spin-off project, the BOOKU website is planned to be devoted to the borrowing service for used of reference materials. Meanwhile for the purpose of replicating, the BOOKU webpage can be adapted in the school level. In conclusion, the BOOKU webpage can increase the quality of available process. It also can optimize the use of manpower and time.
Preventive maintenance (PM) planning becomes a crucial issue in the real world of the manufacturing process. It is important in the manufacturing industry to maintain the optimum level of production and minimize its investments. Thus, this paper focuses on multiple jobs with a single production line by considering stochastic machine breakdown time. The aim of this paper is to propose a good integration of production and PM schedule that will minimize total completion time. In this study, a hybrid method, which is a genetic algorithm (GA), is used with the Monte Carlo simulation (MCS) technique to deal with the uncertain behavior of machine breakdown time. A deterministic model is adopted and tested under different levels of complexity. Its performance is evaluated based on the value of average completion time. The result clearly shows that the proposed integrated production with PM schedule can reduce the average completion time by 11.68% compared to the production scheduling with machine breakdown time.
The number of small and medium-sized accommodations (SMSAs) has increased in Malaysia in tandem with the growth of the tourism industry worldwide. The states involved in this study were Terengganu, Kelantan and Pahang. The SMSAs in these states are rated using Orchid rating, namely 1-Orchid, 2-Orchid and 3-Orchid, generated by the Ministry of Tourism, Arts and Culture Malaysia (MOTAC). This study applied the Resource-based View (RBV) theory to investigate four factors (marketing management, human resourcesmanagement, innovation capability management and information technology) assumed to be competitive capabilities that may influence accommodation’s performance. The objective of the study is to examine whether the four factors influence the performance of Orchid-rated accommodations located in the East Coast of West Malaysia. The results revealed that the four factors do not have any relationship with the accommodation’s performance. The analysis also singled out one argument of the director of SMSA that competitive capabilities are not important to their business. This argument coincides with the results of the analysis that the four factors are not significant with regards to the accommodations’ performance.
The present data from 194 customers of small and medium enterprises (SMEs) is about their acceptance of Islamic microfinance in Kano State, Nigeria. The dataset includes variables such as gender, age, marital status, duration as customer, account operate, annual income, type of business, service quality, perceived value, corporate image and religiosity of customers in Kano State. A survey from March to June 2019, self-administered questionnaires were used for data collection. This data may help scholars to understand how people of Kano State accept Islamic microfinance interacted with service quality, customer perceived value, corporate image and religiosity.
Agents are the most important marketing tools for company to become a successful in business. Agents not only operate as a channel to customers, but they also play an important role in providing customers with a variety of services before and after the sales. The main purpose of this study is to identify the factor influencing agent’s sales at an Apparel Manufacturing company. There are three categories of agents at the company namely, Trial agent, Basic agent and Premium agent. Based on the sales records in May 2018, the sales of product obtained by Trial Agent is lower than Basic and Premium Agents in this company. Therefore, this study aims to determine difference mean on record sales by agent among three categories of agents. This study also investigates the relationship between sales records by agents and years of experienced in business. Data was collected using questionnaire from 46 active agents at the company. Data was analyzed using One-way Analysis of Variance (ANOVA), Pearson correlation coefficient and Multiple Linear Regression. Result showed that there is a statistically significant difference in the mean sales records among the three of agent’s categories. Furthermore, there is a strong positive correlation between sales records by agent and years of experienced in business. Meanwhile, factors of knowledge and skills in business are most contributed to the agent’s sales. This study can help the company to create a strategic business plan and conducting several workshop trainings for agents to increase their knowledge and skills in business.
Kathiravan, Yamunah, Mohd Fahmi Mohamad Amran, Noor Afiza Mat Razali, Mohd Afizi Mohd Shukran, Norshahriah Abdul Wahab, Mohammad Adib Khairuddin, et al.
Privacy has always been a constant concern for many people. Internet users are often worried about the browsing information that is left on their storage media. Web browsers were later introduced with a new feature called private browsing to overcome this issue. The private browsing mode is expected to behave as normal browsing session but without storing any data such as browser cookies, history, cache and passwords on the local machine. Unfortunately, previous researchers concluded web browser often failed to provide the intended privacy protection to their user. Along the way of this reviewing process, the weakness and downside of previous web browser vendors have been identified.
