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

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.

2016 ◽  
Vol 12 (2) ◽  
pp. 258
Author(s):  
Babur Hayat Malik ◽  
Cai Shuqin ◽  
Saqib Qamar ◽  
Butt Mattiullah

Objective of this article is to investigate the success (by determining citizen’s intention to use and satisfaction) of Land Record Information Systems (LRMIS) from perspective of Pakistan. The success of this egovernment information system is investigated using an incorporated IS success model. Model formulated here features constructs such as System Quality, Service Quality, and Information Quality, Perceived Risk, Perceived Ease of Use, Perceived Satisfaction, Perceived Usefulness, Awareness, Trust, Information Security and Behavioral Intention. The suggested incorporated research model of IS was validated using feedbacks taken from 250 citizens across different cities of Pakistan. Verifiable findings showed the positive and substantial linkage between all 17 hypothesized associations of 10 different constructs. Validated data-based outcomes and argumentations provided in this research can help government to enrich upon and to completely avail the potentiality of LRMIS as serviceable and an effective computer system toward a digital, secure, lucid and uncorrupted society.


2019 ◽  
Vol 38 (2) ◽  
pp. 352-367 ◽  
Author(s):  
Samer Elhajjar ◽  
Fadila Ouaida

Purpose The purpose of this paper is to develop a conceptual model that explains the most important factors affecting mobile banking adoption for Lebanese banking customers. Design/methodology/approach Based on the data collected through a survey, structural equations modeling and path analysis were utilized to test the hypotheses. In total, 320 questionnaires were collected from Lebanese customers. Findings The results show that digital literacy, resistance to change, perceived risk, perceived ease of use, and perceived usefulness were found to be the main variables affecting users’ attitudes toward adoption of mobile banking, whereas awareness and compatibility showed no significant impact on adoption. In addition, both subjective norms and personal innovativeness influenced users’ adoption moderated the relationships between usefulness attitude and ease of use attitude. Originality/value The study fills a gap in the literature by exploring e-readiness influence on adoption through testing the variable “digital literacy” and by examining the effect of the frequency of branch visits on the intention to adopt mobile banking. Social and individual variables, such as social influence and personal innovativeness, which were rarely examined in past studies, are employed in this research. All of our respondents were actual bank account holders.


2021 ◽  
Vol 1 (1) ◽  
pp. 13-22
Author(s):  
Guoyin Jiang ◽  
Fen Liu ◽  
Wenping Liu ◽  
Shan Liu ◽  
Yufeng Chen ◽  
...  

Author(s):  
Javier N. Montero ◽  
Mary L. Lind

Business intelligence systems are highly complex systems that senior executives use to process vast amounts of information when making decisions. Business intelligence systems are rarely used to their full potential due to a poor understanding of the factors that contribute to system success. Organizations using business intelligence systems frequently find that it is not easy to evaluate the effectiveness of these systems, and researchers have noted that there is limited scholarly and practical understanding of how quality factors affect information use within these systems. This quantitative post positivist research used the information system (IS) success model to analyze how information quality and system quality influence information use in business intelligence systems. This study was also designed to investigate the moderating effects of maturity constructs (i.e., data sources and analytical capabilities) on the relationships between quality factors and information use.


Author(s):  
Aleš Popovič ◽  
Jurij Jaklič

The IS literature has long highlighted the positive impact of information provided by Business Intelligence Systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. The primary purpose of implementing BIS is to utilize diverse mechanisms to increase the levels of the two Information Quality (IQ) dimensions, namely information access quality and information content quality. While researchers have traditionally focused on assessing IQ criteria, they have largely ignored the mechanisms to boost IQ dimensions. Drawing on extant literature of BIS and IQ, the research sought to understand how, at its present level of development, BIS maturity affects IQ dimensions, as well as the role that business knowledge may exert in mobilizing this link. The authors test the hypotheses across 181 medium and large organizations. Interestingly, the data describe a more complex picture than might have been anticipated.


Author(s):  
Khosro Mohammad Ahmed ◽  
John Campbell

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.


2021 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Huynh Quoc Tuan

The study aimed to identify and measure the factors affecting the intention to buy air ticket online in Vietnam by surveying 331 consumers aged 18 and over who bought air ticket online. The SPSS 20 tool was used to analyze the reliability of the scale through the Cronbach's Alpha coefficient, EFA exploratory factor analysis, and linear regression analysis. Research results show that positive impact factors, decreasing by their strength, include: Perceived Benefit, Reliability, Reputation, Subjective Norm, Perceived Ease of Use. Meanwhile, Perceived Risk has a negative impact on the intention to buy air ticket of consumers. The results also help managers recognize the importance of the factors that affect the buying behavior of the consumers, and consequently make appropriate strategic adjustments and actions in the competitive process for air ticket online presently.


2016 ◽  
pp. 96-118
Author(s):  
Aleš Popovič ◽  
Jurij Jaklič

The IS literature has long highlighted the positive impact of information provided by Business Intelligence Systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. The primary purpose of implementing BIS is to utilize diverse mechanisms to increase the levels of the two Information Quality (IQ) dimensions, namely information access quality and information content quality. While researchers have traditionally focused on assessing IQ criteria, they have largely ignored the mechanisms to boost IQ dimensions. Drawing on extant literature of BIS and IQ, the research sought to understand how, at its present level of development, BIS maturity affects IQ dimensions, as well as the role that business knowledge may exert in mobilizing this link. The authors test the hypotheses across 181 medium and large organizations. Interestingly, the data describe a more complex picture than might have been anticipated.


Author(s):  
Tung-Cheng Lin

Many e-learning studies have evaluated learning attitudes and behaviors based on TAM. However, a successful E-Learning System (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combines TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors are crucial for understanding users’ intentions to continue their use of ELS. The research model was examined with data collected from 164 practicing students with ELS experiences. The results indicated that system quality, platform information, and course information had a significantly positive effect on users’ satisfaction and their intention to use ELS continuously.


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