Role difference and negativity bias relevance in strategy review: An experiment

References

• Atkinson, A. A., Kaplan, R. S., & Ella Mae Matsumura, S. M. Y. (2012). Management accounting: information for decision making and strategy execution, Vol. 6. Pearson Education, Inc. https://doi.org/https://doi.org/10.1023/A:1011351316971
   Google Scholar
• Banker, R. D., Chang, H., & Pizzini, M. J. (2004). The balanced scorecard: Judgmental effects of performance measures linked to strategy. The Accounting Review, 79(1), 1–19. https://doi.org/https://doi.org/10.2308/accr.2004.79.1.1
   Google Scholar
• Bartlett, G., Johnson, E., & Reckers, P. (2014). Accountability and role effects in balanced scorecard performance evaluations when strategy timeline is specified. European Accounting Review, 23(1), 143–165. https://doi.org/https://doi.org/10.1080/09638180.2013.809977
   Google Scholar
• Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370. https://doi.org/https://doi.org/10.1037/1089-2680.5.4.323
   Google Scholar
• Bazrkar, A., Iranzadeh, S., & Feghhi Farahmand, N. (2017). Total quality model for aligning organization strategy, improving performance, and improving customer satisfaction by using an approach based on combination of balanced scorecard and lean six sigma. Cogent Business and Management, 4(1). https://doi.org/https://doi.org/10.1080/23311975.2017.1390818
   Google Scholar
• Birnberg, J. G., Frieze, I. H., & Shields, M. D. (1977). The role of attribution theory in control systems. Accounting, Organizations and Society, 2(3), 189–200. https://doi.org/https://doi.org/10.1016/0361-3682(77)90011-3
   Google Scholar
• Birnberg, J. G., Luft, J., & Shields, M. D. (2006). Psychology Theory in Management Accounting Research. 113–135. https://doi.org/https://doi.org/10.1016/S1751–3243(06)01004–2
   Google Scholar
• Birnberg, J. G., Luft, J., & Shields, M. D. (2006). Psychology Theory in Management Accounting Research. 113–135. https://doi.org/https://doi.org/10.1016/S1751–3243(06)01004–2
   Google Scholar
• Brandon, D. M., Long, J. H., Loraas, T. M., Mueller-Phillips, J., & Vansant, B. (2014). Online instrument delivery and participant recruitment services: Emerging opportunities for behavioral accounting research. Behavioral Research in Accounting, 26(1), 1–23. https://doi.org/https://doi.org/10.2308/bria-50651
   Google Scholar
• Bryce, M., Ali, M. J., & Mather, P. R. (2020). Director expectations gap and hindsight bias. Accounting and Finance. https://doi.org/https://doi.org/10.1111/acfi.12689https://doi.org/https://doi.org/10.1111/acfi.12689
   Google Scholar
• Capelo, C., & Dias, J. F. (2009). A system dynamics-based simulation experiment for testing mental model and performance effects of using the balanced scorecard. System Dynamics Review, 25(1), 1–34. https://doi.org/https://doi.org/10.1002/sdr.413
   Google Scholar
• Carson, J., Waddingham, J., & Mackey, J. (2020). Organization member action proximity and attributions for managerial crisis response failure. Management Decision, 58(10), 2177–2193. https://doi.org/https://doi.org/10.1108/MD-08-2020-1059
   Google Scholar
• Cheng, M. M., & Humphreys, K. A. (2012). The differential improvement effects of the strategy map and scorecard perspectives on managers’ strategic judgments. The Accounting Review, 87(3), 899–924. https://doi.org/https://doi.org/10.2308/accr-10212
   Google Scholar
• Chenhall, R.H. dan Moers, F. (2015). The Role of Innovation in the Evolution of Management Accounting and Its Integration into Management Control. Accounting, Organizations and Society, 70, 92–105, doi:https://doi.org/10.1016/j.aos.2015.10.002
   Google Scholar
• Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). The McGraw_Hill/Irwin.
