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In today’s environment of the rapid rise of artificial intelligence (AI), debate continues about whether it has beneficial effects on economic development. However, there is only a fragmented perception of what role and place AI technology actually plays in economic development (ED). In this paper, we pioneer the research by focusing our detective work and discussion on the intersection of AI and economic development. Specifically, we adopt a two-step methodology. At the first step, we analyze 2211 documents in the AI&ED field using the bibliometric tool Bibliometrix, presenting the internal structure and external characteristics of the field through different metrics and algorithms. In the second step, a qualitative content analysis of clusters calculated from the bibliographic coupling algorithm is conducted, detailing the content directions of recently distributed topics in the AI&ED field from different perspectives. The results of the bibliometric analysis suggest that the number of publications in the field has grown exponentially in recent years, and the most relevant source is the “Sustainability” journal. In addition, deep learning and data mining-related research are the key directions for the future. On the whole, scholars dedicated to the field have developed close cooperation and communication across the board. On the other hand, the content analysis demonstrates that most of the research is centered on the five facets of intelligent decision-making, social governance, labor and capital, Industry 4.0, and innovation. The results provide a forward-looking guide for scholars to grasp the current state and potential knowledge gaps in the AI&ED field.

First, the benefits of AI-based training for business development are presented. Then, the theoretical literature on various stages from traditional training to AI-based training is analyzed. Finally, we analyze AI applications in the training process and managerial response. This study presents a framework for the application of artificial intelligence (AI) technology to training and managerial challenges. AI tools can be applied to the training process, including knowledge management (KM), needs analysis, training organization, and results feedback. AI-based training transforms organizations into knowledge organizations that can meet the demands of personalized training and improve learning quality. AI tools bring about a shift in the training phases of knowledge base creation, needs surveys, the organization of training, and feedback on results.

Objectives of the Study: This study attempts to empirically investigate the connections of digital society and economy (DESI) on green accounting finance (GAF) by applying diverse econometric methods to a global sample of 24 nations during the 2010 - 2022 stage. Methodology: Four e-commerce measures are used to evaluate digital enterprises: online sales, electronic commerce sales, electronic trade web sales, and electronic commerce turnover. Additionally, two aspects of e-business are evaluated: CRM and cloud services. Various econometric techniques are used to support our conclusions, including modeling with PCSE and FGLS estimation. These methods work well with data with a cross-sectional dependency and may present certain econometric challenges, such as heteroskedasticity, endogeneity, and multicollinearity. Economists and decision-makers can choose a suitable strategic path for sustainable development by promoting digitalization and green accounting finance with the aid of this paper’s results. Result: The estimation results demonstrate that digital transformation into society and economy promotes green accounting finance. We obtain solid results by employing more explanatory variables and utilizing various econometric approaches. The conclusion is that these activities help enhance green finance. Conclusion: Our findings indicate that the promotion of digitization is essential for the successful implementation of green accounting financing initiatives across European countries.

In this ground-breaking analysis of the world's first private banks, Edward Cohen convincingly demonstrates the existence and functioning of a market economy in ancient Athens while revising our understanding of the society itself. Challenging the \"primitivistic\" view, in which bankers are merely pawnbrokers and money-changers, Cohen reveals that fourth-century Athenian bankers pursued sophisticated transactions. These dealings--although technologically far removed from modern procedures--were in financial essence identical with the lending and deposit-taking that separate true \"banks\" from other businesses. He further explores how the Athenian banks facilitated tax and creditor avoidance among the wealthy, and how women and slaves played important roles in these family businesses--thereby gaining legal rights entirely unexpected in a society supposedly dominated by an elite of male citizens. Special emphasis is placed on the reflection of Athenian cognitive patterns in financial practices. Cohen shows how transactions were affected by the complementary opposites embedded in the very structure of Athenian language and thought. In turn, his analysis offers great insight into daily Athenian reality and cultural organization.

In October 1956, the famed U.S. architect Frank Lloyd Wright revealed a radical and ambitious new project. The Illinois would be a mile high, four times the height of the Empire State Building (at that point still the tallest building in the world). Key to this vision was a type of foundation known as the taproot, which offered a means by which to secure such a towering edifice while still enabling architectural creativity-or, as Wright put it, to \"make rigidity possible at [ ] extreme heights.\" A similar design had previously protected another Wright design, the Imperial Hotel in Tokyo, during the Great Kanto Earthquake of 1923, when virtually every other major building in the vicinity was leveled. It was, as Baron Kishichiro Okura declared at the time, \"a monument of [his] genius.\"

Since Darwin, intergroup hostilities have figured prominently in explanations of the evolution of human social behavior. Yet whether ancestral humans were largely \"peaceful\" or \"warlike\" remains controversial. I ask a more precise question: If more cooperative groups were more likely to prevail in conflicts with other groups, was the level of intergroup violence sufficient to influence the evolution of human social behavior? Using a model of the evolutionary impact of between-group competition and a new data set that combines archaeological evidence on causes of death during the Late Pleistocene and early Holocene with ethnographic and historical reports on hunter-gatherer populations, I find that the estimated level of mortality in intergroup conflicts would have had substantial effects, allowing the proliferation of group-beneficial behaviors that were quite costly to the individual altruist.

By 50,000 years ago, it is clear that modern humans were capable of long-distance sea travel as they colonized Australia. However, evidence for advanced maritime skills, and for fishing in particular, is rare before the terminal Pleistocene/early Holocene. Here we report remains of a variety of pelagic and other fish species dating to 42,000 years before the present from Jerimalai shelter in East Timor, as well as the earliest definite evidence for fishhook manufacture in the world. Capturing pelagic fish such as tuna requires high levels of planning and complex maritime technology. The evidence implies that the inhabitants were fishing in the deep sea.

After a century of research, there is still no widely accepted explanation for the spread of farming in Europe. Top-down explanations stress climate change, population increase, or geographic diffusion, but they distort human action reductionistically. Bottom-up explanations stress the local, meaningful choices involved in becoming a farmer, but they do not account for why the Neolithic transition in Europe was so widespread and generally unidirectional. The real problem is theoretical; we need to consider the transformative effects of human–material culture relationships and to relate humans, things, and environments at multiple scales. This article views the Neolithic as a set of new human-material relationships which were experimented with variably but which had unintended consequences resulting in an increasingly coherent, structured, and narrowly based social world. This interplay of local human action and emergent causation made the Neolithic transition difficult to reverse locally; the Neolithic was easy to get into but hard to get out of. On the continental scale, one consequence of this was its slow, patchy, but steady and ultimately almost complete expansion across Europe. As a metamodel, this accommodates current models of the local origin of farming while linking these to emergent large-scale historical patterns.

The paper explores the impact of digital transformation (DT) on new business creation in the case of European Union member states over the period 2015–2020 by employing several econometric techniques such as Ordinary Least Squares (OLS) and quantile regression (QR). The results of OLS regression indicate a positive and significant link between DT and entrepreneurial activity. However, the quantile regression results highlight a parameter heterogeneity in the effect of DT on entrepreneurial activity. Furthermore, the magnitude of the impact is greater at the higher size quantiles of the new business density distribution. Overall, the empirical findings highlight the key role of DT in developing public policies aimed to spur entrepreneurial activity. Thus, this paper brings significant contributions to the extant literature on the macro determinants of firm creation.