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Article
Publication date: 1 June 2012

Mohammad Alomari, Peter Woods and Kuldeep Sandhu

This paper aims to engage with the growing debate on the factors that affect e‐government adoption in the developing country of Jordan. The change from traditional…

Abstract

Purpose

This paper aims to engage with the growing debate on the factors that affect e‐government adoption in the developing country of Jordan. The change from traditional interactions between government and citizens in Jordan to interaction via the web needs further exploration in order to understand the factors that might affect e‐government adoption by citizens. This paper therefore aims to report on a study to identify the main factors that influence citizens' intention to adopt e‐government websites in Jordan, using a theoretical framework consisting of diffusion of innovation theory (DOI) and the technology acceptance model (TAM).

Design/methodology/approach

A survey study of 400 Jordanian citizens who were internet users investigated the influence of the aforementioned factors on the adoption and use of e‐government websites. Multiple regression analysis was used to test the hypotheses.

Findings

Contrary to previous research, trust in the internet, relative advantage, compatibility and perceived ease of use were not found to be significant predictors of intention to use e‐government websites. Trust in government, website design, beliefs, complexity and perceived usefulness were significant factors in Jordanian citizens' intention to use e‐government websites.

Originality/value

This study is one of the few to examine what influences adoption and use of e‐government websites by citizens in the Middle East. The study clearly identifies the relationship between the constructs of “beliefs” (religious views) and website design and e‐government adoption, and explores the influence of attitudes towards e‐government adoption in Jordan. Although previous studies show similarities between the constructs related to DOI (relative advantage and complexity) and those related to TAM (perceived usefulness (PU) and perceived ease of use (PEoU)), this research shows the importance of including these constructs when considering the topic of e‐government adoption in a Middle Eastern country.

Details

Information Technology & People, vol. 25 no. 2
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 7 June 2011

H.S. Hassan, E. Shehab and J. Peppard

This paper aims to thoroughly review the research literature concerning e‐service in the public sector (2000‐2009) for the purpose of summarising and synthesising the…

Abstract

Purpose

This paper aims to thoroughly review the research literature concerning e‐service in the public sector (2000‐2009) for the purpose of summarising and synthesising the arguments and ideas of the main contributors to the development of e‐service research and explore the different perspectives. In addition, the paper attempts to identify the key characteristics of e‐service; and to gather conceptual perspectives on the nature, scope, and transformation to e‐service.

Design/methodology/approach

A classification of the relevant publications that are concerned with the theory and application of e‐service is presented together with potential future research areas.

Findings

Most of the literature has focused on the underlying perspectives of approaches to e‐service. It clearly acknowledges that contextual issues and factors influence e‐service. However, there is still no standard definition of the concept and vagueness about what exactly e‐service is, creating confusion and comparability issues, and making it difficult for researchers to build on each others' work. In addition, the key underlying theme throughout the literature is that e‐service in the public sector necessitates closer working relationships between government stakeholders.

Originality/value

By reviewing the relevant publications, the paper develops a clear articulation of the concept, nature, boundaries, components, and elements of e‐service which is significant in order to understand the e‐service research better and manage e‐service in the public sector. With a rapid growth in the volume of research output on the topic of e‐service, the paper considers different viewpoints, theories, and methods in e‐service research to date to draw conclusions about current status and possible future directions for e‐service in the public sector.

Details

Business Process Management Journal, vol. 17 no. 3
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 11 November 2013

Florence Yean Yng Ling and Wan Theng Ang

The purpose of this paper is to identify control systems that give rise to better construction project performance; and develop and test project performance predictive…

Abstract

Purpose

The purpose of this paper is to identify control systems that give rise to better construction project performance; and develop and test project performance predictive models based on control systems adopted in the project.

Design/methodology/approach

Research design was questionnaire survey. Data were collected via Electronic mails. The sampling frame was Singapore-based construction firms.

Findings

In all, 16 control mechanisms are significantly correlated with project outcomes. The more important control mechanisms are: adequacy of project information to develop the project schedule; adequacy of float in the schedule; and quality of techniques used to support risk identification. Two relatively robust predictive models were constructed and validated to predict schedule and quality outcomes of construction projects. Schedule performance may be predicted by adequacy of float and stringency of criteria to select suppliers. Quality outcome is most significantly affected by competency of quality manager, rather than the hard systems adopted in the project.

