A game theory approach to selecting marketing-mix strategies

PurposeAdopting efficient marketing strategies is a challenging task in a competitive market place involving complex marketing planning, techniques and mechanisms to identify the best course of action under these circumstances and finding optimal solutions or stable outcomes. Decisions and strategies of competitors in the market influence the selection of the appropriate marketing strategy. The main purpose of this paper is to develop a mathematical methodology based on the game theory approach for planning optimal marketing-mix strategies in dynamic competitive markets, taking into account strategic foresight and interaction effects.Design/methodology/approachThe game theory approach, as a decision-making tool in conflict situations, is suggested for planning and adopting optimal marketing strategy. The main intellectual attraction of the game theory is essentially a question of how to act in gaming situations against highly rational opponents A kind of static, finite and non-cooperative game analytics approach has been developed for this issue, and the proposed model has been implemented to design optimal marketing strategies for two top brands of the automotive parts market in Iran.FindingsThe findings of this study show that the optimal marketing-mix strategy for brand A is pricing and for brand B is the product strategy.Practical implicationsGame theory and the Nash equilibrium model can provide a practical approach to find and adopt the right strategy, know competitors' movements and strategies and get more profit.Originality/valueThe integration of the game theory approach into the marketing mix framework has been adopted as a generalized model for marketing strategy planning and analysis as well as to resolve some shortcomings of the marketing mix framework. The Nash equilibrium model has been used to analyze the results. The incorporation of game theory into marketing models has the potential to enrich the scope of marketing modeling.

[1]  Mohammad Karim Sohrabi,et al.  A Survey on the Combined Use of Optimization Methods and Game Theory , 2018, Archives of Computational Methods in Engineering.

[2]  Nuno Marques de Almeida,et al.  The effects on customer satisfaction and customer loyalty by integrating marketing communication and after sale service into the traditional marketing mix model of Umrah travel services in Malaysia , 2020 .

[3]  Subhojit Banerjee,et al.  Effect of product category on promotional choice: comparative study of discounts and freebies , 2009 .

[4]  Kalyan Chatterjee,et al.  Game theory in marketing science uses and limitations , 1986 .

[5]  Participation against competition in banking markets based on cooperative game theory , 2017 .

[6]  Manoj Kumar Tiwari,et al.  A decision framework for the analysis of green supply chain contracts: An evolutionary game approach , 2012, Expert Syst. Appl..

[7]  Scott A. Neslin,et al.  Nash's Theory of Cooperative Games as a Predictor of the Outcomes of Buyer-Seller Negotiations: An Experiment in Media Purchasing , 1983 .

[8]  Robert Dahlstrom,et al.  How to recover trust in the banking industry? A game theory approach to empirical analyses of bank and corporate customer relationships , 2014 .

[9]  The Games Retailers Play , 1996 .

[10]  Sihem Taboubi,et al.  Pricing Strategies of Complementary Products in Distribution Channels: A Dynamic Approach , 2015, Dyn. Games Appl..

[11]  Ross Gordon,et al.  Re-Thinking and Re-Tooling the Social Marketing Mix , 2012 .

[12]  D. Popovic.  Modelling the marketing of high-tech start-ups , 2006 .

[13]  William F. Lucas,et al.  An Overview of the Mathematical Theory of Games , 1972 .

[14]  Rida Laraki,et al.  Mathematical Foundations of Game Theory , 2019, Universitext.

[15]  S. Venaik,et al.  Archetypes of marketing mix standardization-adaptation in MNC subsidiaries , 2019, European Journal of Marketing.

[16]  Ashkan Hafezalkotob,et al.  A Nash bargaining model for flow shop scheduling problem under uncertainty: a case study from tire manufacturing in Iran , 2018 .

[17]  Ying Wang,et al.  A game-theoretic strategic mechanism to control brand counterfeiting , 2018 .

[18]  José L. Zayas-Castro,et al.  Office-based and home-care for older adults in primary care: A comparative analysis using the Nash bargaining solution , 2020 .

