基于创新扩散模型的市场营销组合策略研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着我国改革开放的不断深入和社会主义市场经济的快速发展,企业在经营和管理中运用科学的方法的意识逐渐加强,企业在解决诸多市场营销决策问题时,需要完善相关的决策优化理论和方法。针对这样的实际需要,本文试图通过研究基于创新扩散的产品定价与广告和组合营销中的若干决策优化问题,获得一些能够指导企业进行市场营销决策的科学理论和方法。
     在市场营销决策中,产品定价决策、广告投入决策和营销组合决策是企业所关心的重要决策中的一部分,许多学者对这些领域的问题进行了研究,但仍然存在一些需要进一步深入研究的问题。而且,近年来这些领域出现了一些新的研究问题。因此本文研究从消费者微观决策出发在基于创新扩散模型的产品定价决策、广告投入决策和促销组合决策等方面进行了创新性研究工作。
     本文首先研究了传统的产品生命周期理论和创新扩散模型,通过文献分析将文章的建模重心放在了创新扩散模型上。在研究了传统的创新扩散模型上,提出了从个体角度构建的扩散模型方法。突破了长期占统治地位的Bass模型族的局限,易消费者行为理论为基础,同时考虑了个体消费者的微观决策的差异性,大大加强了这项研究的科学性。
     然后,本文在基于微观决策的创新扩散模型基础上研究产品定价的最优决策问题,通过定义需求机会函数f(p),通过将需求机会函数合理地代入传统的扩散微分方程式,研究如何透过售价p影响新产品在不同产品生命周期之销售信息及其利润回收,通过分析数学模型最优解的性质,及最优解对模型各参数的敏感度分析,得到其经营管理含义。
     其次,在研究产品广告的最优决策问题时,本文通过建立不确定性情况下单个潜在用户面对创新时的采纳决策模型,应用效用函数,给出了不确定性收益的等价确定性收益,量化了不确定性对潜在用户决策的影响;认为潜在用户对创新性能的判断是一个连续型随机变量,给出了基于Bayes修正法则的潜在用户获得新信息后修正消费者以前判断的方法;以采纳创新所需要的最少信息数的形式,给出了潜在用户采纳创新的先后顺序,基于单个潜在用户的决策模型以及某些个体特征在潜在用户群中的分布规律建立了总体的创新扩散模型。在得到宏观层次的创新扩散模型的基础上应用最优控制理论得到企业最优广告投入策略。
     最后,在研究前两部分内容的基础上通过借鉴Dodson和Muller的研究方法通过构建随机过程方法得到基于创新扩散模型的营销组合策略模型,通过动态规划方法求得最优控制策略,在分析这些的最优控制策略的基础上采用数值模拟的方法对模型进行仿真。
     在上述创新性研究中,综合运用运筹学、经济学、管理学、控制论等多个学科领域的理论和知识,从微观角度出发对产品定价与广告和组合营销决策优化问题进行了比较系统深入的研究,取得了一些结论,提出了实践应用方面的建议。
With the deepening of reform and opening up policy as well as the rapid development of the socialist market economy, awareness of scientific enterprise operation and management has been gratefully strengthened. When faced with a lot of marketing decision-making problems, corresponding decision optimization theory and method are required. With regard to such practical need, this paper attempts to acquire such scientific theories and methods as guide enterprises in marketing decision-making by research on a number of optimization problems regarding to product pricing and promotion which is based on diffusion model.
     When making marketing decisions, the strategic of product pricing, advertising input and marketing mix is the essential part. Though many scholars have done researches in this area, some old problems still remain for further in-depth study in addition that new questions are emerging. In this paper, the author against such existing gaps and new issues commit innovation research work in the following aspects:
     The traditional innovation diffusion models are mostly from the general point of view to study new products spread throughout the population patterns and the proliferation rate, are based on the proliferation of communications theory, new product diffusion process as the process of the spread of infectious diseases or message as a way to explore the impact of the proliferation rate of the scale and spread of the main factors. But the reality is that consumers adopt new products out of the individual micro-decision-making considering the various uncertain factors (such as product quality, price) effects in achieving its goal of maximizing the effectiveness of decision-making, as with manufacturers of the between information asymmetry will lead to the decision-making based on individual micro-diffusion model in general and the traditional innovation diffusion model are in the general diffusion model is different from an individual point of view of the diffusion model to build a long-term breakthrough in the Bass model of the dominant ethnic group limitations, it is based on the theory of consumer behavior in order to greatly enhance the scientific nature of the study.
