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1.
当前,对品牌忠诚进行衡量的品牌资产模型仍局限于传统的基于顾客视角、产品市场产出和金融市场产出三种基本的评估模式,上述三种模式均存在着固有的局限。因此,本文以社会认知理论为基础,构建了基于品牌关系驱动力的品牌资产评价模式,并以概念模型全面的演绎了品牌资产的形成结构。本文采用实验研究与实证研究相结合的方法对理论模型进行检验,研究发现:品牌原型(组合)正向影响品牌资产(组合)与品牌关系情感(组合);品牌关系驱动力既正向调节品牌原型和品牌资产之间的关系,也正向调节品牌原型和品牌关系情感之间的关系。理论模型增强了对不确定情境下的品牌资产做出全面评价的能力,提高了品牌资产评价的科学性和可操作性。 相似文献
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受中国传统文化的影响和关系营销在世界范围内的兴起,品牌关系营销作为中国商业市场的基础变量的地位在全社会形成共识。因此,通过品牌关系驱动顾客忠诚和品牌资产成为客户关系管理和品牌资产管理的基本逻辑与理性认知。然而,随着新一轮科技革命与产业变革的孕育兴起,品牌关系驱动能否成功应对技术创新驱动对品牌关系情感与顾客购买意愿的冲击?品牌资产的基本理论模型是否还能有效地指导新兴市场的商业实践,抑或需要重构?这些问题值得深入探究。本文以手机品牌消费者为样本,研究发现:表性特征层面,消费者逻辑仍遵循"品牌原型—品牌关系情感—购买意愿"的发展路径。本质特征层面,消费者逻辑受到外力的驱动发生改变,且与品牌关系驱动相比,技术创新驱动所发挥的调节作用更大。研究结论在一定程度上颠覆了传统的关系营销理论模型,对企业在新经济环境下的营销战略具有重要启示和指导意义。 相似文献
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《Information processing & management》2016,52(6):1142-1160
Increasing use of the Internet gives consumers an evolving medium for the purchase of products and services and this use means that the determinants for online consumers’ purchasing behaviors are more important. Recommendation systems are decision aids that analyze a customer's prior online purchasing behavior and current product information to find matches for the customer's preferences. Some studies have also shown that sellers can use specifically designed techniques to alter consumer behavior. This study proposes a rough set based association rule approach for customer preference analysis that is developed from analytic hierarchy process (AHP) ordinal data scale processing. The proposed analysis approach generates rough set attribute functions, association rules and their modification mechanism. It also determines patterns and rules for e-commerce platforms and product category recommendations and it determines possible behavioral changes for online consumers. 相似文献
4.
近年来,消费者“支持国货”热情日益高涨,跨界创新成为老字号企业重新焕发品牌活力的重要策略。本文基于认知一致性理论,通过三个心理学实验探究了跨界创新方式匹配企业类型影响消费者品牌态度的内在机制。实验结果表明：老字号企业实施跨界创新能够获得积极的消费者品牌态度,且单一品牌型企业进行渐进式创新、多元品牌型企业进行突破式创新更能激发消费者感知企业创新性,进而使消费者品牌态度更为积极。在这一过程中,消费者品牌熟悉度发挥正向调节作用。本文研究结论厘清和完善了跨界创新影响消费者品牌态度的关键路径,也为老字号企业实现营销升级、获得新一代消费者青睐提供了管理启示。 相似文献
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为了更好地适应全球化竞争的商业环境,中国的制造业企业必须注重开展服务营销,有效运用新媒体技术,搜集信息了解顾客需求,生产满足顾客需求的创新产品,并开展定制化营销;通过提高顾客满意度和更迅速的处理顾客抱怨,获取忠诚顾客;通过强大的数据系统实现体验式营销;塑造品牌形象. 相似文献
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Jae Ik Shin Ki Han Chung Jae Sin Oh Chang Won Lee 《International Journal of Information Management》2013
We performed a study to determine the influence that site quality has on repurchase intention of Internet shopping through customer satisfaction, customer trust, and customer commitment. Appropriate measures were developed and tested on 230 university students of Gyeongnam province in South Korea with a cross-sectional questionnaire survey. The results of the empirical analysis confirmed that site quality can be conceptualized as a composite of six dimensions of shopping convenience, site design, information usefulness, transaction security, payment system, and customer communication. Second, site quality positively affected customer satisfaction and customer trust, but did not affect customer commitment and repurchase intention. Third, site quality can affect repurchase intention by enhancing or attenuating customer satisfaction, customer trust, and customer commitment in online transaction situation. The mediating effect of customer satisfaction, customer trust, and customer commitment between site quality and repurchase intention is identified. Fourth, site quality indirectly affected customer commitment through customer satisfaction. Customer satisfaction indirectly affected repurchase intention through customer trust and customer commitment. Thus, it is found that site quality can be a very important factor to enhance repurchase intention in the customer perspective. 相似文献
