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

Feasibility of Warehouse Drone Adoption and Implementation

While aerial delivery drones capture headlines, the pace of adoption of drones in warehouses has shown the greatest acceleration. Warehousing constitutes 30% of the cost of logistics in the US. The rise of e-commerce, greater customer service demands of retail stores, and a shortage of skilled labor have intensified competition for efficient warehouse operations. This takes place during an era of shortening technology life cycles. This paper integrates several theoretical perspectives on technology diffusion and adoption to propose a framework to inform supply chain decision-makers on when to invest in new robotics technology

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

Impact of RFID on the Retail Value Chain: An Exploratory Study Using a Mixed Method Approach

While several large retailers have mandated RFID deployment across their value chains, the case for RFID adoption in retail still remains uncertain. This paper aims at providing a realistic perspective of the immense potential of RFID, taking adoption drivers, potential benefits, and implementation challenges into account. In this paper, a mixed methodological approach is used that caters to the exploratory nature of the work to quantitatively analyze RFID adoption drivers, benefits, and implementation challenges. First content analysis is applied to analyze academic and trade articles to come up with key issues and concepts. The results from the content analysis acted as input for a Delphi study which is the second methodology. The combined results from the two methods provide deep insights and enhance understanding of important implementation issues related to RFID adoption in the retail sector and also aid in drawing meaningful managerial conclusions

Factors influencing the adoption of RFID among logistic service providers in Libya

The Radio Frequency Identification (RFID) has been recognized as the most powerful technology in the 21st century. RFID is a way of improving the management and operation efficiency when used in industries of logistics, manufacturing, and public information services.The aim of this study is to propose a model of the factors influencing the adoption of RFID in Logistic Service Providers (LSPs) in Libya.The research model is developed based on the Technology-Organization-Environment (TOE) framework.It is hypothesized that cost and complexity (from the technological context), organizational readiness and top management support (from the organizational context), and competitive pressure and government support (from the environmental context) influence the RFID adoption.Data will be gathered using a quantitative survey directed to the senior executives of LSP companies in Libya.Ordinary least square regression will be used for data analysis

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

Usability of Real Time Data for Cold Chain Monitoring Systems

One in every nine people on earth do not have enough food to lead a healthy life, according to The World Food Programme. That\u27s nearly 800 million people. In addition to that, billions of tons of perishable food products are wasted during transportation and logistics before it reaches the end consumers as thousands of people die every day due to hunger related causes. Perishable foods, medicine and other goods impose severe challenges on inventory management. Businesses debate on whether to keep limited stock just to meet demand and fear losing additional customers or keep excess stock and face the risk of expiry of goods. Unlike the transportation of other goods, perishable food products and medicines undergo tremendous degradation in quality as a function of environmental conditions over time. Perishable food products are usually stored in frozen and refrigerated condition at the distribution centers, supermarkets and during the transit in order to preserve the quality of food and extend the shelf life. Even though, temperature controlled supply chain in the food retail sector has become commonplace, there is one major limitation of the current practice in the chilled food chain management. The printed \u27sell-by-date\u27 is not a true indicator of the quality of the product as it does not reflect the temperature variations during distribution at the different stages of the food supply chain. The food quality is severely compromised when actual environmental conditions deviate from the expected conditions. This research proposes the use of real-time sensor data to support supply chain decisions and describe a model for gauging and improving usability on the real-time sensor data. Data reported through the wireless sensor networks could help in predicting the shelf-life of perishable food products and preventing them from spoilage. Use of sensor data would encourage data driven decision making rather than intuition. The findings would encourage businesses operating in the cold chain environment in exploring value added innovation opportunities through internet of things use cases and improve the usability experience and competitiveness of their supply chains via warehouse workers and truck drivers

Organizational-Level RFID Technology Adoption in the Hospitality Industry

The purpose of this study was to explore the influence of technological, organizational, and environmental factors on the hospitality operators\u27 adoption of radio frequency identification (RFID) technology. Based on a sample of 125 technology decision makers at major hospitality corporations in the US, the results of the study indicated that except stakeholder pressure, all of the technological, organizational, and environmental factors had significant impact on hospitality operators\u27 intention to adopt RFID technology. By identifying the factors affecting hospitality operators\u27 RFID technology adoption decisions, technology vendors could design appropriate marketing strategies to reach potential adopters and they could educate these adopters better on the benefits of RFID technologies in order to increase the usage of these technologies in the hospitality industry

DRIVERS AND RATIONALES IN RFID ADOPTION AND POST ADOPTION INTEGRATION: AN INTEGRATIVE PERSPECTIVE ON IOS ADOPTION

This study addresses a gap in IOS (interorganizational system) adoption literature by proposing an integrative model of RFID (radio frequency identification) adoption and early integration, that combines multiple theoretical perspectives suggesting different rationales for adoption. The study suggests possible roles for technological, interorganizational pressure, organizational readiness and external environmental factors in the adoption of RFID and proposes the perceived radicalness of technology as a moderator of relationships in the model. Using multiple lenses of strategic choice theories (diffusion of innovation, organizational innovativeness) and institutional theory as the basis and reflecting data from semi- tructured interviews and news reports, the study develops an integrative conceptual RFID adoption model and presents testable hypotheses at the construct and rationale levels. The model incorporates different rationales for adoption and integration of interorganizational systems(IOS) namely the strategic choice perspective where adoption is voluntary with a view to improve organizational efficiency and performance and the institutional perspective where adoption is more a result of conforming to pressures from organizations within an organization’s field of operation. Two technological factors (perceived benefit and perceived costs), three organizational readiness factors (top management support, financial readiness, IS infrastructure and capabilities) and three external environmental factors (perceived standards convergence, perceived consumer privacy and perceived stakeholder privacy) have been suggested as adoption and integration drivers from a strategic choice perspective while the three Inter-organizational pressure factors (coercive, mimetic and normative pressures) have been proposed as predictors of adoption intent and expected integration from the institutional perspective. The study allows for a comparison of the relative influence of each rationale on the adoption and post adoption integration decisions by a firm. Perceived radicalness of the technology has been operationalized as a continuous construct and suggested as a moderator of relationships between the drivers and adoption/integration of RFID. Analysis of data collected from the interviews and news reports lends support to the model and provides insight into relative importance of the constructs