Optimal Resource Allocation for SQM: A Comparative Case Study in Pharmaceutical Industry (Record no. 52561)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02223nam a2200205 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190909152510.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190909b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kaushik, Sanjay; |
| 9 (RLIN) | 34534 |
| 245 ## - TITLE STATEMENT | |
| Title | Optimal Resource Allocation for SQM: A Comparative Case Study in Pharmaceutical Industry |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 59-79 p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The allocation of scarce resources forms the core of modern economies, but the focus of strategic management literature is more on a narrower challenge of appropriate allocation of resources for corporate strategy. The 'soft' element and 'hard' element of total quality management may be classified into three types of resources, namely, Human Resources (HR), Organizational Resources (OR), and Technological Resources (TR). The objective of the current paper is to optimally allocate the three resources for implementing the selected 10 quality strategies of Strategic Quality Management (SQM). A case study approach is used here based on the premise that resource allocation activity is unique to every organization. A combined Analytic Network Process (ANP)-Goal Programming (GP) operations research technique is used for optimal allocation of resources. Here, the gap between desired and actual resource allocation is assessed using ANP technique and GP is used for optimal allocation of resources. Both the techniques are operation research techniques and do not require a large sample size. The data is collected using Saaty's (1999) 9-point paired comparison scale from respondents (three respondents per company) employed in two pharmaceutical companies. The results of ANP concluded that some of the quality strategies were over-resourced, while others were under-resourced in both the companies. The output of ANP was used as an input for GP and the results propose an optimal reallocation of three resources for the selected quality strategies of SQM. |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Pharmaceutical industry; |
| Uncontrolled term | Goal programming; |
| Uncontrolled term | Monetary incentives; |
| Uncontrolled term | Operations management; |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kaur, Harjit. |
| 9 (RLIN) | 34535 |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 30428 |
| Host Itemnumber | 76754 |
| Main entry heading | MURTHY, E N |
| Place, publisher, and date of publication | IUP PUBLICATION HYDERABAD |
| Other item identifier | 55510830 |
| Title | APPLIED ECONOMICS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Main Library | Main Library | 09/09/2019 | Vol 18, No 3/ 55510830JA3 | 55510830JA3 | 09/09/2019 | 09/09/2019 |