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Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East

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Abstract

The importance of advertising media evaluation as a multifaceted problem is well known by both academics and practitioners. Although previous studies tried to optimize media evaluation, there still are some gaps and problems to address, particularly in areas of flexibility of models/frameworks, decision making quality, tension management, and agility of the evaluation process. Most of previous studies are based on inflexible models/frameworks that have limitations on number of criteria/alternatives they can consider and type of data they can process. A great volume of the work used arbitrary decision making; arbitrary decision making regarding criteria and media importance may reduce effectiveness of advertising campaigns. Furthermore, the academic literature offers little guidance on group decision aggregation, and tension management during decision making is neglected. Media evaluation is a time taking process and any acceleration will reduce pre-campaign costs. The main aim of this paper is to illustrate how a group decision support system (GDSS) can assist media planners to overcome mentioned problems more systematically. For this purpose, we developed a GDSS that is an integration of three well-known multi-criteria decision making techniques. With a real world case study, we illustrate the performance of the proposed GDSS. Results of our quantitative assessments indicate that the GDSS is flexible, allows decision makers to express their opinions, reduces tension among decision makers, and saves time.

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References

  • Ackermann F, Eden C (2001) Contrasting single user and networked group decision support systems for strategy making. Group Decis Negot 10:47–66

  • Adla A, Zarate P, Soubie JL (2011) A proposal of toolkit for GDSS facilitators. Group Decis Negot 20:57–77

    Article  Google Scholar 

  • Alavi M, Joachimsthaler EA (1992) Revisiting DSS implementation research: a meta-analysis of the literature and suggestions for researchers. MIS Q 16:95–116

    Article  Google Scholar 

  • Alter SL (1975) A study of computer aided decision making in organizations. Ph.D. dissertation, M.I.T

  • Alter SL (1977) Why is man–computer interaction important for decision support systems? Interfaces 7:109–115

    Article  Google Scholar 

  • Alter SL (1980) Decision support systems: current practice and continuing challenge. Addison-Wesley, Reading, Boston

    Google Scholar 

  • Altuntasa S, Dereli T (2015) A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects. Expert Syst Appl 42:1003–1012

    Article  Google Scholar 

  • Arnott D, Pervan G (2005) A critical analysis of decision support systems research. J Inf Technol 20:67–87

    Article  Google Scholar 

  • Azadi M, Farzipour-Saen R, Momeni E (2013) Developing a new neutral DEA model for media selection in the existence of imprecise data. Int J Oper Res 18:16–34

    Article  Google Scholar 

  • Bass FM, Lonsdale RT (1966) An exploration of linear programing in media selection. J Mark Res 2:179–188

  • Baumeister J, Striffler A (2015) Knowledge-driven systems for episodic decision support. Knowl Based Syst 88:45–56

    Article  Google Scholar 

  • Behzadian M, Hosseini-Motlagh S, Ignatius J, Goh M, Sepehri M (2013) PROMETHEE group decision support system and the house of quality. Group Decis Negot 22:189–205

    Article  Google Scholar 

  • Bhattacharya UK (2009) A chance constraints goal programing model for the advertising planning problem. Eur J Oper Res 192:382–395

    Article  Google Scholar 

  • Bonczek RH, Holsapple CW, Whinston AB (1981) Foundations of decision support systems. Academic Press, New York

  • Bose U (2015) Design and evaluation of a group support system supported process to resolve cognitive conflicts. Comput Hum Behav 49:303–312

    Article  Google Scholar 

  • Brown DB, Warshaw M (1965) Media selection by linear programing. J Mark Res 2:83–88

    Article  Google Scholar 

  • Charnes A, Cooper WW, DeVoe JK, Learner DB, Reinecke W (1968) A goal programing model for media planning. Manag Sci 14:422–430

    Google Scholar 

  • Ching W, Yuen W, Michael NG, Zhang S (2006) A linear programing approach for determining optimal advertising policy. IMA J Manag Math 17:83–96

    Article  Google Scholar 

  • Danaher PJ, Lee J, Kerbache L (2010) Optimal internet media selection. Mark Sci 29:336–347

    Article  Google Scholar 

  • Day RL (1962) Linear programing in media selection. J Advert Res 2:40–44

    Google Scholar 

  • DeSanctis G, Poole M, Zigurs I, Associates O (2008) The Minnesota GDSS Research Project: group support systems, group processes, and outcomes. J Assoc Inf Syst 9:551–608

    Google Scholar 

  • Duque R, Rodríguez M, Hurtado M, Bravo C, Rodríguez-Domínguez C (2012) Integration of collaboration and interaction analysis mechanisms in a concern-based architecture for groupware systems. Sci Comput Program 77:29–45

    Article  Google Scholar 

  • Efremov RV, Av Lotov (2014) Multi-criteria remote asynchronous group decision screening: an experimental study. Group Decis Negot 23:31–48

