Skip to main content
Log in

The association between CEO work, management accounting information, and financial performance: evidence from Finnish top managers

  • Original Paper
  • Published:
Journal of Management Control Aims and scope Submit manuscript

Abstract

The objective of this study is to analyze the association between CEO work, importance of management accounting information (MAI), and financial performance of the firm. The research model is based on nine hypotheses on the association of CEO work with traditional dimensions of managerial tasks (time span, process stage, and functional area), importance of MAI, and financial performance. We assume that CEO work is directly associated with the importance of MAI, but also indirectly mediated by traditional task dimensions. It is also assumed that CEO work is associated with financial performance directly, but also indirectly mediated by the importance of MAI. The research model was tested by the partial least squares method using survey data from 215 Finnish top managers (CEOs) from firms of different industry and size classes. CEO work was captured in Mintzberg’s (The nature of managerial work. New York: Harper & Row, 1973) classic ten work roles, measured by the importance of 20 tasks. The importance of MAI was reflected by the importance of both the scope and the perspective of MAI. Financial performance was measured by traditional financial ratios. The results generally show that the CEO work latent variable (“information-user CEO”, IUC) is strongly associated with the importance of MAI. It is also strongly associated with traditional dimensions of managerial tasks. However, these dimensions do not intermediate this association further to the importance of MAI. This importance has only a weak direct association with financial performance that is negatively associated with IUC work.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. It is important that the indicators cover all relevant alternatives.

  2. The time span classes for tasks are: \(<\) 1 month; 1–12 months; 1–3 years; \(>\) 3 years.

  3. The functional areas for tasks are: Financial accounting; finance; management accounting; legal matters; human resource management; purchasing and supply management; marketing & PR; production management; research and development.

  4. For abbreviations of variables, see Table 5 in Appendix.

  5. Formative indicators are constructed to cover all relevant alternatives for a concept.

  6. However, low coefficients are expected in this modeling, since the set of independent variables is strongly limited due to the focus of the study.

References

  • Alexander, L. D. (1979). The effect of level in the hierarchy and functional area have on the extent Minzberg’s role are required by managerial jobs. Academy of Management Proceedings, 22(1), 186–189.

    Article  Google Scholar 

  • Baines, A., & Langfield-Smith, K. (2003). Antecedents to management accounting change: A structural equation approach. Accounting Organizations and Society, 28(7/8), 675–698.

    Article  Google Scholar 

  • Bass, B., Jung, D., Avolio, B., & Berson, Y. (2003). Predicting unit performance by assessing transformational and transactional leadership. Journal of Applied Psychology, 88(2), 207–219.

    Article  Google Scholar 

  • Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), 305–314.

  • Brecht, H. D., & Merle, P. M. (1996). Accounting information systems: The challenge of extending their scope to business and information strategy. Accounting Horizons, 10(4), 16–22.

    Google Scholar 

  • Bruns, W, Jr, & McKinnon, S. M. (1993). Information and managers: A field study. Journal of Management Accounting Research, 5(2), 84–108.

    Google Scholar 

  • Carroll, S. J., & Gillen, D. J. (1984). The classical management functions: Are they really outdated? Academy of Management Proceedings, 44, 132–136.

    Article  Google Scholar 

  • Carroll, S. J., & Gillen, D. J. (1987). Are the classical management functions useful in describing managerial work? The Academy of Management Review, 12(1), 38–51.

    Article  Google Scholar 

  • Chenhall, R. H. (2003). Management control system design within its organizational context: findings from contingency-based research and directions for the future. Accounting Organizations and Society, 28(2–3), 127–168.

    Article  Google Scholar 

  • Chenhall, R. H. (2005). Integrative strategic performance measurement systems, strategic alignment of manufacturing, learning and strategic outcomes: an exploratory study. Accounting Organizations and Society, 30(5), 395–422.

    Article  Google Scholar 

  • Chenhall, R., & Morris, D. (1986). Organic decision and communication processes and management accounting systems in entrepreneurial and conservative business organizations. Omega International Journal of Management Science, 23(5), 485–497.

    Article  Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Curry, A., Flett, P., & Hollingsworth, I. (2006). Managing information and systems: The business perspective. Great Britain: Taylor & Francis.

    Google Scholar 

  • Davis, S., & Albright, T. (2004). An investigation of the effect of Balanced Scorecard implementation on financial performance. Management Accounting Research, 15, 135–153.

    Article  Google Scholar 

  • Fayol, H. (1949). General and industrial management. London: Pitman.

    Google Scholar 

  • Fisher, J. G. (1995). Contingency-based research on management control systems: Categorization by level of complexity. Journal of Accounting Literature, 14, 24–53.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  • Fox, P. (1992). Exploring managers’ jobs. Management Decision, 30(6), 52–63.

