S
Sai S. Nudurupati
Researcher at Gandhi Institute of Technology and Management
Publications - 42
Citations - 2800
Sai S. Nudurupati is an academic researcher from Gandhi Institute of Technology and Management. The author has contributed to research in topics: Performance measurement & Performance management. The author has an hindex of 20, co-authored 37 publications receiving 2413 citations. Previous affiliations of Sai S. Nudurupati include University of Strathclyde & Manchester Metropolitan University.
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Journal ArticleDOI
Performance Measurement: Challenges for Tomorrow
TL;DR: There is a need for rethinking how the field of performance measurement is research by taking a holistic systems-based approach, recognizing the integrated and concurrent nature of challenges that the practitioners, and consequently the field, face.
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State of the art literature review on performance measurement
TL;DR: MIS and change management throughout the lifecycle of performance measurement, i.e. design, implementation and use stages, and PMS in the context of emerging business environment such as globalization, servitization, and networking in thecontext of multi-cultural environment are discussed.
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Dynamics of performance measurement and organizational culture
TL;DR: The dynamic relationship between performance measurement, management styles and organisational culture, in order to develop a better understanding of the causal linkages between these three areas is modeled.
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Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: a collaborative decision-making approach
Arijit Bhattacharya,Priyabrata Mohapatra,Vikas Kumar,Prasanta Kumar Dey,Malcolm Brady,Manoj Kumar Tiwari,Sai S. Nudurupati +6 more
TL;DR: In this article, a fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach to assist in arriving at a consistent, accurate and timely data flow across all cross-functional areas of a business.
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A review of decision-support tools and performance measurement and sustainable supply chain management
TL;DR: In this paper, a review of the existing literature related to decision-support tools and performance measurement for sustainable supply chain management is presented, and a systematic literature review is performed using classic bibliometric techniques to analyse the relevant body of knowledge identified in 384 papers published from 2000 to 2013.