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Bass模型的扩展研究
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摘要
技术扩散是技术创新研究的一个重要领域,是广义技术创新的后续过程。技术扩散过程由于涉及多方面的因素,预测非常困难。本文构建了XYZ模型,并以我国电信业为例进行技术扩散过程的实证研究。
     本文以经典的Bass模型为基础构建XYZ技术扩散模型。XYZ模型假设技术扩散过程受潜在价值预期和实际使用效果两方面因素推动,潜在价值预期是独立于扩散进程并且不可持续,而实际使用效果则由技术提供者根据最优投资决策确定。XYZ模型修正了传统Bass模型与现实不符的部分假设,克服了Bass仅能预测成功的扩散的严重缺点,能够更精确地预测技术扩散过程。
     本文还对XYZ模型进行扩展,建立了多参数预测模型、简约模型和存在竞争性技术提供者的扩散模型。多参数模型将技术提供者、使用者以及技术本身的多项影响因素纳入到模型中,使模型的预测更加准确,适用范围更广。简约模型在保留可变潜在价值预期和实际使用价值这两项重要假设的前提下,将XYZ模型缩减为一条方程,使模型可以用于分析同一技术在不同环境下扩散过程的差异。存在竞争性技术提供者的扩散模型考虑了市场上多个技术提供者之间的竞争问题,可以用于对市场竞争格局进行分析。
     借助XYZ模型,本文实证分析了移动通信技术和互联网宽带接入技术的扩散趋势以及影响扩散过程的主要因素。实证分析结果显示,我国移动通信市场正处于快速发展阶段,未来年均增长率在7%左右,而互联网宽带接入市场还处于发展初期,难以与移动通信市场抗衡。固话运营商和移动运营商之间的业务收入差距将继续扩大,如果不进行改革,市场将无法实现有效竞争。
     本文最后利用技术扩散模型分析了存在网络外部性技术的竞争市场的特征,并根据电信业的特点就电信业改革提出建议:1.进一步开放电信市场,引入虚拟电信运营商。2.推动网络运营商之间的全面互联互通,降低运营商服务的网络外部性。3.构建电信服务交易市场,实现全方位竞争局面。4.规范电信服务信息披露制度,提高服务的透明度。
Technology diffusion is an important field in technology innovation research. It is the proceding process of broad technology diffusion process. The technology diffusion process is difficult to forecast, because of its complexity. This essay constructed the XYZ model, and empirically analysed the technology diffusion process of China telecomunication industry.
     This essay formulated the XYZ technology diffusion model, based on Bass diffusion model. XYZ model assumed the technology diffusion process is influenced by two factors: potential value expectation and real usage performance. The potential value expectation is independent from diffusion process and unpersistable. The real usage performance is driven by technology supplier, based on their best investment decision. XYZ model justified the assumption of Bass model, overcomed the deficit of Bass model, that the model can only forecase the succeed process but not the failure process. XYZ model includes more input variables than Bass model, which result in more percise forecasting and wider usage area.
     This essay also extended the XYZ model to multi-variable forecasting model, concised model and multiple player competition model. Multi-variable forecasting model put the factors from technology supplier, user, and the technology itself into the model, make the model more percise. The concise model simplify the model into only one equation, make the model applicable to the comparasion search. The multiple player model considered the situation that many competitors compet in the market and can be used in market competition structure analysis.
     Based on XYZ model, the essay empirically analysed the diffusion process of mobile technology and internet broad-band access technology in China. The research showed that the mobile technology is in the middle term of diffusion process. In the short future, the annual growth rate will excess 7%. The internet broad-band access technology is still in the beginning of the diffusion process, the growth rate is low. The fixed-line network operator is difficult to compete with moble network operator without market reform.
