Displaying publications 21 - 40 of 200 in total

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  1. Balasubramaniam K
    Issues Med Ethics, 2000 Jan-Mar;8(1):26-7.
    PMID: 16323335
    Matched MeSH terms: Commerce
  2. Rahman MK, Hoque MN, Yusuf SNS, Yusoff MNHB, Begum F
    PLoS One, 2023;18(1):e0280108.
    PMID: 36662905 DOI: 10.1371/journal.pone.0280108
    This study aims to investigate the customers' perceptions of Islamic banking services and their impact on satisfaction and word of mouth (WOM) with others. This study designs the bootstrapping procedures using a partial least square method to test path coefficient results. Structured questionnaires were distributed among clients of Islamic banks in Dhaka city, where 377 responses were collected for data analysis. The findings revealed that there is a highly significant relationship between security and customers' perception. Ethical responsibility and religious value have a positive and significant impact on customers' perception whereas benefit has a negative significant impact on customers' perception. Findings from this study also indicated that customers' perceptions mediate the effect of ethical responsibility, religious value, benefit, and security on satisfaction. In addition, customers' satisfaction mediates the effect of customers' perception and WOM. These findings can promote managers of Islamic banks to build customer satisfaction and WOM with Islamic banking services, and attain competitive advantage that may lead Islamic banks to succeed in the competitive business. This study also provides new insights into customers' WOM with others about Islamic banking services. This knowledge could assist Islamic banks to understand the customers' perceptions that would increase satisfaction and in turn, contribute to WOM with others in determining where would be best to target marketing attention of Islamic banking services with limited resources.
    Matched MeSH terms: Commerce*
  3. Abdul-Rahman H, Berawi MA
    Qual Assur, 2001;9(1):5-30.
    PMID: 12465710
    Knowledge Management (KM) addresses the critical issues of organizational adoption, survival and competence in the face of an increasingly changing environment. KM embodies organizational processes that seek a synergistic combination of the data and information processing capabilities of information and communication technologies (ICT), and the creative and innovative capacity of human beings to improve ICT In that role, knowledge management will improve quality management and avoid or minimize losses and weakness that usually come from poor performance as well as increase the competitive level of the company and its ability to survive in the global marketplace. To achieve quality, all parties including the clients, company consultants, contractors, entrepreneurs, suppliers, and the governing bodies (i.e., all involved stake-holders) need to collaborate and commit to achieving quality. The design based organizations in major business and construction companies have to be quality driven to support healthy growth in today's competitive market. In the march towards vision 2020 and globalization (i.e., the one world community) of many companies, their design based organizations need to have superior quality management and knowledge management to anticipate changes. The implementation of a quality system such as the ISO 9000 Standards, Total Quality Management, or Quality Function Deployment (QFD) focuses the company's resources towards achieving faster and better results in the global market with less cost. To anticipate the needs of the marketplace and clients as the world and technology change, a new system, which we call Power Quality System (PQS), has been designed. PQS is a combination of information and communication technologies (ICT) and the creative and innovative capacity of human beings to meet the challenges of the new world business and to develop high quality products.
    Publication year= 2001 Jan-2002 Mar
    Matched MeSH terms: Commerce/organization & administration*; Commerce/standards
  4. Chong SSF, Kanno M, Chee ASM, Long SM, Ong SHM, Harnpramukkul U, et al.
    Ther Innov Regul Sci, 2023 Jan;57(1):12-25.
    PMID: 36175790 DOI: 10.1007/s43441-022-00435-8
    PURPOSE: Asia Partnership Conference of Pharmaceutical Associations (APAC) promote regulatory agility of four important best practices i.e. reliance, digital platform, accepting electronic document and process integration. Dialogues and strong partnership witnessed reforms and efficiencies amidst the pandemic. In tracking the progress of regulatory agility, APAC identifies areas for improvement and recommends prioritizing these areas for change.

    METHODS: As one voice, 13 main industry associations under the umbrella of APAC sent joint letters to our National Regulatory Authorities (NRAs) with a call to maintain regulatory agility and consider new ways of working. Consequently, APAC surveyed its member associations to measure regulatory agilities implemented by the NRAs during 2020 and 2021 in view of the pandemic.

