Cost of quality: The hidden costs

Krishnan, Suresh Kumar; Agus, Arawati; Husain, Nooreha

doi:10.1080/09544120050008309

Cited by 25 publications

(14 citation statements)

References 5 publications

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“…Tax et al [26] have defined performance as the speed by which an organization reaches its goal. Many studies have discovered that organizational commitment is a predictor to issues such as employees’ absence from duty or resignation, and there is a negative correlation between organizational commitment and these issues [27]. This discovery shows that employees who are highly committed to the organization and are willing to devote more efforts to achieving the organizational goals tend to remain within the organization and assist the organization in gaining a high reputation [28,29].…”

Section: Introductionmentioning

confidence: 99%

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Chang

Chen

Lan

2012

BMC Med Inform Decis Mak

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BackgroundNo previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study.MethodsThe convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing.ResultsThe findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance.ConclusionsIt is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems.

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Section: Introductionmentioning

confidence: 99%

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Chang

Chen

Lan

2012

BMC Med Inform Decis Mak

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“…Moreover, Chiadamrong (2003) has concluded that there is a widespread belief that quality cost cannot be measured in practical terms because traditional cost accounting systems have not been adapted to quantify the value of quality. The need for quantifying cost of quality as stated by Yang (2008) and has been reported in the literature by many researchers, (Feigenbaum (1956);Juran (1952Juran ( , 1989; Krishnan et al (2000); Giakatis et al (2001); Prickett and Rapley (2001), Chen and Yang (2002). However, there are evidences in the literature that clearly indicate that quantifying cost of quality has been neglected by most of organization (Harry and Schroeder (2000) and Omachonu et al (2004)).…”

Section: Literature Reviewmentioning

confidence: 96%

Evaluating Quality Control Decisions: A Simulation Approach

Omar¹,

Murugan²

2011

Modern Approaches to Quality Control

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“…Therefore the prerequisite for anyone to use the quality cost systems and experienced the benefits of implementing costs of quality, one has to quantify the cost of quality first (Krishnan et. al., [4]). …”

Section: Introductionmentioning

confidence: 99%

Cost of quality model development, verification and validation

Omar

Murugan

2011

2011 IEEE International Conference on Quality and Reliability

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Undoubtedly simulation can help managers to enhance their decisions since it provide an opportunity to understand complex systems. In the case of quality control activities, simulation can be used to assist quality control managers to determine the cost involved to implement a specific quality control policy. Having said all that, one of the most challenging problems faced by the simulation modelling developer is the verification and validation aspects. This paper considers the model developed by [1] and explains a solution methodology carried by the authors to deal with the verification and validation aspects of the developed simulation model.

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Cost of quality: The hidden costs

Cited by 25 publications

References 5 publications

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Evaluating Quality Control Decisions: A Simulation Approach

Cost of quality model development, verification and validation

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