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The purpose of this paper is to investigate the potential of altmetric and webometric indicators to aid with funding agencies’ evaluations of their funding schemes.

This paper analyses a range of altmetric and webometric indicators in terms of suitability for funding scheme evaluations, compares them to traditional indicators and reports some statistics derived from a pilot study with Wellcome Trust-associated publications.

Some alternative indicators have advantages to usefully complement scientometric data by reflecting a different type of impact or through being available before citation data.

The empirical part of the results is based on a single case study and does not give statistical evidence for the added value of any of the indicators.

A few selected alternative indicators can be used by funding agencies as part of their funding scheme evaluations if they are processed in ways that enable comparisons between data sets. Their evidence value is only weak, however.

This is the first analysis of altmetrics or webometrics from a funding scheme evaluation perspective.

The authors examine how performance measurement systems (PMSs) and academic agency influence the meaning of research quality in practice. The worries are that the notion of research quality is becoming too simplistically and narrowly determined by research quality's measurable proxies and that academics, especially manager-academics, do not sufficiently realise this risk. Whilst prior literature has covered the effects of performance measurement in the university sector broadly and how PMSs are mobilised locally, there is only little understanding of whether and how PMSs affect the meaning of research quality in practice.

The study is designed as a comparative case study of two university faculties in Finland. The role of conceptual analysis plays a notable role in the study, too.

The authors find that manager-academics of the two examined faculties have rather similar conceptual understandings of research quality. However, there were differences in the degree of slippage between the “espoused-meaning” of research quality and “meaning-in-practice” of research quality. The authors traced these differences to how the local PMS and manager-academics’ agency relate to one another within the context of increasing global and national performance pressures. The authors developed a tentative framework for the various “styles of agency”. This suggests how the relationship between the local PMS and manager-academics’ exerted agency shapes the “degrees of freedom” of the meaning of research quality in practice.

Given that research quality lies at the heart of academic work, the authors' paper indicates that exploring the three matters – performance measurement, the agency of manager-academics and the meaning of research quality in practice – in combination is crucial for the sustainability of the academe. The authors contribute to the literature by detailing the way in which local PMS and manager-academics' agency have material impacts on what research quality means in practice. The authors conclude by highlighting the pressing need for manager-academics to exercise the agency in efforts to safeguard a broad and pluralistic understanding of research quality in practice.

Many early-career researchers (ECR) are motivated by the prospect of creating knowledge that is useful, not just within but also beyond the academic community. Although research facilities, funders and academic journals praise this eagerness for societal impact, the path toward such contributions is by no means straightforward. In this essay, we address five common concerns faced by ECRs when they strive for societal impact. We discuss the opportunity costs associated with impact work, the fuzziness of current impact measurement, the challenge of incremental results, the actionability of research findings, and the risk of saying something wrong in public. We reflect on these concerns in light of our own experience with impact work and conclude by suggesting a “post-heroic” perspective on impact, whereby seemingly mundane activities are linked in a meaningful way.

This paper aims to empirically describe the general characteristics and the investment behavior of high-net-worth individuals (HNWIs) who pursue impact investing.

Data was collected from members of a global impact investor network, using an online questionnaire, a portfolio-data collection tool and semi-structured interviews.

Wealthy private impact investors are largely similar in terms of their general characteristics and investment behavior, but they diverge in their interest in specific Sustainable Development Goals (SDGs). They tend to be strongly values-driven and to adopt an investment time horizon of 7+ years for their impact investments, which they expect to yield financial returns that are no different from those of traditional investments. Interestingly, these investors perceive the well-established sustainable investing strategies of exclusion, environmental, social and governance (ESG) integration and best-in-class as not having high impact-generating potential.

Suggestions are provided about how wealthy private investors could use the findings to improve their impact investment decisions. Advice is offered to investment professionals on how to optimize impact investment products and services for this economically and societally highly relevant target group.

To the best of the authors’ knowledge, this is the first scientific study to investigate the general characteristics and investment behavior of HNWIs who pursue impact investing. HNWIs have great relevance for financial markets yet they are out of reach for most researchers. As a result, they are poorly understood, and apparently also often misunderstood, which has substantial economic and social implications that this paper helps mitigate.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.