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Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital technology has been proven effective in e-mental health for preventing and treating mental health problems. However, there is a need for cross-disciplinary efforts to increase the impact of e-mental health services. This paper aims to report key challenges and possible solutions for cross-disciplinary and cross-sectorial research teams within the domain of e-mental health.

The key challenges and possible solutions will be discussed in light of the literature on effective cross-disciplinary research teams.

Six topics have been key challenges in our cross-disciplinary and cross-sectorial research team: to develop a shared understanding of the domain; to establish a common understanding of key concepts among the project participants; to involve the end-users in the research and development process; to collaborate across sectors; to ensure privacy and security of health data; and to obtain the right timing of activities according to project dependencies.

This study focuses to increase knowledge and training in cross-disciplinary and cross-sectorial research, as this is often referred to as an important tool when developing sustainable solutions for major societal challenges.

This study needs to include theory and skills training in cross-disciplinary research in research training.

Cross-disciplinary teams have the potential to address major societal challenges, including more perspectives and more stakeholders than single disciplinary research teams.

Major societal challenges require complex and sustainable solutions. However, there is a lack of knowledge about how cross-disciplinary and cross-sectorial research teams may work productively to solve these challenges. This paper shares experiences regarding the challenges and possible solutions for productive collaboration in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health services.

The purpose of this paper is to refer to ecological economics using two meanings of the term “ecological”. In the strict scientific sense, ecological economics refers to an economic system that is consistent with and honors the basic principles of ecology, which, ultimately, are identical with what the authors call the systemic principles of life. In a broader sense ecological economics refers to economic theory and practice that see the economy as operating within, rather than dominating, the spheres of nature, society, and culture.

The authors distill four fundamental principles for ecological economics based on systems theory of life and philosophy of organism. The four principles are; nested systems, self-generating networks, open systems, and cognitive interactions. The authors discuss how these principles can be applied to design an ecological economic system that is life-enhancing on individual, social and ecological levels.

The authors argue that ecological economics should give priority to activities that maximize well-being of human and non-human beings, as well as entire ecosystems, and that its central purpose should be to serve the life processes in social and ecological systems.

In this paper, the authors connect ecological economics to systems theory and come up with principles relevant for developing economic theory and practice within, rather than dominating, the spheres of nature, society, and culture.

The purpose of this paper is to describe and discuss how and to what extent creative dialogue processes can have an impact on regional political planning processes in Norway. Politicians at Nordland County invited representatives from six different regions in Nordland to participate in café dialogues.

The empirical material is collected from café-dialogues in Northern Norway in which representatives from civil society, business organizations, local government, and NGOs participated. The data processing is based on triangulation of hermeneutic interpretation, frequencies, and factor analysis.

The findings indicate that most people want a “greener” future; this can be described as sustainable societies based on ecological production, distribution, consumption, and redistribution. People take on a more radical position in their ideas about the future than most politicians. The factor analysis grouped the participants into the following categories; “Ecological economics”, “Small is beautiful”, “Entrepreneurs”, and “Growth and control”. A large number of the participants are categorized either as “Circulation economics” or “Small is beautiful”.

To solve the challenges of modern society politicians can instigate more radical solutions than they are in the habit of doing. The participants in the café dialogues describe fundamental changes in order to attain viable local societies per 2030.

In this paper the authors demonstrate that cultural creatives in the USA give a relevant context for interpreting attitudes to change in small societies in Northern Norway.

The purpose of this paper is to investigate the relationship between a company’s environmental, social and governance (ESG) performance and its financial performance. This paper also investigates the relationship between ESG performance and a company’s market valuation. This paper provides convincing empirical evidence that delivering superior ESG performance pays off financially.

The financial data and ESG scores of 150 publicly traded companies listed in the Standard and Poor’s 500 index for 2017–2020, comprising 5,750 observations, were collected. STATA was used to run a fixed-effect regression and a weighted least squares model to analyze the panel data.

The results of the empirical analysis suggest that companies with superior ESG performance perform better financially and are valued higher in the market compared to their industry peers. The ESG rating score impacts both return-on-capital-employed as a proxy for financial performance and Tobin’s Q as a proxy for the market valuation of a company.

This study contributes to the existing research on ESG performance and financial performance relationship by providing empirical evidence to resolve confusion in the existing literature caused by contradictory evidence. Taking advantage of worldwide crisis caused by the COVID-19 pandemic, this study shows that a positive relationship between ESG performance and a company’s market valuation holds even during times of unexpected crises. Further, this study contributes to business practitioners’ knowledge by showing that ESG aspects constitute highly relevant non-financial information that impact the market’s perception of a company and that investing in sustainability positively impacts a company’s bottom line.