Research limitations/implications

The limitations include low response rate, and subjective nature of the five-point Likert scale used to rate project outcomes and extent to which control mechanisms were adopted in the project.

Practical implications

The implication of the findings is that merely having good project management practices and adequate resources are not sufficient to achieve good project outcomes. Instead, construction projects need to have control systems in place, as they play an important role in project outcomes.

Originality/value

The paper has shown empirically that control systems affect project outcomes. They are needed not just to control the project, but also help the project to achieve good outcomes. The research designed and tested two relatively robust models to predict schedule and quality outcomes of a project. These models may be used to make an initial assessment of the project's likely outcome, based on the control systems that contractors are going to adopt.

Details

Engineering, Construction and Architectural Management, vol. 20 no. 6
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 30 March 2010

E. Vassilakis and G. Besseris

The purpose of this paper is to provide a relatively straightforward approach of implementing standard statistical process control (SPC) concepts while instituting…

Abstract

Purpose

The purpose of this paper is to provide a relatively straightforward approach of implementing standard statistical process control (SPC) concepts while instituting problem‐solving intonations in aero‐engine maintenance processes.

Design/methodology/approach

The inspection workflow approach is presented in order to aid in collecting and monitoring critical aero‐engine data. Observed defects are categorized according to a Pareto analysis assisted by a cause‐and‐effect diagram. A binomial process capability analysis is performed on nonconforming aero‐engines based on operating curves produced specifically for this case study. The time frame for experimental analysis is reflected in a span of six months.

Findings

It is found that a significant number of aero‐engines may be benefited by entering a more progressive maintenance program relying on predictive maintenance on the way to establishing a more effective Total Productive Maintenance scheme.

Research limitations/implications

The case study showcases an approach to aero‐engine rejection statistical rates by accepting the fact that maintenance process may not be viewed as a process that may be limited to constant sampling.

Practical implications

For a long time, total quality management (TQM) tools have been deeply rooted in design, manufacturing and assembling of airliners and jet fighters alike. However, a comprehensive study focusing on the maintenance function of such complex machines may prove worthwhile now that an unstable global economy may prohibit extensive replacement of aging flying fleets.

Originality/value

With the lack of a prior practical unfolding in the field of genuine aero‐engine maintenance, this presentation aims to fill in the gap for engine rejection treatment. The variant operating curve notion introduced in the text is also a unique idea espoused for variable sampling situations when a binomial distribution is adopted.

Details

Journal of Quality in Maintenance Engineering, vol. 16 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 11 November 2014

Rajiv Sharma and Manjeet Kharub

The purpose of this paper is to provide a conceptual framework which connects theory with straightforward application of statistical process control (SPC) in discovering…

Abstract

Purpose

The purpose of this paper is to provide a conceptual framework which connects theory with straightforward application of statistical process control (SPC) in discovering and analyzing causes of variation to eliminate quality problems, which not only helps small and medium enterprises (SMEs) to improve their processes but also helps to attain competitive positioning.

Design/methodology/approach

Based on theory and methodological framework, an experimental study has been presented. Use of histograms, X (bar) and R control charts and process capability plots and cause-and-effect diagrams have been made to analyse the assignable causes. A case from an SME engaged in machining of automotive parts is investigated.

Findings

The results demonstrate the effectiveness of SPC in evaluating and eliminating quality problems. The machine capability (CP) and the process capability (CPk) values are also obtained to know inherent variation in the process. If these quality tools are applied with management support and apt knowledge, attained through proper training and motivation, then in this cut-throat competitive world, SMEs can establish their market position by enhancing the quality and productivity of their products/processes.

Practical limitations/implications

From the study, the authors conclude that application of SPC requires thorough preparation, management commitment and human resource management through proper training, teamwork and motivation embedded with a sound measurement and control system.

Originality/value

The present study bridges the gap between theory and practice by developing a conceptual framework and providing a practical support by illustrating a case from an SME engaged in machining of automotive parts.

