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

Impacts of quality antecedents on faculty members’ acceptance of electronic resources

2018 ◽  
Vol 36 (2) ◽  
pp. 289-305 ◽  
Author(s):  
Edda Tandi Lwoga ◽  
Alfred Said Sife
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Public Universities ◽  
Information Service ◽  
Individual Characteristics ◽  
Faculty Members ◽  
System Quality ◽  
Quality Factors ◽  
Electronic Resources ◽  
Content Type

PurposeThe purpose of this paper is to assess whether quality antecedents and individual characteristics can influence faculty members’ continued usage intention of electronic resources (e-resources) in selected public universities in Tanzania.Design/methodology/approachA total of 204 faculty members participated in the study from three public universities in Tanzania. The study used structural equation modelling, ANOVA andt-tests to perform analyses.FindingsBetter educated and middle-aged faculty members with a wide experience of using e-resources are more likely to continue using e-resources. Information quality had positive relationship with continued usage intention of e-resources while service quality had indirect impact to continued usage intention through information quality and system quality.Originality/valueBased on the DeLone and McLean information systems success model, this study integrates quality factors (information, service and system quality) and individual characteristics as antecedents to the continued usage intention of e-resources. The study comprehensively documents empirical findings on impacts of quality factors and individual characteristics on e-resources in a developing country. The study reveals results that are useful for enhancing usage of e-resources by faculty in other institutions with similar conditions.

Continued use intention of lifestyle mobile applications: the Starbucks app in Taiwan

2019 ◽  
Vol 37 (5) ◽  
pp. 893-913 ◽  
Author(s):  
Kuo-Lun Hsiao ◽  
Kuan-Yu Lin ◽  
Yi-Ting Wang ◽  
Chun-Hsiung Lee ◽  
Zhe-Ming Zhang
Keyword(s):  
Service Quality ◽  
Mobile Applications ◽  
Information Quality ◽  
Mobile App ◽  
Research Model ◽  
System Quality ◽  
Privacy And Security ◽  
Content Type ◽  
Utilitarian Value ◽  
Continued Use

Purpose In recent years, the ongoing development and rapid popularization of mobile devices, not only has brought new forms of lifestyle but also has boomed a wide array of service contents, allowing users to engage in entertainment, study and other daily activities, in addition to business transactions. To explore the factors that affect users' continued use of mobile app software, this paper aims to take into account the utilitarian value and privacy, as well as security factors and intends to propose an integrated research model based on the information systems success (ISS) model. Design/methodology/approach The data for this study were collected via an online survey questionnaire. A total of 190 valid responses were used to examine the hypotheses in the research model. The casual model was assessed using partial least squares techniques. Findings The results indicated that the three quality factors (information quality, system quality and service quality) in the ISS model significantly affected satisfaction and utilitarian value. Private and security have significant negative association with utilitarian value. The results also showed that private and security did not significantly affect satisfaction. The findings also provide some directions for further research. Practical implications The results show that user's continued use of mobile app software depends upon the perceived utilitarian value and satisfaction. The quality characteristics are the three critical factors that would affect the perceived utilitarian value and satisfaction. Compared to information quality and service quality, system quality has a higher degree of positive impact, which indicates that users are more concerned about the immediate download ability and ease-of-use provided by the system. Furthermore, the research also finds that privacy and security concerns have a negative influence on the utilitarian value, showing that in the context of task-oriented IS, the perceived risk of privacy and security during the process of using mobile app software services, will negatively affect users’ perception of utilitarian value. The insights provided by this study can help mobile app developers optimize design and marketing strategies. Originality/value This study provides a better understanding of how the factors in the theories influence the continuance usage intention of life style mobile applications.

