Self-Service Business Intelligence Adoption in Business Enterprises

2018 ◽  
pp. 1096-1118
Author(s):  
Mohammad Daradkeh ◽  
Radwan Moh'd Al-Dwairi
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Perceived Usefulness ◽  
System Quality ◽  
Quality Factors ◽  
Service Business ◽  
Business Enterprises ◽  
Self Service ◽  
Acceptance Model ◽  
Analysis Quality

Despite the growing popularity of self-service business intelligence (SSBI) tools, empirical research that investigates their acceptance by business professionals is still scarce. This paper presents and tests an integrated model of the antecedents of users' acceptance of SSBI tools in business enterprises. The proposed model is developed based on the technology acceptance model (TAM) and incorporating information and system quality from DeLone and McLean IS success model. It also includes an important factor from the business intelligence literature called analysis quality. To test the model, data were collected through a questionnaire survey from 331 business users working in a variety of industries in Jordan. Data were analysed using structural equation modeling (SEM) techniques. The results demonstrated that the three quality factors– information quality, system quality and analysis quality – are key antecedents of perceived usefulness and ease of use, which in turn were found to be strong predictors of users' intention to use SSBI tools. The findings of this study provide several implications for research and practice, and thus should help in the design and deployment of more user-accepted SSBI tools.

Self-Service Business Intelligence Adoption in Business Enterprises

2017 ◽  
Vol 13 (3) ◽  
pp. 65-85 ◽  
Author(s):  
Mohammad Daradkeh ◽  
Radwan Moh'd Al-Dwairi
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Service Business ◽  
Business Enterprises ◽  
Self Service ◽  
Analysis Quality

Despite the growing popularity of self-service business intelligence (SSBI) tools, empirical research that investigates their acceptance by business professionals is still scarce. This paper presents and tests an integrated model of the antecedents of users' acceptance of SSBI tools in business enterprises. The proposed model is developed based on the technology acceptance model (TAM) and incorporating information and system quality from DeLone and McLean IS success model. It also includes an important factor from the business intelligence literature called analysis quality. To test the model, data were collected through a questionnaire survey from 331 business users working in a variety of industries in Jordan. Data were analysed using structural equation modeling (SEM) techniques. The results demonstrated that the three quality factors– information quality, system quality and analysis quality – are key antecedents of perceived usefulness and ease of use, which in turn were found to be strong predictors of users' intention to use SSBI tools. The findings of this study provide several implications for research and practice, and thus should help in the design and deployment of more user-accepted SSBI tools.

TAM Application to Chinese Telecom Operators Involved in the E-Government

2014 ◽  
Vol 543-547 ◽  
pp. 4278-4283
Author(s):  
Jian Tong Cao ◽  
Xiao You ◽  
Zhan Hong Xin ◽  
Dan Liu ◽  
Bing Hua Wang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Guizhou Province ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Telecom Operator ◽  
Acceptance Model

The study targets on Guizhou telecom operator who provide E-government services in China. This study applies an expanded technology acceptance model (TAM) to explain the telecom operator acceptance by government. Five variables of TAM through telecom operators are considered including system quality, perceived usefulness, and perceived ease of use, trust and intention to use. To demonstrate the applicability of the proposed framework, a case study of evaluating the acceptance of telecom operators by government in Guizhou province of China is conducted. The results show that the proposed framework is effective in assessing the acceptance of telecom operators involved in E-government and the expanding new factor, trust is of vital importance in this model.

scholarly journals An Evaluation Of RFID Door Security System At Taipei Arena Ice Land Based On Technology Acceptance Model

2013 ◽  
Vol 17 (2) ◽  
pp. 117 ◽  
Author(s):  
Kuei-Mei Cheng
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Positive Impact ◽  
Security System ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Acceptance Model

This study is based on technology acceptance model (TAM). It investigates consumer attitudes toward the use of and consumer behavioral intention to use an RFID door security system at Taipei Arena Ice Land. This study adopts a questionnaire method using purposive sampling and collects data from 250 consumers of Taipei Arena Ice Land. The results of this study show that: 1) system quality has a significant positive impact on perceived usefulness and perceived ease of use, 2) information quality has a significant positive impact on perceived usefulness and perceived ease of use, 3) service quality does not have a significant positive impact on perceived usefulness and perceived ease of use, 4) perceived ease of use has a significant positive impact on perceived usefulness, 5) perceived usefulness and perceived ease of use have a significant positive impact on attitudes toward use, 6) attitudes toward using have a significant positive impact on behavioral intentions to use, 7) perceived usefulness has a significant positive impact on behavioral intentions to use, and 8) perceived ease of use has a significant impact on attitude toward using via perceived usefulness.

