Public perceptions, understanding and acceptance of modern biotechnology can both promote and hamper their commercial introduction and adoption. Various studies have shown that consumer acceptance of modern biotechnology tend to be conditional and dependent on several factors. Public perceptions of biotechnology have received extensive attention in recent years in most Western countries such as Europe, USA and Canada but there have been limited similar surveys in developing countries. Most of the earlier studies used uni-dimensional or bi-dimensional instrument with multi-items or the most is four dimensions with single item. In this study, public attitude towards genetically modified (GM) soybean that is already available in the Malaysian market. A survey was carried out on 577 general public respondents in the Klang Valley region. In order to detect the structure of attitude amongst the expert group in the Klang Valley region, structural equation modeling (SEM) using AMOS version 5.1 was carried out. Result of the survey has confirmed that attitude towards complex issues such as biotechnology should be seen as multi-faceted/ multidimensional process. The most important factors predicting encouragement of GM soybean are the specific application-linked perceptions about the benefits and acceptance of risk while moral concern, risk and familiarity are significant predictors of intermediate factors. Researchers, policy makers and industries interested in developing and marketing GM products in Malaysia should consider the various factors mentioned in this in order to gain public approval.
To examine the impact of tobacco advertising policy on adult smokers' awareness of tobacco promotion in two developing countries--Malaysia and Thailand.
In the wake of the World Health Organization Framework Convention on Tobacco Control, corporate social responsibility (CSR) is among the few remaining mechanisms for tobacco corporations publicly to promote their interests. Health advocates may be unaware of the scale, nature and implications of tobacco industry CSR. This investigation aimed to construct a typology of tobacco industry CSR through a case study of the evolution and impact of CSR activities of a particular tobacco corporation in one country - British American Tobacco, Malaysia (BATM), the Malaysian market leader. Methods included searching, compiling and critically appraising publicly available materials from British American Tobacco, BATM, published literature and other sources. The study examined BATM's CSR strategy, the issues which it raises, consequences for tobacco control and potential responses by health advocates. The investigation found that BATM's CSR activities included assistance to tobacco growers, charitable donations, scholarships, involvement in anti-smuggling measures, 'youth smoking prevention' programs and annual Social Reports. BATM has stated that its model is predominantly motivated by social and stakeholder obligations. Its CSR activities have, however, had the additional benefits of contributing to a favourable image, deflecting criticism and establishing a modus vivendi with regulators that assists BATM's continued operations and profitability. It is imperative that health advocates highlight the potential conflicts inherent in such arrangements and develop strategies to address the concerns raised.
In 1981 the World Health Assembly (WHA) adopted the International Code of Marketing of Breastmilk Substitutes out of concern that inappropriate marketing of breastmilk substitutes was contributing to the alarming decline in breastfeeding worldwide and the increase in child malnutrition and mortality, particularly in developing countries.
Matched MeSH terms: Marketing of Health Services/legislation & jurisprudence*; Marketing of Health Services/standards
A trial was conducted to determine the influence of short-term exposure to high ambient temperature at 28 and 35 days of age on deep body temperatures (Tb) and subsequent growth of birds until 42 days of age. A total of 90 day old chicks were reared in stainless steel battery cages and were assigned at random into 18 pens of 5 birds each, with 9 pens containing males and another 9 pens containing females. Three treatment groups, each represented by 3 male and 3 female pens, were represented by T1 without any heat exposure, T2 with heat exposure starting at day 28 and T3 with heat exposure starting at day 35. Heat stress was defined as 180 min exposure to 35 +/- 1 degrees C. Tb and body weights were measured at 35, 37 and 39 days of age immediately following heat exposure. Heat stress resulted in higher Tb and Onset of heat stress at 28 days resulted in significantly lower Tb than onset of heat stress at 35 days. Lower Tb in T2 than T3 permitted recovery in body weight at 42 days. Sexes responded similarly to heat stress.
Introduction : Economic evaluations can provide “value-for money” information to those making decisions about the allocation of limited health care resources. In particular, economic evaluations can be used to identify interventions that are worth providing and those that are not. Furthermore, evaluations can be used with other approaches to help set priorities, such as program-budgeting marginal-analysis.