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移动互联网在社会中的普遍应用,对人们的消费行为产生了显著影响。为此,企业营销创新活动也要加以改变和适应,以扩大在移动社会下的企业收益。消费人群中的大学生群体的购买行为,在移动互联网社会下更具有冲动性购买的行为特征,这就要求企业营销创新中了解影响大学生移动购物冲动性购买行为的各种因素,才能更好制定营销对策。文章以理论研究和实证研究结合,采用了因子分析和方差分析等研究方法,以西安大学生消费群体为样本,对大学生移动购物冲动性购买行为的影响因素进行了具体研究。研究结果发现,平台功能、促销折让、顾客评价、消费者决策、网站互动和手机依赖等因素均发挥着显著影响作用;进而考察大学生自身特性因素发现,大学生性别、月生活费金额、浏览移动购物网站频率等因素对冲动性购买行为具有显著影响,而年龄、学历、手机上网时间和商品类别等则没有显著影响。据此,提出了移动互联网社会下做好大学生消费行为的相关营销对策。 相似文献
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There are studies showing that utilitarian (perceived ease of use and perceived usefulness) and hedonic (entertainment and aesthetics) attributes of products are two fundamental resources that ensure brand equity in the mobile domain. However, few studies examine the attributes of products and how and why such resources influence mobile brand equity. In this study, a survey was carried out on 262 mobile users in Taiwan to examine the mediating effects of customer experience on the relationship between product attributes on mobile brand equity. Our findings suggest that utilitarian and hedonic attributes of products affect mobile brand equity through customer experience. In other words, perceived ease of use, perceived usefulness, entertainment, and aesthetics may not be intrinsic value; their value on mobile brand equity is realized through customer experience. However, whereas the effect of perceived ease of use on mobile brand equity is partially mediated, perceived usefulness, entertainment, and aesthetics are fully mediated by customer experience. By showing the differential effects of product attributes on mobile brand equity, this study provides a more refined understanding of the interplay among product attributes, customer experience, and mobile brand equity. The results suggest that by overlooking the mediating role of customer experience, previous research may have provided an overly optimistic view of the value of product attributes in mobile brand equity. 相似文献
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With the development of electronic commerce, many dotcom firms are selling products to consumers across different countries and regions. The managers of online group-buying firms seek to increase customer purchasing intentions in the face of competition. Online group-buying refers to a certain number of consumers who join together as a group via Internet, for the purpose of buying a certain product with a discount. This study explores antecedents of intention to participate in online group-buying and the relationship between intention and behavior. The research model is basaed on planned behavior theory, electronic word-of-mouth, network embeddedness, and website quality attitude. An online survey is administered to 373 registered members of the ihergo website. Data is analyzed using the partial least squares method, and analytical results demonstrate that for potential consumers, experiential electronic word-of-mouth, relational embeddedness of the initiator, and service quality attitude influence intention to engage in online group-buying; for current consumers, intention to attend online group-buying is determined by the structural and relational embeddedness of the initiator, system quality attitude positively affects intention, and intention positively affects online group-buying behavior. This study proposes a new classification of electronic word-of-mouth and applies the perspective of network embeddedness to explore antecedents of intention in online group-buying, broadening the applicability of electronic word-of-mouth and embeddedness theory. Finally, this study presents practical suggestions for managers of online group-buying firms in improving marketing efficiency. 相似文献
10.
