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on Information and Communication Technologies |
| By: | Alessio Tomelleri; Giorgio Cutuli; Andrea Signoretti |
| Abstract: | In the last decades, socio-economic literature has paid considerable attention to the distribution of costs and benefits of technological introduction and ICT diffusion for different segments of the workforce, mainly across distinct occupational or educational groups. This study explores how wage returns to ICT use differ between temporary and permanent workers focusing on the role of trade unions in mitigating this contractual divide. Using recent European microdata from the ESJ2 survey (CEDEFOP 2022), we examine whether union membership enhances wage outcomes for temporary workers using digital skills, and how this effect varies depending on national patterns of union representation. By combining individual-level information with country-level indicators of trade union density across contractual types, we assess how micro and macro level dynamics shape wage parity in ICT returns. Overall, our findings reveal a clear penalty for non-unionised temporary workers. The protective role of trade union membership is nonetheless significant only in national contexts characterized by similar level of trade union density across contractual groups. These results underscore both the conditionalities and potentials of industrial relations in fostering inclusive labour markets amid technological change. |
| Keywords: | ICT skills, wage premiums, European labour markets, temporary contracts, trade unions |
| JEL: | J2 E24 O30 J50 |
| Date: | 2025–08 |
| URL: | https://d.repec.org/n?u=RePEc:fbk:wpaper:2025-04 |
| By: | Dejan Glavas (ESSCA School of Management, Paris); Gilles Grolleau (ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School); Naoufel Mzoughi (ECODEVELOPPEMENT - Ecodéveloppement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement) |
| Abstract: | This study investigates trust of information technology (IT) professionals in artificial intelligence (AI), human experts, and their combination for achieving Sustainable Development Goals (SDGs). Through a survey of IT project managers and frequent AI users across France, the United Kingdom, and Belgium, our findings reveal that respondents place significantly higher trust in human experts and combinations of AI and human expertise, compared to AI. Notably, individuals who most frequently use AI technology show stronger preference for human-AI collaborative approaches, suggesting that familiarity with AI leads to better understanding of its complementary role with human expertise. The study demonstrates that successful AI implementation for achieving SDGs requires careful integration with human oversight rather than standalone deployment. |
| Keywords: | sustainable development, SDG, Artificial intelligence |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05209259 |
| By: | William J. Vogt (The Digital Economist, Washington, DC, USA) |
| Abstract: | Large geopolitical actors display an understanding that the former countries of the Portuguese empire (Portugal, Brazil, Angola, Guinea-Bissau, Cabo Verde, Sao Tome and Principe, Mozambique, Timor-Leste) predominantly border strategic routes namely in the Atlantic Ocean, that include significant amounts of maritime exclusive economic zone control throughout the global seas. In international affairs, these territorial claims constitute important spheres of influence covered under the umbrellas of multiple multilateral organizations, including the European Union (EU), the African Union, the North Atlantic Treaty Organization (NATO), and the BRICS (Brazil, Russia, India, China, South Africa). Geopolitics practitioners thus have interest in greater touchpoints with/in Portuguese-speaking (Lusophone) institutions like the Comunidade dos Paises de Lingua Portuguesa (CPLP, or the Community of Portuguese-speaking Countries) and similar regional associations connecting Lusophone African states. This paper provides additional foundational evidence about the viability of a Lusophone-first statecraft strategy in security and trade for the benefit of major global actors, with an emphasis on how advanced information communication technology (ICT) and AI policies will contribute to several expected outcomes in constructing physical and media connectivity infrastructures. |
| Keywords: | Portuguese-Speaking, Diplomacy, Geopolitics, Technology, Artificial Intelligence (AI), Multilateral, Infrastructure, Foreign Policy, Lusophone, Africa, Atlantic |
| Date: | 2025–06 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0539 |
| By: | Filippo Marchesani |
| Abstract: | This chapter explores the six core dimensions of smart cities (i.e. smart economy, mobility, environment, people, living, and governance) emphasizing their interdependence and the need for holistic orchestration. Building on Giffinger et al. (2007) and subsequent literature, it argues that integrating these dimensions is crucial for sustainable urban development. ICT plays a key enabling role but must be complemented by human and social capital. Through institutional examples, such as the creation of dedicated municipal offices for digital innovation, the chapter illustrates how governance and internal capacity shape smart transitions. A human-centric approach is also essential, ensuring inclusivity, creativity, and active civic participation. Ultimately, smart cities must be viewed as cohesive urban ecosystems where technology, people, and governance interact dynamically. |
| Date: | 2025–07 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2507.12267 |
| By: | Julia M. Puaschunder (International University of Monaco, Economics Finance Department, Monaco) |
| Abstract: | OpenAI revolutionized the world. Rolled out in late 2022, ChatGPT based on OpenAI immediately became a success for solving everyday tasks by a broad spectrum of internet users. Access to sophisticated decision-making power and analysis of internet content became a creative destruction over the classical search engine, but also human labor power. As a classical market innovation, ChatGPT is expected to revolutionize many domains and markets. This article concerns AI use in academic teaching. First, the historical advent of OpenAI and ChatGPT is outlined. Second, empirical evidence is summarized on the use of AI in education with particular attention to user experience and market transformation capacity. Third, the strengths and weaknesses as well as opportunities and threats in using AI for teaching will be discussed and the polarizing acceptance of a tool that serves as decision making aid in educational settings thematized. Fourth, practical implications and recommendations are given. Fifth, the future of AI in teaching but also the ethical boundaries of an adoption of AI in education will be outlined. |
