講座題目：Mind the perception gap: An integrative performance management framework for service
supply chains
時間：2019-04-26 13:30 - 15:00
地點：泰山科研樓517A
主講人：Dr Sean (Sobhan) Asian
主講人簡介：
Dr. Sean (Sobhan) Asian is a management scientist, operations researcher, and systems engineer, with special interests in exploring and solving complex Supply Chain Management, Logistics, and Transportation problems。
Dr. Asian is the Editorial Advisory Board (EAB) member of "Transportation Research Part E" journal (for supply chain management).
Dr. Asian’s multidisciplinary research addresses planning problems in transportation, logistics, and complex systems, where managing uncertainties and proposing practical decision support systems are extremely important yet challenging. Another stream of Dr. Asian’s research is the development of innovative and sustainable business models that can deliver the triple bottom-line of people, planet, and profit.
Dr. Asian completed his Ph.D. from Nanyang Technological University (NTU), Singapore. His PhD was fully supported by Singapore’s national Agency for Science, Technology, and Research (A*Star), where he worked as a researcher on several R&D projects. Following Ph.D., he joined Siemens-Dematic (South-East Asia) as a business consultant where he worked on a number of supply chain network optimization and intra-logistics automation projects. Prior to joining LBS, Sean was awarded with the Vice Chancellor Research Fellow at College of Business, RMIT University and served as Course Coordinator, Researcher, and Lecturer.
內容簡介：
A perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. The purpose of this paper is to investigate the perception gap among service supply chain partners relating to the relative importance of key performance indicators (KPIs) and the association of this gap with service performance. This paper presents an integrative framework that combines statistical methods and data envelopment analysis for computing perception and performance gaps, and for identifying the association between the gaps. The study follows a middle-range theorizing research approach where general inferences are induced from instances, and a theory can be developed from the observation of empirical reality. The study extends the theoretical boundary of supply chain performance management by introducing the perception and performance gaps as novel meta-KPIs. These meta-KPIs can be computed through the integrative framework developed in the study.
