The aim of this paper is to empirically examine a comprehensive list of factors that are anticipated to affect information sharing (IS) in supply chains (SC) in the context of a landlocked developing country Nepal. A survey questionnaire was developed and data were collected from 131 supply chain participants in Nepal. Exploratory factor analysis and path analysis were conducted to examine the fitness of the proposed model and the relationships between the identified factors and information sharing. The results suggest that interaction routines and personal connection influenced both operational and strategic information sharing while organisational compatibility, incentives, project payoffs, commitment (inter-organisational), top management commitment and supply network configuration affected operational IS and government support and monitoring were associated with strategic IS. The paper provides empirical evidence on how information sharing is affected in the context of a landlocked developing country. The paper also identifies and discusses the similarities and differences in the importance of these factors on information sharing between developed and developing countries. The main limitation is the moderate sample size as compared to the large number of variables contained in the study which may have limited the use of analytical tools. The study provides a better understanding of information sharing behaviours of supply chain participants in Nepal which will help firms to develop strategies accordingly to enhance information sharing.

Item Type:	Refereed Article
Keywords:	supply chain management, information sharing, connectivity, developing country, factor analysis, path analysis
Research Division:	Commerce, Management, Tourism and Services
Research Group:	Transportation, logistics and supply chains
Research Field:	Logistics
Objective Division:	Economic Framework
Objective Group:	Management and productivity
Objective Field:	Management
UTAS Author:	Maskey, R (Ms Reenu Maskey)
UTAS Author:	Fei, J (Associate Professor Jiangang Fei)
UTAS Author:	Nguyen, H-O (Associate Professor Oanh Nguyen)
ID Code:	134770
Year Published:	2019
Web of Science® Times Cited:	8
Deposited By:	Maritime and Logistics Management
Deposited On:	2019-09-04
Last Modified:	2022-11-07
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