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1.
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
2.
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
3.
Recently, online recommendations have become a main channel for enterprise promotion; however, little evidence has been directed toward understanding the fitness of products information in the online recommendations context. The current study examines the fitness of recommended products information and budget of customers selves’ situation tries to find the key factors that buy exceed the recommended products in the online channels. Drawing upon the customer satisfaction index (CSI) and the price information seeking behavior (PISB) model, this paper proposes a research model and validates it in the context of recommendations from the well-known e-commerce websites from 342 participants. With Amos 18.0 this study finds that, in the online environment, the constructs of CSI are evaluated in online recommendations, in addition, finds the fitness of products information can be vital factor impact perceived quality, value, satisfaction, and buy extra. Moreover, the budget constraints of customers positively impact price comparison, and price comparisons negatively impact satisfactions. This research sheds light on the buy extra behavior in online recommendations and provides insights into the marketing promotion strategies in electronic markets. 相似文献
4.
Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor
Analyzing and extracting insights from user-generated data has become a topic of interest among businesses and research groups because such data contains valuable information, e.g., consumers’ opinions, ratings, and recommendations of products and services. However, the true value of social media data is rarely discovered due to overloaded information. Existing literature in analyzing online hotel reviews mainly focuses on a single data resource, lexicon, and analysis method and rarely provides marketing insights and decision-making information to improve business’ service and quality of products. We propose an integrated framework which includes a data crawler, data preprocessing, sentiment-sensitive tree construction, convolution tree kernel classification, aspect extraction and category detection, and visual analytics to gain insights into hotel ratings and reviews. The empirical findings show that our proposed approach outperforms baseline algorithms as well as well-known sentiment classification methods, and achieves high precision (0.95) and recall (0.96). The visual analytics results reveal that Business travelers tend to give lower ratings, while Couples tend to give higher ratings. In general, users tend to rate lowest in July and highest in December. The Business travelers more frequently use negative keywords, such as “rude,” “terrible,” “horrible,” “broken,” and “dirty,” to express their dissatisfied emotions toward their hotel stays in July. 相似文献
5.
Requesting personal information in frontline service encounters raises privacy concerns among customers. The proximity contact tracing that occurred during the COVID-19 pandemic provides an intriguing context of information requests. Hospitality venues required contact tracing details from customers, and customer cooperation varied with concerns about privacy. Drawing on gossip theory, we investigate the roles of businesses’ data privacy practices and government support in driving customers’ responses to contact tracing. Our findings show that perceived transparency of a business’s privacy practices has a positive effect on customers’ commitment to the business, while perceived control exerts a negative effect on commitment. These effects are mediated by customers’ information falsification rather than disclosure, because the former is a sensitive behavioral indicator of privacy concerns. The results also reveal the moderating roles of government support. This research contributes to the customer data privacy literature by demonstrating the distinct effects of perceived transparency and control on commitment and revealing the underlying mechanism. Moreover, the research extends the conceptual understanding of privacy practices from online contexts to face-to-face contexts of frontline service. The findings offer implications for the management of customer data privacy. 相似文献
6.
[目的/意义]实现海量产品评论数据的快速分析,帮助产品设计人员高效地获取用户需求,在新产品设计的决策中提供参考。[方法/过程]在特征提取和情感分析的基础上,构造了包括"词+词性+词干+位置+依存关系"等节点特征的条件随机场模型,按照"产品特征、谁、在何种情境下、遇到了什么问题"4个要素,以描述手机屏幕和电池的负面评论为例,从产品评论中提取用例。[结果/结论]模型评估和实证研究表明,所构造的模型可以有效地从评论文本中识别产品特征、使用主体、使用情景和遇到的问题,从而快速构造用例,获取用户需求。 相似文献
7.
