scholarly journals Explaining the Factors Influencing the Individuals’ Continuance Intention to Seek Information on Weibo during Rainstorm Disasters

2020 ◽  
Vol 17 (17) ◽  
pp. 6072
Author(s):  
Sheng Cheng ◽  
Liqun Liu ◽  
Ke Li
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Information Seeking ◽  
Structural Equation ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Factors Affecting ◽  
Perceptions Of Risk ◽  
Communication Needs ◽  
Facilitating Conditions

Being an interactive process, the success of risk communication needs to ensure the individuals’ right to know and influence their attitudes and perceptions of risk. Ubiquitous social media have expanded risk communication channels and innovated ways of risk communication. At the same time, uncertainty also arises with the diversity and variety of social media. Taking the rainstorm disaster in China as an example, this study focuses on factors affecting the individuals’ continuance intention of information seeking on Weibo (a social media platform similar to Twitter). Based on 377 valid respondents, this study applied an extended expectation–confirmation model (ECM), from which the results of partial least squares structural equation modeling (PLS-SEM) suggested that continuance intention is positively influenced by factors including effort expectancy, social influence, facilitating conditions, and satisfaction. Among them, satisfaction contributes the most, which helps maintain a balance between performance expectancy and continuance intention. Taking the individuals’ continuance intention to seek information on Weibo as the clue, this research provides government agencies with practical advice on how to use social media for more efficient risk communication during disasters and establish emergency preplans to respond to natural disasters.

Exploring the nexus of social media influencers and consumer brand engagement

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Lai Cheung ◽  
Wilson K.S. Leung ◽  
Morgan X. Yang ◽  
Kian Yeik Koay ◽  
Man Kit Chang
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Information Seeking ◽  
Structural Equation ◽  
Motivational Factors ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Consumer Engagement ◽  
Content Type ◽  
The Impact

PurposeGrounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.Design/methodology/approachA self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.FindingsThe results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.Practical implicationsThis study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.Originality/valueSMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

Consumer – brand engagement on Facebook: liking and commenting behaviors

2014 ◽  
Vol 8 (3) ◽  
pp. 203-223 ◽  
Author(s):  
Sertan Kabadayi ◽  
Katherine Price
Keyword(s):  
Social Media ◽  
Personality Traits ◽  
Conceptual Model ◽  
Structural Equation ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Modes Of Interaction

Purpose – The purpose of this paper is to study factors affecting consumers’ liking and commenting behavior on Facebook brand pages, and to analyze the mediating role of mode of interaction on relationships between personality traits and liking/commenting behavior. Design/methodology/approach – Data were collected using an online national survey from 269 respondents, ages between 18 and 32. The hypotheses were tested using structural equation modeling. Findings – Results support nine of ten hypotheses with significant relationships between analyzed constructs. It was found that two different modes of interaction acted as mediators between three personality traits and liking/commenting behavior on Facebook. Research limitations/implications – This study only included liking and commenting behavior on Facebook. Future studies could extend the conceptual model by including sharing behavior and other personality traits that were not included in this conceptual model. Practical implications – The findings have several implications for brand managers with respect to their social media strategies and give them guidance in achieving better customer engagement on Facebook. This research is an important step in understanding the factors affecting consumers’ Facebook behavior and useful for practitioners intending to use Facebook as part of their marketing strategy. Originality/value – The study provides a comprehensive framework to understand consumer engagement on Facebook by including specific types of Facebook behavior, three personality traits and two modes of interaction that consumers have in social media.

scholarly journals Connecting through Technology: Smartphone Users’ Social Cognitive and Emotional Motivations

2019 ◽  
Vol 8 (12) ◽  
pp. 326
Author(s):  
Song-yi Youn
Keyword(s):  
Social Media ◽  
Social Identity ◽  
Social Influence ◽  
Information Seeking ◽  
Structural Equation ◽  
Social Cognitive ◽  
Equation Modeling ◽  
Emotional Attachment ◽  
Value Perceptions ◽  
Expected Benefits

Smartphones provide various services not only for social purposes but also for personal desires. This study aims to understand the multi-dimensional motivations of smartphone users. An extended motivational framework was developed using perceived benefits (i.e., expected benefits) and social influence (i.e., social identity achieved from mobile social media) from a social cognitive perspective, which was then expanded to incorporate the second-order construct of emotional attachment (i.e., emotional desires). This study examines the effects of motivations on value perceptions, which consequently explains current smartphone use. Structural equation modeling (SEM) was used, and data collected from 738 current smartphone users were analyzed. Regarding the results, expected benefits (i.e., information seeking, entertained activity, self-reactiveness, and immediate access), social influence (i.e., social identity achieved from mobile social media), and emotional desires (i.e., emotional attachment) explained value perceptions (i.e., social, hedonic, and utilitarian values) which positively influence the recent use of smartphones.

