Search results

The purpose of this study is to investigate the effect of anarchist accounting (AA) on stakeholder relationship capability (SRC) in the context of Iranian capital market companies.

This study is based on a descriptive survey-correlation data collection method. As this study is on (AA) and (SRC) in Iran, the population of the study is made up of all financial managers and heads of the accounting department of capital market companies in Iran. Among 185 companies (Tehran Stock Exchange [TSE]), 100 companies were selected as samples which are all in the TSE. As suggested by Niles (2006), a minimum sample size of 10% of the population is generally acceptable. A questionnaire survey was adopted in obtaining primary data for this study. Thus, based on Cochran sampling techniques, 395 questionnaires were returned and became the basis of analysis. Also, partial least square was used to test the research hypothesis.

The statistical findings indicate the fit of the structural desirability of the factor load and according to the standardized coefficient (path coefficient), the dimensions of AA have a negative and significant effect on SRC, because the path coefficient is positive.

Theoretically, to the best of the authors’ knowledge, this study is the first research that tries to examine the stakeholder relationship capability through the link between social/political approaches with accounting procedures, an issue that has not been considered in any prior study. Also, conducting the present study in the conditions of social distrust in the Iranian capital market can be important, because the expansion of anarchist accounting helps to create a level of symmetry and equality in information disclosure and it can create value for shareholders.

Pursuit of meaning is at the heart of much of organizational life. It has implications for how different organizational stakeholders associate value to various organizational initiatives. Research on meaning has generally shown that effort increases meaning and favorable valuation of and willingness to pay for economic activities by organizational stakeholders. The authors build on and advance this research by offering theory and experimental evidence showing that effort, particularly at high levels, results in enhanced meaning and favorable valuation when effort does not threaten the focal stakeholders' resources through expectation disconfirmation.

Three experimental studies are designed and conducted in this research. In one study, the authors replicate prior research findings that establish labor generally increases meaning and favorable valuation. In the two subsequent studies, the authors test the proposed hypothesis in this research and check for robustness of the empirical analysis.

The authors find that any internalized threat to the focal stakeholder's resources coupled with a high exertion of effort decreases, rather than increases, meaning and favorable valuation of and willingness to pay for economic activities.

The theory and empirical evidence in this research advance the understanding of how organizational stakeholders may associate effort-induced meaning with various economic activities in counter-intuitive ways. The findings also highlight the importance of recognizing and shaping the expectations of organizational stakeholders in influencing willingness to pay in organizational settings.

From the buying club’s perspective, the transfer of a player can be interpreted as an investment from which the club expects uncertain future benefits. This paper aims to develop a decision-oriented approach for the valuation of football players that could theoretically help clubs determine the subjective value of investing in a player to assess its potential economic advantage.

We build on a semi-investment-theoretical risk-value model and elaborate an approach that can be applied in imperfect markets under uncertainty. Furthermore, we illustrate the valuation process with a numerical example based on fictitious data. Due to this explicitly intended decision support, our approach differs fundamentally from a large part of the literature, which is empirically based and attempts to explain observable figures through various influencing factors.

We propose a semi-investment-theoretical valuation approach that is based on a two-step model, namely, a first valuation at the club level and a final calculation to determine the decision value for an individual player. In contrast to the previous literature, we do not rely on an econometric framework that attempts to explain observable past variables but rather present a general, forward-looking decision model that can support managers in their investment decisions.

This approach is the first to show managers how to make an economically rational investment decision by determining the maximum payable price. Nevertheless, there is no normative requirement for the decision-maker. The club will obviously have to supplement the calculus with nonfinancial objectives. Overall, our paper can constitute a first step toward decision-oriented player valuation and for theoretical comparison with practical investment decisions in football clubs, which obviously take into account other specific sports team decisions.

In Family Law Court decisions in Australia, following divorce, the female party is frequently disadvantaged financially in the long term. This paper provides a critical assessment of valuation evidence as a data source in research and discusses valuation accuracy, valuation variation and valuation bias, as well as the Australian family court system and the role of valuers as expert witnesses. In particular, valuation in family law, as it relates to gender inequality, is discussed. The study aims to determine whether the current system of valuation in the Family Law Courts disadvantages women. This paper was important to reveal information that stakeholders in family law cases use on a day-to-day basis.

