Together with numerous benefits that were brought about by the transition from the silo enterprise perspective towards the process-based supply chain view of contemporary business, new sources of risk appeared due to the complex systemic nature of the supply chains. The need to reduce the increased level of supply chain vulnerability has been identified as a key research issue in the domain of supply chain management. In this paper, a novel value-focused process engineering methodology for process-based supply chain risk identification is proposed with the aim to increase value to supply chain members and supply chain as a whole. The proposed methodology is illustrated with a generic supply chain scenario example. #

PurposeUsing the assumptions of the resource-based view, relational view and swift, even flow theories and the overarching principles of supply chain management, the study aims to test the role of information technology (IT) capability (cross-functional application, supply chain application and data consistency) in enabling supply chain integration (SCI; internal, customer and supplier integration) and the impact of SCI on firm's operational performance in terms of quality, delivery, production cost, inventory level, customer service and product-mix flexibility.Design/methodology/approachThe structural equation modeling approach is used to test theoretical predictions underlying the relationship among dimensions of IT capability, SCI and operational performance based on data obtained from senior executives of 108 large manufacturing firms listed in the Tokyo Stock Exchange.FindingsThe results suggest that IT capability has positive impact on SCI, except for data consistency, which is found to have negative impact on internal integration. The results further indicate that SCI, especially customer integration, has positive and significant impact on all operational performance indicators.Practical implicationsThe findings inform future initiatives associated with the SCI improvement via specific IT capabilities. When undertaking such initiatives, managers are advised to consider the differential impact of the following IT capabilities on SCI: cross-functional applications, supply chain applications, and data consistency capability.Originality/valueThe study makes an empirical contribution to the body of knowledge by demonstrating the value of the multidimensional representation and analysis of IT capability, SCI, and operational performance given a differential and even opposed influence by some of the dimensions in specific business contexts.

Purpose Based on the emerging view of supply chains as complex adaptive systems, this paper aims to build and test an analytical model for resilience assessment surrounding supply chain risks at the level of the supply chain system and its individual tiers. Design/methodology/approach To address the purpose of this study, a multimethod research approach is adopted as follows: first, data envelopment analysis (DEA) modelling and fuzzy set theory are used to build a fuzzy network DEA model to assess risk resilience of the overall supply chains and their individual tiers; next, the proposed model is tested using a survey of 150 middle- and top-level managers representing nine industry sectors in Iran. Findings The survey results show a substantial variation in resilience ratings between the overall supply chains characterizing nine industry sectors in Iran and their individual tiers (upstream, downstream and organizational processes). The findings indicate that the system-wide characteristic of resilience of the overall supply chain is not necessarily indicative of the resilience of its individual tiers. Practical implications High efficiency scores of a number of tiers forming a supply chain are shown to have only a limited effect on the overall efficiency score of the resulting supply chain. Overall, our research findings confirm the necessity of adopting both the system-wide and tier-specific approach by analysts and decision makers when assessing supply chain resilience. Integrated as part of risk response and mitigation process, the information obtained through such analytical approach ensures timely identification and mitigation of major sources of risk in the supply chains. Originality/value Supply chain resilience assessment models rarely consider resilience to risks at the level of individual supply chain tiers, focusing instead on the system-wide characteristics of supply chain resilience. The proposed analytical model allows for the assessment of supply chain resilience among individual tiers for a wide range of supply chain risks categorized as upstream, downstream, organizational, network and external.

Purpose – The current state of theory-building in the field of operations and supply chain management (OSCM) is in a strong need of rigorous, empirically based theories that enhance understanding of the causal relationships between the structural elements and properties of the business processes. In this research note the authors propose the critical realism (CR) philosophy of science as a particularly suitable philosophical position (not to the exclusion of others) to review the mechanisms of OSCM knowledge generation and to provide philosophical grounding and methodological guidance for both OSCM theory building and testing. Design/methodology/approach – To demonstrate potential benefits of CR-based structured approach to knowledge generation in OSCM research, this conceptual paper uses a case study that illustrates the adoption of one of the OSCM theories – i.e. the theory of swift, even flow. Findings – CR interprets the accumulated empirical information about OSCM phenomena as observable manifestations of the underlying causal mechanisms that cannot be perceived otherwise. CR can provide epistemological support to the choice of performance measures that manifest the underlying causal mechanisms of interest. Extensive accumulation of empirical data from multiple innovative sources will not dramatically add to understanding of the system under investigation, unless and until the underlying causal mechanisms that trigger the observed behaviour are identified and tested. The CR abductive mode of reasoning emphasises the role of uncertainty in complex process behaviours and can facilitate enrichment and refutation of OSCM theories. Originality/value – CR has a clear potential to contribute to OSCM research by enabling better understanding of causal relationships underlying complex behaviours of different elements of business process by providing robust and relevant mechanisms of generating knowledge about business processes that explicitly link empirical and causal aspects of theory building and testing.

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