Employee polling, productivity, knowledge sharing, Guttman-Poll, business case
The input from managers and employees is vital for strategic decision-making. Yet, these people already have enough on their plates if not overwhelmed by their daily to-do lists. We measured how employees in an organizational transformation could save time by stopping to work on non-priorities and stopping to reinvent the wheel by sharing knowledge. First, we designed a new survey scale replacing a Likert survey to ask people for input objectively, reducing interpretation bias. Next, we analyzed survey input from over 32,000 respondents in more than 900 teams in 150 different organization transformations. To free up time, we compared were respondents' planned improvement deviated from their management priorities. To work smarter, we focused on knowledge sharing: how could one employee that already had improved on a specific topic help a colleague that still had to improve? On average, we found a productivity increase of 75 hours, or €2,500.- per respondent. This productivity increase of 75 hours required two things: an average time investment per respondent of max. 15 minutes to answer a questionnaire and an algorithm to indicate 1.) what priorities to focus on and 2.) which colleagues could help with each of these.
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- Ahrens, T., & Chapman, C. S. (2006). Doing qualitative field research in management accounting - positioning data to contribute to theory. Accounting, Organizations and Society, 31, 819-841. DOI: 10.1016/j.aos.2006.03.007
- Barr, C. D., Spitzmuller, C., & Stuebing, K. K. (2008). Too stressed out to participate. Examining the relation between stressors and survey response behavior. Journal of Occupational Health Psychology, 13(3), 232-243. https://doi.org/10.1037/1076-8998.13.3.232 DOI: 10.1037/1076-8998.13.3.232
- Croteau, A., Dyer, L., & Miguel M. (2010). Employee reactions to paper and electronic surveys: An experimental comparison. IEEE Transactions on Professional Communication, 53(3), 249-259.
- Diamond, I. D., McDonald, J.W., & Shah, I.H. (1986). Proportional hazards models for current status data: application to the study of age at weaning differentials in Pakistan. Demography 23(4), 607-620. DOI: 10.2307/2061354
- Donaldson, S. I., & Grans-Vallone, E. J. (2002). Understanding self-report bias in organizational behavior research. Journal of Business and Psychology 17(2), 245-260.
- Falconer, D. J., & Hodgett, R. A. (1999). Why executives don't respond to your survey. In P. Yoong,
- B. Hope (Eds.), Proceedings of the 10th Australasian Conference on Information Systems: 1-3 December 1999 (pp. 279-285). School of Communications and Information Management.
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.2.5712&rep=rep1&type=pdf
- Fauth, T., Hattrup, K., Mueller, K., & Roberts, B. (2013). Non-response in employee attitude surveys: A group-level analysis. Journal of Business and Psychology, 28(1), 1-16.
- https://doi.org/10.1007/s10869-012-9260-y DOI: 10.1007/s10869-012-9260-y
- Foster Thompson, L., & Surface, E. A. (2007). Employee surveys administered online: Attitudes toward the medium, non-response, and data representativeness. Organizational Research Methods, 10(2), 241-261.
- https://doi.org/10.1177/1094428106/294696
- Frese, M., & Zapf, D. (1988). Methodological issues in the study of work stress: Objective vs subjective measurement of work stress and the question of longitudinal studies. In: C. L. Cooper, &
- R. Payne (Eds.), Causes, Coping, and Consequences of Stress at Work (pp. 375-411). Wiley & Sons, Chichester.
- Guttman, L. (1950). Chs. 2, 3, 6, 8 and 9 in SA Stauffer, L. Guttman, EA Suchman, PF Lazarsfeld, SA Star and JA Clausen. 1950. Studies in Social Psychology in World War II, 4, 46-90.
- Haas, M. R., & Hansen, M. T. (2007). Different knowledge, different benefits: Toward a productivity perspective on knowledge sharing in organizations. Strategic Management Journal, 28(11), 11331153.
