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on Information and Communication Technologies |
| By: | Ali, Muhammad; Chin-Hong, Puah; Arif, Imtiaz |
| Abstract: | This study has attempted on a motivation to identify the factors that determine the intention of non-users of e-banking service in Pakistan. In this sense, the present study has combined Davi’s technology acceptance model (TAM) with external factors, namely subjective norm (SN), trust (TR), technological self-efficacy (TSE), internet experience (IE) and enjoyment (ENJ) to introduce an extension of the TAM model for the non-users of e-banking service.The proposed TAM model was evaluated in a sample of 412 respondents under the framework of structural equation modeling (SEM). For this purpose, we have used Analysis of Moment Structures (AMOS) 21 to test the hypothesized model. Overall, the empirical outcome suggests that the ENJ had a greater total effect on perceived usefulness (PU) and perceived ease of use (PEOU) while, SN showed a greater total effect on the intention to use (ITU) the e-banking service. Furthermore, the TAM model in our study has successfully extended in order to predict non-users intention to use e-banking service.The study has offered a new and useful insights in the existing literature of the TAM model, specifically for the non-users perspective. |
| Keywords: | e-banking, technology acceptance model (TAM), behavioral intention, Pakistan. |
| JEL: | G0 G02 G2 |
| Date: | 2015–10–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:67878&r=ict |
| By: | Kummer, Michael; Slivko, Olga; Zhang, Michael |
| Abstract: | In this paper, we address the impact of surging unemployment on online public good provision. Specifically, we ask how drastically increased unemployment affects voluntary contributions of content to the online encyclopedia Wikipedia. We put together a monthly country-level data set, which combines country specific economic outcomes with data on contributions to the online encyclopedia. As a source of exogenous variation in the economic state we use the fact that European countries were affected by the financial crisis in the US in September 2008 with different intensity. For European countries, we find that the economic downturn is associated with more viewership, which channels higher participation of volunteers in Wikipedia expressed in editing activity and content growth. We provide evidence for increased information search online or online learning as a potential channel of the change in public goods provision, which is a potentially important side effect of economic downturn. |
| Keywords: | public goods,unemployment,online platforms,user generated content |
| JEL: | D29 D80 H41 J60 L17 |
| Date: | 2015 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:15078&r=ict |
| By: | Matilde Mas (University of Valencia and Ivie); Juan Fernández de Guevara (University of Valencia and Ivie) |
| Abstract: | The PREDICT project was designed to help policy makers understand ICT sector dynamics and foster its growth. Since its inception in 2006, PREDICT reports and the accompanying databases have become a unique source of information on the ICT sector and on ICT R&D in the EU and its global competitors. The 2015 report offers a comprehensive and comparable view of the dynamics of value added, employment and R&D in ICT industries, detailed in up to 12 individual activities in 41 countries, from 2006 to 2012, relying on the latest available official statistics delivered by the Member States, Eurostat and the OECD. The Report highlights how the ICT sector's overall weight in the economy in the EU stayed stable at about 4% of GDP, but underwent an important shift in composition towards computer services, as it did in most advanced economies. Meanwhile, ICT sector employment passed from 5.8 to 6.2 million (2.7% of total employment). The report also acknowledges the ICT sector's key role in R&D: its share in total business expenditure in R&D (BERD) is about 16% in the EU, 31% in the USA and 52% in Korea. |
| Keywords: | ICT; information and communication technologies; R&D, BERD, GBAORD, ICT manufacturing, ICT services; Europe; US, Japan, indicators. |
| JEL: | O30 O32 O52 |
| Date: | 2015–11 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc97153&r=ict |
| By: | Paolo Cocchi (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy) |
| Abstract: | This paper is a document about the Internet-Of-Things, or IoT. The motivations behind the present work can be found in the wide range of IoT devices appeared on the IT market during the last ten years. What is an IoT device? Is a home desktop PC connected to the Internet a IoT device? If we want to develop a IoT project, what platform is more convenient for us? What is the current state of art of IoT ? The aim of our work is to answer these questions. The paper focuses on the Intel Galileo board for the IoT. It is both a microcontroller and an IoT device. It is an x86 Linux embedded system. We exploit capabilities of the board and provide a developing methodology on the platform. |