    Article  Google Scholar 

  • Gibbs, B. (1994). The effects of environment and technology on managerial roles. Journal of Management, 20(3), 581–604.

    Article  Google Scholar 

  • Gillen, D. J., & Carroll, S. J. (1985). Relationship of managerial ability to unit effectiveness in more organic versus more mechanistic departments. Journal of Management Studies, 22(6), 668–676.

    Article  Google Scholar 

  • Hall, M. (2010). Accounting information and managerial work. Accounting Organizations and Society, 35(3), 301–315.

    Article  Google Scholar 

  • Harrison, A. M. (1978). The operational definition of managerial roles (Unpublished Doctoral dissertation), University of Cape Town.

  • Hart, S. L., & Quinn, R. E. (1993). Roles executives play: CEOs, behavioral complexity and firm performance. Human Relations, 46(5), 543–574.

    Article  Google Scholar 

  • Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–319.

    Google Scholar 

  • Hiebl, R. W. (2014). Upper echelons theory in management accounting and control research. Journal of Management Control, 24(3), 223–241.

    Article  Google Scholar 

  • Hopwood, A. (2007). Whither accounting research. The Accounting Review, 82(5), 1365–1374.

    Article  Google Scholar 

  • Ittner, C. D., & Larcker, D. F. (1998). Innovations in performance measurement: Trends & research implications. The Journal of Management Accounting Research, 10, 205–238.

    Google Scholar 

  • Ittner, C. D., Larcker, D. F., & Meyer, M. W. (2003). Subjectivity and the weighting of performance measures: Evidence from a balanced scorecard. The Accounting Review, 78(2), 725–758.

    Article  Google Scholar 

  • Johnson, H. T., & Kaplan, R. (1987). Relevance lost: The rise and fall of management accounting. Boston: Harvard Business School Press.

    Google Scholar 

  • Jönsson, S. (1998). Relate management accounting research to managerial work!. Accounting Organizations and Society, 23(4), 411–34.

    Article  Google Scholar 

  • Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—measures that drive performance. Harvard Business Review, 70(1/2), 71–79.

    Google Scholar 

  • Kotter, J. P. (1982). The general managers. New York: The Free Press.

    Google Scholar 

  • Kotter, J. P. (1999). What effective general managers really do. Harvard Business Review, 77(2), 145–159.

    Google Scholar 

  • Laitinen, E. K. (2009). Importance of performance information in managerial work. Industrial Management & Data Systems, 109(4), 550–569.

    Article  Google Scholar 

  • Laitinen, E. K. (2011). Explaining the scope of information in performance measurement: managerial roles and contextual variables. International Journal of Accounting, Auditing and Performance Evaluation, 7(4), 303–336.

    Article  Google Scholar 

  • Ling, Y., Simsek, Z., Lubatkin, M. H., & Veiga, J. F. (2008). The impact of transformational CEOs on the performance of small- to medium-sized firms: Does organizational context matter. Journal of Applied Psychology, 93(4), 923–934.

    Article  Google Scholar 

  • Luft, J., & Shields, M. D. (2003). Mapping management accounting: Graphics and guidelines for theory-consistent empirical research. Accounting Organizations and Society, 28(2–3), 169–249.

    Article  Google Scholar 

  • Mahoney, T. A., Jerdee, T. H., & Carroll, S. J. (1965). The jobs of management. California Management Review, 4, 97–110.

    Google Scholar 

  • Mahoney, T. A., Sorenson, W. W., Jerdee, T. H., & Nash, A. N. (1963). Identification and prediction of managerial effectiveness. Personnel Administration, 26, 12–22.

  • Malmi, T. (2001). Balanced scorecards in Finnish companies. Management Accounting Research, 12(2), 207–220.

    Article  Google Scholar 

  • March, J. G. (1987). Ambiguity and accounting: The elusive link between information and decision making. In B. E. Cushing (Ed.), Accounting and culture (pp. 31–49). Sarasota: AAA.

  • Mauldin, E. G., & Ruchala, L. V. (1999). Towards a meta-theory of accounting information systems. Accounting Organizations and Society, 24(4), 317–331.

    Article  Google Scholar 

  • McKinnon, S. M., & Bruns, W. J, Jr. (1992). The information mosaic. Boston: Harvard Business School Press.

    Google Scholar 

  • Merchant, K. A., & Otley, D. (2006). A review of the literature on control and accountability. In C. Chapman, A. Hopwood & M. Shields (Eds.), The handbook of management accounting research. Oxford: Elsevier Press.

  • Mia, L. (1993). The role of MAS information in organization: An empirical study. British Accounting Review, 25(3), 269–85.

  • Mia, L., & Chenhall, R. (1994). The usefulness of management accounting systems, functional differentiation and managerial effectiveness. Accounting, Organizations and Society, 19(1), 1–13.

