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The Role of Forecasting and Its Potential for Functional Management: A Review from the Value-Chain Perspective

Fonksiyonel Yönetimde Tahminin Rolü ve Potansiyeli:Değer Zinciri Perspektifinden Bir İnceleme

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Abstract (2. Language): 
The paper discusses the potential uses of forecasting as a managerial decision-making tool in the functional management of a company from value-chain perspective. The paper first establishes and discusses the link between the functional management and forecasting function. It then discusses the potential uses of it for each managerial activity in value-chain in detail. It is pointed out that forecasting is a central managerial activity in most of the decision-making processes within value chain and potentially it hasa significant contribution to the value creation processes in companies.
Abstract (Original Language): 
Bu çalışma, yönetsel bir karar alma aracı olarak ‘tahmin’inbir işletmenin fonksiyonel yönetimindeki potansiyel kullanımlarını‘değer-zinciri’ bakış açısından tartışmaktadır. Çalışma ilk olarak fonksiyonel yönetim ile tahmin fonksiyonu arasındaki ilişkiyi ve daha sonra da ‘değer-zinciri’ndeki her bir yönetsel faaliyetteki potansiyel kullanımlarını detaylı olarak tartışmaktadır. Tahmin’in değer-zinciri içerisindeki karar-alma süreçlerinin çoğunda merkezi bir yönetsel faaliyet olduğuna ve potansiyel olarak işletmelerdeki değer yaratma süreçlerine olarak önemli bir katkısı olduğuna işaret edilmektedir.
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REFERENCES

References: 

