scholarly journals Determining Business Intelligence Usage Success

2020 ◽  
Vol 12 (6) ◽  
pp. 45-67
Author(s):  
Javier N. Montero ◽  
Mary L. Lind
Keyword(s):  
Business Intelligence ◽  
Information Quality ◽  
Information Use ◽  
Full Potential ◽  
Senior Executives ◽  
System Quality ◽  
Moderating Effects ◽  
Quality Factors ◽  
Is Success ◽  
Business Intelligence Systems

Business intelligence systems are highly complex systems that senior executives use to process vast amounts of information when making decisions. Business intelligence systems are rarely used to their full potential due to a poor understanding of the factors that contribute to system success. Organizations using business intelligence systems frequently find that it is not easy to evaluate the effectiveness of these systems, and researchers have noted that there is limited scholarly and practical understanding of how quality factors affect information use within these systems. This quantitative post positivist research used the information system (IS) success model to analyze how information quality and system quality influence information use in business intelligence systems. This study was also designed to investigate the moderating effects of maturity constructs (i.e., data sources and analytical capabilities) on the relationships between quality factors and information use.

An Extended D&M Model to Assess Health Websites Success

2011 ◽  
Vol 467-469 ◽  
pp. 1030-1037 ◽  
Author(s):  
Chung Hung Tsai ◽  
Wen Ping Wu
Keyword(s):  
Information Quality ◽  
Quality Information ◽  
System Quality ◽  
Quality Factors ◽  
Is Success ◽  
Online Trust ◽  
Success Model ◽  
Proposed Model ◽  
Web Quality ◽  
Positive Effect

Applying D&M IS success model, the study integrates three web quality factors (web quality: system quality, information quality, and service quality) and online trust to explore the IS success model of health websites. A survey of 1076 users of five teaching hospitals’ websites was conducted to validate the proposed model. According to the statistical results, the proposed model fits very well for the samples. The findings also show that three web quality factors have all significantly positive effect on web usage and web satisfaction. In addition, this study also confirms that online trust is important antecedent of web outcomes. System quality, Information quality, service quality and online trust jointly have significantly positive effect on web usage and web satisfaction. This study emphasizes the importance of both technological and social psychological factors in the progress towards success health websites. By integrating online trust into the success model of health websites, the proposed model extends beyond traditional technology-based view of web systems, and can provide academics and practitioners with better assessment of web success.

Analisis Pengaruh System Quality, Information Quality, Service Quality Terhadap Net Benefit Pada SI-PMB

2021 ◽  
Vol 10 (2) ◽  
pp. 259-263
Author(s):  
Agustinus Suradi ◽  
Marina Windarti ◽  
Syams Kurnaiawan Hidayat
Keyword(s):  
Service Quality ◽  
Information Quality ◽  
Partial Least Square ◽  
Least Square ◽  
Quality Information ◽  
Quality Service ◽  
System Quality ◽  
Net Benefit ◽  
Is Success

Strategi pengembangan sistem informasi perlu dievaluasi untuk mendukung keberhasilan dan kualitas layanan sistem informasi penerimaan mahasiswa baru. Ada ketidakpuasan pengguna SI-PMB dalam mendapatkan informasi yang mereka inginkan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kualitas informasi, kualitas sistem, kualitas layanan terhadap manfaat bersih SI-PMB. Model DeLone McLean IS Success digunakan dalam penelitian ini, dengan komponen variabel: kualitas informasi, kualitas sistem dan kualitas layanan. Analisis data menggunakan model struktural dengan alat analisis Partial Least Square. Hasil penelitian ini menunjukkan bahwa tidak terdapat hubungan yang positif dan signifikan antara variabel kualitas informasi dengan kepuasan pengguna nilai statistik T sebesar 0,426. Ada hubungan yang positif dan signifikan antara variabel kualitas sistem dan kepuasan pengguna dengan statistik T 3,103. Terdapat hubungan yang positif dan signifikan antara variabel kualitas pelayanan dengan kepuasan pengguna, nilai T statistic sebesar 2,604. Hubungan antara variabel kepuasan pengguna dan manfaat bersih, nilai statistik t sebesar 9,294 menyatakan bahwa terdapat hubungan yang positif dan signifikan antara variabel kepuasan pengguna dengan manfaat bersih.

Role of interaction quality and trust in use of AI-based voice-assistant systems

2021 ◽  
Vol 23 (2) ◽  
pp. 154-170
Author(s):  
One-Ki Daniel Lee ◽  
Ramakrishna Ayyagari ◽  
Farzaneh Nasirian ◽  
Mohsen Ahmadian
Keyword(s):  
Information Quality ◽  
Success Factors ◽  
Survey Methodology ◽  
Research Model ◽  
System Quality ◽  
Quality Factors ◽  
Trust Mechanism ◽  
Content Type ◽  
Interaction Quality ◽  
Assistant Systems

PurposeThe rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs. Contribution to Impact

Understanding Social Capital on Mobile SNS- An IS Success Model Perspective

2018 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Zuoning Xu ◽  
Tao Zhou
Keyword(s):  
Social Capital ◽  
Information Quality ◽  
Service Providers ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Structural Capital ◽  
Success Model ◽  
The Social ◽  
Mobile Sns

The social capital embedded within the social network relationships among users may facilitate their continued usage of mobile SNS. However, how to develop social capital remains a question. In this article, the authors incorporated three factors of system quality, information quality, and service quality from the information systems (IS) success model to examine their effects on social capital in mobile SNS. The results indicate that these three factors have significant effects on social capital, which includes structural capital, relational capital, and cognitive capital. The results imply that service providers need to improve users' technological perceptions in order to develop social capital and facilitate their continuance of mobile SNS.

Understanding the Influence of Business Intelligence Systems on Information Quality

2014 ◽  
pp. 20-43
Author(s):  
Aleš Popovič ◽  
Jurij Jaklič
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Information Quality ◽  
Positive Impact ◽  
Information Access ◽  
Present Level ◽  
Content Quality ◽  
Competitive Environments ◽  
Business Intelligence Systems ◽  
Complex Picture

The IS literature has long highlighted the positive impact of information provided by Business Intelligence Systems (BIS) on decision-making, particularly when organizations operate in highly competitive environments. The primary purpose of implementing BIS is to utilize diverse mechanisms to increase the levels of the two Information Quality (IQ) dimensions, namely information access quality and information content quality. While researchers have traditionally focused on assessing IQ criteria, they have largely ignored the mechanisms to boost IQ dimensions. Drawing on extant literature of BIS and IQ, the research sought to understand how, at its present level of development, BIS maturity affects IQ dimensions, as well as the role that business knowledge may exert in mobilizing this link. The authors test the hypotheses across 181 medium and large organizations. Interestingly, the data describe a more complex picture than might have been anticipated.

The Influence of Quality on E-Commerce Success

2011 ◽  
pp. 287-302
Author(s):  
Ultan Sharkey ◽  
Murray Scott ◽  
Thomas Acton
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Intention To Use ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Significant Relationships ◽  
Delone And Mclean ◽  
Success Model ◽  
Predicting Success

This research addresses difficulties in measuring e-commerce success by implementing the DeLone and McLean (D&M) model of IS success (1992, 2003) in an e-commerce environment. This research considers the influence of quality on e-commerce success by measuring the information quality and system quality attributes of an e-commerce system and the intention to use, user satisfaction and intention to transact from a sample of respondents. This research provides an empirical e-commerce application of the updated IS success model proposed by DeLone and McLean (2003). This paper found significant relationships between Information Quality and System Quality and three success dimensions: intention to use, user satisfaction and intention to transact. It found the following constructs to be most important in predicting success: ease of understanding, personalisation and reliability. In particular, that reliability is more important than usability where transactions are concerned and security though important, is not the most important factor.

Measuring IS Success in SMEs in Samoa

2011 ◽  
pp. 164-180
Author(s):  
Filifotu Vaai Vaai ◽  
Val Hooper
Keyword(s):  
Information Technology ◽  
User Satisfaction ◽  
Information Quality ◽  
Developing Nations ◽  
Quality System ◽  
Intention To Use ◽  
Exploratory Research ◽  
System Quality ◽  
Is Success ◽  
Financial Impacts

Information technology (IT) can either increase or decrease the ‘digital divide.’ Developing nations, such as Samoa, can leverage their economies with investment in IT, but investment is often determined by past information systems (IS) success. Exploratory research was conducted into the assessment and measurement of IS success by small and medium sized enterprises in Samoa, and the effect on IT investment. It was found that information quality, system quality, use, user satisfaction and financial impacts were the main dimensions according to which success was assessed, while intention to use, and cultural impacts were not usually assessed. Culture acted more as a moderator of the assessment. Measurements focused more on system related measures. Assessment on all dimensions impacted on future investment in IT.

scholarly journals Measuring E-Commerce Success in Malaysia: Modified Delone Mclean Model with Trust and Privacy

2018 ◽  
Vol 7 (4.15) ◽  
pp. 524
Author(s):  
Najma Imtiaz Ali ◽  
Suhaila Samsuri ◽  
Muhamad Sadry Abu Seman ◽  
Imtiaz Ali Brohi ◽  
Asadullah Shah
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Information Quality ◽  
Quality System ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model ◽  
Net Benefits

With the influx of the Internet, Business to Customer E-commerce (B2c e-Commerce) has gained popularity around the globe. Although a number of researches has been done to know the factors affecting the adoption of e-commerce, however, not much research has done to know the effects of e-commerce on online shopping success.  DeLone and McLean introduced the Information System (IS) success model in year 1992, later on, refined the same model with the newer concept, to fully understand the effects of IS success. In this paper, authors have used the DeLone and McLean IS success model 2003 with addition two constructs Privacy and Trust.  Seven interrelated dimensions of e-commerce were examined namely, Service Quality, System Quality, Trust, Privacy, User satisfaction and Net benefits. The proposed model and the relationship between the various constructs were measured by gathering the data from 381 users from the business faculty of Klang valley universities in Malaysia. Seven interconnected dimensions of B2C e-commerce success were confirmed namely, Service Quality, System Quality, Information Quality, Trust, Privacy along with User Satisfaction and Net Benefits. Confirmatory Factor Analysis CFA and SEM were used to analyse the collected data and proved the hypothesis. The results revealed that system quality, service quality, trust and privacy are directly related to user satisfaction which in turn directly related to net benefits, whereas information quality has no any influence on user satisfaction in terms of e-commerce. 

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

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