Understanding mobile users' information adoption behaviour: an extension of the information adoption model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulaziz Elwalda ◽  
İsmail Erkan ◽  
Mushfiqur Rahman ◽  
Deniz Zeren
Keyword(s):  
Social Support ◽  
Mobile Communications ◽  
Structural Equation ◽  
Information Quality ◽  
Research Model ◽  
Content Type ◽  
Social Media Platforms ◽  
Adoption Model ◽  
Practical Implications ◽  
Information Adoption

PurposeMobile messaging applications (MMAs) have surpassed top social media platforms. Recent and rapid use of MMAs has made it extremely difficult to ignore the existence of customer-to-customer (C2C) mobile information. This study, therefore, aims to expand the knowledge of customers' adoption behaviour of such information.Design/methodology/approachThrough applying and utilizing social support theory (SST) and the information adoption model (IAM), this study introduces a holistic theoretical model, explaining customers' adoption of information derived from MMAs and exploring the antecedents of IAM. Based on the data collected from 305 UK MMA users, this study empirically tests the research model using structural equation modelling estimation.FindingsThe results of this study reveal that social support is a key antecedent of information quality and credibility and support IAM in terms of its ability to explain MMAs' information adoption.Practical implicationsThe insights are valuable for businesses and marketers to understand customers' mobile communications and be socially support-oriented while developing marketing communication strategies.Originality/valueThe study integrates SST and IAM to improve the understanding of customers' information adoption behaviour. It is the first attempt that establishes that social support is a key antecedent of IAM.

YouTube channels influence on destination visit intentions

2020 ◽  
Vol 12 (1) ◽  
pp. 23-42
Author(s):  
Neelika Arora ◽  
Suman Lata
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Source Expertise ◽  
Indian Context ◽  
Past Experiences ◽  
Practical Implications ◽  
Information Adoption

Purpose With the usage of social media and Web 2. 0, YouTube channels currently play a pivotal role in supporting a traveler’s destination visit. Travelers create their YouTube channels and share their past experiences in the form of videos, which helps other potential travelers to support their destination visit. The purpose of this paper is to understand how travelers adopt information through YouTube channels and how it influences the traveler’s intention to visit a destination. Design/methodology/approach A research model was constructed and empirically tested by using a sample of 486 respondents who watch YouTube channels before visiting a destination. Further, the hypotheses of this study were validated with the help of structural equation modeling using partial least squares. The respondents in this study were from Delhi. Findings This paper found comprehensiveness, relevance, timeliness, source expertise and attitude as the most significant predictors of a traveler’s destination visit intention through YouTube channel adoption. Further, source trustworthiness and accuracy were not found to be statistically significant. Research limitations/Implications The findings of this paper were based on data taken from the local respondents in Delhi. Further, it analyzed the influence of only seven dimensions on destination visit intention, which could have excluded some important factors that influence tourists’ destination visit intention. Practical implications This paper has provided implications for YouTube vloggers and tourists. The result proves that while making decisions regarding destination visit, tourists thinks critically and scrutinize the content of YouTube channels prior to deciding a destination. So, vloggers should provide relevant, comprehensive and accurate destination information through their videos to tourists. Originality To the best of authors’ knowledge, this paper is the first in the Indian context to examine the adoption of YouTube channels before visiting destinations through information adoption models with additional constructs.

Improving travellers' trust in restaurant review sites

2019 ◽  
Vol 74 (4) ◽  
pp. 830-840 ◽  
Author(s):  
Rafael Anaya-Sánchez ◽  
Sebastian Molinillo ◽  
Rocío Aguilar-Illescas ◽  
Francisco Liébana-Cabanillas
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Information Quality ◽  
Source Credibility ◽  
Research Model ◽  
Content Type ◽  
Equation Modelling ◽  
Antecedents And Consequences ◽  
Practical Implications ◽  
Significant Moderator

Purpose This paper aims to focus on understanding how restaurant review sites generate trust among travellers and the effect of trust on the intention to visit and recommend restaurants while travelling. Design/methodology/approach The research model was assessed with data from a sample of 439 Spanish tourists using partial least squares structural equation modelling (PLS-SEM). Findings Information quality and source credibility are key for generating website trust. Website quality does not influence trust. Website trust is a key variable for explaining both intention to visit and recommend a restaurant, offline and online. Age is a significant moderator. Research limitations/implications This study expands the literature by assessing the antecedents and consequences of travellers’ trust in restaurant review sites during their trips. Practical implications Strategies are suggested for review sites, restaurants and destination managers. Originality/value This research enhances the knowledge of how consumers perceive restaurant review sites, and their behavioural intention while travelling.

scholarly journals Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach

2021 ◽  
pp. 026666692110108
Author(s):  
Isaac Kofi Mensah ◽  
Samuel Adams ◽  
Joseph Kwame Adjei ◽  
Deborah Simon Mwakapesa
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Quality Information ◽  
Government Services ◽  
Intention To Adopt ◽  
Adoption Model ◽  
Practical Implications ◽  
Information Adoption

The study scrutinized the behavioral adoption of informational e-government services among Chinese citizens in the midst of the COVID-19 pandemic. A structural equation modeling (SEM) technique was applied for the data analysis using Smart PLS 3.0 statistical software. The results show that information quality, information credibility, and ease of COVID-19 informational e-government services are significant in determining citizens’ perception of the usefulness of COVID-19 information shared on e-government platforms. Also, the study revealed that the perceived usefulness of COVID-19 informational e-government services was significant in predicting citizens’ intention to adopt and recommend COVID-19 informational e-government services. The theoretical and practical implications of these findings are interrogated further.

How information acceptance model predicts customer loyalty?

2020 ◽  
Vol 33 (1) ◽  
pp. 60-73
Author(s):  
Tiwa Park
Keyword(s):  
Social Media ◽  
Customer Loyalty ◽  
Purchase Intention ◽  
Structural Equation ◽  
Information Quality ◽  
Information Need ◽  
Content Type ◽  
Acceptance Model ◽  
Information Adoption ◽  
Information Acceptance

Purpose This study aims to explore the influence of electronic word of mouth (eWOM) in social media on customer loyalty by using the information acceptance model (IACM). For this purpose, this study identified the relationship of attitude towards information, information credibility, information quality and information with information usefulness. Later, the relation of information usefulness and information adoption was examined. According to the IACM, this information adoption and attitude towards information can affect behavioural outcomes of customer, and the authors used customer loyalty as a behavioural outcome. Design/methodology/approach This study collected the data from students enrolled in different universities of Thailand. More specifically, those students were considered appropriate for study who were active Facebook users. Therefore, a questionnaire was posted in 83 different Facebook groups of university students, from which 771 students responded properly. SPSS and AMOS 24 were used to conduct data reliability, descriptive and correlation analysis, confirmatory factor analysis (CFA), and structural equation modelling (SEM). Findings The study found that credibility, quality, usefulness and adoption of information, need of information and attitude towards information are the key factors of eWOM in social media that influence consumers’ loyalty. Practical implications This study will be helpful for marketing managers in studying patterns of customer loyalty because many studies have previously examined purchase behaviour or purchase intention only. Moreover, it will provide framework to marketers for understanding the influence of eWOM information in social media on customer loyalty. Originality/value This study is to explore the effect of credibility, quality, usefulness and adoption of information, need of information and attitude towards information on consumers’ loyalty.

Estimating green purchase behavior: an empirical study using integrated behavior model in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Zillur Rahman Siddique ◽  
Goutam Saha ◽  
Aminur Rahman Kasem
Keyword(s):  
Perceived Control ◽  
Purchase Intention ◽  
Structural Equation ◽  
Purchase Behavior ◽  
Equation Modeling ◽  
Behavior Model ◽  
Research Model ◽  
Content Type ◽  
Green Behavior ◽  
Practical Implications

Purpose This paper aims to examine the exogenous effects of experiential attitude toward green (EAG), instrumental attitude toward green (IAG), injunctive norms on green (ING), descriptive norms about green (DNG), green perceived control (GPC) and green self-efficacy (GSE) on green purchase intention (GPI). Moreover, this paper also investigates the causal factors of green purchase behavior (GPB) considering green knowledge (GK), the salience of green behavior (SGB), environmental constraints (ECPG) and green habit (GH). Design/methodology/approach The research model was adopted to measure the green behavior of Bangladeshi consumers using an integrated behavior model (IBM). The data were randomly collected from 372 respondents and partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypotheses. Findings PLS results imply that all independent variables (EAG; IAG; ING; DNG; GPC and GSE) impact GPI; and SGB, GH and GPI influence GPB. On the other hand, GK and ECPG have no significant effect on GPB. Research limitations/implications There may present a gap in the outcomes of the study to signify the generalizability because the survey was conducted in some cities of Bangladesh which may not represent the country as a whole. Practical implications This study anticipates the cause-effect relationship between GPI, GPB and their determinants. The results of the study can help marketers understand green consumer behavior and design appropriate strategies and tactics for new marketing challenges. Originality/value This research investigates green purchase behavior in a developing country. It empirically confirms the validity of IBM in assessing green behavior, especially for Bangladesh, a booming economy and suitable for investment. Although ample research explored green purchase behavior, green habit and saliency have not been considered in measuring green purchase behavior.

Examining social capital on mobile SNS: the effect of social support

2016 ◽  
Vol 50 (4) ◽  
pp. 367-379 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Social Support ◽  
Social Capital ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Research Model ◽  
Content Type ◽  
Mobile Social Networking ◽  
Equation Modelling ◽  
Mobile Sns

Purpose The purpose of this paper is to examine the effect of social support on social capital in mobile social networking sites. Design/methodology/approach Based on the 234 valid responses collected from a survey, structural equation modelling was employed to examine the research model. Findings The results indicated that social support, which includes informational support and emotional support, has a significant effect on social capital that consists of structural, relational and cognitive capital. Originality/value Although previous research has found the effect of social capital on user behaviour, it has seldom identified the determinants of social capital. Thus, how to build and develop social capital remains a question. This research examined the effect of social support on social capital.

Developing a theory of focal company business sustainability efforts in connection with supply chain stakeholders

2018 ◽  
Vol 23 (1) ◽  
pp. 16-32 ◽  
Author(s):  
Göran Svensson ◽  
Carlos Ferro ◽  
Nils Hogevold ◽  
Carmen Padin ◽  
Juan Carlos Sosa Varela
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Research Model ◽  
Content Type ◽  
Business Sustainability ◽  
Focal Company ◽  
Practical Implications ◽  
Downstream Market

Purpose The purpose of this paper is to test the structural properties of a stakeholder research model of focal company business sustainability and the associated consideration of upstream, downstream, market and societal stakeholders. Design/methodology/approach Based on two industrial business samples in Norway and Spain, partial least squares– structural equation modelling (PLS-SEM) was applied to empirically test a research model consisting of five stakeholder constructs. Findings The model was tested in Norway and validated in Spain. An analysis of the path coefficients and levels of significance shows that all relationships in the research model were significant and meaningful. Research limitations/implications This paper develops a model that explains and predicts company considerations of other stakeholders in the business sustainability efforts within supply chains (both upstream and downstream) and also beyond in the market and society. Practical implications The results of this study can guide companies in structuring, planning and implementing business sustainability in their supply chains, the marketplace and the society. It can also provide a foundation for monitoring and follow-up assessment of corporate decision-making. Originality/value This study contributes to supply chain management (SCM) and stakeholder theory to establish a framework for business sustainability with respect to company stakeholders in supply chains.