The purpose of this paper is to contribute to the scholarship on public management models and to advance the theoretical conceptualization of the complexity of performance management systems (PMSs). The paper explores how the characteristics of PMSs vary within and across different organizational units in common institutional context, based on the case of a regional authority in Italy.

A framework of analysis considering both objective and subjective factors was derived from a combination of performance typologies in the public sector, namely ideal types of managing performance (Bouckaert and Halligan, 2007) and performance regimes (Jakobsen et al., 2017). The combination of the characteristics of these two models across different Directorates General (DGs) has also been explored through a nested case study (Starman, 2013). Data were gathered via a desk analysis of official documents regarding the planning and programming of a regional authority along with in-depth interviews with top-level managers.

The results highlighted a clear differentiation of PMSs, both within and across DGs. The findings of the study reveal the hybrid nature of PMSs within a common institutional context.

Drawing on the theoretical frameworks of Bouckaert and Halligan (2007) and Jakobsen et al. (2017), the paper provides an integrated approach for analysing PMSs, considering both objective and subjective dimensions. Insights and indications for future research on hybridity at a meso level of public organizations are highlighted.

This study examines what is the significance of the features of inter-organizational relationships in consecutive phases of the relationship life cycle.

Qu antitative, large-scale surveying was run on 786 software developers operating in Poland. The research hypothesis regarding the systematic increase of relational features (i.e. commitment, communication, (lack of) conflict, cooperation, intensity, investments, longevity, multidimensionality of bonds, trust, and velocity) across the particular relationship life cycle phase le (i.e. initial, development, maintenance, dormant/end, and reactivation) was verified using ANOVA and post-hoc tests.

The results show that the majority of considered features of inter-organizational relationships non-significantly but progressively strengthen from the initial phase, through the development phase, to the maintenance phase, then significantly weaken in the dormant/end phase and strengthen again in the reactivation phase. Interestingly, velocity–as the only examined feature–significantly increases in dormant/end and then decreases if the relationship is reactivated.

Prior studies were focusing on single feature, this one offers a holistic view considering ten relational facets. Moreover, this is one of the few research studies exploring the changes of relational features adopting the life cycle perspective.

The paper aims to investigate the relationship between firms’ motivation for corporate social responsibility (CSR) and the moderating role of internationalisation.

The authors developed and tested a conceptual model based on a survey of 65 respondents from the Møre and Romsdal (M&R) maritime cluster. The M&R maritime cluster despite being national has strong interconnections to the global maritime industry and as such, presents a suitable context for testing our research model.

The findings show that firms’ intrinsic motivation drives CSR more than extrinsic motivation. Intrinsic motivation is understood as a firm engaging in CSR because it is the right thing to do and done out of one’s free will without compulsion or coercion. Extrinsic motivation relates to an action that is performed to achieve a separate outcome. Intrinsic and extrinsic motivations are found to be related and not mutually exclusive. The impact of intrinsic motivation on CSR was found to be contingent on the extent of the internationalisation of small and medium-sized enterprises (SMEs).

The key contribution of the study is the modelling of firms’ motivation for CSR activities and the contingent effect of internationalisation. In as much as companies perceive CSR activities as the right thing to do, the motive to do so also depends on the business case/profit motive. The study shows that SMEs’ intrinsic motivation is the driving force in CSR implementation and suggests that the urge by firms to give back to society is strengthened under conditions of high economic incentives and the firms’ degree of internationalisation.

This article revisits some theories and concepts of public administration, including those related to public value, transaction costs and social equity, to analyze the advantages and disadvantages of using artificial intelligence (AI) algorithms in public service delivery. The author seeks to mobilize theory to guide AI-era public management practitioners and researchers.

The author uses an existing task classification model to mobilize and juxtapose public management theories against artificial intelligence potential impacts in public service delivery. Theories of social equity and transaction costs as well as some concepts such as red tape, efficiency and economy are used to argue that the discipline of public administration provides a foundation to ensure algorithms are used in a way that improves service delivery.

After presenting literature on the challenges and promises of using AI in public service, the study shows that while the adoption of algorithms in public service has benefits, some serious challenges still exist when looked at under the lenses of theory. Additionally, the author mobilizes the public administration concepts of agenda setting and coproduction and finds that designing AI-enabled public services should be centered on citizens who are not mere customers. As an implication for public management practice, this study shows that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

As a fast-growing subject, artificial intelligence research in public management is yet to empirically test some of the theories that the study presented.

The paper vulgarizes some theories of public administration which practitioners can consider in the design and implementation of AI-enabled public services. Additionally, the study shows practitioners that bringing citizens to the forefront of designing and implementing AI-delivered services is key to reducing the reproduction of social biases.

The paper informs a broad audience who might not be familiar with public administration theories and how those theories can be taken into consideration when adopting AI systems in service delivery.

This research is original, as, to the best of the author’s knowledge, no prior work has combined these concepts in analyzing AI in the public sector.