nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2013‒08‒05
six papers chosen by
Walter Frisch
University Vienna

  1. Are Internet and Face-to-Face Contacts Complements or Substitutes? Evidence from Internet Traffic between Cities By David Cuberes
  2. Health Information Technology in the United States: Better Information Systems for Better Care, 2013. By Catherine M. DesRoches; Michael W. Painter; Ashish K. Jha
  3. An empirical study of factors influencing adoption of Internet banking among students of higher education: Evidence from Pakistan By Kazi, Abdul Kabeer
  4. Curriculum Framework for Application of ICT in Education By Sarita Sorokhaibam; Thokchom Asha Sinha
  5. Search Engine Optimization: What Drives Organic Traffic to Retail Sites? By Michael R. Baye; Babur De los Santos; Matthijs R. Wildenbeest
  6. Extracting information from the signature of a financial data stream By Lajos Gergely Gyurk\'o; Terry Lyons; Mark Kontkowski; Jonathan Field

  1. By: David Cuberes (Department of Economics, The University of Sheffield)
    Abstract: This paper uses a new dataset on Internet flows between cities around the world to study whether electronic communication and face-to-face contacts are substitutes or complements. In order to test these competing hypotheses I estimate a regression of bilateral Internet traffic on physical distance between pairs of cities and several city and country-specific variables that include a control for cities’ population, countries’ population and per capita GDP, the number of Internet users, the intensity of trade between countries, and several dummies that aim to capture city specific effects and the degree of familiarity between residents of different countries. The estimates reveal a strong and robust negative effect of distance on the intensity of electronic communications, suggesting that Internet and face-to-face contacts are more likely to be complements than substitutes.
    Keywords: cities; Internet; face-to-face contacts; death of distance
    JEL: R12
    Date: 2013
  2. By: Catherine M. DesRoches; Michael W. Painter; Ashish K. Jha
    Keywords: Health Information Technology, HIT, Information Systems, Health
    Date: 2013–07–30
  3. By: Kazi, Abdul Kabeer
    Abstract: This paper investigated the influence of factors on the intention to adopt Internet banking services among students of higher education in Pakistan. Theoretical framework used for this study has been adopted from Technology Acceptance Model (TAM) with four independent variables. Convenience sampling method was used with a total of valid 220 respondents, which included students of Khadim Ali Shah Bukhari Institute of Technology (KASBIT), Karachi, Pakistan. Data was collected through self administered questionnaire of two parts: Demographic and Likert scale multi-item scale for variables under study. Results indicated that convenience, perceived credibility, and perceived usefulness had significant positive influence among students on the intention to adopt Internet banking. The findings from this research would be useful for banks in the subject area, particularly for students in Pakistan.
    Keywords: Internet banking; students of higher education; technology acceptance model; Pakistan
    JEL: G2 G20 G21
    Date: 2013–03–02
  4. By: Sarita Sorokhaibam; Thokchom Asha Sinha
    Abstract: Information and Communication Technologies (ICTs) are making dynamic changes in every aspects of life including education. Observation of various lacunas and limitations indicated the problems faced in the implementation of ICT in education. Though origin of many of the problems are complex and multifaceted, but core issues that need to be defined lies on the conceptualizing the implementing mechanism and paradigm. Observations at the application level show the lack of coherent curriculum framework with regard to ICT. In this background, framing a proper curriculum framework as per the needs of the existing system has been felt. Key words: ICT; Education; E-Content; E-Learning; curriculum framework
    Date: 2013–06
  5. By: Michael R. Baye (Department of Business Economics and Public Policy, Indiana University Kelley School of Business); Babur De los Santos (Department of Business Economics and Public Policy, Indiana University Kelley School of Business); Matthijs R. Wildenbeest (Department of Business Economics and Public Policy, Indiana University Kelley School of Business)
    Abstract: The lion’s share of retail traffic through search engines originates from organic (natural) rather than sponsored (paid) links. We use a dataset constructed from over 12,000 search terms and 2 million users to identify drivers of the organic clicks that the top 759 retailers received from search engines in August 2012. Our results are potentially important for search engine optimization (SEO). We find that a retailer’s investments in factors such as the quality and brand awareness of its site increases organic clicks through both a direct and an indirect effect. The direct effect stems purely from consumer behavior: The greater the brand equity of an online retailer, the greater the number of consumers who click its link rather than a competitor in the list of organic results. The indirect effect stems from our finding that search engines tend to place better-branded sites in better positions, which results in additional clicks since consumers tend to click links in more favorable positions. We also find that consumers who are older, wealthier, conduct searches from work, use fewer words or include a brand name product in their search are more likely to click a retailer’s organic link following a product search. Finally, the brand equity of a retail site appears to be especially important in attracting organic traffic from individuals with higher incomes. The beneficial direct and indirect effects of an online retailer’s brand equity on organic clicks, coupled with the spillover effects on traffic through other online and traditional channels, leads us to conclude that investments in the quality and brand awareness of a site should be included as part of an SEO strategy.
    Keywords: search engine optimization, organic clicks, search marketing
    JEL: L0 D43 D83 L13
    Date: 2013–05
  6. By: Lajos Gergely Gyurk\'o; Terry Lyons; Mark Kontkowski; Jonathan Field
    Abstract: Market events such as order placement and order cancellation are examples of the complex and substantial flow of data that surrounds a modern financial engineer. New mathematical techniques, developed to describe the interactions of complex oscillatory systems (known as the theory of rough paths) provides new tools for analysing and describing these data streams and extracting the vital information. In this paper we illustrate how a very small number of coefficients obtained from the signature of financial data can be sufficient to classify this data for subtle underlying features and make useful predictions. This paper presents financial examples in which we learn from data and then proceed to classify fresh streams. The classification is based on features of streams that are specified through the coordinates of the signature of the path. At a mathematical level the signature is a faithful transform of a multidimensional time series. (Ben Hambly and Terry Lyons \cite{uniqueSig}), Hao Ni and Terry Lyons \cite{NiLyons} introduced the possibility of its use to understand financial data and pointed to the potential this approach has for machine learning and prediction. We evaluate and refine these theoretical suggestions against practical examples of interest and present a few motivating experiments which demonstrate information the signature can easily capture in a non-parametric way avoiding traditional statistical modelling of the data. In the first experiment we identify atypical market behaviour across standard 30-minute time buckets sampled from the WTI crude oil future market (NYMEX). The second and third experiments aim to characterise the market "impact" of and distinguish between parent orders generated by two different trade execution algorithms on the FTSE 100 Index futures market listed on NYSE Liffe.
    Date: 2013–07

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