Blockchain technology developed as a technical platform for electronic money. It is now considered a next generation information technology tool for sustainable growth in supply chain (SC) management. However, its study is relatively rare in the literature on SC collaboration and sustainability management research, despite its advantages in sustaining connectivity and reliability among SC partners. This study investigates how the use of blockchain in SC activities can influence (increase or decrease) SC partnership efficiency and growth, thereby affecting SC performance outcomes. Specifically, this study empirically validates a measurement and structural equation model with 306 SC experts from various industries. The findings show that the blockchain technology characteristics (information transparency, information immutability, and smart contracts) have significant positive effects on partnership growth and marginal effects on partnership efficiency. Though partnership growth has a positive effect on firm performance, partnership efficiency shows a negative effect.

With increasing numbers of nodes and links in supply network relationships, understanding partnership management and the required level of collaboration is important for sustainable supply network alignment. This study explores the impact of partnership orientation on partnership commitment and firm performance using a model based on social capital theory and resource dependence theory. It aims to understand the appropriate partnership orientation for the desired level of commitment and firm performance, including innovation, operational, and financial performance. Using a survey of 423 respondents representing three different partnership structure types (supplier, buyer, and parallel-aligned firms' perspectives), the relationship between partnership orientation and commitment in enhancing firm performance is investigated using structural equation modeling. Additional analysis identifies the moderating role of commitment and investment exchange on performance. The findings show that positive relationships between both investment and contractual-based partnership orientation positively contribute to partnership commitment, but the direct association between partnership commitment and firm performance type varies by partnership structure. Furthermore, (i) investment exchange level moderates the relationship between commitment and innovation and operational performance regardless of partnership structure type, (ii) negative investment exchange signals higher firm performance from the buyer firm's perspective, and (iii) positive investment exchange is absolutely necessary for financial performance from the supplier firm's perspective.

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The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM approaches, is proposed for investigating and identifying a set of key performance measures of resilience for supply chain (SC) management. In line with previous research, we identified and updated 13 key SC capabilities out of 24 as core performance measures of supply network resilience. Furthermore, our findings categorised each capability and element into one of four types of influential power variables (drivers, dependent, autonomous, or linkage). This study (i) lends support to and updates previous research that examined the core capabilities of SCRES and (ii) provides complementary classifications for the influential powers of SCRES capabilities and elements. The literature indicates that there has been no research that has integrated SLR as a basis to ISM for an effective way to utilize existing studies for increasing awareness and developing managerial guidelines to achieve SCRES.

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