Jan Svanberg
Universitetslektor
Om forskaren
Forskar inom Management Accounting, Performance, Accountability, CSR, Costs and Costing Systems.
Visa innehållet
Artiklar
Refereegranskat
Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P., Neidermeyer, P., Rana, T., Maisano, F. & Danielson, M. (2023). Must social performance ratings be idiosyncratic? An exploration of social performance ratings with predictive validity. Emerald, Sustainability Accounting, Management and Policy Journal, 14 (7), (313-348). 10.1108/sampj-03-2022-0127 [Mer information]
Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P., Neidermeyer, P., Rana, T., Semenova, N. & Danielson, M. (2022). Corporate governance performance ratings with machine learning. Wiley, International Journal of Intelligent Systems in Accounting, Finance & Management, 29 (1), (50-68). 10.1002/isaf.1505 [Mer information]
Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P., Rana, T. & Danielson, M. (2022). Prediction of environmental controversies and development of a corporate environmental performance rating methodology. Elsevier, Journal of Cleaner Production, 344 (), 10.1016/j.jclepro.2022.130979 [Mer information]
Svanberg, J., Öhman, P. & Neidermeyer, P. (2019). Auditor objectivity as a function of auditor negotiation self-efficacy beliefs. Elsevier, Advances in Accounting, 44 (), (121-131). [Mer information]
Svanberg, J., Öhman, P. & Neidermeyer, P. (2018). Client-identified auditor’s initial negotiation tactics. Emerald Group Publishing Limited, Managerial Auditing Journal, 33 (6-7), (633-654). [Mer information]
Svanberg, J., Öhman, P. & Neidermeyer, P. (2017). The relationship between transformational client leadership and auditor objectivity. Emerald Group Publishing Limited, Accounting, Auditing & Accountability Journal, 30 (5), (1142-1159). [Mer information]
Svanberg, J. & Öhman, P. (2016). Does Charismatic Client Leadership Constrain Auditor Objectivity?. American Accounting Association, Behavioral Research in Accounting, 29 (1), (103-118). [Mer information]
Svanberg, J. & Öhman, P. (2016). Does ethical culture in audit firms support auditor objectivity?. Accounting in Europe, 13 (1), (65-79). [Mer information]
Svanberg, J. & Öhman, P. (2016). The effects of time budget pressure, organizational–professional conflict, and organizational commitment on dysfunctional auditor behavior. International Journal of Accounting, Auditing and Performance Evaluation, 12 (2), (131-150). [Mer information]
Svanberg, J. & Öhman, P. (2015). Auditors’ identification with their clients. The British Accounting Review, 47 (4), (395-408). [Mer information]
Svanberg, J. & Öhman, P. (2014). Lost revenues associated with going concern modified opinions in the Swedish audit market. Journal of Applied Accounting Research, 15 (2), (197-214). [Mer information]
Svanberg, J. (2013). Application of moral norms in accounting as communication. ARSP. Archiv für Rechts- und Socialphilosophie, 99 (1), (95-114). [Mer information]
Svanberg, J. & Öhman, P. (2013). Auditors' time pressure. Managerial Auditing Journal, 28 (7), (572-591). [Mer information]
Rapporter
Öhman, P. & Svanberg, J. (2015). Påverkar en identifiering med klienterna revisorers oberoende? : . : Mittuniversitetet. s 7. (Rapport / CER - Centrum för forskning om ekonomiska relationer 2015:6) Mer information [Mer information]
Öhman, P. & Svanberg, J. (2013). Tidspress, etisk kultur och revisionskvalitet : . : Mittuniversitetet. s 6. (Rapport / CER - Centrum för forskning om ekonomiska relationer 2013:8) Mer information [Mer information]
Kapitel i böcker
Öhman, P., Svanberg, J. & Samsten, I. (2023). Assessment of double materiality. Auditing Transformation: Regulation, Digitalisation and Sustainability. Routledge. S. 205-227. [Mer information]
Tarek, R., Svanberg, J., Öhrman, P. & Lowe, A. (2023). Introduction: Analytics in Accounting and Auditing. Handbook of Big Data and Analytics in Accounting and Auditing. Springer Nature. S. 1-13. [Mer information]
Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P. & Neidermeyer, P. (2023). Prediction of Controversies and Estimation of ESG Performance: An Experimental Investigation Using Machine Learning. Handbook of Big Data and Analytics in Accounting and Auditing. Springer. S. 65-87. [Mer information]
Visa innehållet
Sidan uppdaterades 2024-04-18