     The essay finally use diffusion model to analyse the market structure and give advice in telecommunication industry reform: 1. open the telecommunication market and import virtual network operator. 2. promote the complete free inter-connection of operators to reduce the network externality. 3. build telecommuniation service exchange to achieve total competition. 4. regulate the information disclosure system to improve the service transparency.
引文
[1]鲍宁远,通信网业务预测软件技术探讨,邮电规划,2003.6:13-20
    [2]蔡莉,高技术扩散规律的研究,科学学与科学技术管理,1994(8)
    [3]曾星,市场扩散研究Bass模型在我国营销中的应用,北京工商大学硕士学位论文,2002
    [4]董景荣等,预测新产品市场扩散的状态空间方法研究,统计研究,2000:6
    [5]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,科技管理研究,2007.6
    [6]古扎拉蒂,计量经济学(第三版上、下册),中国人民大学出版社,2000年3月中译本
    [7]官建成,创新扩散模型的研究进展与展望(上、下),科学学与科学技术管理,1995
    [8]官建成,再论高技术扩散模型的研究,科学学与科学技术管理,1995,16(8):30-3
    [9]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,技术政策研究,系统工程理论与实践,1995,8:6-12
    [10]官建成等,产品创新扩散中的随机现象,中国管理科学,1994,3:44-50[11]官建成等,创新扩散的概念及其研究方法,化工技术经济,1996,1:23-27
    [12]何应龙,周宗放,国外新产品扩散模型研究的新进展,管理学报,2007.4
    [13]胡宝民,董友等,更替性技术创新扩散系统演化模型研究,河北工业大学学报,2002,31(2):33-37
    [14]胡知能,付吉云,我国通讯产品扩散的模型分析,经济数学,2005.1
    [15]黄长征,Bass产品扩散模型在推广通信新业务中的应用,北京邮电大学硕士学位论文
    [16]金兼斌(2001),互联网在中国大陆的扩散,中华传播学会2001“华人社会的传播研究”国际学术研讨会,2001年7月3日一5日,香港。
    [17]李子奈,叶阿忠,高等计量经济学,清华大学出版社,2002-10-01,pp123-126
    [18]刘超,王君祥,宋海荣,创新扩散模型的研究综述,科技管理研究,2007.5
    [19]卢纹岱,金水高,SAS/PC统计分析软件实用技术,国防工业出版社,1996
    [20]陆瑾,技术演化Logistic模型的扩展:多种技术创新演化的选择过程分析,价值工程,2006.5
    [21]罗荣桂和江涛,基于SIR传染病模型的技术扩散模型的研究,管理工程学报,2006.1
    [22]饶睿和胡河宁,技术扩散过程中的非技术性限制因素分析及对策研究,科技进步与对策,2007.2
    [23]盛亚,技术创新扩散与新产品营销,北京,中国发展出版社,200.2,5即303-304
    [24]盛亚,技术创新扩散与新产品营销,中国发展出版社,2002
    [25]盛亚,技术创新扩散与新产品营销,中国发展出版社,2002.5,149-150
    [26]盛亚,吴健中,新产品市场扩散Bass模型族的研究,预测,1999,2:71-74
    [27]万谦,董景荣,万涛,创新特征对技术扩散的影响,工业技术经济,2006.1
    [28]王海云,尚志田,重复购买的产品生命周期模型研究,中国管理科学,2002,10(2):24-29
    [29]王伟强,技术创新扩散研究新思维,云南科技管理,1994(2),15-18
    [30]武春友,戴大双,苏敬勤,技术创新扩散,化学工业出版社,北京,1997,pp18-23
    [31]谢识予,计量经济学,高等教育出版社,上海社会科学院出版社,2000年7月第1版
    [32]杨敬辉,采用Norton模型对产品更新换代扩散趋势的研究,科学学研究,2005,5
    [33]杨敬辉,武春友,技术扩散模型及其在移动上网用户扩散的实证研究,管理评论,2006
    [34]余迎新等,技术创新空间扩散机理研究,河北大学学报,2002,22(2):124-128
    [35]张彬等,产品扩散模型在Internet采用者分析中的应用,中国管理科学,2002,10(2):51-56
    [36]中国移动上市公司年报,www.Chinamobile.com
    [37]张荣,张秋红,关于旅游产品扩散的量化研究,技术经济,2003.5
    [38]张志涌等,精通MATLAB.65版,北京航空航天大学出版社,2003
    [39]赵国庆,杨健,经济数学模型的理论与方法,北京,中国金融出版社,2003.9
    [40]中国互联网络发展状况统计报告,中国互联网络信息中心
    [41]中国信息产业部网站,统计数据,www.mii.gov.cn
    [42]朱继文,叶乃沂,BASS产品扩散模型在电子商务研究中的应用,科技进步与对策,2005.9
    [43]Bass,F.M.,Gordon,K.,Ferguson,T.L.and Githens,M.L.,DIRECTV:Forecasting diffusion of a new technology prior to product launch,Interfaces 31,2001,May/June,pp.S82-S93.
    [44]Bass,F.M.,ANew Product Growth Model for Consumer Durable,Management Science,1969,15(5):PP215-227
    [45]Bass,F.M.,Jain,D.and Krishnan,T.,Modelling the marketing influence in new product diffusion. In: V. Mahajan, E. Muller and Y. Wind, Editors, New product diffusion models, Kluwer Academic Publishers, London, 2000, pp. 99 - 122.
    