[19]  Vikas Kumar,et al.  The Influence of 7P's of Marketing Mix on Buying Intention of Music Product in Indonesia , 2014 .

[20]  Erik Hernandez,et al.  Selective Smooth Fictitious Play: An approach based on game theory for patrolling infrastructures with a multi-robot system , 2014, Expert Syst. Appl..

[21]  Noeleen Doherty,et al.  Chaos Theory: Marketing & Management Implications , 2001 .

[22]  K. Raman,et al.  Planning Marketing-Mix Strategies in the Presence of Interaction Effects , 2005 .

[23]  Zhe Huang,et al.  Evolutionary Game Analysis of Online and Offline Drug Retailer Competition Based on Network Externalities , 2019, IEEE Access.

[24]  Dooyoung Choi,et al.  Influences of environmental and hedonic motivations on intention to purchase green products: An extension of the theory of planned behavior , 2019, Sustainable Production and Consumption.

[25]  Pervaiz K. Ahmed,et al.  Using the 7Ps as a generic marketing mix , 1995 .

[26]  Roger B. Myerson,et al.  On the Value of Game Theory in Social Science , 1992 .

[27]  Carmelo Rodríguez,et al.  Game-theoretical model for marketing cooperative in fisheries , 2018, Appl. Math. Comput..

[28]  Javier A. Sánchez Torres,et al.  What kind of e-mail information is more effective in communicating with the client? Application of game theory , 2018 .

[29]  S. K. Sinha,et al.  Impact of sales Promotion's benefits on perceived value: Does product category moderate the results? , 2020 .

[30]  Chih-Fu Wu,et al.  A study on the promotional mix of pre-service in the view of service design , 2019, Ind. Manag. Data Syst..

[31]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[32]  S. Srivastava,et al.  Factors influencing variation in implementation outcomes of the redesigned community health fund in the Dodoma region of Tanzania: a mixed-methods study , 2021, BMC Public Health.

[33]  Alexander Vasin,et al.  Game-theoretic Study of Electricity Market Mechanisms , 2014, ITQM.

[34]  D. B. Montgomery,et al.  Rational Strategic Reasoning: An Unnatural Act? , 1998 .

[35]  Abel Demerew Hailu,et al.  Influence of pharmaceutical marketing mix strategies on physicians’ prescribing behaviors in public and private hospitals, Dessie, Ethiopia: a mixed study design , 2021, BMC Public Health.

[36]  Anna Jadlovská,et al.  Algorithms of optimal control methods for solving game theory problems , 2011, Kybernetes.

[37]  Elizabeth Chang,et al.  Stackelberg model based game theory approach for assortment and selling price planning for small scale online retailers , 2019, Future Gener. Comput. Syst..

[38]  B. Lauterborn,et al.  NEW MARKETING LITANY: FOUR PS PASSE: C-WORDS TAKE OVER , 1990 .

[39]  Kannan Srinivasan,et al.  Pricing and persuasive advertising in a differentiated market , 2015 .

[40]  Marwan A. Simaan,et al.  Nash Equilibrium Strategies for the Problem of Armament Race and Control , 1975 .

[41]  Shunsuke Managi,et al.  Effect of environmental awareness on purchase intention and satisfaction pertaining to electric vehicles in Japan , 2019, Transportation Research Part D: Transport and Environment.

[42]  Mary Jo Bitner,et al.  Marketing Strategies and Organizational Structures for Service Firms , 1981 .

[43]  John C. Harsanyi,et al.  Solutions for some bargaining games under the Harsanyi-Selten solution theory, part II : Analysis of specific bargaining games , 1982, Math. Soc. Sci..

[44]  R. Rao,et al.  A reflection on analytical work in marketing: Three points of consensus , 2012 .

[45]  Ju-Young Kim,et al.  The impact of buyer–seller relationships and reference prices on the effectiveness of the pay what you want pricing mechanism , 2014 .

[46]  Sanjay K. Prasad,et al.  Impact of bargaining power on supply chain profit allocation: a game-theoretic study , 2019, Journal of Advances in Management Research.