  • Mintzberg, H. (1973). The nature of managerial work. New York: Harper & Row.

    Google Scholar 

  • Mintzberg, H. (1975). The manager’s job: Folklore and fact. Harvard Business Review, 53(4), 49–61.

    Google Scholar 

  • Mintzberg, H. (1979). A new look at the Chief Executive’s Job. Organizational Dynamics, 1(3), 21–30.

    Article  Google Scholar 

  • Mintzberg, H. (1989). Mintzberg on management: Inside our strange world of organizations. MacMillan: The Free Press.

    Google Scholar 

  • Neely, A. (2008). Does the balanced scorecard work: An empirical investigation. Cranfield University School of Management Research paper no 1/08, Cranfield.

  • Noordegraaf, M., & Stewart, R. (2000). Managerial behaviour research in private and public sectors: distinctiveness, disputes and directions. Journal of Management Studies, 37(3), 427–443.

    Article  Google Scholar 

  • Norreklit, H. (2000). The balance on the balanced scorecard—a critical analysis of some of its assumptions. Management Accounting Research, 11(1), 65–83.

    Article  Google Scholar 

  • Pavett, C. M., & Lau, A. W. (1982). Management roles, skills, and effective performance. Academy of Management Proceedings, 1982, 95–99.

    Article  Google Scholar 

  • Pavett, C. M., & Lau, A. W. (1983). Managerial work: The influence of hierarchical level and functional specialty. Academy of Management Journal, 26, 170–178.

    Article  Google Scholar 

  • Sah, R. K., & Stiglitz, J. E. (1991). The quality of managers in centralized versus decentralized organizations. Quarterly Journal of Economics, 106, 289–295.

    Article  Google Scholar 

  • Shaeffer, U., & Dossi, A. (2014). Top management impact on management control. Journal of Management Control, 24(3), 219–221.

    Article  Google Scholar 

  • Simons, R. (1991). Strategic orientation and top management attention to control systems. Strategic Management Journal, 12(1), 49–62.

    Article  Google Scholar 

  • Smith, D., & Langfield-Smith, K. (2004). Structural equation modeling in management accounting research: Critical analysis and opportunities. Journal of Accounting Literature, 23, 49–86.

    Google Scholar 

  • Stage, F. K., Carter, H., & Nora, A. (2004). Path Analysis: An introduction and analysis of a decade of research. Journal of Educational Research, 98(1), 5–12.

    Article  Google Scholar 

  • Stewart, R. (1988). Managers and their Jobs. London: MacMillan Press.

    Google Scholar 

  • Temme, D., Kreis, H., Hildebrandt, L. (2006) PLS path modeling—A software review. SFB 649 Discussion Papers SFB649DP2006-084. Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  • Tengblad, S. (2002). Time and space in managerial work. Strategic Management Journal, 18(4), 543–565.

    Google Scholar 

  • Tengblad, S. (2006). Is there a ‘New Managerial Work’? A comparison with Henry Mintzberg’s classic study 30 years later. Journal of Management Studies, 43(7), 1437–1461.

    Article  Google Scholar 

  • Tillema, S. (2005). Towards an integrated contingency framework for MAS sophistication: Case studies on the scope of accounting instruments in Dutch power and gas companies. Management Accounting Research, 16(1), 101–129.

    Article  Google Scholar 

  • Tripsas, M., & Gavetti, G. (2000). Capabilities, cognition, and inertia: Evidence from digital imaging. The Strategic Management Journal, 21(11), 1147–1161.

    Article  Google Scholar 

  • van der Veeken, H. J. M., & Wouters, M. J. F. (2002). Using accounting information systems by operations managers in a project company. Management Accounting Research, 13(3), 345–370.

    Article  Google Scholar 

  • Waldman, D. A., Javidan, M., & Varella, P. (2004). Charismatic leadership at the strategic level: A new application of upper echelons theory. Leadership Quarterly, 15(3), 355–380.

    Article  Google Scholar 

  • Waldman, D. A., Ramirez, G. G., House, R. J., & Puranam, P. (2001). Does leadership matter? CEO leadership attributes and profitability under conditions of perceived environmental uncertainty. Academy of Management Journal, 44(1), 134–143.

    Article  Google Scholar 

  • Yin, R. K. (1989). Case study research: Design and methods. Beverly Hills: Sage Publications.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Erkki K. Laitinen.

Appendix

Appendix

See Table 5.

Table 5 Descriptive statistics of model variables (N=215)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Laitinen, E.K. The association between CEO work, management accounting information, and financial performance: evidence from Finnish top managers. J Manag Control 25, 221–257 (2014). https://doi.org/10.1007/s00187-014-0197-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00187-014-0197-3

Keywords

Navigation