nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2026–07–20
eleven papers chosen by
Marek Giebel, Universität Dortmund


  1. Innovation Booms, Easy Financing, and Human Capital Accumulation By Johan Hombert; Adrien Matray
  2. Unwilling to Reskill? Experimental Evidence from Real-World Jobseekers By Delfino, Alexia; Garnero, Andrea; Inferrera, Sergio; Leonardi, Marco; Sadun, Raffaella
  3. Farmers’ behaviour towards Digital Agriculture in Tashkent region By Tolipov, Ibrokhim; Abdushukurov, Jasur
  4. Automation Risk, Innovative Capital, and Labour Market Outcomes : Evidence from Japan By FUKAO, Kyoji; IKEUCHI, Kenta; NAGAYA, Yoshiaki; PERUGINI, Cristiano; POMPEI, Fabrizio
  5. New Technology and Entrepreneurship By Hvide, Hans K.; Meling, Tom G.
  6. Embracing GenAI: A Comparison of Italian and US Households By Loschiavo, David; Armantier, Olivier; Dalla-Zuanna, Antonio; Gambacorta, Leonardo; Moscatelli, Mirko; Supino, Ilaria
  7. Too burdened to benefit: job demands and the fading perceived usefulness of health IT By Olivier Arsene; Claudio Vitari
  8. Modern Communication Technologies, Protests, and Service Blocking By Ananyev, Maxim; Petrova, Maria; Xefteris, Dimitrios; Zudenkova, Galina
  9. Beyond codes of conduct: shared values for digitalization By Bardhan, Indranil; Damsgaard, Jan; Lee, Gwanhoo; Sarker, Suprateek; Whitley, Edgar; Xu, Heng
  10. Situational awareness and IT mindfulness: preliminary results of a case study on the deployment of collaborative effectors in an air combat context By Juliette Frédy; Cécile Godé; Philippe Lépinard
  11. Guiding Monetary Policy during a Productivity Boom: Evidence from the 1990s By Kevin L. Kliesen; David C. Wheelock

  1. By: Johan Hombert; Adrien Matray
    Abstract: Innovation booms are often fueled by easy financing, allowing new technology firms to pay high wages that attract skilled labor. Studying the information and communication technology (ICT) boom in the late 1990s, we show that high-skill workers who joined the ICT sector during the boom experienced sizeable long-term earnings losses. These earnings patterns stem from accelerated skill obsolescence rather than worker selection or the subsequent bust in the ICT sector. Moreover, during the boom, financing disproportionately flowed to firms whose workers would later experience the largest productivity declines, amplifying the negative effect of labor reallocation on aggregate human capital accumulation.
    Keywords: innovation; human capital; financing
    JEL: J24 O33 J31 G24
    Date: 2026–07–06
    URL: https://d.repec.org/n?u=RePEc:fip:fedawp:103489
  2. By: Delfino, Alexia; Garnero, Andrea; Inferrera, Sergio; Leonardi, Marco; Sadun, Raffaella
    Abstract: We study barriers preventing jobseekers from pursuing reskilling in high-demand occupations. Using a discrete choice experiment, we quantify the demand for reskilling among Italian jobseekers in two white-collar high-demand occupations—information technology assistant and construction technician—and identify its main determinants. Willingness to pay estimates show that participants are willing to pay to reskill into IT, but would require compensation to reskill into construction. Beliefs about monetary returns and social status help explain differences in reskilling demand, but perceived identity fit in the target occupation emerges as the most important individual-level factor shaping reskilling decisions. A light-touch randomized information intervention providing data on occupational returns significantly increases both stated interest in reskilling and actual engagement in real- world training.
    Keywords: Information; Unemployment; Occupational change; Identity; Discrete choice experiment
    JEL: I20 J24 J32 J6 D83
    Date: 2026–01
    URL: https://d.repec.org/n?u=RePEc:cpr:ceprdp:21055
  3. By: Tolipov, Ibrokhim; Abdushukurov, Jasur
    Abstract: Promoting digital agriculture is one of the ways to increase the productivity of farms, reduce the use of resources and enhance management. However, adoption of digital tools in practice also requires farmer's willingness and capacity. This paper explored the attitude of farmers to the use of digital agriculture in the region of Qibray in Uzbekistan, Tashkent Region, where there is a lack of direct evidence at the level of farmers and the national digitalisation policy is developing. The study evaluated the association between socio-economic, ICT-related and behavioural factors with adoption and the relationship between the perceived productivity, income and management outcomes of adopters and the non-adopters. A positivist quantitative design was used, based on a structured survey of 60 active farmers. The data were analyzed, using descriptive statistics, group comparison tests, correlation analysis and binary logistic regression, in Stata software. The results revealed a definite awareness-acceptance gap as only 33.3% of the respondents were adopters, while high levels of smartphone ownership and internet access were observed, with platform awareness also high. The socio-economic and ICT variables were found to be weak support, whereas behavioural readiness, particularly future intention, was found to be more significant. Adopters experienced higher productivity and management improvements while income improvement was weaker. The study suggests that training, affordability, advisory services and farmer confidence are key policy areas to focus on in digital agriculture.
