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The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.

The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.

First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.

The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.

The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.

Pregnant employees experience considerable interpersonal discrimination. This study explores the range of possible reactions of observers to pregnancy self-disclosure, interpersonal discrimination and various allyship interventions, and the attentional processes that lead to those reactions. Consequently, it uncovers socio-cognitive processes underlying support for and backlash toward pregnancy in the workplace.

This study used a thought-listing technique to explore observers’ spontaneous thoughts related to pregnancy. Working adults were randomly assigned to read through one of the six scenarios depicting pregnancy self-disclosure, interpersonal discrimination and male allyship interventions (i.e. stating the organization’s anti-discrimination policy, confronting the transgressor by calling out sexism, pivoting the conversation to highlight the strengths of the pregnant employee and a hybrid intervention combining highlighting strengths and confrontation) after which participants listed the top three thoughts that came to their mind (1,668 responses). Responses were thematically analyzed to explore spontaneous reactions toward the pregnant employee, transgressor and ally in the scenario.

Surprisingly, across all scenarios, the most sexist thoughts emerged during pregnancy self-disclosure, even in the absence of any transgression. After a transgression occurred, any allyship intervention was better than none in eliciting lesser sexist backlash against the pregnant employee. Stating the organization’s anti-discrimination policy was most beneficial for the pregnant employee in eliciting the least sexist backlash but at the cost of generating unfavorable impressions of the ally. Calling out the transgressor’s bias elicited the most sexist backlash toward the pregnant employee, yet it created favorable impressions of the ally. In contrast, highlighting the strengths of the pregnant employee created the most favorable impression of the ally while eliciting a few sexist thoughts about the pregnant employee. Overall, the hybrid intervention was the most effective at balancing the competing goals of generating support for the pregnant employee, creating favorable impressions of the ally, as well as holding the transgressor accountable.

This study demonstrates that the type of allyship intervention critically redirects the attentional focus of observers to certain aspects of a discrimination episode and relevant schemas which can generate support or backlash toward targets, transgressors and allies, thereby advancing or obstructing equity and inclusion in organizations.

Recent studies have suggested that the workplace fear of missing out (Workplace FoMO) harms employees' health and performance. Thus, the present study examines the impact of workplace FoMO and organisational support (OSP) on innovative work performance (IP) using dual theoretical lenses based on the conservation of resource theory (COR) and self-determination theory (SDT). Furthermore, this study investigates the mediating role of enterprise social media (ESM) use and psychological well-being (PW).

The present study uses a rigorous methodology using structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The author has conducted a cross-sectional survey to collect data on working professionals in India’s service industries (i.e. IT & ITeS; information technology enables services). Moreover, SEM was employed to analyse the data based on (n = 240) responses. Furthermore, fsQCA was used to reveal configurational models.

The SEM results revealed that workplace FoMO harms PW and stimulates ESM use. OSP has a positive impact on ESM use and PW. Furthermore, ESM use is positively associated with PW and enriches IP. The ESM use partially and significantly mediates (a) workplace FoMO and PW, and (b) OSP and PW. The fsQCA results revealed that two configurational models, (a) “ESM” and (b) “OSP*PW”, are vital in enhancing IP.

The present study utilises symmetric and asymmetric modelling approaches considering a separate prediction-oriented pioneer method. This study provides a novel perspective and adds new insights to the literature on ESM use, workplace FoMO and employee-related outcomes.

Incipient detection of pavement deterioration (such as crack identification) is critical to optimizing road maintenance because it enables preventative steps to be implemented to mitigate damage and possible failure. Traditional visual inspection has been largely superseded by semi-automatic/automatic procedures given significant advancements in image processing. Therefore, there is a need to develop automated tools to detect and classify cracks.

The literature review is employed to evaluate existing attempts to use Hough transform algorithm and highlight issues that should be improved. Then, developing a simple low-cost crack detection method based on the Hough transform algorithm for pavement crack detection and classification.

