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Pina Bausch is considered one of the most influential choreographers in contemporary dance. She created a new dance language based on a groundbreaking form of joint artistic inquiry. As a leader, Pina Bausch transformed her company into a chosen family of diverse personalities whom she supported in the development of their individual artistic expressiveness. She encouraged her dancers to contribute to her signature style with inventiveness and authenticity. Her ability to integrate the dancers’ contributions into her pieces and bring them to the fore onstage makes Pina Bausch a prime example of creative leadership. While leveraging her company’s collective genius and international fame through boundless curiosity and artistic integrity, Pina Bausch balanced paradoxes of leading innovation. The essence of her leadership style points to the importance of curiosity, humanity, and embodiment in leader-follower relationships.

This study aims to explore worldwide innovative solutions that have been proposed to mitigate the effects of COVID-19 pandemic on people’s mental health.

A qualitative methodology is adopted, which performs an exploratory study considering the innovative projects identified by the Observatory for Public Sector Innovation framework. Additionally, the analysis of the relevance and characteristics of these projects are explored considering a multidimensional framework composed of five dimensions: novelty level; social need; improvement of society; sector neutrality; and level of emergence.

The findings reveal that the number of projects in the field of mental health is low, despite their strong relevance to their communities. These projects arise from a strong social need to protect especially the most vulnerable groups in this pandemic and involve a large number of partners in the public sector, business and civil society. The role of volunteering in the revitalization and growth of these initiatives is also recognized.

This study is relevant in both the theoretical and practical dimensions. It allows the exploration of these projects considering the dimensions of social innovation and offers practical implications that allow these projects to be replicated in other countries and regions.

The Sustainable Development Goals (SDGs) provide a blueprint for UN member states to achieve prosperity and peace. A resilient construction industry should positively contribute to the achievement of all SDGs. Yet it is currently unclear if the industry helps or hinders SDG achievement. This research aims to explore if the industry is positively engaging with all SDGs.

This research is split into two phases. The first is an objectivist Qualitative Content Analysis (QCA) of sustainability reports from the ten leading UK contractors to identify direct and indirect SDG references. The second research phase adopts a subjectivist ontological position consisting of twenty-one semi-structured interviews with a range of construction industry project-based professionals. Narrative analysis is used to structure the interview questions and analyse the data gained.

Many SDGs are excluded from sustainability reports, and where discussed, only some are engaged with substantially. The SDG knowledge held by construction professionals is reduced further still, and SDG progress is rarely measured. The ambiguity surrounding the SDGs enables discrepancies between reporting and professional perceptions. There is also a lack of regard for fellow contractor collaboration through fear of reduced competitive advantage.

This paper addresses a gap in the literature between contractor SDG knowledge and action. This serves as a platform for future research agendas regarding how the SDGs can be better understood and actioned in a construction management context. For industry, inconsistencies between organisational sustainability reporting and the knowledge and awareness of staff are exposed, due to the lack of collaborative practices currently adopted.

This study aims to investigate the factors influencing team innovation from the perspective of strategic leaders. The study draws from the leader–member exchange (LMX) theory to propose that the quality of exchange the leaders perceive with the team members may provide a useful cue to identify the key elements and processes that may help drive team innovation.

A qualitative study using a hybrid approach was used, and a thematic analysis was performed. The data were based on 25 interviews collected from strategic leaders using the long interview technique.

The findings revealed themes and factors influencing innovation orientation among leaders and team members. Five themes were identified, namely modeling leadership behavior, autonomy and psychological safety for teams, organizational structure and technology, innovation and the decision-making process and innovation during times of uncertainty.

Because of the purposefully chosen sample of only leaders who were involved in the innovation process, the research results may lack generalizability. Therefore, researchers are encouraged to corroborate the finding using a sample of teams involved in the innovation process.

A conceptual model is proposed with guidance for implementing innovation decisions and strategies in practice.

While the strategic leadership and team innovation literature emphasizes the interaction between leaders and team members, research on how these interactions unfold is still nascent. This paper fulfills these needs from a strategic leader’s perspective.

