Proactive Management in The Power Industry: Tool Support

Proactive Management in The Power Industry: Tool Support

L. D. Gitelman T. B. Gavrilova L. M. Gitelman, M. V. Kozhevnikov 

Department of Energy and Industrial Management Systems, Ural Federal University, Russia

Page: 
1359-1369
|
DOI: 
https://doi.org/10.2495/SDP-V12-N8-1359-1369
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
1 December 2017
| Citation

OPEN ACCESS

Abstract: 

Increasingly dynamic, non-linear and all too often chaotic changes in the global environment and tougher competition, including at the geopolitical level, call for radical transformations in strategic management of the power industry. The article provides the results of a study into proactive actions of energy company management, which are becoming increasingly important. The article offers a framework of concepts relating to proactive management and sums up ideas of a number of authors on diagnostics of weak signals as possible harbingers of threats to sustainable power industry development. The authors have determined a general approach to mechanisms of threat identification and developed methodological principles of shaping a corporate management model capable of reacting to new challenges. The article provides a thorough study of some components of the model and an assessment of factors that ensure successful implementation of the authors’ conceptual solutions in energy companies.

Keywords: 

advanced warning, challenges, proactive management, the power industry, threats, weak signals

  References

[1] Fuerth, L.S., Foresight and anticipatory governance. Foresight, 11(4), pp. 14–32, 2009. http://dx.doi.org/10.1108/14636680910982412

[2] Guston, D.H., Anticipatory governance of emerging technologies. Journal of the Korean Vacuum Society, 19(6), pp. 432–441, 2010. http://dx.doi.org/10.5757/JKVS.2010.19.6.432

[3] Ramos, J.M., Anticipatory governance: traditions and trajectories for strategic design. Journal of Futures Studies, 19(1), pp. 35–52, 2014.

[4] Ansoff, I.H., Managing strategic surprise by response to weak signals. California Management Review, 18(2), pp. 21–33, 1975. http://dx.doi.org/10.2307/41164635

[5] Ansoff, I.H., Strategic issues management. Strategic Management Journal, 1(2), pp. 131–148, 1980. http://dx.doi.org/10.1002/smj.4250010204

[6] Ansoff, I.H., Implanting strategic management, Prentice-Hall International, Englewood-Cliffs: New Jersey, p. 510, 1984.

[7] Ansoff, I.H., Strategic response in turbulent environments, European Institute for Advanced Studies in Management, 1982.

[8] Ansoff, I.H., Conseptual underpinnings of systematic strategic management. European Journal of Operational Research, 19, pp. 2–19, 1985. http://dx.doi.org/10.1016/0377-2217(85)90303-0

[9] Day, G.S. & Schoemaker, P.J.H., Peripheral vision: sensing and acting on weak signals. Long Range Planning, 37(2), pp. 117–121, 2004. http://dx.doi.org/10.1016/j.lrp.2004.01.003

[10] Day, G.S. & Schoemaker, P.J.H., Scanning the periphery. Harvard Business Review, pp. 135–148, 2005.

[11] Day, G.S. & Schoemaker, P.J.H., Peripheral vision: detecting the weak signals that will make or break your company, Harvard Business School Press: Boston, 2006.

[12] Day, G.S. & Schoemaker, P.J.H., Seeing sooner: how to scan for weak signals from the periphery. Rotman Magazine, pp. 64–68, 2008.

[13] Schoemaker, P.J.H. & Day, G.S., How to make sense of weak signals. MIT Sloan Management Review, 50(3), pp. 81–89, 2009.

[14] Day G.S. & Schoemaker, P.J.H., Are you a ‘Vigilant Leader’? MIT Sloan Management Review, 49(3), pp. 43–51, 2008.

[15] Day, G.S., Schoemaker, P.J.H. & Snyder, S.A., The vigilant organization: minding and mining the periphery. Rotman Magazine, pp. 34–40, 2010.

[16] Schoemaker, P.J.H., Day, G.S. & Snyder, S.A., Integrating organizational networks, weak signals, strategic radars and scenario planning. Technological Forecasting & Social Change, 80, pp. 815–824, 2013. http://dx.doi.org/10.1016/j.techfore.2012.10.020

[17] Coffman, B., Weak signal research, Part I-V: Introduction, available at: http://www.mgtaylor.com/mgtaylor/jotm/winter97/wsrintro.htm

[18] Molitor, G.T.T., Molitor forecasting model: key dimensions for plotting the patterns of change. Journal of Future Studies, 8(1), pp. 61–72, 2003.