| Keywords: | Artificial Intelligence, Behavioral Economics, Behavioral Insights, Digitalization, Digi-Disruption, Economic Growth, Market Disruption, Public Policy, Teaching, Technology, Technological Changes |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0511 |
| By: | Neville Welch (Capitol Technology University, USA); Darrell Norman (Capitol Technology University, USA) |
| Abstract: | The relentless pursuit of competitive excellence in sports has long paralleled technological innovation, and in recent years, artificial intelligence has emerged as a transformative force reshaping the athletic landscape. This perspective paper critically examines the multifaceted implications of AI-powered technologies, with a particular focus on image recognition systems that enable unprecedented precision in player performance analysis, tactical strategy, and fan engagement. Against the backdrop of escalating financial pressures, from Name, Image, and Likeness agreements in collegiate sports to soaring professional contracts and media rights, the imperative for efficiency and effectiveness in leadership decision-making has never been more pronounced. However, despite AI’s potential to revolutionize sports management and analytics, significant technical and ethical challenges persist, including concerns about model accuracy across varied sports contexts, data biases, and privacy issues related to biometric information. This paper synthesizes insights from technology management, human-computer interaction, and organizational behavior to explore how AI adoption reshapes organizational cultures, decision-making processes, and the social dynamics within sports ecosystems. Drawing upon examples from basketball and football, the analysis highlights both the transformative promise and the cautionary complexities of integrating AI technologies at scale. Ultimately, this inquiry argues that the sports community must navigate these technological frontiers judiciously, ensuring that organizational culture, change management dynamics, ethics, and leadership dynamics are at the core of how these AI technologies and tools are developed, deployed, and managed. |
| Keywords: | Artificial Intelligence, Sports Analytics, Image Recognition, Sports Management, Organizational Change, Leadership Decision-Making, Human-Computer Interaction, Technology Adoption, Technology Management |
| Date: | 2025–06 |
| URL: | https://d.repec.org/n?u=RePEc:smo:raiswp:0530 |
| By: | Camilo Levenier |
| Abstract: | This study analyzes the relationship between machines and employment across different workers' income quintiles, utilizing firm-level and worker-level microdata for Chile from 2009 to 2023, considering a total of 80, 000 firms and 2, 900, 000 workers. To investigate this dynamic, a panel regression is used, modeling employment as a function of machines and a set of other covariates. Additionally, a generalized propensity score is used to address the endogeneity problem. The results indicate that the relationship between machines and employment is predominantly negative, especially for workers in the middle-income quintiles and for certain economic sectors such as business services, transport, and information & communication. Furthermore, the results suggest that the relationship between machines and employment in high-income quintiles has been positive, supporting the idea that technological development requires highly qualified workers. Overall, the results suggest that automation has had heterogeneous effects on employment in the Chilean labor market, and these effects are smaller than those suggested by the literature. |
| Date: | 2025–06 |
| URL: | https://d.repec.org/n?u=RePEc:chb:bcchwp:1048 |
| By: | Kai Gehring; Matteo Grigoletto |
| Abstract: | Understanding behavioral aspects of collective decision-making remains a core challenge in economics. Political narratives can be seen as a key communication technology that shapes and affects human decisions beyond pure information transmission. The effectiveness of narratives can be driven as much by their virality as by their specific persuasion power. To analyze political narratives empirically, we introduce the political narrative framework and a pipeline for its measurement using large language models (LLMs). The core idea is that the essence of a narrative can be captured by its characters, which take on one of three archetypal roles: hero, villain, and victim. To study what makes narratives go viral we focus on the topic of climate change policy and analyze data from the social media platform Twitter over the 2010–2021 period, using retweets as a natural measure of virality. We find that political narratives are consistently more viral than neutral messages, irrespective of time or author characteristics and other text features. Different role depictions differ in terms of emotional language, but political narratives capture more than merely valence or emotions. Hero roles and human characters increase virality, but the biggest virality boost stems from using villain roles and from combining other roles with villain characters. We then examine the persuasiveness of political narratives using a set of online experiments. The results show that narrative exposure influences beliefs and revealed preferences about a character, but a single exposure is not sufficient to move support for specific policies. Political narratives lead to consistently higher memory of the narrative characters, while memory of objective facts is not improved. |
| Keywords: | narrative economics, climate change policy, social media, virality, political economy, media economics, text-as-data, large language models |
| JEL: | C80 D72 L82 H10 P16 Q54 Z1 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_12064 |