Improving the Perception of Technology-Supported Learning Situations

2014 ◽  
pp. 89-108
Author(s):  
Metwaly S. K. Mabed ◽  
Thomas Köhler
Keyword(s):  
Technology Acceptance ◽  
Significant Influence ◽  
Strong Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Proposed Model ◽  
Potential Factors ◽  
Acceptance Model

The majority of educational institutes have adopted some kind of technology, especially a Learning Management System (LMS), to facilitate the ways of learning in classrooms. Indeed, the investment in technology with the expectation of fostering learning relies on students’ response toward such technology. Therefore, it is essential not only to predict students’ behavior toward a LMS but also to grasp how students make a decision to use a particular system. This chapter explores the potential factors that have the most significant influence on the adoption of LMSs in Egypt as well as the relationships between these factors. The proposed model extends the Technology Acceptance Model (TAM) to include self-efficacy and system quality, with the expectation that they significantly shape the use of LMS. The data shows that most of the causal relationships between technology acceptance factors are well supported. The results also indicate that the system quality has a direct effect on perceived ease of use and perceived usefulness. One interesting observation is the strong influence of perceived ease of use on LMS usage, much stronger than the influence of perceived usefulness on the use of LMS.

scholarly journals Utilization of Business Intelligence Tools among Business Intelligence Users

2021 ◽  
Vol 9 (6) ◽  
pp. 237-253
Author(s):  
Emad Ahmed
Keyword(s):  
Prediction Model ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Business Intelligence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Independent Variables ◽  
Acceptance Model ◽  
The Impact

The study was an investigation of the impact of perceived usefulness and perceived ease of use of business intelligence (BI) tools among users. The relationship between and among the dependent variable (utilization of BI tools) and the independent variables (perceived usefulness and perceived ease of use) was investigated through the lenses of technology acceptance model (TAM). Other objectives for the current research were to build a model to predict users’ utilization of the independent variables, and to generalize the results of the research to the IT population. Data for the current research was collected utilizing a survey questionnaire, designed by the researcher, with a 5-point Likert scale to interpret responses to the survey questions. The analysis consisted of descriptive statistics and multiple regressions models. A prediction model was structured using generalized linear models. The result of the study was the development of a prediction model for BI tools utilization through the lenses of a technology acceptance model (TAM). The model highlighted the importance of up-to-date information provided by current BI tools, ability of BI tools to provide users with more analytical tools to accomplish their jobs, the degree to which BI tools allow users to present convincing arguments, the ability of BI tools to provide users with more possible solutions, the ability of BI tools to reduce the time required to accomplish jobs, and the ability of BI tools to help users make relevant business predictions.

ASSESSING CONSUMERS ADOPTION OF SELF SERVICE BANKING IN INDIA: GENDER DIFFERENCES

2017 ◽  
Vol 4 (36) ◽  
Author(s):  
Purva Kansal ◽  
Sandeep Walia
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Tier 2 ◽  
Sampling Frame ◽  
Banking Services ◽  
Adoption Of Technology ◽  
Self Service ◽  
Acceptance Model

Rate of adoption of technology based banking services has not been as per expectations of the marketers. Research indicates that individual differences like demographics, gender, age could offer plausible insights into slow rate of adoption of technology based banking services in India. It is within this background that the current study was undertaken to study the effect of gender on TAM (technology acceptance model). To test the proposed hypotheses, a survey was done and data were collected from 314 respondents. The sampling frame was defined as 26 Tier 2 cities of India. The results indicated that there were significant differences across gender in terms of technology discomfort which influenced the perceived usefulness and behavioral intention in terms of attitude to use self service banking decreased. Therefore, marketers need to address the aspect of technology discomfort especially in respect to females

Analisis Technology Acceptance Model Penggunaan E-Learning pada Mahasiswa

2019 ◽  
Vol 9 (2) ◽  
pp. 70-78
Author(s):  
Steventri Sontrust Lee ◽  
Wella Wella
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Actual Use ◽  
E Learning ◽  
Acceptance Model

