The Impact of Purpose On Rating Quality and User Acceptance

1991 ◽  
Vol 16 (4) ◽  
pp. 367-386 ◽  
Author(s):  
Jng-Lih Farh ◽  
Albert A. Cannella ◽  
Arthur G. Bedeian
Keyword(s):  
User Acceptance ◽  
The Impact

ISSUES AND CHALLENGES IN BUSINESS INTELLIGENCE CASE STUDIES

2016 ◽  
Vol 78 (8-2) ◽  
Author(s):  
Azizah Abdul Rahman ◽  
Nooradilla Abu Hasan ◽  
Norminshah A. Lahad
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Case Studies ◽  
Business Intelligence ◽  
Qualitative Method ◽  
User Acceptance ◽  
Three Dimensions ◽  
Implementation Project ◽  
Organization Process ◽  
The Impact

Business Intelligence (BI) has embarked on decision-making setting. This has influenced many organizations from different industries that are located in diverse regions to implement BI. Critical Successful Factors (CSF) becomes the guideline for the implementer to adopt BI successfully. However, lack of BI knowledge and weak consideration of BI CSF led to the failure of BI implementation project. Several issues and challenges have been identified during the BI implementation. In addition, other researchers rarely discussed this subject. Thus, the objective of this paper is to recognize the issues and challenges on BI implementation. Through qualitative method, BI practices systematically described the purpose of BI execution on selected organizations, industries and regions. It has given the path towards the issues and challenges of BI implementation. The identified issues and challenges are defining the business goal, data management, limited funding, training and user acceptance as well as the lack of expertise issues. The findings categorized the issues and challenges into three dimensions of CSF for BI implementation, which are Organization, Process and Technology dimension. Limitation in this study requires future researchers to study in details of these issues and challenges including the solutions and the impact of BI implementation.

scholarly journals User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

2020 ◽  
Vol 12 (12) ◽  
pp. 209
Author(s):  
Jie Zhao ◽  
Can Yan
Keyword(s):  
Hybrid Method ◽  
Structural Equation ◽  
Negative Impact ◽  
Positive Impact ◽  
Qualitative Comparative Analysis ◽  
User Acceptance ◽  
Considerable Effect ◽  
Sem Analysis ◽  
Mobile Internet ◽  
The Impact

It is of great significance for enterprises’ development to effectively use mobile Internet to carry out information feed advertising. This paper aims to study the influence factors and effect of the users’ acceptance intention of information feed advertising through empirical analysis to provide references for further optimizing information feed advertising strategy. Traditional quantitative analysis methods, such as the Structural Equation Model (SEM), can only measure a single factor’s influence from an individual perspective. Therefore, we introduce the Qualitative Comparative Analysis (QCA) and present a two-stage hybrid method based on SEM and QCA. In the first stage, we analyze the influence of a single variable on the acceptance intention of information feed advertising by SEM. Then, in the second stage, we analyze the impact of different variable combinations by QCA. Based on the actual questionnaire data, we define six independent variables and use AMOS, SPSS, and fsQCA to carry out SEM analysis and the fuzzy-set-based QCA analysis, respectively. The SEM analysis results show that the four factors (including consistency, informativeness, sociability, and advertising reward) have a significant positive impact on user acceptance of information feed advertising. On the contrary, perceived advertising clustering has a significant negative impact. In addition, accuracy has no considerable effect. The QCA analysis reveals that seven constructs of six variables can all significantly enhance information feed ads’ acceptance intention.

A Factorial Survey Study on the Influence of Advertising Place and the Use of Personal Data on User Acceptance of Facebook Ads

2017 ◽  
Vol 61 (7) ◽  
pp. 653-671 ◽  
Author(s):  
Evert Van den Broeck ◽  
Karolien Poels ◽  
Michel Walrave
Keyword(s):  
Social Networking ◽  
Indirect Effect ◽  
Social Networking Sites ◽  
Personal Data ◽  
User Acceptance ◽  
User Generated Content ◽  
Survey Study ◽  
Factorial Survey ◽  
The Impact

