Skip to main content
SpringerLink
Log in

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

  • Published:
Operations Management Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. The numbers 0 and 1 assigned to the two categories of actors towards the information-sharing process have no numerical value, meaning they are mere tags with no mathematical aspect. This scale simply divides actors into two distinct groups in terms of information sharing.

References

  • Abdeen F, Sandanayake Y (2018) Facilities Management Supply Chain: Functions, Flows and Relationships. Procedia Manuf 17:1104–1111

    Google Scholar 

  • Ahn HJ, Lee H (2004) An agent-based dynamic information network for supply chain management. BT Technol J 22(2):18–27

    Google Scholar 

  • Albino V, Fraccascia L, Giannoccaro I (2016) Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. J Clean Prod 112:4353–4366

    Google Scholar 

  • Amalou-Döpke L, Süß S (2014) HR measurement as an instrument of the HR department in its exchange relationship with top management: A qualitative study based on resource dependence theory. Scand J Manag 30(4):444–460

    Google Scholar 

  • Banerjee M, Mishra M (2017) Retail supply chain management practices in India: A business intelligence perspective. J Retail Consum Serv 34:248–259

    Google Scholar 

  • Benson T (2014) Building good management practices in Ethiopian agricultural cooperatives through regular financial audits. J Co-Operative Org Manag 2(2):72–82

    Google Scholar 

  • Block P (2015) Reciprocity, transitivity, and the mysterious three-cycle. Soc Netw 40:163–173

    Google Scholar 

  • Cai S, Jun M, Yang Z (2010) Implementing supply chain information integration in China: The role of institutional forces and trust. J Oper Manag 28(3):257–268

    Google Scholar 

  • Caimo A, Friel N (2014) Actor-Based Models for Longitudinal Networks. In: Snijders TAB (ed) Encyclopedia of Social Network Analysis and Mining. Springer, pp 1–120

    Google Scholar 

  • Çallı F, Sönmezer S (2018) A Model of Information Sharing Measurement in Integrated Supply Chain Networks. Paper presented at the Int Conf Eurasian Econ

  • Cao D, Li H, Wang G, Luo X, Yang X, Tan D (2017) Dynamics of project-based collaborative networks for BIM implementation: analysis based on stochastic actor-oriented models. J Manag Eng 33(3):04016055

    Google Scholar 

  • Carnovale S, Rogers DS, Yeniyurt S (2016) Bridging structural holes in global manufacturing equity based partnerships: A network analysis of domestic vs. international joint venture formations. J Purchas Supply Manag 22(1):7–17

  • Carnovale S, Rogers DS, Yeniyurt S (2019) Broadening the perspective of supply chain finance: The performance impacts of network power and cohesion. J Purch Supply Manag 25(2):134–145

    Google Scholar 

  • Chang C-W, Chiang DM, Pai F-Y (2012) Cooperative strategy in supply chain networks. Ind Mark Manage 41(7):1114–1124

    Google Scholar 

  • Cheikhrouhou N, Pouly M, Madinabeitia G (2013) Trust categories and their impacts on information exchange processes in vertical collaborative networked organisations. Int J Comput Integr Manuf 26(1–2):87–100

    Google Scholar 

  • Chen B (2008) Assesing interorganizational networks for public service delivery: A process-perceived effectiveness framework. Public Perform Manag Rev 31(3):348–363

    Google Scholar 

  • Chen JV, Yen DC, Rajkumar T, Tomochko NA (2011) The antecedent factors on trust and commitment in supply chain relationships. Computer Standards & Interfaces 33(3):262–270

    Google Scholar 

  • Cheng J-H (2011) Inter-organizational relationships and information sharing in supply chains. Int J Inf Manage 31(4):374–384

    Google Scholar 

  • Cheng J-H, Chen S-W, Chen F-Y (2013) Exploring how inter-organizational relational benefits affect information sharing in supply chains. Inf Technol Manage 14(4):283–294

    Google Scholar 

  • Cheng Y, Shen H (2020) United Airlines crisis from the stakeholder perspective: Exploring customers’ ethical judgment, trust and distrust, and behavioral intentions. Pub Relations Rev 101908

  • de la Haye K, Embree J, Punkay M, Espelage DL, Tucker JS, Green HD Jr (2017) Analytic strategies for longitudinal networks with missing data. Social Networks 50:17–25

