The impact of credibility trust on user acceptance of software-as-a-service

2011 ◽  
Author(s):  
Yu-Hui Wang
Keyword(s):  
User Acceptance ◽  
Software As A Service ◽  
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.

Impact of software as a service (SaaS) on software acquisition process

2020 ◽  
Vol 35 (4) ◽  
pp. 757-770
Author(s):  
Srinivasa Raghavan R. ◽  
Jayasimha K.R. ◽  
Rajendra V. Nargundkar
Keyword(s):  
Information Search ◽  
Chief Information Officer ◽  
Software As A Service ◽  
Theory Approach ◽  
Exploratory Research ◽  
Enterprise Software ◽  
Content Type ◽  
Acquisition Process ◽  
Acquisition Processes ◽  
The Impact

Purpose Organizations worldwide are adopting software as a service (SaaS) applications, where they pay a subscription fee to gain access rather than buying the software. The extant models on software acquisition processes, several of which are based on organizational buying behavior, do not sufficiently explain how SaaS application acquisition decisions are made. This study aims to investigate the acquisition process organizations follow for SaaS software, the changes to the roles of the Chief Information Officer (CIO) and the business user and also looks at the impact of SaaS on the proliferation of unauthorized software systems. Design/methodology/approach The authors used exploratory research using the grounded theory approach based on 18 in-depth interviews conducted with respondents who have studied with enterprise software delivered on-premise and as SaaS in different roles such as sales, consulting, CIO, information technology (IT) management and product development. Findings The authors identified a need to classify the SaaS software and developed a framework that uses software specificity and its strategic importance to the organization to classify SaaS applications. The aforementioned framework is used to explain how software evaluation processes have changed for different kinds of SaaS applications. The authors also found that the CIO’s and the business users’ have changed substantially in SaaS application evaluations and found evidence to show that shadow IT will be restricted to some classes of SaaS applications. Originality/value By focusing on the changes to the roles and responsibilities of the members of the buying center, this paper provides unique insights into how the acquisition process of SaaS is different from the extant models used to explain enterprise software acquisitions. An understanding of how information search is conducted by the business users will help software vendors to target business users better.

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 Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia

2020 ◽  
Vol 6 ◽  
pp. e294
Author(s):  
Abdulrazzaq Qasem Ali ◽  
Abu Bakar Md Sultan ◽  
Abdul Azim Abd Ghani ◽  
Hazura Zulzalil
Keyword(s):  
Internal Consistency ◽  
Software Engineer ◽  
Internal Consistency Reliability ◽  
Quality Attributes ◽  
Software As A Service ◽  
Reliability Study ◽  
Software Customization ◽  
The Many ◽  
The Impact ◽  
Reliable Software

Despite the benefits of standardization, the customization of Software as a Service (SaaS) application is also essential because of the many unique requirements of customers. This study, therefore, focuses on the development of a valid and reliable software customization model for SaaS quality that consists of (1) generic software customization types and a list of common practices for each customization type in the SaaS multi-tenant context, and (2) key quality attributes of SaaS applications associated with customization. The study was divided into three phases: the conceptualization of the model, analysis of its validity using SaaS academic-derived expertise, and evaluation of its reliability by submitting it to an internal consistency reliability test conducted by software-engineer researchers. The model was initially devised based on six customization approaches, 46 customization practices, and 13 quality attributes in the SaaS multi-tenant context. Subsequently, its content was validated over two rounds of testing after which one approach and 14 practices were removed and 20 practices were reformulated. The internal consistency reliability study was thereafter conducted by 34 software engineer researchers. All constructs of the content-validated model were found to be reliable in this study. The final version of the model consists of 6 constructs and 44 items. These six constructs and their associated items are as follows: (1) Configuration (eight items), (2) Composition (four items), (3) Extension (six items), 4) Integration (eight items), (5) Modification (five items), and (6) SaaS quality (13 items). The results of the study may contribute to enhancing the capability of empirically analyzing the impact of software customization on SaaS quality by benefiting from all resultant constructs and items.

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