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1 – 2 of 2Rachid Jabbouri, Helmi Issa, Roy Dakroub and Ahmed Ankit
With the rapid diffusion of the metaverse into all aspects of businesses and the education industry, scholars have predominantly focused on examining its projected benefits and…
Abstract
Purpose
With the rapid diffusion of the metaverse into all aspects of businesses and the education industry, scholars have predominantly focused on examining its projected benefits and harms, yet have overlooked to empirically explore its unpredictable nature, which offers an exciting realm of unexplored challenges and opportunities.
Design/methodology/approach
This research adopts a qualitative research design in the form of 24 interviews from a single EdTech to investigate the possibility of unexpected developments resulting from the integration of the metaverse into its solutions.
Findings
Three noteworthy observations have emerged from the analysis: technological obsolescence, resource allocation imbalance, and monoculturalism.
Originality/value
This research pioneers an empirical exploration of the latent outcomes stemming from metaverse adoption within EdTechs, while also introducing a novel theoretical framework termed “meta-governance,” which extends the Edu-Metaverse ecosystem.
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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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