- https://doi.org/10.1002/smj.631 DOI: 10.1002/smj.631
- Hodson, T., Schwartz, J., van Berkel, A., & Otten, I. W. (2014). The overwhelmed employee: Simplify the work environment. In J. Schwartz, J. Bersin, & B. Pelster (Eds.), Global human capital trends 2014: Engaging the 21st-century workforce (pp. 97-102). Deloitte University Press.
- Kang, Y., Kim, S., & Chang, G. (2008). The impact of knowledge sharing on work performance: An empirical analysis of the public employees' perceptions in South Korea. International Journal of Public Administration, 31(14), 1548-1568.
- Kelly, E.L., & Moen, P. (2020). Overload: How good jobs went bad and what we can do about it. Princeton University Press.
- Kronos. (2016). The employee burnout crisis [White Paper]. Kronos Incorporated.
- https://www.kronos.com/resources/employee-burnout-crisis
- Oye, N. D., Salleh, M., & Iahad, N. A. (2011). Knowledge sharing in workplace: Motivators and demotivators. International Journal of Managing Information Technology, 3(4), 71-84.
- Perlow, L. A., Hadley, C. N., & Eun, E. (2017). Stop the meeting madness: How to free up time for meaningful work. Harvard Business Review, 95(4), 62-69. Product #: R1704C-PDF-ENG
- Pfeffer, J. (2018). Dying for a paycheck: How modern management harms employee health and company performance and what we can do about it. HarperCollins Publishers.
- Plewis, I., & Mason, P. (2007). What works and why: combining quantitative and qualitative approaches in large-scale evaluations. International Journal of Social Research Methodology, 8(3), 185-194.
- DOI: 10.1080/13645570500154659
- Poleacovschi, C., Javernick-Will, A., & Tong, T. (2017). The link between knowledge sharing connections and employee time savings: A social network analysis. Construction Management and Economics, 35(8-9), 455-467. DOI: 10.1080/01446193.2017.1287414 DOI: 10.1080/01446193.2017.1287414
- Robinson, B. (2019). Two-thirds of workers experienced burnout this year: How to reverse the trend in 2020. Forbes. https://www.forbes.com/sites/bryanrobinson/2019/12/08/two-thirds- of-workers-experienced-burnout-this-year-how-to-reverse-the-trend-in-2020/?sh=7436751a7974
- Rogelberg, S. G., Luong, A., Sederburg, M. E., & Cristol, D. S. (2000). Employee attitude surveys: Examining the attitudes of noncompliant employees. Journal of Applied Psychology, 85(2), 284293.
- https://doi.org/10.1037/0021-9010.85.2.284 DOI: 10.1037/0021-9010.85.2.284
- Rose, D. S., Sidle, S. D., & Griffith, K. H. (2007). A penny for your thoughts: Monetary incentives improve response rates for company-sponsored employee surveys. Organizational Research
- Methods, 10(2), 225-240.
- Saleh, A., & Bista, K. (2017). Examining factors impacting online survey response rates in educational research: Perceptions of graduate students. Journal of Multidisciplinary Evaluation, 13(29), 63-74. https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/487https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/487
- Uhlaner, L. M. (2002). The use of the Guttman scale in development of a family business index. (No. H200203). EIM Business and Policy Research.
- Van de Poll, J. M. (2021). An Alternative to the Likert Scale When Polling Employees. International Journal of Business and Management, 9(5), 239-244.
- Van de Poll, J. M. (2018). Ambition patterns in strategic decision-making, Doctor of Philosophy, Industrial Engineering and Innovation Sciences, Bilthoven.
- Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. https://doi.org/10.1016/j.hrmr.2009.10.001
- DOI: 10.1016/j.hrmr.2009.10.001
- Wolfe, C., & Loraas, T. (2008). Knowledge sharing: The effects of incentives, environment, and person. Journal of Information Systems, 22(2), 53-76.