Advertisements on social networking sites are typically unrequested messages placed in between the user-generated content. What makes users accept these ads (or not)? A factorial survey was conducted to uncover the impact of different factors related to the use of personal data (e.g., sensitivity of personal data) and advertising place (e.g., ad location) of Facebook ads on user acceptance (i.e., fairness and appropriateness) of the advertisement. Placement of the advertisement was the only factor to significantly affect user acceptance. Moreover, the effect of ad placement largely depended on the degree of involvement with the advertised product. Among low-involved subjects, sidebar ad placement was better accepted. Moreover, the influence of ad placement on user acceptance was fully mediated by perceived intrusiveness of the ad. This indirect effect was not significant in the high-involved subgroup, where message stream placement was better accepted. Implications for targeting advertising on Facebook are discussed.

scholarly journals Analysis of E-Learning Acceptance During Distance Learning Using Unified Theory Of Acceptance and Use of Technology (UTAUT)

2021 ◽  
Vol 8 (2) ◽  
pp. 465-479
Author(s):  
Rifqi Ramadhan Tussardi ◽  
Berlian Maulidya Izzati ◽  
Muhardi Saputra
Keyword(s):  
Online Teaching ◽  
Teaching And Learning ◽  
User Acceptance ◽  
Unified Theory ◽  
Utaut Model ◽  
Organizational Infrastructure ◽  
Learning Platform ◽  
Use Of Technology ◽  
E Learning ◽  
The Impact

The new coronavirus disease that was first identified in Wuhan, China, is referred to as the 2019 coronavirus disease pandemic (COVID-19). The impact of this pandemic has affected various fields, one of which is education, and one of the consequences is the implementation of online teaching and learning processes. In this digital era, Telkom University is implementing CeLOE LMS as an E-Learning medium. CeLOE Learning Management System (LMS) is an online learning platform for regular and distance education study programs at Telkom University. For the application of CeLOE LMS, there has been no report that contains user acceptance of the use of CeLOE LMS that tested with an integrated model. Therefore, the solution offered by this research was to conduct an analysis to determine user acceptance of the application of the CeLOE LMS system by using the Unified Theory of Acceptance and Use of Technology (UTAUT) Model at Telkom University to produce report that can be used as a basis for further decision making by Telkom University in managing its services as the UTAUT Model attempts to clarify the intentions of students to use an information system and the usage actions of students. From this research, it was found that the CeLOE LMS has been accepted and used by Telkom University students with all hypotheses accepted, Performance Expectancy as the variable with the greatest influence, and it needs improvements related to technical infrastructure, organizational infrastructure, and socialization of CeLOE LMS due to the influence of Facilitating Conditions variable was the lowest.

scholarly journals Implementation and user acceptance of research information systems

2019 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Joachim Schöpfel ◽  
Otmane Azeroual ◽  
Gunter Saake
Keyword(s):  
Information Systems ◽  
Data Quality ◽  
Technology Acceptance ◽  
User Acceptance ◽  
Small Sample ◽  
Perceived Usefulness ◽  
Academic Institutions ◽  
Research Information ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to present empirical evidence on the implementation, acceptance and quality-related aspects of research information systems (RIS) in academic institutions. Design/methodology/approach The study is based on a 2018 survey with 160 German universities and research institutions. Findings The paper presents recent figures about the implementation of RIS in German academic institutions, including results on the satisfaction, perceived usefulness and ease of use. It contains also information about the perceived data quality and the preferred quality management. RIS acceptance can be achieved only if the highest possible quality of the data is to be ensured. For this reason, the impact of data quality on the technology acceptance model (TAM) is examined, and the relation between the level of data quality and user acceptance of the associated institutional RIS is addressed. Research limitations/implications The data provide empirical elements for a better understanding of the role of the data quality for the acceptance of RIS, in the framework of a TAM. The study puts the focus on commercial and open-source solutions while in-house developments have been excluded. Also, mainly because of the small sample size, the data analysis was limited to descriptive statistics. Practical implications The results are helpful for the management of RIS projects, to increase acceptance and satisfaction with the system, and for the further development of RIS functionalities. Originality/value The number of empirical studies on the implementation and acceptance of RIS is low, and very few address in this context the question of data quality. The study tries to fill the gap.

Sign in / Sign up

Export Citation Format

Share Document