A Study on the Effects of e-Store Attributions on Web Site Loyalty (e-점포 속성이 신뢰, 만족 및 충성도에 미치는 영향에 관한연구)
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- Journal of Global Scholars of Marketing Science
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- v.15 no.1
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- pp.21-39
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- 2005
The research objectives of this study were to examine the relationship between e-store attributions(reputation, customer service, safety(security), merchandise quality, information quality, web navigation), trust, satisfaction and web site loyalty. The data were collected using survey with a structured questionnaire. The subjects of the study were 213 people. Several hypotheses were put forward and results except for four hypotheses were supported. That is, reputation, customer service, safety(security) and merchandise quality have a significant influence on trust and satisfaction, information quality and web navigation have no influence on trust and satisfaction, and trust and satisfaction have a significant influence on e-loyalty. Regression Analysis were applied to test the research hypotheses on the relationships among the variables. Research implications of the findings and future research directions are presented.
In searching and locating a collection of components on the Web, users require a Web browser. Since the Web libraries tend to grow rapidly, there needs to be an effective way to organize and manage such large libraries. Traditional Web-based library(retrieval) systems provide various classification scheme and retrieval services to store and retrieve components. However, these systems do not include invaluable services, for example, enabling users to grasp the overall contents of the library at the beginning of retrieval. This paper discusses a Web-based library system, which provides the efficient management of object-oriented components and a set of services beyond simple component store and retrieval. These services consist of component comprehension through a reverse engineering process, automated summary extraction, and comprehension-based retrieval. Also, The performance of an automated cluster-based classification scheme adopted on the system is evaluated and compared with the cluster-based classification scheme adopted on the system is evaluated and compared with the performance of two other systems using traditional classification scheme.
Purpose - The purpose of this research is to identify how idiocentric consumers and allocentric consumers respond to retail store environments and how such responses affect their consumer behaviors in a sustainable consumption setting. Method - Data were collected from 422 U.S. adult consumers via a web-based survey. Two store settings were created, perceptually related (eco-friendly clothing displayed with greenery)or perceptually-unrelated (eco-friendly clothing displayed without greenery), and consumers were asked to take the survey based on the given store setting. Results - Allocentric consumers perceived a product and its display environment were related whereas idiocentric consumers perceived the two were unrelated. Also, the former exhibited higher purchase intentions when the product and store environment were related (eco-friendly clothing displayed with greenery), but the latter did when the two were unrelated (eco-friendly clothing displayed without greenery). Conclusions - This research suggests that retailers should consider consumer self-concept at personal-level when implementing marketing strategies. This research also demonstrates that consumers are influenced by store environment in relation to their self-concept and that self-concept can be temporarily modified by various stimuli such as visual displays.
Nowadays, it is common that most consumers are purchasing goods in e-stores. The e-stores eager to attract, revisit, retain, and finally convert them into loyal customers. The e-store marketers have planned and executed numerous marketing efforts. As one of the marketing activities, e-store managers attempt to build web sites that meet customers' functional and psychological needs. A wide array of studies has been done to identify factors that could affect customers' response of web sites. Majority of studies were conducted to verify technology-related and functional variables of the website which facilitate transactions and enhance customer responses such as purchase intention and website loyalty. However, there has been little research on the external cues of website and psychological variables of consumer that could have positive influences on customer response. The purpose of this study is to investigate the influence of e-store personality on e-store loyalty through mediating variables such as e-store identification, e-store trust, and e-store engagement. The authors of this study develop the model and set up the six main hypotheses and a set of sub-hypotheses based on a literature review, shown in
In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.
Cloud computing is a technology for delivering information in which resources are retrieved from the internet through a web-based tools and applications, rather than a direct connection with the server. It is a new emerging computing based technology in which any individual or organization can remotely store or access the information. The structure of cloud computing allows to store and access various information as long as an electronic device has access to the web. Even though various merits are provided by the cloud from the cloud provides to cloud users, it suffers from various flaws in security. Due to these flaws, data integrity and confidentiality has become a challenging task for both the storage and retrieval process. This paper proposes a novel approach for data protection by an improved auditing based methodology in cloud computing especially in the process of cloud storage. The proposed methodology is proved to be more efficient in auditing the threats while storing data in the cloud computing architecture.
This paper presents distributive web-caching technique on the Head-End-Network (HNET) to solve excessive load of multimedia sever and inefficient use of network resources, The proposed web-caching is not concentration of load for a specific Head-End-Node(HEN), and it has advantage that there is no copy of a specific item on distributive HENs. This technique distributively stores on HENs partial streams of requested videos from clients connected to HENs and the order of store streams follows the order of request of identical video items from HENs. Thus, storing streams on each HEN that requests sevice are different. When a client requests the cached video on some HENs, the HEN that connects him receives streams in the order of store from HENs which stored them and it transmits them to him. These procedures are performed under the control of SA. This technique uses cache replacement algorithm that the combination of LFU, LRU and the last remove for the first stream of videos In order to reduce end-to-end delay.
