81,066 research outputs found
Measuring internet activity: a (selective) review of methods and metrics
Two Decades after the birth of the World Wide Web, more than two billion people around the world are Internet users. The digital landscape is littered with hints that the affordances of digital communications are being leveraged to transform life in profound and important ways. The reach and influence of digitally mediated activity grow by the day and touch upon all aspects of life, from health, education, and commerce to religion and governance. This trend demands that we seek answers to the biggest questions about how digitally mediated communication changes society and the role of different policies in helping or hindering the beneficial aspects of these changes. Yet despite the profusion of data the digital age has brought upon us—we now have access to a flood of information about the movements, relationships, purchasing decisions, interests, and intimate thoughts of people around the world—the distance between the great questions of the digital age and our understanding of the impact of digital communications on society remains large. A number of ongoing policy questions have emerged that beg for better empirical data and analyses upon which to base wider and more insightful perspectives on the mechanics of social, economic, and political life online. This paper seeks to describe the conceptual and practical impediments to measuring and understanding digital activity and highlights a sample of the many efforts to fill the gap between our incomplete understanding of digital life and the formidable policy questions related to developing a vibrant and healthy Internet that serves the public interest and contributes to human wellbeing. Our primary focus is on efforts to measure Internet activity, as we believe obtaining robust, accurate data is a necessary and valuable first step that will lead us closer to answering the vitally important questions of the digital realm. Even this step is challenging: the Internet is difficult to measure and monitor, and there is no simple aggregate measure of Internet activity—no GDP, no HDI. In the following section we present a framework for assessing efforts to document digital activity. The next three sections offer a summary and description of many of the ongoing projects that document digital activity, with two final sections devoted to discussion and conclusions
E-business in Indonesia: It still has a prospect?
This study is aimed to investigate the current state of e-business in Indonesia and to discuss its prospect. An Internet research method is adopted to search and collect various data from online sources and to analyze e-business websites. The framework of investigation covers three parties: Internet users, government supports, and e-business firms. The findings reveal the mixed pictures. The number of Internet users is quite big but the national average penetration is still low. In terms of government supports in providing ICT infrastructure and regulation, Indonesia is still behind of many countries. However, there is a promising progress recently in this industry such as the emerging payment gateway companies to support electronic transactions, the investment of big global e-commerce firms, and the establishment of e-commerce association. Academics could use the finding as a preliminary outlook to more focused research topics. Investors could use it also as a preliminary thought to invest in this industry
Towards the alternative measurement: Discovering the relationships between technology adoption and quality of life in Indonesia
The vast majority of the studies investigating telecommunication development (diffusion of mobile phone, Internet, the broadband, etc.) that have been carried out in the literatures aim at assessing the impact on economic indicators, mainly the Gross Domestic Product (GDP), whereas little attention has actually been paid to investigate the other measurement which reflects a more direct linkage to the individual welfare, for instance the quality of life (QOL) indicators. Following the current counterargument for using the GDP as the goal of economic development, this paper investigates a survey data in Indonesia, observing the relationships between the experience to technology (the length of mobile phone ownership) and technology adoption (internet access) in affecting quality of life (QOL) at individual level. The QOL index is proxied by two indicators which are equally weighted; the objective measurement represented by income level and subjective perceived QOL following the study by Costanza et al., (2007). To operationalize these aims, the model is investigated in two sequential ways; first by determining binomial probit on the Internet access demand equation and then putting the predicted probability of the first equation into second equation of the ordered probit model. The model is further analyzed through the return to education-type equation (Card, 2001) to see the impact of experience to technology and internet access on the QOL index. The results indicate that whereas the access to the Internet is not statistically significant affecting QOL, experience to technology plays an important role. Additionally, the experience of technology (measured at its mean value of 3.5 years) affects the likelihood to have a lower QOL index around 49% and to achieve a higher QOL index in Indonesia around 12%. A year additional of ownership reduces the likelihood on a lower QOL by 3.6% and increases the likelihood to obtain a higher QOL by 2%. --technology,quality of life,ordered-probit,Internet
A Survey on Economic-driven Evaluations of Information Technology
The economic-driven evaluation of information technology (IT) has become an important instrument in the management of IT projects. Numerous approaches have been developed to quantify the costs of an IT investment and its assumed profit, to evaluate its impact on business process performance, and to analyze the role of IT regarding the achievement of enterprise objectives. This paper discusses approaches for evaluating IT from an economic-driven perspective. Our comparison is based on a framework distinguishing between classification criteria and evaluation criteria. The former allow for the categorization of evaluation approaches based on their similarities and differences. The latter, by contrast, represent attributes that allow to evaluate the discussed approaches. Finally, we give an example of a typical economic-driven IT evaluation
Social Media’s impact on Intellectual Property Rights
This is a draft chapter. The final version is available in Handbook of Research on Counterfeiting and Illicit Trade, edited by Peggy E. Chaudhry, published in 2017 by Edward Elgar Publishing Ltd, https://doi.org/10.4337/9781785366451. This material is for private use only, and cannot be used for any other purpose without further permission of the publisher.Peer reviewe
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