5th European International Conference on Industrial Engineering and Operations Management

Supply Chain Agility, Complexity and Resilience: An Empirical Study of Blockchain-Technology Application in Indonesia Logistics Service Providers

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Track: Supply Chain Management
Abstract

Supply chain agility (SCA) and resilience (SCR) have become a very important topic and have been widely discussed in various scientific forums, especially during the covid-19 outbreak that hit various countries in the world. The agility relates to how a logistics service provider quickly responds to short-term changes in the market due to uncertainties in upstream and downstream supply chains;  Supply chain complexity refers to level of numerousness, variety, variability, and uncertainty exhibited by the services, processes, and network of logistics service provider; Supply chain resilience constitute the capability of a supply chain to prevent disruptions and to reduce the impact of disruptions through developing required level of readiness, quick response and recovery ability. The study intends to verify the effect of supply chain agility (SCA) on supply chain resilience (SCR) moderated by supply chain complexity (SCC). The study has used a quantitative approach and survey cross sectional method. The research model constructed by three variables namely supply chain agility (SCA) as independent or exogenous variable, supply chain complexity (SCC) as moderator variable, and supply chain resilience (SCR) as dependent or endogenous variable. Supply chain agility (SCA) has five indicators namely alertness, accessibility, decisiveness, swiftness, and flexibility. Supply chain complexity has three indicators namely product complexity, process flow complexity, and network complexity. Supply chain resilience has four indicators namely flexibility, redundancy, visibility, and collaboration. In collecting data, the study used electronic questionnaires (g-form), purposive sampling technique, and sample size 100 logistics service companies in Indonesia. The study examined two hypotheses by using SEM-PLS (Smart-PLS). The research’s implications were further discussed both practically and theoretically.

Keywords
Supply Chain Agility, Supply Chain Complexity, Supply Chain Resilience, Logistics Service Provider.

Published in: 5th European International Conference on Industrial Engineering and Operations Management, Rome, Italy

Publisher: IEOM Society International
Date of Conference: July 26-28, 2022

ISBN: 978-1-7923-9161-3
ISSN/E-ISSN: 2169-8767