Methodology : Compile and systematically describe from the publications, articles and reports on economic evaluation in healthcare decision making.
Result : A high quality economic evaluation should provide decision makers with information that is useful, relevant, and timely. In addition, evaluations should be based on rigorous analytical methods, be balanced and impartial (credible), and be transparent and accessible to the reader. There are many situations where economic evaluations can assist decision makers: decisions by various levels of government or administrative bodies (e.g., regional health authorities, hospitals, drug plans) to fund a program, service or technology, pricing decisions by government regulators and technology manufacturers, clinical practice guidelines, priorities for research funding by governments and researchbased firms, post-marketing surveillance and updates of economic information based on the use of the technology in the “real world” (which can then be used to inform one of the other types of decisions).
Conclusion: This requires that decision makers take a broad view of the impact of a technology, and decision that are more explicit and transparent. The ultimate test of an evaluation is whether it leads to better decision in the presence of uncertainty, and results in the more efficient and effective use of resources.
A wide range of cigarette prices can undermine the impact of tobacco tax policy when smokers switch to cheaper cigarettes instead of quitting. In order to better understand this behaviour, we study socio-economic determinants of price/brand choices in two different markets: a semi-monopolistic market in Thailand and a competitive market in Malaysia. The hypothesis that the factors affecting the price/brand choice are different in these two markets is analysed by employing a 2005 survey among smokers. This survey provides a unique perspective on market characteristics usually described only in business reports by the tobacco industry. We found that smokers in Thailand have fewer opportunities to trade down to save money on cigarettes, but pay lower prices than smokers in Malaysia, despite Thailand's higher tax rate. The Malaysian market, on the other hand, offers many possibilities to shop around for cheaper cigarettes. Higher income and education increase the price paid per cigarette in both countries, but the impact of these factors is larger in Malaysia. This has implications for sensitivity to cigarette prices. Using tax policy alone should be a more effective tobacco control measure in Thailand as compared to Malaysia. The effectiveness of a tax increase in Malaysia can be improved by adding programmes focusing on smoking cessation among low-income/low-educated smokers.
A cross-sectional survey using a self-administered questionnaire was conducted among 793 rear passengers in Malaysia. Logistic regression was performed to analyse the association of rear seatbelt wearing with 12 independent variables. Seven factors were significantly associated with rear seatbelt wearing. Experience of being stopped by an enforcement officer for not wearing rear seatbelt yielded the highest odds ratio 2.3 (p = 0.002) followed by self-consciousness (odds ratio 1.7; p = 0.004), attitude (odds ratio 1.5, p = 0.001), and knowledge (odds ratio 1.4, p = 0.004). Age of participants and their perception of being caught by an enforcement officer were also significantly associated with rear seatbelt wearing, odds ratios were 1.03 (p = 0.004) and 1.1 (p = 0.004), respectively. In contrast, level of education was negatively associated with rear seatbelt wearing (odds ratio 0.59, p = 0.003). It was concluded that enforcement activities, knowledge and attitude on seatbelt wearing play a very important role in improving the rate of rear seatbelt wearing. Thus, efforts to increase these factors should be the special focus in designing education and social marketing activities to advocate rear seatbelt wearing.
Industrial statistics is an important part of the management system in any industry that strives to continuously improve quality and increase productivity and efficiency. That system covers supply chain management, production design and prototyping, production process and marketing. Industrial statisticians, industrial engineers and industrial leaders should work together hand in hand, in the same language, to ensure that the process and products are as expected. The system itself is never complete. Thus, the usefulness, manageability and reliability of all statistical models used in the system are to be considered as first priority, but those skills are not sufficient. Industrial statisticians should also, of course, be able to come and go between the two poles: statistics and industry. This requirement needs a good understanding about the culture of these poles and how to conduct a mutual symbiosis. One of the principal bridges between these cultures is statistical process control (SPC). This paper is to show that modern industry cannot escape from SPC, especially in a multivariate setting. This setting, which characterizes modern industry, consists of two philosophical problems: how to order data and how to measure process variability. Our recent research results sponsored by the Government of Malaysia will be presented to illustrate the challenging statistical problems in modern industry.
