RFID-Integrated Retail Supply Chain Services: Lessons Learnt From The Smart Project

This paper proposes a service-oriented architecture that utilizes the automatic, unique identification capabilities of RFID technology, data stream management systems and web services, to support RFID-integrated supply chain services. In the lifespan of SMART project (IST-2005, FP6) two services have been deployed supporting dynamic-pricing of fresh products and management of promotion events. The two services have been field-tested in three retail stores in Greece, Ireland, and Cyprus. The valuable lessons learnt, concerning RFID readability challenges, consumer privacy, customers and store staff health concerns, investment cost, and so on, are reported to provide guidance to future developers of RFID-integrated supply chain services as well as to set an agenda for academic research

TOWARDS EMOTIONAL SATISFACTION IN SOCIAL NETWORK SERVICES USE

This study examines the combined effect of positive and negative emotions on user satisfaction with social network services (SNSs). The sample consists of 582 individuals who use SNSs. Our results suggest that as the intensity of positive emotions increases, users are more satisfied with SNSs. This applies to low and medium levels of negative emotions. On the other hand, for all levels of positive emotions, as the intensity of negative emotions increases, there is no significant effect on satisfaction. Our findings suggest the dominating effect of positive emotions over the negative ones in SNSs. We conclud

A MATTER OF TRUST AND EMOTIONS: A COMPLEXITY THEORY APPROACH TO EXPLAIN THE ADOPTION OF EGOVERNMENT SERVICES

This research uses complexity theory to offer a deeper insight on the causal patterns of factors explaining the adoption of e-government services. To this end, we propose a conceptual model comprising of affective factors (positive and negative emotions) and cognitive factors (trust of the government, trust of the service, and perceived net benefits of e-government services) along with research propositions. Our propositions are validated by employing a fuzzy-set qualitative comparative analysis (fsQCA) on a sample of 502 users of e-government services. Findings indicate five configurations of cognitive and affective perceptions that lead to high intention to use an e-government service. Of paramount importance are affective values and trust values since their mandatory presence or absence is incorporated in all configurations. The study has both theoretical and practical implications for academic scholars pertaining the development of new e-government adoption theories and the provision of egovernment services

MODELING THE INFORMATION QUALITY OF OBJECT TRACKING SYSTEMS

Advances in information and communication technologies, such as Radio Frequency Identification (RFID), mobile and wireless mesh networks, bring us closer to the vision of “Internet of Things”, a global network of people, products or objects that can be easily readable, recognizable, locatable, and manageable over the world wide web. Such a network can provide ubiquitous and real-time information on movements of objects; and object tracking systems monitor the moving objects and register their on-going location in the context of higher-level applications, such as supply chain management, food traceability and retail, where monitoring of objects is required. This paper investigates information quality of object tracking systems and proposes an analytical model that measures the degree of information completeness of object tracking systems based on the scope and depth of their data capturing capabilities. We demonstrate that the information completeness of object tracking systems is influenced by the configuration of object tracking systems. The model may be used for both ex-ante and ex-post evaluations of object tracking systems, under the auspices of their information quality requirements, considering that their use is expected to blossom in the “Internet-of- Things” era

Fuzzy-Set Analysis to Understand User Experience in Mobile Applications

This paper examines how price value, game content quality, positive and negative emotions, gender, and gameplay time interact with each other to explain high intention to download mobile applications, and specifically mobile games. Based on complexity theory and theory of configuration, a conceptual model is drawn along with research propositions. We employ fuzzy-set qualitative comparative analysis (fsQCA) on 531 users of mobile games, and identify ten solutions that explain high intention to download mobile games. Alternative paths are presented depending on the gender and gameplay time. We highlight the importance of price value and game content quality, as well as that of positive emotions which are always core factors when present. We contributes to theory and practice (1) with new insights into the interrelationships among the predictors of user intention to download mobile games, and (2) by advancing the theoretical and methodological foundation of how these predictors combine to lead to high intention to download mobile games

The Wireless Readiness Innovation Index: Enhancing the Effectiveness of the Public Sector in New Service Introduction

National and regional public authorities need to align their planned introduction of mobile/wireless innovation with the maturity levels of both their workforce (who will manage and maintain the new applications) and their citizens (who will use them). We draw on the experience of working with local authorities in three Mediterranean countries (Greece, Italy and Spain) to develop a method towards the effective introduction and adoption of innovative mobile services by public organizations. Specifically, we discuss the development and pilot implementation of a) the Wireless Readiness Innovation Index , a tool that aims at measuring the local authority’s and end users’ readiness towards providing and using innovative wireless services and b) the Wireless Innovation Operational Toolkit , a tool that aims at matching users’ and local authority’s readiness levels with candidate services so as to maximize the likelihood of successful introduction and sustained use

EXPLORING THE ADOPTION OF UBIQUITOUS INFORMATION SYSTEMS WITHIN THE MUSEUM CONTEXT

Wireless and mobile technologies are gradually enabling the provision of innovative information services within almost all environments. This study explores the adoption of ubiquitous museum information systems that can significantly enhance and enrich the museum visit. We draw on traditional IS adoption theories and theories from Museum Studies to develop our theoretical model which is empirically tested through a survey addressed to museum visitors (n=118). Model hypotheses are tested through Partial Least Squares modelling. The results show that Performance Expectancy and Personal Innovativeness still represent the core predictors toward the adoption of museum information systems. However, we also report on the predictive strength of two context-related factors, Invisibility and Interaction, which appear to play a particular role toward the formulation of favourable user perceptions. The paper concludes with implications on the design of museum information systems and specific suggestions for future research