경쟁산품선적영향(竞争产品线的影响): 관주전두품패(关注战斗品牌) (The Effects of Product Line Rivalry: Focusing on the Issue of Fighting Brands)
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- 마케팅과학연구
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- 제19권4호
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- pp.24-31
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- 2009
公司生产不同功能, 设计, 颜色的产品. 产品扩散的出现有三个不同的原因. 当存在规模经济, 当这种产品和别的产品一起生产时, 单位成本比单独生产要低. 二, 消费者是异构的, 即它们具有不同的品味, 喜好, 或价格弹性. 一家公司可赚取细分为具有类似特点的不同群体的消费者更多的利润. 例如, 产品扩散通过更准确地满足不同消费者的需要来帮助公司增加利润. 产品扩散的第三个原因是基于战略. 生产一定数量的产品, 不仅可以阻止通过提供给一些少数市场的产品进入, 也使得公司可以有效地应付低价格进入. 通过生产各种产品, 公司可以减少利基, 使潜在进入者有较少进入的诱因. 此外, 企业可以生产新产品来应对进入, 我们称之为战斗品牌. 也就是说, 当一个进入者试图以低廉的价格吸引消费者, 已存在者介绍新的低质量的产品, 同时保持现有产品的价格. 产品扩散的缺点是同型装配. 一些买了高价位的产品的消费者会转向低价位的产品. 此外, 当新产品与对手现有的产品的异化程度不高时, 由于激烈的竞争, 产品扩散会降低利润. 许多研究已经在经济分析和市场营销等领域的产品线竞争的影响. 它们展示了一个垄断者可以通过调整质量来解决市场中的消费者对质量的偏好不同的同型装配的问题. 他们发现, 喜欢高品质的产品的消费者将获得他或她最喜欢的质量, 但没有这方面的偏好的消费者将获得比他或她所喜爱的质量低的产品. 本研究分析了产品的竞争在一个双头垄断市场, 两种不同类型的消费者对质量偏好的影响. 我假设这两家公司将在这个意义上的不对称, 一个运营商可以同时生产高, 低质量的产品, 而一个进入者只能产生低质量的产品. 产品扩散的影响是可以通过比较市场结果来解释, 当已存在的运营商生产两种产品和只生产一种产品时. 在这个案例中, 当已存在的运营商只生产高品质的产品, 由于激烈的竞争, 在喜欢低质量产品的消费群中低质量的产品价格趋于下降. 但由于缺乏竞争, 在喜欢高质量产品的消费群中价格会上涨. 据了解, 当企业在进行价格竞争时, 理想状况是当公司的对 手提高价格时, 此公司也提高价格, 这被称为战略补充. 由于价格是战略性的补充, 我们有两种相反的效果. 事实证明, 一个高品质的产品价格上升, 因为竞争力减弱的积极作用超过了战略互补的负面影响. 这意味着, 已存在的运营商推出了低质量的产品时还需要增加高品质产品的价格. 然而, 在进入者的低质量产品的价格变化是模糊的. 二, 此案例中, 已存在的运营商只生产低品质的产品, 在偏好低质量的消费群中价格往往增加. 但在偏好高质量的消费群中价格往往下降. 低质量产品的价格下降是因为负面影响大于正面影响. 而且, 当已存在的运营商生产两种产品时, 其低质量产品的价格往往较高, 尽管两家的低品质的产品质量一样. 此原因由于对高品质产品价格的负面影响, 运营商没有较大的动机去降低低品质产品的价格. 事实上, 竞争的产品线对利润的影响不仅取决于价格变化, 还取决于销售和同型装配. 如果在边际成本同产品质量的差异相比是适中的话, 产品扩散的积极影响大于负面影响, 从而增加利润. 此外, 如果成本差异是非常大(小), 运营商最好只生产一种低 (高)质量的产品. 而且, 本研究还分析了当公司通过关注战斗品牌来决定产品特征时, 竞争产品线的影响. 最近, 大韩航空和韩亚航空公司建立了廉价航空线路, 分别是Jin线路和釜山线. 来应对Hansung航空和济州航空. 另外, 很多网上书店也进入市场, 例如处于领先地位的实体书店Kyobo已经有了自己的网上书店. 通过战斗品牌, 在它的低品质产品跟新成员比起来有差别时, 一个具有高品质产品的运营商通过生产更多的低质量产品可以增加利润.
