Background: Research on Additive Manufacturing [AM] provides few guidelines for successful adoption of the technology in different market environments. This paper seeks to address this gap by developing a framework that suggests market attributes for which the technology will successfully meet a need. We rely on classical technology adoption theory to evaluate the challenges and opportunities proffered by AM. Methods: We apply a framework of technology adoption and assess these parameters using seven case studies of businesses that have successfully adopted AM technology. Results: We find that successful business adoption is highly associated with the relative advantage of AM to rapidly deliver customized products targeted to niche market opportunities. Conclusions: Our findings provide a decision framework for AM equipment manufacturers to employ when evaluating AM technology across various market environments. All five adoption characteristics were found to be important however, the
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Abstract
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This research investigates the need of blockchain in Industry 4.0 environment from Big Data perspective in supply chain management. The research method used in this study involves a combination of an Action Research method and Case Study research. More specifically, the action research method was applied in two industry case studies that implemented and tested the designed architecture in a global logistics environment. Case Study A examined the blockchain application in cross-border cargo movements whereas Case Study B investigated the application in a liquid chemical logistics company serving to petroleum industries. Our research analysis has identified that the Case A subject had disconnected systems and services for blockchain wherein the big data interactions had failed (failure case). Whereas in Case B, the company has achieved nearly 25% increase in revenue through its customer serv