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Digitalisation, big data and data analytics are hot topics for today's economic sectors. Given these trends, developing information technology capabilities of those who wish to join the public sector workforce has been emphasised in public administration teaching curricula. In this chapter, focusing on the public sector, we ask: What kind of data is published by governments and how can these data be used in teaching data analytics?

Against the backdrop of the growing importance of data analytics in public sector management curricula, this chapter uses the IMPACT cycle model to demonstrate how datasets from open government data portals can be used for teaching.

Several examples are shown to illustrate the different steps of the IMPACT cycle model. Concluding remarks include a reflection where potential caveats, dysfunctions and limits of data analytics are outlined.

The chapter explicitly focuses on ‘real world’ open government data published on open data portals. A holistic approach to data analytics ‘from start to finish’ is shown, including preparing datasets for the analysis and presenting results to line managers, whereas some of the previous work solely shows parts (e.g. testing the data).

The turbulent phase of COVID-19 has caused uncertainty as governments fail to develop coherent strategies for cutting emissions and are struggling to match the rhetoric of sustainable activities with actions (Barbier & Burgess, 2020; Cawthorn, Kennaugh, & Ferreira, 2021). In the recent past, firms have failed in their plans to decarbonise their key sectors such as the retail sector in the United Kingdom So far, retailers' commitment to achieving net zero emissions has been an important pledge but delivery is nowhere closer to their promises (Henriques, 2020). The firms' climate targets are not going to be met by magic as serious action is needed to fulfil the promises.

Fossil fuels have led to a drastic increase in carbon emissions in the world over the last decade. Firms championing cleaner energy and low carbon technologies are needed to cut emissions. Renewable energy sources such as wind energy can help reducing the dependency of fossil fuels (Boretti, 2020; Ebhota & Jen, 2020). Wind is an indirect form of solar energy which can provide environment-friendly option in uncertain times and can provide long-term sustainability of global economy. Solar energy technologies have the potential to decrease climate change through energy-related emissions (Li, Dai, & Cui, 2020). Increasing energy demand has initiated a focus on using hydrogen from water as a substitute for oil and fossil fuels (Boretti, 2020).

The first part of the chapter discusses theoretical perspectives of sustainable development and environmental performance with regards to three main issues: energy, water and carbon emissions, whereas the later part highlights the importance of solar technology as a low-polluted alternative to fossil fuels in the retail sector. Sustainable development of energy, water and environmental precautions such as reducing carbon emissions are of interest to wider branches of industries including retail, energy and water sector, governmental policymakers, researchers, educators and society. The purpose of this chapter is to increase the debate of the key issues of sustainable development regarding environment, energy and water in the modern times.

Despite widespread interest in “behavioral strategy,” it is not clear what this term, or its associated academic subfield, is all about. Unless a critical mass of scholars can agree on the meaning of behavioral strategy, and professionally identify with it, this embryonic community may face a marginal existence. We describe three alternative conceptions for the academic subfield of behavioral strategy, along with assessments of the pros and cons of each. The “small tent” version amounts to a direct transposition of the logic of behavioral economics to the field of strategic management, specifically in the style of behavioral decision research. The “midsize tent” view is that behavioral strategy is a commitment to understanding the psychology of strategists. And the “large tent’ view includes consideration of any and all psychological, sociological, and political factors that influence strategic outcomes. We conclude that the midsize tent represents the best path forward, not too narrow and not too broad, allowing rich scope but with coherence. The large tent conception of behavioral strategy, however, is not out of the question and warrants serious consideration.

This chapter is building conceptual background of psychological risk for international tourists. Drawing on Place Attachment Theory, Moral Disengagement Theory, Followership Theory, Job Demands-Resources, Acculturation Theory and Goal Progress Theory of Rumination, this chapter proposes a framework of psychological risks with six psychological risks that tourists could encounter in foreign destination: destination detachment risk, moral disengagement risk, risk of false risk assessment, burnout risk, risk of loneliness and risk of rumination. High destination detachment could lead tourists to behave less environmentally friendly, while high moral disengagement could lead tourists to behave less ethically friendly. Followership to the influencers in social media could lead tourists to engage in risk-taking behaviours and false risk assessment, leading to burnout risk, risk of loneliness and risk of rumination, where negative autobiographical memory is created and forming memory-related distress when they arrive homes. Place detachment and moral disengagement risk local environmental and social health, while burnout, loneliness and rumination pose risks for the tourists' psychological health. Several studies propose suggestions for the destination manager and tourists to manage the risk effectively and adequately, including place attachment and moral engagement campaign, careful travel planning and social support.

Literature shows that environmental change would profoundly influence residents' emotional ties with their community. This study attempts to further the examination by probing into the relationship between perceived ecological change and place attachment at a small-island destination where tourism has become a heavyweight business and transformed the living quality of locals. The survey questionnaires are distributed to the residents of the study site Kinmen archipelago in Taiwan. The resultant data illustrate that age, occupation, the town of residence, house ownership, and the length of residence moderate the resident's place attachment. Besides, from a result of regression analysis, the perception of rapid community development reveals a positive relationship with the level of place attachment. This study suggests timely strategies enticing younger residents' place attachment along with other managerial actions, helping invigorate the community living.

The purpose of this chapter is to develop practical recommendations for monitoring and controlling the implementation of the optimization model of digital economy in modern Russia.

The authors use the methods of induction, deduction, synthesis, systemic and problem analysis, and formalization.

The authors develop and present recommendations for the establishment of planned values of the indicators that characterize digital economy in Russia until 2025, according to the treatment of factual values of these indicators, and for the correction of measures for regulating the process of digital economy’s formation depending on the values of these indicators. The practical recommendations offered for monitoring and controlling the implementation of the optimization model of digital economy allow creating a comprehensive and detailed national strategy and implementing it in the economic practice of modern Russia. The algorithm presented for this monitoring reflects a general logic involved in this process and opens possibilities for the manifestation of its flexibility and adaptation to each specific situation.

The developed algorithm of monitoring and control regarding the implementation of the optimization model of digital economy in modern Russia and the offered planned values of the indicators that characterize digital economy in Russia until 2025 are recommended for usage during development and implementation of the national strategy for digital economy’s formation in the Russian economic system.

The conditions that are constantly changing and transforming by digital technologies in today's world have forced businesses to think strategically and to comply with the rules and processes of strategic management. Technologies, such as the internet of things, cloud computing, artificial intelligence, and big data, especially in the Industry 4.0 ecosystem, cause some conflicts or constructive and destructive effects on the management approaches and management strategies of businesses. Businesses need to understand these technologies and their effects to maintain their existence and manage their resources and capabilities effectively and strategically. In this chapter, it is aimed to examine the conflicts with destructive and constructive effects of digital technologies on the strategic management of enterprises. For this purpose, the literature was searched qualitatively, and a conceptual study was carried out. At the beginning of the chapter, strategic management literature was researched, and strategic management approaches and views were examined. In the next part, digital technologies in the Industry 4.0 ecosystem are explained. In the last part, digital technologies and their impacts in terms of strategic management approaches (position approach, resource-based approach, and complementing views of resources-based approach) have been examined.