1. The 'Kao Zheng Pai(考證派) comes from the 'Zhe Zhong Pai' and is a school that is influenced by the confucianism of the Qing dynasty. In Japan Inoue Kinga(井上金娥), Yoshida Koton(吉田篁墩) became central members, and the rise of the methodology of historical research(考證學) influenced the members of the 'Zhe Zhong Pai', and the trend of historical research changed from confucianism to medicine, making a school of medicine based on the study of texts and proving that the classics were right. 2. Based on the function of 'Nei Qu Li '(內驅力) the 'Kao Zheng Pai', in the spirit of 'use confucianism as the base', researched letters, meanings and historical origins. Because they were influenced by the methodology of historical research(考證學) of the Qing era, they valued the evidential research of classic texts, and there was even one branch that did only historical research, the 'Rue Xue Kao Zheng Pai'(儒學考證派). Also, the 'Yi Xue Kao Zheng Pai'(醫學考證派) appeared by the influence of Yoshida Kouton and Kariya Ekisai(狩谷掖齋). 3. In the 'Kao Zheng Pai(考證派)'s theories and views the 'Yi Xue Kao Zheng Pai' did not look at medical scriptures like the "Huang Di Nei Jing"("黃帝內經") and did not do research on 'medical' related areas like acupuncture, the meridian and medicinal herbs. Since they were doctors that used medicine, they naturally were based on 'formulas'(方劑) and since their thoughts were based on the historical ideologies, they valued the "Shang Han Ja Bing Lun" which was revered as the 'ancestor of all formulas'(衆方之祖). 4. The lives of the important doctors of the 'Kao Zheng Pai' Meguro Dotaku(目黑道琢) Yamada Seichin(山田正珍), Yamada Kyoko(山田業廣), Mori Ritsi(森立之) Kitamura Naohara(喜多村直寬) are as follows. 1) Meguro Dotaku(目黑道琢 1739
1.The 'Kao Zheng Pai'(考證派) comes from the 'Zhe Zhong Pai(折衷派)' and is a school that is influenced by the confucianism of the Qing dynasty. In Japan Inoue Kinga(井上金峨), Yoshida Koton(古田篁墩
Digital Convergence means integration between industry, technology, and contents, and in marketing, it usually comes with creation of new types of product and service under the base of digital technology as digitalization progress in electro-communication industries including telecommunication, home appliance, and computer industries. One can see digital convergence not only in instruments such as PC, AV appliances, cellular phone, but also in contents, network, service that are required in production, modification, distribution, re-production of information. Convergence in contents started around 1990. Convergence in network and service begins as broadcasting and telecommunication integrates and DMB(digital multimedia broadcasting), born in May, 2005 is the symbolic icon in this trend. There are some positive and negative expectations about DMB. The reason why two opposite expectations exist is that DMB does not come out from customer's need but from technology development. Therefore, customers might have hard time to interpret the real meaning of DMB. Time is quite critical to a high tech product, like DMB because another product with same function from different technology can replace the existing product within short period of time. If DMB does not positioning well to customer's mind quickly, another products like Wibro, IPTV, or HSPDA could replace it before it even spreads out. Therefore, positioning strategy is critical for success of DMB product. To make correct positioning strategy, one needs to understand how consumer interprets DMB and how consumer's interpretation can be changed via communication strategy. In this study, we try to investigate how consumer perceives a new product, like DMB and how AD strategy change consumer's perception. More specifically, the paper segment consumers into sub-groups based on their DMB perceptions and compare their characteristics in order to understand how they perceive DMB. And, expose them different printed ADs that have messages guiding consumer think DMB in specific ways, either cellular phone or personal TV. Research Question 1: Segment consumers according to perceptions about DMB and compare characteristics of segmentations. Research Question 2: Compare perceptions about DMB after AD that induces categorization of DMB in direction for each segment. If one understand and predict a direction in which consumer perceive a new product, firm can select target customers easily. We segment consumers according to their perception and analyze characteristics in order to find some variables that can influence perceptions, like prior experience, usage, or habit. And then, marketing people can use this variables to identify target customers and predict their perceptions. If one knows how customer's perception is changed via AD message, communication strategy could be constructed properly. Specially, information from segmented customers helps to develop efficient AD strategy for segment who has prior perception. Research framework consists of two measurements and one treatment, O1 X O2. First observation is for collecting information about consumer's perception and their characteristics. Based on first observation, the paper segment consumers into two groups, one group perceives DMB similar to Cellular phone and the other group perceives DMB similar to TV. And compare characteristics of two segments in order to find reason why they perceive DMB differently. Next, we expose two kinds of AD to subjects. One AD describes DMB as Cellular phone and the other Ad describes DMB as personal TV. When two ADs are exposed to subjects, consumers don't know their prior perception of DMB, in other words, which subject belongs 'similar-to-Cellular phone' segment or 'similar-to-TV' segment? However, we analyze the AD's effect differently for each