    RESULTS: This paper reports progress in implementing regulatory agility, e.g. the number of economies that can accept electronic Certificate of Pharmaceutical Products (eCPP) has reached 100% for the economies that require CPP and more than 90% can waive onsite inspection in the presence of Good Manufacturing Practice (GMP) certificate and/or inspection report. The paper also features the progress made in Malaysia, the Philippines, and the ASEAN (Association of South East Asian Nations) regional reliance initiative to reduce inefficiencies and duplications.

    CONCLUSIONS: We have demonstrated the power of working together to enable regulatory agilities and efficiencies. APAC will continue to track the progress of all economies including India within the areas for improvement prioritized and discussed in this paper. APAC is also committed to working with key stakeholders including our NRAs in Asia to sustain and enable a new era of innovation ushered in by COVID-19 to benefit patients.

    Matched MeSH terms: Commerce
  5. Khongtong, J., Ab Karim, S., Othman, M., Bolong, J.
    MyJurnal
    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.
    Matched MeSH terms: Commerce
  6. Nordin AS, Bullen C
    Tob Control, 2014 Jan;23(1):4-5.
    PMID: 24479154
    Matched MeSH terms: Commerce*
  7. Ahmad S, Wong KY, Butt SI
    Environ Sci Pollut Res Int, 2023 Mar;30(15):43068-43095.
    PMID: 35904736 DOI: 10.1007/s11356-022-22172-z
    Due to significant requirement of energy, water, material, and other resources, the manufacturing industries significantly impact environmental, economic, and social dimensions of sustainability (triple bottom-line). In response, today's research is focused on finding solution towards sustainable manufacturing. In this regard, sustainability assessment is an essential strategy. In the past, a variety of tools was developed to evaluate the environmental dimension. Because of this fact, previous review studies were grounded mostly on tools for green manufacturing. Unlike previous review articles, this study was aimed to review and analyze the emerging sustainability assessment methodologies (published from 2010 to 2020) for manufacturing while considering the triple bottom-line concept of sustainability. In this way, the paper presents a decade review on this topic, starting from 2010 as the guidelines for the social dimension became available in 2009. This paper has analyzed various methods and explored recent progress patterns. First, this study critically reviewed the methods and then analyzed their different integrating tools, sustainability dimensions, nature of indicators, difficulty levels, assessment boundaries, etc. The review showed that life cycle assessment and analytic hierarchy process-based approaches were most commonly used as integrating tools. Comparatively, still, environmental dimension was more commonly considered than economic and social dimensions by most of the reviewed methods. From indicators' viewpoint, most of the studied tools were based on limited number of indicators, having no relative weights and validation from the experts. To overcome these challenges, future research directions were outlined to make these methods more inclusive and reliable. Along with putting more focus on economic and social dimensions, there is a need to employ weighted, validated, and applicable indicators in sustainability assessment methods for manufacturing.
    Matched MeSH terms: Commerce*
  8. Ross H, Husain MJ, Kostova D, Xu X, Edwards SM, Chaloupka FJ, et al.
    MMWR Morb Mortal Wkly Rep, 2015 May 29;64(20):547-50.
    PMID: 26020137
    An estimated 11.6% of the world cigarette market is illicit, representing more than 650 billion cigarettes a year and $40.5 billion in lost revenue. Illicit tobacco trade refers to any practice related to distributing, selling, or buying tobacco products that is prohibited by law, including tax evasion (sale of tobacco products without payment of applicable taxes), counterfeiting, disguising the origin of products, and smuggling. Illicit trade undermines tobacco prevention and control initiatives by increasing the accessibility and affordability of tobacco products, and reduces government tax revenue streams. The World Health Organization (WHO) Protocol to Eliminate Illicit Trade in Tobacco Products, signed by 54 countries, provides tools for addressing illicit trade through a package of regulatory and governing principles. As of May 2015, only eight countries had ratified or acceded to the illicit trade protocol, with an additional 32 needed for it to become international law (i.e., legally binding). Data from multiple international sources were analyzed to evaluate the 10 most commonly used approaches for addressing illicit trade and to summarize differences in implementation across select countries and the European Union (EU). Although the WHO illicit trade protocol defines shared global standards for addressing illicit trade, countries are guided by their own legal and enforcement frameworks, leading to a diversity of approaches employed across countries. Continued adoption of the methods outlined in the WHO illicit trade protocol might improve the global capacity to reduce illicit trade in tobacco products.
