Jun Heng Chou, Prerana Agrawal and Jacqueline Birt
The purpose of this paper is to analyse stakeholders’ perceptions on the accounting of crypto-assets. They also look at the need to amend/clarify existing accounting standards or…
Abstract
Purpose
The purpose of this paper is to analyse stakeholders’ perceptions on the accounting of crypto-assets. They also look at the need to amend/clarify existing accounting standards or develop new accounting standards.
Design/methodology/approach
The authors use a qualitative approach featuring interviews with four stakeholder groups including academics, professional bodies, standard setters and accounting practitioners. Interview recordings are transcribed and then analysed through NVivo.
Findings
The interviewees identify various issues in the application of current accounting standards to crypto-assets. The interviewees perceive that the rapid development of crypto-assets and fluidity hinder the development of accounting guidance. Hence, continuous monitoring by standard-setters is required. The general consensus is that unless there are crypto-assets with economic characteristics and functionality that are pervasive enough to warrant a new accounting standard, principles of current accounting standards are robust to address gaps in accounting requirements for crypto-assets.
Originality/value
This study adds to the discussion on harmonising the current practices in accounting of crypto-assets. By examining perceptions of multiple stakeholder groups, this study provides insights into the applicability of current accounting standards to the classification, measurement and disclosure of crypto-assets. The findings will inform standard setters and aid their efforts towards providing formal guidance on the accounting of crypto-assets.
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Keywords
Rajeev R. Bhattacharya and Mahendra R. Gupta
The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a…
Abstract
Purpose
The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.
Design/methodology/approach
The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.
Findings
The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.
Originality/value
There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.
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This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of…
Abstract
Purpose
This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of literature, as well as prepare a research agenda for future studies.
Design/methodology/approach
A pool of 72 articles published between 2010 and 2022 is reviewed with a special focus on Indian tech employees. This study elucidates the extent and impact of employee retention strategies through content analysis.
Findings
Two broad perspectives have been established in the literature: the reasons for quitting and the explanations for staying. By means of a comprehensive review, this paper combines these two aspects of literature and suggests factors under organization’s control to retain competent tech employees.
Originality/value
The study is designed to integrate the two theoretical viewpoints of employee turnover literature by consolidating the reasons behind quitting behaviour and staying intention. Codes combining the two aspects are presented as a valuable resource to retain tech talent.