RFID adaption in healthcare organizations: An integrative framework

Radio frequency identification (RFID), also known as electronic label technology, is a non-contact automated identification technology that recognizes the target object and extracts relevant data and critical characteristics using radio frequency signals. Medical equipment information management is an important part of the construction of a modern hospital, as it is linked to the degree of diagnosis and care, as well as the hospital\u27s benefits and growth. The aim of this study is to create an integrated view of a theoretical framework to identify factors that influence RFID adoption in healthcare, as well as to conduct an empirical review of the impact of organizational, environmental, and individual factors on RFID adoption in the healthcare industry. In contrast to previous research, the current study focuses on individual factors as well as organizational and technological factors in order to better understand the phenomenon of RFID adoption in healthcare, which is characterized as a dynamic and challenging work environment. This research fills a gap in the current literature by describing how user factors can influence RFID adoption in healthcare and how such factors can lead to a deeper understanding of the advantages, uses, and impacts of RFID in healthcare. The proposed study has superior performance and effective results

Factors influencing the mandatory adoption of RFID: An empirical investigation from Australian livestock industry

The purpose of this study is to examine the factors of RFID adoption in a mandatory environment.This paper presents the result of an empirical study that investigates the adoption behaviour of livestock farms in relation to Radio Frequency Identification (RFID) technology in the context ofAustralia. A mixed method consisting qualitative and quantitative research approach has been taken for this study. The finding of this study confirmed that external environment, technological characteristics, and organizational factors are significant for RFID adoption. Alternatively, expectations from RFID-adoption do not have an influence on RFID adoption when the adoption is mandatory

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

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

Selection process of auto-ID technology in warehouse management: A Delphi study

This thesis was submitted for the degree of Doctor of philosophy and awarded by Brunel UniversityIn a supply chain, a warehouse is a crucial component for linking all chain parties. Automatic identification and data capture (auto-ID) technology, e.g. RFID and barcodes are among the essential technologies in the 21st century knowledge-based economy. Selecting an auto-ID technology is a long term investment and it contributes to improving operational efficiency, achieving cost savings and creating opportunities for higher revenues. The interest in auto-ID research for warehouse management is rather stagnant and relatively small in comparison to other research domains such as transport, logistics and supply chain. However, although there are some previous studies that explored factors for the auto-ID selection decision in a warehouse environment, those factors (e.g., operational factors) have been examined separately and researchers have paid no attention to all key factors that may potentially affect this decision. In fact, yet there is no comprehensive framework in the literature that comprehensively investigates the critical factors influencing the auto-ID selection decision and how the factors should be combined to produce a successful auto-ID selection process in warehouse management. Therefore, the main aim of this research is to investigate empirically the auto-ID technology-selection process and to determine the key factors that influence decision makers when selecting auto-ID technology in the warehouse environment. This research is preceded by a comprehensive and systematic review of the relevant literature to identify the set of factors that may affect the technology selection decision. The Technology-Organisation-Environment (TOE) framework has been used as lens to categorise the identified factors (Tornatzky & Fleischer, 1990). Data were collected by conducting first a modified (mixed-method) two-round Delphi study with a worldwide panel of experts (107) including academics, industry practitioners and consultants in auto-ID technologies. The results of the Delphi study were then verified via follow-up interviews, both face-to-face and telephone, carried out with 19 experts across the world. This research in nature is positivist, exploratory/descriptive, deductive/inductive and quantitative/qualitative. The quantitative data were analysed using the statistical package for social sciences, SPSS V.18, while the qualitative data of the Delphi study and the interviews were analysed manually using quantitative content analysis approach and thematic content analysis approach respectively. The findings of this research are reported on the motivations/reasons of warehouses in seeking to use auto-ID technologies, the challenges in making an auto-ID decision, the recommendations to address the challenges, the key steps that should be followed in making auto-ID selection decision, the key factors and their relative importance that influence auto-ID selection decision in a warehouse. The results of the Delphi study show that the six major factors affecting the auto-ID selection decision in warehouse management are: organisational, operational, structural, resources, external environmental and technological factors (in decreasing order of importance). In addition, 54 key sub-factors have been identified from the list of each of the major factors and ranked in decreasing order of the importance mean scores. However, the importance of these factors depends on the objectives and strategic motivations of warehouse; size of warehouse; type of business; nature of business environment; sectors; market types; products and countries. Based on the Delphi study and the interviews findings, a comprehensive multi-stage framework for auto-ID technology selection process has been developed. This research indicates that the selection process is complex and needs support and closer collaboration from all participants involved in the process such as the IT team, top management, warehouse manager, functional managers, experts, stockholders and vendors. Moreover, warehouse managers should have this process for collaboration before adopting the technology in order to reduce the high risks involved and achieve successful implementation. This research makes several contributions for both academic and practitioners with auto-ID selection in a warehouse environment. Academically, it provides a holistic multi-stage framework that explains the critical issues within the decision making process of auto-ID technology in warehouse management. Moreover, it contributes to the body of auto-ID and warehouse management literature by synthesising the literature on key dimensions of auto-ID (RFID/barcode) selection decision in the warehouse field. This research also provides a theoretical basis upon which future research on auto-ID selection and implementation can be built. Practically, the findings provide valuable insights for warehouse managers and executives associated with auto-ID selection and advance their understanding of the issues involved in the technology selection process that need to be considered.Damascus University, Syria and The British Council, Mancheste

Current adoption and future use of RFID tags

The adoption of technology depends on the perceived value of the technology to the business. Radio Frequency Identification (RFID) technology, a contactless and short distance wireless communication, has been adopted across a spectrum of retailers and retail merchandise, particularly since 2003 when Wal-Mart instituted requirements to their top 100 suppliers to start using this technology. Retail merchandisers from the first introduction of item level RFID and supply chain management requirements to vendors and within stores at Wal-Mart have seen the benefits and challenges of adding RFID technology. Modern RFID sensors, specifically for retail, are made with a high memory capacity that is superior to a typical barcode. Store level RFID has improved with newer label readers for stacks of garments, improvements to identify inventory outages and mapping the stores to improve store merchandise placement. Design, Housing and Merchandisin

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

Adoption factors of RFID in a voluntary environment: An empirical investigation from Australian livestock industry

The objective of this study is to investigate the contributing factors for Radio Frequency Identification (RFID) adoption in a voluntary setting. Adopting a mixed method consisting both qualitative and quantitative approaches, the findings of this study reveals that external pressure, RFID costs, and management attitude toward RFID are the main factors to intend to adopt RFID. Moreover, expectations from RFID use are significantly important for its adoption

RFID adoption in healthcare organizations in UAE

Radio frequency identification (RFID) is currently regarded as one of the most promising technologies, and considered as one of the sixteen key technologies in the coming decade, specifically in terms of its use, pervasiveness, market demand and commercial availability. RFID is perceived as critical technology for many purposes and applications, such as improving the efficiency and effectiveness in business operations and improving customer service. This research therefore has a hedonic motivation in developing an incorporated view of theoretical framework to identify factors that affect RFID adoption in healthcare and providing an empirical analysis of the effect of both organizational and individual factors on the diffusion of RFID based on the health care industry. Unlike other studies, the current study places more attention on individual factors in addition to the organizational factors and technological factors in an attempt to better understand the phenomenon of RFID adoption in health care, which is described as a complex and a very demanding work environment. This study serves to fill a gap in the existing literature through explaining of how user factors can contribute to the adoption of RFID in healthcare and how such factors might lead to better understanding of the benefits, use and impacts of RFID in health care sector