    Matched MeSH terms: Commerce/legislation & jurisprudence*
  9. Liber AC, Ross H, Omar M, Chaloupka FJ
    Tob Control, 2015 Jul;24 Suppl 3:iii83-iii87.
    PMID: 25808666 DOI: 10.1136/tobaccocontrol-2014-052028
    Study the effects of the 2011 Malaysian minimum price law (MPL) on prices of licit and illicit cigarette brands. Identify barriers to the MPL achieving positive public health effects.
    Matched MeSH terms: Commerce/economics*; Commerce/legislation & jurisprudence
  10. Mohd Nor MN, Abu Mustapa AJ, Abu Hassan MA, Chang KW
    Rev. - Off. Int. Epizoot., 2003 Aug;22(2):485-97.
    PMID: 15884584
    The Department of Veterinary Services (DVS) in Malaysia was established in 1888 as an agency to control exotic and domestic animal diseases. Over the years, the structure and functions of the organisation have evolved to meet the growing demand for veterinary services. The responsibilities of the Veterinary Services are enshrined in the Constitution of Malaysia. The current organisation of the DVS is structured to achieve the following objectives:---to prevent, control and eradicate animal and zoonotic diseases--to facilitate the growth and development of a strong animal industry--to ensure that animal products for human consumption are wholesome, clean, safe and suitable to be consumed--to facilitate the growth and development of the animal feed industry--to ensure the welfare and well-being of all animals. To meet these objectives the DVS has nine different divisions, as follows: Planning and Evaluation, Epidemiology and Veterinary Medicine, Veterinary Public Health, Research and Development, Industry Development, Production and Development of Genetic Resources, Human Resource Development (HRD), Enforcement, and Administration. The development of the animal industry is managed through national development policies, including the Third National Agriculture Policy. The basis for current programmes for disease control and animal industry development is the Eighth Development Plan (2001-2005). Over the period of this Plan, Malaysia will address the need for sanitary and phytosanitary measures by developing specific programmes covering all fields of the animal industry. This is just one way in which Malaysia is meeting the challenges of the increased liberalisation of trade created by the World Trade Organization and the Association of Southeast Asian Nations Free Trade Area. The development of the industry is focused on the major commodities, namely, beef, mutton, poultry meat, eggs, pork and milk. Other commodities receive support if it is considered economically viable. All support services are being strengthened, particularly the HRD division. The organisation and functions of the DVS are constantly being reviewed in accordance with changes in the animal industry and the nature of the services in demand.
    Matched MeSH terms: Commerce*
  11. Chen H
    Zhonghua Yi Shi Za Zhi, 1996;26(1):43-9.
    PMID: 11613284
    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.
    Matched MeSH terms: Commerce/history*
  12. Khan D, Jung LT, Hashmani MA, Cheong MK
    Sensors (Basel), 2022 Jan 25;22(3).
    PMID: 35161661 DOI: 10.3390/s22030915
    The massive success of blockchain technology in Bitcoin is taking the world by storm by attracting vast acceptance from both the public and private sectors. Blockchain allows digital transactions between two parties without a third party as a broker. Blockchain is now applicable beyond fintech to various other industries. Among these, Hyperledger fabric has emerged as the most popular blockchain-based open-source permissioned platform targeting business applications. It has been used in over 400 proofs-of-concept blockchain and is well proven in applications, such as supply chain, healthcare, and so on. Despite the many obvious benefits observed in blockchain-enhanced platforms, there still exist technical challenges in scalability, causing performance deficiency, which includes latency and throughput. There is an exigent need to improve the current blockchain-based applications to have the blockchain nodes be scalable without compromising the blockchain performance. In this study, we present the impact of workload variance of up to 1000 transactions with the setup of 20 blockchain nodes in the Hyperledger LTS platform. The evaluation metrics are transaction success and failure rate, throughput, and latency in the blockchain. The transaction throughput was found to be consistent with the increasing workload on a constant number of nodes. However, it showed a declining trend with an increasing number of nodes. As far as the latency, it was in tandem with the increased workload and the number of nodes. We, therefore, conclude that the LTS version is suitable for small and medium enterprises that do not scale up.
