Linton University College

Linton, Malaysia

Linton University College

Linton, Malaysia
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Lee V.-H.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College | Chong A.Y.-L.,The University of Nottingham Ningbo, China | Seow C.,University of Chester
Expert Systems with Applications | Year: 2014

This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms' TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices. © 2014 Elsevier Ltd. All rights reserved.


Leong L.-Y.,University Tunku Abdul Rahman | Hew T.-S.,University of Malaya | Tan G.W.-H.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College
Expert Systems with Applications | Year: 2013

The main aim of this study is to determine the factors influencing the adoption of Near Field Communication (NFC)-enabled mobile credit card, an innovation in contactless payment for the future generation. Constructs from psychological science, trust-based and behavioral control theories were incorporated into the parsimonious TAM. Using empirical data and Structural Equation Modeling-Artificial Neural Networks approach together with multi group analysis, the effects of social influence, personal innovativeness in information technology, trust, perceived financial cost, perceived usefulness and perceived ease of use were examined. The significance of indirect effects was examined using the bias-corrected percentile with two-tailed significance through bootstrapping. Gender, age, experience and usage were introduced as the moderator variables with industry being the control variable in the research model. The scarcity in studies regarding the moderating effects of these variables warranted the needs to further investigate their impacts. The mediating effect of perceived usefulness was examined using the Baron-Kenny's technique. The findings of this study have provided invaluable theoretical, methodological and managerial implications and will contribute to the decision making process by CEOs, managers, manufacturers and policy makers from the mobile manufacturing industry, businesses and financial institutions, mobile commerce, mobile telecommunication providers, mobile marketers, private or government practitioners and etc.© 2013 Elsevier Ltd. All rights reserved.


Lee V.-H.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College | Chong A.Y.-L.,The University of Nottingham Ningbo, China | Lin B.,Louisiana State University in Shreveport
Production Planning and Control | Year: 2015

A clear research need has been identified to confirm the structural relationships between greening the supplier, enhanced environmental performance and improved competitive advantage, to provide an impetus for firms to green their suppliers. A mail survey was conducted and empirical data of 119 ISO 14001 manufacturing firms in Malaysia was gathered for this study. Structural equation modelling technique was applied in this research article. Results from the analysis, reveal the existence of a positive and significant linkage between green suppliers with both environmental performance and competitive advantage. At the same time, environmental performance has also been shown to positively and significantly affect competitive advantage; while environmental performance plays a partial mediating role between greening the supplier and competitiveness. Such significant finding is especially essential for the manufacturing sector registered with ISO 14001 who intend to enhance their environmental performance and carve a niche competitive edge in the business arena. © 2013 Taylor & Francis.


Tan G.W.-H.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College | Leong L.-Y.,University Tunku Abdul Rahman | Lin B.,Louisiana State University in Shreveport
Computers in Human Behavior | Year: 2014

This study empirically investigates on the elements that affect the user's intention to adopt mobile learning (m-learning) using a hybrid Structural Equation Modeling-Artificial Neural Networks (SEM-ANN) approach. A feed-forward-back-propagation multi-layer perceptron ANN with the significant determinants from SEM as the input units and the Root Mean Square of Errors (RMSE) indicated that the ANN achieved high prediction accuracy. All determinants are relevant and their normalized importance was examined through sensitivity analysis. The explanation on new computer technologies acceptance have been primarily based on the Technology Acceptance Model (TAM). Since TAM omits the psychological science constructs, the study address the weaknesses by incorporating two additional constructs, namely the personal innovativeness in information technology (PIIT) and social influences (SI). Out of the 400 survey distributed to mobile users, 216 usable questionnaires were returned. The results uncovered that the intention to adopt m-learning has significant relationship with TAM. The findings for PIIT, SI and the control variables of age, gender and academic qualifications however show mixed results. The results provide valuable information for mobile manufacturers, service providers, educational institutions and governments when strategizing their adoption strategies. Additionally, from the perspective of an emerging market, the study has successfully extended TAM with psychological constructs. © 2014 Elsevier Ltd. All rights reserved.


Tan G.W.-H.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College | Chong S.-C.,Finance Accreditation Agency | Hew T.-S.,University of Malaya
Telematics and Informatics | Year: 2014

With the advancement of mobile devices and the emergence of Near Field Communication (NFC) technology, payment today is a mere wave-of-the-phone. However, the adoption of mobile credit card (MCC) is still not widespread despite its potential as documented. Premised on this, the study extends the Technology Acceptance Model (TAM) with four additional constructs. The moderating effect of gender was also examined. Data collected from 156 respondents were analyzed using Structural Equation Modeling (SEM) and multi group analysis. Cohen's f-square statistic for effect size is 0.815. The results revealed that only finance-related risks and the moderating effect of gender are the non-significant factors in this study. The research provides useful theoretical and managerial implications for mobile phone manufacturers, merchants, bank decision makers, software developers, governments and private practitioners when devising their marketing campaigns and business strategies. The study also extends the applicability of TAM in the area of MCC from the perspective of an emerging market. © 2013 Elsevier Ltd. All rights reserved.


