Scientometrics

, Volume 108, Issue 2, pp 595–611 | Cite as

Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains

Article

Abstract

Our paper analyses 25 years of performance management research published in the English-language journals, included in SSCI database, separating the business domain from public sector one. We used a content analysis for showing the relationships between the subfields of performance management and the time evolution. Through a multiple correspondence analysis based on keywords we provide a framework to track this literature over the 25-year period. We conclude the paper with a discussion on future pathways in the performance management literature.

Keywords

Performance management Multiple correspondence analysis Historiograph Scientometrics 

References

  1. Abdi, H., & Valentin, D. (2007). Multiple correspondence analysis. In N. J. Salkind (Ed.), Encyclopedia of measurement and statistics (pp. 651–657). Thousand Oaks, CA: Sage.Google Scholar
  2. Baber, W. R., Hang, S. H., & Kumar, K. R. (1998). Accounting earnings and executive compensation: The role of earnings persistence. Journal of Accounting and Economics, 25(2), 169–193.CrossRefGoogle Scholar
  3. Baiman, S., & Rajan, M. V. (1995). The informal advantages of discretionary bonus scheme. Accounting Review, 70(4), 557–579.Google Scholar
  4. Barnow, B. S. (2000). Exploring the relationship between performance management and program impact: A case study of the Job Training Partnership Act. Journal of Policy Analysis and Management, 19(1), 118–141.CrossRefGoogle Scholar
  5. Batagelj, V., & Cerinšek, M. (2013). On bibliographic networks. Scientometrics, 96(3), 845–864.CrossRefGoogle Scholar
  6. Bergh, D. D., Perry, J., & Hanke, R. (2006). Some predictors of SMJ articles impact. Strategic Management Journal, 27, 81–100.CrossRefGoogle Scholar
  7. Berry, L. L., & Parasuraman, A. (1993). Building a new academic field—the case of services marketing. Journal of Retailing, 69(1), 13–60.CrossRefGoogle Scholar
  8. Bhapkar, V. P. (1966). A note on the equivalence of two test criteria for hypotheses in categorical data. Journal of the American Statistical Association, 61, 228–235.MathSciNetCrossRefMATHGoogle Scholar
  9. Bititci, U., Carrie, A., & McDevitt, L. (1997). Integrated performance measurement systems: A development guide. International Journal of Operations and Production Management, 17(5), 522–534.CrossRefGoogle Scholar
  10. Bititci, U., Garengo, P., Dörfler, V., & Nudurupati, S. (2012). Performance measurement: Challenges for tomorrow. International Journal of Management Reviews, 14, 305–327.CrossRefGoogle Scholar
  11. Blackwell, D. W., Brickley, J. A., & Weisback, M. S. (1994). Accounting information and internal performance evaluation: Evidence from Texas. Journal of Accounting and Economics, 17(3), 331–358.CrossRefGoogle Scholar
  12. Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255.CrossRefGoogle Scholar
  13. Bourdeaux, C., & Chikoto, G. (2008). Legislative influences on performance management reform. Public Administration Review, 68(2), 253–265.CrossRefGoogle Scholar
  14. Bourne, M. (2001). The handbook of performance measurement. London: Gee Publishing.Google Scholar
  15. Bushman, R. M., Indjejikian, R., & Smith, A. (1996). CEO compensation: The role of individual performance evaluation. Journal of Accounting and Economics, 21(2), 161–193.CrossRefGoogle Scholar
  16. Bushman, R. M., & Smith, A. J. (2001). Financial accounting information and corporate governance. Journal of Accounting and Economics, 32(1–3), 237–333.CrossRefGoogle Scholar
  17. Caldarelli, A., Fiondella, C., Maffei, M., Spanò, R., & Aria, M. (2013). CEO performance evaluation systems: Empirical findings from the Italian health service. Public Money and Management, 33(5), 369–376.CrossRefGoogle Scholar
  18. Chandler, A. D. (1962). Strategy and structure: Chapters in the history of the American enterprise. Cambridge, Massachusetts: MIT Press.Google Scholar
  19. Charvet, F. F., Cooper, M. C., & Gardner, J. T. (2008). The intellectual structure of supply chain management: A bibliometric approach. Journal of Business Logistics, 29, 47–73.CrossRefGoogle Scholar