    Matched MeSH terms: Commerce
  13. Neo YT, Chia WY, Lim SS, Ngan CL, Kurniawan TA, Chew KW
    Food Res Int, 2023 Mar;165:112480.
    PMID: 36869493 DOI: 10.1016/j.foodres.2023.112480
    Production and extraction systems of algal protein and handling process of functional food ingredients need to control several parameters such as temperature, pH, intensity, and turbidity. Many researchers have investigated the Internet of Things (IoT) approach for enhancing the yield of microalgae biomass and machine learning for identifying and classifying microalgae. However, there have been few specific studies on using IoT and artificial intelligence (AI) for production and extraction of algal protein as well as functional food ingredients processing. In order to improve the production of algal protein and functional food ingredients, the implementation of smart system is a must to have real-time monitoring, remote control system, quick response to sudden events, prediction and characterisation. Techniques of IoT and AI are expected to help functional food industries to have a big breakthrough in the future. Manufacturing and implementation of beneficial smart systems are important to provide convenience and to increase the efficiency of work by using the interconnectivity of IoT devices to have good capturing, processing, archiving, analyzing, and automation. This review investigates the possibilities of implementation of IoT and AI in production and extraction of algal protein and processing of functional food ingredients.
    Matched MeSH terms: Commerce
  14. Abu Hassan Shaari Mohd Nor, Chin WC
    Sains Malaysiana, 2006;35:67-73.
    This paper analyzes the asymmetric long memory volatility dependency of the interday prices of Composite Index (CI) at Bursa Malaysia by using GARCH family models. The GARCH type models are used with the assumption that the innovations series follow either one of the following distributions: Gaussian, Student -t and skewed Student -t. The stock returns' long memory dependency is determined using the Hurst parameter. The long memory and asymmetric volatility are modelled by fractionally integrated GARCH models. It is found that the asymmetric and long memory GARCH models with skewed student-t distribution give better predictive ability on the volatility of the Kuala Lumpur Composite Index (KLCI).
    Matched MeSH terms: Commerce
  15. Andersen SK, Staerk J, Kalhor E, Natusch DJD, da Silva R, Pfau B, et al.
    Data Brief, 2021 Feb;34:106708.
    PMID: 33506080 DOI: 10.1016/j.dib.2020.106708
    We collected data on the trade of seven turtle and tortoise species endemic to Indonesia and Malaysia (Amyda cartilaginea, Batagur borneoensis, Cuora amboinensis, Carettochelys insculpta, Heosemys annandalii, Heosemys grandis, and Heosemys spinosa). The data on those species included: operations costs of three breeding farms and one export facility; species life-history traits; and species international legal trade and confiscation data. We collected data for the facilities (one in Malaysia and three in Indonesia) using site visits and a semi-structured questionnaire. We conducted a literature review to compile relevant information on species' life-history traits to estimate breeding viability. We downloaded species-specific data on international trade from the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Trade Database for the exporting countries (Malaysia and Indonesia) for 2000-2015. We compared legal trade with confiscation data obtained from CITES. The data in this article can provide insights into the operations of turtle breeding farms in Southeast Asia. These data can be used as a reference for the inspection of breeding farms and for legislative bodies to determine whether captive breeding for select turtle species is feasible.
    Matched MeSH terms: Commerce
  16. Juergens J, Bruslund S, Staerk J, Oegelund Nielsen R, Shepherd CR, Leupen B, et al.
    Data Brief, 2021 Jun;36:107093.