Bakery products become a regular food in most part of the world and are essential commodities today. There is a high potential for business growth in selling bakery products. In the business world, Small-Medium Enterprises (SMEs) are primarily engaged in the bakery business, but cannot compete with the branded bakery Industry. The SMEs in Malaysia are striving hard to achieve growth in the business of bakery products. The present case study deals with the issues faced by SMEs and provided some valid recommendations to resolve the existing problems in the bakery business. The case analysis and its findings reveal that SMEs have unstructured marketing strategies and needs enhancements in the areas of packaging, value add to the bakery products, focus on promotion and appropriate advertising strategies. Further, the analysis reveals that more coverage of selling points for bakery products, the increased number of distribution centers and proper incentives to the agents may definitely improve the marketing of bakery products.
This study analyzes the determinants of workplace injuries across 44 four-digit manufacturing industries in Malaysia from 1993 to 2008 through the business cycle and structural approaches. The results of fixed-effects estimations revealed that workplace injuries in Malaysian manufacturing sector were negatively influenced by firm size and positively influenced by business cycle. Consistent with the findings of previous studies in other countries, the empirical evidence of this study supports the pro-cyclical behavior of injury rates in manufacturing industries towards business cycle. The analysis demonstrates that both structural and cyclical variation effects are important determinants of workplace injuries in Malaysia.
Street food in NST province is crucial for the people due to the changing of lifestyles. The
consumers demand enhances the number of street vendors in the province. Nevertheless, there
are vendors that are not practicing good hygienic compared to other province. The objectives
of this study are to identify the pattern of street food consumption, and consumers’ opinion
towards the street food. Observation and in-depth interview were used to collect data. Ten
respondents with various demographic backgrounds were interviewed on their experiences,
and opinions toward street food. The data found that the street food consuming pattern was
formed in six major themes: consumer characteristic, type of food, location, time of consuming,
ways to consume and reasons of consuming. Additionally, the study also declared consumer’s
opinion on the problems related to street food. The finding aims local authority to have more
understanding on the culture of street food consumption, and the problems that have been
existed to find the appropriate improvement, and do not induce any conflict between local
authority with street vendors and authority with consumers.
Almost a half century after it was introduced, Wilks’ statistic has come into application in industrial manufacturing process variability monitoring. This is an important breakthrough in the way experts monitor the variability of manufacturing processes which is vital in modern industry. It leaves behind the traditional practice characterized by the use of sample size n which equals 1, if the process variability monitoring is based on individual observations and is greater than the number of variables p if one works with subgroup observations. The use of Wilks’ statistic allows us to work with n < p. This paper contains a review on process variability monitoring based on individual observations. First, some historical backgrounds of process variability monitoring in the general scheme was reviewed before it was revealed where the philosophy of Wilks’ statistic could be further interpreted. Subsequently it was indicated that the way to monitor the process variability depended on how the variability itself was measured. Finally, a new statistic for detecting the shift in variability based on individual observations was introduced and then a new control chart was proposed. The performance of the proposed chart as compared with Wilks chart, was quite promising. Therefore, some recommendations were given to better understand the history of manufacturing process variability.
Widespread use of mobile devices has resulted in the creation of large amounts of data. An example of such data is the one obtained from the public (crowd) through open calls, known as crowdsourced data. More often than not, the collected data are later used for other purposes such as making predictions. Thus, it is important for crowdsourced data to be recent and accurate, and this means that frequent updating is necessary. One of the challenges in using crowdsourced data is the unpredictable incoming data rate. Therefore, manually updating the data at predetermined intervals is not practical. In this paper, the construction of an algorithm that automatically updates crowdsourced data based on the rate of incoming data is presented. The objective is to ensure that up-to-date and correct crowdsourced data are stored in the database at any point in time so that the information available is updated and accurate; hence, it is reliable. The algorithm was evaluated using a prototype development of a local price-watch information application, CrowdGrocr, in which the algorithm was embedded. The results showed that the algorithm was able to ensure up-to-date information with 94.9% accuracy.
Crowdsourcing has changed the way people conduct business. It provides access to work, and employers can source for the best talent, at the best price, with the shortest turnaround time. Research so far has focussed on crowdsourcing implementation. Hence, there is a need to conduct research that can contribute towards crowdsourcing sustainability. Thus, the objectives of this paper are to identify current practices of crowdsourcing in Malaysia and the challenges that face it. A conceptual model for crowdsourcing sustainability ecosystem is then proposed. This study adopted the case-study approach. Two crowdsourcing platforms were examined in the case study. Two techniques were used to obtain the data: observation and interview. Observation was carried out to observe how the crowdsourcing platforms worked. The interviews helped to uncover current practices, challenges in using crowdsourcing and identification of sustainability factors. It is hoped that the proposed conceptual model will facilitate better planning of the ecosystem supporting crowdsourcing and ensure sustainable growth for crowdsourcing. Future research into crowdsourcing can test the proposed conceptual model to validate its components.
