Bandwagon effects in social television: How audience metrics related to size and opinion affect the enjoyment of digital media

Waddell, T. Franklin; Sundar, S. Shyam

doi:10.1016/j.chb.2020.106270

Cited by 32 publications

(10 citation statements)

References 23 publications

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“…Further, the study found a significant impact of bandwagon pressure on the acceptance of big data platforms, it can be understood by the notion that employees' acceptance of big data platforms is enhanced when more of their peers in other higher education organizations use big data platforms in teaching and are typically active with big data platforms. This result adds to the existing literature on the bandwagon pressure role [8,52,53].…”

Section: Discussionsupporting

confidence: 63%

“…Among these IJEEI ISSN: 2089-3272  factors is management drive which has been examined in different contexts and denotes to the management will facilitate and motivate its employees to embrace specific technology [6,7]. Besides, bandwagon pressure is a phenomenon where other peer organizations influence the actions of their organization [8], and training as an important tool to equip employees with the necessary skills and comprehension of the new technology [9,10]. Lastly, this study makes use of the task-technology-fit as a moderating variable as it was found to strengthen the impact in some studies in the literature [11].…”

Section: Introductionmentioning

confidence: 99%

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Towards a better understanding of the Organizational Characteristics that affect Acceptance of Big Data Platforms for Academic Teaching

Aldholay

Isaac²,

Jalal

et al. 2021

IJEEI

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In today's era of information, data has been growing at an exponential rate to become big data, and it needs platforms to allow users to govern, access, deliver, analyze, and use these huge databases. Academics in higher education need to utilize these platforms in teaching to enrich and empower the educational experience of their students of these institutions. The purpose of the current study is to investigate the impact of organizational characteristics on the acceptance of big data platforms for academic teaching among higher education institutes in Malaysia. 143 respondents participated to examine the effect of organizational characteristics (Management Drive, Bandwagon Pressure, and Training) on the acceptance of big data platforms for academic teaching. Besides, examining the moderating role of task technology fit. The results illustrate that management drive, bandwagon pressure has a significant impact on acceptance, with an insignificant impact of training on the acceptance. However, task technology fit has not moderated any of the proposed relationships. This study would give insight for the higher education institutes managements to improve their academics acceptance of the big data platforms in teaching and therefore drive them to use the aforementioned platforms.

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Section: Discussionsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Towards a better understanding of the Organizational Characteristics that affect Acceptance of Big Data Platforms for Academic Teaching

Aldholay

Isaac²,

Jalal

et al. 2021

IJEEI

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show abstract

“…Sundar and Nass (2001) suggested that something must be good if everyone thinks it is good. This observation resonates with the documented bandwagon effect that addresses the influence of audience size and offers a mental shortcut to the collective wisdom (Waddell and Sundar, 2020). In this manner, crowd endorsements signal that a brand is worth experiencing.…”

Section: Antecedents Of Like-clickingsupporting

confidence: 65%

We “like” to value the brand: a mixed-method study

Thai

Wang

Nguyen

2022

JPBM

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Purpose From the perspectives of service-dominant logic and social identity theory, this study aims to assess social networking site (SNS) users’ likes as a form of social endorsement as well as its effects on like-clicking behavior, perceived brand value, customer-brand identification and purchase intention. Furthermore, the different effects of social endorsement on the perceived functional, hedonic, social and monetary brand value were investigated so as to support SNS users’ role as value cocreators. Design/methodology/approach An online survey was administered as a pretest of customer perceptions regarding brands that are liked on SNSs. Next, an experiment was conducted to verify the effects of social endorsement. A mixed-method approach including partial least squares (PLS) and fuzzy set qualitative comparative analysis (fsQCA) was adopted for the data analysis. Findings The results revealed that like-clicking behavior could be contagious because SNS users exposed to others’ likes were more likely to click the like button themselves. Like-clicking behavior positively influenced the perceived functional, hedonic, social and monetary value of the liked brand. Perceived brand value strengthened customer-brand identification, thereby increasing purchase intention. Originality/value Like-based social endorsements were confirmed as a type of value cocreation behavior that benefits the endorsed brand by spreading brand awareness, and increasing customer acquisition and retention. An fsQCA approach was developed to measure the moderating effect of users’ propensity to click the like button on perceived brand value, thus contributing to the advancement of fsQCA.

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“…Studies involving experiments (Waddell & Sundar, 2020;Xue, 2019) have measured herding effect by comparing means of outcome variables in experimental and control groups. Some studies (Li & Wu, 2018;Sunder, Kim, & Yorkston, 2019) have also measured herding behavior with the help of regression equations by using real data from websites.…”

Section: Measuring Herding Behaviormentioning

confidence: 99%

Consumer Herding Behavior in Online Buying: A Literature Review

Ali¹,

Amir²,

Shamsi³

2021

IRMBR

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The purpose of this review paper is to present the application of herding behavior in online buying. The simplest description of herding behavior is the imitation of others in making decisions. Online buying platforms have facilitated observing others' buying behavior, thereby increasing possibilities of social influence on our information search, evaluation, and buying. The concept of herding is multi-disciplinary; however, the literature review on herding behavior is mainly grounded in economics and finance. There is little understanding of herding behavior in marketing literature. Therefore, this study covers herding behavior literature through high-quality research papers published from 2000 to 2020 in journals indexed in the social science citation index, science citation index expanded, and emerging source citation index. This paper discusses the conceptualization of herding in online buying, herding situations, information-processing view of herding, measuring herding effect, herding models and theories, and areas for future research to enrich herding literature in online buying. This paper proposes a herding model (HCMMD) based on the stimulus-organism-response (SOR) theory to study herding behavior. Keywords: Consumer Herding Behavior, Herding Literature Review, Herding Models, Online Buying, Stimulus-Organism-Response (SOR) Theory.

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Bandwagon effects in social television: How audience metrics related to size and opinion affect the enjoyment of digital media

Cited by 32 publications

References 23 publications

Towards a better understanding of the Organizational Characteristics that affect Acceptance of Big Data Platforms for Academic Teaching

Towards a better understanding of the Organizational Characteristics that affect Acceptance of Big Data Platforms for Academic Teaching

We “like” to value the brand: a mixed-method study

Consumer Herding Behavior in Online Buying: A Literature Review

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