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The purpose of this paper is to discuss how the concepts market value (MV) and exit price should be interpreted in thin markets and how accounting rules may need to change to take this into account.

This is a conceptual paper using hypothetical examples as a base for the conclusions.

In a thin market, actors can have rather different reservation prices. The price will then be set through bargaining and the agreed price could be considerable above the reservation price of the actor with the second highest reservation price. The exit price should then be below what the MV was before the transaction and below the entry price, and according to the current accounting rules, the value in the balance sheet should then be below the price paid. The authors’ experience is, however, that this rarely happens in practice.

The limitation of the paper is that it is a conceptual paper and not based a systematic empirical study of accounting practices.

The results of the paper indicate that there is a need to revise the current accounting rules. Possible changes are discussed.

As far as the authors know, this is the first paper that looks at problems in the current value concepts related to differences in reservation prices in thin markets.

The purpose of this article is to study how fair values in financial reports are audited.

The study is a qualitative case study based on in-depth interviews.

One important finding is that auditors anchor in the figure presented by the company, and despite the auditing efforts, there is a substantial risk of management bias in the fair values reported. There is a risk for confirmation bias.

Relatively, few respondents were employed in this study, but their background and competence lead to the assessment that the study provides a representative picture of what is being investigated.

Auditors may need to develop ways of performing auditing of fair values to reduce the risks identified in this study.

This study presents a perspective of the auditing process enabling an evaluation of the quality of fair value estimates regarding investment properties in the financial reports. This study also provides users of financial reports as investors, bankers and other institutions with an enhanced understanding of reported estimates of fair (market) values.

Very few studies have investigated how auditors evaluate fair values of investment properties. This study contributes by giving users of financial reports an enhanced understanding of the quality of reported estimates of fair (market) values.

The purpose of the article is to discuss how the demand for disclosure regarding property valuation in financial reports can be fulfilled.

The starting point is the generally established methods for property valuation and the different types of data that they need. From this it is deduced what kind of information that it is necessary to supply.

An important conclusion from the research reported in this paper is that disclosure regarding applied methods, significant assumptions in property valuations and statements about the connections between appraised values and market evidence needs refinement in financial reports, according to International Financial Reporting Standards (IFRS). As the uncertainty in property valuations cannot be removed, it has to be managed. Providing explicit disclosure about valuations is one important way to manage this issue by reducing the gap of information asymmetry between those who perform valuations and those who are users of financial statements.

Providing high quality disclosure on these issues would make analysis and the application of individual judgement by users of financial reports far easier. Findings reported in this paper imply that many companies have not so far found the right balance between cost and benefits regarding what amount of disclosure would be appropriate on this issue in financial reports.

The detailed discussion about what information that should be disclosed concerning property valuation is an original contribution of the paper.

Real estate is a capital-intensive industry for which the asset values tend to be highly volatile and uncertain. Transaction costs in the industry are therefore high, and transparency for investors may be low. The need to signal reliable estimates of property assets, in the communication to external stakeholders, can therefore be expected to be of extra importance in this sector. The purpose of this paper is to investigate how real estate firms use big four auditors to signal quality.

The authors use Swedish firm level data containing all limited liability real estate companies in the country to determine the determinants of big four auditors. The data set consists of 34,306 observations and is analyzed through logit regressions.

The results show that big four companies are primarily contracted by large and mature companies, rather than new firms or firms with volatile financial records, although the latter could be expected to have a large need to signal quality. The authors also find that firms listed on the stock market and firms targeting public use real estate are more inclined to use big four companies.

Real estate is a capital-intensive industry for which the asset values tend to be highly volatile and uncertain. Transaction costs in the industry are therefore high, and transparency for investors may be low. The need to signal reliable estimates of property assets, in the communication to external stakeholders, can therefore be expected to be of extra importance in this sector. No prior study of this area has been detected.

The purpose of this paper is to examine the interaction effect of moral identity and construal level on consumer green consumption and the mediating role of pro-environmental self-accountability.

The authors examined the hypotheses in two experiment studies. In study 1, the authors measured participants’ chronic individual difference of moral identity and primed construal level. In study 2, the authors primed moral identity and measured chronic individual difference of construal level. The authors also measured pro-environmental self-accountability in these two studies.