    Article  Google Scholar 

  • Engel JF, Warshaw MR (1964) Allocating advertising dollars by linear programing. J Advert Res 4:42–48

    Google Scholar 

  • Eom SB (2002) Decision support systems research (1970–1999). Lewiston, New York

    Google Scholar 

  • Fan S, Shen Q (2011) The effect of using group decision support systems in value management studies: an experimental study in Hong Kong. Int J Proj Manag 29:13–25

    Article  Google Scholar 

  • Farzipoor-Saen R (2011) Media selection in the presence of flexible factors and imprecise data. J Oper Res Soc 62:1695–1703

    Article  Google Scholar 

  • Ferguson RL, Jones CH (1969) A computer aided decision system. Manag Sci 15:550–562

    Article  Google Scholar 

  • Fontela E, Gabus A (1976) The DEMATEL observer. Battelle Institute, Geneva Research Center

  • Fruchter GE, Kalish S (1998) Dynamic promotional budgeting and media allocation. Eur J Oper Res 111:15–27

    Article  Google Scholar 

  • Gabus A, Fontela E, (1973) Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility. DEMATEL Report No.1, Battelle Institute, Geneva Research Centre

  • Gallupe RB, DeSanctis G, Dickson GW (1988) Computer-based support for group problem-finding: an experimental investigation. MIS Q 12:277–298

    Article  Google Scholar 

  • Gorry A, Morton MSS (1971) A framework for information systems. Sloan Manag Rev 13:56–79

    Google Scholar 

  • Hackley C (2005) Advertising and promotion: communicating brands. Sage, London

    Book  Google Scholar 

  • Hashemian SM, Behzadian M, Samizadeh R, Ignatius J (2014) A fuzzy hybrid group decision support system approach for the supplier evaluation process. Int J Adv Manuf Technol 73:1105–1117

    Article  Google Scholar 

  • Holt CC, Huber GP (1969) A computer aided approach to employment service placement and counselling. Manag Sci 15:573–594

    Article  Google Scholar 

  • Ishizaka A, Nemery P (2013) A multi-criteria group decision GDSS for partner grouping when sharing facilities. Group Decis Negot 22:773–799

    Article  Google Scholar 

  • Jha PC, Aggarwal R, Gupta A (2011) Optimal media planning for multi-products in segmented market. Appl Math Comput 217:6802–6818

    Google Scholar 

  • Keown AJ, Duncan CP (1979) Integer goal programing in advertising media selection. Decis Sci 10:577–592

    Article  Google Scholar 

  • Kluyver-De CA (1978) Hard and soft constraints in media scheduling. J Advert Res 18:27–31

    Google Scholar 

  • Koo C, Hong T, Kim J (2014) A decision support system for determining the optimal size of a new expressway service area: focused on the profitability. Decis Support Syst 67:9–20

    Article  Google Scholar 

  • Kumar S, Jacob V, Sriskandarajah C (2006) Scheduling advertisements on a web page to maximize revenue. Eur J Oper Res 173:1067–1089

    Article  Google Scholar 

  • Kwak NK, Lee CW, Kim JH (2005) An MCDM model for media selection in the dual consumer/industrial market. Eur J Oper Res 166:255–265

    Article  Google Scholar 

  • Lee AM, Burkart AJ (1960) Some optimization problems in advertising media planning. Oper Res Q 11:113–122

    Article  Google Scholar 

  • Lee CW, Kwak NK (1999) Information resource planning using AHP-based goal programing model. J Oper Res Soc 51:1–8

    Google Scholar 

  • Lee SM (1973) Goal programing for decision analysis of multiple objectives. Sloan Manag Rev 14:11–24

    Google Scholar 

  • Lei N, Moon SK (2015) A decision support system for market-driven product positioning and design. Decis Support Syst 69:82–91

    Article  Google Scholar 

  • Limayem M, Banerjee P, Ma L (2006) Impact of GDSS: opening the black box. Decis Support Syst 42: 945–957

    Article  Google Scholar 

  • Little JDC, Lodish LM (1966) A media selection model and its optimization by dynamic programing. Ind Manag Rev 8:15–23

    Google Scholar 

  • Locander WB, Scamell RW, Sparkman RM, Burton JP (1978) Media allocation model using nonlinear benefit curves. J Bus Res 6:273–293

    Article  Google Scholar 

  • Matsatsinis NF, Grigoroudis E, Samaras A (2005) Aggregation and disaggregation of preferences for collective decision-making. Group Decis Negot 14:217–232

    Article  Google Scholar 

  • Mesak H, Zhang H (2001) Optimal advertising pulsation policies: a dynamic programing approach. J Oper Res Soc 11:1244–1255

    Article  Google Scholar 

  • Mihiotis A, Tsakiris I (2004) A mathematical programing study of advertising allocation problem. Appl Math Comput 148:373–379

    Google Scholar 

  • Milani AS, Shanian A, Lynam C, Scarinci T (2013) An application of the analytic network process in multiple criteria material selection. Mater Des 42:622–632

