Investigating the effects of information quality and perceived risk on information adoption on travel websites

2014 ◽  
Author(s):  
S. Y. Tseng ◽  
A. M. Kuo
Keyword(s):  
Perceived Risk ◽  
Information Quality ◽  
Travel Websites ◽  
Information Adoption

scholarly journals Effects of information quality on information adoption on social media review platforms: Moderating role of perceived risk

2021 ◽  
Vol 1 (1) ◽  
pp. 13-22
Author(s):  
Guoyin Jiang ◽  
Fen Liu ◽  
Wenping Liu ◽  
Shan Liu ◽  
Yufeng Chen ◽  
...  
Keyword(s):  
Social Media ◽  
Perceived Risk ◽  
Information Quality ◽  
Moderating Role ◽  
Media Review ◽  
Information Adoption

scholarly journals Examining the Effects of eWOM, Trust Inclination, and Information Adoption on Purchase Intentions in an Accelerated Digital Marketing Context

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 478 ◽  
Author(s):  
Muddasar Ghani Khwaja ◽  
Saqib Mahmood ◽  
Umer Zaman
Keyword(s):  
Social Media ◽  
Perceived Risk ◽  
Structural Equation ◽  
Information Quality ◽  
Purchase Intentions ◽  
Online Information ◽  
Argument Quality ◽  
Social Media Networks ◽  
Comprehensive Framework ◽  
Information Adoption

The study focuses on the canvas of online information transmission that has expanded exponentially. Especially due to social media networks, consumers have been exposed to significant amounts of disinformation, misinformation and actual information. Electronic word-of-mouth (eWOM) on social media networks has been facilitating swift information spread. Henceforth, it has become increasingly problematic for consumers to adopt authentic information and differentiate between marketers-generated content and user-generated content. The study aims to unfold the factors that lead to the information adoption that consequently motivates consumers to purchase products and services. The research study provides a comprehensive framework to re-configure factors that lead to consumers’ purchase intentions in the digital economy. Respondents of the study were those individuals who have been buying products online. The theoretically knitted causal relationships were estimated using a structural equation modelling (SEM) technique. The results indicate that trust inclination and information adoption sequentially mediate relationships between information quality, information usefulness, perceived risk and argument quality with purchase intentions.

scholarly journals Analysis on Influence of Business Intelligence Information Quality over User Information Adoption Based on Multiple Mediating Effects

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Xiaogang Guo ◽  
Lifang Wang ◽  
Yanni Gao ◽  
Lixiang Guo
Keyword(s):  
Business Intelligence ◽  
Perceived Risk ◽  
Information Quality ◽  
Information Access ◽  
Structural Equations ◽  
Ease Of Use ◽  
Is Success ◽  
Factors Affecting ◽  
User Behaviors ◽  
Information Adoption

From the perspective of information, this paper constructs a theoretical model based on information system (IS) success model and information adoption model (IAM), aiming to further disclose the action mechanism of business intelligence (BI) on user information adoption (UIA). Firstly, the BI factors affecting UIA were modeled in reference to the existing literature. Next, a questionnaire survey was carried out to collect valid samples from 423 Chinese enterprises. After that, an empirical analysis on structural equations was conducted on Amos 24.0 and SPSS 26.0. The results show that BI information content quality (ICQ), expected performance (EP), expected ease-of-use (EEOU), and perceived risk (PR) have a direct and significant influence on UIA, and ICQ further significantly influences UIA via mediators such as EP, EEOU, and PR; BI information access quality (IAQ) has a direct yet insignificant influence on UIA, but exerts a significant positive effect on UIA of BI via EP and EEOU. The research provides a new perspective into BI user behaviors in the context of big data, and a good reference for the successfully implementation and use of BI in practice.

scholarly journals Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1133
Author(s):  
Jingfang Liu ◽  
Jun Kong
Keyword(s):  
Mental Health ◽  
Text Mining ◽  
Mental Disorders ◽  
Empirical Analysis ◽  
Online Community ◽  
Information Quality ◽  
Social Experience ◽  
Adoption Model ◽  
Health Communities ◽  
Information Adoption

An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

Auditing and credit granting to SMEs: an integrative perceptual model

2019 ◽  
Vol 35 (1) ◽  
pp. 152-174
Author(s):  
Estefanía Palazuelos ◽  
Ángel Herrero Crespo ◽  
Javier Montoya del Corte
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Information Quality ◽  
Accounting Information ◽  
Bank Loan ◽  
Integrative Model ◽  
Medium Size ◽  
Content Type ◽  
Loan Officers ◽  
Credit Granting

Purpose The purpose of this study is to develop an integrative model of credit granting to small- and medium-size enterprises (SMEs) incorporating the loan officers’ perceptual factors about SMEs (risk and trust) and accounting information (quality and usefulness). Moreover, the role of auditing on credit granting has been studied. Design/methodology/approach The structural equation modelling (SEM) approach is used to test the joint effect of explanatory variables. Empirical evidence is obtained from a questionnaire administered to 471 bank loan officers in Spain. The questions are asked for both audited and not-audited firms. Findings The results obtained confirm that perceived risk and trust have a significant influence on the probability that SMEs can get access to credit and obtain better financing conditions. Additionally, this research supports the relevance of presenting high-quality accounting information, as it increases information usefulness for loan officers, which improves the perceived risk and trust on SMEs and leads to better credit granting. There are no significant differences on the model between the sub-groups of audited and not-audited SMEs, although the valuations are significantly better for the former. Research limitations/implications This study shows the need to consider subjective variables to understand properly the cognitive process underlying credit-granting decisions. Practical implications This research has relevant implications for the management of relationships between SMEs and banks. Originality/value This study contributes to the previous literature by proposing an integrative model of the variables that affect loan officers’ lending decision to SMEs, considering the influence of perceptual variables such as risk and trust, as well as the evaluation of the information available.

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.

eWOM source credibility, perceived risk and food product customer's information adoption

2017 ◽  
Vol 66 ◽  
pp. 96-102 ◽  
Author(s):  
Safdar Hussain ◽  
Wasim Ahmed ◽  
Rana Muhammad Sohail Jafar ◽  
Ambar Rabnawaz ◽  
Yang Jianzhou
Keyword(s):  
Perceived Risk ◽  
Source Credibility ◽  
Food Product ◽  
Information Adoption

scholarly journals Citizen Perceptions of E-Government in the Kurdistan Region of Iraq

2015 ◽  
Vol 19 ◽  
Author(s):  
Khosro Mohammad Ahmed ◽  
John Campbell
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Capital City ◽  
Intention To Use ◽  
Kurdistan Region ◽  
Government Services ◽  
Self Rule

Despite increasing investment by governments globally, citizens in some countries are less willing to engage with e-government innovations. While previous studies have examined what might encourage citizens to adopt e-government services more broadly, further research is required to understand those factors that impede or enable e government adoption in countries that have, or are in the process of, transitioning to democratic self-rule. This study is the first to investigate citizen attitudes to e-government adoption in the Kurdistan Region of Iraq and thus provides insight into the factors affecting the adoption of e-government within an emerging democratic state. This study also distinguishes between two types of e-government services; informational and transactional. Thus a research model with two elements is developed and tested; one for intention to use informational e government and one for intention to use transactional e-government. Data were collected through a survey administered to university students and non-academic employees in Arbil the capital city of Kurdistan, and analysed using structural equation modelling. Perceived usefulness, social influence, trust in government and perceived risk were found to be significantly and directly associated with the intention to use both kinds of e-government services. However perceptions of ease of use, information quality and trust in the Internet were not significant.

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