    Keywords: digital agriculture, technology adoption, farmers’ behavior, Uzbekistan, Qibray district, ICT, behavioural readiness, farm management
    JEL: Q16 O33 Q12 D91
    Date: 2026
    URL: https://d.repec.org/n?u=RePEc:zbw:esprep:341697
  4. By: FUKAO, Kyoji; IKEUCHI, Kenta; NAGAYA, Yoshiaki; PERUGINI, Cristiano; POMPEI, Fabrizio
    Abstract: This study provides an empirical assessment of the relationship between automation risk and labour market performance. To this aim, we use as a key original information the Automation Risk Index (ARI), a new dataset that quantifies the exposure of Japanese occupations and industries to artificial intelligence and robotic technologies at a highly disaggregated level. Our findings indicate that a higher intensity of innovative capital—including ICT infrastructure, AI technologies, and robotics—is associated with lower employment and wage levels. At the same time, these adverse effects are considerably attenuated in industries where occupations face a lower risk of automation, with the mitigating impact being particularly evident for highly educated, male, and younger workers. Overall, the evidence points to the importance of both reduced automation exposure and complementarities between workers' skills and advanced technologies in sustaining workers' bargaining position and limiting the negative labour market consequences of technological change.
    Keywords: AI and Robotics, Automation Risk, ICT Capital, Labour Market
    JEL: J23 J24 J31 O33
    Date: 2026–06
    URL: https://d.repec.org/n?u=RePEc:hit:hitcei:2026-03
  5. By: Hvide, Hans K.; Meling, Tom G.
    Abstract: We study how entrepreneurs respond to investment opportunities created by new technologies. Using the staggered rollout of broadband internet in Norway as a natural experiment, we find that access to the new technology increases startup rates by about 25% without reducing their quality. The effects are strongest in ICT-intensive industries, and treated entrepreneurs are more likely to invest in complementary assets such as computers. Consistent with existing literature, established firms show a more muted response to the new technology. Our findings suggest that entrepreneurs play a key role in adapting the economy to technological change.
    Keywords: Broadband; entrepreneurship; Technology adoption; Technology diffusion
    JEL: D21 D24 J23 L11 L25 G39
    Date: 2026–02
    URL: https://d.repec.org/n?u=RePEc:cpr:ceprdp:21200
  6. By: Loschiavo, David; Armantier, Olivier; Dalla-Zuanna, Antonio; Gambacorta, Leonardo; Moscatelli, Mirko; Supino, Ilaria
    Abstract: This paper explores the household adoption of Generative Artificial Intelligence (GenAI) in the United States and Italy, leveraging survey data to compare usage patterns, demographic influences, and employment sectoral composition effects. Our findings reveal higher adoption rates in the US, driven by socio-demographic differences between the two countries. Despite their lower usage of GenAI, Italians are more confident in its potential to improve their well-being and financial situation. Both Italian and US users tend to trust GenAI tools less than humanoperated services, but Italians report greater relative trust in government and institutions when handling personal data with GenAI tools.
    Keywords: Generative AI; Technology adoption; Cross-country comparisons; Socio-demographic factors; Trust in technology; Cultural attitudes
    JEL: O33 D10 J24
    Date: 2026–01
    URL: https://d.repec.org/n?u=RePEc:cpr:ceprdp:21083
  7. By: Olivier Arsene (EESC-GEM - Grenoble Ecole de Management); Claudio Vitari (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)
    Abstract: Background:Healthcare professionals in France are exposed to increasing job demands, including clinical workload, administrative burden, and work-life intrusion, all of which contribute to elevated strain and burnout. Health Information Technologies are expected to act as valuable job resources by improving efficiency and supporting task coordination. Yet little is known about whether HITs are associated with a weaker relationship between job demands and strain, and whether their perceived usefulness declines when workload becomes excessive. This study applies the Job Demands-Resources model to outpatient healthcare professionals to examine how job
    Keywords: Strain, French Healthcare, Perceived Usefulness, Job Demand-Resource, Health IT
    Date: 2026–05–29
    URL: https://d.repec.org/n?u=RePEc:hal:gemptp:hal-05686749
  8. By: Ananyev, Maxim; Petrova, Maria; Xefteris, Dimitrios; Zudenkova, Galina
    Abstract: New communication technologies, such as online social networks and instant messaging platforms, are reshaping political dynamics in various countries. We develop a theory of information exchange, protests, and service blocking when citizens use these technologies for coordination of collective action with strategic complementarities. Protesters share the common discontent with the government and observe its repression capacity, but differ in individual protesting risks, and this strategic uncertainty hinders coordination. In the most informative equilibrium of the communication stage, cheap talk information exchange via modern digital services enables protesters to resolve this uncertainty and facilitate protest coordination. To counteract the protests, governments can respond by blocking communication services. We show that governments practice service blocking when public discontent reaches intermediate levels, i.e., neither reflecting broad policy satisfaction nor constituting extreme grievance; yet this nonlinear blocking pattern attenuates as the common costs of protest participation rise or as governmental blocking costs escalate. We provide high-frequency within-country empirical evidence consistent with our theoretical predictions. We document a statistically significant inverse U-shaped relationship between expected citizen discontent and the likelihood of social networking and instant messaging service blocking. This nonlinear effect is identified in countries with lower physical costs of protesting, proxied by lower levels of police presence.