    Google Scholar 

  • Dou Y, Zhu Q, Sarkis J (2018) Green multi-tier supply chain management: An enabler investigation. J Purch Supply Manag 24(2):95–107

    Google Scholar 

  • Ebrahim-Khanjari N, Hopp W, Iravani SM (2012) Trust and information sharing in supply chains. Prod Oper Manag 21(3):444–464

    Google Scholar 

  • Feng Y (2012) System dynamics modeling for supply chain information sharing. Phys Procedia 25:1463–1469

    Google Scholar 

  • Fu S, Han Z, Huo B (2017) Relational enablers of information sharing: evidence from Chinese food supply chains. Indust Manag Data Syst

  • Fu X, Han G (2017) Trust-embedded information sharing among one agent and two retailers in an order recommendation system. Sustainability 9(5):710

    Google Scholar 

  • Galli F, Brunori G (2013) Short food supply chains as drivers of sustainable development. Evidence document

  • Gereffi G, Humphrey J, Sturgeon T (2005) The governance of global value chains. Rev Int Politic Econ 12(1):78–104

    Google Scholar 

  • Gong Z, Wang H, Guo W, Gong Z, Wei G (2020) Measuring trust in social networks based on linear uncertainty theory. Inf Sci 508:154–172

    Google Scholar 

  • Gremyr I, Birch-Jensen A, Kumar M, Löfberg N (2022) Quality functions’ use of customer feedback as activation triggers for absorptive capacity and value co-creation. Int J Oper Prod Manag 42(13):218–242

    Google Scholar 

  • Ha AY, Tang CS (2017) Handbook of information exchange in supply chain management. Springer

  • Handfield RB, Bechtel C (2002) The role of trust and relationship structure in improving supply chain responsiveness. Ind Mark Manag 31(4):367–382

    Google Scholar 

  • Hearnshaw EJ, Wilson MM (2013) A complex network approach to supply chain network theory. Int J Oper Prod Manag 33(4):442–469

    Google Scholar 

  • Hill A, Doran D, Stratton R (2012) How should you stabilise your supply chains? Int J Prod Econ 135(2):870–881

    Google Scholar 

  • Holland PW, Leinhardt S (1978) An omnibus test for social structure using triads. Sociol Methods Res 7(2):227–256

    Google Scholar 

  • Hsu C-C, Kannan VR, Tan K-C, Keong Leong G (2008) Information sharing, buyer-supplier relationships, and firm performance: a multi-region analysis. Int J Phys Distrib Logist Manag 38(4):296–310. https://doi.org/10.1108/09600030810875391

    Article  Google Scholar 

  • Huang Y-S, Hung J-S, Ho J-W (2017) A study on information sharing for supply chains with multiple suppliers. Comput Ind Eng 104:114–123

    Google Scholar 

  • IMCLSW (2014) The cooperative sector law of the Islamic Republic of Iran's economy. http://coop.mcls.gov.ir/. Retrieved from http://coop.mcls.gov.ir/handler/dl_pubatt.aspx?a=1096

  • Kabelele DP (2019) The determinants of information sharing and the performance of supply chain: A case of beverage manufacturing companies in Dar es salaam. Mzumbe University, Tanzania

    Google Scholar 

  • Kalantari K, Lavaei Adaryani R (2016) Identifying and explaining challenges faced by Iranian rural production cooperatives, based on a grounded theory paradigm. Coop Agric 17(5):33–51 (In Farsi)

    Google Scholar 

  • Kang M, Park YE (2017) Exploring trust and distrust as conceptually and empirically distinct constructs: Association with symmetrical communication and public engagement across four pairings of trust and distrust. J Public Relations Res 29(2–3):114–135

    Google Scholar 

  • Kao T-WD, Simpson N, Shao BB, Lin WT (2017) Relating supply network structure to productive efficiency: A multi-stage empirical investigation. Eur J Oper Res 259(2):469–485

    Google Scholar 

  • Kärkkäinen M, Laukkanen S, Sarpola S, Kemppainen K (2007) Roles of interfirm information systems in supply chain management. Int J Phys Distrib Logist Manag 37(4):264–286

    Google Scholar 

  • Kechidi M, Talbot D (2010) Institutions and coordination: what is the contribution of a proximity-based analysis? The case of Airbus and its relations with the subcontracting network. Int J Technol Manage 50(3/4):285–299

