REFERQUAL: A pilot study of a new service quality assessment instrument in the GP Exercise Referral scheme setting

Background The development of an instrument accurately assessing service quality in the GP Exercise Referral Scheme (ERS) industry could potentially inform scheme organisers of the factors that affect adherence rates leading to the implementation of strategic interventions aimed at reducing client drop-out. Methods A modified version of the SERVQUAL instrument was designed for use in the ERS setting and subsequently piloted amongst 27 ERS clients. Results Test re-test correlations were calculated via Pearson's 'r' or Spearman's 'rho', depending on whether the variables were Normally Distributed, to show a significant (mean r = 0.957, SD = 0.02, p < 0.05; mean rho = 0.934, SD = 0.03, p < 0.05) relationship between all items within the questionnaire. In addition, satisfactory internal consistency was demonstrated via Cronbach's 'α'. Furthermore, clients responded favourably towards the usability, wording and applicability of the instrument's items. Conclusion REFERQUAL is considered to represent promise as a suitable tool for future evaluation of service quality within the ERS community. Future research should further assess the validity and reliability of this instrument through the use of a confirmatory factor analysis to scrutinise the proposed dimensional structure

The Impact of Human Resource Practices on Actual and Perceived Organizational Performance in a Middle Eastern Emerging Market

This is a study centered on the impact of the specific set of HRM practices on organizational performance (OP) within an emerging-market setting. It seeks to explore which HR practices are most closely associated with better OP within the financial services industry in Jordan based on a survey of managers and the annual reports of the companies encompassed by the study. It was found that the only HR practice seen to consistently impact on OP was training; in other words, we did not encounter any recognizable "bundle" of HR practices that optimized OP across the sector. We argue that this reflects the weaker and more partially coupled nature of institutions in many emerging markets, which makes it difficult to generate the type of complementarities associated between regulation and practice in mature markets. It also reflects the limited transferability of perceived best practice models in the context of emerging-market settings. Although belied by objective firm performance data, many respondents believed that it was not only training but also the extensive usage of extrinsic incentives (pay and promotion) that would translate into superior results. This highlights the limitations of relying on managerial reported performance data in exploring the consequences of specific HR practices

Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

PurposeThe disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.Design/methodology/approachThe research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.FindingsThe proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.Research limitations/implicationsImplications for future research are provided which would help to further explore the nascent field of Quality 4.0.Practical implicationsThis research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.Originality/valueThe present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.</jats:sec

Quality 4.0 – understanding the criticality of the dimensions using the analytic hierarchy process (AHP) technique

PurposeIn this era of Industry 4.0, characterized by disruptive technologies, there is a need to identify and understand the role of the quality function in the excellence journey. Quality 4.0 refers to the digitalization of quality work in the context of Industry 4.0. As Quality 4.0 is a new concept, empirical research on the subject is extremely scant. Therefore, this study aims to identify and understand the criticality of the dimensions of Quality 4.0. Design/methodology/approachThe present research identifies 12 axes (dimensions) of Quality 4.0 based on literature review and inputs from experts. The identified axes have been prioritized using the analytic hierarchy process (AHP) technique.FindingsThe study concludes that the 12 dimensions contribute to outcome indicators such as organizational performance, agility and sustainability. It further adds that though technology is vital for Quality 4.0, elements of traditional quality such as leadership, quality culture, customer focus, quality systems, compliance, competence, analytical thinking, data-driven decision making, etc. are mandatory for the transformation journey. In today's context except for a few matured organizations, others are even struggling to implement the traditional aspects of quality.Research limitations/implicationsCues to further research are provided which would help in the better understanding of Quality 4.0 and its role in the Industry 4.0 scenario.Practical implicationsThis research would help the practitioners understand the determinants of Quality 4.0 system and their effects on organizational performance, agility and sustainability.Originality/valueThe present research work strives to throw light on the criticality of the dimensions of Quality 4.0, thereby contributing to theory building, especially given the paucity of literature in Quality 4.0.</jats:sec