nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2022‒06‒13
nine papers chosen by
Marek Giebel
Universität Dortmund

  1. Learning Organization Mechanism within the Framework of Electronic-Based Government System in Mamuju District By Kamal, kasmad
  2. Mobile Phones, Mobile Internet, and Employment in Uganda By Yann Balgobin; Antoine Dubus
  3. Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics By Maysa M. Garcia de Macedo; Wyatt Clarke; Eli Lucherini; Tyler Baldwin; Dilermando Queiroz Neto; Rogerio de Paula; Subhro Das
  4. The Determinants of Internet User Skills in Europe By Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Giardinelli, Vito O. M.; Massaro, Alessandro
  5. Is Pakistan Entering into the Digital Currency Ecosystem? By Saddam Hussein; Abdul Jalil
  6. AI, Trade and Creative Destruction: A First Look By Daniel Trefler; Ruiqi Sun
  7. E-Money and Deposit Insurance in Kenya By Bert Van Roosebeke; Ryan Defina; Paul Manga
  8. How long do voluntary lockdowns keep people at home? The role of social capital during the COVID-19 pandemic By Yuta Kuroda; Takaki Sato; Yasumasa Matsuda
  9. Mobile money-driven financial inclusion, exposure to shocks and households' financial resilience strategies adoption process: Evidence from Cameroon By Patrick-Hervé Mbouombouo Mfossa