Achieving the anticipated business benefits of a social medium is important as organizations diligently invest in different social media platforms. While much previous research assumes that social media helps organizations to communicate with customers, less is known about whether customers embrace using social media to interact with organizations. It is important to understand the role of social media for business communication from the customers’ perspective, as this may significantly deviate from the organizations’ own communicative intentions. In this exploratory case study of the Moon Struck hotel in China, we investigate both how customers interpret the hotel’s use of WeChat official account for business communication and how customers respond to messages received from Moon Struck’s WeChat account. Adopting a symbolic interactionism perspective, we surprisingly find that WeChat personal accounts and Moon Struck’s official account offer radically different meanings to followers. Specifically, WeChat personal account symbolizes a sociality-oriented meaning (e.g., relationship and image building), while Moon Struck’s WeChat official account symbolizes information broadcasting-related meaning (e.g., selling, advertising, and branding). Both technological features and the distance of relationships among users contribute to the constructed symbolic meaning of technology, subsequently affecting users’ WeChat use patterns. The theoretical implications of this study are discussed and recommendations are made for future research and practice. 相似文献
8.
Information Privacy in the Marketspace: Implications for the Commercial Uses of Anonymity on the Web 总被引：2，自引：0，他引：2
While there is no question that the commercial development of the World Wide Web is still in its infancy and growing rapidly, this development faces a serious barrier to ultimate commercialization. In this article we develop the argument that the primary barrier to the successful commercial development of the Web is the current lack of consumer trust in this new commercial medium. This lack of trust is engendered primarily by the industry's documented failure to respond satisfactorily to mounting consumer concerns over information privacy in electronic, networked environments. We examine how such concerns are affecting the growth and development of consumer-oriented commercial activity on the World Wide Web and investigate the implications of these concerns for potential industry response. In the short run, the commercial development of the Web depends on giving consumers the opportunity to be anonymous when engaging in information exchanges and online transactions. Ultimately, however, commercial Web providers must come to realize that the Internet dramatically shifts the balance of power between a business and its customers, and therefore, radical new business strategies will be required for long-term success. Because the Web offers unprecedented opportunities for interacting with customers, strategies that take advantage of the medium's unique features are likely to reap important rewards in customer satisfaction, loyalty, and retention. Therefore, in the long run, the most effective way for commercial Web providers to develop profitable exchange relationships with online customers is to gain consumer trust by allowing the balance of power to shift toward more cooperative interactions between firms and their customers. 相似文献
9.
Mobile food ordering apps (MFOAs) have been widely considered in the restaurant sector as innovative channels to reach customers and provide them with high-quality services. However, there are important questions regarding the impact of implementing MFOAs on customer satisfaction and on customers’ intention to reuse such apps. Several studies have examined the outcomes of using MFOAs from the customer’s perspective. The fundamental purpose of this study is to identify and empirically examine the main factors predicting the e-satisfaction with MFOAs and customers’ intention to reuse such apps in Jordan. This research proposes an integrated model based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and the features of MFOAs: online review, online rating, and online tracking. The data was collected from a convenience sample of Jordanian customers who have used MFOAs. The main results are based on structural equation modelling and support the role of online review, online rating, online tracking, performance expectancy, hedonic motivation, and price value on e-satisfaction and continued intention to reuse. This study provides a theoretical contribution and presents practical implications relevant to academics and practitioners working in areas related to MFOAs. 相似文献
10.
Social commerce refers to an extension of e-commerce sites, integrated with social media and Web 2.0 technology to encourage online purchases and interactions with customers before, during, and after the purchase. As the country with the largest e-commerce market in Southeast Asia and many active social media users, Indonesia has many opportunities to implement successful social commerce. Since customers are the primary focus in social commerce, repurchase and word-of-mouth (WOM) intentions have been considered as significant behavioural intentions after a customer completes a purchase. Thus, this study aims to identify factors that affect customers’ repurchase and WOM intentions. A total of 421 sets of survey data were gathered from social commerce customers in Indonesia and analysed using the partial least squares approach. The results indicate that repurchase and WOM intentions are positively affected by trust and satisfaction, where both trust and satisfaction are positively affected by reputation and information quality. The results provide theoretical and practical implications for future social commerce research and practical implications for social commerce firms. 相似文献
11.
Web 2.0 changed everyday life in many aspects, including the whole system that orbits around the purchase of products and services. This revolution necessarily involved also companies, because customers became increasingly demanding. The diffusion of social media platforms pushed customers to prefer this channel for quickly obtaining information and feedback about what they want to buy, as well as for asking help after the selling. In this framework, many organisations adopted a new way of providing assistance known as social customer care. A direct link to companies allows customers to obtain real-time solutions. In this paper, we introduce a new strategy for automatically managing the information listed in the requests that customers send to the social media accounts of companies. Our proposal relies on the use of network techniques for extracting high-level structures from texts, highlighting the different concepts expressed into the customers’ written requests. The texts can be then organised on the basis of this new emerging information. An application to the requests sent to the AppleSupport service on Twitter shows the effectiveness of the strategy. 相似文献
12.