Recent advances in the internet infrastructure have resulted in a large number of huge Web sites and portals worldwide. These Web sites are being visited by various types of users in many different ways. Among all the web page access sequences from different users, some of them occur so frequently that may need an attention from those who are interested. We call them frequent access patterns and access sequences that can be frequent the candidate patterns. Since these candidate patterns play an important role in the incremental Web mining, it is important to efficiently generate, add, delete, and search for them. This thesis presents a novel tree structure that can efficiently store the candidate patterns and a related set of algorithms for generating the tree structure adding new patterns, deleting unnecessary patterns, and searching for the needed ones. The proposed tree structure has a kind of the 3 dimensional link structure and its nodes are layered.
The purpose of this study id to examine the effect of Web site usability on the revisiting intention of customers in Internet book stores. The Web site usability construct consists of the factors such as contents, design, navigation, and interactivity. In order to accomplish the purpose of this study, a research model was established and it suggests that the usabililty effect the revisiting intention of online customers in Internet book stores. The results of the study show that contents, navigation, and interactivity has statistically significant effect on revisiting intention of Internet customers and this effect is mediated by perceived ease of use and perceived usefulness. This research confirms the importance of usability construct in designing web sites and understanding the use of web sites. Implications of these findings are discussed for researchers and practitioners.
After defining the determining factor of an attitude on clothing web-site as cognitive responses and affective responses, this study was to investigate how it affects against web-site attitude, brand attitude and purchase intention. To accomplish research subject, this study had an analysis on web-site attitude, brand attitude and purchase intention after selecting 3 department stores having mega fashion malls which run web-sites. Aad(Attitude toward an advertisement) was defined as cognitive responses and affective responses. This research analyzed it by multiple regression analysis after collecting a date from 265 customers who use 3 department stores selected The findings are as follows. First, Aad had a significance impact on web-site attitude across the department stores. Second, Aad had a significance impact on brand attitude across the department stores. Third, Aad had a significance impact on purchase intentions across the department stores. At the end of this paper, discussion, managerial implications, limitations, and future research directions were suggested.
. This model is composed of four paths such as dimensions of e-store personality. First of all, hypothesis 1 is partially supported because sub-hypothesis 1-1 and 1-2 are supported, whereas sub-hypothesis 1-3, 1-4, and 1-5 are rejected. Specifically, it reveals that warmth and sophistication dimensions in e-store personality have positive influence on e-store identification, however, activity, progressiveness, and strictness does not have any significant relationship on e-store identification. Secondly, hypothesis 2 was supported. Therefore, it can be said that e-store identification has a positive impact on e-store trust. Thirdly, hypothesis 3 is also supported. Hence, there is a positive relationship between e-store identification and e-store engagement. Fourthly, hypothesis 4 is supported too. e-store identification has a positive influence on e-store loyalty. Fifthly, hypothesis 5 is also accepted. This indicates that e-store trust is a precedent variable which positively affects e-store loyalty. Lastly, it reveals that e-store engagement has a positive impact on e-store loyalty. Therefore, hypothesis 6 is supported. The findings of the study imply that some dimensions of e-store personality have a positive influence on e-store identification, and that e-store identification has direct and indirect influence on e-store loyalty through e-store trust and e-store engagement positively. These results also suggest that the e-store identification in e-store personality is a precedent variable which positively affects e-store loyalty directly and indirectly through e-store trust and engagement as a mediating variable. Therefore, e-store marketers need to implement website strategy based on e-store personality, e-store identification, e-store trust, and e-store engagement to meet customers' psychological needs and enhance e-store loyalty. Finally, the limitations and future study directions based on this study are discussed.
Development of Human Sensibility Based Web Agent for On-line Recommendation Service
(온라인 추천 서비스를 위한 감성 기반 웹 에이전트 개발)
A Novel Methodology for Auditing the Threats in Cloud Computing - A Perspective based on Cloud Storage
VOD Server using Web-Caching in Head-End-Network
(Head-End-Network에서 Web-Caching을 사용한 VOD 서버)
An Efficient Candidate Pattern Storage Tree Structure and Algorithm for Incremental Web Mining
(점진적인 웹 마이닝을 위한 효율적인 후보패턴 저장 트리구조 및 알고리즘)
The Effect of Web Site Usability on the Revisiting Intention of Customers in Internet Book Stores
(웹사이트 사용성 요인이 인터넷서점의 고객 재방문의도에 미치는 영향)
The Impact of Website Advertisement on Department Stores
(백화점 쇼핑몰의 웹사이트 광고에 대한 영향 연구)
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