A service platform for RFID technology adoption analysis in inventory control

Technology adoption is a practical exercise for technology and innovation management. Adopting an innovative technology often requires extensive intelligence research due to multi-perspectives towards technologies. In this paper, we present an implementation of a service platform for enabling such technology adoption analysis. The design principles for the service platform are proposed to identify value indicators for perceived value evaluation for RFID technology adoption analysis. An illustration is presented to demonstrate how to identify value indicators in facilitating RFID adoption in inventory control.published_or_final_versio

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Going Beyond Blockchain Adoption's Hype to Improve Supply Chain Sustainability: Evidence From Empirical and Modelling Studies

Potential solutions emerge with the fourth Industrial Revolution technologies, including the Internet of Things, Artificial Intelligence and Blockchain. The global supply chain requires greater traceability and transparency to ensure product security, efficient management and sustainable performance. However, traditional supply chains face several challenges related to traceability systems. This paper aims to analyse academic literature regarding Blockchain adoption in supply chains to improve traceability and transparency from a sustainable perspective. A systematic literature review was performed in order to provide verifiable evidence; we focused our investigation on empirical and modelling articles. Results suggest that Blockchain benefits occur through three levels: macro-level (overall supply chain network), meso-level (such as dyadic relationships) and micro-level (end consumers). However, we note that the contribution’s results have not yet reached a consensus. We have therefore proposed three research insights towards addressing the identified gaps

A Conceptual Foresight Model to Investigate the Adoption of Radio Frequency Identification Technology in the English National Health Service

Radio Frequency Identification Technology (RFID) adoption in healthcare settings has the potential to reduce errors, improve patient safety, streamline operational processes and enable the sharing of information throughout supply chains. RFID adoption in the English NHS is limited to isolated pilot studies. Firstly, this study investigates the drivers and inhibitors to RFID adoption in the English NHS from the perspective of the GS1 Healthcare User Group (HUG) tasked with coordinating adoption across private and public sectors. Secondly a conceptual model has been developed and deployed, combining two of foresight’s most popular methods; scenario planning and technology roadmapping. The model addresses the weaknesses of each foresight technique as well as capitalizing on their individual, inherent strengths. Semi structured interviews, scenario planning workshops and a technology roadmapping exercise were conducted with the members of the HUG over an 18-month period. An action research mode of enquiry was utilized with a thematic analysis approach for the identification and discussion of the drivers and inhibitors of RFID adoption. The results of the conceptual model are analysed in comparison to other similar models. There are implications for managers responsible for RFID adoption in both the NHS and its commercial partners, and for foresight practitioners. Managers can leverage the insights gained from identifying the drivers and inhibitors to RFID adoption by making efforts to influence the removal of inhibitors and supporting the continuation of the drivers. The academic contribution of this aspect of the thesis is in the field of RFID adoption in healthcare settings. Drivers and inhibitors to RFID adoption in the English NHS are compared to those found in other settings. The implication for technology foresight practitioners is a proof of concept of a model combining scenario planning and technology roadmapping using a novel process. The academic contribution to the field of technology foresight is the conceptual development of foresight model that combines two popular techniques and then a deployment of the conceptual foresight model in a healthcare setting exploring the future of RFID technology