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2020, vol. 51, iss. 3, pp. 179-187
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A dual quantitative-qualitative sales quotas model
Dualni kvantitativno-kvalitativni model prodajnih kvota
Keywords: Marketing; Sales; Sales Model; Sales Quotas; Sales Forecasting
Ključne reči: marketing; prodaja; prodajni model; prodajne kvote; predviđanje prodaje
Abstract
There is no one commonly accepted sales model in literature and practice. The sales models presented in the marketing literature may be impractical or complicated for marketers, and the sales field itself has not sufficiently addressed the topic of quantitative sales models within academic research. The aim of this paper is to overcome this gap by presenting a dual model of sales quotas. The duality of this model is expressed through its quantitative and qualitative aspects. The quantitative part is based on the moving average, i.e. a linear equation with multiple factors and with multiple unknowns. The qualitative part of the model is based on the participation of salespeople and management in the design of the model. Their subjective judgments can significantly affect the end results and predicted quotas. The basic feature of this model is its practicality. Not only is the numerical part easy to explain to the client, but the client is also actively involved in modeling, suggesting a subjective projection of sales quotas and defining factors that can influence planned sales results. After presenting the theory behind the model, its practical application is demonstrated through the analysis of the Pervivo case study. This case study demonstrated that the dual quantitative-qualitative sales quotas model has usable value in business practice.
Sažetak
Ne postoji jedan opšteprihvaćeni model prodaje u literaturi i praksi. Modeli prodaje predstavljeni u marketing literaturi marketarima mogu biti nepraktični ili komplikovani, a i sama oblast prodaje nije dovoljno obradila temu kvantitativnih modela prodaje u okviru akademskih istraživanja. Cilj ovog rada je da donekle prevaziđe taj jaz predstavljanjem jednog dualnog modela prodajnih kvota. Dualnost ovog modela leži u njegovom kvantitativnom i kvalitativnom aspektu. Kvantitativni deo bazira se na ponderisanom proseku, odnosno linearnoj jednačini sa više kriterijuma i više nepoznatih. Kvalitativni deo modela bazira se na participaciji prodavaca i menadžmenta u izradi modela. Njihove subjektivne ocene mogu značajno da utiču na krajnje rezultate i predviđene kvote. Bazična osobina ovog modela je njegova praktičnost. Ne samo da je numerički deo lak za objašnjenje klijentu, već je i klijent aktivno uključen u modeliranje, predlažući subjektivnu projekciju prodajnih kvota i definišući kriterijume koji mogu uticati na planirane prodajne rezultate. Posle izlaganja teorijske osnove modela prikazana je i njegova praktična primena, kroz analizu studije slučaja Pervivo. Ovom studijom slučaja pokazali smo da dualni kvantitativno-kvalitativni model prodajnih kvota ima upotrebnu vrednost korišćenja u poslovnoj praksi.
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References
|
|
*** (2020) SCImago Journal Rank. Journal of Personal Selling and Sales Management, SCOPUS. https://www.scimagojr.com/journalsearch.php?q=22965&tip=sid
|
|
Adžić, S. (2015) Metodologija formiranja uspešne prodajne sile. in: Međunarodna naučno stručna konferencija (XIII) - Na putu ka dobu znanja, Sremski Karlovci: Fakultet za menadžment, http://www.famns.edu.rs/wp-content/uploads/2013/09/Zbornikradova-DZ-13-2015.pdf
|
1
|
Adžić, S. (2017) Leadership in the High Performance Organizations. Lap Lambert Academic Publishing
|
2
|
Adžić, S., Lazić, J., Cvijanović, J.M. (2005) High performance organization model. Industrija, vol. 33, br. 2-3, str. 45-78
|
|
Bader, H., Frohlich, S. (1980) Matematika za ekonomiste. Beograd: Rad