    JEL: D7 D8
    Date: 2026–02
    URL: https://d.repec.org/n?u=RePEc:cpr:ceprdp:21206
  9. By: Bardhan, Indranil; Damsgaard, Jan; Lee, Gwanhoo; Sarker, Suprateek; Whitley, Edgar; Xu, Heng
    Abstract: This commentary introduces the Shared Values for Digitalization, developed by a task force of the Association for Information Systems (AIS) to guide IT professionals, educators, and students in addressing the ethical and professional challenges emerging from digital transformation. Recognizing the limitations of rigid codes of conduct in a dynamic and globally diverse digital landscape, the commentary discusses seven shared values – professional competence, trustworthiness, respect for intellectual property, privacy and confidentiality, inclusiveness, social good, and environmental sensitivity. Rather than prescribing rules, these values serve as reflective guides that encourage discernment, dialogue, and responsible action across contexts. While many students encounter ethics coursework, the Shared Values are aimed at a distinct need: professional judgment in socio-technical design and governance decisions where technical choices reshape what is measurable, contestable, and consequential. The commentary further outlines a structured process for navigating conflicts among values and illustrates its application through two cases involving artificial intelligence (AI)-driven, content moderation and data anonymization. Finally, it discusses strategies for embedding these shared values within the broader information systems community – through teaching, research, and professional practice – to cultivate ethical awareness and moral judgment in the age of digitalization.
    Keywords: digitalization;digital transformation;shared values;IT professionals;management information systems;Digitalization;artificial Intelligence (AI)
    JEL: L81
    Date: 2026–06–30
    URL: https://d.repec.org/n?u=RePEc:ehl:lserod:138292
  10. By: Juliette Frédy (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Cécile Godé (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon); Philippe Lépinard (IRG - Institut de Recherche en Gestion - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel)
    Abstract: The deployment of systems supported by emerging and disruptive technologies could transform the modalities of perception, interpretation, and decision-making for users interacting in extreme contexts. Our focus is on the deployment of remote carriers, collaborative remote effectors, whose applications are not yet stabilized. This research aims to understand and model how situational awareness and IT mindfulness are articulated when these technologies are deployed in extreme contexts. Fifteen individual interviews and one focus group, conducted with French military personnel and defense industry professionals, contribute to defining these systems, identifying their functionalities, and the anticipated interactions.
    Abstract: Le déploiement de systèmes appuyés par des technologies émergentes et de rupture pourrait transformer les modalités de perception, d'interprétation et de prise de décision des utilisateurs interagissant dans des contextes extrêmes. Notre réflexion porte sur le déploiement des remote carriers, des effecteurs déportés collaboratifs, dont les applications ne sont pas encore stabilisées. Cette recherche vise à comprendre et à modéliser comment la conscience de la situation et la pleine conscience technologique s'articulent lorsque ces technologies seront déployées en contexte extrême. Quinze entretiens individuels et un focus group réalisés auprès de militaires et d'industriels de la défense française contribuent à définir ces systèmes, identifier leurs fonctionnalités et les interactions envisagées.
    Keywords: Technologies émergentes et de rupture (TER), Contexte extrême, Pleine conscience technologique (PCT), Conscience de la situation (CS)
    Date: 2026–05–19
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-05673715
  11. By: Kevin L. Kliesen; David C. Wheelock
    Abstract: This post examines how the IT-driven productivity boom affected the U.S. economy and shaped the Federal Reserve’s monetary policy decisions in the 1990s.
    Keywords: productivity; information technology; artificial intelligence
    Date: 2026–07–13
    URL: https://d.repec.org/n?u=RePEc:fip:l00001:103527

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