    Google Scholar 

  • Kembro J, Näslund D, Olhager J (2017) Information sharing across multiple supply chain tiers: A Delphi study on antecedents. Int J Prod Econ 193:77–86

    Google Scholar 

  • Khan M, Hussain M, Papastathopoulos A, Manikas I (2018) Trust, information sharing and uncertainty: An empirical investigation into their impact on sustainability in service supply chains in the United Arab Emirates. Sustain Dev 26(6):870–878

    Google Scholar 

  • Kim Y, Choi TY, Yan T, Dooley K (2011) Structural investigation of supply networks: A social network analysis approach. J Oper Manag 29(3):194–211

    Google Scholar 

  • Kirezieva K, Bijman J, Jacxsens L, Luning PA (2016) The role of cooperatives in food safety management of fresh produce chains: Case studies in four strawberry cooperatives. Food Control 62:299–308

    Google Scholar 

  • Knoben J, Oerlemans LA (2006) Proximity and inter-organizational collaboration: A literature review. Int J Manag Rev 8(2):71–89

    Google Scholar 

  • Kulp SC, Lee HL, Ofek E (2004) Manufacturer benefits from information integration with retail customers. Manage Sci 50(4):431–444

    Google Scholar 

  • Kumar N (1996) The power of trust in manufacturer-retailer relationships. Harv Bus Rev 74(6):92

    Google Scholar 

  • Lage E, Alturas B (2012) Factors Influencing Information Sharing in Four SME Networks in Portugal-A Coordination Perspective. Paper presented at the KMIS

  • Lavaei Adaryani R, Kalantari K, Asadi A, Alambeigi A (2023) Surveying the institutional collaboration in the food supply chain: A qualitative study of livestock production cooperatives. Coop and Agr 11(2). https://doi.org/10.22034/AJCOOP.2022.345936.1783

  • Lee B-C, Kim P-S, Hong K-S, Lee I (2010) Evaluating antecedents and consequences of supply chain activities: an integrative perspective. Int J Prod Res 48(3):657–682

    Google Scholar 

  • Lee C-H, Ha B-C (2018) The impact of buyer-supplier relationships’ social capital on bi-directional information sharing in the supply chain. J Bus Indust Market

  • Lee HK, Fernando Y (2015) The antecedents and outcomes of the medical tourism supply chain. Tour Manage 46:148–157

    Google Scholar 

  • Lee HL, Padmanabhan V, Whang S (1997a) The bullwhip effect in supply chains. Sloan Manag Rev 38:93–102

    Google Scholar 

  • Lee HL, Padmanabhan V, Whang S (1997b) Information distortion in a supply chain: The bullwhip effect. Manage Sci 43(4):546–558

    Google Scholar 

  • Lee HL, So KC, Tang CS (2000) The value of information sharing in a two-level supply chain. Manage Sci 46(5):626–643

    Google Scholar 

  • Leszczensky L, Pink S (2015) Ethnic segregation of friendship networks in school: Testing a rational-choice argument of differences in ethnic homophily between classroom-and grade-level networks. Soc Netw 42:18–26

    Google Scholar 

  • Li T, Zhang H (2015) Information sharing in a supply chain with a make-to-stock manufacturer. Omega 50:115–125

    Google Scholar 

  • Li Y, Ye F, Sheu C (2014) Social capital, information sharing and performance. Int J Opera Prod Manag

  • Luke DA (2015) A user's guide to network analysis in R. Springer

  • Madlberger M (2009) What drives firms to engage in interorganizational information sharing in supply chain management? Int J e-Collab (IJeC) 5(2):18–42

    Google Scholar 

  • Malinowski B (1932) Crime and custom in savage society. Paul, Trench, Trubner, London

    Google Scholar 

  • Maskey R, Fei J, Nguyen H-O (2017) Exploratory factor analysis-antecedents of information sharing in supply chains. Paper presented at the IAME2017

  • Maskey R, Fei J, Nguyen H-O (2020) Critical factors affecting information sharing in supply chains. Production Planning & Control 31(7):557–574

    Google Scholar 

  • Mason‐Jones R, Towill DR (1997) Information enrichment: designing the supply chain for competitive advantage. Supply Chain Manag: An Int J

  • Mbhele TP (2014) Antecedents of Quality Information Sharing in the FMCG Industry. Journal of Economics and Behavioral Studies 6(12):986–1003

