Antecedents of blatant benevolence on social media

Ashraf, Muhammad Hasan; Zhang, Jiayuan; Özpolat, Koray

doi:10.1080/0144929x.2022.2069595

Cited by 5 publications

(4 citation statements)

References 154 publications

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“…In contrast, prosocial actions may have conspicuous values, or prosocial users may have a desire for intangible recognition (e.g., a 'Thank you post on Facebook or a gold star icon') [244], or they may want to attain a warm glow or satisfy social network enhance-ment needs [182]. Such a reputational motivation for prosocial behavior, although a little criticized due to blatant benevolence [182], instead of reducing prosociality, may trigger prosocial actions by providing a more precise signal of altruism to others [182,244]. This help counterbalances online anti-social behaviors [182].…”

Section: Discussionmentioning

confidence: 99%

“…Such a reputational motivation for prosocial behavior, although a little criticized due to blatant benevolence [182], instead of reducing prosociality, may trigger prosocial actions by providing a more precise signal of altruism to others [182,244]. This help counterbalances online anti-social behaviors [182]. It is due to the fact that cultivating prosociality requires the efforts of family, friends, organizations, networks, schools, or members of the broader society [244].…”

Section: Discussionmentioning

confidence: 99%

“…For example, several recently published studies used sample size less than 300, including studies on problematic/addiction (n = 229) [179], social media overload effects [177], social media users' psychological wellbeing (n = 176) [180], psychological ownership on social media (n = 222) [178], social media participation during COVID-19 pandemic (n = 236) [181], cyberbullying (before and during pandemic: n = 173, 181) [156], and bystanders behavior (study 1, n = 150, study 2, 287) [95]. However, many researchers stated that if a variable has three or more items, a sample size of 100 is enough for convergence [182]. The required sample size for the current study was 74, according to the G*power test (i.e., with f 2 = 0.15, α = 0.05, 1-β error Prob.…”

Section: Sample and Data Collectionmentioning

confidence: 99%

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Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior

Shahzalal

Adnan

2022

Sustainability

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Severe abuse of social media has currently become a threat to social sustainability. Although “responsible use of social media” has recently attracted academics’ attention, few studies have investigated the psychosocial antecedents of individuals’ intention to use social media responsibly (IUSR). Therefore, the current study tested whether attitudes, self-control, and prosocial norms (ASP) can positively and significantly predict social media users’ IUSR. To this end, the theoretical interrelationships among ASP were explored, and an initial pool of items was developed by reviewing the relevant literature. Then, the items were selected based on a panel of experts’ content validity test. An online questionnaire was used to survey university student social media users (n = 226) in Bangladesh. PLSc-SEM and CB-SEM bootstrapping, followed by an artificial neural network (ANN) analysis, were completed to evaluate the measurement and structural models. Current results show that the three elements of ASP strongly correlate with and significantly influence each other, but attitude and prosocial norms partially mediate the relationships between the antecedents and intention. The predictors in the proposed model substantially predict and explain IUSR, which is supported by results of relevant past studies in different disciplines. Thus, the model expresses its applicability as a modified theory of planned behavior (TPB) in researching individuals’ social media behavior. The study has implications for relevant stakeholders to take crucial measures to promote more responsible use of social media. Limitations and avenues for future study are also presented.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Sample and Data Collectionmentioning

confidence: 99%

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Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior

Shahzalal

Adnan

2022

Sustainability

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“…Ganesan (1994) defined trust as the readiness to rely on another party based on beliefs or expectations emerging from this partner's experience, reliability, and benevolence. Benevolence refers to the belief that the company has the intent and stimulus to act in the future, by considering customers benefits without seeking rewards (Ashraf et al, 2022). In hospitality, benevolence trust is "the customer's reliance upon the honesty, concern, benevolence and care revealed by the hotel" (Rather, 2018, p. 394).…”

Section: Thus the Following Is Hypothesizedmentioning

confidence: 99%

Investigating the Impact of Social Media Marketing on Intention to Follow Advice: The Mediating Role of Active Participation and Benevolence Trust

Ibrahim

Aljarah

Hazzam

et al. 2023

FIIB Business Review

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The concept of social media marketing (SMM) extends beyond general marketing. SMM has significantly impacted the creation and development of marketing concepts. Drawing on the stimulus (S)–organism (O)–response (R) model, this research aimed to explore benevolence trust, active participation and intention to follow advice (IFA) as three consequences of SMM activities (SMMAs). It also aimed to investigate benevolence trust and active participation as a mediator between SMMAs and IFA with regard to a restaurant brand advertised on Facebook. This study used structural equation modelling and obtained data from 364 followers of a restaurant’s Facebook page. The study results showed that SMMAs significantly influenced benevolence trust, active participation and IFA. Furthermore, benevolence trust and active participation significantly influenced IFA. The findings also indicated that benevolence trust mediates the relationship between SMMAs and customer IFA. In addition, active participation with restaurant brands on Facebook acts as a mediator between SMMAs and IFA.

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The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles

Alexi,

Lazebnik,

Rosenfeld

2024

Scientometrics

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Antecedents of blatant benevolence on social media

Cited by 5 publications

References 154 publications

Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior

Attitude, Self-Control, and Prosocial Norm to Predict Intention to Use Social Media Responsibly: From Scale to Model Fit towards a Modified Theory of Planned Behavior

Investigating the Impact of Social Media Marketing on Intention to Follow Advice: The Mediating Role of Active Participation and Benevolence Trust

The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles

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