Routine and nonroutine performance information: an assessment about substitution and complementarity

References

• Ammons, D. N., and W. C. Rivenbark. 2008. “Factors Influencing the Use of Performance Data to Improve Municipal Services: Evidence from the North Carolina Benchmarking Project.” Public Administration Review 68 (2): 304–318. doi:10.1111/j.1540-6210.
   Web of Science ®Google Scholar
• Andrews, R. 2010. “Organizational Social Capital, Structure and Performance.” Human Relations 63 (5): 583–608. doi:10.1177/0018726709342931.
   Web of Science ®Google Scholar
• Andrews, R. 2011. “Exploring the Impact of Community and Organizational Social Capital on Government Performance: Evidence from England.” Political Research Quarterly 64 (4): 938–949. doi:10.1177/1065912910381649.
   Web of Science ®Google Scholar
• Askim, J., Å. Johnsen, and K. A. Christophersen. 2007. “Factors behind Organizational Learning from Benchmarking: Experiences from Norwegian Municipal Benchmarking Networks.” Journal Of Public Administration Research and Theory 18 (2): 297-320. doi:10.1093/jopart/mum012.
   Web of Science ®Google Scholar
• Behn, R. D. 2003. “Why Measure Performance? Different Purposes Require Different Measures.” Public Administration Review 63 (5): 586–606. doi:10.1111/1540-6210.00322.
   Web of Science ®Google Scholar
• Chyi, H. I., and D. L. Lasorsa. 2002. “An Explorative Study on the Market Relation between Online and Print Newspapers.” The Journal of Media Economics 15 (2): 91–106. doi:10.1207/S15327736ME1502_2.
   Web of Science ®Google Scholar
• Cuganesan, S., A. Hart, and C. Steele. 2017. “Managing Information Sharing and Stewardship for Public-sector Collaboration: A Management Control Approach.” Public Management Review 19 (6): 862-879. doi:10.1080/14719037.2016.1238102.
   Web of Science ®Google Scholar
• Dimmick, J., and E. Rothenbuhler. 1984. “The Theory of the Niche: Quantifying Competition among Media Industries.” Journal Of Communication 34 (1): 103-119. doi:10.1111/j.1460-2466.1984.tb02988.x.
   Web of Science ®Google Scholar
• Dimmick, J. W. 2002. Media Competition and Coexistence: The Theory of the Niche. New York, NY: Routledge.
   Google Scholar
• Dutta-Bergman, M. J. 2004. “Complementarity in Consumption of News Types across Traditional and New Media.” Journal of Broadcasting & Electronic Media 48 (1): 41–60. doi:10.1207/s15506878jobem4801_3.
   Web of Science ®Google Scholar
• Edwards, A. L. 1957. The Social Desirability Variable in Personality Assessment and Research. Ft. Worth, TX: Dryden Press.
   Google Scholar
• Enticott, G., G. A. Boyne, and R. M. Walker. 2009. “The Use of Multiple Informants in Public Administration Research: Data Aggregation Using Organizational Echelons.” Journal of Public Administration Research and Theory 19 (2): 229–253. doi:10.1093/jopart/mun017.
   Web of Science ®Google Scholar
• Hatry, H. P. 1999. Performance Measurement: Getting Results. Washington, DC: The Urban Institute.
   Google Scholar
• Hatry, H. P. 2006. Performance Measurement: Getting Results. Washington, DC: The Urban Institute.
   Google Scholar
• Hicks, J. R. 1939. Value and Capital: An Inquiry into Some Fundamental Principles of Economic Theory. Oxford: Clarendon Press.
   Google Scholar
• Himmelweit, H. T., Α. Ν. Oppenheim, and P. Vance. 1958. Television and the Child. London: Oxford University Press.
   Google Scholar
• Holmbeck, G. N., S. T. Li, J. V. Schurman, D. Friedman, and R. M. Coakley. 2002. “Collecting and Managing Multisource and Multimethod Data in Studies of Pediatric Populations.” Journal of Pediatric Psychology 27 (1): 5–18.
   PubMed Web of Science ®Google Scholar
• Hull, K., and N. P. Lewis. 2014. “Why Twitter Displaces Broadcast Sports Media: A Model.” International Journal of Sport Communication 7 (1): 16–33. doi:10.1123/IJSC.2013-0093.
   Google Scholar
• Hutchinson, G. E. 1957. Concluding Remarks. Cold Spring Harbor Symposia on Quantitative Biology22: 415–442. doi:10.1101/SQB.1957.022.01.039
   Google Scholar
• Ivancevich, J. M., and J. T. McMahon. 1982. “The Effects of Goal Setting, External Feedback, and Self-Generated Feedback on Outcome Variables: A Field Experiment.” Academy of Management Journal 25 (2): 359–372.
   Web of Science ®Google Scholar
• Kayany, J. M., and P. Yelsma. 2000. “Displacement Effects of Online Media in the Socio-Technical Contexts of Households.” Journal of Broadcasting & Electronic Media 44 (2): 215–229. doi:10.1207/s15506878jobem4402_4.