    [46]Baumgartner, H. and Steenkamp, J.B.E.M., An investigation into the construct-validity of the arousal seeking tendency scale, version 2, Educational and Psychological Measurement 54, 1994, pp. 993 - 1001.
    
    [47]Bayus, B. L., High Definition Television: Assessing Demand Forecasts for Next Generation Consumer Durable, Management Science 39,1319-1333,1993
    
    [48]Bemmaor, A.C. and Lee, J., The impact of heterogeneity and ill-conditioning on diffusion model parameter estimates, Marketing Science 21, 2002, pp. 209 - 220.
    
    [49]Bernhardt, I. and Mackenzie, KD., Some Problems in Using Diffusion Models for New Products, Management Science, 1972
    
    [50]Bewley, R. and Griffiths, W., The penetration of CDs in the sound recording market: Issues in specification, model selection and forecasting, International Journal of Forecasting 19, 2003,1, pp. 111-121.
    
    [51]Boswijk, H.P. and Franses, P.H., On the econometrics of the Bass diffusion model, Journal of Business and Economic Statistics 23, 2005,3, pp. 255 - 268.
    
    [52]Brock, G. W., The US Computer Industry: A Study of Market Power, Ballinger, Cambridge, MA, 1975
    
    [53]Bulte, V.D.C. and Lilien, GL., Integrating Models of Innovation Adoption: Social Network Thresholds, Utility Maximization, and Hazard Models, 1997, 27
    
    [54]Chen, WS. and Chen, KF.,MODELING PRODUCT DIFFUSION BY SYSTEM DYNAMICS APPROACH, Journal of the Chinese Institute of Industrial Engineers, 2007
    
    [55]Daisuke S., A Discrete Bass Model and Its Parameter Estimation, Journal of the Operations Research Society of Japan, 2001, 44:1-18
    
    [56]Dan H., A Diffusion Model Incorporating Product Benefits, Price, Income and Information, Marketing Science, 1990:342-355
    
    [57]Danaher,P.J., Hardie, B.GS. and Putsis, W.P., Marketing-mix variables and the diffusion of successive generations of a technological innovation, Journal of Marketing Research 38, 2001, pp. 501-514.
    
    [58]Desiraju,R.,Nair, H. and Chintagunta, P., Diffusion of new pharmaceutical drugs in developing and developed nations, International Journal of Research in Marketing 21, 2004, pp. 341 - 357.
    
    [59]Easingwood, C, Mahajan, V. and Muller, E., A Non-Uniform Influence Innovation Diffusion Model of New Product Acceptance, Marketing Science, 1983:273-295
    
    [60]Eliashberg, J and Elberse, A., Demand and Supply Dynamics for Sequentially Released Products in International Markets:The Case of Motion Pictures, Management Science, 2003
    
    [61]Fernandez,V., Decisions to replace consumer durable goods: An econometric application of Weiner and renewal process, The Review of Economics and Statistics 82, 2000, 3, pp. 452 - 461.
    
    [62]Frank,L.D., An analysis of the effect of the economic situation on modelling and forecasting the diffusion of wireless communications in Finland, Technological Forecasting and Social Change 71, 2004, pp. 391 - 403.
    
    [63]Furman,L., Porter,M.E. and Stern,S., The determinants of national innovative capacity, Research Policy 31,2002, pp. 899 - 933.
    
    [64]Gatignon, H., J. Eliashberg, T.S. Robertson, Modeling Multinational Diffusion Patterns: An Efficient Methodology, Marketing Science, 1989.8
    
    [65]Geroski,P.A., Models of technology diffusion, Research Policy 29, 2000, pp. 603 - 625.
    
    [66]Goldenberg, J., Libai, B., Solomon, S., Jan, N. and Stauffer, D., Marketing percolation, Physica A 284, 2000, pp. 335 - 347.
    
    [67]Grewal,R.,Mehta, R. and Kardes, F.R., The timing of repeat purchases of consumer durable goods: The role of functional bases of consumer attitudes, Journal of Marketing Research 41, 2004, 1, pp. 101-115.
    
    [68]Griliches, Z., Hybrid Corn: An Exploration in the Economics of Technological Change,Econometrica, Vol.25, No.4,1957.10
    
