Empirical research in on-line trust: a review and critical assessment

Grabner‐Kräuter, Sonja; Kaluscha, Ewald A.

doi:10.1016/s1071-5819(03)00043-0

Cited by 640 publications

(442 citation statements)

References 42 publications

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“…Mahmood, Bagchi, and Ford's (2004) study using the cross-country data from 26 nations show that the factors of trust and economic conditions make a significant positive contribution to online shopping behavior. Online transactions and exchange relationships are not only symbolized by uncertainty, but also by anonymity, absence of control and potential opportunism, making risk, and trust in crucial elements of e-commerce (Grabner-Krauter & Kaluscha, 2003). There is also a great growth in the number of online retailers, which can potentially give consumers with a large array of 12 alternatives and new sources of information.…”

Section: Trustmentioning

confidence: 99%

How social shopping retains customers? Capturing the essence of website quality and relationship quality

Hsu

Chen

Kumar

2016

Total Quality Management & Business Excellence

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Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited.UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights.UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. PLEASE SCROLL DOWN FOR TEXT.1 How social shopping retain customers? Capturing the essence of website quality and relationship quality Abstract Social shopping as a result of the advancement of social media applications is increasing considerably in e-commerce. As a consequence of the multi-faceted phenomenon of social shopping, website managers encounter a lot of challenges in providing their quality website experience to satisfy their customers' needs and in developing relationships among participants, and community. In short, providing excellent quality website experience is crucial to support online customers. Therefore, it is necessary to offer further theoretical conceptualizations as well as detailed empirical evidence for such phenomena in which social shopping are supported and enabled. Thus, this paper attempts to investigate the factors affecting purchase intention of social shopping including two constructs: website quality (i.e., system, information, and service quality) and relationship quality (i.e., satisfaction, commitment, and trust).Additionally we aim to identify the mediating roles of commitment and trust. The empirical results show that the perceived system and service quality are important antecedents of customer satisfaction, but not for the effect of perceived information quality on customer satisfaction. Furthermore, it shows that customer satisfaction significantly influences commitment, trust, and purchase intention, and trust in turn significantly affect commitment. Our empirical results confirm that commitment and trust partially mediate the relationship between satisfaction and purchase intention in social shopping context.

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Section: Trustmentioning

confidence: 99%

How social shopping retains customers? Capturing the essence of website quality and relationship quality

Hsu

Chen

Kumar

2016

Total Quality Management & Business Excellence

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“…Grabner-Krauter & Kaluscha (2003) advocate the use of a broad spectrum of research tools). is complete, i.e.…”

Section: Interrelations Entered Number Of Scenarios Interrelations Enmentioning

confidence: 99%

Formalized Qualitative Modeling of Online Trust: Introduction of the Method and a Detailed Example

Veselý¹,

Dohnal²

2016

E+M

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The paper presents a simple qualitative model of online trust in the context of e-commerce. Qualitative models use just three values: Positive/Increasing, Zero/Constant and Negative/ Decreasing. Such quantifi ers of trends are the least information intensive. Qualitative models can be useful, since models of online trust include such variables as e.g. Perceived website quality and ease of use (SIT) or Company’s positive reputation (REP) that are sometimes diffi cult or costly to quantify. Hence, a signifi cant fraction of available information about online trust is not of numerical nature, e.g. if SIT is decreasing then online trust is decreasing as well. Such equationless relations are studied in this paper. The model has 13 variables and 32 pair-wise interrelations among them. The set of variables and interrelations was established based on discussions with experts and internet users. The model is solved and 23 solutions, i.e. scenarios are obtained (thus, we reduce a vast set of all “imaginable” scenarios concerning online trust to a manageable list of scenarios). All qualitative states, and the fi rst and second qualitative derivatives of all variables are specifi ed for each scenario. Many modifi cations, upgrades and extensions of the present model are easy within the methodological framework introduced in the paper. Qualitative modeling can be seen as one of the uncertainty calculi, such as fuzzy sets and rough sets, that can be helpful e.g. under information shortage (for example when new website is about to be launched and/or when novel, subjective or diffi cult to measure variables are considered). The paper is self-contained and no a priori knowledge of qualitative modeling is required on the reader’s part.

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“…Accreditation is a key element in a normative environment [9], and people usually trust something that is accredited [4]. If learners in a VLC feel that everything they access is quality, they will appreciate the functioning of an effective accreditation process and consider that other participants are capable contributors.…”

Section: Conceptual Developmentmentioning

confidence: 99%

Control in Virtual Learning Communities: An Investigation from the Views of Trust and Effectiveness Uncertainty

Shih¹

2013

IJIET

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Abstract-This study investigates how control, through trust and effectiveness uncertainty, affects learners' willingness to depend on a virtual learning community (VLC). Three variables, perceived accreditation, perceived feedback, and perceived cooperative norms, were incorporated to represent different types of control. The research hypotheses were tested on a sample of 264 survey participants using Partial Least Squares (PLS). The results indicate that cooperative norms and feedback engender trust in the VLC, that accreditation and cooperative norms reduce effectiveness uncertainty, and that trust increases learners' willingness to depend on VLC. The relationships between trust and effectiveness uncertainty, between effectiveness uncertainty and willingness to depend, between feedback and effectiveness uncertainty, and between accreditation and trust are unconfirmed.

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Empirical research in on-line trust: a review and critical assessment

Cited by 640 publications

References 42 publications

How social shopping retains customers? Capturing the essence of website quality and relationship quality

How social shopping retains customers? Capturing the essence of website quality and relationship quality

Formalized Qualitative Modeling of Online Trust: Introduction of the Method and a Detailed Example

Control in Virtual Learning Communities: An Investigation from the Views of Trust and Effectiveness Uncertainty

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