A database of 658 cases was developed and analysed to examine the influence of valuations of the matrimonial home provided by both the male and female parties on the final decision of the court.

Findings showed that valuations from the female party had marginally more influence on the outcome. However, financial disadvantages for the female party persist despite this. This raises several questions for future research, regarding reasons for this persistent disadvantage.

Research limitations included a time-consuming process.

Further researchers can use the findings from this paper to further research.

Social implications include the ability of the research to impact on society. In this regard, it was the matrimonial home in relation to divorce proceedings.

The originality of this paper stems from the analysis of a database that was created from a large number of cases from Austlii database family law cases.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

This study aims to investigate the impact of consumer ethnocentrism on consumers' evaluation of blockchain-based traceability information. It also examined how the use of quick response (QR) codes for traceability affects consumers' evaluation of traceable food products.

An online choice experiment was conducted to determine consumers' evaluation of the blockchain-based traceability of Feta cheese with a quota sample of 715 Greek consumers. Pearson bivariate correlation and mean comparison were used to examine the relationship between consumer ethnocentrism and QR use behaviour. Random parameter logit models were employed to examine consumers’ valuation of the examined attributes and interaction terms.

The results show that ethnocentric consumers are willing to pay more for blockchain-based traceability information. Ethnocentric consumers tend to scan QR codes with traceability information. Spending more time reading traceability information embedded in QR codes does not lead to a higher willingness-to-pay (WTP) for traceable food products.

The findings suggest that patriotic marketing messages can draw consumers' attention to blockchain-based traceability information. The modest WTP for and low familiarity with blockchain-based traceability systems raise the need for educating consumers regarding the benefits of blockchain in traceability systems.

This is the first study to provide timely empirical evidence of a positive WTP for blockchain-based traceability information for a processed dairy product. This study is the first to attempt to distinguish the effects of the intention to scan QR codes and reading information embedded in QR codes on consumers’ valuation of food attributes.

This study aims to investigate key aspects of public ownership of land, expropriation and compensation laws and practices in Ethiopia with special reference to Burayu Town.

A mixed research technique of descriptive and analytic approach is applied in the research. This study used a purposive sampling technique to select case study counties and a systematic method for sampling households. Questionnaire surveys, focus group discussions, interviews and observations were used to collect empirical data. Average, percentage and paired-sample t-test analyses are used for quantitative data analysis.

Significant discrepancies exist between the expropriation laws and how property valuation and compensation are practiced in Ethiopia. The findings include the arbitrariness in designating public interest status to projects; unfair property valuation practice that neglects location factor to determine market value due to a skewed understanding of public ownership of land; and the assignment of property valuators who have no valuation expertise and proper knowledge of expropriation related laws. Findings revealed the socio-economic status of expropriated households has deteriorated due to the expropriation of their landholding.

It was difficult to locate the relocated persons as they were resettled in different localities. Furthermore, the town officers were not forthcoming to provide complete information on the expropriation and compensation procedures they followed. However, this study overcame the limitations through persistent requests and availing time for the data gathering.

The findings indicated the need to redefine relationships between public ownership of land, public interest and expropriation of landholding. A proper understanding of the triad will pave the way for better expropriation practice in Ethiopia and in countries where land is under public ownership.

The social implication of the study revealed that the socio-economic situation of relocated persons was adversely affected due to the poor implementation of laws.

The disparity between public ownership of land and the rights of citizens on landholding is misunderstood by policymakers. Research has shown for the first time the root cause for the discontent of expropriated persons in Ethiopia.

Drawing upon a political economy approach, this article aims to analyze the transformations in the labor market within the context of contemporary capitalism, focusing on the phenomenon of financialization.

Financialization is defined as a distinct wealth pattern marked by a growing proportion of financial assets in capitalist wealth. Within financial markets, corporate performance is continuously assessed, in a process that disciplines management to achieve expected financial results, with consequences throughout corporate management.

