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1 – 10 of 39Kwai‐Sang Chin, Gary K.K. Poon and Kit‐Fai Pun
ISO 9000 is now a widespread quality management practice in Hong Kong manufacturing industries. There is a pressing need to investigate the critical success factors that can help…
Abstract
ISO 9000 is now a widespread quality management practice in Hong Kong manufacturing industries. There is a pressing need to investigate the critical success factors that can help those ISO 9000 registered companies to plan for the continuous maintenance and improvement of their quality systems. With this in mind, the authors have recently conducted a study to identify the critical issues of ISO 9000 maintenance in the Hong Kong electronics manufacturing industry. This paper presents the critical maintenance issues identified during the course of this study, which could facilitate the manufacturers in maintaining their ISO 9000 quality systems. The findings will be of use to the Hong Kong electronics manufacturing industry and will provide a good reference to other industries and other countries as well.
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Victor M.Y. Lam, Gary K.K. Poon and K.S. Chin
Both the total quality management (TQM) and learning organization (LO) appear to be promising approaches for organizational transformation towards a more effective, efficient, and…
Abstract
Both the total quality management (TQM) and learning organization (LO) appear to be promising approaches for organizational transformation towards a more effective, efficient, and responsive organization in the past. The evolutionary development and theory supports for these two fields are distinct but they appear to have more in common than they have in distinctiveness. However, there is little synergy developed between these two fields both in academic research and industrial applications. It is possibly due to the facxt that both the academia and industry are taking a limiting polarized view of TQM and LO and hence not getting the benefits of linking the two. This paper tries to establish a link between the organizational learning capability and the quality culture for TQM implementation based on a case study on the largest vocational education institution, the Vocational Training Council, of Hong Kong. The study reveals that there is a strong positive correlation between organizational learning capability and quality culture. The exploratory explanations for the links between the organizational learning capability constructs and the quality culture constructs are also discussed in this paper. The findings of the study support other literatures that TQM should be embedded in LO and serves as an enabler for organizational learning (OL) in transforming and creating organizations which continuously expand their abilities to change and shape their future.
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Gary K.K. Poon and D.J. Williams
The objectives of this research are to model the screening process with planned experiments and to identify the optimal setting of the process parameters so as to minimize the…
Abstract
The objectives of this research are to model the screening process with planned experiments and to identify the optimal setting of the process parameters so as to minimize the printing defects. The percentage volume matching (PVM) and defects per unit (DPU) are the two quality characteristics of interest. A fractional factorial design was employed to study simultaneously the effects of eight process factors on the PVM and DPU and their possible interactions. Subsequent analysis shows that a low level of the stencil cleaning interval and low temperature results in the minimum DPU while maintaining a PVM very close to 100 per cent. Empirical relationships between these two quality characteristics and the important factors were formulated using regression analysis and close matches were found during subsequent validation experiments.
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M.Y. Lam, Gary K.K. Poon and K.S. Chin
The purpose of this paper is to try to establish a relationship between organizational learning capability (OLC) and TQM culture (TC) based on a case study of a leading vocational…
Abstract
Purpose
The purpose of this paper is to try to establish a relationship between organizational learning capability (OLC) and TQM culture (TC) based on a case study of a leading vocational education institution of Hong Kong, and to develop an organizational learning transformation model for vocational education in the context of TQM culture.
Design/methodology/approach
The linkage between OLC and TC constructs is established and confirmed statistically by a structured questionnaire survey. Key TC constructs are then identified and prioritized using analytic hierarchy process (AHP) based interview, focus group, and ethnographic study to formulate an empirical TQM culture based OL transformation model for vocational education. Finally, the validity and effectiveness of the model is verified through an actual implementation case.
Findings
Strong positive correlation is found between the OLC and TC constructs, while shared vision, long‐term focus, and teacher involvement are identified to be the key TC constructs that can have significant impact on OLC in vocational education. It also confirms that rules orientation prohibits the creation of TQM culture, while innovative leadership does nurture its formation. An empirical TQM culture based OL transformation model for vocational education is formulated and subsequently tested through an implementation case. The result confirms that the model can effectively facilitate a transition of a traditional vocational education institution towards a learning organization for organizational excellence.
