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on Heterodox Microeconomics |
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Issue of 2025–03–24
nine papers chosen by Carlo D’Ippoliti, Università degli Studi di Roma “La Sapienza” |
| By: | Nasrum, Muhammad |
| Abstract: | This study examines the moral and value-based framing of credit cards as an important tool of Indonesian financial perceptions and practices. By exploring the concept of ‘moral alchemy’, the transformation of cultural values and ethical perspectives on debt and credit is embodied and materialized in credit cards. Using a dynamic mix of multisite ethnography and netnography, I examine how credit card communities in Indonesia are reshaping the use of credit cards from a symbol of risky privileges to tools for financial empowerment. This research combines three areas of interest: Cultural economics, sociocultural perspectives on ethics, and value theory to provide a comprehensive understanding of this phenomenon. My findings show how consumers who are part of the largest community of credit card users in Indonesia actively reshape their moral beliefs to adapt to new financial practices, illustrating the complex interaction between global financial products and local cultural contexts. Such communities represent more than just the adoption of new financial instruments. They also represent a fundamental shift in how consumers and businesses interact with modern financial instruments. This research makes a valuable contribution to the growing literature on financial and economic practices based on socio-cultural perspectives and offers interesting insights into how innovative financial products are adopted and reinterpreted based on moral preferences and values that enable financial returns. |
| Date: | 2024–10–16 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:q9y7d_v1 |
| By: | Moleka, Pitshou Basikabio |
| Abstract: | In an era of rapid technological advancements, complex global challenges, and intense market competition, the ability to generate and scale innovative solutions has become a critical imperative for organizations, policymakers, and societies worldwide. However, the existing academic landscape has lacked a cohesive, multidisciplinary framework for comprehensively understanding the multifaceted nature of innovation. Innovationology, a newly established scientific discipline, aims to address this gap by providing a unifying, transdisciplinary approach to the study and practice of transformative innovation. This comprehensive article introduces Innovationology as a cutting-edge science that integrates insights from diverse fields, including management, psychology, sociology, economics, and technology studies. Innovationology posits that innovation is a multilayered, context-dependent phenomenon, shaped by the intricate interplay of individual, team, organizational, and ecosystem-level factors. By synthesizing the latest theoretical advancements and empirical evidence, this article presents a holistic model of Innovationology that illuminates the key determinants of radical, game-changing innovations capable of disrupting existing industries and creating new market spaces. The article delves deep into the individual cognitive, behavioral, and motivational drivers of innovativeness, the team dynamics and organizational structures that foster collaborative innovation, and the ecosystem-level characteristics that catalyze the emergence and scaling of transformative innovations. Importantly, the article explores the crucial role of contextual factors, such as socio-cultural norms, institutional support, and resource availability, in shaping innovation outcomes. This article also establishes the epistemological foundations of Innovationology, grounding it in a transdisciplinary, holistic, and pragmatic approach to knowledge generation. Innovationology embraces a pluralistic epistemology that acknowledges the complexity and context-dependence of innovation, drawing on diverse methodological approaches to capture the multifaceted nature of this phenomenon. Furthermore, the article outlines the object of Innovationology, which is to provide a comprehensive, evidence-based understanding of the drivers, processes, and outcomes of transformative innovation. Innovationology seeks to elucidate the multilevel determinants of innovation, the dynamic interplay between various factors, and the contextual influences that shape innovation trajectories. By establishing a unifying, transdisciplinary framework, Innovationology aims to bridge the gap between innovation theory and practice, empowering a wide range of stakeholders to unlock the transformative potential of innovation. Importantly, this article outlines the practical applications of Innovationology, providing comprehensive strategies and evidence-based interventions for cultivating innovative mindsets, designing innovation-conducive organizational systems, and navigating the challenges of innovative ecosystems. The implications of Innovationology for entrepreneurs, corporate leaders, policymakers, and innovation scholars are discussed in detail. By establishing Innovationology as a distinct, authoritative scientific discipline, this article sets the foundation for a more holistic, context-sensitive understanding of innovation and its multifaceted drivers. The insights generated by this new science can empower global organizations, institutions, and policymakers to address the complex, interconnected challenges of the 21st century through the strategic deployment of transformative innovations. |
| Date: | 2024–09–10 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:f3scj_v1 |
| By: | Nasrum, Muhammad |
| Abstract: | This article presents an anthropological study on credit card use in Indonesia. It focuses on cultural and social knots that mutually influence financial knowledge and experience using the concepts of performativity and temporality in relation to the rapid process of financialization. By focusing on the credit card community in Indonesia, this article explains how they strategize their financial algorithms in the credit card management cycle. This article contributes to anthropological research on the unequal impact of credit card use by exploring the complex relationship between access to financial and ethical justice, variations in cultural contexts, and social hierarchies. The research examines how financial temporality is created through material and institutional practices. The findings presented in this article underscore the importance of considering credit card activities within a broader framework of financialization and complex social dynamics in contemporary Indonesia and other similar contexts. This study contributes to theoretical discussions on the social and cultural elements of financialization by providing an in-depth and specific narrative analysis of credit and debt. |
| Date: | 2024–10–16 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:4wjzv_v1 |
