Skip to main content

An Investigation into the Relationship of Strategic Planning Practices and Organizational Performance Using Advanced Data Mining Techniques

  • Conference paper
  • First Online:
Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

Included in the following conference series:

  • 2200 Accesses

Abstract

This paper presents an investigation of the strategic planning practices of small businesses in Rotorua. The Rotorua district has a population of around 70,000 residents, located in the heart of New Zealand’s North Island. Tourism is Rotorua’s largest employer contributing around $593 million per year, or 10% of the district’s economy. The strong link between planning and performance is understood for larger organisations but less so for small and medium sized firms. This study explores the degree of strategic planning undertaken by Rotorua-based businesses. A combination of quantitative and qualitative data collection via a structured questionnaire and a semi-structured interview, comprised the research methodology. Collected data was analyzed using advanced machine learning (classification) techniques. Findings suggest, a firm’s industry sector influences the degree of formal planning. Other factors that influence the degree of planning formality include the age of the business, annual revenue, and the number of employees. More significantly, this study observes that formal business training and an age of a business are two features responsible for separating more formal planners from less formal planners.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baird, L.S., Lyles, M.A., Orris, J.B.: Formalised planning in small business: increasing strategic choices. J. Small Bus. Manag. 32(1), 48–59 (1994)

    Google Scholar 

  2. Schoeffler, S., Buzzell, R.D., Heany, D.: Impact of strategic planning on profit performance. Harv. Bus. Rev. 137–145 (1974)

    Google Scholar 

  3. O’Regan, N., Ghobadian, A.: Strategic planning – a comparison of high and low technology manufacturing small firms. J.: Technovation 25(10), 1107–1117 (2005)

    Google Scholar 

  4. Verreynne, M.: Strategy-making process and firm performance in small firms. enterprise and innovation. Auckland University of Technology, Faculty of Business (2005). ISSN 1176-1997, Paper 20-2004

    Google Scholar 

  5. Schwenk, C.R., Shrader, C.B.: Effects of formal strategic planning on financial performance in small firms: a meta-analysis. Entrep. Theory Pract. 17(3), 53–64 (1993)

    Google Scholar 

  6. Wang, C., Walker, E., Redmond, J.: Explaining the lack of strategic planning in SMEs: the importance of owner motivation. Int. J. Organ. Behav. 12(1), 1–16 (2007)

    Google Scholar 

  7. Bracker, J.S., Pearson, J.N.: Planning and financial performance of small, mature firms. Strateg. Manag. J. 7(6), 503–522 (1986)

    Article  Google Scholar 

  8. Cox, C., Vos, E.: Small business failure rates and the New Zealand retail sector. Small Enterp. Res. 13(2), 46–59 (2005)

    Article  Google Scholar 

  9. Clark, D.N.: Strategic management tool usage: a comparative study. Strateg. Change 6(7), 417–427 (1997)

    Article  Google Scholar 

  10. Robinson, R., Pearce, J.: Research thrusts in small firm strategic planning. Acad. Manag. Rev. 9(1), 128–137 (1984)

    Google Scholar 

  11. Holte, R.C.: Very simple classification rules perform well on most commonly used datasets. Mach. Learn. 11, 63–91 (1993)

    Article  MATH  Google Scholar 

  12. Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization. In: 15th International Conference on Machine Learning, pp. 144–151 (1998)

    Google Scholar 

  13. Stefanowski, J.: The rough set based rule induction technique for classification problems. In: 6th European Congress on Intelligent Techniques and Soft Computing, pp. 109–113 (1998)

    Google Scholar 

  14. Quinlan, R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo (1993)

    Google Scholar 

  15. Landwehr, N., Hall, M., Frank, E.: Logistic model trees. Mach. Learn. 95(1–2), 161–205 (2005)

    Article  MATH  Google Scholar 

  16. Wiklund, J., Shepherd, D.: Entrepreneurial orientation and small business performance: a configurational approach. J. Bus. Ventur. 20, 71–91 (2005)

    Article  Google Scholar 

  17. Haber, S., Reichel, A.: The cumulative nature of the entrepreneurial process: the contribution of human capital, planning an environmental resources to small venture performance. J. Bus. Ventur. 22, 119–145 (2007)

    Article  Google Scholar 

  18. Baltar, F.: A suitable “GPS” for SME’s: the strategic planning and organisational learning nexus. J. Knowl. Manag. Econ. Inf. Technol. 3(2) (2013)

    Google Scholar 

  19. Perry, S.: The relationship between written business plans and the failure of small businesses in the U.S. J. Small Bus. Manag. 39(3), 201–208 (2001)

    Article  Google Scholar 

  20. Bracker, J., Keats, B., Pearson, J.: Planning and financial performance among small firms in a growth industry. Strateg. Manag. J. 9(6), 591–603 (1988)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philip Bright .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Bright, P., Ahmad, W., Zahra, U. (2017). An Investigation into the Relationship of Strategic Planning Practices and Organizational Performance Using Advanced Data Mining Techniques. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54430-4_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics