The Digital Supply Chain of the Future: Applications, Implications, Business Models
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Item Understanding Factors Affecting the Adoption of ICT-Enabled Sustainable Supply Chain Management Practices(2022-01-04) Yao, Chenxin; Peng, Xiang; Kurnia, Sherah; Rahim, MahbuburIn recent years, a growing number of organizations have introduced sustainable supply chain management (SSCM) practices to enhance their economic, environment and social performance. SSCM practices are supported by information and communication technologies (ICT) to facilitate the coordination among the supply chain partners. Despite the importance of ICT-enabled SSCM practices, their adoption factors are still understudied. This study thus investigates factors affecting the adoption of ICT-enabled SSCM practices, using the Australian food industry as the study context. Through multiple case studies, we identify fifteen factors at the national, industry, supply chain, and organizational levels, including two new factors: environmental uncertainties and ICT resources of supply chain partners. Competitive pressure, though identified in the literature, is not found to be influential in our study. This study offers several implications to research and practice in SSCM.Item Towards a Taxonomy of API Services in Logistics(2022-01-04) Möller, Frederik; Stachon, Maleen; Jussen, Ilka; Schweihoff, Julia; Van Der Valk, Hendrik; Schmidt, Michael; Handrup, StephanieData are a valuable asset for companies in the logistics sector to optimize internally and develop new business models. They can be like a magnifying glass and make previously opaque logistical processes transparent and find previously hidden potentials for optimization. Typical applications are tracking of the transport status, route optimization, or monitoring of pharmaceutical products, or monitoring shocks for fragile cargo along the trade lanes. One way to use data is to tap into publicly or commercially available Application Programming Interfaces. Hereby, logistics service providers can get or provide data automatically via a machine-to-machine interface. However, the landscape of API service providers is vast, unstructured, and intransparent in terms of potential data that companies can leverage. Given their high potential for the logistics industry, the paper proposes a taxonomy of API services in logistics based on the inductive analysis of three API databases.Item Propositions on Motivating Supply Chain Frontline Workers in Research Crowdsourcing(2022-01-04) Liñan-Jimenez, Isidro; Sternberg, Henrik Steen; Summer, James; Mindel, VitaliCrowdsourcing projects that engage intrinsically motivated volunteers and are aimed at endeavors such as policy making, research, and social activism, need to understand how to create sustained engagement in their initiatives. We explore what happens when a group of homogeneous volunteers are exposed to heterogeneous beneficiaries. Previous research has presented anecdotal evidence suggesting that truck drivers have strong opinions against foreigners. However, our study finds no support for such notion, as it appears that truck drivers’ view their profession as a stronger group in line with social identity theory.Item Knowledge networks for adoption of additive manufacturing: The role of maturity(2022-01-04) Haug, Anders; Wickstrøm, Kent Adsbøll; Stentoft, Jan; Philipsen, KristianAdditive manufacturing (AM) has had a significant impact on manufacturing processes in many industries. The implementation of AM technology, however, involves several knowledge-related challenges, particularly for small and medium-sized enterprises (SMEs). We explore this topic by developing a theoretical model with the hypotheses that acquiring AM knowledge from networks is associated with competitive advantages from AM, and that this relationship can partly be explained by AM maturity. We test our model through a survey of Danish manufacturing SMEs. The findings show that AM knowledge acquisition from networks is positively associated with competitive advantages from AM, where around 40 percent of this relationship is explained by higher AM maturity. Furthermore, the findings suggest that different types of knowledge networks have different effects on AM maturity and competitive advantages from AM.Item Decentralized procurement mechanisms for efficient logistics services mapping - a design science research approach(2022-01-04) Henry, Tiphaine; Beck, Roman; Laga, Nassim; Gaaloul, Walid; Pan, ShenleCompanies tend to outsource logistics services for flexibility or platform operating costs reduction. To do so, they typically use centralized platforms to delegate the services procurement process. However, those platforms can be prone to information asymmetries between carriers and shippers which can lead to sub-optimal procurement outcomes. A more transparent and efficient way to manage the procurement of logistics services between carriers and shippers could be a decentralized platform based on blockchain and smart contracts. In this paper, we design, implement, and evaluate the potential for a decentralized logistics services procurement system, following a design science research approach. In so doing, we contribute by (1) developing such a decentralized logistics services procurement system that addresses the allocation problem, and (2) developing a set of nascent design principles guiding the elaboration of decentralized procurement mechanisms on blockchain.Item Beyond Task-technology Fit: Exploring Network Value of Blockchain Technology Based on Two Supply Chain Cases(2022-01-04) Prockl, Günter; Roeck, Dominik; Jensen, Thomas; Mazumdar, Somnath; Mukkamala, Raghava RaoDespite the popularity of blockchain technology in the supply chain domain, cases with adoption beyond the pilot phase are limited. Even though technology fit is essential for blockchain adoption, we find network fit to be equally important for participating companies in a network. This research explores how the network affects value creation beyond a technology fit. Studying two cases, one from the gemstone industry and another from the shipping industry, we use the task technology fit model, network effects, and structural embeddedness as theoretical lenses to explore the fit that leads to the success of blockchain adoption. Our investigation reveals the task technology fit as a prerequisite and shows central organizations acting as initiators in the early phase, trying to extend the network in subsequent phases. Our investigation indicates that the network fit, autonomy, and equivalence of the organizations contributed to the successful adoption of blockchains.Item Introduction to the Minitrack on The Digital Supply Chain of the Future: Applications, Implications, Business Models(2022-01-04) Pflaum, Alexander; Bodendorf, Freimut; Prockl, Günter; Chen, Haozhe