  20. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.CrossRefMATHGoogle Scholar
  21. Cody, T. G. (1986). Management consulting: A game without chips. Fitzwilliam, NH: Consultants News.Google Scholar
  22. Copeland, T., Koller, T., & Murrin, J. (2000). Valuation (3rd ed.). New York: Wiley.Google Scholar
  23. DiMascolo, M. D. (1996). Analysis of a synchronization station for the performance evaluation of a kanban system with a general arrival process of demands. European Journal of Operations Research, 89(1), 147–163.CrossRefGoogle Scholar
  24. DiMascolo, M. D., Frein, Y., & Dallery, Y. (1996). An analytical method for performance evaluation of kanban controlled production systems. Operations Research, 44(1), 50–64.CrossRefMATHGoogle Scholar
  25. Dye, T. R. (1992). Understanding public policy. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  26. Eccles, R. G. (1991). The performance measurement manifesto. Harvard Business Review, 69(1), 131–137.Google Scholar
  27. Edwards, J. R., Dean, G., & Clarke, F. (2009). Merchants’ accounts, performance assessment and decision making in mercantilist Britain. Accounting, Organizations and Society, 34(5), 551–570.CrossRefGoogle Scholar
  28. Feltham, G. A., & Xie, J. (1994). Performance measure congruity and diversity in multi-task principal/agent relations. Accounting Review , 69(3), 429–453.Google Scholar
  29. Ferlie, E., & Ongaro, E. (2015). Strategic management in public services organizations: Concepts, schools and contemporary issues. New York: Routledge.Google Scholar
  30. Fernandez-Alles, M., & Ramos-Rodríguez, A. (2009). Intellectual structure of human resources management research: A bibliometric analysis of the journal Human Resource Management, 1985–2005. Journal of the American Society for Information Science and Technology, 60(1), 161–175.Google Scholar
  31. Fetscherin, M., Voss, H., & Gugler, P. (2010). 30 years of foreign direct investment to China: An interdisciplinary literature review. International Business Review, 19, 235–246.CrossRefGoogle Scholar
  32. Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: John Wiley. ISBN 0-471-26370-2.Google Scholar
  33. Franco-Santos, M., Kennerley, M., Micheli, P., Martinez, V., Mason, S., Marr, B., et al. (2007). Towards a definition of a business performance measurement system. International Journal of Operations and Production Management, 27(8), 784–801.CrossRefGoogle Scholar
  34. Furrer, O., Thomas, H., & Goussevskaia, A. (2008). The structure and evolution of the strategic management field: A content analysis of 26 years of strategic management research. International Journal of Management Reviews, 10(1), 1–23.CrossRefGoogle Scholar
  35. Garfield, E., Pudovkin, A. I., & Istomin, V. S. (2002). Algorithmic citation-linked historiography—mapping the literature of science. Proceedings of the American Society for Information Science and Technology, 39, 14–24.CrossRefGoogle Scholar
  36. Garvey, G., & Milbourn, T. T. (2003). Incentive compensation when executives can hedge the market: Evidence of relative performance evaluation in the cross-section. Journal of Finance, 58(4), 1557–1582.CrossRefGoogle Scholar
  37. Gibbs, M., Merchant, K. A., Van der Stede, W. A., & Vargus, M. E. (2004). Determinants and effects of subjectivity in incentives. Accounting Review, 79(2), 409–436.CrossRefGoogle Scholar
  38. Greenacre, M. J., & Blasius, J. (2006). Multiple correspondence analysis and related methods. Boca Raton: Chapman and Hall/CRC.CrossRefMATHGoogle Scholar
  39. Grote, D. (2000). Public sector organizations—today’s innovative leaders in performance management. Public Personnel Management, 29(1), 1–20.MathSciNetCrossRefGoogle Scholar
  40. Hayes, R. H., & Abernathy, W. J. (1980). Managing our way to economic decline. Harvard Business Review, 58, 67–77.Google Scholar
  41. Heikkila, T., & Isett, K. R. (2007). Citizen-driven government performance. Public Administration Review, 67(2), 238–248.CrossRefGoogle Scholar
  42. Heinrich, C. J. (2007). Evidence-based policy and performance management—challenges and prospects in two parallel movements. American Review of Public Administration, 37(3), 255–277.CrossRefGoogle Scholar
