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on Information and Communication Technologies |
| By: | Valentino Larcinese; Luke Miner |
| Abstract: | What are the political consequences of the diffusion of broadband internet? We address this question by studying the 2008 US presidential election, the first political campaign where the internet played a key role. Drawing on data from the FEC and the FCC, we provide robust evidence that internet penetration in US counties is associated with an increase in turnout, an increase in campaign contributions to the Democrats and an increase in the share of Democratic vote. We then propose an IV strategy to deal with potential endogeneity concerns: we exploit geographic discontinuities along state borders with different right-of-way laws, which constitute the main determinant of the cost of building new infrastructure. IV estimates confirm a positive impact of broadband diffusion on turnout, while the pro-Democratic Party effect of the internet appears to be less robust. |
| Keywords: | internet diffusion, political economy of the media, United States elections, turnout, campaign contributions |
| JEL: | D72 L86 |
| Date: | 2017–06 |
| URL: | http://d.repec.org/n?u=RePEc:cep:stieop:63&r=ict |
| By: | Marie‐hélène Delmond (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique, HEC Paris - Recherche - Hors Laboratoire - HEC Paris - Ecole des Hautes Etudes Commerciales); Fabien Coelho (CRI - Centre de Recherche en Informatique - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University, MINES ParisTech - École nationale supérieure des mines de Paris); Alain Keravel (HEC Paris - Recherche - Hors Laboratoire - HEC Paris - Ecole des Hautes Etudes Commerciales); Robert Mahl (CRI - Centre de Recherche en Informatique - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University, MINES ParisTech - École nationale supérieure des mines de Paris) |
| Abstract: | The digital economy has now a widespread impact on the whole economy and leads companies to transform and adopt new competition rules. Our objectives in this paper are 1) to analyze these evolutions and 2) to understand the role of informations systems in these changes. We have investigated two opposite environments: a pure Internet player selling an SaaS offering, and a traditional business that distributes products through a physical network of thousands of outlets. Our results show that both Internet players and traditional companies experience changes in the industry value chain, a growing importance of services, and develop new business models focused on an extended value proposition and cooperation with customers. The role of information systems is characterized by the evolution of the IT infrastructure, the expansion of inter organizational information systems and digital platforms and the development of new IT capabilities. |
| Keywords: | Information systems,digital economy,business models,value proposition |
| Date: | 2016–01 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-01369141&r=ict |
| By: | chaipornkaew, P.; Prexawanprasut, T.; Chang, C-L.; McAleer, M.J. |
| Abstract: | One of the most powerful internet communication channels is email. As employees and their clients communicate primarily via email, much crucial business data is conveyed via email content. Where businesses are understandably concerned, they need a sophisticated workflow management system to manage their transactions. A workflow management system should also be able to classify any incoming emails into suitable categories. Previous research has implemented a system to categorize emails based on the words found in email messages. Two parameters affected the accuracy of the program, namely the number of words in a database compared with sample emails, and an acceptable percentage for classifying emails. As the volume of email has become larger and more sophisticated, this research classifies email messages into a larger number of categories and changes a parameter that affects the accuracy of the program. The first parameter, namely the number of words in a database compared with sample emails, remains unchanged, while the second parameter is changed from an acceptable percentage to the number of matching words. The empirical results suggest that the number of words in a database compared with sample emails is 11, and the number of matching words to categorize emails is 7. When these settings are applied to categorize 12,465 emails, the accuracy of this experiment is approximately 65.3%. The optimal number of words that yields high accuracy levels lies between 11 and 13, while the number of matching words lies between 6 and 8. |
| Keywords: | Email, business data, workflow management system, business transactions |
| JEL: | J24 O31 O32 O33 |
| Date: | 2017–07–01 |
| URL: | http://d.repec.org/n?u=RePEc:ems:eureir:101762&r=ict |
| By: | Lesley Chiou; Catherine Tucker |
| Abstract: | This paper investigates whether larger quantities of historical data affect a firm's ability to maintain market share in Internet search. We study whether the length of time that search engines retained their server logs affected the apparent accuracy of subsequent searches. Our analysis exploits changes in these policies prompted by the actions of policymakers. We find little empirical evidence that reducing the length of storage of past search engine searches affected the accuracy of search. Our results suggest that the possession of historical data confers less of an advantage in market share than is sometimes supposed. Our results also suggest that limits on data retention may impose fewer costs in instances where overly long data retention leads to privacy concerns such as an individual's ``right to be forgotten." |
| JEL: | K21 K40 |
| Date: | 2017–09 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:23815&r=ict |