[19] Molitor, G.T.T., How to anticipate public-policy changes. S.A.M. Advanced Management Journal, pp. 4–13, 1977.

[20] Molitor, G.T.T., Consumer police issues: global trends for the 1980’s. Advances in Consumer Research, 8, pp. 458–466, 1981.

[21] Kaivo-Oja, J., Weak signals analysis, knowledge management theory and systemic socio-cultural transitions. Futures, 44(3), pp. 206–217, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.003

[22] Mendonca, S., Cardoso, G. & Carca, J., The strategic strength of weak signal analysis. Futures, 44(3), pp. 218–228, 2012.

http://dx.doi.org/10.1016/j.futures.2011.10.004

[23] Rossel, P., Early detection, warnings, weak signals and seeds of change: A turbulent domain of futures studies. Futures, 44(3), pp. 229–239, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.005

[24] Jorgensen, U., Design junctions: spaces and situations that frame weak signals – the example of hygiene and hospital planning. Futures, 44(3), pp. 240–247, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.006

[25] Glassey, O., Folksonomies: spontaneous crowd sourcing with online early detection potential? Futures, 44(3), pp. 257–264, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.008

[26] Ilmola, L. & Kuusi, O., Filters of weak signals hinder foresight: monitoring weak signals efficiently in corporate decision-making. Futures, 38(8), pp. 908–924, 2006. http://dx.doi.org/10.1016/j.futures.2005.12.019

[27] Pina e Cunha, M., Clegg, S.R. & Kamoche, K., Improvisation as “real time foresight”. Futures, 44(3), pp. 265–272, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.009

[28] Hiltunen, E., Was it a wild card or just our blindness to gradual change? Journal of Futures Studies, 11(2), pp. 61–74, 2006.

[29] Kuusi, O. & Hiltunen, E., The signification process of the future sign. Journal of Futures Studies, 16(1), pp. 47–66, 2011.

[30] Hiltunen, E., Good sources of weak signals: a global study of where futurists look for weak signals. Journal of Futures Studies, 12(4), pp. 21–44, 2008.

[31] Heinonen, S. & Hiltunen, E., Creative foresight space and the futures window: using visual weak signals to enhance anticipation and innovation. Futures, 44(3), pp. 248–256, 2012. http://dx.doi.org/10.1016/j.futures.2011.10.007

[32] Hiltunen, E., Weak signals in organizational futures learning, Helsinki School of Economics, available at: http://epub.lib.aalto.fi/pdf/diss/a365.pdf

[33] Tuomo, K., Towards the dynamic paradigm of futures research. How to grasp a complex futures problem with multiple phases and multiple methods, available at: http://www.researchgate.net/publication/228727621_Towards_the_dynamic_paradigm_of_

futures_research_how_to_grasp_a_complex_futures_problem_with_multiple_phases_and_multiple_methods

[34] Laakso, K., Management of major accidents – communication challenges and solutions in the preparedness and response phases for both authorities and companies, available at: http://www.researchgate.net/publication/269995668_MANAGEMENT_OF_MAJOR_ACCIDENTS__Communication_challenges_and_solutions_in_the_preparedness_and_response_phases_for_both_authorities_and_companies

[35] Korhonen, M., Tacit knowledge and weak signals in organizational learning, available at: https://publications.theseus.fi/bitstream/handle/10024/71711/Korhonen_Mika.pdf?sequence=1

[36] Adibe, P., Competence foresight: linking the identification of HR competences and competence management alignment with business strategy, available at: http://www.doria.fi/handle/10024/104884

[37] Guillaume, E.M.E., Identifying and responding to weak signals to improve learning from experiences in high-risk industry, available at: https://www.foncsi.org/fr/recherche/axes/facteurs-reussite-REX/identifying-and-responding-to-weak-signals-to-improve-learning-from-experiences-in-high-risk-industry

[38] Mendonça, S., Cunha, M.P., Kaivo-Oja, J. & Ruff, F., Wild cards, weak signals and organizational improvisation. Futures, 36(2), pp. 201–218, 2004.

[39] Kim, S., Kwon, Y., Jeong, Y., Choi, S.-B., Park, J.-K. & Hong, S.-W., NEST: a model for detecting weak signals of emerging trends using global monitoring expert network, available at: http://ceur-ws.org/Vol-674/Paper114.pdf