Self-Service Business Intelligence Adoption in Business Enterprises

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.

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Self-Service Business Intelligence Adoption in Business Enterprises

Operations and Service Management ◽

10.4018/978-1-5225-3909-4.ch050 ◽

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

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Factors influencing the behavioral intention to use food delivery apps

Social Behavior and Personality An International Journal ◽

10.2224/sbp.6185 ◽

2017 ◽

Vol 45 (9) ◽

pp. 1461-1473 ◽

Cited By ~ 14

Author(s):

Eun-Yong Lee ◽

Soo-Bum Lee ◽

Yu Jung Jennifer Jeon

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Mobile Apps ◽

Food Delivery ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

System Quality ◽

Perceived Ease Of Use ◽

Design Quality

We examined the relationships between the determinants that affect customers' use of food delivery apps. Using an extended technology acceptance model, we explored consumers' experiences in purchasing delivery food through mobile apps. We distributed a self-administered questionnaire online and used structural equation modeling to test the hypotheses. We found that user-generated information, firm-generated information, and system quality had a significant effect on perceived usefulness. In addition, system quality and design quality strongly influenced the perceived ease of use, which improved perceived usefulness, and in turn, perceived usefulness and perceived ease of use affected attitude toward the use of mobile apps. Practical implications for the food service industry are discussed.

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Visual Analytics Adoption in Business Enterprises

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.2019010105 ◽

2019 ◽

Vol 11 (1) ◽

pp. 68-89 ◽

Cited By ~ 2

Author(s):

Mohammad Daradkeh

Keyword(s):

Technology Acceptance ◽

Visual Analytics ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Positive Effects ◽

Intention To Adopt ◽

Business Enterprises

Visual analytics is increasingly being recognized as a source of competitive advantage. Yet, limited research has examined the factors deriving it organizational adoption. By integrating the technology acceptance model (TAM) with the task-technology fit (TTF) model, this research developed a model for visual analytics adoption in business enterprises. To test the research model, data was collected through a questionnaire survey distributed to 400 business professionals working in a variety of industries in Jordan. Collected data were tested and analyzed using structural equation modeling (SEM) technique. Findings of this research confirmed the applicability of the integrated TAM/TTF model to explain the key factors that affect the adoption of visual analytics systems for work-related tasks. Specifically, the results of this research demonstrated that the task, technology, and user characteristics are fundamental and influential antecedents of TTF, which in turn has a significant positive effect on the perceived usefulness and perceived ease of use of visual analytics systems. Additionally, there are significant positive effects from perceived usefulness and perceived ease of use toward users' intention to adopt visual analytics systems, and a firm relationship between perceived ease of use and perceived usefulness of visual analytics systems. Together all these constructs explain 59.9% of the variance in user's intention to adopt visual analytics systems at the workplace. Findings of this research provide several important implications for research and practice, and thus should help in the design and development of more user-accepted visual analytics systems and applications.

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Determinants of Self-Service Analytics Adoption Intention

Journal of Organizational and End User Computing ◽

10.4018/joeuc.2019100102 ◽

2019 ◽

Vol 31 (4) ◽

pp. 19-45 ◽

Cited By ~ 2

Author(s):

Mohammad Daradkeh

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Intention To Adopt ◽

User Empowerment ◽

Task Technology Fit ◽

Self Service

The increasing popularity of self-service analytics (SSA) is empowering business users to analyze data and generate actionable insights autonomously. While there are many benefits to SSA tools, there is a scarcity of research on the factors influencing their adoption in business organizations. This article presents an extended technology acceptance model (TAM) that incorporates the task-technology fit (TTF), compatibility, and user empowerment as critical antecedents of users' intention to adopt SSA tools for reporting and analytics tasks. To test the proposed model, data were collected through a questionnaire survey of 211 business users working in different industries in Jordan. The collected data were analysed using structural equation modeling (SEM). The results of this study demonstrate that the task-technology fit, compatibility, and user empowerment are significant predictors of users' perceptions of usefulness and ease of use of SSA tools. Both of perceived usefulness and perceived ease of use have a positive effect on users' intention to adopt SSA tools. Collectively, all these factors account for 51.6 percent of the variance in the behavioral intention. The findings of this study provide several key implications for research and practice, and thus should contribute to the design and adoption of more user-accepted SSA tools and applications.

