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The emergence of networks within education has been driven by a number of factors, including: the complex nature of the issues facing education, which are typically too great for single schools to tackle by themselves; changes to educational governance structures, which involve the hollowing out of the middle tier and the introduction of new approaches with an individualized focus; in addition is the increased emphasis on education systems that are “self-improving and school-led”. Within this context, the realization of teacher and school improvement actively emerges from establishing cultures of enquiry and learning, both within and across schools. Since not every teacher in a school can collaboratively learn with every other teacher in a network, the most efficient formation of networks will comprise small numbers of teachers learning on behalf of others.

Within this context, Professional Learning Networks (PLNs) are defined as any group who engage in collaborative learning with others outside of their everyday community of practice; with the ultimate aim of PLN activity being to improve outcomes for children. Research suggests that the use of PLNs can be effective in supporting school improvement. In addition, PLNs are an effective way to enable schools to collaborate to improve educational provision in disadvantaged areas. Nonetheless harnessing the benefits of PLNs is not without challenge. In response, this paper explores the notion of PLNs in detail; it also sheds light on the key factors and conditions that need to be present if PLNs are to lead to sustained improvements in teaching and learning. In particular, the paper explores the role of school leaders in creating meaningful two-way links between PLNs and their schools, in order to ensure that both teachers and students benefit from the collaborative learning activity that PLNs foster. The paper concludes by suggesting possible future research in this area.

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.

Earned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.

Data was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.

The results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.

Key contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.

The purpose of this paper is to draw attention to the potential of “small data” to complement research in learning analytics (LA) and to share some of the insights learned from this approach.

This study demonstrates an approach inspired by design science research, making a dashboard available to n=1,905 students in 11 study programs (used by n=887) to learn how it is being used and to gather student feedback.

Students react positively to the LA dashboard, but usage and feedback differ depending on study success.

More research is needed to explore the expectations of a high-performing student with regards to LA dashboards.

This publication demonstrates how a small data approach to LA contributes to building a better understanding.

To better understand the impact of choosing a carbon data provider for the estimated portfolio emissions across four asset classes. This is important, as prior literature has suggested that Environmental, Social and Governance scores across providers have low correlation.

The authors compare carbon data from four data providers for developed and emerging equity markets and investment grade and high-yield corporate bond markets.

Data on scope 1 and scope 2 is similar across the four data providers, but for scope 3 differences can be substantial. Carbon emissions data has become more consistent across providers over time.

The authors examine the impact of different carbon data providers at the asset class level. Portfolios that invest only in a subset of the asset class may be affected differently. Because “true” carbon emissions are not known, the authors cannot investigate which provider has the most accurate carbon data.

The impact of choosing a carbon data provider is limited for scope 1 and scope 2 data for equity markets. Differences are larger for corporate bonds and scope 3 emissions.

The authors compare carbon accounting metrics on scopes 1, 2 and 3 of corporate greenhouse gas emissions carbon data from multiple providers for developed and emerging equity and investment grade and high yield investment portfolios. Moreover, the authors show the impact of filling missing data points, which is especially relevant for corporate bond markets, where data coverage tends to be lower.

Genetic risk for depressive disorders is poorly understood despite consistent suggestions of a high heritable component. Most genetic studies have focused on risk associated with single variants, a strategy which has so far only yielded small (often non-replicable) risks for depressive disorders. In this paper we argue that more substantial risks are likely to emerge from genetic variants acting in synergy within and across larger neurobiological systems (polygenic risk factors). We show how knowledge of major integrated neurobiological systems provides a robust basis for defining and testing theoretically defensible polygenic risk factors. We do this by describing the architecture of the overall stress response. Maladaptation via impaired stress responsiveness is central to the aetiology of depression and anxiety and provides a framework for a systems biology approach to candidate gene selection. We propose principles for identifying genes and gene networks within the neurosystems involved in the stress response and for defining polygenic risk factors based on the neurobiology of stress-related behaviour. We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.

Access to financing has long been identified as a stumbling block for the economic endeavors of immigrant entrepreneurs (IEs) in host countries. Yet, little is known about the internal enablers for the IEs success to overcome their financing barriers in host countries. Accordingly, the purpose of this paper is to introduce the theoretical concept of the financial ambidexterity of IEs as a potential behavioral ability some IEs develop over time to access financing in both host and coethnic contexts.

The paper uses sociopsychological lenses to introduce and discuss the term “financial ambidexterity of IEs” by synthesizing empirical evidence drawn from the different literature on immigrant entrepreneurship, biculturalism, financial literacy and cultural intelligence. This discussion is carefully embedded within the framework of the immigrant entrepreneurship literature.