This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge.

To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses.

The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress.

This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.

This study aims to investigates the influence of proactive personality on employee radical creativity through transformational leadership, professional ethical standards and creative self-efficacy.

The data were collected from 343 superior–subordinate dyads in China. A confirmatory factor analysis was performed to measure the validity of the variables. A regression analysis was performed to assess the relationship between model assumptions.

The results showed that: (1) Proactive personality was positively related to employee radical creativity. (2) Transformational leadership and professional ethical standards moderated the relationship between proactive personality and radical creativity. Specifically, the relationship between proactive personality and employee radical creativity was strong, as expected. It was the strongest in the presence of high transformational leadership and high professional ethical standards. (3) Creative self-efficacy acted as a mediator in this interaction.

This study is a pioneering investigation in the Chinese context. It empirically examines the interactive relationship between proactive personality and radical creativity through transformational leadership and professional ethical standards. Additionally, it substantiates creative self-efficacy as the psychological mechanism behind this interaction. Consequently, this study offers a comprehensive framework with potential implications for personality assessments in the workplace, leadership training, criteria formulation and enhancement of radical creativity.

This research aims to examine how decision-makers’ demographic traits affect the integration of foreign workforce into Tirolean (Austria) companies. With continuous world migrations, Tirol experiences a great inflow of foreign workforce. While integrating into the workforce, the foreign workers interact with various decision-makers whose demographic traits (e.g., age, gender, nationality) potentially influence the success of the integration process. To gather data on the integration levels of a foreign workforce, the author conducted a questionnaire. Furthermore, several statistical analyses were run to determine if the relationship between demographic characteristics and integration success exists. The study reveals that demographic characteristics influence decision-makers’ acceptance of expatriates, as well as their recruitment, integration, and training and development outcomes. The empirical results indicate the strength of relationships identified through analyses. The study is limited to geographical, as well as the scope of the sample size, as the data are obtained from Tirol only. In addition, the results from the study serve as a basis for future discussions and research.

This study aims to test the unemployment hysteresis hypothesis for Nordic countries by considering age and gender differentials at various frequencies.

First, the authors test the linearity of the unemployment series and apply appropriate unit root tests based on the linearity test results. The authors use these tests for both original and wavelet-decomposed unemployment rates.

The authors' findings indicate that the results obtained from the original and decomposed series differ. While the authors find evidence of unemployment hysteresis in the six unemployment rates in the short run, they observe supportive results for hysteresis in the three unemployment rates in the long run.

The authors take into account different age and gender groups. Furthermore, the authors propose a testing strategy for unemployment hysteresis that considers the nonlinearity and structural breaks in unemployment rates. Finally, the authors determine whether the unemployment hysteresis is valid at various frequencies.

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.

The Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.

The study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.

This study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.

Particularly in response to rapidly changing circumstances and environments, conservation involves identifying and retaining an element of heritage, stability, and familiarity in both existing areas and informing the design of new areas. Yet this is a complex and contested process. It involves processes of valuation and selection: so whose heritage is being selected, prioritized, promoted, and retained, and whose is marginalized, redeveloped, and vanishes? And individuals and communities do change over time, so the views and values of those communities are also likely to change. Incomers do not necessarily share the same values as long-term residents. On a wider scale, what is generally accepted as worthy of conservation also changes with, for example, postwar modernism, brutalism, and postmodernism becoming accepted but difficulties with problematic heritage ‒ of war, destruction, slavery and exploitation, for example – being contentious and potentially splitting communities. What one generation values, particularly if it is (relatively) new, can be seen by others as disfiguring, and this is very evident in the contentious heritage identification and conservation of urban art and graffiti. We use a range of examples from the United Kingdom, Europe, and elsewhere to identify and critique the processes and products – the landscapes of heritage manipulation, the decision-making processes, the power of individuals and communities. All these are critical factors in the complex interrelationship between placemaking and conservation, new and old.