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基于互联网环境下的企业网络广告投资策略研究 被引量:12

Study on Investment Strategies for Online Advertising Based on Internet Environment of Enterprise
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摘要 随着网络广告的日益普及,选择投放合适的网络广告已经成为决定广告投放成功的关键,企业在进行网络广告投资决策时,面临着选择投资门户网络广告和长尾网络广告的困境。然而,目前并没有针对投放门户网络广告和长尾网络广告的理论和方法,因此需要投放门户网络广告和长尾网络广告的理论、方法和模型以有效指导企业广告投放的运作管理,为企业创造更高的价值。本文引进柯布-道格拉斯销售函数S(a,q)=α-βa-γq-δ,尝试应用博弈论方法构建基于门户网络广告和长尾网络广告的非合作静态Nash投资模型、合作静态Nash投资模型和Stackelberg主从博弈投资决策模型,并通过模型均衡分析求出广告的投资小收益大的条件。与非合作的纳什均衡情况相比,Stackelberg主从博弈模型中,优先投资的网络广告投资小收益大,次后投资的网络广告投资大收益小。但总的投资和收益关系不确定。同其他三种投资情况相比,基于合作的投资策略比非合作和Stackelberg先后投资策略所获得的收益要大。同时,文中运用一个数值算例进一步验证了结论的有效性。解决了企业面临投资门户网络广告和长尾网络广告决策的困境,研究结论为企业投资网络广告提供理论依据和决策方法。 With the increasing popularity of online advertising, the choice of appropriate online advertising has been the key of successful publishing. Enterprises are faced with dilemma when they select the invest- ment between the portal online advertising and the long tail online advertising. Presently, however, there are no theories and methods aim to the portal online advertising and the long tail online advertising for pub- lishing. Therefore, it is urgent to cry for the theories, methods, and models of online advertising publish- ing to instruct effectively the operation and management and create more value for enterprises. In this pa- per, Cobb-Douglas sales function S(a,q) = a--βa^-γq^-δ is introduced and non-cooperative static Nash invest- ment model, cooperative static Nash investment model and Stackelberg investment model with game theory are built based on the portal online advertising and the long tail online advertising, through the analysis of model equilibrium to get the conditions that advertising investment gain big return from a small invest- ment. In the condition of Stackelberg game model, the conditions are obtained that the long tail online ad- vertising get big revenues from a small investment and the portal online advertising get big revenues from a small investment when they are successively invested respectively. Compared Stackelberg Equilibrium with non-cooperative Nash Equilibrium, the prior investment of online advertising gets big revenues from a small investment and subsequent investment gets small return from a big investment, and the relation of total investment and profits are uncertain. Compared with the non-cooperative online advertising invest- ment model and Stackelberg game online advertising investment model, only the advertising investment based on cooperative Nash Equilibrium strategy can get the maximum pro{it. Furthermore, it verifies the validity of conclusion with a numerical example. The study conclusions solve dilemma for enterprises when they are faced with the investment between the portal online advertising and the long tail online advertis- ing, it also provides enterprises a new theoretical basis and decision-making method for online advertising investment.
出处 《中国管理科学》 CSSCI 北大核心 2014年第2期65-74,共10页 Chinese Journal of Management Science
基金 国家自然科学基金资助项目(70772070)
关键词 门户网络广告 长尾网络广告 斯塔克伯格博弈 纳什均衡 portal online advertising long tail online advertising Stackelberg game Nash Equilibrium
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参考文献21

  • 1van der Wurff R,Bakker P,Picard R G. Economic growth and advertising expenditures in different media in different countries[J].{H}JOURNAL OF MEDIA ECONOMICS,2008,(1):28-52.
  • 2Gabszewicz J J,Laussel D,Sonnac N. Competition in the media and advert-isingMarkets[J].The Manchester School,2006,(1):1-22.
  • 3Naik P A,Raman K. Understanding the impact of synergy in ultimedia communications[J].Journal of Mar keting Research,2003,(4):375-388.
  • 4Berkowitz D,Allaway A,D'Souza D. The impact of differential lag effects on the allocation of advertising budgets across media[J].{H}Journal of Advertising Research New York,2001,(2):27-36.
  • 5Naik P A,Peter K. A hierarchical marketing communications model of online and offline media synergies[J].{H}JOURNAL OF INTERACTIVE MARKETING,2009,(4):288-299.
  • 6Soberman D. The complexity of media plan-ning today[J].Journal of Brand Management,2005,(6):420-429.
  • 7Richard L. The paradox of ROI and decrea-sed spending in the ad industry[J].American Journal of Busi ness,2009,(2):11-15.
  • 8Danaher P J,Rust R T. Determining the optimal return on investment for an advertising carnpaign[J].{H}European Journal of Operational Research,1996,(3):511-521.
  • 9Leach D F,Reekie W D. A natural experiment of the effect of advertising on sales:The SASOL case[J].{H}Applied Economics,1996,(9):1081-1091.
  • 10Kennedy K,Kennedy B B. A small company's dilemma:Using search engi-nes effectively for corporate sales[J].Management Research News,2008,(10):737-745.

二级参考文献71

  • 1钟宝嵩,李悝,李宏余.基于供应链的合作促销与定价问题[J].中国管理科学,2004,12(3):69-74. 被引量:43
  • 2梁樑,余雁.供应链中制造商与代理商广告合作的博弈[J].系统工程理论方法应用,2004,13(6):490-494. 被引量:30
  • 3Sen K.Advertising Fees in the Franchised Channel[M].New York:The Haworth Press,1994:83-102.
  • 4Dant R P,Berger P D.Modeling Cooperative Advertising Decisions in Franchising[J].J of the Operational Research Society,1996,49(8):1120-1136.
  • 5Kim S Y,Staelin R.Manufacturer Allowances and Retailer Pass-through Rates in a Competitive Environment[J].Marketing Science,1999,18(1):59-76.
  • 6Li S X,Huang Z M,Ashley A.Manufacturer and Retailer Cooperation through Franchising:A Chance Constrained Game Approach[J].Information Systems and Operational Research,2002,40(1):131-148.
  • 7Chintagunta P K,Jain D.A Dynamic Model of Channel Member Strategies for Marketing Expenditures[J].Marketing Science,1992,11(2):117-134.
  • 8Jorgensen S,Taboubis S.Cooperative Advertising in a Marketing Channel[J].J of Optimization Theory and Applications,2001,110(1):145-158.
  • 9Nerlove M,Arrow K J.Optimal Advertising Policy under Dynamic Conditions[J].Economica,1962,39(2):129-142.
  • 10Basar T,Olsder G J.Dynamic Non Cooperative Game Theory[M].New York:Academic Press,1995:148-151.

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