   Web of Science ®Google Scholar
• Kim, J. S., and W. C. Hamner. 1976. “Effect of Performance Feedback and Goal Setting on Productivity and Satisfaction in an Organizational Setting.” Journal of Applied Psychology 61 (1): 48. doi:10.1037/0021-9010.61.1.48.
   Web of Science ®Google Scholar
• Kotter, J. P. 1990. How Leadership Differs from Management, 59–68. Vol. 240. New York: Free Press.
   Google Scholar
• Kroll, A. 2013. “The Other Type of Performance Information: Nonroutine Feedback, Its Relevance and Use.” Public Administration Review 32 (2): 265–276. doi:10.1111/j.1540-6210.2012.02648.x.
   Web of Science ®Google Scholar
• Kroll, A. 2015. “Drivers of Performance Information Use: Systematic Literature Review and Directions for Future Research.” Public Performance & Management Review 38: 459–486. doi:10.1080/15309576.2015.1006469.
   Web of Science ®Google Scholar
• Kroll, A., and M. Tantardini. 2017. “Motivating and Retaining Government Employees: The Role of Organizational Social Capital.” International Public Management Journal 1–22. doi:10.1080/10967494.2017.1367341.
   Google Scholar
• Levins, R. 1968. Evolution in Changing Environments: Some Theoretical Explorations. Princeton, NJ: Princeton University Press.
   Google Scholar
• Leana, C. R., and F. K. Pil. 2006. “Social Capital and Organizational Performance.” Organization Science 17 (3): 353–366. doi:10.1287/orsc.1060.0191.
   Web of Science ®Google Scholar
• Leana, C. R., and H. J. Van Buren III. 1999. “Organizational Social Capital and Employment Practices.” The Academy of Management Review 24 (3): 538–555. doi:10.2307/259141.
   Web of Science ®Google Scholar
• Liguori, M., M. Sicilia, and I. Steccolini. 2012. “Some Like It Non-financial… Politicians’ and Managers’ Views on the Importance of Performance Information.” Public Management Review 14 (7): 903-922. doi:10.1080/14719037.2011.650054.
   Web of Science ®Google Scholar
• Lin, C., M. B. Salwen, B. Garrison, and P. D. Driscoll. 2005. “Online News as a Functional Substitute for Offline News.” In Online News and the Public, edited by M. B. Salwen, B. Garrison and P. D. Driscoll, 237–255. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Lin, C. A. 1993. “Exploring the Role of Vcr Use in the Emerging Home Entertainment Culture.” Journalism Quarterly 70 ((4):): 833–842. doi:10.1177/107769909307000409.
   Web of Science ®Google Scholar
• Lowi, T. J. 1964. “American Business, Public Policy, Case-Studies, and Political Theory.” World Politics 16 (4): 677–715. doi:10.2307/2009452.
   Web of Science ®Google Scholar
• MacRae, D., and J. A. Wilde. 1985. Policy Analysis for Public Decisions. Lanham, MD: University Press of America.
   Google Scholar
• Meier, K. J., and L. J. O’Toole Jr. 2013. “I Think (I Am Doing Well), Therefore I Am: Assessing the Validity of Administrators’ Self-Assessments of Performance.” International Public Management Journal 16 (1): 1–27. doi:10.1080/10967494.2013.796253.
   Web of Science ®Google Scholar
• Mintzberg, H. 1973. The Nature of Managerial Work. New York: Harper & Row.
   Google Scholar
• Moynihan, D. P. 2005. “Goal-Based Learning and the Future of Performance Management.” Public Administration Review 65 (2): 203–216. doi:10.1111/puar.2005.65.issue-2.
   Web of Science ®Google Scholar
• Moynihan, D. P. 2009. “Through a Glass, Darkly: Understanding the Effects of Performance Regimes.” Public Performance & Management Review 32 (4): 592–603. doi:10.2753/pmr1530-9576320409.
   Google Scholar
• Moynihan, D. P., and P. W. Ingraham. 2004. “Integrative Leadership in the Public Sector: A Model of Performance-Information Use.” Administration & Society 36 (4): 427–453. doi:10.1177/0095399704266748.
   Web of Science ®Google Scholar
• Moynihan, D. P., and P. W. Ingraham. 2004. “Integrative Leadership in The Public Sector: A Model of Performance-information Use.” Administration & Society 36 (4): 427-453. doi:10.1177/0095399704266748.
   Web of Science ®Google Scholar
• Moynihan, D. P., and S. Lavertu. 2012. “Does Involvement in Performance Management Routines Encourage Performance Information Use? Evaluating GPRA and PART.” Public Administration Review 72 (4): 592–602. doi:10.1111/puar.2012.72.issue-4.
   Web of Science ®Google Scholar
• Moynihan, D. P., and S. K. Pandey. 2010. “The Big Question for Performance Management: Why Do Managers Use Performance Information?” Journal of Public Administration Research and Theory 20 (4): 849–866. doi:10.1093/jopart/muq004.
   Web of Science ®Google Scholar
• Moynihan, D. P., S. K. Pandey, and B. E. Wright. 2012. “Prosocial Values and Performance Management Theory: Linking Perceived Social Impact and Performance Information Use.” Governance 25 (3): 463–483. doi:10.1111/gove.2012.25.issue-3.