  1. By: Kamal, kasmad
    Abstract: This study undertook an analysis of learning organization in the implementation of electronic-based government system (SPBE) in Mamuju District. The study used a qualitative approach. The results of the study show that the implementation of electronic-based government system in Mamuju District encourage organizations perform transformations organization of the mechanism manually to the mechanism of electronics is realized through changes in environmental organizations as a form of adjustments to the implementation of electronic-based government systemernment such as changes in the structure , mechanisms of work and patterns of communication and culture as well as the attitude of employees in work. The mechanism of learning organization practiced during the implementation of electronic-based government systemernment in the District Mamuju such as decision and policy leaders are accompanied by the preparation of human resources personnel are capable to work through strategies of education and exercise to improve the knowledge and skills of employees in the field of information communication technology (ICT), to encourage employees to share knowledge and skills share knowledge through (system information manajemenet) SIM and e-learning which can support the effectiveness of the implementation of electronic-based government systemernment.
    Date: 2021–09–06
  2. By: Yann Balgobin (I3, une unité mixte de recherche CNRS (UMR 9217) - Institut interdisciplinaire de l’innovation - X - École polytechnique - Télécom ParisTech - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique); Antoine Dubus (ECARES - European Center for Advanced Research in Economics and Statistics - ULB - Université libre de Bruxelles)
    Abstract: We analyze the relation between mobile phone use - mobile Internet in particular - and employment, self-employment and job regularity in Uganda. We find no evidence of any positive impact of mobile Internet use on employment or job quality, suggesting that either respondents do not use mobile Internet for job search practices or as a job tool, or that these uses are ineffective. However, we find that the adoption and use of basic mobile phones are positively related to employment and job quality, and we argue that regulators should focus on promoting the affordability of basic phones and mobile airtime.
    Date: 2022–03–23
  3. By: Maysa M. Garcia de Macedo; Wyatt Clarke; Eli Lucherini; Tyler Baldwin; Dilermando Queiroz Neto; Rogerio de Paula; Subhro Das
    Abstract: Rapid technological innovation threatens to leave much of the global workforce behind. Today's economy juxtaposes white-hot demand for skilled labor against stagnant employment prospects for workers unprepared to participate in a digital economy. It is a moment of peril and opportunity for every country, with outcomes measured in long-term capital allocation and the life satisfaction of billions of workers. To meet the moment, governments and markets must find ways to quicken the rate at which the supply of skills reacts to changes in demand. More fully and quickly understanding labor market intelligence is one route. In this work, we explore the utility of time series forecasts to enhance the value of skill demand data gathered from online job advertisements. This paper presents a pipeline which makes one-shot multi-step forecasts into the future using a decade of monthly skill demand observations based on a set of recurrent neural network methods. We compare the performance of a multivariate model versus a univariate one, analyze how correlation between skills can influence multivariate model results, and present predictions of demand for a selection of skills practiced by workers in the information technology industry.
    Date: 2022–05
  4. By: Leogrande, Angelo; Magaletti, Nicola; Cosoli, Gabriele; Giardinelli, Vito O. M.; Massaro, Alessandro
    Abstract: The following article indicates the determinants of “Internet User Skills” among European countries based on the application of the database deriving from the DESI-Index. The data were analyzed using the following econometric models, namely: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS, WLS corrected for heteroskedasticity. The Elbow method and the Silouette coefficient method were compared for the optimization of the number of clusters obtained by the k-Means algorithm. The result shows the presence of 5 clusters. A network analysis was carried out using the Euclidean distance with the result of identifying two network structures between some analyzed countries. subsequently a comparison was made between six different machine learning algorithms for the prediction of the future value of the variable of interest. The result shows that the best predictor algorithm is Gradient Boosted Tree Regression with an expected value of the predicted variable increasing by a value of 1.75%. Later a further comparison was made by comparing 6 algorithms with the increased data. The result shows that the best predictor is Simple Regression Tree. The interest variable is predicted to decrease by an amount equal to -6.099%. Statistical errors improve on average by 32.43% in the transition between the original data and the increased data.
    Keywords: Innovation, and Invention: Processes and Incentives; Management of Technological Innovation and R&D; Diffusion Processes; Open Innovation
    JEL: O30 O31 O32 O33 O34
    Date: 2022–05–18
  5. By: Saddam Hussein (Pakistan Institute of Development Economics); Abdul Jalil (Pakistan Institute of Development Economics)
    Abstract: Digital currency is defined as any currency available exclusively in electronic form. For instance, you could go to an Auto Teller Machine (ATM) or a bank and turn an electronic record of your currency holdings into physical dollars. However, it never takes physical form. It always remains on a computer network and is exchanged via digital means. For example, instead of using physical Rupee notes, you would make purchases by transferring digital currency to retailers using your mobile device. Digital currency is the future because of faster payments, less expensive, smooth international transactions, efficiency, lesser corruption, and maximum financial inclusion.
    Keywords: Pakistan, Digital Currency, Ecosystem
    Date: 2022
  6. By: Daniel Trefler; Ruiqi Sun
    Abstract: Artificial Intelligence is a powerful new technology that will likely have large impacts on the size, direction and composition of international trade flows. Yet almost nothing is known empirically about this. One AI-enabled set of services that can be tracked resides in the palm of our hands: the Mobile Apps used by half the world's population. To analyze the impact of AI on international trade in mobile App services we merge 2014-2020 data on international downloads of mobile Apps with data on the AI patents held by each App's parent company. From this we build a measure of AI deployment. We instrument AI deployment using cost-shifters from the theory of comparative advantage: Countries with a large stock of AI expertise will have a comparative advantage producing AI-intensive Apps. We show the following IV results. (1) Bilateral Trade: AI deployment increases App downloads by a factor of six. (2) Variety Effects: AI deployment doubles the number of exported App varieties. (3) Creative Destruction: AI deployment increases creative destruction (entry and exit of Apps) and in 2020 the net effect was an increase in welfare of between 2.5% and 10.6%.
    JEL: F1 F12 F14
    Date: 2022–04
  7. By: Bert Van Roosebeke (International Association of Deposit Insurers); Ryan Defina (International Association of Deposit Insurers); Paul Manga (Kenya Deposit Insurance Corporation)
    Abstract: E-money is widespread in Kenya, especially through MPESA, a form of e-money stored on mobile phones and issued by Safaricom, a mobile network operator (MNO). Integration between the MPESA platform and the traditional banking system is increasing. Given the very high use-grade of MPESA throughout the population, it has reached critical importance in Kenya. In Kenya, e-money issuers must back their e-value with bank balances at commercial banks (float), through trust accounts. Deposit insurance does not cover a default of the e-money issuer. However, the Kenya Deposit Insurance Corporation aims at offering pass-through coverage in case of a default of the deposit-taking commercial bank holding the trust accounts. Pass-through coverage is confronted with a number of challenges, including regarding data on the identity of e-money users and their balances held. Also, the critical importance of MPESA raises questions as to how to deal with a potential default of the MNO and the role of deposit insurance in such a scenario. Looking forward, there is merit in further coordination amongst safety net participants as well as in the management of trust accounts and the strengthening of data-availability requirements to e-money issuers.
    Keywords: deposit insurance, bank resolution
    JEL: G21 G33
    Date: 2021–12
  8. By: Yuta Kuroda; Takaki Sato; Yasumasa Matsuda
    Abstract: We create a city-by-day-level mobility index for the duration of the COVID-19 pandemic from data on over 80 million mobile devices to analyze how social distancing compliance varies with social capital levels. We find that in the second year of the pandemic, both voluntary preventative activities and policy compliance were substantially reduced in areas with low levels of social capital but not in areas with high levels of social capital. Additionally, in Japan, mobility was clearly reduced among those supporting a majority party, and there is little heterogeneity by political preference as related to ideology or position. This suggests that valuing conformity with others is an important driver of behavior that is beneficial to the community.
    Date: 2022–05
  9. By: Patrick-Hervé Mbouombouo Mfossa (CCAM - Centre Congolais Allemand de Microfinance - UPC - Université protestante au Congo)
    Abstract: Relying on the 2017 Cameroon Finscope Consumer survey dataset, the goal of this working paper is to conceptualize households' adoption of financial resilience strategies to adverse shocks as a multi-step process and investigate the key factors that influence the transition from one step to another as well as the role of mobile money in each of these transitions
    Abstract: En s'appuyant sur les données de l'enquête Finscope 2017 auprès des consommateurs camerounais, l'objectif de ce document de travail est de conceptualiser l'adoption par les ménages de stratégies de résilience financière face à des chocs défavorables comme un processus à plusieurs étapes et d'étudier les facteurs clés qui influencent la transition d'une étape à l'autre ainsi que le rôle du mobile money dans chacune de ces transitions.
    Keywords: Multi-step process,Financial resilience strategies,Fiancial inclusion,Mobile money,Stratégies de résilience financière,Processus à plusieurs étapes,Inclusion financière
    Date: 2022–03–19

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