    Google Scholar 

  • McKnight DH, Choudhury V, Kacmar C (2002) The impact of initial consumer trust on intentions to transact with a web site: a trust building model. J Strateg Inf Syst 11(3–4):297–323

    Google Scholar 

  • Mena C, Humphries A, Choi TY (2013) Toward a theory of multi-tier supply chain management. J Supply Chain Manag 49(2):58–77

    Google Scholar 

  • Mercken L, Snijders TA, Steglich C, Vartiainen E, De Vries H (2010) Dynamics of adolescent friendship networks and smoking behavior. Social Networks 32(1):72–81

    Google Scholar 

  • Moberg CR, Cutler BD, Gross A, Speh TW (2002) Identifying antecedents of information exchange within supply chains. Int J Phys Distribut Logist Manag

  • Morgan RM, Hunt SD (1994) The commitment-trust theory of relationship marketing. J Market 20–38

  • Narang R, Sarin S, Singh P, Goyal R (2018) Impact of Reciprocity in Information Spreading Using Epidemic Model Variants. Information 9(6):136

    Google Scholar 

  • Narasimhan R, Nair A (2005) The antecedent role of quality, information sharing and supply chain proximity on strategic alliance formation and performance. Int J Prod Econ 96(3):301–313

    Google Scholar 

  • Nienhüser W (2008) Resource dependence theory-How well does it explain behavior of organizations? Manag Revue 9–32

  • Özer Ö, Zheng Y, Chen K-Y (2011) Trust in forecast information sharing. Manage Sci 57(6):1111–1137

    Google Scholar 

  • Pai P, Tsai H-T (2016) Reciprocity norms and information-sharing behavior in online consumption communities: An empirical investigation of antecedents and moderators. Information & Management 53(1):38–52

    Google Scholar 

  • Palouj M, Lavaei Adaryani R, Alambeigi A, Movarej M, Safi Sis Y (2021) Surveying the impact of the coronavirus (COVID-19) on the poultry supply chain: A mixed methods study. Food Control 126:808410. https://doi.org/10.1016/j.foodcont.2021.108084

  • Patnayakuni R, Rai A, Seth N (2006) Relational antecedents of information flow integration for supply chain coordination. J Manag Inf Syst 23(1):13–49

    Google Scholar 

  • Paulraj A, Lado AA, Chen IJ (2008) Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships. J Oper Manag 26(1):45–64

    Google Scholar 

  • Pavlou PA (2002) Institution-based trust in interorganizational exchange relationships: the role of online B2B marketplaces on trust formation. J Strateg Inf Syst 11(3–4):215–243

    Google Scholar 

  • Rached M, Bahroun Z, Campagne J-P (2015) Assessing the value of information sharing and its impact on the performance of the various partners in supply chains. Comput Ind Eng 88:237–253

    Google Scholar 

  • Ramayah T, Omar R (2010) Information exchange and supply chain performance. Int J Inf Technol Decis Mak 9(01):35–52

    Google Scholar 

  • Ripley RM, Snijders TA, Boda Z, Vörös A, Preciado P (2019) Manual for RSIENA. University of Oxford, Department of Statistics, Nuffield College, p 1

    Google Scholar 

  • Ripley RM, Snijders TA, Boda Z, Vörös A, Preciado P (2020) Manual for RSIENA. University of Oxford, Department of Statistics, Nuffield College, p 1

    Google Scholar 

  • Seiler A, Papanagnou C, Scarf P (2020) On the relationship between financial performance and position of businesses in supply chain networks. Int J Prod Econ 227:107690

    Google Scholar 

  • Shaw AT, Gilly J-P (2000) On the analytical dimension of proximity dynamics. Reg Stud 34(2):169–180

    Google Scholar 

  • Shen J (2020) An environmental supply chain network under uncertainty. Physica A 542:123478

    Google Scholar 

  • Sherchan W, Nepal S, Paris C (2013) A survey of trust in social networks. ACM Computing Surveys (CSUR) 45(4):1–33

    Google Scholar 

  • Sirilertsuwan P, Ekwall D, Hjelmgren D (2018) Proximity manufacturing for enhancing clothing supply chain sustainability. Int J Logist Manag

  • Skilton PF, Bernardes E (2015) Competition network structure and product market entry. Strateg Manag J 36(11):1688–1696

