Published March 14, 2024 | Version v1
Thesis Open

The relationship and impact of multidimensionality TQM and innovation on organisational performance: in the context of the Bangladesh garments industry

Authors/Creators

  • 1. ROR icon University of the West of Scotland

Description

The purpose of this paper is to seek the impact and relationship of TQM and Innovation techniques 
on organisational performance in Bangladesh garment manufacturing organisations. This paper 
presents a conceptual approach for investigating different research hypotheses where multiple 
models are tested under structural equation modelling (SEM). The survey data were obtained
following purposive sample questionnaires from 25 garment manufacturing organisations with a 
response of 371 participants. In addition, fifteen 'face-to-face' semi-structured interviews were
collected, and a thematic framework matrix approach was used to analyse. Therefore, the research 
was conducted using mixed-method concurrent triangulation. 
The analysis of the qualitative research on the RMG indicates all aspects of TQM and innovation 
substantially impact on organisational financial and non-financial performance. The quantitative data 
output demonstrated that administrative Innovation had no significant impact on organisational 
financial and non-financial performance, but technological Innovation significantly impacted. 
Conversely, the quantitative data output showed only mechanistic TQM significantly impacts on 
organisational performance. In addition, organic TQM uses mechanistic TQM as a mediator to 
significantly impact on organisational performance while having no direct impact on administrative or 
technological Innovation. The mechanistic TQM significantly impacts on administrative Innovation but 
is insignificant on technological innovation. In addition, organic TQM mediates mechanistic TQM to 
significantly impact on financial and non-financial performance. Therefore, quantitative analysis 
showed a complex relationship between quality management and Innovation. So, two different 
models have emerged following qualitative and quantitative data analysis, which may help the RMG 
organisation to identify how quality and innovation impacts on RMG organisations. Furthermore, from 
the perspective of RMG manufacturing, this study contributes a novel theoretical, managerial, and 
empirical contribution to the global subject of TQM and Innovation.

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Dates

Other
2024-03-14
Published