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on Information and Communication Technologies |
| By: | Karol Jan Borowiecki (Department of Economics, Trinity College Dublin); Trilce Navarrete (Department of Business and Economics, University of Southern Denmark) |
| Abstract: | Heritage institutions house cultural and research content, which is the key source to stimulate soft innovation. Despite the potential, heritage collections are mostly inaccessible via digital mediums. We analyze the macro, meso and micro conditions of heritage organizations across Europe to identify the key determinants that foster soft innovation as reflected by the share of collection digitization and online publication. We find that organizations respond positively to an environment of high consumer digital literacy and sustainable resource allocation that enables slack, skilled staff and long-term strategic planning. Innovation is thus, in fact, enhanced by digital literacy from both producers as well as consumers. |
| Keywords: | innovation; digitization; heritage collections; cultural institution |
| JEL: | O31 Z1 |
| Date: | 2016–11 |
| URL: | http://d.repec.org/n?u=RePEc:tcd:tcduee:tep1616&r=ict |
| By: | Dario Šebalj (Sveučilište Josipa Jurja Strossmayera u Osijeku, Ekonomski fakultet u Osijeku); Ana Živković (Sveučilište Josipa Jurja Strossmayera u Osijeku, Ekonomski fakultet u Osijeku) |
| Abstract: | Živimo u digitalnom okruženju u kojem gotovo sve što radimo ostavlja digitalni trag. Podaci se prikupljaju iz raznih izvora - objava na društvenim mrežama, e-mailova, različitih senzora, slikovnih i video sadržaja, pretraga na tražilicama, online kupovina i mnogo drugih. Najveći razlog ovakvog rasta podataka može se naći u tehnološkom napretku budući da se danas podaci mogu lako i jeftino pohranjivati i dijeliti. Ovaj novi trend u generiranju i prikupljanju podataka zahtijeva potpuno novi pristup njihovoj obradi i analizi. Cilj ovoga rada jest da se, na temelju analize aktualnih i relevantnih izvora, prikažu stanje i trendovi u prikupljanju, obradama, analizi i korištenju podataka koji su kompleksni, brzorastući, različiti po tipu i sadržajima. U uvodu je najprije definiran problem istraživanja, zatim je istražen i objašnjen pojam „Big data“, a potom su objašnjene i njegove osnovne 4 dimenzije, odnosno aspekta. U središnjem dijelu rada prikazani su primjeri analize Big data i zanimljivih rezultata koje su te analize polučile, a poseban osvrt dan je na Big Data u menadžmentu. |
| Keywords: | Big data, menadzment, podaci, SMART model |
| JEL: | M12 M54 D83 L86 |
| Date: | 2016–05–03 |
| URL: | http://d.repec.org/n?u=RePEc:osi:wpaper:1601&r=ict |
| By: | Simplice Asongu (Yaoundé/Cameroun); Jacinta C. Nwachukwu (Coventry University, UK) |
| Abstract: | Despite the evolving literature on the development benefits of mobile phones, we still know very little about factors that influence their adoption. Using twenty five policy variables, we investigate determinants of mobile phone penetration in 49 Sub-Saharan African countries with data for the period 2000-2012. The empirical evidence is based on contemporary and non-contemporary OLS, Fixed effects, System GMM and Quantile regression techniques. The determinants are classified into six policy categories. They are: (i) macroeconomic, (ii) business/bank, (iii) market-related, (iv) knowledge economy, (v) external flows and (vi) human development. Results are presented in terms of threshold and non-threshold effects. The former has three main implications. First, there are increasing positive benefits in regulation quality, human development, foreign investment, education, urban population density and internet penetration. Second, there is evidence of decreasing positive effects from patent applications. Third, increasing negative impacts are established for foreign aid and return on equity. Non-threshold tendencies are discussed. Policy implications are also covered with emphasis on policy syndromes to enhance more targeted implications for worst performing nations. |
| Keywords: | Panel data; Mobile phones; Development; Africa |
| JEL: | C23 L96 O11 O33 O55 |
| Date: | 2016–11 |
| URL: | http://d.repec.org/n?u=RePEc:agd:wpaper:16/046&r=ict |
| By: | Thomas W. Quan (University of Georgia); Kevin R. Williams (Cowles Foundation, Yale University) |
| Abstract: | Online retail gives consumers access to an astonishing variety of products. However, the additional value created by this variety depends on the extent to which local retailers already satisfy local demand. To quantify the gains and account for local demand, we use detailed data from an online retailer and propose methodology to address a common issue in such data - sparsity of local sales due to sampling and a significant number of local zeros. Our estimates indicate products face substantial demand heterogeneity across markets; as a result, we find gains from online variety that are 30% lower than previous studies. |
| Keywords: | Product Variety, Demand Estimation, Long Tail, Online Retail |
| JEL: | C13 L67 L81 |
| Date: | 2016–11 |
| URL: | http://d.repec.org/n?u=RePEc:cwl:cwldpp:2054&r=ict |