scholarly journals A model of acceptance factors for business intelligence in manufacturing using theoretical models

2019 ◽  
Vol 14 (3) ◽  
pp. 1544
Author(s):  
Ernie Mazuin Mohd Yusof ◽  
Mohd Shahizan Othman ◽  
Lizawati Mi Yusuf ◽  
Shamini Raja Kumaran ◽  
Ahmad Rizal Mohd Yusof
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Manufacturing Sector ◽  
Theoretical Models ◽  
Manufacturing Companies ◽  
Qualitative Survey ◽  
Manufacturing Organizations ◽  
Acceptance Model ◽  
Acceptance Factors

<span>Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing sector. Therefore, the research proposes a model which indicates the acceptance factors of BI in manufacturing. An integrated model consisting of underlying models of Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT) and Task-Technology Fit (TTF) will be developed. The new model will formulate 19 hypotheses and 11 factors contributing to the continuance and acceptance of BI. The model will be tested using quantitative and qualitative survey conducted to Malaysian manufacturing companies and validated using Structural Equation Modelling (SEM) to investigate the causal and mediating relationships between the factors. The expected result is hoping to suggest that selected factors in the model are positively related towards the acceptance of BI in manufacturing. The results are also hoping to guide future initiatives by industrial practitioners to develop and distribute BI to the manufacturing market.</span>

scholarly journals How Citizens Accept E-Government Service: A Comparison of Four Theoretical Models

2007 ◽  
Vol 21 (2) ◽  
pp. 143-156
Author(s):  
J. Hun Park
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Customer Service ◽  
Structural Equation ◽  
Process Model ◽  
New Technology ◽  
Theoretical Models ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Acceptance Model

E-government offers unprecedented opportunities for innovating and transforming the way public service is delivered. To ensure successful e-government, it is necessary to understand how citizens accept new technology and receive services from e-government. In the context of e-government acceptance, this paper introduces and tests three well-known theoretical models-SERVQUAL, the American Customer Service Index, and the technology acceptance model-adapted from the service quality and technology acceptance literature. In addition, a new process model of e-government acceptance is synthesized and proposed. Using structural equation modeling methods, empirical fittests are carried out to evaluate the potential and explanation power of four theoretical e-government acceptance models. The results show that each model has a high potential for explaining e-government acceptance processes by citizen. Fitted theoretical models imply that the key ingrediencts for successful e-government are service quality, ease of use, and usefulness, which strongly suggests that for successful e-government, citizen focused e-government is crucial. E-government is a moving target, and the results hint at strategic directions for e-government development.

User Acceptance of Business Intelligence Systems in Taiwan's Electronics Industry

2014 ◽  
Vol 42 (4) ◽  
pp. 583-596 ◽  
Author(s):  
Chung-Kuang Hou
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Structural Equation ◽  
Explanatory Power ◽  
Electronics Industry ◽  
User Acceptance ◽  
Equation Modeling ◽  
Business Intelligence Systems ◽  
Competing Models ◽  
Acceptance Model

There appears to be a trend toward companies investing in business intelligence (BI) systems to improve analytical capabilities to support decision making. In this study I investigated the determinants of user acceptance of BI systems. I compared 3 competing models, that is, the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and the decomposed TPB (DTPB), to determine which best explains users' intentions to adopt BI systems. Data collected from 330 Taiwanese electronics industry firms were tested using structural equation modeling. The findings indicate that the DTPB model was the most parsimonious and had greater explanatory power than the TAM and TPB models.

scholarly journals Exploring Pre-service Teachers’ Use of Technology: The Technology Acceptance Model and Expectancy-Value Theory

2020 ◽  
Author(s):  
John Ranellucci ◽  
Joshua Rosenberg ◽  
Eric Poitras
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Empirical Support ◽  
Theoretical Models ◽  
Value Theory ◽  
Equation Modeling ◽  
Expectancy Value Theory ◽  
Expectancy Value ◽  
Acceptance Model

Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers’ self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions of the technology acceptance model (TAM) among pre‐service teachers. The second objective was to empirically test an alternative set of antecedents of behavioural intentions to use technology based on the expectancy‐value theory (EVT). Four theoretical models were tested using structural equation modeling with a sample of pre-service teachers (N = 249). Results provide support for the TAM and the extended TAM models, however, no support was found for the combined EVT and TAM models. We discuss the implications to promote teacher integration of technology in the classroom by creating facilitating conditions.

Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

2019 ◽  
Vol 118 (6) ◽  
pp. 25-35
Author(s):  
Vinay S
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Banking Sector ◽  
Primary Data ◽  
Equation Modeling ◽  
Security Issues ◽  
Acceptance Model ◽  
Structured Questionnaire

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

Industry 4.0: The Importance Factors of Innovation in Adopting Cloud Computing Among SMES in Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 84-84
Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Equation Model ◽  
Computing Industry ◽  
Global Economic Growth ◽  
Acceptance Model ◽  
Third Industrial Revolution

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological

scholarly journals Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

2021 ◽  
Author(s):  
Svenja Mohr ◽  
Rainer Kühl
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Behavioral Control ◽  
Labor Costs ◽  
Online Questionnaire ◽  
Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

Assessment of A Mobile Educational Coaching App

2018 ◽  
Vol 14 (1) ◽  
pp. 22-43
Author(s):  
Niousha Shahidi ◽  
Vesselina Tossan ◽  
Silvia Cacho-Elizondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Causal Structure ◽  
Convenience Sample ◽  
Equation Modelling ◽  
Educational Coaching ◽  
Acceptance Model ◽  
Type Of School

This article explores which antecedents explain intentions to adopt a mobile coaching app. To that end, this study describes a coaching service designed to guide/encourage students throughout their studies in order to validate a new model of planned behavior based on the Technology Acceptance Model and the Goal-Directed Behavioral theory. The methodology included a short qualitative study and an online survey to examine the theoretical model which is based on scales tested in previous studies. The convenience sample is composed of students (Bachelor and Master/MBA) with the results analyzed using structural equation modelling to test the proposed model's causal structure. The results show different adoption patterns by gender and type of school.

scholarly journals Cross-Cultural Effects in Adoption Patterns of a Mobile Coaching Service for studies

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Mobile Apps ◽  
Causal Structure ◽  
Perceived Usefulness ◽  
Developed Country ◽  
Cultural Effects ◽  
Adoption Model ◽  
Pioneer Effort ◽  
Acceptance Model

This study applied an adoption model, inspired by the Technology Acceptance Model (TAM) and Multipurpose Information Appliances Adoption Model (MIAAM), to compare key variables explaining adoption patterns of a mobile coaching app that guides and encourages students via a technology-based platform. This article constitutes a pioneer effort to compare adoption behaviors across a developed country and an emerging country (France and Mexico) with differences in level of use of mobile apps. A multi-group structural equation modelling approach was used to test the causal structure of the conceptual model. Results confirmed significant differences and similarities across samples and identified critical factors. Perceived usefulness was found to be the most important driver with mediating effects. Organizations implementing coaching services with an improved perceived usefulness could boost their adoption rates.

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