双寡头垄断下中国大飞机的战略选择

全球民机制造市场处于美国波音和欧洲空客的双寡头垄断之下,两家公司占80%以上的市场份额,中国商飞将直接面对波音和空客同等机型的竞争。未来30年,全球航空市场将继续保持高速增长,中国和亚太是全球最具成长性的市场。应大力创新发展中国大飞机,依靠政府支持,技术创新形成中国大飞机的产品竞争力;借助金融支持,模式创新形成中国大飞机的市场竞争力;进行产业链整合,系统创新形成中国大飞机的产业竞争力。     

价值工程理论在国际营销中的应用

工业价值工程是以提高研究对象的价值为目的的,价值工程理论可以用于研究企业的国际市场营销活动,提高企业经营活动中所提供的产品功能与成本的比值。价值工程可以用于研究营销活动功能与成本的合理匹配,以达到最优化的价值目标。从事国际市场营销活动的企业,可以根据价值工程理论,从4P’S出发,制定有效的营销策略和选择最佳的营销组合来提高营销价值。     

一种基于ANN的市场营销组合策略模型

应用人工神经网络,充分考虑影响产品市场占有率的各种因素,建立相应的神经网络模型。借此对市场营销组合策略进行前瞻性分析,有助于企业根据市场特点,有针对性的选择市场营销组合策略,从而提高企业产品的市场占有率。     

构建和谐营销新体系促进和谐社会的发展

在全国构建和谐社会的大背景下,本文认为现代企业应该树立和谐营销观念,构建和探索可持续的和谐营销体系,以促进我国和谐社会的发展。     

Engaged,but with what? Objects of engagement in technology-aided B2B customer interactions

ABSTRACT

Using new technologies in customer interactions is a popular way of trying to increase customer engagement. It is, however, unknown how such efforts by marketers’ affect engagement, and particularly to what that engagement relates to. By analysing interview and observation data, the engagement manifestations of customers of a B2B company using virtual-reality technology were studied. The results show that customer engagement can be targeted at not only brands or firms but also the service the firm offers or the technology that enables the service. It is argued that the different objects of engagement can coexist and support each other but engagement with the firm is less susceptible to fluctuations. Marketers should be aware of what triggers customer engagement and what it is targeted at.     

Live streaming commerce from the sellers’ perspective: implications for online relationship marketing

ABSTRACT

Live streaming has recently become a popular direct selling channel which offers small, self-employed sellers unseen levels of consumer interaction and engagement. While the extant research focused on consumer motivation and intention to shop via live streaming, little is known from the seller’s perspective. Indeed, the potential advantages of live streaming commerce are accessible to everyone, but sellers experience different levels of success with this medium. Using a mixed quantitative and qualitative approach, this study analyses Facebook data of live streaming sellers to assess the nature and extent of engagement metrics, and delineate the dynamic, interactive live streaming sales process. We identify four sales approaches and twelve strategies adopted in acquiring and retaining customers. This typology of sales approach representing seller-focused antecedents is mapped against the relationship process and outcomes to provide a framework for understanding relationship mechanisms in live streaming commerce.     

高校市场营销专业人才能力结构与培养途径

市场竞争的加剧,使企业对市场营销人才的需求不断加大,如何培养社会需要的市场营销人才成为各个高校需要思考的问题。以构建科学的能力结构为基础,充分培养营销专业人才的实战创新能力,是一条营销人才培养的重要途径。     

Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context

Product pricing has been one of the central issues in the field of marketing and consumer services for managers and researchers alike. However, pricing of information goods has not been paid much attention in literature. For information goods the marginal costs of production and transportation of information goods (online movies, video games, etc.) is almost zero. Hence, the pricing decisions need to be thought of purely in competitive profit maximizing terms. This paper proposes mechanisms for managers to evaluate and base their pricing decisions on rational frameworks that takes into account various situations when they enter a new market and when they are incumbent in a new market. This paper addresses the research gap of spatially differentiated pricing strategy for information goods that has not been studied in literature so far. We create stylized theoretical models under both, sequential and simultaneous decision-making conditions. We determine the equilibrium price and the equilibrium profit for the two firms for each of the four possible scenarios based on their pricing strategies. Our analysis reveals that the dominance of one pricing strategy over the other depends on product differentiation factor capturing joint effect of the product substitutability and consumer's price sensitivity under sequential decision making and the market size along with consumer's price sensitivity for simultaneous decision making. As an extension, we propose a generalized model demonstrating the uniform and spatially differentiated pricing strategies of the firms under simultaneous and sequential selection for multiple domestic and international markets.     

Luxury fashion brand customers’ perceptions of mobile marketing: Evidence of multiple communications and marketing channels

Previous studies have addressed some of the issues of customers' perceptions of mobile marketing, particularly the affordances of multiple communications and channels. Despite a proliferation of studies in this field, the theoretical exploration of luxury fashion customers' perceptions of multiple mobile communications and marketing channels remains at an exploratory stage. Drawing on the elaboration likelihood model and a social constructivist perspective, the current study conducted 37 in-depth interviews with Generation Z mobile luxury customers. We specifically examined how customers' emotionally and cognitively based perceptions emerge as they navigate multiple mobile marketing channels and message communications. Our model conceptualizes four elements of customers' perceptions of their mobile marketing journey that can drive mobile customer engagement and acquisition behavior. The integrative model opens up interesting avenues for further research on mobile marketing and luxury fashion consumers’ perceptions of the effects of multiple communications and marketing channels.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.