Penelitian ini bertujuan untuk mengetahui faktor yang memengaruhi penggunaan elearning.umn.ac.id pada mahasiswa melalui kerangka Technology Acceptance Model (TAM). Terdapat lima konstruk asli dari TAM yang digunakan dalam penelitian ini, antara lain persepsi kegunaan (PU), persepsi kemudahan penggunaan (PEOU), sikap terhadap penggunaan (ATU), minat perilaku (BI), dan penggunaan senyatanya (AU). Terdapat pula tiga konstruk eksternal yang digunakan dalam penelitian ini, antara lain keyakinan individu (SE), aksesibilitas sistem (SA), dan kualitas sistem (SQ). Hasil yang didapatkan pada penelitian ini menemukan tingkat penerimaan dan penggunaan e-learning UMN pada mahasiswa dengan menggunakan faktor internal (perceived usefulness, perceived ease of use, attitude toward using, behavioral intention, actual use) dan faktor eksternal (self-efficacy, system accessibility, system quality) TAM sudah tinggi. Perceived ease of use tidak memiliki hubungan apapun terhadap faktor-faktor yang lain, sehingga apabila faktor perceived ease of use ditingkatkan maka tidak akan terjadi pengaruh apapun terhadap actual use, meskipun didukung dengan faktor system accessibility. Adapun pengaruh positif signifikan yang dimiliki semua pasangan variabel memiliki sifat pengurangan nilai, sehingga jika sebuah faktor independen memiliki peningkatan skor sebanyak n, maka faktor dependen yang memiliki hubungan terhadap variabel independen tersebut ikut mengalami peningkatan skor namun mengalami penurunan nilai dengan besar n sejumlah dengan nilai koefisien total pengaruh yang dimilikinya.

scholarly journals Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications

2020 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Maria Grazia Violante ◽  
Federica Marcolin ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. This paper identifies the most commonly used external variables in e-learning, agriculture and virtual reality applications for further validation in an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, the analysis based on Quality Function Deployment (QFD) shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

scholarly journals Assessing Open Source Software Success in Learning Management Systems Context in Jordan: Applied Of an Integration of Technology Acceptance Model and Information Systems Success

2020 ◽  
Vol 8 (`10) ◽  
pp. 90-109
Author(s):  
Hasan Alhanatleh
Keyword(s):  
Information Systems ◽  
Technology Acceptance ◽  
Open Source ◽  
Technology Acceptance Model ◽  
Open Source Software ◽  
Perceived Usefulness ◽  
System Quality ◽  
Information Systems Success ◽  
Integration Of Technology ◽  
Acceptance Model

The main purpose of this study is to depend on an integration of Technology Acceptance Model (TAM) and Information Systems Success (ISS) model that was altered to define the success variables of Open Source Software (OOS) based on Open-EMIS system that attaches to Education Ministry of Jordan by employees. The methodology of current study was built on quantitative approach with two waves of data collection (Pre and post- test). For test hypotheses purposes, the Structural Equation Model (SEM) was applied. Moreover, the added value of this research is to meet the poverty in literature engaged with OOS. It is also contributed at exploring how the Education Ministry of Jordan can reap benefits from Open-EMIS usage. The study disclosed perceived ease of use, perceived usefulness, service quality, system quality, information quality, user satisfaction and intention to use as important variables for influencing Open-EMIS usage; as important finding, the relationships between the variables in pre and post-phases do not differ significantly. Finally, the future work in OOS area is recommended to be conducted.

scholarly journals Predicting Users' Intention towards Using Library Self-Issue and Return Systems

2017 ◽  
pp. 102-115 ◽  
Author(s):  
Siti Nadhirah Mohmed Razip ◽  
Siti Fatnin Abdul Kadir ◽  
Siti Nur Aishah Saim ◽  
Farah Nadia Mohd Dolhan ◽  
Nurshamimi Jarmil ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Undergraduate Students ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Future Research ◽  
Intention To Use ◽  
Guiding Principle ◽  
New Findings ◽  
Self Service ◽  
Acceptance Model

This study aims to examine users' acceptance of library self-issue and return system by integrating Theory of Planned Behaviour (TPB)/Technology Acceptance Model (TAM) as the guiding principle. The research used a multiple regression for data analysis across a sample of 238 students. Their participation was purely voluntary. Empirical analysis confirmed that student's intention to use the library self-service by behavioural intentions and perceived usefulness. However, the subjective norm was found to be not significantly related to library self-issues and return system. This empirical results may benefit to the students and the librarians involved in self-issue and return system in library. The librarian could avoid a long queue of students in the library. For the students, they will be able to save time on borrowing or retuning the materials. This research offers a new findings compare to the previous study, where this research focus on undergraduate students in Malaysia. Next, the proposed framework could be used as a foundation for future research investigating students who had not applied the library self-service respond.

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