Originality/value
Although the evolutionary development and theory supports for TQM and Organizational Learning (OL) are distinct, they appear to have more in common than they have in distinctiveness. However, there is little synergy developed between these two fields so far both in academia and industry. The paper establishes a theoretically informed and statistically confirmed organizational learning transformation model for vocational education in the context of TQM culture.
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Gary John Rangel, Jason Wei Jian Ng., Thangarajah Thiyagarajan Murugasu and Wai Ching Poon
The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the…
Abstract
Purpose
The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.
Design/methodology/approach
This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.
Findings
The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.
Practical implications
Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.
Originality/value
This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.
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Gary John Rangel, Jason Wei Jian Ng, Thangarajah Thiyagarajan Murugasu and Wai Ching Poon
The purpose of this paper is to measure the long-run housing affordability of Malaysia over time for households at various income levels and to demonstrate how short- and long-run…
Abstract
Purpose
The purpose of this paper is to measure the long-run housing affordability of Malaysia over time for households at various income levels and to demonstrate how short- and long-run affordability measures can reach contradicting conclusions.
Design/methodology/approach
In this study, a long-run housing affordability index (HAI) for Malaysia was constructed for the sample period 1995 to 2014, using data from house prices and household incomes. The HAI was also modified to compute a mortgage affordability index (MAI) to account for intergenerational transfers.
Findings
The results show that households at the 25th income percentile cannot afford any of the four dwelling types in Malaysia. For households at the 40th income percentile and the median income levels, high-rise and terrace housing are affordable. However, significant downward trends in HAI and MAI are documented beginning 2009, which indicates increasing housing stress for households at or below the median income. The short-run affordability measure represented by the median multiple (MM) indicator showed bleaker conclusion for housing affordability, with all dwelling types considered unaffordable over the entire sample period
Practical implications
On the basis of the empirical results, this paper provided several long-term proposals to ameliorate the housing affordability problem in Malaysia.
Originality/value
With the MM ratio being the official affordability measure reported for Malaysia, this study introduces the nation’s first long-run housing affordability measure. It is hoped that this long-run measure will achieve widespread adoption in Malaysia. Given the deteriorating long-term affordability, this study offers several possible long-term solutions.
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Gary M. Fleischman, Eric N. Johnson and Kenton B. Walker
Purpose: We examined whether the five-service quality dimensions described by SERVQUAL (SQ) and SERVPERF (SP) are consistent with perceived dimensions of management accounting…
Abstract
Purpose: We examined whether the five-service quality dimensions described by SERVQUAL (SQ) and SERVPERF (SP) are consistent with perceived dimensions of management accounting (MA) service quality and we compared responses from users and providers.
Design/methodology/approach: We surveyed experienced providers and users of MA services to learn their perceptions and expectations of accounting service quality using SQ/SP adapted to an MA context. We used principal components analysis (PCA) to investigate service quality dimensions.
Findings: Participant responses identified three dimensions of MA service quality. There was a high degree of correspondence in dimensions of service quality between users and providers, but with notable differences in service priorities. A performance-only (SP) approach seems to provide a better measure of overall service quality than performance minus expectations (SQ).
Research limitations/implications: Participants self-selected to participate. Respondents were not matched by organization. The SQ/SP instrument may not capture important organization specific attributes. Our approach may serve as a guide for future studies of accounting service quality.
Practical implications: SP may be more useful to managers who wish to evaluate overall service quality. SQ may be more useful to identify specific gaps between user perceptions and expectations. SQ/SP assessments may help to improve the quality of MA service delivery and provider-user communications.
Originality/value: This is the first empirical study to our knowledge that reports on MA service quality dimensions using both the SQ and SP instruments. This study investigated perceptions and expectations of MA service users and providers. Our sample is a cross-section of experienced professionals.