     Research based on micro-innovation diffusion model of decision-making in carrying out the optimal price of the opportunity to study the demand by defining a function by function and reasonable demands on behalf of the opportunity to spread into the traditional differential equations to study how the price impact of new products in different product life-Cycle sales information and its profit recovery can be made into a specific discussion of the mathematical model, mathematical model by analyzing the nature of the optimal solution, and the optimal solution of the model analysis of the sensitivity of each parameter, to be the meaning of its business management.
     Through the establishment of the uncertainty faced by potential users of a single case of innovation adoption decision-making model when applied utility function, given the uncertainty certainty equivalent income gains, quantify the uncertainty on the potential users in decision-making impact; that the potential users to judge the performance of innovation is a continuous random variable is given based on the Bayes rule amendments to the potential users to obtain new information before the judge to amend his ways; to the minimum required for the adoption of innovative information on the number of forms, potential users are given the order to adopt innovative, based on a single decision-making model of potential users as well as certain individual characteristics of potential user groups in the distribution of the establishment of a macro-level of innovation diffusion model. Obtaining the macro-level innovation diffusion model based on the application of optimal control theory of business strategy for the optimal advertising investment.
     In examining the contents of the first two parts by drawing on the basis of Dodson and Muller research methods by constructing stochastic process approach to be based on innovation diffusion model of the marketing mix strategy model, obtained by dynamic programming optimal control strategy, in analysis of these optimal control strategy based on the numerical simulation method of the model simulation.
     Theories and knowledge drawn from many scopes of subjects such as operation research, economics, management, and cybernetics have been applied in the above study. From the view of microscopic point, a number of strategic optimization problems regarding to product pricing and promotion have been lucubrated, analytic conclusions have been carried out and practical suggestions have been put forward.
引文
[1]菲利普·科特勒等著,梅清豪译,市场营销管理·亚洲版·第二版[M],北京,中国人民大学出版社Prentice Hall出版公司,2001.2
    [2]邝鸿.现代市场营销大全[M].北京:经济管理出版社.1990
    [3]叶明海,张庆洪.营销管理[M].上海:同济大学出版社.1996.
    [4]吴建安.市场营销学[M].合肥:安徽人民出版社.1994.
    [5]Robinson, Bruce & Chet Lakhani, Dynamic Price Models for New Product Planning[J], Management Science, Vol.10(June 1975),p1113-1122
    [6]Dolan R, Jeuland A, Experience curves and dynamic demand models: Implications for optimal pricing strategies[J]. J Marketing Res,1981 45:p52-62
    [7]Kalish S, Monopolist pricing with dynamic demand and production cost. Marketing Sci2:1983,p135-160
    [8]Dockner E, Jorgensen S, Optimal pricing strategies for new products in dynamic oligopolies[J]. Marketing Sci 1988:7:p315-334
    [9]Mahajan V, Muller E,Pricing and diffusion of primary and contingent products[J]. Techn Forecasting Soc Change 1991,39:p291-307
    [10]Bass FM, The relations between diffusion rates, experience curves and demand elasticities for consumer durable technological innovation[J]. J Bus 1980,53:p51-67
    [11]Bass FM, Bultez A,A note on optimal strategic pricing of technological innovations[J].Marketing Sci 1982,1:p371-378
    [12]Parker P,Price elasticity dynamics over the adoption life cycle[J]. J Marketing Res 1992,9:p358-367
    [13]Eliashberg J, Jeuland A,The impact of competitive entry in developing market upon dynamic pricing strategies[J]. Marketing Sci 1986,5:p20-36
    [14]Krishnan TV, Bass FM, Jain D,Optimal pricing strategy for new products[J]. Manage Sci 1999,45:p 1650-1663
    [15]Feichtinger G,Optimal pricing in a diffusion model with concave price-dependent market potential[J]. Oper Res Lett 1982,1:p236-240
    [16]Jorgensen S, Optimal control of a diffusion model of new products acceptance with price dependent total potential market[J]. Optimal Control Appl Methods 1983,4:p269-276
    [17]Kalish S, Lilien GL, A market entry timing model for new technologies[J].Manage Sci 1986,32:p194-205
    [18]Kamakaura, W.A.and Balasubrmanaian, S.K.Long-term View of the Diffusion of Durables[J]. Inter.J.of Researeh in Makretings(1988), PP1 - 13.
