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European, Mediterranean, and Middle Eastern Conference on Information Systems

EMCIS 2018: Information Systems pp 532–546Cite as

The Determinants of XBRL Adoption: An Empirical Study in an Emerging Economy

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

Abstract

The purpose of this paper is: (1) to analyze the current state of financial reporting standardization; (2) to determine the impact of technical, organizational and environmental factors on the level of adoption of XBRL; (3) to investigate if there was a difference regarding the impact of the these factors on financial companies, and regulatory bodies, in emerging countries, as is Montenegro. Survey’s data and the effect of the variables were tested using the explorative factor analysis. In line with exceptions, results suggest that there is a difference with regard to impact of analyzed factors on degree of acceptance of standardized reporting forms. Environmental factors have the biggest influence, then the technical ones and at the end organizational factors. Obtained findings can serve creators of national financial reporting strategies to understand impact of analyzed factors, properly identify challenges with regard XBRL adoption and better manage with proactive or corrective initiatives.

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Authors and Affiliations

  1. Faculty of Economics, University of Montenegro, Podgorica, Montenegro

    Tanja Lakovic, Biljana Rondovic, Tamara Backovic-Vulic & Ivana Ivanovic

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  1. Tanja Lakovic
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  2. Biljana Rondovic
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  3. Tamara Backovic-Vulic
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  4. Ivana Ivanovic
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Correspondence to Tanja Lakovic .

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Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Lakovic, T., Rondovic, B., Backovic-Vulic, T., Ivanovic, I. (2019). The Determinants of XBRL Adoption: An Empirical Study in an Emerging Economy. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_41

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_41

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  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

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