E-participation decision across different channels

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yurong Yao ◽  
Peng Xu
Keyword(s):  
Online Survey ◽  
Information Quality ◽  
Public Affairs ◽  
Content Type ◽  
Interaction Quality ◽  
Channel Interaction ◽  
Participation Decision ◽  
Electronic Channel ◽  
Intention To Continue ◽  
The Impact

PurposeThis study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.Design/methodology/approachA research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.FindingsThe study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.Originality/valueThis study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

scholarly journals The Nature and Role of User Beliefs Regarding a Website's Design Quality

2020 ◽  
Vol 32 (1) ◽  
pp. 75-96 ◽  
Author(s):  
Camille Grange ◽  
Henri Barki
Keyword(s):  
Information Quality ◽  
Past Research ◽  
Design Guidelines ◽  
Ease Of Use ◽  
Research Model ◽  
System Quality ◽  
Design Quality ◽  
It Acceptance

Researchers and practitioners have long been interested in identifying the criteria that users consider important in assessing whether a system is worth using. However, past research in this domain has not taken into account the characteristics of a system's design and their quality in a systematic and comprehensive manner, which is likely to have limited the development of actionable design guidelines. The article addresses this issue by suggesting a research model that links user beliefs—which have traditionally been used in IT acceptance and success research (i.e., information quality, system quality, usefulness, and ease of use)—to their beliefs regarding the quality of three categories of a system's design (i.e., visual quality, page layout quality, and navigation quality) and testing it in the context of organizational intranets. The analysis of data collected from 159 intranet website users in three organizations supported the model, suggesting that the three categories of design quality beliefs significantly influenced users' assessment of their system's information quality and system quality.

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.

Knowledge management systems usage: application of diffusion of innovation theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Khaleel Okour ◽  
Chin Wei Chong ◽  
Fadi Abdel Muniem Abdel Fattah
Keyword(s):  
Knowledge Management ◽  
Diffusion Of Innovation ◽  
Information Quality ◽  
Banking Sector ◽  
Financial Sector ◽  
Decision Makers ◽  
Relative Advantage ◽  
System Quality ◽  
Content Type ◽  
Knowledge Quality

Purpose The purpose of this study is to investigate the influence of technological antecedents on the usage of decision makers for the implemented knowledge management system (KMS) amongst Jordanian banks. This study extends the investigation by assessing the influence of knowledge or information quality on KMS usage. This study aims to assess whether knowledge or information quality is significantly correlated to system compatibility, relative advantage and complexity (technological antecedents). Design/methodology/approach The study model was developed by using Rogers’ diffusion of innovation (DOI) theory, on which seven hypotheses were developed. To examine these research hypotheses, a self-administered questionnaire was carried out with 341 decision makers who are using the KMS to perform their job-related activities. Structural equation modelling analysis of moment structures software was used for data analysis. Findings The findings revealed that decision makers usage of the implemented KMS’s is affected significantly by relative advantages, system complexity and knowledge quality, but not system compatibility. Moreover, the findings showed that knowledge quality is significantly correlated with DOI technological antecedents. Practical implications Bank managements are now in a better position to understand what kind of resources and supports are needed to achieve the maximum pay-off from KMS usage within their banks. This study has proved that it is not sufficient for Jordanian banks to focus solely on the system quality; they must also take the quality of knowledge or information (system output) as a critical factor that can affect their investments in KMS’s. Originality/value This study is one of the limited conducted studies to investigate the importance of KMS usage and related antecedents in the Arab world; particularly, in the context of the Jordanian banking sector. The findings of this study have contributed to the Jordanian financial sector for its vital evaluation of the KMS actual usage behaviour. Findings can be used by the Jordanian ministry of finance to improve the understanding of the factors influencing KMS usage in the financial sector. This study has contributed to reducing the gap of DOI literature amongst developed and developing countries, particularly in the Jordanian context.

Exploring gamers' crowdsourcing engagement in Pokémon Go communities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shavneet Sharma ◽  
Neale Slack ◽  
Kritika Devi ◽  
Tuma Greig ◽  
Samantha Naidu
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Information Quality ◽  
New Wave ◽  
System Quality ◽  
Content Type ◽  
Content Creation ◽  
Related Information ◽  
Content Consumption ◽  
Pokémon Go