    [19]Dan Horsky, A Diffusion Model Incorporating Product Benefits, Price, Income and Information[J], Marketing Science, Vol.9, No.4,1990, p342-355
    [20]Martins F, Nascimento V,Dynamic pricing of repeat purchase goods[J]. Economia (Portuguese Catholic University) 1993 17:161-206
    [21]Bottomley P, Fildes R,The role of prices in models of innovation diffusion[J]. J Forecasting 1998,17:p539-555
    [22]De Palma A,Droesbeke F, Lefevre C, Price influence in the first-adoption of an innovation[J].Cahiers du CERO 1984,26:p43-49
    [23]Rao RC, Bass FM,Competition, strategy, and price dynamics:A theoretical and empirical investigation[J]. J Marketing Res 1985,22:p283-296
    [24]Jain D, Rao RC,Effect of price on the demand for durables[J]. J Bus Econ Statist 1990,8:p163-170
    [25]Bhargava SC, Bhargava RK, Jain A, Requirement of dimensional consistency in model equations:Diffusion models incorporating price and their applications [J]. Techn Forecasting Soc Change 1991,41:p177-188
    [26]Putsis WP,Parameter variation and new product diffusion[J].J Forecasting 1998,17:p231-257
    [27]Mesak H, BergW, Incorporating, price and replacement purchases in new products diffusion models for consumer durables[J]. Decis Sci 1995, 26:p425-449
    [28]Miao-Sheng Chen, Yu-Ti Shih, Optimal pricing for patent protected new products[J], Applied Mathematics and Computation 197 (2008):p525-535
    [29]盛亚.新产品最优价格战略研究,数量经济技术经济研究[J],1999,11,P27-29
    [30]杜荣、胡奇英,魏轶华.两方竞争情况下产品动态定价研究[J].管理工程学报.2003, Vol.17, No.1. pp20-24
    [31]潘小军,陈宏民.网络外部性与产品垄断定价策略研究[J].管理工程学报,2006,(1):67-70.
    [32]Dan Horsky & Leonard S. Simon,Advertising and The Diffusion of New product[J], Marketing Science, Vol.2 No.1 (Winter 1983)p1-17
    [33]Teng J, Thompson R, Oligopoly models for optimal advertising when production costs obey a learning curve[J],Manage Sci 1983,29:p1087-1101
    [34]Simon, H. and Sebastian, K.H, Diffusion and Advertising:The German Telephone Campaign[J], Management Science,Vol.33,No.4,April 1987,p1021-1028
    [35]Horsky D, Mate KV,Dynamic advertising of competing durables good producers[J],Marketing Sci 19887:p356-367
    [36]曾勇唐小我,更新扩散模型与最优广告费用控制[J],电子科技大学学报,Aug NO.4 1993:P443-447
    [37]Buratto, A., Grosset, L., Viscolani, B., Advertising a new product in a segmented market[J], European Journal of Operational Research 2006.175, p1262-1275.
    [38]Du, Rong, Hu, Qiying, Ai, Shizhong,. Stochastic optimal budget decision for advertising considering uncertain sales response[J], European Journal of Operational Research 2007,183 (3), p1042-1054.
    [39]Sanjeev Swami, Arindam Dutta, Advertising strategies for new product diffusion in emerging markets:Propositions and analysis[J], European Journal of Operational Research 204 (2010) 648-661
    [40]张廷,高宝俊,宣慧玉,创新扩散中广告投放效果的元胞自动机仿真[J],科技进步与对策,2009年1月。P134-137
    [41]Dockner E, Jorgensen S,Optimal advertising policies for diffusion models of new product innovations in monopolistic situation[J], Manage Sci 1988,34:p119-130
    [42]艾兴政.唐小我.广告媒介下两种产品竞争与扩散模型研究[J].管理工程学报,2000,14(3):19-22.
    [43]Bass FM, Krishnamoorthy Ai Prazad A, et. Generic and brand advertising strategies in a dyrmmic duopoly[J]. Management Science,2005,24(4):p556-568.
    [44]齐洁,汪定伟.广告竞争模型的最优控制策略研究[J].系统工程理论与实践,2007,27(1):p39-44.
