Drivers and Impacts of R&D Adoption on Transport and Logistics Services

Actually, technologies and applications in industries are changing via business restructuring, new business models, new knowledge and supply chains. So R&D is not focused primarily on manufacturing industry as it used to be, but on different kinds of industries as logistics and transport (TLS). Nevertheless, the characteristics of the TLS industry determine the introduction of specific R&D solutions accordingly to sectors operations. The objective of this paper is to describe the R&D opportunities in the TLS industry and how managers use them to make their businesses more innovative and efficient. Using the Structure-Conduct-Performance (SCP) model the paper identifies the links between R&D adoption and innovation dynamics. Relating the findings, on the driver’s side there are three points that are worth mentioning: increasing market competition, the relationships of firms interacting with each other and the availability and quality of complementary assets such as employee skills and IT know-how. On the impacts’ side, firms advanced in terms of implementing R&D solutions are more likely to implement organizational changes. Finally, a set of recommendations on how to further improve the continuous innovation in the TLS industry is presented

Studying RFID adoption by SMES in the Taiwanese IT industry

With the advent of Radio Frequency Identification (RFID), organisations have the opportunity to rethink how their organisation will operate and integrate in the supply chain. Especially for Small to Medium Sized Enterprises (SMEs), that they have limited resources adopting such an innovative technology (i.e. RFID) can be daunting. Literature indicates that SMEs that deal with implementation have so far only a few guidelines regarding specific opportunities and risks. This research is therefore trying to fill the gap by employing Exploratory Factor Analysis (EFA) techniques and utilising a questionnaire survey with the aim of exploring the factors that affect SMEs’ RFID adoption in the Taiwan Information Technology (IT) manufacturing industry. In doing so, the adoption factors which are classified into 3 different adopters categories named ready adopter (cost and management), initiator adopter (competitiveness and process efficiency) and unprepared adopter (IT management difficulties, IT implementation difficulties and cost of implementation) using EFA technique. A SMEs RFID adoption model is then proposed. It is anticipated that the findings of this research will not only enhance the research in RFID adoption in SMEs, but can also act as a reference for practitioners in the industry and researchers in the academic field

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

Critical Management Issues for Implementing RFID in Supply Chain Management

The benefits of radio frequency identification (RFID) technology in the supply chain are fairly compelling. It has the potential to revolutionise the efficiency, accuracy and security of the supply chain with significant impact on overall profitability. A number of companies are actively involved in testing and adopting this technology. It is estimated that the market for RFID products and services will increase significantly in the next few years. Despite this trend, there are major impediments to RFID adoption in supply chain. While RFID systems have been around for several decades, the technology for supply chain management is still emerging. We describe many of the challenges, setbacks and barriers facing RFID implementations in supply chains, discuss the critical issues for management and offer some suggestions. In the process, we take an in-depth look at cost, technology, standards, privacy and security and business process reengineering related issues surrounding RFID technology in supply chains

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

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

Utilising radio-frequency identification technologies as knowledge management enablers in academic libraries: a case study of the University of South Africa

The quest to generate, preserve and utilise knowledge is driving firms and organisations towards a knowledge-based approach to managing organisational knowledge assets. Therefore, knowledge management (KM) is becoming increasingly important for organisations such as academic libraries to enhance their competitive edge in performance, to become more effective and to keep the organisation’s knowledge for future use. The importance of KM cannot be overemphasised in terms of how academic libraries can find meaningful and effective ways to manage knowledge resources to improve the services rendered to information users. Pressure is mounting for academic libraries to attain, retain and share knowledge for strategic planning, decision-making and remaining competitive. The adoption of radio-frequency identification (RFID) technologies is one of the preferred approaches to managing organisational knowledge assets; therefore, this was the motivation for undertaking this study in order to understand how these new technologies can change the knowledge management landscape in academic libraries. A qualitative research methodology, informed by the interpretivist research philosophy, was adopted in this study. Data were collected from a sample of 12 participants using non-probability purposive and convenience sampling techniques. The use of purposive and convenience techniques was ideal for this study because the participants were readily available and possessed the relevant data required to address the research questions and research problem of the study. Open-ended questions were designed to form an interview guide, which was the main data collection instrument. Annual reports, system manuals and user manuals were consulted to augment the primary data collected to address the problem at hand. The findings from the study showed that RFID technologies improved efficiency, tracking and tracing, inventory management and assisted with planning. It was revealed that users of RFID technologies required further training and development to fully utilise these systems for the benefit of the organisation. The study was conducted using a small sample of 12 participants; therefore, it was recommended that further studies could be conducted with large sample sizes using different research strategies. It was suggested that further research should be conducted to establish how change programmes have been managed before in other departments or sections and how the staff exodus was managed. An organisation-wide research would be recommended to ascertain the views and opinions of a larger population so that findings can be generalisable.Information ScienceM. Inf. (Information Science

Effects of Information and Communication Technology Adoption on the Operations of Modern Retail Outlets in Metropolitan Kano, Nigeria

The retail environment is highly competitive and so, organised retail outlets in Nigeria have had to adopt InformationTechnology (IT) to enhance their operational efficiency. Thus, this study investigated key determinants of IT adoption in modern retail outlets in Nigeria, and how IT usage has enhanced operational efficiency of these outlets. Cross sectional research design was employed for the study and primary data were collected via self-administered questionnaire on the research variables from 400 respondents selected through a systematic sampling technique.The returned 351 copies of questionnaire which represented 88% response rate were analysed using frequency, percentage, Pearson correlation coefficient and regression model. It was found that the trio of organisational leadership, adopter’s attitude and ease of use are significant predictors of IT adoption among staff of modern retail outlets in Nigeria and that IT adoption significantly explained 57% variations found in operational efficiency of these retail outlets. It was therefore, recommended that operators of organised retail outlets familiarise themselves with various technological innovations in the retail industry with a view to using them in order to add values to their businesses and customers. Keywords: Information technology, adoption, organised retail outlets, retail operations and ease of use. DOI: 10.7176/EJBM/11-2-1

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