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Role of Situational Dependence in the Use of Self-Service Technology

Sustainability ◽

10.3390/su12114653 ◽

2020 ◽

Vol 12 (11) ◽

pp. 4653 ◽

Cited By ~ 1

Author(s):

Cheolho Yoon ◽

Byongcheon Choi

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Use Of Self ◽

Perceived Ease Of Use ◽

Self Service ◽

Self Service Technology

Although numerous studies have been conducted on the use of self-service technology (SST), little is known about the importance of the situation for individuals’ acceptance of SSTs. This study proposed the situational dependency construct and analyzed the role of the construct in the use of SSTs. To conduct an empirical analysis, a research model combining the situational dependency variable with the perceived usefulness and perceived ease of use of the technology acceptance model variables, which are the most frequently used in studies related to SSTs, was developed. A total of 213 valid data were collected through questionnaires and analyzed using confirmatory factor analysis and path analysis through structural equation modeling. The results showed that situational dependence influenced attitude toward using along with perceived ease of use and perceived usefulness and that situational dependence had a strong influence on intention to use. This study provides strategic insight for practitioners to lead acceptance of SSTs.

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An integration of TAM with usage barriers and ability to understand consumers intention to use SSTs

ECTI Transactions on Computer and Information Technology (ECTI-CIT) ◽

10.37936/ecti-cit.2019132.201930 ◽

2020 ◽

Vol 13 (2) ◽

pp. 137-150

Author(s):

Sompoch Tongnamtiang ◽

Adisorn Leelasantitham

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Relative Advantage ◽

Equation Modeling ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Self Service ◽

Self Service Technology

This study examined the factors that influence consumers’ acceptance and use of self-service technology by integrating a ground theory model such as the technology acceptance model and the theory of innovation adoption. The variables that affect consumers’ attitudes and intentions were investigated; this included perceived usefulness, perceived ease of use, relative advantage, complexity and knowledge. Further, the variables from the resistance theory, which consist of usage barriers and ability, were investigated. Interviews and surveys were conducted with two business operators that provide TVM services; eight hundred online and offline consumers who experienced the TVMs were selected as a sample. The research model of this study was developed, and the correlations between the variables analyzed, using structural equation modeling. Our results confirm that the factors such as relative advantage, knowledge, perceived usefulness and perceived ease of use positively affected the attitude and intention toward using the TVM; factors such as usage barriers and complexity negatively impacted the intention to use the top-up machine. These results can be used as baseline data for developing or designing self-service technology. Entrepreneurs should consider these factors to make technology continue to be recognized and persisted in the use of technology.

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Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

International Journal of Information Systems in the Service Sector ◽

10.4018/ijisss.287581 ◽

2022 ◽

Vol 14 (1) ◽

pp. 0-0

Keyword(s):

Technology Acceptance ◽

Context Awareness ◽

Structural Equation ◽

Moderating Effect ◽

Ease Of Use ◽

Perceived Usefulness ◽

Policy Implications ◽

Equation Modeling ◽

Future Research ◽

The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

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What influence users’ e-finance continuance intention? The moderating role of trust

Industrial Management & Data Systems ◽

10.1108/imds-12-2017-0602 ◽

2018 ◽

Vol 118 (8) ◽

pp. 1647-1670 ◽

Cited By ~ 14

Author(s):

Wangyue Zhou ◽

Zayyad Tsiga ◽

Boying Li ◽

Shuning Zheng ◽

Shuli Jiang

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Continuance Intention ◽

Website Quality ◽

Content Type ◽

Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

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Analisis Penggunaan E-Commerce Terhadap Peningkatan Permintaan Kuantitas Produk Pada UMKM di Kabupaten Banyumas (Suatu Pendekatan Teori Technology Acceptance Model)

JURNAL ILMU MANAJEMEN DAN BISNIS ◽

10.17509/jimb.v10i1.15371 ◽

2019 ◽

Vol 10 (1) ◽

pp. 63-74

Author(s):

Dona Primasari ◽

Sudjono Sudjono ◽

Nining Abriani

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Sampling Technique ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Acceptance Model ◽