  43. Holloway, J. (2009). Performance management from multiple perspectives; taking stock. International Journal of Productivity and Performance Management, 58(4), 391–399.CrossRefGoogle Scholar
  44. Indjejikian, R., & Nanda, D. (1999). Dynamic incentives and responsibility accounting. Journal of Accounting and Economics, 27(2), 177–201.CrossRefGoogle Scholar
  45. Inkpen, A. C., & Beamish, P. W. (1994). An analysis of twenty-five years of research in the journal of international business studies. Journal of International Business Studies, 25, 703–713.CrossRefGoogle Scholar
  46. Ittner, C. D., Larcker, D. F., & Meyer, M. W. (2003). Subjectivity and the weighting of performance measures: Evidence from a balanced scorecard. Accounting Review, 78(3), 725–758.CrossRefGoogle Scholar
  47. Janakiraman, S. N., Lambert, R. A., & Larcker, D. F. (1992). An empirical investigation of the relative performance evaluation hypothesis. Journal of Accounting Research, 53–69.Google Scholar
  48. Johnson, H. T. (1981). Towards an understanding of 19th century cost accounting. Accounting Review, 56, 510–518.Google Scholar
  49. Johnson, H. T., & Kaplan, R. S. (1987). Relevance lost—the rise and fall of management accounting. Boston, MA: Harvard Business School Press.Google Scholar
  50. Judge, T. A., & Ferris, G. R. (1993). Social context of performance evaluation decisions. Academy of Management Journal, 36(1), 80–105.CrossRefGoogle Scholar
  51. Kaplan, R. S. (1983). Measuring manufacturing performance: A new challenge for management accounting research. Accounting Review, 18, 686–705.Google Scholar
  52. Kaplan, R. S. (1984). The evolution of management accounting. Accounting Review, 59, 390–418.Google Scholar
  53. Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—measures that drive performance. Harvard Business Review, 70, 71–79.Google Scholar
  54. Kaplan, R. S., & Norton, D. P. (1996a). The balanced scorecard. Boston, MA: The Harvard University Press.Google Scholar
  55. Kaplan, R. S., & Norton, D. P. (1996b). Translating strategy into action: The balanced scorecard. Boston, MA: Harvard Business School Press.Google Scholar
  56. Keegan, D. P., Eiler, R. G., & Jones, C. R. (1989). Are your performance measures obsolete? Management Accounting, 70, 45–50.Google Scholar
  57. Lambert, R. A. (2001). Contracting theory and accounting. Journal of Accounting and Economics, 32(1–3), 3–87.CrossRefGoogle Scholar
  58. Langfield-Smith, K. (1997). Management control systems and strategy: A critical review. Accounting, Organizations and Society, 22(2), 207–232.CrossRefGoogle Scholar
  59. Lebart, L., Morineau, A., & Warwick, K. M. (1984). Multivariate descriptive statistical analysis: Correspondence analysis and related techniques for large matrices. New York: Wiley.MATHGoogle Scholar
  60. Lebas, M. J. (1995). Performance measurement and performance management. International Journal of Production Economics, 41(1), 23–35.CrossRefGoogle Scholar
  61. Lipe, M. G., & Salterio, S. E. (2000). The balanced scorecard: Judgemental effects of common and unique performance measures. Accounting Review, 75(3), 283–298.CrossRefGoogle Scholar
  62. Marr, B., & Schiuma, G. (2003). Business performance measurement—past, present and future. Management Decision, 41(8), 680–687.CrossRefGoogle Scholar
  63. Milne, M. J., & Adler, R. W. (1999). Exploring the reliability of social and environmental disclosures content analysis. Accounting, Auditing and Accountability Journal, 12(2), 237–256.CrossRefGoogle Scholar
  64. Mol, N. P., & de Kruijf, J. A. M. (2004). Performance management in Dutch central government. International Review of Administrative Sciences, 70(1), 33–50.CrossRefGoogle Scholar
  65. Neely, A. (1999). The performance measurement revolution: Why now and what next? International Journal of Operations and Production Management, 19, 205–228.CrossRefGoogle Scholar
  66. Neely, A. (2002). Business performance measurement: Theory and practice. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  67. Neely, A. (2005). The evolution of performance measurement research: Developments in the last decade and a research agenda for the next. International Journal of Operations and Production Management, 25(12), 1264–1277.CrossRefGoogle Scholar