| By: | Scanlan, Oliver; Mankhin, Anitta; Ritchil, Parag |
| Abstract: | In the mid-1980s, the state summarily cancelled the property rights of the Indigenous Peoples of Madhupur, Bangladesh, that hitherto were thoroughly embedded in the national legal-administrative architecture. The removal of capital from formal circuits of exchange is irrational in economic terms. This is a case where neoliberalism has been constrained by the state’s defense of a racialized hierarchy embedded in majoritarian understandings of the nation. Further exploration of how racial capitalism works by excluding certain ethnic groups from capital is likely to shed new light on processes of dispossession, particularly in regions where ethnic complexity, biological diversity and “old land wars” intersect. |
| Date: | 2025–01–06 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:7s68d_v1 |
| By: | Aldo Glielmo; Mitja Devetak; Adriano Meligrana; Sebastian Poledna |
| Abstract: | BeforeIT is an open-source software for building and simulating state-of-the-art macroeconomic agent-based models (macro ABMs) based on the recently introduced macro ABM developed in [1] and here referred to as the base model. Written in Julia, it combines extraordinary computational efficiency with user-friendliness and extensibility. We present the main structure of the software, demonstrate its ease of use with illustrative examples, and benchmark its performance. Our benchmarks show that the base model built with BeforeIT is orders of magnitude faster than a Matlab version, and significantly faster than Matlab-generated C code. BeforeIT is designed to facilitate reproducibility, extensibility, and experimentation. As the first open-source, industry-grade software to build macro ABMs of the type of the base model, BeforeIT can significantly foster collaboration and innovation in the field of agent-based macroeconomic modelling. The package, along with its documentation, is freely available at https://github.com/bancaditalia/BeforeIT.jl under the AGPL-3.0. |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2502.13267 |
| By: | Horst Treiblmaier |
| Abstract: | Dee Hock, the founder of Visa, coined the term 'chaordic' to describe simultaneously chaotic and ordered systems. Based on his reasoning, we introduce the Theory of Chaordic Economics to explain how economic systems are transformed by two disruptive technologies: namely Artificial Intelligence and Blockchain. Artificial intelligence can generate novel output through algorithmic yet rather unpredictable processes. Blockchain creates deterministic results without central authorities and relies on elaborated protocols that prescribe how consensus can be reached within a network of peers. The amalgamation of chaos and order produces chaordic economic systems and can yield hitherto unthinkable economic structures. |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2502.16596 |
| By: | Pencavel, John H. (Stanford University) |
| Abstract: | The operation of American labor markets during the two World Wars is described and the well-being of civilian workers during those years is assessed. These were periods when decentralized capitalism was replaced with a system of centralized direction and control that some would call socialism. The state's activities were those of a monopsonist - the dominant or, even, single buyer - in the markets for many goods and services. Why was decentralized capitalism discarded as a mechanism to allocate resources during these critical periods? How well did civilian workers fare during these years? |
| Keywords: | World War, employment, wages, unionism, laissez faire, socialism |
| JEL: | J20 N32 P23 |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:iza:izadps:dp17680 |
| By: | Hoang Vu; Tomoyuki Ichiba |
| Abstract: | We investigate the full dynamics of capital allocation and wealth distribution of heterogeneous agents in a frictional economy during booms and busts using tools from mean-field games. Two groups in our models, namely the expert and the household, are interconnected within and between their classes through the law of capital processes and are bound by financial constraints. Such a mean-field interaction explains why experts accumulate a lot of capital in the good times and reverse their behavior quickly in the bad times even in the absence of aggregate macro-shocks. When common noises from the market are involved, financial friction amplifies the mean-field effect and leads to capital fire sales by experts. In addition, the implicit interlink between and within heterogeneous groups demonstrates the slow economic recovery and characterizes the deviating and fear-of-missing-out (FOMO) behaviors of households compared to their counterparts. Our model also gives a fairly explicit representation of the equilibrium solution without exploiting complicated numerical approaches. |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2502.10666 |
| By: | Kapoor, Amita; Singh, Narotam; Chaudhary, Vaibhav; Singh, Nimisha; Soni, Neha |
| Abstract: | This paper explores the transformative impact of Generative AI (GenAI) on the business landscape, examining its role in reshaping traditional business models, intensifying market competition, and fostering innovation. By applying the principles of Neo-Schumpeterian economics, the research analyses how GenAI is driving a new wave of "creative destruction, " leading to the emergence of novel business paradigms and value propositions. This research incorporates a novel AI-augmented SPAR-4-SLR framework as a key component, offering a systematic and innovative approach to analysing the rapidly evolving GenAI domain. By leveraging co-occurrence network analysis and LLM-based evaluation, this methodology identifies interdisciplinary trends and highlights diverse applications of GenAI. Beyond this, the study extends its scope to explore insights from internet-scraped data, Twitter analytics, and company reports, providing a comprehensive understanding of how GenAI is transforming businesses. This multi-faceted approach underscores GenAI's profound impact across industries such as technology, healthcare, and education, revealing its role in enhancing operational efficiency, driving product and service innovation, and creating new revenue streams. However, the deployment of GenAI also presents significant challenges, including ethical concerns, regulatory demands, and the risk of job displacement. By addressing the multifarious nature of GenAI, this paper provides valuable insights for business leaders, policymakers, and researchers, guiding them towards a balanced and responsible integration of this transformative technology. Ultimately, GenAI is not merely a technological advancement but a driver of profound change, heralding a future where creativity, efficiency, and growth are redefined. |
| Date: | 2024–11–20 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:khptm_v1 |