scholarly journals Exploring the Determinants of Students' Satisfaction and Continuance Intention Using Online Learning in Jordan

2021 ◽  
pp. 28-41
Author(s):  
Hadeel Mahmoud Jebril
Keyword(s):  
Online Learning ◽  
Structural Equation ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
School Students ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Students Satisfaction

This research investigates factors affecting online learning satisfaction and continuance intention by Jordan school students. To this end, an integrated model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Information System Success (ISS) model has been used. A questionnaire was handed out to students from five Jordanian schools to collect data from 346 students, and the Structural Equation Modeling (SEM) technique was utilized to evaluate the proposed model. The findings indicated that the students' satisfaction is directly influenced by performance expectancy, effort expectancy, facilitating conditions, system quality. Besides, the empirical results showed that the continuance intention is directly influenced by students' satisfaction, performance expectancy, habit, effort expectancy, hedonic motivation, and facilitating conditions. The findings of this study will serve as a valuable resource for educational institutions, decision-makers, developers, and academics looking to enhance online learning systems by identifying the most important factors influencing students' satisfaction and continuance intention.

An empirical examination of Instagram as an s-commerce channel

2018 ◽  
Vol 15 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Salma Abed
Keyword(s):  
Saudi Arabia ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Social Commerce ◽  
Empirical Examination ◽  
Content Type ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Facilitating Conditions

Purpose The purpose of this paper is to review the literature and empirically examine a theory-based model in the context of social commerce (s-commerce). The study examined the popular photo-sharing platform “Instagram” to determine the value of s-commerce and its acceptance by customers. Design/methodology/approach Using the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, the researcher examined the proposed research model and related hypotheses. A survey questionnaire of 441 Instagram users in Saudi Arabia was collected and analyzed using structural equation modeling. Findings The results revealed that social influence and trust are the most significant factors affecting behavioral intention. In contrast, the effect of facilitating conditions on behavioral intention was found to be not significant. Originality/value Very limited empirical research has been conducted in the context of s-commerce in the Arab region generally and in Saudi Arabia specifically. The findings of the present study will provide guidance that could be put into action for marketers and professionals in Saudi Arabia.

Understanding drivers of brand love - the role of personalized ads on social media

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Trang P. Tran ◽  
Adrienne Muldrow ◽  
Khanh Ngoc Bich Ho
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Brand Management ◽  
Equation Modeling ◽  
Brand Love ◽  
Content Type ◽  
Factors Affecting ◽  
Brand Engagement ◽  
Digital World ◽  
The Impact

Purpose This paper aims to test a theory-driven model reflecting the effects of perceived personalization on consumer–brand relationships on social media. Design/methodology/approach The conceptual model is empirically tested through two studies using partial least squares-structural equation modeling. Other techniques, such as common method bias, multigroup comparison, mediation analysis and model fit comparison, are also used to give more insights into the analytical process. Findings Data from two studies show that perceived personalization is positively related to brand-related outcomes including brand self-expressiveness, consumer–brand engagement and brand connection. While consumer–brand engagement and brand connection are positively related to brand love, brand self-expressiveness is not. Research limitations/implications The paper contributes to the advertising and brand management literature by shedding light on a better understanding of the impact of personalization in the digital world. Practical implications Management could learn important lessons from personalization. If a strategy of promoting personalized ads is implemented successfully, those ads could change customer perceptions of brands which ultimately strengthens brand love. Originality/value This research provides an empirical model that helps marketers better understand the factors affecting brand love with personalized ads on social media.

scholarly journals Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model

2021 ◽  
Vol 13 (4) ◽  
pp. 2082
Author(s):  
Wilert Puriwat ◽  
Suchart Tripopsakul
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Structural Equation ◽  
User Behavior ◽  
Mobile Technologies ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Use Behavior