  68. Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design—a literature review and research agenda. International Journal of Operations and Production Management, 15, 80–116.CrossRefGoogle Scholar
  69. Neely, A. D., Kennerley, M., & Martinez, V. (2004). Does the balanced scorecard work: An empirical investigation. In Proceedings of the 4th international conference on performance measurement. Edinburgh.Google Scholar
  70. Nerur, S. P., Rasheed, A. A., & Natarajan, V. (2007). The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29(3), 319–336.CrossRefGoogle Scholar
  71. Norman, R., & Gregory, R. (2003). Paradoxes and pendulum swings: Performance management in New Zealand’s public sector. Australian Journal of Public Administration, 62(4), 35–49.CrossRefGoogle Scholar
  72. Ramos-Rodriguez, A. R., & Ruiz-Navarro, J. (2004). Changes in the intellectual structure of strategic management research: A bibliometric study of the Strategic Management Journal, 1980–2000. Strategic Management Journal, 25(10), 981–1004.CrossRefGoogle Scholar
  73. Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organisational performance: towards methodological best practice. Journal of Management, 35, 718–804.CrossRefGoogle Scholar
  74. Ridgway, V. F. (1956). Dysfunctional consequences of performance measurements. Administrative Science Quarterly, 1(2), 240–247.CrossRefGoogle Scholar
  75. Rugg, G., & McGeorge, P. (1997). The sorting techniques: A tutorial paper on card sorts, picture sorts and item sorts. Expert Systems, 14(2), 80–93.CrossRefGoogle Scholar
  76. Schay, B. W. (1993). In search of the Holy-Grail—lessons in performance management. Public Personnel Management, 22(4), 649–668.CrossRefGoogle Scholar
  77. Selden, S. C., Ingraham, P. W., & Jacobson, W. (2001). Human resource practices in state government: Findings from a national survey. Public Administration Review, 61(5), 598–607.CrossRefGoogle Scholar
  78. Shingler, J., Van Loon, M. E., Alter, T. R., & Bridger, J. C. (2008). The importance of subjective data for public agency performance evaluation. Public Administration Review, 68(6), 1101–1111.CrossRefGoogle Scholar
  79. Slack, N. (1983). Flexibility as a manufacturing objective. International Journal of Operations and Production Management, 3, 4–13.CrossRefGoogle Scholar
  80. Sloan, R. G. (1993). Accounting earnings and top executive compensation. Journal of Accounting and Economics, 16(1–3), 55–100.CrossRefGoogle Scholar
  81. Stewart, J., & Walsh, K. (1992). Change in the management of public-services. Public Administration, 70(4), 499–518.CrossRefGoogle Scholar
  82. Taticchi, P., Tonelli, F., & Cagnazzo, L. (2010). Performance measurement and management: A literature review and a research agenda. Measuring Business Excellence, 14(1), 4–18.CrossRefGoogle Scholar
  83. Uysal, Ö. O. (2010). Business ethics research with an accounting focus: A bibliometric analysis from 1988 to 2007. Journal of Business Ethics, 93(1), 137–160.CrossRefGoogle Scholar
  84. Waldman, D. A. (1994). The contributions of total quality management to a theory of work performance. Academy of Management Review, 19(3), 510–536.Google Scholar
  85. Williams, D. W. (2002). Before performance measurement. Administrative Theory and Praxis, 24, 457–486.Google Scholar
  86. Williams, D. W. (2003). Measuring government in the early twentieth century. Public Administration Review, 63, 643–659.CrossRefGoogle Scholar
  87. Williams, D. W. (2004). Evolution of performance measurement until 1930. Administration and Society, 31, 131–165.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  • Corrado Cuccurullo
    • 1
  • Massimo Aria
    • 2
  • Fabrizia Sarto
    • 3
  1. 1.Department of Economics and ManagementSeconda Università di NapoliCapuaItaly
  2. 2.Department of Economics and StatisticsUniversità degli Studi di Napoli Federico IINaplesItaly
  3. 3.Department of Economics, Management, InstitutionsUniversità degli Studi di Napoli Federico IINaplesItaly

Personalised recommendations