PurposeWith the increasing popularity of online games like Pokémon Go, a new wave of crowdsourcing communities have emerged, allowing gamers to collaborate, communicate and share useful game-related information. This paper aims to examine the factors that influence gamers' crowdsourcing behaviour.Design/methodology/approachA conceptual framework is developed that combines the DeLone & McLean model, self-determination theory, and different levels of engagement behaviour. The online survey collected 371 responses that were analysed using Covariance Based Structural Equation Modelling (CB-SEM).FindingsThe results show that extrinsic and intrinsic motivation positively influenced gamers' crowdsourcing engagement intention. System quality and information quality were also confirmed to be positively associated with gamers' crowdsourcing engagement intention. Furthermore, crowdsourcing engagement intention was found to be positively associated with crowdsourcing content consumption, contribution, and creation.Practical implicationsThe findings of this study are useful for the owners of Pokémon Go and other gaming-related crowdsourcing platforms in devising tailored strategies to increase the crowdsourcing engagement of gamers.Originality/valueThis study provides the first empirical evidence of factors motivating online gamers' crowdsourcing intention. This study also presents novel insight into online gamers' crowdsourcing intention by combining diverse theories which offer different perspectives and a more comprehensive understanding of the phenomenon. Contribution to the research on the intention-behaviour gap by modelling three behavioural outcomes (content creation, contribution, and consumption behaviour) of crowdsourcing engagement intention, is another important contribution of this study.

Evaluation of local government revenue collection information system success in Tanzania

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John M. Sausi ◽  
Erick J. Kitali ◽  
Joel S. Mtebe
Keyword(s):  
Information System ◽  
Local Government ◽  
User Satisfaction ◽  
Information Quality ◽  
Positive Impact ◽  
Government Revenue ◽  
System Quality ◽  
Content Type ◽  
Revenue Collection ◽  
Negative Effect

Purpose This study aims to adapt the updated DeLone and McLean model to evaluate the success of the local government revenue collection and information system (IS) implemented in Tanzania. Design/methodology/approach The study used a concurrent mixed research design integrating quantitative and qualitative data within a single investigation. A total of 296 users from local government authorities (LGAs) in 5 regions in Tanzania participated in the study. Findings The study found that the system quality and information quality had a significant positive impact whilst service quality and trust in the system had a significant negative effect. In contrast, facilitating conditions did not have an effect whatsoever. The findings from the open-ended questions and implications of the findings are discussed. Originality/value The findings from this study will help LGAs understand the factors that affect the success of the ISs in developing countries. The results indicate that in addition to information technology attributes, building trust in the system is crucial to foster user satisfaction and increase the public value of the systems.

Understanding cloud computing success and its impact on firm performance: an integrated approach

2020 ◽  
Vol 120 (5) ◽  
pp. 963-985 ◽  
Author(s):  
Abul Khayer ◽  
Yukun Bao ◽  
Bang Nguyen
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Firm Performance ◽  
User Satisfaction ◽  
Information Quality ◽  
Equation Modeling ◽  
Successful Implementation ◽  
System Quality ◽  
Content Type ◽  
It Capability

PurposeThis study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance.Design/methodology/approachThe authors developed a conceptual framework based on the integration of several strands of literature in business studies and information systems. To test the proposed model, data were collected from 300 Chinese firms which have adopted cloud computing. To analyze the data, partial least squares structural equation modeling (PLS-SEM) was used. An importance-performance map analysis (IPMA) was also conducted to identify the critical factors that exhibit high importance but low performance.FindingsThe results of the study revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success. Additionally, cloud computing success has a strong and positive impact on firm performance. IPMA further confirms that managers need to concentrate more on system quality, information quality, user satisfaction and technical IT capability.Originality/valueThis paper is one of the few attempts to integrate several theoretical frameworks (i.e. IT capabilities and resource-based view, expectation-confirmation theory, and information system success theory) to develop a comprehensive model for understanding the key determinants of cloud computing success and its impact on firm performance. This study makes a useful contribution to the conventional information systems (IS) literature and IT management practice.

Understanding continuance usage intention of mHealth in a developing country

2020 ◽  
Vol 14 (2) ◽  
pp. 251-272 ◽  
Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Least Squares Method ◽  
System Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Continuance Usage ◽  
The Government ◽  
Continuance Usage Intention

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

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