Inter‐organizational IT use, cooperative attitude, and inter‐organizational collaboration as antecedents to contingency planning effectiveness

Abstract

Purpose -Today's supply chains face increasing vulnerabilities; effective management of disruptions is critical to an organization's ability to weather disruptive events and remain competitive. Contingency planning is a method of risk management that promotes effective crisis management. This research tests proposed antecedents of contingency planning effectiveness in a supply chain setting. Design/methodology/approach -A survey method was used to gather data from 103 participants who are involved in their respective organization's contingency planning and implementation processes. The data were analyzed using partial least squares to examine relationships between contingency planning effectiveness, inter-organizational information technology (IT) use, cooperative attitude, and inter-organizational collaboration.Findings -The proposed model explains 87 percent of the variance in contingency planning effectiveness. The findings suggest that inter-organizational collaboration, inter-organizational IT use, and cooperative attitude directly impact contingency planning effectiveness. Inter-organizational collaboration mediates the relationships between the other antecedents and contingency planning effectiveness. Originality/value -Although effective contingency planning has been shown to influence positive outcomes, the relationship between contingency planning effectiveness and its antecedents is not well understood in extant literature. This study identifies and investigates key antecedents to contingency planning effectiveness and provides a foundation for continued investigation.

Information Technology, Mutual Trust, Flexibility, Agility, Adaptability: Understanding Their Linkages and Impact on Humanitarian Supply Chain Management Performance

“…PLS is a “regression‐based path modeling technique that estimates path coefficients and partials out variance for the model” (Hall, Skipper, Hazen, & Hanna, , p. 61). PLS was found to be very useful in earlier studies to analyse structural models with multiple item constructs (Lowry & Gaskin, ; Willaby, Costa, Burns, MacCann, & Roberts, ).…”

A structured review of partial least squares in supply chain management research

“…Third, we suggest that researchers calculate and report statistical power (e.g., as Hall et al (2012) and Reuter et al (2012) do) to demonstrate that their studies have an adequate amount of power (4 0.80) (MacCallum et al, 1996).…”

Collaboration as a Strategic Service in Government Online Communities

“…The service offered online is influenced by the users' IT skills, user learning curve, experience of visiting a site, and experience of collaborating with other users on a site (Prahalad & Ramaswamy, 2000). A priori, member users may not know if the service is good or bad (Hall et al, 2012). Yet, research on IS service has been focused on quality, SERVQUAL (Watson, Pitt, & Kavan, 1998), and service flow management (Wetzel & Klischewski, 2004).…”

“…Agency cost theory concentrates on the relationship between owners or shareholders (Principles) and managers (Agents). Agency problems occur when agents do not act in the best interests of principals (Hall et al, 2012). Institutional negotiated order Institutional theory posits that, 'structural and behavioral changes in organizations are driven less by competition and the desire for efficiency, but more by the need for organizational legitimacy' (DiMaggio & Powell, 1983;Huigang, Saraf, Qing, & Yajiong, 2007, p. 61;Xue, Huigang, & Boulton, 2008).…”

“…Despite the heavy commercial promotion of technologies reputed to enhance collaboration, such as Lotus Notes, the proposition that these do in fact facilitate better collaboration is not proven (Hall, Skipper, Hazen, & Hanna, 2012;Orlikowski, 1992). The research question posed is the extent to which, and how, specific information systems (IS) service innovations might facilitate effective collaboration (Kumar & van Dissel, 1996) amongst groups in online communities within and across government agencies.…”