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Fostering Recovery Through Metaverse Business Modelling
Through the lens of multi- and interdisciplinarity, this book highlights the potential of progress in cloud computing technologies, metaverse development, and digital transformation in charting a path to economic and social recovery, governance process and societal evolution enabling to tackle the global polycrises triggered by the Covid-19 pandemic in 2020. The book is an outcome of the 5th International Conference on Economics and Social Sciences, ICESS 2022, Bucharest, Romania.
Reshaping Performance Management for Sustainable Development
Reshaping Performance Management for Sustainable Development explores how performance management plays a central role in improving the policy cycle and contributing to public organizations' management and accountability.
Current Trends in Entrepreneurship: Entrepreneurial Orientation, Intention, and Alertness
Business consulting, knowledge absorptive capacity, and innovativeness: A triangular model for micro and small enterprises in Poland Abstract PURPOSE: This paper proposes a triangular relationship between business consulting, knowledge absorptive capacity, and innovativeness. The role of knowledge absorptive capacity in stimulating the impact of business consulting on innovativeness is studied. METHODOLOGY: An empirical study is conducted using the CATI method, and it is based on data concerning 382 Polish micro and small enterprises. Qualitative variables reflecting using business consulting, knowledge absorptive capacity and innovativeness are defined. The multivariate discrete choice mode...
Two Faces of Digital Transformation
Focusing on so-far unresolved questions about this new horizon of modernity, Two Faces of Digital Transformation provides insights into technological advancements with business administrative applications and examines forthcoming implementation strategies from a range of perspectives.
Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.
Digital Analytics Applications for Sustainable Training and Education
Digital analytics is an emerging new trend used in education to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. Taking into consideration the UN's Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," this new book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. It demonstrates how artificial intelligence, deep learning, cloud computing, big data, and machine learning can be used to assess, evaluate, record, and predict student progress, participation, performance, personalization, and empowerment in academic and curricular activities.
Achieving the Circular Economy
Urbanisation and climate change are pushing cities to find novel pathways leading to a sustainable future. The urban context may be viewed as a new experimentation space to accelerate the transition to a circular economy. Urban symbiosis and the circular economy are emerging concepts attracting more and more attention within the urban context. Moreover, new business models are emerging around sharing and peer-to-peer practices, which are challenging existing roles of actors in society. These developments are having an important impact on the flows of resources and the use of the city infrastructure, and each research area has taken a different perspective in the analysis of such impacts. This Special Issue aims to explore what a “circular city” could constitute and how and why cities engage in circularity. This Special Issue includes seven high-quality papers on the theories and practices of circular cities. Actors, concepts, methods, tools, the barriers to and enablers of circular cities are discussed and a solid base and inspiration for the future development of circular cities are provided.
Energy Transition
This book opens up a critical dimension of energy transition taking in account multidimensional challenges on economic, social and environmental fields. The book discusses the trends in the field of energy transition and evolving practices adopted by public authorities and companies for betterment of environment and society. The editors (4) identify directions and challenges involved in the energy transition. The novelty of this book is the multidisciplinary approach, being presented the economic, social and environmental challenges involved in the energy transition. The energy transition is accompanied by a complex process of changing attitudes and behaviors of energy consumers and producer...
Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021-2022
Abstract: Unemployment has risen as the economy has shrunk. The coronavirus crisis has affected many sectors in Romania, some companies diminishing or even ceasing their activity. Making forecasts of the unemployment rate has a fundamental impact and importance on future social policy strategies. The aim of the paper is to comparatively analyze the forecast performances of different univariate time series methods with the purpose of providing future predictions of unemployment rate. In order to do that, several forecasting models (seasonal model autoregressive integrated moving average (SARIMA), self-exciting threshold autoregressive (SETAR), Holt-Winters, ETS (error, trend, seasonal), and NNAR (neural network autoregression)) have been applied, and their forecast performances have been evaluated on both the in-sample data covering the period January 2000 - December 2017 used for the model identification and estimation and the out-of-sample data covering the last three years, 2018-2020. The
Digitalization, Sustainable Development, and Industry 5.0
Digitalization, Sustainable Development, and Industry 5.0 offers cutting-edge multidisciplinary research, with expert insights on the technologies and strategies businesses use in the twin transition process.
