Sharing product harm information: The effects of self-construal and self-relevance

Akpınar, Ezgi; Verlegh, Peeter W.J.; Smidts, Ale

doi:10.1016/j.ijresmar.2018.01.001

Cited by 22 publications

(23 citation statements)

References 88 publications

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“…The summary variables we used are algorithms included in the LIWC software program which previous linguistic research has thoroughly validated internally and externally (Aleti et al, 2017; Pennebaker et al 2015 ). They have already been used successfully in a variety of marketing and management studies (Akpinar et al 2018 ; Hwong et al 2017 ; Margolin & Markowitz, 2018 ; Tausczik & Pennebaker, 2010 ). These variables range from 0 to 100.…”

Section: Empirical Analysismentioning

confidence: 99%

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021

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In the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

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Section: Empirical Analysismentioning

confidence: 99%

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021

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“…In the undertaken research, we used the framework of the Theory of Planned Behaviour (TPB) model and the items of the TPB model to explain consumers' intention to use Islamic hire purchase (IHP) financing. The TPB model was efficaciously employed to explicate consumers' intention in several previous studies (Shih & Fang, 2004;Ali et al, 2017;Novak et al, 2017;Varanavicius et al, 2017;Dusuki & Abdullah, 2007;Akpinar et al, 2018). The main theoretical aspect of the TPB model links to fundamental postulations.…”

Section: Data Collectionmentioning

confidence: 99%

Application of the Theory of Planned Behaviour Model for Examining Customers’ Intentions towards Islamic Hire Purchase Financing

Ahmed¹,

Vveinhardt²,

Štreimikienė³

et al. 2019

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The paper deals with the issues relevant to behavioural economics studies, demonstrating psychological and behavioural aspects of Muslim banking customers across the world. The aim of the research is to investigate the factors that are significant to customers using the Islamic hire purchase (auto financing) in Pakistan. The novelty of this study is to develop a modified model based on the Theory of Planned Behaviour (TPB) and apply it to bridge this gap as well as to identify the determinants. The TPB model was applied to examine the intention of customers buying automobiles through Islamic hire purchase financing. This study involves 730 respondents who are customers of Islamic hire purchase (IHP) from major Islamic banks of Pakistan. The results of the study demonstrated that the basic items of the TPB instrument, for instance, subjective norms, attitude, and perceived behavioural control, significantly influenced customers' intention to use Islamic hire purchase financing. At the same time, researchers assimilated three factors such as religious belief, pricing of Islamic banking products, and knowledge of Islamic banking products as moderating variables. The results verified their moderation and exhibited a significant link between items of the Theory of Planned Behaviour model and intention to use the Islamic hire purchase.

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“…From the above formalization based on the link between human inside and outside divisions, we demonstrate the inclusion relationship between IDP-SC and ITD-SC or the possibility of conversion from IDP-SC to ITD-SC. Actually, every individual has two types of self [35,36] which are tied closely by the networking technology in the virtual brand community which in turn can utilize the difference of the different types of users in term of individuals' cognition, motivation, and emotion and then stimulate certain social behaviors [37][38][39][40][41].…”

Section: Self-construal Theory and Self-determination Theorymentioning

confidence: 99%

Inter-Edge and Cloud conversion accelerated user-generated content for virtual brand community

Song

Duan

Huang

et al. 2020

J Wireless Com Network

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Web-based enterprises have increasingly begun to build their own virtual brand community on the Cloud. How to encourage Web users to generate Web content in the Web community continuously and permanently has become the focal point. However, few studies have explored that how to drive the motivation of user-generated content (UGC) named self-enhancement (SE) internalized from the perspective of user's personal characteristics and then enhance the intention of UGC. Even fewer studies have been devoted to drive the motivation of UGC from the perspective of information technology. Based on self-construal (SC) theory, self-determination (SD) theory, and current immersive applications of Edge computing, we proposed to a solution of user-generated content motivation internalized in the virtual brand community implemented through the manipulation of the tradeoff of inter-Edge and Cloud processing. Our survey shows that different types of self-construal (SC) users have different levels of internal motivation for self-enhancement (SE) accomplished through the organization of user characteristics. We build a detailed simulation of the change of time delay, availability, and cost of inter-Edge and Cloud conversion to demonstrate the feasibility of our proposed mechanism of UGC motivation internalized in the virtual brand community in guiding enhancing the intention of UGC in the community in practice.

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Sharing product harm information: The effects of self-construal and self-relevance

Cited by 22 publications

References 88 publications

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

Application of the Theory of Planned Behaviour Model for Examining Customers’ Intentions towards Islamic Hire Purchase Financing

Inter-Edge and Cloud conversion accelerated user-generated content for virtual brand community

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