    Article  Google Scholar 

  • Nerlove M, Arrow KJ (1962) Optimal advertising policy under dynamic conditions. Economica 29:129–142

    Article  Google Scholar 

  • Opricovic S (1998) Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade

    Google Scholar 

  • Penichet V, Lozano M, Gallud J, Tesoriero R (2009) User interface analysis for groupware applications in the TOUCHE process model. Adv Eng Softw 40:1212–1222

    Article  Google Scholar 

  • Power DJ (2002) Decision support systems: concepts and resources for managers. Quorum Books, Westport

    Google Scholar 

  • Raymond RC (1966) Use of the time-sharing computer in business planning and budgeting. Manag Sci 12:363–381

    Article  Google Scholar 

  • Riorden J (1958) An introduction to combinatorial analysis. Wiley, New York

    Google Scholar 

  • Rios J, Rios-Insua D (2008) A framework for participatory budget elaboration support. J Oper Res Soc 59:203–212

    Article  Google Scholar 

  • Saaty TL (2013) The modern science of multicriteria decision making and its practical applications: the AHP/ANP approach. Oper Res 61:1101–11018

    Article  Google Scholar 

  • Saaty TL, Ozdemir MS (2003) Why the magic number seven plus or minus two. Math Comput Model 38:233–244

    Article  Google Scholar 

  • Sharma RN, Chand N, Sharma V, Yadav D (2015) Decision support system for operation, scheduling and optimization of hydro power plant in Jammu and Kashmir region. Renew Sustain Energy Rev 43:1099–1113

    Article  Google Scholar 

  • Sprague RH, Carlson JR, Carlson ED (1982) Building effective decision support systems. Prentice-Hall, Upper Saddle River

    Google Scholar 

  • Stasch SF (1965) Linear programing and space–time considerations in media selection. J Advert Res 5: 40–46

    Google Scholar 

  • Tavanaa M, Behzadian M, Pirdashti M, Pirdashti H (2014) A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin. Energy Econ 36:716–728

    Article  Google Scholar 

  • Tsai WH, Yang CC, Leu JD, Lee YF, Yang CH (2013) An integrated group decision making support model for corporate financing decisions. Group Decis Negot 22:1103–1127

    Article  Google Scholar 

  • Turban E (1967) The use of mathematical models in plant maintenance decision making. Manag Sci 13: 342–359

    Article  Google Scholar 

  • Tzeng GH, Chiang CH, Li CW (2007) Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Syst Appl 32:1028–1044

    Article  Google Scholar 

  • Watson RT, DeSanctis G, Poole MS (1988) Using a GDSS to facilitate group consensus: some intended and unintended consequences. MIS Q 12:463–478

    Article  Google Scholar 

  • Yea J, Dasiopoulou S, Stevenson G, Meditskos G, Kontopoulos E, Kompatsiaris I, Dobsona S (2015) Semantic web technologies in pervasive computing: a survey and research roadmap. Pervasive Mobile Comput 23:1–25

    Article  Google Scholar 

  • You X, You J, Liu H, Zhen L (2015) Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information. Expert Syst Appl 42:1906–1916

    Article  Google Scholar 

  • Zhang S, Li Y, Zhang T, Peng Y (2015) an integrated environmental decision support system for water pollution control based on TMDL—a case study in the Beiyun River watershed. J Environ Manag 156:31–40

    Article  Google Scholar 

  • Zlofani SH, Aghdaie MH, Derakhti A, Zavadskas EK, Varzandeh MHM (2013) Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Syst Appl 40:7111–7121

    Article  Google Scholar 

  • Zufryden FS (1973) Media scheduling a stochastic dynamic model approach. Manag Sci 19:1395–1406

    Article  Google Scholar 

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Acknowledgments

The authors would appreciate Paul W. Ferris for contributing to development of the paper with his useful suggestions and constructive comments. We wish to thank Jaleh Hoseinzadeh for sharing unpublished results and participating in discussions.

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Authors and Affiliations

  1. Marketing and Sales, Solico Group, 433 N Camden Drive, Beverly Hills, CA, 90210, USA

    Parham Fami Tafreshi & Mohammad Hasan Aghdaie

  2. Department of Industrial Engineering, Mehr Alborz University, 15 Second St., Gisha Ave., Tehran, Iran

    Majid Behzadian

  3. Department of Management, Faculty of Management, Adib Mazandaran University, Khazar Rd., Sari, Iran

    Mahdieh Ghani Abadi

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  1. Parham Fami Tafreshi
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  2. Mohammad Hasan Aghdaie
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  3. Majid Behzadian
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  4. Mahdieh Ghani Abadi
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Correspondence to Parham Fami Tafreshi.

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Tafreshi, P.F., Aghdaie, M.H., Behzadian, M. et al. Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East. Group Decis Negot 25, 1021–1048 (2016). https://doi.org/10.1007/s10726-015-9464-4

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