   Web of Science ®Google Scholar
• Nahapiet, J., and S. Ghoshal. 1998. “Social Capital, Intellectual Capital, and the Organizational Advantage.” The Academy of Management Review 23 (2): 242–266. doi:10.2307/259373.
   Web of Science ®Google Scholar
• Nimrod, G. 2017. “Selective Motion: Media Displacement among Older Internet Users.” Information, Communication & Society 1–12. doi:10.1080/1369118X.2017.1414865.
   Google Scholar
• O’Reilly, C. A. 1977. “Supervisors and Peers as Information Sources, Group Supportiveness, and Individual Decision-Making Performance.” Journal of Applied Psychology 62 (5): 632. doi:10.1037/0021-9010.62.5.632.
   Web of Science ®Google Scholar
• Ouchi, W. 1979. “A Conceptual Framework for the Design of Organizational Control Mechanisms.” Management Science 25 (9): 833–848. doi:10.1287/mnsc.25.9.833.
   Web of Science ®Google Scholar
• Payne, R. L., and R. Mansfield. 1973. “Relationships of Perceptions of Organizational Climate to Organizational Structure, Context, and Hierarchical Position.” Administrative Science Quarterly 515–526. doi:10.2307/2392203.
   Web of Science ®Google Scholar
• Petty, R. E., and J. T. Cacioppo. 1986. “The Elaboration Likelihood Model of Persuasion.” Advances in Experimental Social Psychology 19: 123–205.
   Google Scholar
• Porat, A. M., and J. A. Haas. 1969. “Information Effects on Decision‐Making.” Systems Research and Behavioral Science 14 (2): 98–104. doi:10.1002/(ISSN)1099-1743.
   Google Scholar
• Ramirez Jr, A., J. Dimmick, J. Feaster, and S. F. Lin. 2008. “Revisiting Interpersonal Media Competition: The Gratification Niches of Instant Messaging, E-Mail, and the Telephone.” Communication Research 35 (4): 529–547. doi:10.1177/0093650208315979.
   Web of Science ®Google Scholar
• Schramm, W., J. Lyle, and E. B. Parker. 1961. Television in the Lives of Our Children. Stanford: Stanford University Press.
   Google Scholar
• Simons, R. 1995. Levers of Control: How Managers Use Innovative Control Systems to Drive Strategic Renewal. Boston, MA: Harvard Business School Press.
   Google Scholar
• Stempel III, G. H., T. Hargrove, and J. P. Bernt. 2000. “Relation of Growth of Use of the Internet to Changes in Media Use from 1995 to 1999.” Journalism & Mass Communication Quarterly 77 (1): 71-79. doi:10.1177/107769900007700106.
   Web of Science ®Google Scholar
• Suchman, M. C. 1995. “Managing Legitimacy: Strategic and Institutional Approaches.” Academy of Management Review 20 (3): 571–610. doi:10.5465/amr.1995.9508080331.
   Web of Science ®Google Scholar
• Sun, R., and G. G. Van Ryzin. 2014. “Are Performance Management Practices Associated with Better Outcomes? Empirical Evidence from New York Public Schools.” The American Review of Public Administration 44 (3): 324–338. doi:10.1177/0275074012468058.
   Web of Science ®Google Scholar
• Tantardini, M., and A. Kroll. 2015. “The Role of Organizational Social Capital in Performance Management.” Public Performance & Management Review 39 (1): 83–99. doi:10.1080/15309576.2016.1071163.
   Web of Science ®Google Scholar
• Tsao, J. C., and S. D. Sibley. 2004. “Displacement and Reinforcement Effects of the Internet and Other Media as Sources of Advertising Information.” Journal of Advertising Research 44 (1): 126–142. doi:10.1017/S0021849904040073.
   Web of Science ®Google Scholar
• Uphoff, N., and C. M. Wijayaratna. 2000. “Demonstrated Benefits from Social Capital: The Productivity of Farmer Organizations. In Gal Oya, Sri Lanka.” World Development 28 (11): 1875–1890. doi:10.1016/S0305-750X(00)00063-2.
   Web of Science ®Google Scholar
• Van Dooren, W., G. Bouckaert, and J. Halligan. 2010. Performance Management in the Public Sector. London: Routledge.
   Google Scholar
• Van Dooren, W., and S. Van de Walle, Eds.. 2016. Performance Information in the Public Sector: How It Is Used. Basingstoke, UK: Palgrave.
   Google Scholar
• Webster, J. G., and J. Wakshlag. 1985. “Measuring Exposure to Television.” In Selective Exposure to Communication, edited by D. Zillmann and J. Bryant, 35–62. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Weiss, C. 1981. “Use of Social Science Research in Organizations: The Constrained Repertoire Theory.” In Organization and the Human Services, edited by H. Stein, 180–204. Philadelphia: Temple University Press.
   Google Scholar
• Zillmann, D., and J. Bryant. 1985. “Affect, Mood, and Emotion as Determinants of Selective Exposure”. In Selective Exposure to Communication, edited by D. Zillmann and J. Bryant, 157–190. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar