A Multidimensional Model of Trust in Recommender Systems

Maida, Martina; Maier, Konradin; Obwegeser, Nikolaus; Stix, Volker

doi:10.1007/978-3-642-32273-0_19

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…The trusting reason behind this trust type is knowledge. However, interactive reasons may also produce knowledge-based trust if the trustor utilizes the past interactions to model the internal working principles of the trustee (Maida et al, 2012). In other words, knowledge-based trust is built from repeated social interactions (Theotokis et al, 2012;Peñarroja et al, 2013) or history or experiences of interactivity (Lee et al, 2012), and mirrors satisfaction on interactions between partners (Zolfaghar and Aghaie, 2012).…”

Section: Cq and Trustmentioning

confidence: 99%

From cultural intelligence to supply chain performance

Tuan

2016

The International Journal of Logistics Management

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Purpose – Cultural intelligence (CQ) has transcended its role of adaptation to local values toward narrowing the cultural gap between foreign stakeholders and local stakeholders in the supply chain. The purpose of this paper is to decipher the catalyzing role of CQ in its chain effect, through corporate social responsibility and trust, to supply chain performance and competitive intelligence (CI). Design/methodology/approach – The proof for the research model was derived from the SEM-based analysis of cross-sectional data provided by 392 respondents from MNCs in Vietnamese business landscape. Findings – Findings, from this inquiry, produce the evidence for the positive effect of all four dimensions of CQ (metacognitive, cognitive, motivational, and behavioral CQ) on ethical and legal CSR, as well as knowledge-based and identity-based trust, which leverage supply chain performance. The connectivity between supply chain performance and CI was also established. Originality/value – Supply chain literature, from this research model, has increased its breadth with the novel role of CQ and stakeholder-oriented levers such as CSR in heightening supply chain performance.

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Section: Cq and Trustmentioning

confidence: 99%

From cultural intelligence to supply chain performance

Tuan

2016

The International Journal of Logistics Management

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“…On the other hand, knowledge-based trust alludes to an individual’s predictability or knowledge of their partner’s co-operative behavior (Mitchell et al , 2012; Hardwick et al , 2013). The reasoning behind this trust type is knowledge; nonetheless, interactive reasons may also engender knowledge-based trust (Maida et al , 2012). Knowledge-based trust emerges from recurring social interactions (Theotokis et al , 2012; Peñarroja et al , 2013) or history or experience of inter-activity (Lee et al , 2012) and mirrors satisfaction of interactions between partners (Zolfaghar and Aghaie, 2012).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

The relationship between cultural intelligence and i-deals

Rowley

2016

IJOA

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Purpose Cultural intelligence is the capacity to decode and harmonize with another culture for cultural synergy effects. This paper aims to examine whether cultural intelligence can activate idiosyncratic deals (i-deals) through trust as a mediator and HR localization as a moderator. Design/methodology/approach Cross-sectional data from respondents from joint ventures or 100 per cent foreign-invested firms in Vietnam business setting, which were tested through the structural equation modeling, provide the evidence for the research model. Findings Research results confirmed the positive effect of cultural intelligence on identity-based trust and knowledge-based trust, which in turn influence i-deals. HR localization was also found to play a moderating role on the relationship between identity-based trust or knowledge-based trust and i-deals. Originality/value Cultural intelligence literature, from this study, is further deepened through its role as a trigger for the path from cultural intelligence to i-deals.

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“…However, it only takes into account the heterogeneous of ratings of users and still has the vulnerability when there are shilling attacks in recommender systems. Based on the theoretical analysis of knowledge-based trustworthiness and deduction trustworthiness, a multidimensional trustworthiness model is proposed by Maida et al (2012), but it does not give the specific calculation method. Mobasher et al (2006) propose two recommendation algorithms.One is based on k-means clustering and the other is based on probabilistic latent semantic analysis (PLSA).…”

Section: Introductionmentioning

confidence: 99%

Robust recommendation method based on suspicious users measurement and multidimensional trust

Zhang

2015

J Intell Inf Syst

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The existing collaborative recommendation algorithms have poor robustness against shilling attacks. To address this problem, in this paper we propose a robust recommendation method based on suspicious users measurement and multidimensional trust. Firstly, we establish the relevance vector machine classifier according to the user profile features to identify and measure the suspicious users in the user rating database. Secondly, we mine the implicit trust relation among users based on the user-item rating data, and construct a reliable multidimensional trust model by integrating the user suspicion information. Finally, we combine the reliable multidimensional trust model, the neighbor model and matrix factorization model to devise a robust recommendation algorithm. The experimental results on the MovieLens dataset show that the proposed method outperforms the existing methods in terms of both recommendation accuracy and robustness.

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A Multidimensional Model of Trust in Recommender Systems

Cited by 9 publications

References 21 publications

From cultural intelligence to supply chain performance

From cultural intelligence to supply chain performance

The relationship between cultural intelligence and i-deals

Robust recommendation method based on suspicious users measurement and multidimensional trust

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