A trust model for analysis of trust, influence and their relationship in social network communities

Asim, Yousra; Raza, Basit

doi:10.1016/j.tele.2018.11.008

Cited by 40 publications

(27 citation statements)

References 35 publications

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“…With the development of social media, a series of studies have presented the role of consumers' influence on these networks [60][61][62][63][64][65], proving that the social influence positively affects the people's behavior when adopting a pro-environment attitude [49,66]. Sujata et al [20] analyzed in their study the determinants of recycling intention behavior for the general public.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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Due to the increase of the amount of electrical and electronical equipment waste (e-waste), the understanding of individual consumers’ main decision triggers represents a key point in increasing the quantity of recycled e-waste. A series of studies from the literature have shown a positive relationship between the consumers’ attitude, awareness, self-efficacy, social norms, and their e-waste recycling intention, as well as the positive influence between the intention and the manifested behavior. Additional to these determinants, in the present study, the influence of social media was analyzed along with the actions taken by the government and nongovernmental organizations, with the purpose to include and to capture, as much as possible, a high amount of determinants in the e-waste recycling process. Nevertheless, the demographic or socio-economic variables, such as age, gender, income, education, number of family members, etc., have shown over time to have a contribution to predicting the consumers’ pro-recycling behavior. As on one side, in the research literature, the opinions related to which of the demographic or socio-economic factors can have an impact on the recycling behavior have been divided and, on another side, a series of researchers believe that the discrepancies in the findings of different studies can be due to culture in various countries, in this paper we conducted such an analysis with reference to the Romania’s case. The results have shown that the demographic variables, such as age and gender, can have a contribution to predicting residents’ pro-e-waste recycling behavior. Based on these findings, the policymakers can gain a better understanding of the e-waste recycling phenomenon and on its main triggers, with results in creating better policies for sustaining a proper e-waste managing system.

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Section: Literature Reviewmentioning

confidence: 99%

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

et al. 2020

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“…WhenTrust HT is bigger than or equal to threshold, user i (i ∈ U) in the group is trusted. The setting of the threshold is not only a simple indicator to judge whether a group member is trusted [35] but also an important node to assign trust weight to members.…”

Section: Hybrid Trust Metric Matrixmentioning

confidence: 99%

Group recommendation based on hybrid trust metric

2020

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Group recommendation is a special service type which has the ability to satisfy a group's common interest and find the preferred items for group users. Deep mining of trust relationship between group members can contribute to the improvement of accuracy during group recommendation. Most of the existing trust-based group recommendation methods pay little attention to the diversity of trust sources, resulting in poor recommendation accuracy. To address the problem above, this paper proposes a group recommendation method based on a hybrid trust metric (GR-HTM). Firstly, GR-HTM creates an attribute trust matrix and a social trust matrix based on user attributes and social relationships, respectively. Secondly, GR-HTM accomplishes a hybrid trust matrix based on the integration of these two matrices with the employment of the Tanimoto coefficient. Finally, GR-HTM calculates weights for each item in the hybrid trust matrix based on weighted-meanlist and proceeds to group recommendation with a given trust threshold. Simulation experiments demonstrate that the proposed GR-HTM has better performance for group recommendation in accuracy and effectiveness. ARTICLE HISTORY

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“…An agent-based model has been created in order to determine the adoption of the eco-friendly products based on their type. Additionally, we have considered the presence of different promoting campaigns for the use of the eco-friendly products in Several recent studies have shown the importance of consumers' influence in online social networks [8][9][10][11][12][13]. In this context, the present study develops and validates a questionnaire for better extracting the influence exerted by online social networks' users on the consumers' purchase intention depending on the subjective characteristics of each person in terms of how easy to influence that person is and how much he/she can further influence other peoples' purchase decisions.…”

Section: Of 32mentioning

confidence: 99%

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

et al. 2019

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Social influence has a positive impact on the purchase intention for eco-friendly products along with other subjective and objective aspects related to environmental attitude, product attitude, and subjective and objective knowledge. Also, exposure to media has been proven to have a significant positive affect on environmental attitude, with effect on the purchase intention. Several recent studies have shown the importance of consumers’ influence in online social networks, underlying the role played by the online environments over consumers’ attitude. As a result, the current research tries to analyze the influence exerted on consumers’ decision to purchase eco-friendly products by their activity in online social environments. Using a questionnaire, filled-in by 409 respondents, a series of variables have been extracted with regard to the eco-friendly products. An agent-based model has been created, fed with the values of the variables extracted from the questionnaire, and used for simulations. As a result, it has been observed that an increase in online media exposure can have a high positive impact on the eco-friendly product adoption. Depending on the type of product—soft or durable good—different times for the eco-friendly product adoption have been determined relatively to the considered variables. Last, the possible limitations of using an agent-based modeling approach are discussed, along with possible extensions and improvements.

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A trust model for analysis of trust, influence and their relationship in social network communities

Cited by 40 publications

References 35 publications

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania

Group recommendation based on hybrid trust metric

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

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