品牌忠诚可以给企业带来很多的营销优势,比如降低营销成本、获得更多新的顾客、积极的口碑传播以及顾客对竞争对手营销策略的更强烈的抵制等。通过分析顾客体验,从顾客体验的角度来研究品牌忠诚的提升策略。 相似文献
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《Information processing & management》2022,59(1):102762
Business is based on manufacturing, purchasing, selling a product, and earning or making profits. Social media analytics collect and analyze data from various social networks such as Facebook, Instagram, and Twitter. Social media data analysis can help companies identify consumer desires and preferences, improve customer service and market analytics on social networks, and smarter product development and marketing investments. The business decision-making process is a step-by-step process that enables employees to resolve challenges by weighing evidence, evaluating possible solutions, and selecting a route. In this paper, Big Data-assisted Social Media Analytics for Business (BD-SMAB) Model increases awareness and affects decision-makers in marketing strategies. Companies can use big data analytics in many ways to enhance management. It can evaluate its competitors in real-time and change prices, make deals better than its competitors' sales, analyze competitors' unfavorable feedback and see if they can outperform that competitor. The proposed method examines social media analysis impacts on different areas such as real estate, organizations, and beauty trade fairs. This diversity of these companies shows the effects of social media and how positive decisions can be developed. Take better marketing decisions and develop a strategic approach. As a result, the BD-SMAB method enhance customer satisfaction and experience and develop brand awareness. 相似文献
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Her-Sen DoongAuthor Vitae Hui-Chih WangAuthor Vitae 《International Journal of Information Management》2011,31(3):210-216
Consumers’ shopping intention is central to a Webstore's success. While past information system (IS) studies have examined this phenomenon extensively, they have focused on examining the single channel of e-tailing only. Knowledge of consumers’ cross-channel shopping behavior, which is common nowadays, was scarce. This study has empirically investigated a research model proposing how consumers’ brand loyalty in the retailing channel may impact on their shopping intentions at the same brand's Webstore. Specifically, in contrast to the system approach examined by past IS studies, this study has undertaken a brand perception approach and uncovered that by shaping consumers’ online perceptions of brand familiarity and Webstore reputation, consumers’ offline brand loyalty directly and indirectly enhances their trust in Webstore and lead to a higher shopping intention. Practical suggestions for click-and-mortar companies in building their channel strategies were proposed accordingly. 相似文献
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Complaint behaviors are critical to maintaining customer loyalty in an online market. They provide insight into the customer's experience of service failure and help to redress the failures. Previous studies have shown the importance of customer satisfaction as a mediator for complaint intentions. It is important to examine the antecedents of customer satisfaction and its link to complaint intentions. Online shoppers are both buyers of products/services and users of web-based systems. Trust also plays a critical role in forming a psychological state with positive or negative feelings toward e-vendors. In this context, there are three major concerns: justice, technology and trust. This study proposes a research model to combine these issues, in order to investigate complaint intentions. Data were collected from an online survey wherein subjects were encouraged to reflect on recent service failure experiences. The results from testing a structural equation model indicate that distributive and interactional justice contribute significantly to customer satisfaction and, in turn, to complaint intentions, but procedural justice does not. Technology-based features and trust are also important in determining the two target variables. The implications for managers and scholars are also discussed. 相似文献
