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This paper aims to propose using human senses as a means of thinking about the contributions of this research.

Based upon the metaphor of human senses, the model describes different aspects of research, such as topic selection, theory and method, providing suggestions for enhancing relevance and expanding the audience for the research. The model is applied to a current working paper on cyber security and then more broadly to provide suggestions for researchers who are interested in conducting research on risk.

The model can be used to frame different types of research projects in a way that helps to increase the interest in and impact of this research.

The model in the paper is ad hoc but provides a fresh way to view this research.

Increasing interest in accounting research can result in a broader audience for this work.

The paper provides a means for researchers to step back from their research and think about what makes their research original and interesting.

This study aims to investigate how professional financial statement users use carbon accounting information in their decisions and whether this use is sensitive to changing the decision context from an investment to a donation.

Using a sample of 173 US professional financial statement users, the authors conduct an experiment that manipulates an investment or donation choice to evaluate how differing levels of carbon sequestration affect decision-making across contexts.

Carbon sequestration information affects users’ donation decisions but does not affect investment decisions. Variation in the reliability of the information and whether the information is linked to strategy do not affect users’ decision-making.

This study is performed by an experiment and informs our understanding of the relevance to users of carbon sequestration disclosure. Results indicate that carbon sequestration disclosure has value for donation but not investment decisions. The authors interpret this as evidence of some value of this type of disclosure in professional financial statement users’ decision-making but not for a financially focused evaluation.

This paper provides unique insights into the effect of reporting carbon sequestration on decision-making. There has been significant research on the broader topic of corporate sustainability, and capital markets research indicates that the market values increased sustainability disclosure. This study extends the research by examining a specific component of carbon disclosure that is not currently widely reported and by the use of information for different types of evaluations. The results find evidence that the value of this type of carbon disclosure does not stem from a purely financial perspective but instead, from other nonpecuniary factors.

The purpose of this study is to investigate how two types of drivers, namely, executive compensation and market competition, can affect hospital quality in the USA. Recently, patients, insurers and regulators have increasingly focused on hospital quality. Understanding the interplay of incentives in this industry is important because in 2019, hospital treatment contributed $1.161bn to health-care costs in the USA. This study answers the call for more studies in the so-called “mixed” industry, where ownership differences can affect organizational objectives and operating constraints.

This study explores the roles of hospital executive compensation and industry competition as determinants of health-care quality. Specifically, the study probes the heterogeneity in the factors that influence quality across hospital types in the USA.

Using California hospital data from 2006 through 2020, the findings show that the effects of compensation and competition on hospital quality differ by ownership type. Executive compensation is positively associated with quality in for-profit hospitals but is not associated with that of nonprofit hospitals, suggesting for-profit hospitals are more likely to use higher levels of compensation to attract managers with higher ability, whereas the utility function for nonprofit managers may be multidimensional. Within the nonprofit hospital group, competition is more positively associated with quality for religious nonprofits relative to secular nonprofits, suggesting that competition provides more monitoring for religious hospitals.

Taken together, the findings provide evidence that the drivers of quality vary across hospitals in ways consistent with differences in constraints and objectives across ownership types. The findings are important for regulators seeking to incentivize higher quality. For example, Medicare in the USA has incorporated quality measures into its new hospital reimbursement scheme (value-based purchasing) to incentivize quality. This study proposes that regulators should consider differences across ownership types when evaluating the best ways to incentivize hospital quality.

This study aims to analyze whether corporate social responsibility (CSR) report characteristics, including disclosure level and external assurance, and reporting firms’ CSR performance, explain variation in cost of equity capital among CSR disclosers.

The study uses a propensity score matched sample of CSR reports prepared according to the Global Reporting Initiative’s (GRI) G3/G3.1 Reporting Guidelines.

Overall, there does not appear to be a difference in cost of equity capital among CSR disclosers based on GRI disclosure level. The exception is for poor CSR performers reporting at the highest GRI disclosure levels, but not obtaining assurance. These firms may be suspected of greenwash and therefore have higher cost of equity capital than the reference group. Poor CSR performers, especially those reporting at the highest GRI disclosure levels, obtain the greatest cost of equity capital benefit associated with external assurance.