The study proposes and discusses the role of bicultural identity integration, cultural intelligence and financial literacy in enabling the “financial ambidexterity of IEs.” It further defines the “financial ambidexterity of IEs” as their ability to explore and exploit financing opportunities, either simultaneously across the contexts within which they are embedded, e.g. coethnic and mainstream, or alternately in one context when barriers occur in the other.

The paper mainly contributes to the literature on immigrant entrepreneurship by suggesting an explanation for how IEs overcome financing barriers in their host countries, and why some IEs are more successful in that than other peers. Moreover, the paper attempts to advance the understanding of immigrants' entrepreneurial endeavors using a sociopsychological lens that considers cultural, cognitive and knowledge-related factors.

Pragmatism is very relevant to workplace management and performance measurement, yet in the accounting literature, it is a term used loosely and in a colloquial manner. By drawing on a framework based on classical pragmatism, this study aims to examine how a pragmatic perspective is discernible in the form and use of management control (MC) practices.

This study collects data using a case study of a firm in the green energy construction sector.

Building on the analytical framework, this study provides evidence that a pragmatic perspective is discernible in both form and use of MC practices, through a clear focus on targets rather than variance analysis, the presence of mutable local MC practices characterised by interaction and problem-solving and the absence of other common MC practices with no clear links to ends-in-view. This study also provides evidence of the potential limitations of a pragmatic perspective including myopia and an exacerbation of the inherent bias in organisations towards exploitation.

This research brings analytical clarity to the study of pragmatism in the accounting literature and insights into how a pragmatic perspective is discernible in the form and use of MC practices. Further, the study shows the potential limitations of a pragmatic perspective for management.

While the literature has described social entrepreneurs as overwhelmingly occupying a pivotal role in social entrepreneurship (S-ENT) process, there is a high inconsistency prevailing with respect to entrepreneurial traits, attitudes and skills of social entrepreneurs. One explanation for this may be the lack of a suitable scale measuring entrepreneurship orientation of social entrepreneurial individuals. The purpose of this study is to address this gap by proposing an initial assessment tool for individual S-ENT orientation (ISEO).

A mixed methods research design, along with a two-stage Delphi process, helped in generating appropriate constructs for ISEO. While the items for the first dimension of scale were directly derived from the Delphi study, the items of the remaining dimensions were mainly found based on the three individual entrepreneurial orientation dimensions presented by Bolton and Lane. By means of exploratory factor analysis, the final examination of the ISEO items was undertaken through a survey of 71 social entrepreneurs across India. The process eventually resulted in reliable and valid measures for four dimensions of ISEO.

The scale-development process eventually resulted in a 13-item scale, measuring four dimensions of ISEO (social passion, innovativeness, risk-taking and pro-activeness). By developing a set of relevant ISEO indicators, the study answers the call for a scale development of ISEO in S-ENT literature.

There is a need to further validate this instrument among other stakeholders (students) as well as in samples with different demographic characteristics across different regions of the country and the world. To further evaluate the reliability and validity properties and to confirm the newly established subscales and their relationship with the ISEO construct, there is need for conducting a confirmatory factor analysis using larger sample sizes.

The measurement of SEO at an individual level will assist in S-ENT education, training and development of present and prospective social entrepreneurs, as well as assist individuals who want to assess the strength of their orientation towards S-ENT. The understanding of ISEO at the individual level will be equally useful for S-ENT incubators, the government and other S-ENT stakeholders who are considering supporting S-ENT proposals.

The paper is the first to develop an ISEO scale which is based on empirical data in S-ENT field.

In the literature there is limited knowledge about how to prepare students for a corporate entrepreneurial career. The purpose is therefore to develop a framework for understanding the role corporate development projects play in corporate entrepreneurship education, and to examine the potential role of the design of the project. The study defines a corporate development project as a project being part of an academic education to provide students with working experiences situated in an experiential learning process.

Based on work-integrated learning literature, the authors first develop a conceptual framework. Thereafter, they undertake a multiple case study using data from a Master's Program in Corporate Entrepreneurship. Starting from the conceptual framework, the authors employ deductive thematic analysis in order to analyze data and finally to develop an elaborated framework.

In the framework, the authors identify and label five categories of learning outcomes from the corporate development project. The framework helps understand the interplay between the different learning outcomes in students' learning process and shows how the design of the project shapes the learning process.

The framework can assist educators in designing and integrating the corporate development project as a key module within a corporate entrepreneurship academic program.

Based on the framework, the study develops the knowledge about the design of corporate entrepreneurship education. Future research should test the framework using data from other academic programs in corporate entrepreneurship.