Customers commonly share opinions and experiences about products via the internet by means of social media and networking sites. The generated textual data is often analysed by means of Sentiment Analysis (SA) as means to assess customer opinions on product features more efficiently than through surveys. To enable a more objective product target setting, the impact of product feature performance changes on customer satisfaction is essential. Kano et al. (1984) presented a survey-based model to classify product features based on their impact on customer satisfaction to aid designers in their product target setting. Approaches extending the Kano model rely on customer surveys as input data. In addition, existing studies classifying extracted product features from textual data (e.g. product reviews) rarely provide a clear separation in terms of Kano categories. Thus, the impact of identified product features on customer satisfaction remains unknown to product designers. This paper presents a methodology for autonomously classifying extracted aspects from textual data into Kano categories. For verification purposes, two examples using coffee machine and smartphone user reviews are presented. Results indicate that the proposed methodology efficiently provides product designers with insightful customer information through the proposed aspect categorization. 相似文献
13.
Thomas N. Gardner 《The Information Society》2013,29(2):129-130
While there is no question that the commercial development of the World Wide Web is still in its infancy and growing rapidly, this development faces a serious barrier to ultimate commercialization. In this article we develop the argument that the primary barrier to the successful commercial development of the Web is the current lack of consumer trust in this new commercial medium. This lack of trust is engendered primarily by the industry's documented failure to respond satisfactorily to mounting consumer concerns over information privacy in electronic, networked environments. We examine how such concerns are affecting the growth and development of consumer-oriented commercial activity on the World Wide Web and investigate the implications of these concerns for potential industry response. In the short run, the commercial development of the Web depends on giving consumers the opportunity to be anonymous when engaging in information exchanges and online transactions. Ultimately, however, commercial Web providers must come to realize that the Internet dramatically shifts the balance of power between a business and its customers, and therefore, radical new business strategies will be required for long-term success. Because the Web offers unprecedented opportunities for interacting with customers, strategies that take advantage of the medium's unique features are likely to reap important rewards in customer satisfaction, loyalty, and retention. Therefore, in the long run, the most effective way for commercial Web providers to develop profitable exchange relationships with online customers is to gain consumer trust by allowing the balance of power to shift toward more cooperative interactions between firms and their customers. 相似文献
14.
Undoubtedly, the change in consumers’ choices and expectations, stemming from the emerging technology and also significant availability of different products and services, created a highly competitive landscape in various customer service sectors, including the financial industry. Accordingly, the Canadian banking industry has also become highly competitive due to the threats and disruptions caused by not only direct competitors, but also new entrants to the market.The primary objective of this paper is to construct a predictive churn model by utilizing big data, including the structured archival data, integrated with unstructured data from sources such as online web pages, the number of website visits and phone conversation logs, for the first time in the financial industry. It also examines the effect of different aspects of customers’ behavior on churning decisions. The Datameer big data analytics tool on the Hadoop platform and predictive techniques using the SAS business intelligence system were applied to study the client retirement journey path and to create a churn prediction model. By deploying the above systems, we were able to uncover a wealth of data and information associated with over 3 million customers’ records within the retiree segment of the target bank, from 2011 to 2015. 相似文献
15.
This study adopts both a resource-based perspective that combines technology, human, and business resources to develop an infrastructure capability, and a strategic-positioning perspective that emphasizes customer orientation to examine customer information quality in customer relationship management (CRM) systems. Specifically, this study examines how firms bundle infrastructure capability and customer orientation to enhance the quality of customer information that enhances customer relationships and firm performance. The results of data gathered from 116 financial service firms in Taiwan suggest that the impact of quality on firm performance begins with infrastructure capability and customer orientation, and that the complementarity between these factors positively influences customer information quality. The results indicate that customer information quality positively affects customer relationship performance, which consequently leads to improvements in overall firm performance. 相似文献
16.
