Relational Antecedents of Information Flow Integration for Supply Chain Coordination

Patnayakuni, Ravi; Rai, Arun; Seth, Nainika

doi:10.2753/mis0742-1222230101

Cited by 292 publications

(241 citation statements)

References 107 publications

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“…First, the results of this study contribute to the development of literature relating to interorganizational information sharing in supply chain. Specifically, although risk is an important opinion in the literature, noteworthy gaps remain in understanding its impact on inter-organizational information sharing [6][7][8]. We attempted to fill the gaps by identifying relational risk behaviors and investigated how the proposed antecedent affects inter-organizational information sharing.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

“…Existing research has focused on modeling all the factors under investigation as precursors or independent variables that directly affect the behaviors of inter-organizational information sharing [6][7][8]. Research on inter-organizational information sharing, have examined uncertainty, facilitators, trust, commitment, and shared vision, among other factors [6].…”

Section: Introductionmentioning

confidence: 99%

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Exploring how inter-organizational relational benefits affect information sharing in supply chains

Cheng

Chen

2013

Inf Technol Manag

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This research explores how inter-organizational relationship interacts with factors affecting the development and implementation of information sharing. On the basis of the resource-based view and relational risk perspective, we developed a model which comprises three research hypotheses with three constructs, including relational benefits, relational risk, and information sharing. The constructs are measured by well-supported measures in the literature. Structural equation modeling was used to analyze survey data collected from 528 manufacturing firms that were among the top 1,000 Taiwanese manufacturing firms of 2011 listed by Business Weekly. The results of the empirical study suggest that relational benefits are critical in ensuring information sharing and mitigate relational risk in the process. The findings of the study provide useful insights into how supply chain members can reinforce their relational benefits and mitigate probable risks so as to improve their collaborative behaviors and in turn enhance information sharing for the supply chain as a whole.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring how inter-organizational relational benefits affect information sharing in supply chains

Cheng

Chen

2013

Inf Technol Manag

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“…The variable relationship alignment describes coordination processes relating to coordinating capabilities for responding to short-lived demand requirements. It includes variables such as trust, power, knowledge, and risk as key factors to enable rapid and informal decision-making for the coordination of capabilities in a network of supply chain partners in pursuit of a joint objective (Patnayakuni et al, 2006). Thirdly, the informally networked supply chain describes the activities and decision processes required to access and execute capabilities in the context of highly dynamic time and informal business relationships (Bowersox et al, 2002;Håkansson and Ford, 2002;Harland et al, 2004).…”

Section: Capability Connectivity Measures For Informal Coordinationmentioning

confidence: 99%

Determinants of informal coordination in networked supply chains

Ogulin

Selen

Ashayeri

2012

Journal of Enterprise Information Management

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Abstract:Purpose -Provide insight into the determinants or constructs that enable informally networked supply chains to operate in order to achieve improved operational performance. Design/methodology/approach -The research is based on a wide literature review, focused on the identification of dimensions of informal networking in supply chains along network connectivity, supply chain relationship alignment, informally networked supply chain, and operational performance. These determinants or constructs of informal networking were statistically validated for validity and reliability, using a sample of 231 supply chain professionals.Findings -Four determinant of informal networking were derived: capability connectivity, describing the ability of supply chain partners to rapidly and informally integrate capabilities to service an ad hoc market requirement; relationship alignment or the ability to informally integrate resources across supply chain partners in the context of highly dynamic market situations; the informally networked supply chain itself, measuring the ability of supply chain partners to respond to transient opportunities in the context of highly dynamic markets; and finally operational performance which measures the effect informal networking has on company performance.Research limitations/implications -Future research may investigate the effects of informally networked supply chains on a broader array of measures of company performance, and additional measures of operational performance. Practical implications -These newly developed constructs or determinants give managers further insight into which dimensions need to be fostered to enable informally networked supply chains to operate, and what operational gains may be potentially realised as a result of informal networking. Originality/value -This paper contributes to enhancing the understanding of the newly emerging phenomenon of informal networking in supply chains and how it may yield operational efficiency and effectiveness gains.

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“…Certain IFR factors are essential to innovation outcomes. Strong information flows among firms means that knowledge critical for innovation is more likely to be shared and available (e.g., [30,68]), and the level of embeddedness, or strength of ties between IFR partner firms, also influences innovation outcomes [63].…”

Section: Introductionmentioning

confidence: 99%

Interfirm Relational Strategies and Innovation: the Role of Interfirm Relational Traits and Firm Resources

Yim¹,

Josephson

Johnson

et al. 2015

Cust. Need. and Solut.

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Building on relational and resource-based perspectives, this article investigates the indirect effect of interfirm relational strategies (relational proclivity and capability) on firm platform innovation, through their association with key interfirm relational traits (information flows and relational embeddedness). Given differences in firm usage and deployment of resources, the authors examine the moderating effects of two firm-level strategic levers critical to the innovation process: marketing intensity and R&D intensity. The test of this conceptual model uses primary and secondary data from 237 firms operating in high-tech industries. The results indicate that relational proclivity and capability positively influence interfirm relationship traits of information flows and relational embeddedness. These traits then have profound effects on firm platform innovation. In terms of moderation, the authors demonstrate that marketing intensity improves the ability of relational embeddedness to enhance platform innovation, whereas R&D intensity improves the ability of information flows to enhance platform innovation. The authors conclude with implications for marketing theory and practice.

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Relational Antecedents of Information Flow Integration for Supply Chain Coordination

Cited by 292 publications

References 107 publications

Exploring how inter-organizational relational benefits affect information sharing in supply chains

Exploring how inter-organizational relational benefits affect information sharing in supply chains

Determinants of informal coordination in networked supply chains

Interfirm Relational Strategies and Innovation: the Role of Interfirm Relational Traits and Firm Resources

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