Physicians should play a leading role in combatting smoking; information on attitudes of future physicians towards tobacco control measures in a middle-income developing country is limited. Of 310 future physicians surveyed in a medical school in Malaysia, 50% disagreed that it was a doctor's duty to advise smokers to stop smoking; 76.8% agreed that physicians should not smoke before advising others not to smoke; and 75% agreed to the ideas of restricting the sale of cigarettes to minors, making all public places smoke-free and banning advertising of tobacco-related merchandise. Future physicians had positive attitudes towards tobacco regulations but had not grasped their responsibilities in tobacco control measures.
The stock market is considered essential for economic growth and expected to contribute to improved productivity. An efficient pricing mechanism of the stock market can be a driving force for channeling savings into profitable investments and thus facilitating optimal allocation of capital. This study investigated the technical efficiency of selected groups of companies of Bangladesh Stock Market that is the Dhaka Stock Exchange (DSE) market, using the stochastic frontier production function approach. For this, the authors considered the Cobb-Douglas Stochastic frontier in which the technical inefficiency effects are defined by a model with two distributional assumptions. Truncated normal and half-normal distributions were used in the model and both time-variant and time-invariant inefficiency effects were estimated. The results reveal that technical efficiency decreased gradually over the reference period and that truncated normal distribution is preferable to half-normal distribution for technical inefficiency effects. The value of technical efficiency was high for the investment group and low for the bank group, as compared with other groups in the DSE market for both distributions in time-varying environment whereas it was high for the investment group but low for the ceramic group as compared with other groups in the DSE market for both distributions in time-invariant situation.
Introductions: Call center has been defined as a working environment in which uses telephone and computer for the purpose of marketing and manage communication with prospect clients or existing clients (Rocha, Glina, Morinho and Nakasato, 2005; Sprigg, Smith and Jackson, 2003).
Methodology: The study was conducted via observation of working condition and face to face interview with call center operators. Measurement of anthropometrics was also conducted.
Results: Ergonomics issues found at call center were inappropriate work condition and workstation which lead to awkward sitting posture (sitting with forward leaning posture, raised shoulder, feet not supported on floor). Besides that organizational policy which required high job demand and subsequently lead to prolonged sitting and static posture (very minimal posture changes). Combination all these factors lead to musculoskeletal symptoms and the operators reported of having neck, shoulder, upper back and lower back pain compared to other body parts.
Conclusion: The management should embark on organization wide ergonomics management program and should review the current policy and create safe and healthy working environment by providing suitable workstation for the operators in order to prevent musculoskeletal.
With increasing public health awareness worldwide, demand for functional food with multiple health benefits has also increased. The use of medicinal food from folk medicine to prevent diseases such as diabetes, obesity, and cardiovascular problems is now gaining momentum among the public. Seed from Salvia hispanica L. or more commonly known as chia is a traditional food in central and southern America. Currently, it is widely consumed for various health benefits especially in maintaining healthy serum lipid level. This effect is contributed by the presence of phenolic acid and omega 3/6 oil in the chia seed. Although the presence of active ingredients in chia seed warrants its health benefits, however, the safety and efficacy of this medicinal food or natural product need to be validated by scientific research. In vivo and clinical studies on the safety and efficacy of chia seed are still limited. This paper covers the up-to-date research on the identified active ingredients, methods for oil extraction, and in vivo and human trials on the health benefit of chia seed, and its current market potential.
This study attempts to identify the optimum social marketing mix for marketing energy conservation behaviour to students in Malaysian universities. A total of 2000 students from 5 major Malaysian universities were invited to provide their preferred social marketing mix. A choice-based conjoint analysis identified a mix of five social marketing attributes to promote energy conservation behaviour; the mix is comprised of the attributes of Product, Price, Place, Promotion, and Post-purchase Maintenance. Each attribute of the mix is associated with a list of strategies. The Product and Post-purchase Maintenance attributes were identified by students as the highest priority attributes in the social marketing mix for energy conservation behaviour marketing, with shares of 27.12% and 27.02%, respectively. The least preferred attribute in the mix is Promotion, with a share of 11.59%. This study proposes an optimal social marketing mix to university management when making decisions about marketing energy conservation behaviour to students, who are the primary energy consumers in the campus. Additionally, this study will assist university management to efficiently allocate scarce resources in fulfilling its social responsibility and to overcome marketing shortcomings by selecting the right marketing mix.