    Google Scholar 

  • Snijders TA, Steglich CE, Schweinberger M, Huisman M (2007) Manual for SIENA version 3.1. University of Groningen: ICS/Department of Sociology

  • Snijders TA, Van de Bunt GG, Steglich CE (2010) Introduction to stochastic actor-based models for network dynamics. Social Networks 32(1):44–60

    Google Scholar 

  • Song H, Lu Q, Yu K, Qian C (2019) How do knowledge spillover and access in supply chain network enhance SMEs’ credit quality? Ind Manag Data Syst

  • Song H, Yu K, Ganguly A, Turson R (2016) Supply chain network, information sharing and SME credit quality. Ind Manag Data Syst 116(4):740–758

    Google Scholar 

  • Teo LKY, Dang-Pham D, Nkhoma M (2016) Social Network Analysis Approach to Manage Information Risks and Sharing For Supply Chain Performance. Paper presented at the Intl Conf Opera Supply Chain Manag

  • Tichy NM, Tushman ML, Fombrun C (1979) Social network analysis for organizations. Acad Manag Rev 4(4):507–519

    Google Scholar 

  • Todo Y, Matous P, Inoue H (2016) The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks. Res Policy 45(9):1890–1906

    Google Scholar 

  • Torre A (2008) On the role played by temporary geographical proximity in knowledge transmission. Reg Stud 42(6):869–889

    Google Scholar 

  • Wang J-C, Wang Y-Y, Che T (2018) Information sharing and the impact of shutdown policy in a supply chain with market disruption risk in the social media era. In press, Inform Manag

    Google Scholar 

  • Wang Q, Liu X, Liu Z, Xiang Q (2020) Option-based supply contracts with dynamic information sharing mechanism under the background of smart factory. Int J Prod Econ 220:107458

    Google Scholar 

  • Wang Z, Ye F, Tan KH (2014) Effects of managerial ties and trust on supply chain information sharing and supplier opportunism. Int J Prod Res 52(23):7046–7061

    Google Scholar 

  • Wei H-L, Wong CW, Lai K-H (2012) Linking inter-organizational trust with logistics information integration and partner cooperation under environmental uncertainty. Int J Prod Econ 139(2):642–653

    Google Scholar 

  • Wu L, Chuang C-H, Hsu C-H (2014) Information sharing and collaborative behaviors in enabling supply chain performance: A social exchange perspective. Int J Prod Econ 148:122–132

    Google Scholar 

  • Yam RC, Chan C (2015) Knowledge sharing, commitment and opportunism in new product development. Int J Opera Prod Manag

  • Yang Z, Zhang H, Xie E (2017) Relative buyer-supplier relational strength and supplier’s information sharing with the buyer. J Bus Res 78:303–313

    Google Scholar 

  • Zhang M, Huo B (2013) The impact of dependence and trust on supply chain integration. Int J Phys Distribut Logist Manag

Download references

Acknowledgements

Firstly, the authors would like to thank Mohammad Javad Parvazi Shandi and Parham Jannati for helping with the data collection. Secondly, we are immensely grateful to the editor and the anonymous reviewers for their helpful comments on the earlier drafts of this paper. Finally, our special thanks go to Fatemeh Rezaei Adaryani for her continued support and patience.

Author information

Authors and Affiliations

  1. Agricultural Planning, Economic and Rural Development Research Institute (APERDRI), Tehran, Iran

    Rasool Lavaei Adaryani

  2. Department of Agricultural Management and Development, Faculty of Agriculture, University of Tehran, Karaj, Iran

    Khalil Kalantari & Ali Asadi

  3. Department of Agricultural Extension & Education, Faculty of Agriculture, University of Tehran, Karaj, Iran

    Amir Alambeigi

  4. Agricultural Education and Extension Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

    Hesamedin Gholami

  5. Department of Management, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabili, Iran

    Naser Seifollahi

Authors
  1. Rasool Lavaei Adaryani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Khalil Kalantari
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ali Asadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Amir Alambeigi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hesamedin Gholami
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Naser Seifollahi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rasool Lavaei Adaryani.

Ethics declarations

Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Adaryani, R.L., Kalantari, K., Asadi, A. et al. Information sharing antecedents in the supply chain: a dynamic network perspective. Oper Manag Res 16, 887–903 (2023). https://doi.org/10.1007/s12063-022-00337-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12063-022-00337-w

Keywords

Search

Navigation