We find that this phenomenon has implications for labor management, resulting in the intensification of labor processes and the adoption of insecure forms of employment, leading to the fractalization of work. These two mechanisms, added to the indebtedness of workers, constitute three elements for disciplining labor in contemporary capitalism.

We argue that these forms of discipline constitute a subsumption of labor to finance, resulting in an increase in labor exploitation. This formulation of the relationship between financialization and changes in the realm of labor also contributes to understanding the unrealizing potential of social free time in contemporary capitalism.

This viewpoint will present some statistical information about employee ownership in the US and interpret and analyze this information in order to address the barriers question using material from qualitative interviews that the authors have conducted over the last ten years with practitioners in the field. There have been few actual empirical studies that sort out the different barriers to employee ownership. The authors have chosen to focus on employee stock ownership plan (ESOP) in the US because this is the principal example from which people could learn from, and the high prevalence of ESOPs plays an important role in the US. This overview will present interpretations of these interviews with conceptual arguments that cannot always be supported with either overwhelming empirical studies or arguments that conclusively eliminate one or other explanation. This is an initial attempt to bring some comprehensive treatment and data to this incipient discussion. This is based on an interpretive analysis of qualitative interviews without quantification or social survey methods used for measurement. The advantage of this approach is that it lays out a completely different level of analysis of the barriers to employee ownership in the US that is “closer to the ground” and more based in the views of front-line practitioners who are actually implementing it.

Analysis and interpretation of qualitative interviews.

The list of barriers that has been identified is not exhaustive. The preliminary conclusions are that (not necessarily in this order) limitations of investment banking models, poor supportive infrastructure, complexity and cost and regulatory issues, the lack of support by political parties and social movements, the sale of companies due to financial considerations and legal complexities and lack of clarity and resistance by Federal agencies are major barriers in the US. Various sectors of Wall Street has been amenable to employee ownership with the proper government and private sector support. What is needed now is a series of quantitative surveys and qualitative interviews of retiring business owners in closely held companies and of CEOs and CFOs in stock market companies in order to gauge the barriers that they believe are blocking their own action in the employee share ownership area. The Rutgers Institute for the Study of Employee Ownership and Profit Sharing is working on such a research agenda at this time. In addition, with the future size of the US employee ownership sector at stake, a more intensive one-year interview project would make sense in order to present these different explanations to key actors and practitioners and ask them to provide evidence to prove or disprove the relevance of the different barriers.

Empirical research which can resolve which barriers are more important than others is presented, when possible; however, studies that provide metrics to compare different barriers are not available and need to be carried out.

Other countries considering employee ownership policies can learn from the US experience. US policymakers and legislators can learn from an original, recent discussion of barriers.

If employee ownership sectors are to be developed, a careful discussion of barriers is most relevant.

Original document by the authors based on original interviews.

Digital data acquisition is crucial for operations in the digital transformation era. Reality capture (RC) has made an immeasurable contribution to various fields, especially in the built environment. This paper aims to review RC applications, potentials, limitations and the extent to which RC can be adopted for cost monitoring of construction projects.

A mixed-method approach, using Bibliometric analysis and the PRISMA framework, was used to review and analyse 112 peer-reviewed journal articles from the Scopus and Web of Science databases.

The study reveals RC has been applied in various areas in the built environment, but health and safety, cost and labour productivity monitoring have received little or no attention. It is proposed that RC can significantly support cost monitoring owing to its ability to acquire accurate and quick digital as-built 3D point cloud data, which contains rich measurement points for the valuation of work done.

The study’s conclusions are based only on the Scopus and Web of Science data sets. Only English language documents were approved, whereas others may be in other languages. The research is a non-validation of findings using empirical data to confirm the data obtained from RC literature.

This paper highlights the importance of RC for cost monitoring in construction projects, filling knowledge gaps and enhancing project outcomes.

The implementation of RC in the era of the digital revolution has the potential to improve project delivery around the world today. Every project’s success is largely determined by the availability of precise and detailed digital data. RC applications have pushed for more sustainable design, construction and operations in the built environment.

The study has given research trends on the extent of RC applications, potentials, limitations and future directions.