Antecedents of Continuance Intention of RFID Technology in Western Australian Farms

In literature, adoption and continuance of an innovation have been considered as discrete events and discussed in separate models. This study argues that these are interrelated and continuous processes. The objective of this study is to investigate the adoption and continuance behaviour of a technological innovation in a single framework taking Radio Frequency Identification (RFID) as the context. Applying the quantitative research approach, this study finds that external environment, the technology itself, and the organization factors influence RFID adoption whereas the continuance of RFID technology is dependent on confirmation and satisfaction from using the technology. Moreover, confirmation is the immediate next stage of adoption where the adopters justify their adoption decision and take required actions and/or adjustments. Data were analysed using Partial Least Square (PLS)- based Structured Equation Modelling (SEM) tool. The discussion and implications on the findings are discussed in detail

Determinants of continuance intention of RFID in Australian livestock industry: An empirical study

The purpose of this study is to develop and refine a theoretical framework to examine the continuance intention of Radio Frequency Identification (RFID) technology in Australian livestock industry. A mixed-method research approach, consisting qualitative and quantitative, has been taken for this study. The findings of this study show that the continued RFID usage intention is influenced by satisfaction from current use, and confirmation of expectations. As a practical contribution, the findings of this study can be addressed by the Australian agricultural agencies as an acid-test of its current and future mandatory RFID policy. Policymakers can compare their experience with the findings of this study, evaluate the past, and reassess the future. As a theoretical contribution, this study is a first of its kind considering and incorporating 'adoption' in a confirmation-satisfaction framework to examine the continued usage behaviour of RFID

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

A framework for the successful implementation of food traceability systems in China

Implementation of food traceability systems in China faces many challenges due to the scale, diversity and complexity of China’s food supply chains. This study aims to identify critical success factors specific to the implementation of traceability systems in China. Twenty-seven critical success factors were identified in the literature. Interviews with managers at four food enterprises in a pre-study helped identify success criteria and five additional critical success factors. These critical success factors were tested through a survey of managers in eighty-three food companies. This study identifies six dimensions for critical success factors: laws, regulations and standards; government support; consumer knowledge and support; effective management and communication; top management and vendor support; and information and system quality

Conceptual Model of Big Data Technologies Adoption in Smart Cities of the European Union

Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</p

Drivers of RFID Adoption in the Automotive Industry

The automotive industry is confronted with increasing competition, leading to higher cost pressures and the demand to optimize production processes and value chains. Here the RFID technology promises to improve a range of processes in logistics and manufacturing. Despite its promising potential in the automotive industry, RFID has not yet made a decisive step from pilots to real-life implementations in the supply chain. Building on existing models of technology adoption, we analyze RFID adoption dynamics in the automotive industry. Building on existing IOS adoption models tailored to RFID specifics and based on ten semi-structured interviews with OEMs and suppliers, we evaluate main drivers of RFID adoption in the automotive industry. Our key findings are that the use of a coercive approach by the OEM could be redundant because of the market-driven RFID adoption among many suppliers. Furthermore, suppliers implementing RFID can now gain an early mover competitive advantage by developing higher trust in their relationship with the OEM as well as accumulating unique expertise in this area

RFID Technology Adoption in New Zealand’s Supply Chains: A Case Study Approach

The reasons for reluctance or hesitation in deploying radio frequency identification for supply chain management (RFID/SC) may rely upon firms’ ability to innovate. This paper presents the findings of a study of adoption of RFID in New Zealand’s supply chains. Three ability factors were found to be important in the adoption of the technology: Compatibility, Facilitating Condition, and Readiness. This study argues that applying these factors to the firm and its environment helps to evaluate the issues surrounding the firm’s ability to innovate. For example, it was found that RFID was simply not suitable in some business scenarios; RFID technology was not compatible with some existing supply chain applications; it was perceived there was little support for the deployment of RFID at various points in a supply chain; and supply chain partners were waiting for each other to deploy or initiate RFID. This paper follows on a previous survey on the uptake of RFID in New Zealand’s supply chains and discusses some of the challenges that firms face when evaluating the use of RFID/SC. We found some relationships between adoption factors that are worth pursuing. For example, it was found that Compatibility, Facilitating Condition, and Readiness are key “ability” factors affecting RFID adoption. Available at: https://aisel.aisnet.org/pajais/vol2/iss2/5

A Two-Dimensional Framework for RFID Adoption and Diffusion: Strategic Implications for Developing Countries

Although there has been a growing interest in studying RFID in various application areas, little research has been undertaken to address applications in developing countries. Among the research that has been undertaken in developing countries, organizational perspectives have received considerable attention but less has been undertaken from other perspectives such as industry and country level. In this paper, a literature study of RFID adoption from different perspectives is presented and focuses on the stages of adoption, level of analysis, and issues of developing countries. A stage-scale (2S) framework is proposed to help identify relevant success factors in RFID adoption and diffusion, as well as its relation to other factors. It is concluded that the proposed framework is useful in providing a broad view of RFID adoption and in observing the dynamic changes in RFID issues from different stages, which is useful for policy and decision makers. Based on this framework, most factors of RFID adoption in developing countries fall within the preliminary stage, while the factors that are shared with developed countries are mostly situated in intermediate stages

Adoption of AI-empowered industrial robots in auto component manufacturing companies

The usage of AI-empowered Industrial Robots (InRos) is booming in the Auto Component Manufacturing Companies (ACMCs) across the globe. Based on a model leveraging the Technology, Organisation, and Environment (TOE) framework, this work examines the adoption of InRos in ACMCs in the context of an emerging economy. This research scrutinises the adoption intention and potential use of InRos in ACMCs through a survey of 460 senior managers and owners of ACMCs in India. The findings indicate that perceived compatibility, external pressure, perceived benefits and support from vendors are critical predictors of InRos adoption intention. Interestingly, the study also reveals that IT infrastructure and government support do not influence InRos adoption intention. Furthermore, the analysis suggests that perceived cost issues negatively moderate the relationship between the adoption intention and potential use of InRos in ACMCs. This study offers a theoretical contribution as it deploys the traditional TOE framework and discovers counter-intuitively that IT resources are not a major driver of technology adoption: as such, it suggests that a more comprehensive framework than the traditional RBV should be adopted. The work provides managerial recommendations for managers, shedding light on the antecedents of adoption intention and potential use of InRos at ACMCs in a country where the adoption of InRos is in a nascent stage