新書推薦:
《
社会情绪的传递与互动研究:以情感符号为视角 (光明社科文库·法律与社会)
》
售價:HK$
93.5
《
推荐系统核心技术与实践
》
售價:HK$
108.9
《
乌合之众:群体心理研究
》
售價:HK$
74.8
《
流浪的君子:孔子的最后二十年 王健文
》
售價:HK$
54.8
《
咨询的奥秘2:咨询师的百宝箱(珍藏版)
》
售價:HK$
76.8
《
中国近代思想与学术的系谱(增订版)
》
售價:HK$
107.8
《
失权者(三联生活周刊文丛)
》
售價:HK$
75.9
《
张元济的生平与事业:从清代改革家到二十世纪出版家
》
售價:HK$
85.8
內容簡介:
同类多产品并存扩散是一种很普遍的市场现象,如智能手机、平板电脑、新能源汽车等。因此,掌握多产品扩散规律不仅对于企业制定研发计划和营销策略十分重要,对于消费者选购产品也很有参考价值。对多产品扩散模型的研究有宏观和微观两种建模方法。基于宏观建模方法的多产品扩散模型已经有很多,但是这种模型存在一个很大的弊端,就是无法从微观层面解释宏观扩散结果,这严重限制了宏观模型的应用。另外,目前基于微观建模方法的多产品扩散模型还非常少,品牌竞争与代际替代并存的多产品扩散模型还未出现,而且仅有的少数模型均未经真实销售数据验证,只适用于理论分析,应用价值有限。基于上述情况,笔者用微观建模与仿真方法系统研究了3种情形下的多产品扩散问题。
關於作者:
乔健,西北工业大学管理学院副教授、硕士生导师。2006年12月于西安交通大学获得管理学博士学位。2013年12月赴美国亚利桑那大学埃勒管理学院访学1年。2015~2018年任信息管理系主任。兼任信息系统协会中国分会、陕西省应急管理学会和陕西省软科学研究会理事。担任European Journal of Operational Research、IEEE Transactions on Systems, Man and Cybernetics、Fuzzy Sets and Systems、IEEE/CAA Journal of Automatica Sinica、西安交通大学学报(自然版)、中国公路学报、长安大学学报(自然科学版)、南京航空航天大学学报(英文版)、系统仿真学报等期刊的匿名审稿人。
目錄 :
第1章 绪论··········································································································1
1.1 研究背景及意义······················································································1
1.2 研究进展·································································································3
1.2.1 多产品扩散模型··········································································4
1.2.2 线上口碑对扩散过程的影响·······················································6
1.2.3 社交网络对扩散过程的影响·······················································8
1.2.4 研究进展述评··············································································9
1.3 研究内容·······························································································10
1.3.1 消费者决策分析········································································10
1.3.2 多代产品扩散仿真····································································11
1.3.3 多品牌产品扩散仿真································································12
1.3.4 多品牌多代产品扩散仿真·························································12
1.4 研究思路及方法····················································································12
1.4.1 消费者决策分析········································································12
1.4.2 多代产品扩散仿真····································································13
1.4.3 多品牌产品扩散仿真································································13
1.4.4 多品牌多代产品扩散仿真·························································14
1.5 主要创新·······························································································14
1.6 本章小结·······························································································15
第2 章 相关理论与技术·····················································································16
2.1 效用理论·······························································································16
2.1.1 概述···························································································16
2.1.2 效用函数的由来········································································16
2.1.3 消费者偏好················································································17
2.1.4 效用函数的类型········································································18
2.1.5 边际效用····················································································19
2.1.6 期望效用····················································································20
2.1.7 间接效用····················································································21
2.1.8 预算约束····················································································21
2.2 模糊集理论····························································································22
2.2.1 概述···························································································22
2.2.2 概念定义····················································································23
2.2.3 模糊逻辑····················································································25
2.3 网络科学·······························································································28
2.3.1 概述···························································································28
2.3.2 网络属性····················································································29
2.3.3 网络模型····················································································32
2.4 ABMS理论与技术················································································35
2.4.1 什么是Agent ·············································································35
2.4.2 基于Agent的模型····································································36
2.4.3 Repast Symphony建模仿真平台···············································38
2.4.4 Mesa建模仿真框架···································································41
2.5 本章小结·······························································································44
第3章 消费者决策分析··················································3