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.
CRM adoption can provide innumerable benefits to the SMEs performance, including solving customer problems in a timely manner, enhancing customer satisfaction by appointing an expert to solve issues and queries, and the like. This study aims to examine the moderating effects of the firm size in the adoption of CRM in the Palestinian SMEs. A quantitative approach was used to investigate the relationships between the variables, which are compatibility, IT infrastructure, complexity, relative advantage, security, top management support, customer pressure, and competitive pressure. A questionnaire was designed to collect data from 420 SMEs in Palestine. A total of 331 respondents completed and returned the survey. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The Diffusion of Innovation Theory (DOI) and Technology, Organization, and Environment Framework (TOE) framework were employed to identify the determinant factors from the technological, organizational, and environmental perspectives. The findings and conclusions of this study provide show that the moderating effect of firm size has significant effect compatibility, top management support, customer pressure, and IT infrastructure factors.
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, particularly in emerging markets like Malaysia. The purpose of the study is to examine whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modelling (PLS-SEM) & Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-SEM approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model were extended with the inclusion of trust and personnel innovativeness. The model was further validated by introducing a new path model compared to the original UTAUT2 model and the moderating role of personal innovativeness between performance expectancy and price value, with a sample of 314 respondents. Contrary to previous technology adoption studies that used PLS-SEM & ANN as single-stage analysis, this study further enhanced the analysis by applying a deep learning-based dual-stage PLS-SEM and ANN method. The application of deep learning-based dual-stage PLS-SEM & ANN analysis is a novel methodological approach, detecting both linear and non-linear associations among constructs. At the same time, it is regarded as a superior statistical approach as compared to traditional hybrid shallow SEM & ANN single-stage analysis. Also, sensitivity analysis provides normalised importance using multi-layer perceptron with the feed-forward-back-propagation algorithm. Furthermore, the deep learning-based dual-stage PLS-SEM & ANN revealed that trust proved to be the strongest predictor in driving user intention. The introduction of this new methodology and the theoretical contribution opens the vistas of the extant body of knowledge in technology-adoption related literature. This study also provides theoretical, practical and methodological contributions.
OBJECTIVE: To review tobacco company strategies of using youth smoking prevention programmes to counteract the Malaysian government's tobacco control legislation and efforts in conducting research on youth to market to them.
METHODS: Systematic keyword and opportunistic website searches of formerly private internal industry documents. Search terms included Malay, cmtm, jaycees, YAS, and direct marketing; 195 relevant documents were identified for this paper.
RESULTS: Industry internal documents reveal that youth anti-smoking programmes were launched to offset the government's tobacco control legislation. The programme was seen as a strategy to lobby key politicians and bureaucrats for support in preventing the passage of legislation. However, the industry continued to conduct research on youth, targeted them in marketing, and considered the teenage market vital for its survival. Promotional activities targeting youth were also carried out such as sports, notably football and motor racing, and entertainment events and cash prizes. Small, affordable packs of cigarettes were crucial to reach new smokers.
CONCLUSION: The tobacco industry in Malaysia engaged in duplicitous conduct in regard to youth. By buying into the youth smoking issue it sought to move higher on the moral playing field and strengthen its relationship with government, while at the same time continuing to market to youth. There is no evidence that industry youth smoking prevention programmes were effective in reducing smoking; however, they were effective in diluting the government's tobacco control legislation.
To review how tobacco transnational companies conducted their business in the hostile environment of Singapore, attempting to counter some of the government's tobacco control measures; to compare the Malaysian and the Singaporean governments' stance on tobacco control and the direct bearing of this on the way the tobacco companies conduct their business.
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.
To examine the impact of tobacco advertising policy on adult smokers' awareness of tobacco promotion in two developing countries--Malaysia and Thailand.