| Keywords: | Internet-of-Things ; IoT ; microcontroller ; remote controlling ; x86 ; Linux ; embedded device |
| Date: | 2015 |
| URL: | http://d.repec.org/n?u=RePEc:aeg:report:2015-12&r=ict |
| By: | Erik Strøjer Madsen (Department of Economics and Business, Aarhus University, Denmark); Simon Hartington (Maersk Oil and Gas) |
| Abstract: | This article discuss’ how economics of scale in supply and demand in the telecommunication industry has developed and how this has had great effect on the widespread usage and popularity of smart phones. By using this as a theoretical ground the paper looks into technical innovation in the telecommunication industry and finds significant similarities between the industry development and the literature on disruptive technology, which finds that incumbent companies are not able to react in a successful way when disruptions occur in their industry. By studying how the telecommunication industry developed around the introduction of the smart phone and looking closer into the reactions of major players such as Apple, Google, Microsoft and Nokia, we find evidence supporting the finding in the literature of an inadequate strategies among incumbent companies. Large incumbent companies are focused too much on incremental innovation of their products which have a more clear short-term return and a solution of this problem is to focus less on short-term efficiency and to allow the individual researcher to follow his/her own ideas’ to a larger extent. |
| Keywords: | Networking, Disruptive technologies, Smart phone, Innovation strategies, Telecom industries |
| JEL: | L12 L16 L17 |
| Date: | 2015–11–17 |
| URL: | http://d.repec.org/n?u=RePEc:aah:aarhec:2015-21&r=ict |
| By: | Chao Chen (School of Computer Science, Chongqing University); Shenle Pan (CGS - Centre de Gestion Scientifique - MINES ParisTech - École nationale supérieure des mines de Paris) |
| Abstract: | Crowdsourcing is garnering increased attention in freight transport area, mainly applied in internet-based services to city logistics. However, scientific research, especially methodology for application is still rare in the literature. This paper aims to fill this gap and to propose a methodological approach of applying crowdsourcing solution to Last Mile Delivery in E-commerce environment. The proposed solution is based on taxi fleet in city and a transport network composed by road network and customer self-pickup facilities that are 24 hours shops in city, named as TaxiCrowdShipping system. The system relies on a two-phase decision model, first offline taxi trajectory mining and second online package routing and taxi scheduling. Being the first stage of our study, this paper introduces the framework of the system and the decision model development. Some expected results and research perspectives are also discussed. 1 Introduction In E-commerce environment, Last Mile Delivery (hereafter LMD) is the problem of transport planning for delivering goods from e-retailers' hub to the final destination in the area, for example the end consumers' home, see [1] and [2]. Speed and cost are the two crucial success factors to LMD. Faster shipping while with lower cost is the major challenge; nevertheless, it is also a paradox to a certain extend. Indeed, when customers are given a choice between fast and cheap delivery, most of them choose the cheap one, observed by a recent report [3]. The report also infers that that low-cost, speedy two-day delivery corresponds to most customers' expectation, opposite to the one-day delivery policy pursued by giant e-retailers such as Amazon and Alibaba etc. This fact may open up new opportunities to innovative freight transport models [4] for LMD aiming at reducing delivery cost while respecting shipping time, |
| Keywords: | Last Mile Delivery,Crowdsourcing,Taxi Trajectory Data Mining,Freight Transport,City Logistics |
| Date: | 2015–11–05 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-01226813&r=ict |
| By: | Johan Fourie |
| Abstract: | Big Data can be consequential for the field of history. The surge in computing power and access to data processing software and online resources have enabled historians over the past two decades to capture historical statistics on a much larger scale than before. Here I argue that the data revolution is especially valuable when applied to regions where written records are fairly scarce, such as sub-Saharan Africa. The tools of data transcription, augmentation, and collaboration have revealed much we did not know about the African past and its echoes in the present. The continuing projects to transcribe and digitize large numbers of colonial and post-colonial records are likely to teach us much more about Africa’s economic past over the coming decade. |
| Keywords: | Data Revolution, Economic History, Sub-Saharan Africa |
| JEL: | N01 C80 |
| Date: | 2015 |
| URL: | http://d.repec.org/n?u=RePEc:rza:wpaper:555&r=ict |