   Google Scholar
• Corns, J. (2018). Rethinking the Negativity Bias. Review of Philosophy and Psychology, 9(3), 607–625. https://doi.org/https://doi.org/10.1007/s13164-018-0382-7
   Google Scholar
• Dilla, W. N., & Steinbart, P. J. (2005). The effects of alternative supplementary display formats on balanced scorecard judgments. International Journal of Accounting Information Systems, 6(3), 159–176. https://doi.org/https://doi.org/10.1016/j.accinf.2004.12.002
   Google Scholar
• Farrell, A. M., Kadous, K., & dan Towry, K. L. (2012). Does the Communication of Causal Linkages Improve Employee Effort Allocations and Firm Performance? An Experimental Investigation. Journal of Management Accounting Research, 24, 77–102. doi:https://doi.org/10.2308/jmar-50149
   Google Scholar
• Hewett, R., Shantz, A., Mundy, J., & Alfes, K. (2018). Attribution theories in human resource management research: A review and research agenda. International Journal of Human Resource Management, 29(1), 87–126. https://doi.org/https://doi.org/10.1080/09585192.2017.1380062
   Google Scholar
• Hirsch, B., Seubert, A., & Sohn, M. (2015). Visualisation of data in management accounting reports. Journal of Applied Accounting Research, 161, 221–239. https://doi.org/https://doi.org/10.1108/JAAR-08-2012-0059
   Google Scholar
• Hoque, Z. (2014). 20 years of studies on the balanced scorecard: Trends, accomplishments, gaps and opportunities for future research. British Accounting Review, 46(1), 33–59. https://doi.org/https://doi.org/10.1016/j.bar.2013.10.003
   Google Scholar
• Huck, S. (2012). Reading Statistics and Research (6th ed.). Pearson Education, Inc. https://doi.org/https://doi.org/10.3946/kjme.2011.23.2.141
   Google Scholar
• Humphreys, K. A., Gary, M. S., & Trotman, K. T. (2016). Dynamic decision making using the balanced scorecard framework. The Accounting Review, 91(5), 1441–1465. https://doi.org/https://doi.org/10.2308/accr-51364
   Google Scholar
• Humphreys, K. A., & Trotman, K. T. (2011). The balanced scorecard: The effect of strategy information on performance evaluation judgments. Journal of Management Accounting Research, 23(1), 81–98. https://doi.org/https://doi.org/10.2308/jmar-10085
   Google Scholar
• Johnson, E. N., Reckers, P. M. J., & Bartlett, G. D. (2014). Influences of timeline and perceived strategy effectiveness on balanced scorecard performance evaluation judgments. Journal of Management Accounting Research, 26(1), 165–184. https://doi.org/https://doi.org/10.2308/jmar-50639
   Google Scholar
• Kalender, Z.T. dan Vayvay, O. (2016). The Fifth Pillar of the Balanced Scorecard: Sustainability. Procedia - Social and Behavioral Sciences, 235, 76–83, doi:https://doi.org/10.1016/j.sbspro.2016.11.027
   Google Scholar
• Kaplan, R. S., & Norton, D. (2006). Alignment: Using the BSC to create corporate synergies. Harvard Business School Press. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:No+Title#0
   Google Scholar
• Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard-measures that drive performance. Harvard Business Review, Jan-Feb, 71–79. http://arxiv.org/abs/cond-mat/9906032
   Google Scholar
• Kaplan, R. S., & Norton, D. P. (2004). Strategy Maps: Converting Intangible Assets into Tangible Outcomes. Harvard Business School Publishing Corporation
   Google Scholar
• Kaplan, R.S. dan Norton, P. (1996). Linking the Balanced Scorecard to Strategy. California Management Review, 39(1), 53–79, https://doi.org/https://doi.org/10.2307/41165876
   Google Scholar
• Kaplan, S. E., Petersen, M. J., & Samuels, J. A. (2012). An examination of the effect of positive and negative performance on the relative weighting of strategically and non-strategically linked balanced scorecard measures. Behavioral Research in Accounting, 24(2), 133–151. https://doi.org/https://doi.org/10.2308/bria-50114
   Google Scholar
• Kaplan, S. E., Petersen, M. J., & Samuels, J. A. (2018). Further evidence on the negativity bias in performance evaluation: When does the evaluator’s perspective matter? Journal of Management Accounting Research, 30(1), 169–184. https://doi.org/https://doi.org/10.2308/jmar-51698
   Google Scholar
• Kasingku, F. J., & Goedono, G. (2017). The impact of a disaggregation strategy with supplementary displays towards balanced scorecard performance evaluation. Journal of Indonesian Economy and Business, 32(3), 234. https://doi.org/https://doi.org/10.22146/jieb.30298
   Google Scholar
• Khalifeh, C. J., & Sivabalan, P. (2014). An experimental study on the effect of budget information on balanced scorecard preparer individual learning. Australian Accounting Review, 24(1), 39–52. https://doi.org/https://doi.org/10.1111/auar.12017
   Google Scholar
• Lalwani, A. (2006). Negativity and positivity in product evaluations: The impact of consumer goals and prior attitudes [Dissertation in Business Administration]. University of Illinois at Urbana-Champaign. http://hdl.handle.net/2142/84550
   Google Scholar
• Le, H. M., Nguyen, T. T., & Hoang, T. C. (2020). Organizational culture, management accounting information, innovation capability and firm performance. Cogent Business and Management, 7(1), 1857594. https://doi.org/https://doi.org/10.1080/23311975.2020.1857594
   Google Scholar
• Libby, T., Salterio, S. E., & Webb, A. (2004). The balanced scorecard: The effects of assurance and process accountability on managerial judgment. The Accounting Review, 79(4), 1075–1094. https://doi.org/https://doi.org/10.2308/accr.2004.79.4.1075
   Google Scholar
• Liedtka, S. L., Church, B. K., & Ray, M. R. (2008). Performance variability, ambiguity intolerance, and balanced scorecard-based performance assessments. Behavioral Research in Accounting, 20(2), 73–88. https://doi.org/https://doi.org/10.2308/bria.2008.20.2.73
   Google Scholar
• Lipe, M. G., & Salterio, S. E. (2000). The balanced scorecard: Judgmental effects of common and unique performance measures. The Accounting Review, 75(3), 283–298. https://doi.org/https://doi.org/10.2308/accr.2000.75.3.283
   Google Scholar
• Liu, S., Zhang, J., Keil, M., & Chen, T. (2010). Comparing senior executive and project manager perceptions of IT project risk: A Chinese Delphi study. Information Systems Journal, 20(4), 319–355. https://doi.org/https://doi.org/10.1111/j.1365-2575.2009.00333.x
   Google Scholar
• Long, J. H., Mertins, L., & Vansant, B. (2015). The effects of firm-provided measure weightings on evaluators’ incorporation of non-contractible information. Journal of Management Accounting Research, 27(1), 47–62. https://doi.org/https://doi.org/10.2308/jmar-50837
   Google Scholar
• Nahartyo, E., & Utami, I. (2019). In B. Sarwiji (ed.), Panduan Praktis Riset Eksperimen (2nd). Indeks.
