EconPapers    
Economics at your fingertips  
 

Enhanced methodology to assess business research community serving extended realities movement

Shahryar Sorooshian

Socio-Economic Planning Sciences, 2024, vol. 95, issue C

Abstract: Virtual, augmented, and mixed reality, known collectively as extended realities (XR), have the potential to transform businesses but research service is required. This report explores the productivity of XR-related in business research. This paper has enhanced the traditional bibliometric approach by integrating it with a mathematical supplement, Expedited Analytical Hierarchy Process (EAHP). This enhanced methodology allows for a nuanced evaluation of research service productivity and offers direction for future research efforts. Productivity is evaluated in terms of the effectiveness and efficiency of research results, so creating a bibliometrics index for commenting on research effectiveness and evaluating research efficiency criteria from a publication standpoint, the work added to the field. Analysis of the collected scientometrics data show the field is not yet optimally productive, leading to a call for increased focus on future research. Besides, the utilization of EAHP's systematics way to convert the data into a future research direction, with mixed reality found to require more attention than other XRs. A complementary literature analysis step highlights the practical application of XRs in business and the growing importance of the XR-owned worlds, metaverses. As a result, this study found evidence to argue that the services provided by the business research community are not optimally productive when dealing with the XR movement, and it calls for more attention to support businesses.

Keywords: Extended realities (XR); Virtual reality (VR); Augmented reality (AR); Mixed reality (MR); Metaverse; Business research (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012124002143
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124002143

DOI: 10.1016/j.seps.2024.102015

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:soceps:v:95:y:2024:i:c:s0038012124002143