Anvari, Mohsen (1983), “Forecasting Daily Outflows from a Bank Account,”
OMEGA: The International Journal of Management Science, 11 (3):
273-277
Bennet, D. and Eklund, D. M. (1994), “Two Basic Methods: Sharper Cash
Forecasting Raises Treasury Fortunes”, Corporate Cashflow, 15 (10),
33-N/A
Boyd, Kevin and Mabert, Vincent A. (1977), “A Two Stage Forecasting
Approach at Chemical Bank of New York for Check Processing”,
Journal of Bank Research, Summer: 101-107
Brown, R. G. (1963), Smoothing, Forecasting and Prediction of Discrete Time
Series, (N.J.: Prentice-Hall, Inc.)
Casey, C. J. and Bartczak, N. J., (1984), “Cash Flow: It’s Not the Bottom Line”,
Harvard Business Review, July/August: 61-66
Chung, Kae H., (1987), Management: Critical SuccessFactors, (USA,
Massachusetts: Allyn and Bacon,Inc.)
Dalrymple, D. J. (1987), “Sales Forecasting Practices: Results from a United
States Survey,” International Journal of Forecasting, 3: 379-391
Duran, J. A. and Flores, B. E. (1998), “ForecastingPractices in Mexican
Companies,” Interfaces, 28 (6): 56-62.
395
Emery, Gary W. (1981), “Some Empirical Evidence on the Properties of Daily
Cash Flow,” Financial Management, Spring: 21-28
Fildes, R. and Hastings, R. (1994), “The Organization and Improvement of
Market Forecasting,” The Journal of Operational Research Society, 45
(1): 1-16.
Fildes, R. and Hastings, R. (1994), “The Organization and Improvement of
Market Forecasting,” The Journal of Operational Research Society, 45
(1): 1-16
Gardner, E. S., Jr. and Diaz-Saiz, J. (2002), “Seasonal ajdustment of inventory
demand series: a case study,” International Journalof Forecasting, 18:
117-123
Hill, Charles W. L. and Jones, G. R. (1992), Strategic Management: An
Integrated Approach (U.S.A.: Houghton Mifflin Company, 2
nd
Ed.)
Johnson, E. M.; Kurtz, D. L. and Scheuing, E. E. (1994), Sales Management:
Concepts, Practices, and Cases (McGraw-Hill Series in Marketing), 2
nd
Edition, (USA, McGraw-Hill Company)
Krajewski, L. J. and Ritzman L. P. (1993), Operations Management: Strategy
and Analysis, 3
rd
Edition, (USA, Addison-Wesley Publishing Company,
Inc.)
Lewellen, Wilbur G. and Edmister, Robert O. (1973),“A General Model for
Accounts Receivable Analysis and Control,” Journal of Financial and
Quantitative Analysis, March: 195-206
Lewellen, Wilbur G. and Johnson, Robert W. (1972), “Better Way to Monitor
Accounts Receivable,” Harvard Business Review, May-June: 101-109
Maier, Steven F. and Weide, James H. Vander (1983),“What Lockbox and
Disbursement Models Really Do,” Journal of Finance,XXXVIII (2):
361-371
Maier, Steven F.; Robinson, David W. and Weide, James H. Vander (1981), “A
Short-Term Disbursement Forecasting Model,” Financial
Management, Spring: 9-20
Makridakis, S. and Hibon, M. (2000), “The M3 Competition,” International
Journal of Forecasting, 16: 451-476
Makridakis, S. ; Anderson, A. ; Carbone, R. ; Fildes, R. ; Hibon, M. ;
Lewandowski, R. ; Newton, J. ; Parzen, E. and Winkler, R. (1982),
“The Accuracy of Extrapolating (Time Series) Methods: Results of a
Forecasting Competition,” Journal of Forecasting, 1: 111-153
Makridakis, S.; Chatfield, C.; Hibon, M.; Lawrence,M.; Mills, T.; Ord K. and
Simmons, L. F. (1993), “The M-2 Competition: A Real-time
Judgmentally Based Forecasting Study,” International Journal of
Forecasting, 9: 5-23
Mentzer, J. T. and Cox, J. E., Jr. (1984), “Familiarity, Application, and
Performance of Sales Forecasting Techniques,” J. ofForecasting, 3: 27-36
Mentzer, J. T. and Cox, J. E., Jr. (1984), “Familiarity, Application, and
Performance of Sales Forecasting Techniques,” Journal of Forecasting,
3: 27-36
Miller, Tom W. and Stone, Bernell K. (1985), “DailyCash Forecasting and
Seasonal Resolution: Alternative Models and Techniques for Using
the Distribution Approach,” Journal of Financial and Quantitative
Analysis, 20 (3): 335-351
Mintzberg, H. (1978), “Patterns in Strategy Formulation,” Management
Science, 24: 934-948
Montgomery, D. C. and Mastrangelo, C. M. (1991), “Some Statistical Process
Control Methods for Autocorrelated Data”, Journal of Quality
Technology, 23: 179-193
Pate-Cornell, M. Elisabeth ; Tagaras, George and Eisenhardt, Kathleen M.
(1990), “Dynamic Optimization of Cash Flow Management
Decisions: A Stochastic Model,” IEEE Transactions on Engineering
Management, 37 (3): 203-212
Peters, T. J. and Waterman, R. H. (1982), In Searchof Excellence (New York:
Harper & Row)
Pohlman, Randolph A.; Santiago, Emmanuel S. and Market, F. Lynn (1988),
“Cash Flow Practices of Large Firms,” Financial Management,
Summer: 71-79
Polat, Cihat (2002), Cash Flow Management and Forecasting of Short-term
Cash Flows in a Bank: Issues in Forecasting Method Selection,
Unpublished PhD Thesis, Management School, University of
Lancaster, UK
Quillen, Bennet (1993), “Effective Cash Flow Forecasting Techniques,” Journal
of Cash Management, Atlanta, 13 (5): 58-N/A
Ramjee, R.;Crato, N. and Ray, B. K. (2002), “A noteon moving average
forecasts of long memory processes with an application to quality
control”, International Journal of Forecasting, 18:291-297
Rhyne, L. C. (1986), “The Relationship of StrategicPlanning to Financial
Performance,” Strategic Management Journal, 7: 432-436
Sanders, N. R. and Manrodt, K. B. (1994), “Forecasting Practices in US
Corporations: Survey Results,” Interfaces, 24 (2): 92-100
Scott, D. F. Jr. ; Moore, L. J.; Saint-Dennis, A.; Archer, E., and Taylor, B. W.
III (1979), Implementation of a Cash Budget Simulator at Air Canada,
Journal of Financial Management, Summer: 46-52
Sidford, Colleen (1997), “Designing an Effective Cash Flow Forecasting
Program,” CMA: The Management Accounting Magazine, 71 (7): 18-21
Sokol, Bruce R. (1990), “Forecasting Daily Cash Flow: An Eclectic Approach,
The Journal of Business Forecasting,” Summer: 22-26
Srinivasan, Venkat and Kim, Yong H. (1986), “Deterministic Cash Flow
Management: State of the Art and Research Directions,” OMEGA:
The International Journal of Management Science, 14(2): 145-166
Stellwagen, E. A. and Goodrich, R. L. (1997), Forecast Pro for Windows,
Business Forecasting Systems, (U.S.A.: Belmont, MA).
Stone, Bernell K. (1976), “The Payment-Pattern Approach to the Forecasting
and Control of Accounts Receivable”, Financial Management,
Autumn: 65-82
Stone, Bernell K. and Miller, Tom W. (1983), “Forecasting Disbursement
Funding Requirements: The Clearing Pattern Approach,” Journal of
Cash Management, October/November: 67-78
Stone, Bernell K. and Miller, Tom W. (1987), “DailyCash Forecasting with
Multiplicative Models of Cash Flow Patterns, Financial
Management,” Winter: 45-54
Stone, Bernell K. and Wood, Robert A. (1977), “Daily Cash Forecasting: A
Simple Method for Implementing the Distribution Approach,”
Financial Management, Fall: 40-50
Synder, R. D.; Koehler, A. B. and Ord, J. K. (2002), “Forecasting for inventory
control with exponential smoothing,” International Journal of
Forecasting, 18: 5-18
Walsh, John F. (1998), Sales Forecasting in Cyclical Markets, Business
Economics, July: 35-37
Wardel, D. G.; Moskowitz, H. and Plante, R. D. (1992), “Control charts in the
presence of data correction”, Management Science, 38: 1084-1105
Watson, M. C. (1996), “Forecasting in the Scottish Electronics Industry,”
International Journal of Forecasting, 12: 361-371.
Watson, M. C. (1996), “Forecasting in the Scottish Electronics Industry,”
International Journal of Forecasting, 12: 361-371.
Webb, B.; Wisniewski, M. and Guy, P. (1991), An Examination of the Cash
Flow Characteristics of UK and European Companies, Certified
Research Report 23, The Chartered Association of Certified
Accountants (ACCA)

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