RFID in the supply chain: lessons from European early adopters

Purpose Radio frequency identification (RFID) is increasingly being presented as a technology with the potential to improve supply chain performance, but empirical evidence from early adopters is sparse. This paper aims to rectify this scarcity and contribute to a more informed discussion in and between academic and practitioner communities. Design/Methodology/Approach The paper is based on a conceptual model of factors influencing the success of adoption efforts. It then reports the results of a survey of 612 European supply chain managers, focusing on the 128 respondents who have begun RFID trials. Findings A significant influence on operational deployment is the presence of mandates from key customers requiring the technology’s use. Customer mandates also impact the anticipated benefits of a faster sales cycle and of enhanced systems integration, though the relationships are complex. By contrast, greater cost reduction benefits are anticipated in two industries where mandates are less common – industrial goods and logistics. Perceived organizational innovativeness positively impacts anticipated ROI from RFID. Companies adopting a ‘slap and ship’ approach are less likely to anticipate pricing benefits than those integrating RFID into enterprise systems Research Limitations/Implications The limitations of the paper include the limited sample size of early adopters. In addition, qualitative research is needed into RFID supply chain applications and into different approaches to IS integration of RFID, to inform future survey work. Practical Implications This paper informs supply chain managers and senior decision makers who are examining the potential of RFID technology. It offers guidance on what issues to look for when adopting this technology, approaches to take and the benefits that might be accrued. Originality/Valuer This paper offers a major contribution to understanding the current status of the adoption of RFID in European supply chains. This understanding is put in the context of the wider literatures on supply chain management and the adoption of information systems and te

Supply Chain Business Process And IT Infrastructure Support For Cultivating Absorptive Capacity Capability: A Cluster Analysis Study

This study looks at organizations’ perceptions of the importance of absorptive capacity attributes in the deployment of radio frequency identification (RFID) in a supply chain and their relationships with supply chain process integration and information technology infrastructure support. Data for this pilot research study was collected using a survey questionnaire administered online to members of the Council of Supply Chain Management Professionals (CSCMP). Both two proposed hypotheses were supported in this study using the cluster data analysis procedure. The ability to cultivate absorptive capacity attributes, indeed, are positively associated with both IT infrastructure integration and supply chain process integration

Blockchain Technology Based Supply Chain Systems and Supply Chain Performance: A Resource-Based View

Blockchain technology (BCT) is set to transform firms’ present ways of managing supply chains. This thesis explores how the efforts by firms to integrate BCT into their supply chain systems and activities, can enable certain supply chain capabilities and subsequently, improve supply chain performance. Using an abductive research approach, qualitative content analyses of 126 cases of firms’ efforts in BCT-based supply chain systems (BCT-SCS) across multiple industries are conducted to identify the BCT-enabled supply chain capabilities and their performance outcomes. Findings reveal that the present BCT-SCS efforts are mainly oriented towards improving the operational-level capabilities namely, information sharing and coordination capabilities rather than strategic-level capabilities namely, integration and collaboration capabilities. The predominant performance outcomes resulting from these capabilities along with the BCT-SCS are quality compliance and improvement, process improvement, flexibility, reduced cost, and reduced process time. However, the performance outcomes vary with industry type, based on the risks that the industry faces. Based on the study’s findings, an integrated framework of research propositions is presented to facilitate future empirical research

Feasibility Study of RFID Technology for Construction Load Tracking

INE/AUTC 10.0

A human-centric perspective exploring the readiness towards smart warehousing: the case of a large retail distribution warehouse

YesThe explosive rise in technologies has revolutionised the way in which business operate, consumers buy, and the pace at which these activities take place. These advancements continue to have profound impact on business processes across the entire organisation. As such, Logistics and Supply Chain Management (LSCM) are also leveraging benefits from digitisation, allowing organisations to increase efficiency and productivity, whilst also providing greater transparency and accuracy in the movement of goods. While the warehouse is a key component within LSCM, warehousing research remains an understudied area within overall supply chain research, accounting for only a fraction of the overall research within this field. However, of the extant warehouse research, attention has largely been placed on warehouse design, performance and technology use, yet overlooking the determinants of Artificial Intelligence (AI) adoption within warehouses. Accordingly, through proposing an extension of the Technology–Organisation–Environment (TOE) framework, this research explores the barriers and opportunities of AI within the warehouse of a major retailer. The findings for this qualitative study reveal AI challenges resulting from a shortage of both skill and mind-set of operational management, while also uncovering the opportunities presented through existing IT infrastructure and pre-existing AI exposure of management

A Framework for the Implementation of RFID Systems

There are an increasing number of organizations planning to implement Radio Frequency Identification (RFID) systems to enhance their competitiveness. Due to the novelty of the technology, many managerial challenges exist in determining and planning for the implementation of such systems. These challenges often lead to wasted efforts and resources, as well as to failed implementations. This paper presents a systematic and holistic RFID implementation framework which has been validated by both users and experts. The framework outlines the important tasks to be performed in each step of the implementation process. To enable practitioners to make informed go/no‐go decisions, essential considerations of implementation are also discussed in this paper. Furthermore, the critical success factors for the deployment of such systems are also elaborated

Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?” The goal of this research is to collect the most appropriate literature to help create a conceptual framework, which involves the integration of the IoT and AI applications into contemporary supply chain management with the emphasis on the logistics management. Additionally, the role of 5G Network is closely studied in order to indicate its capabilities and the processing capacity that it can provide to the AI and IoT operations. In addition, the semi-structured online interview with the top managers from several companies was conducted in order to identify the degree of readiness of the companies for the AI and IoT applications in SCM. From the retrieved results, the major challenges of integrating the IoT into SCM are the security and privacy issues, the sensitivity of the data and high costs of the implementation at an initial stage. Moreover, the research results have shown that the IoT applications can positively affect the SCM activities, in particular, the high visibility across the SC, an effective traceability and an automated data collection. Furthermore, the predictive analysis of AI programs can help the SCM to eliminate the potential errors and failures in the processes.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

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

Contributing Factors in the adoption of RFID in Emergency Management: A Multiple Case study

By presenting emergency management organizations of developed countries as early adopter of RFID in emergency management, this paper aims to minimize the disastrous impacts of emergencies currently faced by mankind; especially in developing countries. We conduct a study in the context of RFID adoption in emergency management and seek to answer the question - What are the contributing factors in the adoption of RFID in emergency management? In order to answer this question, a research framework is proposed by using a rather loose interpretation of task-technology fit (TTF) model. Multiple case study method has been employed to explore the contributing factors of RFID adoption. It is anticipated that the findings of this research will not only enhance the research in technology adoption, but also assist the emergency management organizations to better plan the adoption of pertinent technologies such as RFID for emergency operations