Examining users’ knowledge sharing behaviour in online health communities

2019 ◽  
Vol 53 (4) ◽  
pp. 442-455 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Research Model ◽  
Privacy Concern ◽  
Content Type ◽  
Online Health Communities ◽  
Community Platforms ◽  
Health Communities

Purpose The purpose of this paper is to draw on the stimulus-organism-response (SOR) framework to examine users’ knowledge sharing in online health communities (OHC). Design/methodology/approach Based on the 326 valid responses collected from a survey, structural equation modelling was employed to examine the research model. Findings The results indicated that both information quality and service quality affect trust in community, whereas both informational support and emotional support affect trust in other members. Both types of trust and privacy risk determine users’ sharing intention, which in turn affects sharing behaviour. Research limitations/implications The results imply that service providers need to improve their community platforms and create a supportive climate in order to facilitate users’ trust and their knowledge sharing behaviour. Originality/value Previous studies have examined a few determinants of OHC user behaviour such as privacy concern, trust and motivations. However, they have seldom disclosed the internal decision process underlying users’ knowledge sharing. This research tries to fill the gap.

scholarly journals The Effect of YouTube eWOM on Consumer Buying Interest

Revista CEA ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. 167-179
Author(s):  
Amar Nuriman Izudin ◽  
Endang Ruswanti ◽  
Moehammad Unggul Januarko
Keyword(s):  
Structural Equation ◽  
Information Needs ◽  
Information Quality ◽  
Reasoned Action ◽  
Equation Model ◽  
Quality Information ◽  
Analysis Techniques ◽  
Adoption Model ◽  
Acceptance Model ◽  
Information Adoption

YouTube creates valuable social media opportunities in eWOM content. Individuals currently discuss products and other matters with their friends and new acquaintances over the internet. The purpose of this study was to determine the effect of YouTube eWOM conversations on consumer buying interest. Based on the Information Adoption Model (AIM) and the Theory of Reasoned Action (TRAM), we developed a new conceptual model: The Information Acceptance Model (IACM). In this quantitative study, the population under analysis, composed of followers of a YouTube channel, was selected using purposive sampling so that the number of respondents was 200. We implemented data analysis techniques using the Structural Equation Model with Lisrel. The results show that information quality, information credibility, information needs, information usefulness, information adoption, and attitude towards information influence consumer buying interest.

Antecedents and outcome of employee change fatigue and change cynicism

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noufou Ouedraogo ◽  
Mohammed Laid Ouakouak
Keyword(s):  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Research Model ◽  
Change Initiatives ◽  
Content Type ◽  
Equation Modelling ◽  
Negative Effect ◽  
The Impact ◽  
Practical Implications

PurposeOrganisations implement changes either to address real business imperatives or to follow trends in their industries. But frequent changes in an organisation often lead to employee change fatigue and change cynicism. The purpose of this study is to investigate the impact of the change logic of appropriateness and the logic of consequences on change fatigue and change cynicism and the impact of change fatigue and change cynicism on change success.Design/methodology/approachTo carry out this study, the authors collected data on a sample of 320 participants from diverse organisations, and they used structural equation modelling (SEM) techniques to test our hypotheses depicted in the research model.FindingsThe authors found that the change logic of consequences reduces both change fatigue and change cynicism, whereas the change logic of appropriateness increases change fatigue. The authors also found that change fatigue does not have any direct effect on change success, although it maintains an indirect negative effect on change success through change cynicism.Practical implicationsAlong with other practical implications, the authors recommend that change managers help employees understand any logic of consequences that sustain their change initiatives. Additionally, change managers should work to prevent change fatigue from turning into change cynicism, which is the real precursor of reduced change success.Originality/valueThis study is among the first to show that employees experience change fatigue and change cynicism differently, depending on the reason underlying the change. It is also among the first to show that change fatigue does not affect change success directly but does so through the interplay of change cynicism.

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