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.

Soft systems methodology (SSM), an analytic method commonly employed in engineering and business research, produces models focused on human activities and relevant structures used to explain complex, engineered systems. The original version of SSM involves seven stages; five address real-world aspects and observable data, while two stages leverage a systems thinking viewpoint. This approach allows the development of a simplified depiction of complex systems representative of the multi-perspective lenses used to comprehend the systemic complexity of a problem and provide a clearer picture to analysts and decision makers. This bibliometric meta-analysis of 286 relevant publications in engineering, business, and other social sciences fields explores the historic impacts of SSM on academic research and systems thinking in relevant publications that described or employed SSM for research from 1980–2018. This study produced descriptive narrative outcomes and data visualizations including information about top SSM authors, author citation impacts, common dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.

This paper extends recent theoretical advances by merging service-dominant logic (S-D logic) and performance-based contracting (PBC). S-D logic is a conceptual frame of reference that defines supply chain knowledge and skill as its fundamental building blocks of strategic benefit. Cocreation of value between actors and beneficiaries is central to S-D logic and is measured through performance outcomes. PBC is a transformational departure from traditional supply chain strategies that focuses on delivering performance instead of goods and services. PBC has found increasing use in large-scale complex systems where the postproduction costs exceed the production cost, such as defense, transportation, and healthcare. These systems are commonly called sustainment-dominated systems (SDSs). We use systems theory and the Boardman Soft Systems Methodology to develop a systemigram that corresponds to the 11 foundational premises of S-D logic in the context of PBC. We also verify the use of the systemigram as an instrument to instantiate systems thinking and move S-D logic from an abstract framework to a more actionable framework. This paper provides managers and researchers a systematic insight into how investment into knowledge, skills, and the cocreation of value can drive improved SDS life-cycle affordability in the context of PBC.

Purpose: This study aims to empirically test the effects of key characteristics of performance-based contracting (PBC) (i.e. reward/payment scheme, increased supplier autonomy and transfer of responsibilities) on supplier goal commitment.Design/methodology/approach: This study developed a conceptual model applying goal-setting theory (GST), expectancy theory (ET) and job characteristics theory (JCT). Survey data were collected and analyzed using structural equation modeling (SEM) to establish a validated measurement instrument for testing the hypotheses.Findings: The findings revealed that PBC positively affects supplier goal commitment due to its unique characteristics, which translates into improved supplier performance. Furthermore, this study validated the mediating role of goal alignment and felt accountability operating between PBC characteristics and supplier goal commitment.Research limitations/implications: This study explored the buyer–supplier relationship from the supplier's standpoint. Using a more inclusive data set, future research may involve a dyadic analysis and focus on the effects of the following factors on the supplier goal commitment: relational aspects (e.g. trust and collaboration), the risk transfer from the buyer to the supplier, different incentive schemes and successful PBC implementation factors.Practical implications: This study presents new, validated insights for contract selection, design and management. It underlines the importance of choosing the proper contract, having the appropriate contract design based on the desired outcomes and effective contract management by exhibiting the psychological/behavioral effect of fundamental PBC characteristics.Originality/value: PBC represents an active research stream, but its psychological/behavioral implications are understudied. Therefore, this research puts forth a conceptual framework with multiple testable hypotheses illustrating the relationship between PBC and supplier goal commitment.

This article presents a fuzzy, multiattribute decision-making method to assist managers in making more informed technology refresh planning decisions; especially when evaluating large-scale complex sustainment-dominated systems. These types of systems have inherently long operational lives, thereby incurring multiple technology design refreshes throughout their extensive lifecycles. Strategically planning for these technology refreshes presents a significant engineering, business, and logistical challenge. Existing refresh planning models are limited as they do not consider a systems’ view when forming recommendations, which can lead to suboptimal decisions. The mathematical models developed in this article are the foundation of the fuzzy, multiattribute decision-making method that allows engineering managers to use a systems’ thinking approach to evaluate competing technology refresh options. When applied to multidisciplinary projects, the fuzzy, multiattribute decision-making method evaluates several competing and complementary redesign drivers, leading to more informed systems refresh recommendations.