    [45]Nair A, Narasimhan R. Dynamics of competing with quality and advertising-based goodwill[J]. European Journal of Operational Research, 2006,175(1):p462-474.
    [46]熊中楷,聂佳佳,李根道,基于微分对策的多寡头品牌和大类广告策略研究[J].管理工程学报2009年第3期,p72-79
    [47]Jones M,Ritz C J. Incorporating Distribution into New Products Diffusion Models [J]. International Journal of Research in Marketing,1991,8 (6): 91-112.
    [48]Rangaswamy A,Gupta S. Innovation Adoption and Diffusion in the Digital Environment:Some Research Opportunities [M].2000
    [49]Bass F M, Krishnan T V, Jain D C. Why the Bass Model F its Without Decision Variables [J].Marketing Science,1994,13 (3):p203-223.
    [50]Parker P, Gatignon H,Competitive effects in diffusion models [J]. Int J Res Marketing 199411:p17-39
    [51]胡知能,徐玖平,创新产品扩散的多阶段动态模型[J]系统工程理论与实践2005年4月,p15-21
    [52]Hani I.Mesak. Incorporating price, advertising and distribution in diffusion
    models of innovation:Some theoretical and empirical results. Computers Ops.Res.,1996,23(10):1007 - 1023
    [53]胡知能,创新产品市场扩散模型及其应用[D],四川大学博士学位论文,2005
    [54]Bardia Kamrad, Shreevardhan S. Lele, Akhtar Siddique,Robert J. Thomas, Innovation diffusion uncertainty, advertising and pricing policies[J], European Journal of Operational Research 164 (2005):p829-85
    [55]叶利生,创新扩散理论模型扩展及应用—以某地IPTV为例[J],管理工程学报,2008年第4期:p117-120
    [56]Rogers, E. M., Diffusion of Innovations[M], New York, Free Pres 1962
    [57]Levitt, T, Exploit the product life cycle[J], Harvard Business Review, (November/December 1967), p 81-84.
    [58]Rink,D. R.&J. Swan, Product Life Cycle Research:A Literature Review[J], Journal of Business Research Vol.78(September 1979),p219-242
    [59]Cox, W. E., Product life cycles as marketing models[J], Journal of Business, Vol.40,1967, p375-384.
    [60]J.A. SehumPeter何畏等译.经济发展理论[M].北京:商务印书馆,1990
    [61]Rogers, E. M., Diffusion of Innovations fifth editon[M], New York, Free Pres 2005
    [62]陈新辉、乔忠,产品生命周期的模糊识别模型[J],中国农业大学学报,2001年第6期,p1-6
    [63]龚菲,产品生命周期识别模型研究[D],南京航空航天大学硕士论文,2003
    [64]Ping-Teng Chang, Fuzzy stage characteristic-preserving product life cycle modeling[J],Fuzzy Sets and Systems,126 (2002),p 33-47
    [65]王伟强,技术创新扩散研究新思维[J],云南科技管理,1994(2).p15-18
    [66]F.M. Bass, A new product growth model for consumer durables[J], Management Science 15, (1969), p215-227
    [67]Mhaajan Vijay, Subhash Sharma. Simple algebraic estimation procedure of innovation diffusion models of new Product acceptance[J]. Technological Forecasting and Social Change,1986,30:331-346
    [68]Lawrence, Kenneth D., and William H.Lawton, Applications of Diffusion Models:Some Empirical Results, in Yoram Wind,Wijay Mahajan, and R.C.Cardozo, Eds., New-Product Forecasting[C],1981, pp:529-541.Lexington,Ma:Lexington Books.
    [69]Thomas, David D.1985, Reality and Assurance in Chrau Conditional Sentences, In Suriya Ratanakui, David Thomas and Suwilai Premsrirat (Eds.) [C] Southeast Asian Linguistic Studies Presented to Andre-Cx Haudricourt,. Bangkok:Mahidol University.525-540
    [70]Gatignon, H. Eliashberg, J. and Robertson, T:S, Modeling Multinational Diffusion Patterns; an Efficient Methodology[J], Marketing research, Vol.8,No.3, Summer1989.
    [71]Mhaajan Vijay, and Eitan Muffler, Innovation Diffusion in A Borderless Global Market:Will The 1992 Unification of the European Community Accelerate Diffusion of New Ideas, Products and Technologies? [J] Technological Forecasting and Social Change,1994,45,.221-235.
