Translated Abstract
Supply chain risk (SCR) and supply chain risk management (SCRM) has received increasing attention from academic researchers and practitioners in recent years as the supply chain environment is becoming more and more risky nowadays. However, our knowledge of the identification and assessment of SCR, and how firms implement SCRM within the supply chains, is still very limited. This research is an effort to fill in the gaps existed in SCRM literature by developing and empirically testing multiple theory-based models of SCR identification, assessment, SCRM competence and their impact on performance based on the data collected from 181 manufacturing companies in China. This dissertation consists of the following three complementary and correlated studies.
In our first study (Chapter 2), the assessment model of SCR is developed and operationalized. SCR is conceptually defined as a multi-dimensional constructs including five complementary risks: supply risk, demand risk, internal process risk, internal control risk and environment risk. For each dimension of SCR, it is impacted by both the perception of probability of risk and magnitude of risk. Our evidence shows that in order to manage SCR, firms need to identify all dimensions of SCR and assess them appropriately. The operationalization of each dimension of SCR was also investigated, and reliable and valid multi-item measurements were developed using the rigorous two-step new scale development method. These measurements provide theoretical and empirical foundations for further empirical SCR research.
Our second study (Chapter 3) empirically investigated the sources of supply risk from product, demand and supply market characteristics perspectives. We found that product complexity, demand turbulence and supply market dynamism have positive impact on the perception of probability of supply risk, while only demand turbulence and supply market dynamism have impact on magnitude of supply risk. Demand turbulence is the most significant antecedents for both probability and magnitude of supply risk, followed by supply market dynamism. Our result also support that the assessments of overall supply risk is affected by both the perception of probability and magnitude of supply risk, but probability of supply risk plays a more important role. For the negative impact of supply risk on performance, customer satisfaction is negatively affected by supply risk, but the impact on financial performance is not significant.
In Chapter 4, our third study revealed that SCRM competence, which reflects an expertise that enables an organization to deploy resources and routines to manage and mitigate SCR, is a multi-dimensional construct reflected by the following four complementary first-order constructs: SCRM culture, SCRM strategy integration, risk-related information sharing, and continuous risk analysis and assessment. Each of these dimensions is of the same importance for improving SCRM competence. In addition to providing survey instruments for each of these dimensions that can be used by SCRM scholars and supply chain managers to mitigate SCRs, we also demonstrate that firms’ customer satisfaction and financial performance would be improved greatly by improving SCRM competence using Partial Least Square (PLS) and empirically validated measures.
Theoretically, this research contributes the literature in three aspects: first, it is one of the first studies in SCR literature to operationalize SCR dimensions and develop multi-item measurement scales for each SCR dimension. Our study also provides new insights in supply risk assessment by separating supply chain risk with probability of supply chain risk and magnitude of supply chain risk. These reliable and valid measurements and the well-structured framework provide theoretical and empirical foundation for supply chain researchers to further the empirical study which are vital for theory development in SCRM. Second, while previous research mainly focus on the role of disasters, attacks and other catastrophic disruptions, our study considers product attributes, demand attributes and supply market attributes as antecedents of supply risk. Third, this study provides a well-structured SCRM model by summarizing major dimensions of SCRM strategies and formed the SCRM competence. We also develop multi-item measurements for SCRM competence. This SCRM competence model contributes the SCRM theory development by integrating those important philosophies and strategies of SCRM but not studying them independently, which provide guidance for further SCRM theory development. The managerial implications provided by this research will help supply chai managers enhance their SCRM competence by identifying, assessing and managing SCR appropriately.
Translated Keyword
[Supply chain risk Risk identification Risk assessment Supply chain risk management Exploratory empirical study]
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