Examining the relationship between business analytics and supply chain management performance
| dc.contributor.author | Jawad Khawaja, Khurram | |
| dc.date.accessioned | 2018-03-01T06:42:51Z | |
| dc.date.available | 2018-03-01T06:42:51Z | |
| dc.date.issued | 2014 | |
| dc.description | Supervised by: Dr. Atif Hassan | en_US |
| dc.description.abstract | In spite of continual investments in supply chain operational channels, organizations in developing countries could not win desired competitive advantage in terms of enhanced business value. There exists no framework that could evaluate the acquisition of business value through SCM system. The current scenario is indicative of wide gap between rhetoric and actual performance of SCM channels. Pakistani organizations are too struggling to narrow this gap. The extant research aims to contract this gap by applying the operational tool box offered by a famous SCOR model (reference SC operations model) to acquire productive and wholesome SC performance. Hypotheses pertaining to gauge the magnitude of BA were to try in SC industry in the scenario of Pakistan. 250 personnel were selected as study sample from Lahore, Gujranwala and Faisalabad based SC companies. Study type was quantitative and survey based. In order to appreciate the response from the selected industries for required data, a questionnaire was adapted which comprised of forty eight questions. Pearson correlation was SPSS version 20 was used and multiple regression of variables involved. The research study envisaged a framework suggesting monitoring operation of supply chain performance for SC managers and suppliers. It is based on an inter-linked order of dimensions of business analytics. IISS, and IPO emerged as dimensions of business analytics reflected positive linkage between consumer responses and supply chain performance. The projected framework presented empirical results with sound implications for supply chain future performance in Pakistan. Information obtained so provided useful theoretical additive in augmenting performance of supply chain management. The study faced limitations in terms of limited sample and model dimensions using people perceptions in contextual conditions of Pakistan. Market un-representativeness is another limitation of sample. Future research should take into account the effects posed by BA on SC performance deliberated for SC managers in the whole province of Punjab.Theoretical research will expand understanding of enhancement in supply chain performance by operationalizing the formulations of supply chain operation reference model and bring maturity in the chain mechanism ultimately adding value to the organizations. A model was proposed by the study for testing on the basis of supply chain people sample data in context of a developing country. Understanding enhancement contributed to the supply chain literature. People responses were utilized empirically to examine the association between magnitude of BA and their effect on SC performance. | en_US |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/2815 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Management and Technology Lahore | en_US |
| dc.subject | SCOR Model | en_US |
| dc.subject | Supply Chain Performance | en_US |
| dc.subject | Managemen | en_US |
| dc.subject | MS Thesis | en_US |
| dc.title | Examining the relationship between business analytics and supply chain management performance | en_US |
| dc.title.alternative | Evidence from Pakistan | en_US |
| dc.type | Thesis | en_US |
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