    [72]Srivastava, R.K. and Mahajan, V S.N; Ramaswami and J.Cherian, A Multi-Amibute Diffusion Model for Forecasting the Adoption of Investment Alternatives for Consumers[J], Technological Forecasting snd Social Change,28,pp325-333,1985
    [73]Christophe Van Den Bulte and Gary L. Lilien, Integrating Models of Innovation Adoption:Social Network Thresholds, [J] Utility Maximization, and Hazard Models,1999,27
    [74]Schmittlein. David C. & Mahajian Vijay, Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance[J],Marketing Science,(winter 1982), p57-78
    [75]Srinivasan. V. & Charlotte H. Mason, Nonlinear Least Squares Estimation of New Product Diffusion Models[J], Marketing Science, (Spring 1986),p168-178
    [76]Bretschneider. Stutart I. & Mahajian Vijay,Adaptive Technological Substitution Models[J], Technological Forecasting and Social Change, Vol.18(October 1980), p129-139
    [77]Lenk, Peter J. & Ambar G Rao New Models, From Old Forecasting Product Adoption by Hierarchical Bayes Procedures[J],Marketing Science, (Winter1990),p42-53
    [78]Jinhong Xie, X. Michael Song, Marvin Sirbu& Qiong Wang, Kalman Filter Estimation of New Product Diffusion Models[J], Journal of Marketing Research Vol.34 (August 1997), p378-393
    [79]官建成,创新扩散模型的研究进展与展望(上)[J],科学学与科学技术管理,1995,16(12):p14-8
    [80]官建成,创新扩散模型的研究进展与展望(下)[J],科学学与科学技术管 理,1996,17(1):p45-49
    [81]官建成等,产品创新扩散中的随机现象[J],中国管理科学,1994,3:p44-50
    [82]Hendry, I.,The Three Parameter Approach to Long Range Forecasting[J], Long Range Planning, Vol.51 (March 1973),p40-45
    [83]Dixon, Robert, Hybird Corn Revisited, Econometrica[J], Vol.48 (September 1980),p1451-1461
    [84]Sharif, M.Nawaz & C.Kabir, A Generalized Model for Forecasting Technological Substitution[J], Technological Forecasting and Social Change, Vol.8 (1976),p 353-364
    [85]Jeuland, Abel P., Parsimonious Models of Diffusion of Innovation working paper,Graguate School of Business[C]. University of Chicago 1980
    [86]Easingwood, Cheistopher J.,Mahajian, Vijay& Eitan Muller,A Nonumiform Influence Innovation Diffusion Model of New Product Acceptance[J], Marketing Science, (Summer 1983),p273-296
    [87]Easingwood, Cheistopher J.,Mahajian, Vijay& Eitan Muller, A Nonsymmetric Responding Logistic Model of Technological Substitution[J].Technological Forecasting and Social Change, Vol.20(October 1981),p199-213
    [88]Teotia, A.P.S. & P.S. Raju, Forecasting the Market Penetration of New Technologies Using a Combination of Economic Cost and Diffusion Models[J], Journal of Product Innovation Management,(December 1986),p225-237
    [89]Bewley, Ronald and Denzil G. Fribig, A Flexble Logistic Growth Model With Application in Telecommunications[J], International Journal of Forecasting, (1988 2),p177-192
    [90]Kalish, S.A, New Product Adoption Model[J]., Management Science, Vol.31, No.12,Dec.1985,p1569-1585
    [91]Norton, J.A.and Bass, F.M. A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products[J], Management Science,1987,vol.33:p1069-1086
    [92]Mahajan V,Muller E. Timing, Diffusion and Substitution of Successive Generations of Technological Innovations:The IBM Mainframe Case [J]. Technological Forecasting and Social Change,1996,51:p109-132.
    [93]Kim N,CHAN G D R, SHOCKER A D. Modeling Inter Category and Generational Dynamics for a Growing Information Technology Industry [J]. Management Science,2000,46 (4):p496-512.
    [94]Danaher P J,Marketing Mix Variables and the Diffusion of Successive Generations of a Technological Innovation [J]. Journal of Marketing Research, 2001,38(4):p501-514.
