Supply Chain Performance Measurement: A Scale Development.
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MURTHY, E N BUSINESS STRATEGYSummary: Supply Chain Management (SCM) being an interdisciplinary concept lacks a consensus on its definition, which has further aggravated the problem of measuring the performance of a supply chain. In order to manage a supply chain effectively, it is important to measure its performance. But the metrics that are used to measure the performance of a supply chain vary with the industry. Thus, there is a dire need to develop a supply chain performance scale specific to the industry under consideration, which in this case is the Indian pharmaceutical industry. A total of 91 items were generated after careful review of literature encompassing both financial/non-financial measures and internal/external measures. Data was collected from 153 respondents through the medium of Google Forms. Eight factors were extracted on applying Exploratory Factor Analysis (EFA); Maximum Likelihood Estimation (MLE) and Cronbach's alpha for these factors ranged from 0.60 to 0.90. Further, convergent and discriminant validity was achieved on applying Confirmatory Factor Analysis (CFA) on another set of data comprising 103 respondents
| Item type | Current library | Call number | Vol info | Status | Notes | Date due | Barcode | Item holds | |
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Journals and Periodicals
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Main Library On Display | JOURNAL/STRA/Vol 16, No 1/55510090 (Browse shelf(Opens below)) | Vol 16, No 1 (01/09/2018) | Not for loan | The IUP Journal of Business Strategy - March 2019 | 55510090 |
Supply Chain Management (SCM) being an interdisciplinary concept lacks a consensus on its definition, which has further aggravated the problem of measuring the performance of a supply chain. In order to manage a supply chain effectively, it is important to measure its performance. But the metrics that are used to measure the performance of a supply chain vary with the industry. Thus, there is a dire need to develop a supply chain performance scale specific to the industry under consideration, which in this case is the Indian pharmaceutical industry. A total of 91 items were generated after careful review of literature encompassing both financial/non-financial measures and internal/external measures. Data was collected from 153 respondents through the medium of Google Forms. Eight factors were extracted on applying Exploratory Factor Analysis (EFA); Maximum Likelihood Estimation (MLE) and Cronbach's alpha for these factors ranged from 0.60 to 0.90. Further, convergent and discriminant validity was achieved on applying Confirmatory Factor Analysis (CFA) on another set of data comprising 103 respondents
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