segment. In research design, final observation is for investigating AD effect. Perception before AD is compared with perception after AD. Comparisons are made for each segment and for each AD. For the segment who perceives DMB similar to TV, AD that describes DMB as cellular phone could change the prior perception. And AD that describes DMB as personal TV, could enforce the prior perception. For data collection, subjects are selected from undergraduate students because they have basic knowledge about most digital equipments and have open attitude about a new product and media. Total number of subjects is 240. In order to measure perception about DMB, we use indirect measurement, comparison with other similar digital products. To select similar digital products, we pre-survey students and then finally select PDA, Car-TV, Cellular Phone, MP3 player, TV, and PSP. Quasi experiment is done at several classes under instructor's allowance. After brief introduction, prior knowledge, awareness, and usage about DMB as well as other digital instruments is asked and their similarities and perceived characteristics are measured. And then, two kinds of manipulated color-printed AD are distributed and similarities and perceived characteristics for DMB are re-measured. Finally purchase intension, AD attitude, manipulation check, and demographic variables are asked. Subjects are given small gift for participation. Stimuli are color-printed advertising. Their actual size is A4 and made after several pre-test from AD professionals and students. As results, consumers are segmented into two subgroups based on their perceptions of DMB. Similarity measure between DMB and cellular phone and similarity measure between DMB and TV are used to classify consumers. If subject whose first measure is less than the second measure, she is classified into segment A and segment A is characterized as they perceive DMB like TV. Otherwise, they are classified as segment B, who perceives DMB like cellular phone. Discriminant analysis on these groups with their characteristics of usage and attitude shows that Segment A knows much about DMB and uses a lot of digital instrument. Segment B, who thinks DMB as cellular phone doesn't know well about DMB and not familiar with other digital instruments. So, consumers with higher knowledge perceive DMB similar to TV because launching DMB advertising lead consumer think DMB as TV. Consumers with less interest on digital products don't know well about DMB AD and then think DMB as cellular phone. In order to investigate perceptions of DMB as well as other digital instruments, we apply Proxscal analysis, Multidimensional Scaling technique at SPSS statistical package. At first step, subjects are presented 21 pairs of 7 digital instruments and evaluate similarity judgments on 7 point scale. And for each segment, their similarity judgments are averaged and similarity matrix is made. Secondly, Proxscal analysis of segment A and B are done. At third stage, get similarity judgment between DMB and other digital instruments after AD exposure. Lastly, similarity judgments of group A-1, A-2, B-1, and B-2 are named as 'after DMB' and put them into matrix made at the first stage. Then apply Proxscal analysis on these matrixes and check the positional difference of DMB and after DMB. The results show that map of segment A, who perceives DMB similar as TV, shows that DMB position closer to TV than to Cellular phone as expected. Map of segment B, who perceive DMB similar as cellular phone shows that DMB position closer to Cellular phone than to TV as expected. Stress value and R-square is acceptable. And, change results after stimuli, manipulated Advertising show that AD makes DMB perception bent toward Cellular phone when Cellular phone-like AD is exposed, and that DMB positioning move towards Car-TV which is more personalized one when TV-like AD is exposed. It is true for both segment, A and B, consistently. Furthermore, the paper apply correspondence analysis to the same data and find almost the same results. The paper answers two main research questions. The first one is that perception about a new product is made mainly from prior experience. And the second one is that AD is effective in changing and enforcing perception. In addition to above, we extend perception change to purchase intention. Purchase intention is high when AD enforces original perception. AD that shows DMB like TV makes worst intention. This paper has limitations and issues to be pursed in near future. Methodologically, current methodology can't provide statistical test on the perceptual change, since classical MDS models, like Proxscal and correspondence analysis are not probability models. So, a new probability MDS model for testing hypothesis about configuration needs to be developed. Next, advertising message needs to be developed more rigorously from theoretical and managerial perspective. Also experimental procedure could be improved for more realistic data collection. For example, web-based experiment and real product stimuli and multimedia presentation could be employed. Or, one can display products together in simulated shop. In addition, demand and social desirability threats of internal validity could influence on the results. In order to handle the threats, results of the model-intended advertising and other "pseudo" advertising could be compared. Furthermore, one can try various level of innovativeness in order to check whether it make any different results (cf. Moon 2006). In addition, if one can create hypothetical product that is really innovative and new for research, it helps to make a vacant impression status and then to study how to form impression in more rigorous way.