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Moving towards a control technique to help small firms monitor and control key marketing parameters: a survival aid

Reynolds, Paul Lewis, Day, John and Lancaster, Geoffrey A. (2001) Moving towards a control technique to help small firms monitor and control key marketing parameters: a survival aid. Management decision, 39 (2). pp. 113-120. ISSN 0025-1747

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This article considers that one way
to help the small- and medium-sized
enterprise (SME) to survive is to
offer it a robust but simple
monitoring and control technique
that would help it manage the
business effectively and this, in
turn, should help to increase its
chances of survival. This technique
should also be of interest to all
people involved with monitoring or
advising a large number of small
enterprises or business units within
a larger organization. For example,
a bank manager or a small business
consultant responsible for a
portfolio of firms. The authors
utilize process control techniques
more often used in production and
inventory control systems to
demonstrate how one might
monitor the marketing ``health'' of
small firms.

Item Type: Article
Additional Information: © MCB University Press
Uncontrolled Keywords: Small to medium-sized enterprises, Marketing management, Control, Business analysis, Consultancy
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HG Finance
Schools: Huddersfield Business School

Batty, M. (1969), ``Monitoring an exponential
smoothing forecasting system'', Operational
Research Quarterly, Vol. 20 No. 3, pp. 319-25.
Bauman, W.S. (1965), ``The less popular stocks
versus the most popular stocks'', Financial
Analysis Journal, Vol. 21, pp. 61-9.
Brown, R.G. (1962), reported in Brown. R.G. (1963),
Smoothing, Forecasting and Prediction of
Discrete Time Series, Prentice-Hall, New York,
Churchill, N. and Lewis, V. (1983), ``The five
stages of small business growth'', Harvard
Business Review, Vol. 61 No. 3, pp. 30-50.
Cressy, D. (1996), ``Small business failure: failure
to fund or failure to learn by doing'', ICSB 41st
World Conference, Stockholm, pp. 385-410.
Department of Trade and Industry (1999),
reported in Quarterly Report on Small
Business Statistics, July, Domestic Finance
Division, Bank of England, London, p. 35.
Eggers, J.H., Leahy, T. and Churchill, N. (1994),
``Stages of small business growth revisited:
insights into growth path and leadership/
management skills in low- and high-growth
companies'', Frontiers of Entrepreneurship
Research, Babson College, Boston, MA,
pp. 131-44.
Gardner, E.S. (1983), ``Automatic monitoring of
forecasting errors'', Journal of Forecasting,
Vol. 2, pp. 1-21.
Geurts, M.D. and Ibrahim, I.B. (1975), ``Comparing
the Box-Jenkins approach with the
exponentially smoothed forecasting model ±
application to Hawaii tourists'', Journal of
Marketing Research, Vol. 12, pp. 182-8.
Hanks, S.H., Watson, C.J., Jansen, E. and
Chandler, G. (1993), ``Tightening the life-cycle
construct: a taxonomic study of growth stage
configurations in high technology
organizations'', Entrepreneurship Theory and
Practice, Winter, pp. 5-29.
Hogarth, R.M. (1975), ``Cognitive processes and
assessment of subjective probability
distributions'', Journal of the American
Statistical Association, Vol. 70,
pp. 271-90.
Holt, C.C. (1957), ``Forecasting seasonals by
exponentially weighted moving average'',
Office of Naval Research Memo, No. 52.
Mabert, V.A. (1975), ``Statistical versus salesforce
executive opinion short-range forecasts: a
time series analysis case study'', working
paper, Krannert Graduate School, Purdue.
McKenzie. E. (1978), ``The monitoring of
exponentially weighted forecasts'', The
Journal of the Operations Research Society,
Vol. 29, May, pp. 449-58.
Makridakis, S. and Hibon, M. (1979), ``Accuracy of
forecasting: an empirical investigation'',
Journal of the Royal Statistical Society (A),
Vol. 142 Part 2, pp. 97-145.
Makridakis, S. and Wheelwright, S.C. (1989),
Forecasting Methods for Management, 5th ed.,
John Wiley & Sons, Chichester.
Montgomery, D.C. and Johnson, L.A. (1976),
Forecasting and Time Series Analysis,
McGraw-Hill, New York, NY.
NatWest SBRT Quarterly Survey of Small
Business (1999), reported in Quarterly Report
on Small Business Statistics, July, Domestic
Finance Division, Bank of England, London,
p. 18.
Newbould, P. (1974), ``The exact likelihood
function for a mixed autoregressive moving
average process'', Biometrika, Vol. 61,
pp. 423-6.
Reid, D.J. (1969), ``A comparative study of time
series prediction techniques on economic
data'', PhD thesis, University of Nottingham,
October, p. 80.
Reynolds. P.L. (1986), ``The monitoring of short
term sales forecasts produced by exponential
smoothing'', MSc dissertation, Manchester
School of Management, UMIST, pp. 130-42.
Reynolds, P.L. and Day, J. (1996), ``A semiautomatic
scheme for monitoring the
adequacy of short-term sales Forecasts'',
Marketing Science Conference, University of
Florida, Gainesville, FL.
Reynolds, P.L. and Greatorex, M. (1988), ``The
monitoring of short-term forecasts using
exponential smoothing'', Proceedings of the
21st Annual Conference Marketing Education
Group, pp. 558-86.
Reynolds, P.L., Richards, G. and Day, J. (1995),
``Marketing management for the SME ± a
novel approach to monitoring and control'',
1995 MEG Conference, University of
Bradford, Bradford.
Sarbin, T.R. (1943), ``Contributions to the study of
actuarial and individual methods of
prediction'', American Journal of Sociology,
Vol. 48, pp. 593-602.
Scott, M. and Bruce, R. (1987), ``Five stages of
growth in small business,'' Long Range
Planning, Vol. 20 No. 10, pp. 45-52.
Slovic, P. (1972), ``Psychological study of human
judgement: implications for investment
decision making'', Journal of Finance, Vol. 27,
pp. 779-99.
Storey, D. (1994), Understanding the Small
Business Sector, International Thompson
Business Press, London.
Trigg, D.W. (1964), ``Monitoring a forecasting
system'', Operational Research Quarterly,
Vol. 15 No. 3, pp. 271-4.
Trigg, D.W. and Leach, A.G. (1967), ``Exponential
smoothing with an adaptive response rate'',
Operational Review Quarterly, Vol. 18 No. 1,
pp. 53-9.
Winter, P.R. (1960), ``Forecasting sales by
exponentially weighted moving averages'',
Management Science, Vol. 6, pp. 271-4.
Witt, S.F. and Witt, C.A. (1992), Modelling and
Forecasting Demand in Tourism, Academic
Press, London.

Depositing User: Sara Taylor
Date Deposited: 23 Feb 2007
Last Modified: 20 Jan 2018 02:05


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