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The basic purpose of this research is to study the influence selection factors have on the effectiveness of evolutionary change methods in civil engineering companies in Slovenia.

A combination of qualitative and quantitative approaches to research work was applied. In the process of quantitative data analysis, the statistical methods of bivariant and multivariant analysis were used.

Based on the results of the research, the authors can conclude that the size of a company has no effect on any of the dimensions in selection factors. On the other hand, in seven of the 16 evolutionary change methods applied by the companies, the research results have confirmed the importance of selection factors.

In the interpretation of research findings, it should be taken into account that, at the time the research was conducted, the civil engineering industry was undergoing a period of crisis and was ranked among the least profitable industries within the Slovene economy. For this reason, a generalisation of the research findings is not appropriate.

The research findings will allow executive managements to make a more efficient selection from the many available change methods, and also to apply them with greater efficiency. As a result, efficiency and effectiveness in companies can be expected to increase, which is of crucial importance when it comes to corporate entities operating in late‐transition or post‐transition environments.

The article represents an original contribution to understanding the change method selection factors related to the size of companies, as well as their influence on the selected method of evolutionary change process.

This chapter investigates the social determinants (urbanisation, population, literacy and corruption) of greenhouse gas (GHG) emissions in the top 100 developed and developing emitting countries. The data were collected from central repositories for the different variables explored for the period 2012–2020 in a cross-country analysis. Fixed effects ordinary least squares (OLS) regression was used to analyse the data. The results for all top 100 countries and developing countries show that urbanisation and corruption are significantly positive and negative determinants of GHG emissions, respectively. In addition, literacy is a significant positive determinant of GHG emissions in developing countries but not in the top 100 and developed countries. Population is not significant in the top 100 developed and developing countries. The results for the control variables suggest that primary energy consumption is a positive significant determinant of GHG emissions in the top 100 developed and developing countries. However, gross domestic product (GDP) is not a significant determinant of GHG emissions. The findings have important policy implications.

Serious games (SGs) are virtual systems that allow the reconstruction of the laws governing the behavior of complex adaptive systems such as urban transportation and social interaction. Unlike stated preference-based studies, improved visualization, feedback, and scores mediate players’ learning through experience. SG’s potential to understand users’ preferences regarding shared automated vehicles (SAVs) is developed. The investigation focused on three innovative, entirely automated commuting options: shared rides, shared cars, and automated transit. The research involved 10 participants actively involved in a competitive mode selection exercise, which emulated 50 workdays and was conducted in 10 separate sessions. The players aimed to maximize their overall score influenced by their mode choice, punctuality, and the other players’ choices. SG-obtained data was used to estimate a game-based discrete choice model. The sustainability policy implications of game-based methods on the future adoption of SAVs and impacts on other modes are further discussed.

Understanding how health status and physiological factors affect performance is a daunting task. This chapter will discuss physiological, behavioral, and psychological factors that influence or determine the capacity to fight, and will consider metrics that can be used to measure their status. The premise of this discussion is that there is a set of physiological and psychological factors that intimately affect performance and that the relative contribution of these variables is individually unique. These factors can be identified and assessed, and are amenable to modification. A fuller understanding of these variables can lead the effort to maintain and improve performance in the adverse and challenging environments of military operations.

Despite the widespread attribution that stressful crucible experiences result in important individual developmental change within leaders, a deeper exploration of the mechanisms of that change is warranted. Likewise, literature linking the crucible and individual change to social and organizational considerations, including how organizations can plan for and sponsor institutionalized crucibles, is sparse. Thus, the intent of this chapter is to begin to synthesize the crucible, cognitive development, and stress literatures to show important linkages, risks, and outcomes, then provide a basic blueprint of planning considerations for organizations that desire to establish their own crucible events that target leader development.

To better understand contributing factors and mediating mechanisms related to team dynamics in isolated, confined, and extreme (ICE) environments.

Literature review.

Our primary focus is on cohesion and adaptation – two critical aspects of team performance in ICE environments that have received increased attention in both the literature and funding initiatives. We begin by describing the conditions that define ICE environments and review relevant individual biological, neuropsychiatric, and environmental factors that interact with team dynamics. We then outline a unifying team cohesion framework for long-duration missions and discuss several environmental, operational, organizational, and psychosocial factors that can impact team dynamics. Finally, we end with a discussion of directions for future research and countermeasure development, emphasizing the importance of temporal dynamics, multidisciplinary integration, and novel conceptual frameworks for the inherently mixed work and social setting of long-duration missions in ICE environments.

A better understanding of team dynamics over time can contribute to success in a variety of organizational settings, including space exploration, defense and security, business, education, athletics, and social relationships.

We promote a multidisciplinary approach to team dynamics in ICE environments that incorporates dynamic biological, behavioral, psychological, and organizational factors over time.

This article investigates the impact of foreign trade on carbon emissions of the member countries of the largest trade bloc, the Regional Comprehensive Economic Partnership (RCEP).

The aggregate bilateral trade with members of RCEP during the period 1991–2020 was considered for analysis. The study also examines the impact of foreign trade (between member countries) on economic development, represented by GDP per capita. Dumitrescu–Hurlin panel Granger causality test was conducted to understand the impact of foreign trade on GDP per capita and carbon emissions.

Results indicate that though foreign trade is heterogeneously Granger causing GDP per capita, it also aggravates carbon emissions in RCEP bloc.

The study is of significance to the policymakers in the member countries as it provides evidence to include climate impact in trade agreements. The wealthier RCEP member countries can support the green transition of low-income countries through transfer of eco-friendly technologies.

Outlines and describes the results of research at Cardiff Business School into the sustainability of process improvement involving shop floor personnel. The study identified a number of factors that influence the success or inhibit progress in terms of performance and sustainable improvement. The findings identify what companies perceive to be inhibitors and enablers for sustainability, within 21 companies who have conducted process improvement (PI) activities using a common intervention approach. The paper presents five classificatory profiles and concludes that managers can easily identify specific inhibitors in their own companies, but find it difficult to formulate specific enablers associated with successful and sustainable improvement. The general and cultural nature of the identified enablers indicates that managers perceive progressing PI activities are reliant on a change of culture within their organisations in parallel with “up‐skilling” the technical knowledge of employees for change to be successfully enacted. The lack of specific processes to change culture, identified in the enablers, also indicates that managers do not know what to do to change their cultures or how best to deal with the inherently challenging and demanding nature of process improvement with shop floor operators.

This paper aims to focus on the development of a vision for the Lake Constance region, Germany, as an e-destination, i.e. a destination where tourism mobility would be predominantly electric in the future.

This paper uses a scenario analysis based on factor analysis in addition to empirical data collected in 2016 and 2017 based on surveys and interviews with tourists and stakeholders.

The scenarios contain the optimistic, pessimistic and realistic models, including one scenario called e-destination, i.e. a projection of the future where tourism mobility consists predominantly of electro-mobility (e-mobility). This specific scenario is supported by the results of the empirical data.

As the study focusses on e-mobility only, it leaves out other forms of mobility e.g. pedestrian or cycling mobility that also contribute to CO₂ reduction. The sampling methods are not strictly randomised, but the tendencies they show are clear and supporting each other.

According to the tourists and stakeholders interviewed, it is quite likely that the region will become an e-destination in the future, but only with government support.

The attitude-behaviour-gap was discussed as a possible explanation of tourists’ behaviour in the study.

Studies on e-mobility in tourism are rare. (As far as the author knows) this paper presents the first analysis of the future of e-mobility in tourism using a German lake as a destination. Thus, it adds to the existing body of knowledge different possible projections of the future regarding e-mobility in a tourism destination.

This paper aims to develop a framework for switching a service supplier in a supply network.

The study builds on existing literature in the field of purchasing and supply management, public procurement (PP) and the Industrial Marketing and Purchasing approach, as well as on an illustrative example case, from the PP context, of a supplier switch in a service delivery process.

During a switching process, the buyer must simultaneously manage the ending of a relationship with the incumbent supplier and the beginning of a relationship with a new supplier. Collaboration with the focal suppliers to develop a service process with standardized components prevents disruptions in the service processes and reduces the impact of the switch on the wider network.

The conceptualization suggested in this paper needs to be further explored in different empirical contexts to assess its practical adequacy.

Practitioners responsible for service procurement can use the findings to develop collaboration with suppliers, both when it comes to service process development and to the switching process. Furthermore, the authors highlight the importance of ending competencies and the development of an exit plan to conduct a “beautiful exit.”

The paper integrates relationship initiation and ending studies, as well as procurement process models to develop a refined switching process framework. Many PPs rely on short-term relationships due to the legal obligation to frequently invite suppliers to tender, thus understanding the supplier switching process is important both for private and public sector actors.