    PMID: 34041313 DOI: 10.1016/j.dib.2021.107093
    In this article we present a standardized dataset on 6659 songbirds (Passeriformes) highlighting information relevant to species conservation prioritization with a main focus to support the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Data were collected from both scientific and grey literature as well as several online databases. The data are structured into six knowledge categories: Conventions and Treaties, Human Use, Extinction Risk, Management Opportunities, Biological Information, and Intrinsic Values. The Conventions and Treaties category includes the listings for two international conventions, CITES and the Convention on the Conservation of Migratory Species of Wild Animals (CMS), as well as EU listings for the EU Wildlife Trade Regulations and the EU Birds Directive. The Human Use category contains information on both regulated trade collected from the CITES Trade Database and the United States' Law Enforcement Management Information System (LEMIS), and highly aggregated data on seizures which we obtained from TRAFFIC, the United Nations Office on Drugs and Crime (UNODC) and two data sources on traditional medicine. We also present, for the first time, the complete Songbirds in Trade Database (SiTDB), a trade database curated by taxon expert S. Bruslund based on expert knowledge, literature review, market surveys and sale announcements. Data on the types of human use, including traditional medicine are also provided. The knowledge area on Extinction Risk contains data on the species' IUCN Red List status, the Alliance for Zero Extinction Trigger Species status, site and population at the site, the species' IUCN Climate Change Vulnerability Assessment, and the listing of priority species at the Asian Songbird Crisis Summit. In the Management Opportunities category, we gathered data on ex-situ management from Species360 zoo holdings as well as species management plans from the European and North American Zoo Associations (EAZA and AZA, respectively). Biological Information includes data on body mass, clutch size, diet, availability of data from the IUCN Red List on habitat systems, extent of occurrence, generation length, migration pattern, distribution, and biological data from the Demographic Species Knowledge Index, number of occurrences recorded by the Global Biodiversity Information Facility (GBIF) as well as genomic data from the Bird 10 000K Genomes (B10K) project, Vertebrate Genome Project (VGP) and GenBank. Information on invasive species is also part of this knowledge area. The Intrinsic Value category refers to two measures of the species' intrinsic value, namely Ecological and Evolutionary Distinctiveness. In order to make these knowledge areas comparable, we standardized data following the taxonomy of the Handbook of the Birds of the World and Birdlife (Version 4, 2019). The data enable a broad spectrum of analyses and will be useful to scientists for further research and to policymakers, zoos and other conservation stakeholders for future prioritization decisions.
    Matched MeSH terms: Commerce
  17. Lopez CA, Castillo LF, Corchado JM
    Sensors (Basel), 2021 Jan 06;21(2).
    PMID: 33418918 DOI: 10.3390/s21020328
    Internet of Things (IoT) should not be seen only as a cost reduction mechanism for manufacturing companies; instead, it should be seen as the basis for transition to a new business model that monetizes the data from an intelligent ecosystem. In this regard, deciphering the operation of the value creation system and finding the balance between the digital strategy and the deployment of technological platforms, are the main motivations behind this research. To achieve the proposed objectives, systems theory has been adopted in the conceptualization stage, later, fuzzy logic has been used to structure a subsystem for the evaluation of input parameters. Subsequently, system dynamics have been used to build a computational representation and later, through dynamic simulation, the model has been adjusted according to iterations and the identified limits of the system. Finally, with the obtained set of results, different value creation and capture behaviors have been identified. The simulation model, based on the conceptualization of the system and the mathematical representation of the value function, allows to establish a frame of reference for the evaluation of the behaviour of IoT ecosystems in the context of the connected home.
    Matched MeSH terms: Commerce
  18. Martín DG, Florez SL, González-Briones A, Corchado JM
    Sensors (Basel), 2023 Jan 14;23(2).
    PMID: 36679779 DOI: 10.3390/s23020982
    The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today's devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.
    Matched MeSH terms: Commerce
  19. Cressey D
    Nature, 2015 May 28;521(7553):401-2.
    PMID: 26017420 DOI: 10.1038/521401a
    Matched MeSH terms: Commerce/economics; Commerce/legislation & jurisprudence*
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