Development of Effective Operations Strategies for Organizational Excellence Performance: A Study of Textile and Clothing Sectors in Pakistan
In highly competitive and focused global environment, the textile manufacturing organizations need to improve, redesign and streamline the operations functions areas to improve the organizational performance. However, this study constructed a conceptual model to synchronize the organizational functi...
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| Format: | Thesis |
| Language: | en en |
| Published: |
2022
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| Online Access: | http://ur.aeu.edu.my/1008/1/Adnan%20Fardzand%20Ali%20-%20Final%20Thesis.pdf http://ur.aeu.edu.my/1008/2/Adnan%20Fardzand%20Ali%20-%20Final%20Thesis-1-24.pdf http://ur.aeu.edu.my/1008/ https://online.fliphtml5.com/sppgg/lrub/?1668390510905 |
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| Summary: | In highly competitive and focused global environment, the textile manufacturing organizations need to improve, redesign and streamline the operations functions areas to improve the organizational performance. However, this study constructed a conceptual model to synchronize the organizational functional areas and developed the effective operations strategies of Pakistan Textile and Clothing Sectors. This conceptual model divided into four components wherein first two components focus on strategic management how to drive strategic planning and second two components deal with operations management how to manage operations functions effectively. As well, this conceptual model recommended three outcomes (benefits) such as; (i) effective process design for continuous improvement, (ii) efficient product design for customer satisfaction and fulfill demands, (iii) managing operations for operations excellence performance. This study designed a quantitative researcher design methodology following Lewis Saunders and Thornhill Research Framework, called "Onion Research" (Saunders et al., 2016). For this purpose, the researcher first conducted semi-structures interviews from 50 textile managers and applied grounded theory directed at themes (factors) identification and arranged using NVivo Pro 12 (data management). This study also developed closed-ended questionnaires and distributed to textile managers in calculated require sample size 274 in targeted population (≈ 700) to collect numerical (quantitative) data using survey approach. Besides, factor analysis (FA) is used to reduce the large number of variables to a small number of factors applied exploratory factor analysis (EFA). In addition, confirmatory factor analysis (CFA) is used to measure and analyze the casual relationships between observed and latent variables to interpret the structural models to be a good fit with model fit indices. |
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