    [95]Jain, DC, V. Mahajan, and E. Muller, Innovation Diffusion in the Presence of Supply Restrictions[J], Marketing Science,1991 vol.10(Winter), p83-90.
    [96]Ho T.H, SAVINS, TERWIESCH C. Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint [J]. Management Science, 2002,48 (2):1872206.
    [97]官建成,张西武,政府中介机构及补贴对技术扩散速度的影响[J],技术政策研究,系统工程理论与实践,1995, vol.8:p6-12
    [98]Liken GL, Ran AG, Kalish S,Bayesian Estimation and Control of Detailing Effort in a Repeat Purchase Diffusion Environment[J]. Management Science, vol.27(1981):p493-506.
    [99]王海云,尚志田,重复购买的产品生命周期模型研究[J],中国管理科学,2002,10(2):p24-29
    [100]Golder P N, Tellis G J. Will It Ever Fly? Modeling the Takeoff of Really New Consumer Durables [J]. Marketing Science,1997,16 (3):256-270.
    [101]盛亚,新产品扩散过程的传播论[J].科技进步与对策,1999,16(4)32-33.
    [102]盛亚,,新产品采用的决策准则[J].数量经济技术经济研究,2002(7):81-84.
    [103]龚艳萍,李峰,基于消费者个体采用决策的新产品扩散模型综述[J].科技管理研究,2007年第6期,p239-242
    [104]何应龙 周宗放,国外新产品扩散模型研究的新进展[J]. 管理学报,2007年7月,p529-536
    [105]Oren S S, Schwartz R G. Diffusion of New Product in Risk-Sensitive Markets [J]. Journal of Forecasting,1988,7 (4):273-287.
    [106]Chatterjee R, Eliashber G J. The Innovation Diffusion Process in a Heterogeneous Population:A Micro modeling Approach [J]. Management Science,1990,36 (9):1057-1079.
    [107]Roberts J H, Urban G L. Modeling Multivariate Utility, Risk and Belief Dynamics for New Consumer Durable Brand Choices [J].Management Science, 1988,34 (2):167-185.
    [108]Halder S, Rao V R. A Micro-Analytic Threshold Model for the Timing of First Purchases of Durable Goods [J]. Applied Economics,1998,30:959-974.
    [109]Sinha R K, Chanderashkaran M. A,. A Split Hazard Model for Analyzing the Diffusion of Innovations [J]. Journal of Marketing Research,1992,29 (2): 116-127.
    [110]Winer R S. A Price Vector Model of Demand for Consumer Durables: Preliminary Developments [J]. Marketing Science,1985,4(1):74-90.
    [111]Holak S L, Lehmarin D R, Sulltan F. The Role of Expectation in the Adoption of Innovative Consumer Durables:Some Preliminary Evidence [J]. Journal of Retailing,1987,63 (3):243-259.
    [112]Briges. E,, Brieschr A,. A High-Tech Product Market Share Model with Customer Expectations [J]. Marketing Science,1995,14 (1):61-81.
    [113]Melnikov O. Demand for Differentiated Durables Products:The Case of the U. S. Computer Printer Market [C]. Working Paper. Department of Economics, Yale University.2000
    [114]Inseong Song. Empirical Analysis of Dynamic Consumer Choice Behavior: Micro modeling The New Product Adoption Process with Heterogeneous and Forward-Looking Consumers [D]. Chicago:The University of Chicago,
    [115]Bhargava S C, Kuma A. A stochastic cellular automata model of innovation diffusion [J]. Technological Forecasting and Social Change,1992,44:87-97.
    [116]Bhargava S C, Kuma A. A stochastic cellular automata model of innovation diffusion [J]. Technological Forecasting and Social Change,1993,44:87-97
    [117]Goldenberg J,Libai B, M uller E. Riding the saddle:how cross-market communications can create a major slump in sales[J]. Journal of Marketing, 2002,66 (2):1.
    [118]廖志高,徐玖平.技术创新横向扩散的元胞自动机模型及实证分析[J].科技管理研究,2004,(2):35-39.
    [119]Moldovan S, Goldenberg J. Cellular automata modeling of resistance to innovations:effects and solutions[J]. Technological Forecasting and Social Change,2004,71 (5):425-442.
    [120]Goldenberg J,Libai B, Muller E. Talk of the network:a complex system s look at the underlying process of Word to Mouth [J]. Marketing Letters,2001, 12 (3):211-223.