   Google Scholar
• Nuijten, A., Keil, M., Pijl, G. van der, & Commandeur, H. (2018). IT managers’ vs. IT auditors’ perceptions of risks: An actor–observer asymmetry perspective. Information & Management, 55(1), 80–93. https://doi.org/https://doi.org/10.1016/j.im.2017.04.002
   Google Scholar
• Rigby, D., & Bilodeau, B. (2015). Management tools & trends 2015 - Bain & company. Business insights, Bain & Company. http://www.bain.com/publications/articles/management-tools-and-trends-2015.aspx
   Google Scholar
• Rigby, D., & Bilodeau, B. (2018). Management tools & trends 2017 - Bain & company. Business insights, Bain & Company. file:///Y:/Gruppen/ben/00_Public/Lena/Alberto/BAIN_BRIEF-Management_Tools_and_Trends.pdf.
   Google Scholar
• Roberts, M. L., Albright, T. L., & Hibbets, A. R. (2004). Debiasing Balanced Scorecard Evaluations. Behavioral Research in Accounting, 16(1), 75–88. https://doi.org/https://doi.org/10.2308/bria.2004.16.1.75
   Google Scholar
• Sanchez-Marquez, R., Albarracín Guillem, J. M., Vicens-Salort, E., & Jabaloyes Vivas, J. (2020). A systemic methodology for the reduction of complexity of the balanced scorecard in the manufacturing environment. Cogent Business and Management, 7(1), 1. https://doi.org/https://doi.org/10.1080/23311975.2020.1720944
   Google Scholar
• Shields, M. D., Birnberg, J. G., & Frieze, I. H. (1981). Attributions, Cognitive Processes and Control Systems. Accounting, Organizations and Society, 6(1), 69–93. https://doi.org/https://doi.org/10.1016/0361-3682(81)90023-4
   Google Scholar
• Simons, R. (2000). Performance measurement and control systems for implementing strategy text and cases: Global edition. Prentice Hall.
   Google Scholar
• Skowronski, J. J., & Carlston, D. E. (1989). Negativity and extremity biases in impression formation: A review of explanations. Psychological Bulletin, 105(1), 131–142. https://doi.org/https://doi.org/10.1037/0033-2909.105.1.131
   Google Scholar
• Tayler, W. B. (2010). The balanced scorecard as a strategy-evaluation tool: The effects of implementation involvement and a causal-chain focus. The Accounting Review, 85(3), 1095–1117. https://doi.org/https://doi.org/10.2308/accr.2010.85.3.1095
   Google Scholar
• Wibbeke, L. M., & Lachmann, M. (2020). Psychology in management accounting and control research: an overview of the recent literature. In Journal of Management Control (Vol. 31, Issue 3). Springer Berlin Heidelberg. https://doi.org/https://doi.org/10.1007/s00187-020-00302–3
   Google Scholar
• Wong-On-Wing, B., Guo, L., Li, W., & Yang, D. (2007). Reducing conflict in balanced scorecard evaluations. Accounting, Organizations and Society, 32(4–5), 363–377. https://doi.org/https://doi.org/10.1016/j.aos.2006.05.001
   Google Scholar
• Yelderman, L. A., Lawrence, T. I., Lyons, C. E., & DeVault, A. (2020). Actor–observer asymmetry in perceptions of parole board release decisions. Psychiatry, Psychology and Law, 1–22. https://doi.org/https://doi.org/10.1080/13218719.2020.1821826
   Google Scholar
• Zheng, W. (2020). 5 strategies to support your employees through a crisis. Harvard Business Review, 1–6. https://hbr.org/2020/10/5-strategies-to-support-your-employees-through-a-crisis
   Google Scholar