Analysis results reveal that model accuracy reaches 92.14% for vertical cracks, 93.03% for diagonal cracks and 95.61% for horizontal cracks. The time lapse for detecting the crack type for one image is circa 0.98 s for vertical cracks, 0.79 s for horizontal cracks and 0.83 s for diagonal cracks. Ensuing discourse serves to illustrate the inherent potential of a simple low-cost image processing method in automated pavement crack detection. Moreover, this method provides direct guidance for long-term pavement optimal maintenance decisions.

The outcome of this research can help highway agencies to detect and classify cracks accurately for a very long highway without a need for manual inspection, which can significantly minimize cost.

Hough transform algorithm was tested in terms of detect and classify a large dataset of highway images, and the accuracy reaches 92.14%, which can be considered as a very accurate percentage regarding automated cracks and distresses classification.

The credibility crisis of science is a growing topic of investigation. This study approaches the problem from the sustainability of the scholarly communication system by merging argumentation with information science.

Coding and content analysis drawing from a well-established textual argumentative tradition; a novel non-textual approach to complex communication and, an overlooked definition of sustainable information, were applied to 34 research works. The retrieval was carried out using Inciteful, a tool exploring literature networks. Additional information, such as keywords, mapping to Sustainable Development Goals (SDGs) and citations were acquired through the OpenAlex API. Operationalisation of concepts from the theoretical framework underpinned the selection and analysis of documents.

Scholars virtually involve peers, funding agencies, research councils, policymakers, experts, practitioners and representatives of the public in their formal written production. The described coalitions are occasional, while the needed ones are deep. Three forms of scholarly communication were found: traditional, dialogical and complex depending on the involved audiences. The sample tells us about the sustainability of the scientific communication system and the impact it may have on the public construction of imaginaries of science.

This investigation frames scholars, their products and societies as intertwined dialogical entities constantly communicating and impacting each other. Direct and indirect forms of scholarly communications are addressed too, showing how poor sustainability in these processes may entail a failure to reach different layers of societies.

Research on financing for entrepreneurship has consolidated over the last decade. However, one question remains unanswered: how does the combination of external finance, such as equity and debt capital, and internal finance, such as working capital, affect the likelihood of grant funding over time? The purpose of this study is to analyse the relationship between different sources of financing and firms' ability to fundraise via innovation grants and to examine the role of female chief executive officer (CEO) in this relationship. Unlike equity and debt funding, innovation grants manifest a form of innovation acknowledgement and visibility, recognition of potential commercialization of inovation.

The authors use firm-level financial data for 3,034 high-growth firms observed in 2015, 2017 and 2019 across 35 emerging sectors in the United Kingdom (UK) to test the factors affecting the propensity of high-growth firms to secure an innovation grant as a main source of fundraising for innovation during the early stages of product commercialization.

The results do not confirm gender bias for innovation fundraising in new industries. This contrasts with prior research in the field which has demonstrated that access to finance is gender-biased. However, the role of CEO gender is important as it moderates the relationship between the sources of funding and the likelihood of accessing the grant funding.

This study does not analyse psychological or neurological factors that could determine the intrinsic qualities of male and female CEOs when making high-risk decisions under conditions of uncertainty related to innovation. Direct gender bias with regards to access to innovation grants could not be assumed. This study offers important policy implications and explains how firms in new industries can increase their likelihood of accessing a grant and how CEO gender can moderate the relationship between availability of internal and external funding and securing a new grant.

This study implicates and empirically demonstrates that gender bias does not apply in fundraising for innovation in new industries. As female CEOs represent various firms in different sectors, this may be an important signal for investors in new product development and innovation policies targeting gender bias and inclusion.

The authors draw on female entrepreneurship and feminist literature to demonstrate how various sources of financing and gender change the likelihood of grant funding in both the short and long run. This is the first empirical study which aims to explain how various internal and external sources of finance change the propensity of securing an innovation grant in new industries.

