Purpose The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship. Design/methodology/approach The paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature. Findings The findings of this study outline the gaps in the SCRES literature and present an agenda for future research. Research limitations/implications This paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives. Practical implications The typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs. Originality/value The paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

Purpose -Performance-based logistics (PBL) strategies are providing governments and for-profit organizations with a contractual mechanism that reduces the life cycle costs of their systems. PBL accomplishes this by establishing contracts that focus on the delivery of performance not parts. PBL establishes a metric based governance structure where suppliers make more profit when they invest in logistics process improvements, or system redesign, that reduces total cost of ownership. While work has been done to outline an overall PBL theoretical framework, the underlying theory explaining the enablers that lead to organizational and team-level, team-goal alignment associated with the PBL governance structure requires testing. The purpose of this paper is to quantitatively test previously posited relationships between enablers of PBL and PBL effectiveness. An additional objective is to explore any differences in PBL effectiveness between different business sectors. Design/methodology/approach -A multiple regression model was developed, tested and validated to explain the effectiveness of PBL. The model was externally validated with exploratory cross-sectional survey data of 61 practitioners. Findings -This study strongly supports recent PBL theory explaining PBL effectiveness. Key antecedents include investment climate, relational exchange, PBL leadership, and business sector. Further, government organizations lag behind their commercial counterparts in PBL effectiveness and PBL leadership. Practical implications -PBL business arrangements are more effective in more favorable investment climates. Thus, leaders should welcome new ideas, empower employees, and encourage entrepreneurship. Since PBL effectiveness increases with relational exchange, building trust and communicating with suppliers is key. Leadership is also important to PBL effectiveness. Leaders should accept risk, focus on long-term affordability and performance, and align activities to achieve end-user goals. Originality/value -This research is the first quantitative test of previously posited factors affecting PBL effectiveness. Additionally, this research unveils key differences in business sectors' use of PBL strategies.Keywords Logistics management, Leadership, Performance-based logistics, Investment climate, Sustainment, Outcome-based contracting, Post-production support, Logistics, Supportability Paper type Research paper IntroductionThe post-production logistics and product support costs associated with sustaining large-scaled, complex systems such as aircraft fleets, rail, and power generation facilities quite often exceed two to three times the research, development, and production costs associated with these systems (Berkowitz et al., 2003). Adding complexity to this costly reality is the fact that as systems age post-production logistics and support costs tend to increase (MaClean et al., 2005). These costs represent a significant logistics-related segment of the economy. For instance, the US commercial airline industry spends in ex...

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