Sim J.-J.,University Tunku Abdul Rahman | Tan G.W.-H.,University Tunku Abdul Rahman | Wong J.C.J.,Linton University College | Ooi K.-B.,Linton University College | Hew T.-S.,University of Malaya
Telematics and Informatics | Year: 2014

The adoption level of digital music is still at its formative stage although the adoption renders advantageous to consumers. Therefore, the study develops a model to predict on the motivation leading to consumer's intention to adopt mobile music services by extending Perceived Cost (PC), Perceived Credibility (PCr), Social Influence (SI), and Personal Innovativeness (INNO) with Technology Acceptance Model (TAM). 160 Respondents were tested using a multi-stage Multiple Regression Analysis (MRA) and Artificial Neural Network (ANN) approach. A non-linear non-compensatory Multi Layer Perceptron (MLP) ANN with feed-forward back-propagation algorithm and ten cross-validation neural networks was deployed in order to capture the motivators of mobile music adoption. All predictor variables were found to have relevance to the output neuron based on the non-zero synaptic weights connected to the hidden neurons. The RMSE values indicated that the ANN models were able to predict the motivators with very high accuracy. The ANN models have out-performed the MRA models as they are able to capture the non-linear relationships between the predictor and criterion variables. While the study found that TAM is a significant predictor, the insignificance linear relationships of PCr and INNO requires further investigation. The music industry can use the findings from this study beneficially to the development of mobile music adoption. © 2014 Elsevier Ltd. All rights reserved.


Wong C.-H.,Wawasan Open University | Tan G.W.-H.,University Tunku Abdul Rahman | Loke S.-P.,University Technology of MARA | Ooi K.-B.,Linton University College
Industrial Management and Data Systems | Year: 2014

Purpose - While mobile TV (m-TV) is beneficial and is currently an emerging area within mobile commerce, the adoption rate is at the infancy stage. The purpose of this paper is therefore to adapt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to explore on the factors in predicting users' behavioral intention (BI) of m-TV.Design/methodology/approach - Partial least square structural equation modeling approach was employed using 193 respondents to test the findings.Findings - The findings revealed that effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HT) have significant effects on BI. In addition, gender was found to have moderating effect between FC and BI.Practical implications - Findings from this study provide valuable insights and contribute to the marketing strategy for mobile marketers, wireless communications vendors and application developers in the m-TV industry.Originality/value - Since the emergence of m-TV is regarded as a new concept, what factors that may motivate users to watch TV using m-devices remains unexplored and therefore is currently a neglected research area. This paper provides clues and valuable insights for mobile marketers, wireless communications vendors and application developers in the m-TV industry. © Emerald Group Publishing Limited.


Leong L.-Y.,University Tunku Abdul Rahman | Ooi K.-B.,Linton University College | Chong A.Y.-L.,The University of Nottingham Ningbo, China | Lin B.,Louisiana State University in Shreveport
Computers in Human Behavior | Year: 2013

This research aims to empirically examine the stimulators that influence consumers' behavioral intention to use (IU) mobile entertainment (ME) in Malaysia. The proposed stimulators are perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), perceived self-efficacy (PSE) and perceived enjoyment (PE). PU and PEOU were derived from TAM, SI was taken from the TRA, TPB and DOI model, PE was obtained from the extended-TAM model and PSE was taken from Bandura's theory. This is among the first study that uses a model consisting of integrated constructs from TAM, extended-TAM, TRA, TPB, DOI and Bandura's theory in predicting acceptance of ME. Empirical data were analyzed by employing Structural Equation Modeling (SEM) analysis. Gender moderating effect was examined via multiple group analysis (MGA). The findings revealed that PU, PEOU, SI and PE are positively associated with consumer IU of ME. Surprisingly, there were no significant moderating effects of gender. The control variables (i.e. age, marital status, education level, number of mobile phone and experience) were found to have no confounding effects on the ME adoption. The findings have contributed theoretical and managerial implications to ME providers, mobile phone manufacturers, the music, movie and gaming industry players. © 2013 Elsevier Ltd. All rights reserved.


Arif M.,University of Salford | Goulding J.,University of Central Lancashire | Rahimian F.P.,Linton University College
Journal of Architectural Engineering | Year: 2012

TG74 is a task group consisting of researchers, academics, and practitioners associated with manufactured construction research, teaching, and practice. The purpose of this workshop was to develop the research agenda for off-site construction, with a particular emphasis on short- to medium-term priorities. The initial nine areas proposed for the workshop were developed over a period of six months with academics and practitioners. This culminated in three online conference validation sessions hosted over the Internet. The practitioners occupied senior positions in industry, such as the chief executive officer, head of research and development for a manufactured construction company, head of project management of a large construction company, and a senior partner from a leading consultancy firm. The first area covered during discussions was design technology. Both groups were of the view that this was an important area. However, in order for organizations to implement this effectively, they needed to have a good understanding of the design process.


Ooi K.-B.,Linton University College
Expert Systems with Applications | Year: 2014

This study aims to examine the multi-dimensional relationship of total quality management (TQM) and knowledge management (KM) in both service and manufacturing firms in Malaysia. Six key practices of TQM originated from the Malcolm Baldrige National Quality Award (MBNQA) were chosen; whereas the KM elements were made up of knowledge acquisition, distribution and application. Data were gathered from small, medium and large firms from both manufacturing and service sectors. Structural analysis was carried out for the hypotheses and the theoretical model testing. Findings show that strategic planning and human resource management have a positive and significant relationship with the dimensions of KM; whereas process management has significant effects on knowledge acquisition and knowledge distribution. Practically, the findings provide a useful direction for the management team in the manufacturing and service sectors by adopting the relevant TQM practices to further improve the firms' knowledge management processes. Through a deeper comprehension on the association between TQM practices and the KM dimensions, the management team of these firms can focus their attention, efforts and resources on the specific TQM practices that can ensure successful KM process. ©2014 Elsevier Ltd. All rights reserved.

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