Malaysians are currently facing critical environmental issues and challenges. The research objective is to investigate the correlation between functional value (price), functional value (quality), symbolic value, emotional value, epistemic value as well as conditional value and customer purchase intention (PI) towards green cars in Malaysia. We explore theory of consumption values (TCV) in vehicular context to seek ways to increase green cars consumptions. We have chosen quantitative research design and used quota sampling to select target respondents. The questionnaire is used to collect data from Generation Y at auto shows in Kuala Lumpur (KL), Johor Bharu (JB), Klang, George Town and Ipoh. These study findings show that all values except functional value (price) and social value have significant relationships with customer PI towards green cars in Malaysia. This study contributes a vital insight and thus encourages local manufacturers to produce green cars consistently to reduce air pollution in Malaysia.

In the past decade, multiple researchers have focussed on various techniques and models of finished goods inventory, distribution and transportation. This paper emphasises the role of these processes in forward supply chain, according to their requirements and needs as they may occur, to expedite the process. This research is based on a qualitative approach. The study strives to find out and deduce the different segments of forward supply chain and the inter-relation between them. This paper gives a precise description of the usage of tools and techniques that may be most appropriate for the specific combination of multiple situations of forward supply chain of particular firm. As handling finished goods inventory is the initial step of forward supply chain processes and it is the most significant and extravagant factor in an industry as it amounts to 50% of the total capital investment. Then comes the distribution; another driver, which is the main component of contributing to a company's effectiveness and finally while transportation plays an integral part from the beginning to the end of a supply chain. This research paper is implied to the forward supply chain processes for which finished goods inventory and outbound logistics have been considered. The paper furnishes some realistic suggestions for the inventory, distribution and transportation managers regarding the selection of a feasible model as per their system requirements.

The purpose of this study is to determine the general behavioural and normative beliefs towards preferred sales promotion technique from the perspective of Malaysian consumers. Behavioural and normative beliefs towards preferred sales promotion technique are investigated so as to determine what contributes to attitude and subsequently behavioural intention towards a preferred sales promotion technique. This study utilised a two-stage methodologies, in which the first stage used an exploratory elicitation design and the second stage utilised a quantitative approach using descriptive and partial least square structural equation modelling. The findings from the second stage validate the findings from the earlier exploratory study stage conducted. The findings from this study have expanded the current knowledge and academic studies done on similar areas of research, where this research details the association of behavioural beliefs, normative beliefs of preferred sales promotion technique on consumers' attitude and behavioural intention towards it. This study suggests to managers in Malaysia that it is crucial to understand their customers' behavioural and normative beliefs towards preferred sales promotion technique for better market segmentation and targeting. This study is the first of its type where only a minimal number of studies have looked into these issues (behavioural beliefs, normative beliefs of preferred sales promotion technique) from a business perspective. This study therefore articulates the present view of preferred sales promotion technique within an emerging market such as Malaysia, and its implication to academia and business.

In the past decade, multiple researchers have focussed on various techniques and models of finished goods inventory, distribution and transportation. This paper emphasises the role of these processes in forward supply chain, according to their requirements and needs as they may occur, to expedite the process. This research is based on a qualitative approach. The study strives to find out and deduce the different segments of forward supply chain and the inter-relation between them. This paper gives a precise description of the usage of tools and techniques that may be most appropriate for the specific combination of multiple situations of forward supply chain of particular firm. As handling finished goods inventory is the initial step of forward supply chain processes and it is the most significant and extravagant factor in an industry as it amounts to 50% of the total capital investment. Then comes the distribution; another driver, which is the main component of contributing to a company's effectiveness and finally while transportation plays an integral part from the beginning to the end of a supply chain. This research paper is implied to the forward supply chain processes for which finished goods inventory and outbound logistics have been considered. The paper furnishes some realistic suggestions for the inventory, distribution and transportation managers regarding the selection of a feasible model as per their system requirements.

