Forthcoming articles

International Journal of Quality and Innovation

International Journal of Quality and Innovation (IJQI)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Quality and Innovation (2 papers in press)

Regular Issues

  • Business Excellence Initiative Success Prediction Model based on Logistic Regression and Artificial Neural Network   Order a copy of this article
    by Nandkumar Mishra 
    Abstract: Today the organisations are increasingly adopting business excellence (BE) initiatives for the breakthrough business results. However, such initiatives have given limited success. The practitioners are looking for early alerts for the initiative mid-course corrections. The present paper describes the development of a logistic regression and artificial neural network (ANN)-based BE initiative success prediction model. The deployment of the model in various organisations helped to predict BE initiative success probability and take corrective actions. The success rate of the organisations deploying BE model is statistically more than that are not deploying it. The exploratory research has shown that organisational culture has a greater impact on BE initiative success than the business environment and organisational structure related factors. The descriptive research indicates that Lean Six Sigma is deployed in 73% organisations as a successful BE initiative and the focus of the 63% respondents are in bottom-line improvements.
    Keywords: artificial neural network; ANN; business excellence; chi-square test; cluster analysis; critical success factors; CSFs; Cronbach alpha; customer satisfaction index; earning per share; EPS; employee satisfaction index.
    DOI: 10.1504/IJQI.2019.10023488
  • Comparison between the UAE Government Excellence System (GES), Malcolm Baldrige National Award (MBNQA) and European Foundation for Quality Management Model (EFQM): Implications for Excellence Models   Order a copy of this article
    by Souraj Salah, Danial Salah 
    Abstract: For any organisation, excellence models are essential for success. Excellence models are structured approaches used to enhance quality across different functions in an organisation. Traditionally, various models are implemented in numerous companies across different countries, with each projecting its own strength. Lately, many models have gained attention as they form a critical infrastructure for improving and controlling the operational systems to achieve strategic alignment. However, there is a gap in understanding how some of them relate to each other. This paper provides a comprehensive and precise study of three of these models in an attempt to add a new understanding of the excellence models to what is already known in literature. A high-level comparison of the main criteria and practices is conducted between GES with MBNQA and EFQM. GES is as comprehensive as the other models, it encompasses most of their dimensions, and it has various aspects addressed more explicitly.
    Keywords: fourth generation of Government Excellence System; GES; continuous improvement; CI; quality management; QM; Malcolm Baldrige National Quality Award; MBNQA; European Foundation for Quality Management model; EFQM; UAE.
    DOI: 10.1504/IJQI.2019.10024524