Details

Measuring Business Excellence, vol. 18 no. 4
Type: Research Article
ISSN: 1368-3047

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Article
Publication date: 27 March 2009

E. Vassilakis and G. Besseris

Devoted to a description and evaluation of a selected maintenance process (assembly) at the aero‐engines maintenance unit of a large aerospace company by implementation of…

Abstract

Purpose

Devoted to a description and evaluation of a selected maintenance process (assembly) at the aero‐engines maintenance unit of a large aerospace company by implementation of TQM tools, this paper attempts to identify the causes behind the defect observed and form the scientific platform for initiatives in a TQM‐governed enterprise and to broaden the principles of TQM for the selected process, prior to moving to a more structured plan that will include the entire unit.

Design/methodology/approach

Process monitoring and evaluation are organised by an application of control charts in order to provide vital information regarding the level of control in the selected process. Quality control data are contrasted with component specifications by employing control charts to provide a metric for the level of the process capability index. As a result a Fishbone diagram is constructed to identify existing interrelations between the causes responsible for the defect observed.

Findings

The maintenance process selected was the assembly process of an aero‐engine module (exhaust nozzle unit) at the aero‐engines maintenance unit of a large aerospace company. Process evaluation by means of multivariate control charts and tolerance analysis exhibited poor results. It was observed that certain measurement stations were out of control, whilst low actual capability index values were exhibited in others..

Research limitations/implications

Process monitoring and evaluation carried out for the purposes of the present study had the form of an off‐line tool. The paper shows that the aero‐engines maintenance unit had no infrastructure for an online process control and monitoring system. Consequently, performed analysis indicated that the implied assembly process was inadequately implemented. As a result, the maintained assembly units were out of stated specifications limits.

Originality/value

The study contributes to the literature on TQM in the aerospace maintenance business.

Details

Journal of Quality in Maintenance Engineering, vol. 15 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 4 January 2013

George J. Besseris

The purpose of this paper is to propose a methodology that may assist quality professionals in assessing process variation with a combination of tools based on simple…

Abstract

Purpose

The purpose of this paper is to propose a methodology that may assist quality professionals in assessing process variation with a combination of tools based on simple robust statistics. The technique targets alternative way of screening and detection of common and special causes in individuals' control charts (ICC).

Design/methodology/approach

The technique is using the classical box plot to detect and filter out outliers attributed to special causes. Then, the runs test is used to partition the data streak at points where the p‐value exceeds an assigned critical value. The transition between partitions is where the onset of a common cause is suspected.

Findings

The approach presented is supplemented with a case study from foundry operations in large‐scale can‐making operations. It is demonstrated how the magnesium content of an aluminium alloy is trimmed against special causes and then the location of the common causes is identified in a step‐by‐step fashion.

Research limitations/implications

The proposed method is useful when the collected data do not seem to comply with a known reference distribution. Since it is rare that an initial monitoring of a process will abide to normality, this technique saves time in recycling control charting which point often to misleading assignable causes. This is because the outliers are identified through the box plot one and out.

Practical implications

The technique identifies and eliminates quickly the off‐shoot values that tend to cause major instability in a process. Moreover, the onset for non‐assignable data points is detected in an expedient fashion without the need to remodel each time the inspected data series or to test against a score of multifarious test rules. The ingredients of the method have been well researched in the past, therefore, they may be implemented immediately without a further need to prove their worth.

Originality/value

The method mixes up two distinctive robust tools in a unique manner to aid quality monitoring to become fortified against data model inconsistencies. The technique is suitable for controlling processes that generate numerical readings. As such, the approach is projected to be useful for industrial as well as service operations.

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Article
Publication date: 5 August 2014

George Besseris

The purpose of this paper is to propose a set of process capability indices (PCIs) which are based on robust and agile statistics such that they may be applicable…

Abstract

Purpose

The purpose of this paper is to propose a set of process capability indices (PCIs) which are based on robust and agile statistics such that they may be applicable irrespective of the process status.

Design/methodology/approach

The four popular PCIs – Cp, Cpk, Cpm and Cpmk – are reconstructed to improve location and dispersion predictions by introducing robust estimators such as the median and the interquartile range. The proposed PCIs are sequentially evaluated in partitioned regions where fluctuations are inspected to be not significant. The runs test playing the role of a detector permits marking those regions between two consecutive appearances of causes that disrupt data randomness. Wilcoxon's one-sample test is utilized to approximate PCI's central tendency and its confidence interval across all formed partitions.