The study investigates the relationship between service quality and customer satisfaction of a popular tourist agricultural farm cafeteria. The five dimensions of service quality (SERVQUAL) were used to measure the customer's satisfaction level at KHM Strawberries and Jam Cafe. These include tangible, reliability, responsiveness, empathy and assurance. Multiple regression analyses were used to examine these relationships based on sample from 420 customers of the café. The results indicate that all SERVQUAL dimensions except responsiveness were important for increasing the level of customer's satisfaction. Assurance and empathy were found to be the most important dimensions for customer satisfaction, which in turn can influence the sale of the business. The findings provide evidence that service quality plays an important role for increasing the level of customer satisfaction, and helps scholars and managers to better understand the effect of service quality through which customer satisfaction benefits business sale. Finally, this study discusses managerial implications and highlights future research directions.

Mobile marketing (m-marketing) adoption has not been a preferred selection among consumers although the benefits are tremendous. As the cost of implementing the system can be expensive the study explores on the factors that influence the decision of consumers to adopt m-marketing. Using technology acceptance model (TAM), the framework was extended with social influence (SI), personal innovativeness in information technology (PIIT) and perceived enjoyment (PE). The data was collected from 108 users using self-administered questionnaire and subsequently tested using SmartPLS. Only PIIT is a non-significant construct based on the investigation. The findings bring significant benefits to marketers who wish to integrate m-marketing in their advertising budget. In addition, the study provides unprecedented methods in reaching to mobile consumers.

Data envelopment analysis (DEA) classic models suppose that the data for all inputs and outputs are accurate and determinate and DEA classic model has not defined for inaccurate and indeterminate data. But in the real world, most of the time, there are varieties of uncertainty in the models including interval, fuzzy, grey and probable. In this paper, a DEA multi-objective model is suggested in the grey environment for finding the common weights for decision-making units and computing the privilege of DMUs efficiency for the purpose of more accurate ranking. Finally, in order to assess the results, an example is offered for comparing DMUs ranking via DEA classic models and the presented model.

The design of a reconfigurable manufacturing system (RMS) revolves around product family which can cater all the variety within a product family and can be subsequently reconfigured to accommodate future products belonging to distinct product families. Keeping in view the high degree of customisation in the product design, it is being required to have modular structure of products to accommodate such customisation. Similarity measures for such modular products have not been considered in the past. The present paper proposed a novel technique for the product family formation in RMS based on multiple product similarities associated with modular products comprising of several parts. These similarities include modularity, reusability and commonality. Modularity is the degree to which a product is composed of autonomous modules; reusability is the ability to use the identical resources in dissimilar configurations without any change while the commonality is the property which is mainly concerned with the grouping of the products. A descriptive mathematical model for the calculation of similarities is presented demonstrated with the help of a numerical example and the similarity values obtained are depicted in the form of a dendrogram and are discussed in the light of some previous related works on the topic.

Successful implementation of marketing strategies is the most important managerial aspect in the strategic marketing process. Research related to marketing strategies implementation shows that most companies face barriers in implementing such strategies. Due to the importance of the issue as it is related to marketing and sales performance, the present study attempts to first identify the barriers to marketing strategies implementation using available literature, documents and experts' viewpoints in marketing and research departments, then rank them using the integration of quality function deployment (QFD) and fuzzy analytic network process (FANP) techniques. Fuzzy computation is considered as a great tool in dealing with uncertainty in various research processes. However, in comparison, there are few techniques which result in higher reliability and real world consistency. Using fuzzy tools managers can make better decisions which result in increased sales network and revenue, as well as enhanced market development. The findings of the present study indicate that managerial strategic barriers have significant priority and should increasingly be considered by organisations. This paper provides valuable insight into the significance of marketing strategies and offers a foundation for future marketing research.

The purpose of this research paper is to demonstrate the method for observing the customer preference of selected smartphones in the Indian market using technique for order preference by similarity to an ideal solution (TOPSIS). Customers’ preference is important for product design and development and also for market positioning of the competitive product. Although the accuracy of research of smartphone is based on a limited number of respondents from a particular section, i.e., elite class only because smartphones are mostly used by the high income group and educated people (computer and internet friendly). This study shows the market trend of smartphones in developing countries like India. The main limitation of this research is involvement of only a particular section of the customer. This method is limited to give the relative ranking of smartphones and not the absolute value of the rating. The originality of the paper is the incorporation of customer feedback on the ranking analysis of the phones using TOPSIS.