[47]  Mostafa Zandieh,et al.  A game theory-based model for product portfolio management in a competitive market , 2011, Expert Syst. Appl..

[48]  John Stark,et al.  Product Lifecycle Management , 2005 .

[49]  R. Goldsmith.  The personalised marketplace: beyond the 4Ps , 1999 .

[50]  Stan Lipovetsky,et al.  Antagonistic and bargaining games in optimal marketing decisions , 2007 .

[51]  Elia Daniele,et al.  Application of Game Theory and Evolutionary Algorithm to the Regional Turboprop Aircraft Wing Optimization , 2019 .

[52]  António Grilo,et al.  A game theory approach to online lead generation for oligopoly markets , 2018, Comput. Ind. Eng..

[53]  B. Francioni,et al.  Foreign market entries, exits and re-entries: The role of knowledge, network relationships and decision-making logic , 2020 .

[54]  Amir Ahmadi-Javid,et al.  Cooperative advertising in a capacitated manufacturer-retailer supply chain: a game-theoretic approach , 2018, Int. Trans. Oper. Res..

[55]  Mark Taylor,et al.  Game theory modelling of retail marketing discount strategies , 2019, Marketing Intelligence & Planning.

[56]  Hossein Olya,et al.  Failure of play on asset disposals and share buybacks: Application of game theory in the international hotel market , 2020, Tourism Management.

[57]  Vaughan C. Judd,et al.  Differentiate with the 5th P: People , 1987 .

[58]  Alireza Arshadi Khamseh,et al.  An optimization model of three-player payoff based on fuzzy game theory in green supply chain , 2019, Comput. Ind. Eng..

[59]  Oliver Cruz-Milán.  Hotels' marketing mix responses at insecurity-stricken destinations: a study in the US–Mexico border , 2021, International Hospitality Review.

[60]  Martin Shubik,et al.  On Gaming and Game Theory , 1972 .

[61]  Bruno Viscolani,et al.  Pure-strategy Nash equilibria in an advertising game with interference , 2012, Eur. J. Oper. Res..

[62]  J. Rubin,et al.  Negotiation , 1983 .

[63]  J. K. Murnighan.  Attitudinal Structuring and Game Theory , 2015 .

[64]  Atefeh Amindoust,et al.  Determining the Best Combination of Perspective indicators of Balanced Scorecard by using Game Theory , 2021 .

[65]  Niu Xiaohui,et al.  Predicting the protein solubility by integrating chaos games representation and entropy in information theory , 2014, Expert Systems with Applications.

[66]  Low Sui Pheng,et al.  Formulating a strategic marketing mix for quantity surveyors , 1997 .

[68]  C. Vignali,et al.  The Marketing Mix Redefined and Mapped , 1994 .

[69]  B. Othman,et al.  Dimensions of Service Marketing Mix and its Effects on Customer Satisfaction: A Case Study of International Kurdistan Bankin Erbil City-Iraq , 2019 .

[70]  Imran S. Currim,et al.  The right metrics for marketing-mix decisions , 2020 .

[71]  Eric van Damme,et al.  Non-Cooperative Games , 2000 .

[72]  Weihong Ni,et al.  Game theoretic analysis of one manufacturer two retailer supply chain with customer market search , 2015 .

[73]  Rosanna Leung,et al.  A service failure framework of hotels in Taiwan , 2018 .

[74]  Maryam Esmaeili,et al.  Using game theory for analysing pricing models in closed-loop supply chain from short- and long-term perspectives , 2016 .

[75]  Josef Froschauer,et al.  A serious heritage game for art history: Design and evaluation of ThIATRO , 2012, 2012 18th International Conference on Virtual Systems and Multimedia.

[76]  A. J. Magrath.  When marketing services, 4 Ps are not enough , 1986 .

[77]  J. Mileski,et al.  A game theory application of a cruise value chain – the case of China , 2018, Maritime Business Review.

[78]  Yongjun Li,et al.  Supplier evaluation based on Nash bargaining game model , 2014, Expert Syst. Appl..