    [121]Lancioni, R., H. Schau, and M. Smith. Intra-organizational influences on business-to-business pricing strategies:A political economy perspective [J]. Industrial Marketing Management.2005,34:123-131
    [122]Dolan, R.J. and H. Simon. Power Pricing:How Managing Price Transforms the Bottom Line [M].New York:The Free Press,1996
    [123]Marn, M.V. and R.L. Rosiello. Managing price gaining profits [J]. Harvard Business Review.1992,70(5):84-94
    [124]Farrel, D. Beyond off shorting-Assess your company's global potential [J]. Harvard Business Review.2004,81(12):82-90
    [125]Friend, S.C. and P.H. Walker. Welcome to the new world of merchandising [J]. Harvard Business Review.2001, November:133-141
    [126]Boyd, E.A. and I.C. Bilegan. Revenue management and e-commerce [J]. Management Science.2003,49:1363-1386
    [127]Elmaghraby, W. and P. Keskinocak. Dynamic pricing in the presence of inventory considerations:research overview, current practices, and future directions [J]. Management Science.2003,49:1287-3091
    [128]Sodhi, M.S. and N.C. Sodhi. Six sigma pricing [J]. Harvard Business Review. 2005,82(5):135-142
    [129]Xie, J & M. Sirb. New product Diffusion Acceleration:Measurement and Analysis[J]. Marketing Science,1995,6:123-146
    [130]刘庆林基于网络外部性的产品扩散模型分析[J],中国工业经济·2004(4)-88-93
    [131]张洪钺主编:《最优控制理论和应用》,高等教育出版社,2006
    [132]Kamien MI, Schwartz NL. Dynamic Optimization:The Calculus of Variations and Optimal Control in Economics and Management.2nd. Ed[M]. New York:Elsevier Science Publishing Co.1991.
    [133]Sultan, F. Farley, J.U. & Lehmann, D.R., A meta-analysis of applications of diffusion models[J],Journal of Marketing Research, Vol.27 (February) 1990, pp.70-7.
    [134]Golder, P.N. & Tellis, G J., Will it ever fly? Modeling the takeoff of really new consumer durables[J], Marketing Science, Vol.16,1997, No.3,
    [135]Agarwal, R., Evolutionary trends of industry variables[J], International Journal of Industry Organization, Vol.16(July) 1998, pp.511-525.
    [136]Agarwal, R. & Bayus, B.L., The market evolution and sales takeoff of product innovations[J], Management Science, Vol.48, No.8,2002, pp.1024-41.
    [137]. Paul Ingenbleek, Marion Debruyne, Ruud T.Frmabaeh, etc. Successful New Product Pricing Practices A Contingency Approach[J], Marketing Letters, 2003(14):289 - 305.
    [138].E.J.Doekner,& .G E.Furehter Dynamic strategic Pricing and speed of diffusion[J], Journal of Optimization Theory and Applications,2004(2):331-348.
    [139]. Engelbert J.Doecker,&Andrea Gunaersdoerfer Strategic new Product pricing when demand obeys saturation effects[J], European Journal of Operational Research,1996(90):589 - 598.
    [140]吴建.应用广告学[M].成都:四川大学出版社,1999
    [141]张继康.广告经济学实用教程[M].上海:远东出版社,1998
    [142]Fruchter Gila E. A dual control problem and application to marketing[J]. European Journal of operational research.2001, Vol.130(1).99-110.
    [143]Fruchter Gila E. The many-player advertising game[J]. Management Science. 1999, Vol.45(Ⅰ1).Ⅰ609-1611.
    [144]Borden, N.H.,The concept of the Marketing Mix[J], Journal of Advertising Research,1957, June, pp 2-7.
    [145]McCarthy, E.J., Basic Marketing, a Managerial Approach[M], Homewood, Ⅰ.:1960,Richard D. Irwin, Inc..
    [146]Kotler, P. Marketing Management:Analysis, planning and Control, 1986,Fifth edition[M], Prentice-Hall, Englewood Cliffs, New Jersey.
    [147]Lauterborn, B.,New marketing litany:four Ps passe:C-words take over[J], Advertising Age.,1990,61 (41),, October, p26.
    [148]Schultz, D.E., Marketers:Bid Farewell to Strategy Based on old 4Ps[J],Marketing News Feb 1995, Vol.35. Nr.2 p7.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700