The purpose of this multi-voiced paper is to propose a prosocial paradigm for the field of performance management and management control systems. This new paradigm suggests cultivating prosocial behaviour and prosocial groups in organizations to simultaneously achieve the objectives of economic performance and sustainability.

The authors share a common concern about the future of humanity and nature. The authors challenge the influential assumption of economic man from neoclassical economic theory and build on evolutionary science and the core design principles of prosocial groups to develop a prosocial paradigm.

Findings are based on the premise of the prosocial paradigm that self-interested behaviour may outperform prosocial behaviour within a group but that prosocial groups outperform groups dominated by self-interest. The authors explore various dimensions of performance management from the prosocial perspective in the private and public sectors.

The authors call for theoretical, conceptual and empirical research that explores the prosocial paradigm. They invite any approach, including positivist, interpretive and critical research, as well as those using qualitative, quantitative and interventionist methods.

This paper offers implications from the prosocial paradigm for practitioners, particularly for executives and managers, policymakers and educators.

Adoption of the prosocial paradigm in research and practice shapes what the authors call the prosocial market economy. This is an aspired cultural evolution that functions with market competition yet systematically strengthens prosociality as a cultural norm in organizations, markets and society at large.

Intellectual property (IP) theft is an increasing threat that can lead to large financial losses and reputational harm. These attacks are typically noticed only after the IP is stolen, which is usually too late. This paper aims to investigate the psychological profile and the socio-technical events that statistically predict the likelihood of an IP threat.

This paper analyses 86 IP theft cases found in court documents. Two novel analyses are conducted. The research uses LLMs to analyse the personality of these insiders, which is followed by an investigation of the pathways to the attack using behaviour sequence analysis (BSA).

These IP theft insiders scored significantly higher on measures of Machiavellianism compared to the normal population. Socio-technical variables, including IP theft via photographs, travelling overseas, approaching multiple organisations and delivering presentations, were identified. Contrary to previous assumptions that there is a single pathway to an attack, the authors found that multiple, complex pathways lead to an attack (sometimes multiple attacks). This work, therefore, provides a new framework for considering critical pathways to insider attacks.

These findings reveal that IP theft insiders may come across as charming, star employees rather than the stereotype of disgruntled employees. Moreover, organisations’ policies may need to consider that IP theft occurs via non-linear and multiple pathways. This means that sequences of events need to be considered in detecting these attacks instead of anomalies outright. The authors also argue that there may be a case for “continuous evaluation” to detect insider activity.

This paper offers a new framework for understanding and studying insider threats. Instead of a single critical pathway, this work demonstrates the need to consider multiple interconnected pathways. It elucidates the importance of a multidisciplinary approach and provides opportunities to reconsider current practices in detection and prevention.

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.

This study is devoted to examining the peer effects of engineering enterprises’ internationalization from the viewpoint of industry subdivision and how information and competition alter peer effects. Furthermore, the heterogeneity of peer effects is analyzed based on manager characteristics.

In this study, multiple regression analysis was conducted on a sample of 38 Chinese engineering enterprises listed in the Engineering News-Record’s top 250 international contractors over the period of 2013–2021. This study collected the paired data from the enterprise annual reports and the China Stock Market & Accounting Research database.

The results reveal that (1) there exist peer effects within the subdivided industry of the engineering field; the quality of information disclosure of peer enterprises and degree of market competition moderate the peer effects; (2) the peer effects of internationalization are more pronounced in engineering enterprises with managers who have lower ability, hold greater power or are older.

The findings of this study contribute to understanding the peer effect in the process of internationalization of engineering enterprises, and help enterprises to effectively supervise the irrational behavior of top managers, so as to develop better internationalization strategies.

The results extend peer effects to the subdivision industry of the engineering field. Furthermore, this study also enriches the relevant research on peer effects among enterprises by empirically supporting the moderating role of information and competition as well as analyzing the heterogeneity of the peer effects from the perspective of manager characteristics.