Use Behavior

Abstract. The long-term objective of this research is to enrich the development of science, especially the development of SMEs related to the adoption of information technology with studies using the Technology Acceptance Model. The specific aim of the research is to examine what factors are inhibiting the adoption of e commerce technology in SMEs in Banyumas Regency, as well as examining whether e-commerce adoption has an impact on increasing the demand for product quantities in SMEs. Collecting data in this study was carried out by distributing questionnaires through direct interviews with SMEs in Banyumas District who were respondents. The sampling technique in this study using random sampling technique. Whereas for data analysis using Statistical Product and Service Solution (SPSS) version 22.0 and Structural Equation Modeling (SEM) with AMOS program. The results of the study show that the Technology Acceptance Model theory is able to explain the institutions of SMEs actors to use e-commerce technology. Keywords: E-commerce, perceived usefulness, perceived ease of use, use behavior,TAM (Technology Acceptance Model) Abstrak. Tujuan jangka panjang penelitian ini adalah untuk memperkaya perkembangan ilmu, khususnya pengembangan UMKM terkait dengan adopsi teknologi informasi dengan kajian menggunakan Technology Acceptance Model. Tujuan khusus penelitian adalah untuk menelaah faktor-faktor apakah yang menghambat adopsi teknologi e commerce pada UMKM di Kabupaten Banyumas, serta menelaah apakah adopsi e- commerce berdampak pada peningkatan permintaaan kuantitas produk pada UKM. Pengumpulan data dalam penelitian ini dilakukan dengan menyebarkan kuesioner melalui antar langsung kepada pelaku UMKM di Kabupaten Banyumas yang menjadi responden. Teknik pengambilan sampel dalam penelitian ini dengan menggunakan teknik random sampling. Sedangkan untuk analisis data mengunakan Statistical Product and Service Solution (SPSS) versi 22.0 dan Structural Equation Modeling (SEM) dengan program AMOS. Hasil penelitian menunjukkan bahwa teori Technology Acceptance Model mampu menjelaskan instensi para pelaku UMKM untuk menggunakan teknologi e-commerce. Hasil penelitian juga berhasil menerima 3 (tiga) hipotesis yaitu Perceived usefulnes berpengaruh terhadap use behavior, Perceived ease of use berpengaruh terhadap use behavior, use behavior berpengaruh terhadap peningkatan permintaan kuantitas produk. Hasil penelitian juga menunjukkan implementasi e-commerce tidak berpengaruh terhadap persepsi manfaat (perceived usefulness), Implementasi e-commerce tidak berpengaruh terhadap persepsi kemudahan pengoperasian sistem (perceived ease of use) atau dengan kata lain menolak 2 (dua) hipotesis lainnya.Keywords. E-commerce, perceived usefulnes, perceived ease of use, use behavior,peningkatan permintaan, TAM (Technology Acceptance Model)

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What Makes Consumers’ Intention to Purchase Paid Stickers in Personal Messenger? The Role of Personality and Motivational Factors

Frontiers in Psychology ◽

10.3389/fpsyg.2021.678803 ◽

2022 ◽

Vol 12 ◽

Author(s):

Hyunmin Kang ◽

YounJung Park ◽

Yonghwan Shin ◽

Hobin Choi ◽

Sungtae Kim

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Personalized Recommendation ◽

Equation Modeling ◽

Big Five Personality ◽

Online Questionnaire ◽

Motivation Factors ◽

Intention To Purchase

Many messengers and social networking services (SNSs) use emojis and stickers as a means of communication. Stickers express individual emotions well, allowing long texts to be replaced with small pictures. As the use of stickers increased, stickers were commercialized on a few platforms and showed remarkable growth as people bought and used stickers with their favorite characters, products, or entertainers online. Depending on their personality, individuals have different motivations for using stickers that determine the usefulness and enjoyment of stickers, affecting their purchase decisions. In the present study, participants (n = 302) who were randomly recruited from a university completed an online questionnaire assessing the Big Five personality characteristics, motivations for using stickers, and the technology acceptance model (TAM). Results using partial least squares structural equation modeling (PLS-SEM) revealed that each personality trait affected different motivations for using stickers. Moreover, motivations for using stickers also influenced different technology acceptance variables. Finally, perceived usefulness, enjoyment, and ease of use had a positive effect on the intention to purchase stickers. This study has implications in that it is an exploratory approach to the intention to purchase stickers, which has been investigated by few prior studies, and it sheds light on the relationship between personality, motivation, and TAM in purchasing stickers. It also suggests that personality and motivation factors can be considered in personalized recommendation services.

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