SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

INNOVATIONS AUDIT OF INDUSTRIAL CLUSTERS: PROCESS AND MAIN TRENDS OF DEVELOPMENT

Rasa Viederytė, Lilita Ābele

First published: 2020-12-20https://doi.org/10.5593/sgem2020v/4.2/s05.06View metrics

Abstract

Innovations audit in this paper is analysed as an assessment of the existing innovativeness level of Industrial clusters production and production-related processes to determine whether specific technologies and the totality of production processes correlate with technological developments in the relevant field. It should be noted that there is no commonly encountered economic approach to analyse the innovations and technologies in industry clusters. By using Analytical hierarchy process modelling, paper covers definition of Innovations (technology) audit meaning, provides systematic approach to the Economic indicators of auditing and the proof of concept on Technology and Energy consumption audit performance is analysed through the case of recent EU funding calls in Lithuania.

Publication Impact Profile

PlumX
  • Citations
  • Scopus - Citation Indexes: 1
  • Captures
  • Mendeley - Readers: 7

Publication details

Title
INNOVATIONS AUDIT OF INDUSTRIAL CLUSTERS: PROCESS AND MAIN TRENDS OF DEVELOPMENT
Authors
Rasa Viederytė, Lilita Ābele
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th SGEM International Multidisciplinary Scientific GeoConference Proceedings 2020,
Publisher
STEF92 Technology
Year
2020
Pages
43-54
SWS Citekey
Viederyte202054354
ISSN
1314-2704
ISBN
978-619-7603-18-7
Language
en
Publication type
Conference Paper
Keywords
References23
  1. Appelbaum, D., Kogan, A., Vasarhelyi, M.A. (2016). Moving Towards Continuous Audit and Big Data with Audit Analytics: Implications for Research and Practice. Working paper, Rutgers Business School, available at: http://raw.rutgers.edu/docs/wcars/35wcars/Presentations/Deniz%20-%20Moving%20towards%20CA%20and%20BD_%2035WCARS%202015.pdf

  2. Audito kokyb?s kontrol?s direktoratas. Performance audit Manual, 2017, available at: https://www.eca.europa.eu/Lists/ECADocuments/PERF_AUDIT_MANUAL/PERF_AUDIT_MANUAL_LT.PDF

  3. Bross, U. (2012). Technology audit as a policy instrument to improve innovations and industrial competitiveness in countries in transition, Innovation: The European Journal of Social Science Research, 12:3, 397–412.

  4. Cohen, L., Diether, K., Malloy, C. (2013). Misvaluing innovation, The Review of Financial Studies, 26(3), 635–666.

  5. Dai, J., Vasarhelyi, M.A., Kogan, A. (2017). Three Essays on Audit Technology: Audit 4.0, Blockchain, and Audit App, Newark, New Jersey, available at: https://rucore.libraries.rutgers.edu/rutgers-lib/55154/

  6. Dai, J., Vasarhelyi, M.A. (2016). Imagineering Audit 4.0, Journal of Emerging Technologies in Accounting, Spring 2016, 13:1, 1–15.

  7. Directive 2012/27/EU OF The European Parliament and of the Council of 25 October 2012 on energy efficiency, amending Directives 2009/125/EC and 2010/30/EU and repealing Directives 2004/8/EC and 2006/32/EC,

  8. available at: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2012:315:0001:0056:en:PDF

  9. Gereffi, G., Lee, J. (2016). Economic and Social Upgrading in Global Value Chains and Industrial Clusters: Why Governance Matters, Journal of business Ethics, 133 (1), 25–38.

  10. Gu, W., Saaty, Th.L., Wei, L. (2018). Evaluating and Optimizing Technological Innovation Efficiency of Industrial Enterprises Based on Both Data and Judgments, International Journal of Information Technology & Decision Making, 17:1, 9–43.

  11. Hirshleifer, D., Low, A, Teoh, S.H. (2012). Are overcon?dent CEOs better innovators? The Journal of Finance 67(4), 1457–1498.

  12. Jans, M., Alles, G., Vasarhelyi, m.A. (2014). A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing, The Accounting Review, September 2014, 89:5, 1751–1773.

  13. Krahel, J.P., Titera, W.R. (2015). Consequences of Big Data and Formalization on Accounting and Auditing Standards, Accounting Horizons, June 2015, 29:2, 409–422.

  14. Konrath, L.F. (2002). Auditing: A Risk Analysis Approach: 5th edition. Cincinnati, Ohio: South-Western.

  15. Kozlowski, S. (2016). A Vision of an ENHanced ANalytic Constituent Environment: ENHANCE. Ph.D. dissertation, Rutgers, The State University of New Jersey, available at: https://rucore.libraries.rutgers.edu/rutgers-lib/50537/

  16. Lobo, G.J., Xie, Y., Zhang, J.H. (2018). Innovation, ?nancial reporting quality, and audit quality, Review of Quantitative Finance and Accounting, 51, 719–749.

  17. Merkley, K.J. (2014). Narrative disclosure and earnings performance: evidence from R&D disclosures, The Accounting Review, 89(2), 725–757.

  18. Order of the Minister of Economy of the Republic of Lithuania “On Measure of Priority 4 “Promotion of Energy Efficiency and Production of Renewable Energy” of the Operational Program for Investments of EU Funds 2014-2020 04.2.1-LVPA-K-804 “Audit for Industry LT“ Project Description of Financing Terms no. 3” Approval, 2018 June 21 No. 4-366, Vilnius, available at: https://www.esinvesticijos.lt/lt/dokumentai//2014-2020-metu-europos-sajungos-fondu-investiciju-veiksmu-programos-4-prioriteto-energijos-efektyvumo-ir-atsinaujinanciu-istekliu-energijos-gamybos-ir-naudojimo-skatinimas-priemones-nr-04-2-1-lvpa-k-804-auditas-pramonei-lt-projektu-finansavimo-salygu-3

  19. Order of the Minister of Economy of the Republic of Lithuania “On the EU Funds Investment Program 2014-2020 Measure of Priority 3 “Promotion of Small and Medium-Sized Business Competitiveness ” 03.3.1-LVPA-K-854 “Industry digitalization LT”, 2018 May 2 No. 4-257, Vilnius, available at: https://www.esinvesticijos.lt/lt/dokumentai/2014-2020-metu-europos-sajungos-fondu-investiciju-veiksmu-programos-3-prioriteto-smulkiojo-ir-vidutinio-verslo-konkurencingumo-skatinimas-priemones-nr-03-3-1-lvpa-k-854-pramones-skaitmeninimas-lt-projektu-finansavimo-salygu-aprasas

  20. O‘Donnell, J.B. (2010). Innovations in Audit Technology: A Model of Continuous Audit Adoption, Journal of Applied Business and Economics, 11–20.

  21. Rogers, E.M. (2003). Diffusion of Innovations, 5th ed., New York: Free Press.

  22. Saaty, Th.L. (2008). Decision making with the analytic hierarchy process, Int. J. Services Sciences, 1:1, 83–98.

  23. Srivastava, A. (2014). Why have measures of earnings quality changed over time? Journal of Accounting and Economics, 57(2), 196–217.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list