Nowadays, the advance of the internet and mobile technologies have changed our daily life, not only in terms of consumption but in how business is done. Social media has been recognized as one of the potential online platforms for entrepreneurs especially in small and medium business establishments to cope with large corporations. This study aims to investigate elements affecting social media adoption for business purposes by adopting a well-known technology acceptance model—the unified theory of acceptance and use of technology (UTAUT). The data of 196 samples were collected via online questionnaires in Thailand using the structural equation modeling (SEM) technique employed to verify the proposed model with empirical data. The outcomes illustrate the performance and effort expectancy and social influence significantly influence behavior prospects to implement social media for business purposes. Facilitating conditions significantly contribute to affecting actual user behavior. Also, the authors investigated the moderating effect of all demographic and behavioral factors such as gender, age, daily spent time on social media, and entrepreneur status. The results of the one-way analysis of variance (ANOVA) analysis show that there are immense variances in the intention of social media behavior and use behavior due to age. Younger adults tend to be more adept with user behavior and behavioral intention more than older adults.

scholarly journals Impact of COVID-19 Pandemic on Consumers Purchase Behaviour Through Social Media

2021 ◽  
Vol 1 (1) ◽  
pp. 14-19
Author(s):  
Lim Kah Boon ◽  
Yeo Sook Fern ◽  
Tan Cheng Ling ◽  
Wong Wei Wen
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Product Variety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Digital Tool ◽  
Online Retail ◽  
Factors Affecting ◽  
The Public

Social media refers to any digital tool that allows users to quickly create and share content with the public. The COVID-19 pandemic has indirectly changed consumers' purchasing habits, causing them to shift from traditional store purchases to online retail store purchases. Social media also changes the specialized strategies among sellers and purchasers. The main objective of this study is to investigate the factors affecting consumer purchase behaviour through social media during the COVID-19 outbreak. A set of the self-administered questionnaire has been distributed to 215 targeted young adults in three states of Malaysia which are Johor, Melaka and Selangor. The four independent variables are price, convenience, product variety and risk, are tested on their relationship towards the dependent variable, which is the purchase behaviour of consumers during the COVID-19 outbreak. The collected data were keyed into SPSS version 26 and followed by using Partial Least Square Structural Equation Modeling (PLS-SEM 3.3.3) to assess the hypothesis.  The analysis result showed that all hypotheses are supported. Lastly, the result of this research will benefit the marketers for their information to understand the consumer purchase behaviour through social media during the COVID-19 pandemic.

Information-Sharing Behaviors Among Sports Fans Using #Hashtags

2019 ◽  
pp. 216747951987846 ◽  
Author(s):  
Han Soo Kim ◽  
Kwang Min Cho ◽  
Minjung Kim
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Interpersonal Behavior ◽  
Equation Modeling ◽  
Sports Fans ◽  
Sport Fans ◽  
Facilitating Conditions ◽  
Information Circulation

The purpose of this study was to explore sports fans’ hashtags usage for information sharing over social media on the basis of the theory of interpersonal behavior. We collected data from 323 social media users who have employed hashtags to exchange sports-related information during the past 12 months. The structural equation modeling confirmed affect, perceived usefulness, perceived reciprocity, and social factors as motivators of the intention to share information. Other motivators, including habit and facilitating conditions, function as predictors of actual hashtags posting among sport fans. In deriving empirical evidence and novel insights into the role of hashtags, this research elevated our understanding of information circulation among sport fans over social media and serves as a foundation for inquiries into hashtag adoption in sport domains.

scholarly journals Evaluating key factors affecting knowledge exchange in social media community

2018 ◽  
Vol 169 ◽  
pp. 01023 ◽  
Author(s):  
Li-Wen Chuang ◽  
Shu-Ping Chiu
Keyword(s):  
Social Capital ◽  
Social Media ◽  
Social Network ◽  
Structural Equation ◽  
Social Issues ◽  
Knowledge Exchange ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Future Research ◽  
Factors Affecting

Today, social media opens up multiple options to add a new channel to learn and obtain knowledge. In particular, social media allows users to learn formal and informal social settings. Users can find like-minded people or community and organize knowledge exchange for educational or other purposes. This paper takes the theory of social network and social capital as the core factors to explore social media community members how to use social media platform to exchange knowledge. The paper uses social network and social capital as predictors of knowledge exchange so that we can use social media as a way to advance knowledge exchange ceaselessly. Therefore, there were 263 members of well-known social media community of knowledge exchange filling out the questionnaires completely, and then evaluated with structural equation modeling, and confirmatory factor analysis was also applied, using SmartPLS 2.0, to test if the empirical data conform to the proposed model. However, results also imply that social capital and social network distinctly play the important part of affecting knowledge exchange and communication about social issues on social media community goes hand in hand with knowledge exchange. Finally, this article proposes implications for theory and practice on the current and future research.

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