Information sharing antecedents in the supply chain: a dynamic network perspective

Rasool Lavaei Adaryani (), Khalil Kalantari (), Ali Asadi (), Amir Alambeigi (), Hesamedin Gholami () and Naser Seifollahi ()
Additional contact information
Rasool Lavaei Adaryani: Agricultural Planning, Economic and Rural Development Research Institute (APERDRI)
Khalil Kalantari: University of Tehran
Ali Asadi: University of Tehran
Amir Alambeigi: University of Tehran
Hesamedin Gholami: Agricultural Education and Extension Institute, Agricultural Research, Education and Extension Organization (AREEO)
Naser Seifollahi: University of Mohaghegh Ardabili

Operations Management Research, 2023, vol. 16, issue 2, No 18, 887-903

Abstract: Abstract The primary purpose of this study is to empirically test the effects of trust, physical proximity, and network structure on the information-sharing ties across the Supply Chain Network (SCN) over time. Given a three-wave dataset, the Simulation Investigation for Empirical Network Analysis (SIENA) technique based on a Stochastic Actor-Oriented Model (SAOM) is employed to develop the research model. To do this, the two processes, including social selection (at the network level) and social influence (at the behavior level), are considered. The respondents of this study consisted of 91 chief executive officers from 32 Production Organizations (POs). The results revealed that information sharing was significantly the result of the social selection process. Physical proximity and network structure in the form of the social selection process affected information sharing. However, trust had no significant effect on information sharing. Indeed, trust may not directly predict information sharing rather indirectly explain it because of other phenomena such as physical proximity. Furthermore, the formation of information-sharing ties is not limited to the selection of a particular actor but is done with the aim of balancing the benefits and costs. The results provide managers with a set of useful mechanisms for enhancing information sharing across the supply chain.

Keywords: Supply chain network; Information sharing; Trust; Physical proximity; Dynamic network (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12063-022-00337-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00337-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-022-00337-w

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().