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Michiel de Pooter, Francesco Ravazzolo, Rene Segers and Herman K. van Dijk
Several lessons learnt from a Bayesian analysis of basic macroeconomic time-series models are presented for the situation where some model parameters have substantial posterior…
Abstract
Several lessons learnt from a Bayesian analysis of basic macroeconomic time-series models are presented for the situation where some model parameters have substantial posterior probability near the boundary of the parameter region. This feature refers to near-instability within dynamic models, to forecasting with near-random walk models and to clustering of several economic series in a small number of groups within a data panel. Two canonical models are used: a linear regression model with autocorrelation and a simple variance components model. Several well-known time-series models like unit root and error correction models and further state space and panel data models are shown to be simple generalizations of these two canonical models for the purpose of posterior inference. A Bayesian model averaging procedure is presented in order to deal with models with substantial probability both near and at the boundary of the parameter region. Analytical, graphical, and empirical results using U.S. macroeconomic data, in particular on GDP growth, are presented.
Gül Seçkin, Susan Hughes, Cassie Hudson, David Laljer and Dale Yeatts
Purpose: The aim of the study is to consider the use of the Internet as a potential facilitator of positive health-related perceptions. Specifically, we propose that online health…
Abstract
Purpose: The aim of the study is to consider the use of the Internet as a potential facilitator of positive health-related perceptions. Specifically, we propose that online health information seeking fosters positive perceptions of health. Using path modeling, we theorized several mechanisms through which information seeking could be conducive to positive health perceptions, which we conceptualized into the following four dimensions: (1) sense of empowerment in managing health, (2) self-reported ability to take better care of health, (3) sense of improved health-related quality of life, and (4) self-reported improvement of health.
Methodology: Our sample consisted of respondents who have used the Internet as a resource for health information (n = 710), drawn from the largest national probability-based online research panel. Our comparison subsample consisted of older respondents (age ≥ 60; n = 194). We used Internet-specific measures and employed structural equation models (SEM) to estimate the direct, indirect, and total effects of health-related use of the Internet on subjective health perceptions. Based on our review of the literature, competent health communication with healthcare providers and sense of empowerment in managing personal health were modeled as mediator variables. We assessed whether the proposed mediational relationships, if significant, differed across our indicators of positive health perceptions and whether any differential associations were observed among older adults. We run parallel models for each indicator of positive health perception.
Findings: Provider-patient communication informed by the Internet resources were perceived to impart a greater sense of empowerment to manage health among our respondents, which in turn, was associated with perceived contributions to better self-reported ability to provide self-care, increased health-related quality of life, and improvement in self-reported health. The SEM results revealed a good fit with our full sample and subsample.
Research Implications: Conceptualization of the multidimensional aspects of online health information seeking with separate multi-indicator analyses of the outcome variable is important to further our understanding of how technology may impact the pathways involved in influencing health perceptions and as a result health outcomes.
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Cathy W.S. Chen, Richard Gerlach and Mike K.P. So
It is well known that volatility asymmetry exists in financial markets. This paper reviews and investigates recently developed techniques for Bayesian estimation and model…
Abstract
It is well known that volatility asymmetry exists in financial markets. This paper reviews and investigates recently developed techniques for Bayesian estimation and model selection applied to a large group of modern asymmetric heteroskedastic models. These include the GJR-GARCH, threshold autoregression with GARCH errors, TGARCH, and double threshold heteroskedastic model with auxiliary threshold variables. Further, we briefly review recent methods for Bayesian model selection, such as, reversible-jump Markov chain Monte Carlo, Monte Carlo estimation via independent sampling from each model, and importance sampling methods. Seven heteroskedastic models are then compared, for three long series of daily Asian market returns, in a model selection study illustrating the preferred model selection method. Major evidence of nonlinearity in mean and volatility is found, with the preferred model having a weighted threshold variable of local and international market news.