The results reveal that construal level moderates the relationship between moral identity and consumer green consumption, specifically, when consumers are induced a high construal level, moral identity has no effect on consumer green consumption, while when consumers are induced a low construal level, moral identity has a positive effect on consumer green consumption; the interaction of moral identity and construal level on green consumption is mediated by pro-environmental self-accountability.

This research enriches the literature on how to improve consumer green consumption, and thus has some managerial and public policy implications. But the authors only chose students as participants and the dependent measures are also limited. Future research can choose other type of sample and other dependent measures to test the generalization of the conclusion.

Prior literature of green consumption lacks research on mediation mechanism. Due to prior literature gaps, the authors integrate social-cognitive perspective moral identity theory, especially the in-group circle expansion of moral identity, and construal level theory to investigate the moderating effect of construal level on the relationship between moral identity and green consumption and the mediation effect of pro-environmental self-accountability.

This paper attempts to combine the application of artificial intelligence in predicting and evaluating the classification of surrounding rock grades and provides guidance for subsequent support design and reinforcement support operations.

This paper discusses the use of BPNN as the primary tool, combined with three swarm bionic optimization algorithms (GA, PSO, GWO), to solve stability evaluation and grade prediction of surrounding rock in ultra-deep roadway excavation.

Taking the Great Wall ore group as the core and the Shanghaimiao mining area as the extension, the optimal model is applied to the classification of surrounding rock grade in ultra-deep roadway engineering. Prediction results show that the performance of BPNN models is excellent.

Due to the limitations of geological conditions and construction environment in deep coal mines, the period of roadway excavation is too long, resulting in less data collection.

The prediction results can provide guidance for the excavation method, support scheme correction and reinforcement support scheme design of deep coal mine roadway engineering.

It provides guidance for deep mining of coal mine (the premise of surrounding rock support stability), so as to ensure the economic and safety benefits of coal enterprises.

The neural network is applied to rock mechanics in a deep site for the first time, which is used to solve the prediction direction of surrounding rock grade evaluation. The index of the input layer is determined by combining the “three high and one disturbance” with the on-site construction situation, which is closer to the actual project. The swarm intelligent bionic algorithms are selected to optimize the hyperparameters of back propagation neural network, so as to improve the accuracy of the models. The classification and evaluation system of surrounding rock for the Great Wall ore group is constructed, which is the core of Shanghaimiao mining area in the northwest of China, guiding the dynamic adjustment of on-site excavation and support operations.

The purpose of this paper is to apply the concept of consumer innovativeness to the robotic restaurants field.

A research model including 13 hypotheses is examined using a sample of 409 subjects gathered.

The results indicate that four underlying dimensions of consumer innovativeness have a positive effect on overall image, which, in turn, increases desire. In addition, desire aids to enhance the two dimensions of behavior intentions.

Robotic restaurant managers are required to focus more on quality experience-seeking, hedonic experience-seeking, venturesomeness and social distinctiveness using automated systems, which aid to enhance the image of robotic restaurants.

Consumer innovativeness is regarded as a significant concept in the domain of a novel technology-based product and service, but it has not been explored in the restaurant context. Thus, this study tried to apply consumer innovativeness to the robotic restaurant industry for the first time and explained how to form consumer behavioral intentions based on the concept.

Work-related stress is a significant occupational health issue. Stress cannot be viewed separately from the perceptual or interpretive act by the individual. Self-efficacy is a personal characteristic that explains a high proportion of variation in the performance of school principals.

The current study examines if the COVID-pandemic is related to burnout among school principals. Additionally, the study analyzes if the self-efficacy of school principals plays a mediating role in the impact that the COVID-19 crisis had on their burnout level. To explore this, the authors used survey data of 981 Flemish school principals.

The findings indicate that the COVID-19 pandemic is related to feelings of burnout among Flemish school principals. In addition, self-efficacy mediated the relationship between the COVID-19 scale and the four core subscales of burnout: exhaustion, mental distance, emotional impairment and cognitive impairment. No mediating effect of self-efficacy was found for the secondary symptoms of burnout, psychological distress and psychosomatic complaints.

This paper emphasizes the importance of school principal's self-efficacy experiences for crisis management. Implications for school leadership training and support are discussed.