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《The Journal of High Technology Management Research》2014,25(2):163-171
PurposeThe purpose of this paper is to investigate how customers' social network affects customer referral behavior.MethodologyA survey of 180 qualified questionnaires from ordinary consumers in China was conducted. Structural equation model was performed on the collection of data.FindingsThe results show that condensed subgroups and the relationship strength between customers and between customers and companies have a greater influence on customer referrals than network density and centrality. In contrast, network scale and structural holes do not influence customer referrals.Originality/valueContributing to customer referral theory, this paper examines the influencing factors of customer referral behavior based on social network, providing theoretical suggestions for enterprises better using customer referral to acquire customers. 相似文献
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本研究整合服务主导逻辑与资源互动观的理论框架,探讨知识密集型企业服务情境下服务主导逻辑导向、资源互动能力、价值共同创造活动、顾客价值认知间的关系。228对企业的问卷调查结果显示:服务主导逻辑导向将提升服务企业与顾客企业进行资源互动的能力,进而改善二者共同制定计划、共同执行计划、共同解决问题等价值共创活动,最终提升顾客价值认知。研究从实证层面推动了尚处于理论建构和定性研究阶段的服务主导逻辑范式和资源互动观的纵深发展,也为产业服务企业如何通过组织间资源整合利用和价值共创活动来传递卓越的顾客价值提供了管理启示意义。 相似文献
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《Information processing & management》2020,57(6):102323
With the fast growth of e-commerce and the emerging new retail trend—online and offline integration—it is important to recognize the target market and satisfy customers with different needs by analyzing their online search behaviors. Accordingly, we propose sequential search pattern analysis and clustering to analyze consumers’ search behavior throughout the entire shopping process from the perspective of consumer need-states. We seek to understand how recommendation functions (RFs) or popular non-RF web features help consumers to shop online from a need-state perspective. We adopt maximal repeat patterns (MRPs) and lag sequential analysis (LSA) to analyze the sequence of search paths and identify significant repeated search patterns. Furthermore, to investigate the behaviors of customers with different types of need-states, we analyze webpages related to RFs and non-RF features using clustering to connect the evaluation results of search patterns with page traversal behaviors. This yields four groups of consumers who browse for information, adopt recommendations, consult reviews, and conduct searches with different levels of goal-oriented or exploratory-based need-states. The results show that consumers with strong goal-oriented need-states have the simplest search paths compared to other groups, whereas exploratory-based consumers have the most complicated search paths. Furthermore, consumers with higher need-states tend to search directly, consult reviews carefully, and have stored sequential search patterns, whereas consumers with exploratory-based need-states tend to explore the categories of products and adopt product classification hierarchy as a pivot to explore web features and then adopt specific types of RFs. Interestingly, consumers in the review-consulting group all belong to the goal-oriented need-states type with strong knowledge-building behaviors compared to others. The results reveal that each group employs its own particular web features to facilitate the shopping process and we can identify consumer types based on shopping behavior in the early stage of shopping. This suggests that e-store sellers can refine web features and deploy marketing strategies tailored to the search patterns for different levels of need-states. 相似文献
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针对中国信用卡市场的现存问题,从顾客感知的角度进行分析讨论,结合信用卡营销的特点,提出了包括潜在顾客价值转化、提高顾客感知收益以及降低顾客感知成本3个维度的价值创造新模型,并基于此模型给出了信用卡营销的新策略。 相似文献
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小微企业对于我国经济和民生的发展具有重要意义，但总体存活率较低，又因其特殊的组织结构和管理方式，导致以大中型企业为研究对象的传统营销理论部分失灵。通过对653家中国新创小微企业的问卷调查数据，本研究从企业最关键的利益相关者──顾客的视角出发，采用结构方程模型和多重线性回归的方法实证检验了一个提升小微企业营销绩效的理论模型。研究发现：利用新创企业资产和实施顾客导向是小微企业增加营销绩效的两种有效途径，且新创企业资产比顾客导向对小微企业营销绩效影响更大。顾客认知合法性感知也对小微企业绩效具有显著积极影响，并在新创企业资产、顾客导向与小微企业营销绩效的关系中起中介作用。竞争强度负向调节了新创企业资产与顾客认知合法性感知的关系。 相似文献
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