O2O在线外卖顾客满意度评价体系区别于传统的餐饮顾客满意度评价,为提高O2O模式下在线外卖的顾客满意度,本文通过对顾客满意评价体系以及餐饮行业顾客满意因素研究,提出了O2O模式在线外卖用户满意度的模糊评价模型。模型给出在线外卖顾客满意的4个影响因素,即食品因素、价格因素、服务因素以及便利因素,其中食品因素对顾客满意的影响程度最大。利用模型对在线外卖的代表性平台"饿了么"进行顾客满意度的实证分析,验证了模糊评价体系可行性,并根据评价结果提出了提高O2O在线外卖顾客满意度的措施建议。 相似文献
17.
For new product development, previous segmentation methods based on demographic, psychographic, and purchase behavior information cannot identify a group of customers with unsatisfied needs. Moreover, segmentation is limited to sales promotions in marketing. Although needs-based segmentation considering customer sentiments on product features can be conducted to develop a new product concept, it cannot identify commonalities among customers owing to their diverse preferences. Therefore, this paper proposes an interpretable machine learning-based approach for customer segmentation for new product development based on the importance of product features from online product reviews. The technical challenges of determining the importance of product features in each review are identifying and interpreting the nonlinear relations between satisfaction with product features and overall customer satisfaction. In this study, interpretable machine learning is used to identify these nonlinear relations with high performance and transparency. A case study on a wearable device is conducted to validate the proposed approach. Customer segmentation using the proposed approach based on importance is compared with that employing a previous approach based on sentiments. The results show that the proposed approach presents a higher clustering performance than the previous approach and offers opportunities to identify new product concepts. 相似文献
18.
《International Journal of Information Management》2016,36(5):686-699
Social commerce sites (SCSs), a new model of social media, provide fertile ground for customers to communicate their opinions and exchange product- or service- related information. Given the significant opportunities related to the use of social media data for customers’ insight, we explore the factors driving information sharing behavior on SCSs. In this paper, we propose and empirically test a comprehensive theoretical model for customer information sharing behavior through analysis of online survey data as well as network and behavioral usage data of over four months from 1177 customers in a SCS. The research model was empirically validated with the use of both subjective and objective data in a longitudinal setting. Our results show that customer information sharing is influenced by both individual (i.e., reputation and the enjoyment of helping others) and social capital (i.e., out-degrees’ post, in-degrees’ feedback, customer expertise and reciprocity) factors. This study contributes to the existing literature by highlighting the role of directed social network in customer information sharing behavior on SCSs. We believe that the results of our study offer important insights to the IS research and practice. 相似文献
19.
【目的/意义】网络用户在线评论是用户对某产品或服务机构体验感知的反馈,对网络用户在线评论的文
本挖掘是情报分析的重要内容。【方法/过程】为了更有效从海量网络用户在线评论文本中挖掘用户感兴趣的信息,
本研究爬取TripAdvisor网站四大城市的酒店用户在线评论,基于主题图谱理论和文本聚类算法构建网络用户在线
评论的聚类模型,通过图谱可视化揭示不同地区酒店用户观点差异,并分析不同图谱的社会网络特征。【结果/结
论】研究发现酒店用户最关注的是服务,其次是酒店的环境和位置。本研究能够快速挖掘酒店用户关注内容,对帮
助酒店管理者了解用户住宿需求并以此提高用户满意度具有重要价值。【创新/局限】本文结合主题图谱和文本挖
掘技术构建酒店用户在线评论主题图谱,在大数据文本主题聚类上显示出优越性。但本文仅分析TripAdvisor网站
四个城市中部分酒店的用户在线评论,数据面覆盖不够广泛。 相似文献
20.
Zhaohua Deng Yaobin Lu Kwok Kee Wei Jinlong Zhang 《International Journal of Information Management》2010
With the rapid development of mobile technology and large usage rates of mobile phones, mobile instant message (MIM) services have been widely adopted in China. Although previous studies on the adoption of mobile services are quite extensive, few focus on customer satisfaction and loyalty to MIM in China. In this study, we examine the determinants of customer satisfaction and loyalty. The findings confirm that trust, perceived service quality, perceived customer value, including functional value and emotional value, contribute to generating customer satisfaction with MIM. The results also show that trust, customer satisfaction and switching cost directly enhance customer loyalty. Additionally, this study finds that age, gender, and usage time have moderating effects. Finally, implications for the marketing of MIM are discussed. 相似文献