    [69]Gutti6rrez, R., Nafidi, A. and Guttierrez, R.S., Forecasting total natural gas consumption in Spain by using the stochastic Gompertz innovation diffusion model, Applied Energy 80, 2005, pp. 115-124.
    [70]Hausman,J.,Mobile telephone.In:M.E.Cave,Editor,Handbook of telecommunications economics vol.1,Elsevier Science B.V.,2002,pp.564-604 Chapter 13.
    [71]Jones,J.M.and Ritz,C.J.,Incorporating Distribution into New Product Diffusion Models,International Journal of Marketing,1991:91
    [72]Joseph,S.,The Theory of Economic Development,Cambridge,Massachusetts:Harvard University Press,1912
    [73]Jukic,D.and Scitovski,R.,The Existence of Optimal Parameters of the Generalized Logistic Function,Applied Mathematics and Computation,Vol.77,1996
    [74]Jun,D.B.,Kim,S.K.,Park,Y.S.,Park,M.H.and Wilson,A.R.,Forecasting telecommunication service subscribers in substitutive and competitive environments,International Journal of Forecasting 18,2002,pp.561-581.
    [75]Klibanoff,P.and Morduch,J.,Decentralization,Externalities,and Efficiency,The Review of Economic Studies,1995.62
    [76]Kumar,S.and Swaminathan,J.M.,Diffusion of innovations under supply constraints,Operations Research 51,2003,pp.866-879.
    [77]Kuznets,S.,Equilibrium Economics and Business-Cycle Theory,The Quarterly Journal of Economics,1930.5
    [78]Lenk,P.J.and Ambar,G.R.,New Models from Old:Forecasting Product Adoption by Hierarchical Bayes Procedures,Marketing Science,1990,9
    [79]Mahajan,V.and Peterson,R.A.,Models for innovation diffusion,Sage,California,USA,1985
    [80]Mahajan,V.and Wind,Y.,Innovation Diffusion Models of New Product Acceptance,Cambridge,Mass.:Ballinger,1986
    [81]Mahajan,V.,Muller,E.and Bass,F.M.,New Product Diffusion Models in Marketing:A Review and Dierctions for Research,Journal of Marketing,Vol.54(1990),PP1-26
    [82]Mansfield,E.,Technological Change and the Rate of Imitation,Econometrica,No.4,Vol.29,1961
    [83]Meade,N.and Islam,T.,Modelling and forecasting the diffusion of innovation-A 25-year review,International Journal of Forecasting,Vol.22,Issue 3,2006
    [84]Modis,T.,Technological Substitution in the Computer Industry,Technological Forecasting and Social Change,1993:157-167
    [85]OECD Broad Statistics,OECD,www.oecd.org
    [86]Putsis,W.P.and Seenu,S.,Estimation Techniques for Marco Diffusion Models,1999,236(32)
    [87]Putsis,W.P.and Srinivasan,V.,Estimation Techniques for Marco Diffusion Models,New-Product Diffusion Models,Kluwer Academic Publishers,2000
    [88]Puumalainen,K.and Sundqvist,S.,Global diffusion of telecommunications innovations:a cross-cultural review
    [89]Reinganum,JE,On the Diffusion of New Technology:A Game Theoretic Approach,The Review of Economic Studies,Vol.48,No.3,1981
    [90]Roger M.Heeler.Thomas P.Hustad.,Problems in Predicting New Product Growth for Consumer Durables,Management Science,Vol.26,No.10,1007-1020.Oct.,1980
    [91]Rogers,E.M.,Diffusion of Innovations,Free Press,1983
    [92]Rogers,EM.and Shoemaker,FF.,Communication of Innovations:A Cross-Cultural Approach,New York:The Free Press,1971
    [93]Ryan,B.and Gross,NC.,The diffusion of hybrid seed corn in two Iowa communities,Rural Sociology,1943
    [94]Schmittlein,D.C.and Mahajall,V.,Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance,Marketing Science,1982,1:57-78
    [95]Srinivasan,V.and Chalotte,H.,Nonlinear Least Squares Estimation of New Product Diffusion Models,Marketing Science,1986,5:169-178
    [96]Sultan,F.,Farley,J.U.and Lehmann,D.R.,A Meta-Analysis of Application of Diffusion Models,Journal of Marketing Research,1990.70-77
    [97]Tanny,SM.and Derzko,NA.,Innovators and imitators in innovation diffusion modeling,Journal of Forecasting,1988
    [98]Tarde,G,The Laws of Imitation,translated by E.C.Parsons with introduction by F.Giddings, New York,Henry,Holt and Co.(1903),p382
    [99]Tse,E.,Class Notes Handout #6,EESOR331,Department of Management Science and Engineering,Stanford University,1997
    [100]Venkatesan,R.,Krishnan,T.V.and Kumar,V.,Evolutionary estimation of macro-level diffusion models using genetic algorithms:An alternative to nonlinear least squares,Marketing Science 3,2004,pp.451-464.
    [101]Wang,W.,Xie,M.,and Tsui,K.,Forecasting of Mobile Subscriptions in Asia Pacific Using Bass Diffusion Model,Management of Innovation and Technology,2006 IEEE
    [102]Wareham,J.,Levy,A.and Shi,W.,Wireless diffusion and mobile computing:Implications for the digital divide,Telecommunications policy 28,2004,pp.439-457.
    [103]Wright,M.,A Validation of the Bass New Product Diffusion Model in New Zealand,Marketing Bulletin,1997:8
    [104]Ziss,S.,Strategic R & D with Spillovers,Collusion and Welfare,The Journal of Industrial Economics,Vol.42,No.4,1994

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