Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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This study analyses the impact of destination competitiveness (DC) factors upon the competitive identity of Brazil as a Dutch holiday destination. The identification of a relevant set of DC factors represents an important pre-condition for assessing a specific destination's competitiveness with regard to its competitor set. The findings suggest that Brazil's performance on a range of DC factors is uneven, and significant performance gaps exist between Brazil and its closest competitors. As well as contributing to the currently scarce academic literature on Brazil's competitive identity, this article also indicates a number of directions for related future research.
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In the past few years, the EU has shown a growing commitment to address the rapid transformations brought about by the latest Artificial Intelligence (AI) developments by increasing efforts in AI regulation. Nevertheless, despite the growing body of technical knowledge and progress, the governance of AI-intensive technologies remains dynamic and challenging. A mounting chorus of experts expresses reservations about an overemphasis on regulation in Europe. Among their core arguments is the concern that such an approach might hinder innovation within the AI arena. This concern resonates particularly strongly compared to the United States and Asia, where AI-driven innovation appears to be surging ahead, potentially leaving Europe behind. This paper emphasizes the need to balance certification and governance in AI to foster ethical innovation and enhance the reliability and competitiveness of European technology. It explores recent AI regulations and upcoming European laws, underscoring Europe’s role in the global AI landscape. The authors analyze European governance approaches and their impact on SMEs and startups, offering a comparative view of global regulatory efforts. The paper highlights significant global AI developments from the past year, focusing on Europe’s contributions. We address the complexities of creating a comprehensive, human-centred AI master’s programme for higher education. Finally, we discuss how Europe can seize opportunities to promote ethical and reliable AI progress through education, fostering a balanced approach to regulation and enhancing young professionals’ understanding of ethical and legal aspects.
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The Netherlands is the largest export country of cutflowers in the world. Air cargo transport of flowersamounts to 25 percent of the total annual tonnage ofgoods that go through Schiphol Airport. However, due touncertainty of the future development in internationaltrade, as well as the increasing competition from otherhub airports in Europe and new developments in themaritime transport sector, forecasts point to a less rosypicture for the Schiphol airport and Netherlands.To maintain and improve the international competitiveposition of Schiphol airport as a 'preferred hub' forflowers, it is important to keep up with developments inthe international markets, changes in the internationalvalue chain of flowers and to strengthen the competitiveposition of Schiphol in relation to competing airports(Brussels, Liège, Frankfurt and Paris).In this paper, we develop a conceptual framework thatassesses the competitiveness of Schiphol airportcompared to its European competitors, based on a model that takes into consideration transport and logistics costs, as well as other variables like quality of services and local and business environment. The results show that Schiphol can maintain it competitive advantage due to competitive indicators as trade costs, hub position in international air-networks, quality of handling goods, and the existence of high-quality airport infrastructure and a unique business environment, which attract international business.However, the results of the flower trade analysis showthat Liège airport has become a direct competitor ofSchiphol, as this airport scores better than Schiphol fortrade in flowers above 1,000 kg. Liège airport scoresequally to Schiphol in terms of monetary, transport costsand quality of services.
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The value of CUlTent organizations and industries is increasingly located in intangibles (human capital, structural capital and relational capital) and basically,knowledgehasbecomea factor of production and a main asset. This Intellectual Capital does not appear on balance sheets,but ultimately does have an enormous impact and is basic to match the requirements of knowledgeintensiveeconomiesin Asia and Europe.
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From the pubisher's website: This paper aims to chart the (moral) values from a robotic industry's perspective regarding the introduction of robots in education. To our knowledge, no studies thus far have addressed this perspective in considering the moral values within this robotic domain. However, their values could conflict with the values upheld by other relevant stakeholders, such as the values of teachers, parents or children. Hence, it is crucial to take the various perspectives of relevant stakeholder's moral values into account. For this study, multiple focus group sessions (n=3) were conducted in The Netherlands with representatives (n=13) of robotic companies on their views of robots in primary education. Their perceptions in terms of opportunities and concerns, were then linked to business values reported in the extant literature. Results show that out of 26 business values, mainly six business values appeared relevant for robot tutors: 1) profitability, 2) productivity, 3 & 4) innovation and creativity, 5) competitiveness, and 6) risk orientation organization. https://doi.org/10.1109/DEVLRN.2019.8850726
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This study proposes a systematic value chain approach to helping businesses identify and eliminate inefficiencies. The authors have developed a robust framework, which food-sector entrepreneurs can use to increase profitability of an existing business or to create new profitable opportunities. The value chain approach provides win-win opportunities for players within the value chain. To test the robustness of the framework, the authors use food waste as an example of a critical inefficiency and apply it to two different food sector business cases, each operating in diverse conditions. Because the suggested framework addresses the core elements and parameters for the existence and competitiveness of a business, the model can be adapted to other sectors.
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The sources of productivity have always been the main subject of economic debate because they are the main determinants of profitability and competitiveness. In order to improve productivity we should be able to identify the sources of productivity. This article presents a method for measuring the sources of knowledge productivity in order to give direction to knowledge management initiatives. The method is based on a theoretical framework which combines two different perspectives (economic and process) on knowledge productivity. This article presents the methodological and theoretical framework, the initial design of the method and the results of the first two case studies. The relevance of this article is that it combines the concepts of knowledge management and intellectual capital measurement in the relatively new concept of knowledge productivity.
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