Findings

The Cpmk depicted the most conservative view of the process status when tracking the magnesium content in a showcased aluminum manufacturing paradigm. Cp and Cpk were benchmarked with controlled random data. It was found that the proposed set of robust PCIs are substantially less prone to false alarm in predicting non-conforming units in comparison to the regular PCIs.

Originality/value

The recommended method for estimating PCIs is purely distribution-free and thus deployable at any process maturity level. The advantageous approach defends vigorously against the influence of intruding sources of unknown and unknowable variability. Therefore, the predicament here is to protect the monitoring indicators from unforeseen data instability and breakdown, which are conspicuous in wreaking havoc in managerial decisions.

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Article
Publication date: 29 April 2014

Pratima Mishra and Rajiv Kumar Sharma

The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers+define, measure, analyze, improve and control (SIPOC+DMAIC)…

Abstract

Purpose

The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers+define, measure, analyze, improve and control (SIPOC+DMAIC)) aimed at improving supply chain management (SCM) process dimensions in a supply chain (SC) network.

Design/methodology/approach

Based upon the critical review of literature, process dimensions (average outgoing quality limit (AOQL), average outgoing quality (AOQ), process Z, defect per million opportunity) critical to SCM performance were identified. A framework consisting of three phases, i.e., design, implementation and results has been conceptualized and a case from paint industry is investigated. Implementation framework makes use of SIPOC model and Six Sigma DMAIC methodology. The goals of the study were achieved by using Six Sigma tools such as brainstorming sessions; root cause analysis, histograms, statistical tools such as control charts and process capability analysis.

Findings

Authors made an attempt to propose a conceptual framework for improving process dimensions in a SC network. It is observed from the results that selection of appropriate strategies for improving process performance based upon experiences, and use of statistical tools by cross-functional teams with an effective coordination, guarantees success. Metrics such as AOQL shows the maximum worst possible defective or defect rate for the AOQ. Process Z helps to know about sigma capability of the process.

Research limitations/implications

The framework so developed is tested in a single company manufacturing batches of paint. The study has important implications for the industry since it tries to integrate SCM process dimensions which would help in successful implementation of SCM practices in firm by following the DMAIC process. The framework enables the practitioners to investigate the process and demonstrate improvements using DMAIC which makes use of statistical tools.

Originality/value

Although process dimensions related to SCM are critical to organization competitiveness, research so far has tended to focus on supply chain operations and reference model, balanced scorecard, total quality management, activity-based costing, just in time, etc., but in literature hardly any description of the SIPOC-DMAIC model to improve SCM process performance is provided. The use of statistics in DMAIC provides better insight into the process performance, and process control.

Details

International Journal of Quality & Reliability Management, vol. 31 no. 5
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 23 March 2012

Damjan Maletič, Matjaž Maletič and Boštjan Gomišček

The purpose of this paper is to present an empirical study, which examines the relationship between continuous improvement (CI) and maintenance performance. By examining…

Abstract

Purpose

The purpose of this paper is to present an empirical study, which examines the relationship between continuous improvement (CI) and maintenance performance. By examining CI in relation to maintenance performance, this study seeks to increase the understanding of quality management practices in the field of maintenance.

Design/methodology/approach

The empirical data for this study were drawn from a survey of Slovenian organizations in order to address the research problem. Several statistical methods including correlation analysis, regression analysis as well as principal component analysis (PCA) are utilized to accomplish the objective of the study.

Findings

The findings suggest that CI significantly and positively relates to maintenance performance. In addition, findings advocate the importance of incorporation of quality management practices into maintenance processes.

Research limitations/implications

Based on the findings of this study, it is concluded that future research could broaden the investigation to identify more complex measures of CI. Moreover, sample size should be expanded to a larger group in order to increase the generalizability of the results.

Practical implications

The study contributes to a better understanding of CI activities in the field of maintenance and therefore provides insights for managers to recognize the role of CI activities and understand their effect in enhancing the maintenance performance.

Originality/value

The findings provide empirical evidence that CI is shown to be an effective way of improving maintenance performance.

Details

Journal of Quality in Maintenance Engineering, vol. 18 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

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