This study contributes to the literature by showing that the cost of equity capital benefits associated with CSR disclosure and assurance do not accrue equally to all CSR disclosers. Specifically, this study is the first to provide empirical evidence of the cost of equity capital consequences of suspected greenwashing and empirically demonstrate the role of external assurance in mitigating greenwashing concerns among poor performers.

This study reviews research that examines economic and behavioural consequences of CSR reporting regulations. Specifically, the authors evaluate the impact of CSR reporting regulations on (1) reporting quality, (2) capital-markets and (3) firm behaviour.

The authors first describe the stated objectives and enforcement level of CSR reporting regulations around the world. Second, the authors review over 130 archival studies in accounting, finance, economics, law and management that examine consequences of the regulations.

The stated objectives and enforcement of CSR reporting regulations vary considerably across countries. Empirical research finds no significant changes in reporting quality and generally concludes that CSR reporting continues to be ceremonial rather than substantive after the regulations – consistent with corporate legitimation and “greenwashing” views. In contrast, growing evidence shows both positive and negative capital-market and real effects of the regulations. Overall, the findings from this review indicate that, on balance, there remains a significant number of questions on the net effects of CSR reporting regulations.

The authors offer a comprehensive review of the literature examining consequences of CSR reporting regulations. The authors identify apparent tensions in studies assessing different outcomes after the regulations: between symbolic reporting and positive capital-market outcomes; between profitability and CSR; and between CSR and the welfare of non-shareholder groups. Additionally, we highlight differences in the scope and stated objectives of CSR regulations across countries, with the regulations often reflecting socio-economic development and national interests of implementing countries. Collectively, our review indicates that institutional details are crucial when considering the design or consequences of CSR reporting regulations and/or standards.

The focus is the interplay of cognitive capabilities (mathematical understanding and heuristic problem solving) and learning from feedback. Furthermore, the authors analyze the role of individual factors in designing appropriate feedback systems for complex decision-making situations. Based on a learning model the purpose of this paper is to present an experimental study analyzing the feedback effectiveness in a repeated complex production planning task. Referring to individual characteristics in terms of educational background and problem solving capabilities of the decision maker the authors compare different forms of feedback systems.

The authors performed four experiments bi-weekly based on a realistic production planning situation. Participants received – depending on the treatment – different types of feedback concerning the final outcomes of the production plans. For testing the hypotheses, the authors conducted ANCOVAs and additional post hoc tests for each subgroup to explore the effects of different types of feedback on the subgroups’ decision-making performance.

The authors show that feedback information is not always helpful, but due to acquired knowledge and problem solving capabilities can even be harmful. The authors also show that, depending on the decision maker’s individual characteristics and her past performance, the type of feedback is crucial for the learning process.

The study provides important information about feedback design taking individual characteristics of decision makers (educational background, work experience) into account. Applying the results of the study can increase decision-making performance and enhance learning of production planning tasks.

The findings extend previous literature reporting that the performance in complex decision-making tasks depends on educational background and on the ability to cope with the phenomena of cognitive load, working memory limitations and the capability to utilize relevant heuristics to prevent information overload. Some of our results, e.g., the negative impact of non-financial feedback of high-performing economists, contradict the general findings in the literature.

The purpose of this paper is to develop a meta-model that systematically aggregates and organizes research on “partner selection” in interorganizational relationships (IORs), which is scattered across several disciplines, to help future researchers explore various aspects of this control mechanism in a more consistent manner. This paper also aims at critically reviewing each aspect of this control mechanism examined in the prior literature and identifying important research trends.

This paper conducts a comprehensive review and in-depth analysis of the key theoretical and empirical research findings on partner selection in IORs by identifying 172 papers across 46 journals that specifically discuss this control mechanism. A meta-model approach is adopted to review and identify the shortcomings in extant research and provide guidance to future researchers on exploring unanswered research questions. Moreover, maps are constructed using the Luft and Shields’s (2003) approach to graphically present the causal-model forms examined in this topic area.

This meta-model shows how the research on partner selection in IORs is scattered across different disciplines, resulting in its inconsistent evolution with researchers, in many cases, not being able to effectively synthesize contributions from fields that are not their own or not closely allied. The causal-model forms also enable rapid tracing of what has been researched.

There has been considerable research on control mechanisms in IORs till date. However, “partner selection,” which is an important control mechanism, has received little attention and is often neglected. To the best of the author’s knowledge, this paper is the first to develop a meta-model to consolidate knowledge on this topic that is important for further advancement of research.