3 research outputs found

    The Information Service Evaluation (ISE) Model

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    Information services are an inherent part of our everyday life. Especially since ubiquitous cities are being developed all over the world their number is increasing even faster. They aim at facilitating the production of information and the access to the needed information and are supposed to make life easier. Until today many different evaluation models (among others, TAM, TAM 2, TAM 3, UTAUT and MATH) have been developed to measure the quality and acceptance of these services. Still, they only consider subareas of the whole concept that represents an information service. As a holistic and comprehensive approach, the ISE Model studies five dimensions that influence adoption, use, impact and diffusion of the information service: information service quality, information user, information acceptance, information environment and time. All these aspects have a great impact on the final grading and of the success (or failure) of the service. Our model combines approaches, which study subjective impressions of users (e.g., the perceived service quality), and user-independent, more objective approaches (e.g., the degree of gamification of a system). Furthermore, we adopt results of network economics, especially the "Success breeds success"-principle

    DIFFUSION AND FORECAST OF MOBILE SERVICE GENERATIONS IN GERMANY, UK, FRANCE AND ITALY – A COMPARATIVE ANALYSIS BASED ON BASS, GOMPERTZ AND SIMPLE LOGISTIC GROWTH MODELS

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    Growth models, based on the theory of diffusion of innovations, are highly proficient in developing an empirical understanding of country-wide diffusion of mobile services. The currently available literature lacks in explanation of the diffusion of successive generations (G’s) of mobile services in various countries. This study furthers the research by analyzing the diffusion of 2G through 4G in Germany, UK, France and Italy, the four largest economies of Europe. We select Bass, Gompertz and Simple Logistic growth models, to analyze the diffusion process, and forecast the adoption of 3G, 4G and 5G mobile broadband, in the four countries. A comparative analysis of the diffusion model parameters, and the forecasting accuracies, estimated through non-linear least-square regression, determines Gompertz and Simple Logistic model as best suited to explain 3G and 4G diffusion, and Bass model as best suited to explain 2G diffusion. Market potential for 3G, 4G and 5G is the highest in France, Germany and Italy, respectively. However, subscribers are more likely to make a direct jump from 2G to 4G in Italy and Germany, compared to UK and France where the gradual switch from 3G to 4G to 5G is likely to be much slower

    The broadband diffusion process and its determinants in Algeria: A simultaneous estimation

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    Digital transformation engendered by ICT advances, most notably broadband, pertains to many sectors that are known to drive economic development. This paper seeks to highlight market structure, institutional, and socio-economic factors that influence broadband adoption in Algeria. We apply to a novel 2003-2019 database a procedure that simultaneously, instead of sequentially as typically done, selects the best among the Bass, Gompertz, and Logistic innovation diffusion models estimated with Nonlinear Least Squares and searches for significant determinants of broadband adoption. We find that the data fits reasonably well the Gompertz and Logistic distributions with the latter outperforming the former not only from a statistical standpoint but also and more importantly for it captures Algeria's significant delay in the diffusion of broadband due to the social turmoil of the 1990 years’ decade. We identify some policy levers for fostering ICT applications. We find that the degree of concentration has a U-shaped impact on broadband adoption and that institutional quality, mobile broadband introduction, and tertiary education enrollment have a positive impact. These findings suggest that broadband adoption in Algeria can be expected to gain from encouraging entry with differentiated broadband services through higher-generation access technologies, improving regulatory governance, and enhancing digital literacy through higher education
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