|
3
|
Bass, F.M. (1969) A New Product Growth for Model Consumer Durables. Management Science, 15(5): 215-227
|
|
Chung, C., Niu, S., Sriskandarajah, C. (2012) A Sales Forecast Model for Short-Life-Cycle Products: New Releases at Blockbuster. Production and Operations Management, 21(5): 851-873
|
|
Damnjanović, V., Krulj, D. (2005) Important Factors for Salesperson Evaluation. in: The Balkan Conference on Operational Research (7th): BALCOR
|
|
Davis, O.A., Farley, J.U. (1971) Allocating Sales Force Effort with Commissions and Quotas. Management Science, 18(4-part-ii): P-55-P-63-P-55-P-63
|
|
Dibb, S., Simkin, L., Pride, W.M., Ferrell, O.C. (2012) Marketing: Concepts and Strategies. Cengage, 6th ed
|
|
Dixon, M., Adamson, B. (2011) The Challenger Sale: Taking Control of the Customer Conversation. Portfolio, (1st edition)
|
|
Ferber, R. (1954) Sales Forecasting by Correlation Techniques. Journal of Marketing, 18(3): 219-232
|
|
Geva, T., Oestreicher-Singer, G., Efron, N., Shimshoni, Y. (2017) Using Forum and Search Data for Sales Prediction of High-Involvement Projects. MIS Quarterly, 41(1): 65-82
|
|
Gong, L., Wang, C. (2019) Model of Automobile Parts Sale Prediction Based on Nonlinear Periodic Gray GM(1,1) and Empirical Research. Mathematical Problems in Engineering, 2019(1): 1-8
|
|
Hardie, B.G.S., Fader, P.S., Wisniewski, M. (1998) An empirical comparison of new product trial forecasting models. Journal of Forecasting, 17(3-4), 209-229. https://doi.org/10.1002/(SICI)1099-131X(199806/07)17:3/4<209::AID-FOR694>3.0.CO;2-3
|
|
Hollensen, S. (2003) Marketing Management: A Relationship Approach. Financial Times
|
27
|
Jobber, D., Fahy, J. (2006) Osnovi marketinga. Data status
|
|
Joseph, K., Kalwani, M.U. (1998) The Role of Bonus Pay in Salesforce Compensation Plans. Industrial Marketing Management, 27(2), 147-159
|
|
Ju-Long, D. (1982) Control problems of grey systems. Systems & Control Letters, 1(5), 288-294
|
|
Kotler, P., Armstrong, G., Saunders, J., Wong, V. (2005) Principles of Marketing: 4th European Edition. Pearson Education Limited
|
10
|
Kotler, P., Keller, K.L. (2006) Marketing menadžment. Data status
|
|
Kräkel, M., Schöttner, A. (2016) Optimal sales force compensation. Journal of Economic Behavior & Organization, 126: 179-195
|
|
Lončar, Ž. (2020) MP tržišni potencijali. in: Personal communication
|
|
Martinović, J., Damnjanović, V. (2006) The Sales Forecasting Techniques. in: International Scientific Days 'Competitivness in the EU: Challenge for the V4 Countries', 526-531
|
|
Morris, C. (2003) Quantitative Approaches in Business Studies. Financial Times
|
|
Muczyk, J.P., Gable, M. (1987) Managing Sales Performance Through a Comprehensive Performance Appraisal System. Journal of Personal Selling & Sales Management, 7(1): 41-52
|
|
Rapp, A., Bachrach, D.G., Panagopoulos, N., Ogilvie, J. (2014) Salespeople as knowledge brokers: A review and critique of the challenger sales model. Journal of Personal Selling & Sales Management, 34(4): 245-259
|
|
Republički zavod za statistiku Srbije (RSZ) (2019) Regionalni računi. http://www.stat.gov.rs/oblasti/nacionalni-racuni/regionalni-podaci
|
|
Schottner, A. (2016) Optimal Sales Force Compensation in Dynamic Settings: Commissions vs. Bonuses. Management Science, 63(5): 1529-1544
|
|
Schwepker, C.H., Good, D.J. (2012) Sales Quotas: Unintended Consequences on Trust in Organization, Customer-Oriented Selling, and Sales Performance. Journal of Marketing Theory and Practice, 20(4): 437-452
|
|
Tsoumakas, G. (2019) A survey of machine learning techniques for food sales prediction. Artificial Intelligence Review, 52(1): 441-447
|
|
Winer, L. (1973) The Effect of Product Sales Quotas on Sales Force Productivity. Journal of Marketing Research (JMR), 10(2): 180-183
|
|
Zenith (2019) Advertising Expenditure Forecasts June 2019
|
|
|
|