The chemical composition and anatomical characteristics on lignin distribution of rattan waste were analyzed to determine its suitability to be used in binderless board fabrication. The chemical composition was analyzed by using TAPPI methods. Observation and determination of lignin distribution and board structure were executed by using optical microscopy (OM) and scanning electron microscope (SEM). High amount of hemicellulose, cellulose and lignin content found in rattan waste chemical composition is seen to help in binderless board fabrication. The micrographs revealed that the rattan has fine structural construction that helps in producing good qualities of binderless boards with particular manufacturing parameters.
The trends of safety incident process have been put in the statistical research and development in order to prevent
and mitigate the phenomenon. One of the incidents is known as dust explosion. It represents a constant hazard to
industries which includes any manufacturing using and handling combustible dust materials. Lack of sharing and
know-how on best practices in managing the workplace must be avoided throughout the industries. The severity and
the consequences of not taking the safety precautions at workplace have not been foreseen by the process team. This
present paper discusses the best practices in managing the hazards from the catastrophes to happen again. In addition,
the mitigation response has also been explored thoroughly through database of best practices.
Small accommodation providers are challenged to grow their business due to their limited resources. Although social networking is suggested to assist organization growth, few studies have focused on how owner-managers in the Malaysian hospi-tality industry network and the value they attach to it. This paper presents findings of 10 in-depth interviews of social networking motivation and barrier of owner-managers of small accommodation in Kuching, Malaysia. The findings show that the owner-managers were motivated by the perceived organizational and personal bene-fits of networking with others. However, issues such as social competence and busi-ness concerns were identified as barriers that may limit their participation in network-ing. To overcome these issues, it is suggested that educators, policymakers, and trade associations work together with the owner-managers to address their specific devel-opment and resource needs.
Flexible manufacturing system (FMS) enhances the firm's flexibility and responsiveness to the ever-changing customer demand by providing a fast product diversification capability. Performance of an FMS is highly dependent upon the accuracy of scheduling policy for the components of the system, such as automated guided vehicles (AGVs). An AGV as a mobile robot provides remarkable industrial capabilities for material and goods transportation within a manufacturing facility or a warehouse. Allocating AGVs to tasks, while considering the cost and time of operations, defines the AGV scheduling process. Multi-objective scheduling of AGVs, unlike single objective practices, is a complex and combinatorial process. In the main draw of the research, a mathematical model was developed and integrated with evolutionary algorithms (genetic algorithm (GA), particle swarm optimization (PSO), and hybrid GA-PSO) to optimize the task scheduling of AGVs with the objectives of minimizing makespan and number of AGVs while considering the AGVs' battery charge. Assessment of the numerical examples' scheduling before and after the optimization proved the applicability of all the three algorithms in decreasing the makespan and AGV numbers. The hybrid GA-PSO produced the optimum result and outperformed the other two algorithms, in which the mean of AGVs operation efficiency was found to be 69.4, 74, and 79.8 percent in PSO, GA, and hybrid GA-PSO, respectively. Evaluation and validation of the model was performed by simulation via Flexsim software.
The changes on the vegetables oil trading environment might change the foundation of palm oil pricing and induce a structural change to the price model. Failing to take it account the structural change in a data series might lead to misspecification of the actual model. This study, however, showed that structural change was not present in the monthly, January 1983 to July 1995, palm oil price, but it was present on the unconditional variance. The underlying model of this series was ARIMA (3, 1, 0) with ARCH (1). The critical change of the unconditional variance took place in April 1989.
Perubahan dalam suasana perdagangan minyak sayuran boleh mengubah asas harga minyak kelapa sawit. Seterusnya ia merangsang perubahan dalam struktur model harga minyak tersebut. Kegagalan untuk mengambil kira perubahan struktur dalam siri data menjadikan model itu tidak menepati spesifikasi daripada model sebenar. Kajian ini mendapati bahawa perubahan struktur tidak berlaku bagi data harga minyak sawit dari Januari 1983 hingga Julai 1995. Tetapi perubahan berlaku pada varians tidak bersyaratnya. Model asas bagi siri ini adalah ARIMA (3,1,0) dengan ARCH(1). Didapati juga bahawa perubahan yang kritikal bagi varians tidak bersyarat berlaku pada bulan April 1989.