Prescribing decisions are a complex phenomenon and influenced by many pharmacological and non-pharmacological factors. Little is known about the actual prescribing behaviors of physicians or the factors behind their prescribing decisions.
As Malaysian economies grow, Malaysian per capita income is likely to increase. From economics point of view, it is expected that better-off consumers will move to better quality of food attributes such as freshness, food safety, quality and healthfulness in their food intake. This study aimed to investigate the demand for eggs attributes by Malaysian consumers. The study considers the conjoint analysis technique as a method for acquiring insights into preferences for eggs product. The technique was applied to establish the trade-offs that Malaysian consumers make between size, colour, size of packaging, functional attribute and price in the purchasing of eggs for 202 respondents. Least squares regression was utilized to estimate the relative importance of attributes for eggs. The results revealed that the ideal characteristic of egg was one with large size (grade A), omega eggs, brown, and ten per packs. We also found that consumers were also willing to pay more for their preferred attributes. The results found in the study provide valuable inputs to producers or marketers to improve their marketing efforts as well as market positioning, in line with the demanded eggs attributes.
Environmental risk assessment of chemicals is reliant on good estimates of product usage information and robust exposure models. Over the past 20 to 30 years, much progress has been made with the development of exposure models that simulate the transport and distribution of chemicals in the environment. However, little progress has been made in our ability to estimate chemical emissions of home and personal care (HPC) products. In this project, we have developed an approach to estimate subnational emission inventory of chemical ingredients used in HPC products for 12 Asian countries including Bangladesh, Cambodia, China, India, Indonesia, Laos, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand, and Vietnam (Asia-12). To develop this inventory, we have coupled a 1 km grid of per capita gross domestic product (GDP) estimates with market research data of HPC product sales. We explore the necessity of accounting for a population's ability to purchase HPC products in determining their subnational distribution in regions where wealth is not uniform. The implications of using high resolution data on inter- and intracountry subnational emission estimates for a range of hypothetical and actual HPC product types were explored. It was demonstrated that for low value products (<500 US$ per capita/annum required to purchase product) the maximum deviation from baseline (emission distributed via population) is less than a factor of 3 and it would not result in significant differences in chemical risk assessments. However, for other product types (>500 US$ per capita/annum required to purchase product) the implications on emissions being assigned to subnational regions can vary by several orders of magnitude. The implications of this on conducting national or regional level risk assessments may be significant. Further work is needed to explore the implications of this variability in HPC emissions to enable the HPC industry and/or governments to advance risk-based chemical management policies in emerging markets.
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.
Appropriate identification and classification of online reviews to satisfy the needs of current and potential users pose a critical challenge for the business environment. This paper focuses on a specific kind of reviews: the suggestive type. Suggestions have a significant influence on both consumers' choices and designers' understanding and, hence, they are key for tasks such as brand positioning and social media marketing. The proposed approach consists of three main steps: (1) classify comparative and suggestive sentences; (2) categorize suggestive sentences into different types, either explicit or implicit locutions; (3) perform sentiment analysis on the classified reviews. A range of supervised machine learning approaches and feature sets are evaluated to tackle the problem of suggestive opinion mining. Experimental results for all three tasks are obtained on a dataset of mobile phone reviews and demonstrate that extending a bag-of-words representation with suggestive and comparative patterns is ideal for distinguishing suggestive sentences. In particular, it is observed that classifying suggestive sentences into implicit and explicit locutions works best when using a mixed sequential rule feature representation. Sentiment analysis achieves maximum performance when employing additional preprocessing in the form of negation handling and target masking, combined with sentiment lexicons.