scholarly journals ANALYSIS OF THE TASK-TECHNOLOGY FIT MODEL APPLIED TO WHATSAPP AS A PREFERENCE OF YOUNG USERS OF MOBILE INSTANT MESSENGERS

2021 ◽  
Vol 14 (2) ◽  
pp. 217
Author(s):  
Luis Hernan Contreras Pinochet ◽  
Jéssica Priscilla dos Santos Badaró ◽  
Evandro Luiz Lopes ◽  
Eliane Herrero ◽  
Durval Lucas dos Santos Júnior
Keyword(s):  
Multivariate Data Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Communication Tool ◽  
Behavioral Profile ◽  
Perceived Needs ◽  
Technological Characteristics ◽  
Communication Method ◽  
Task Technology Fit ◽  
Intention To Continue

The purpose of this article is to analyze the technology-task adjustment model applied to WhatsApp as a preferred communication method by young Mobile Instant Messengers (MIM) users. Thus, we conducted a survey (n=567) and a multivariate data analysis through Structural Equation Modeling. Only one hypothesis of the model was rejected showing that hedonic needs do not influence needs perceived by users. Users do not realize pleasure as a need when it comes to MIMs with communication-oriented features and is not exclusively for fun. We also found that the behavioral profile of young users to perceive the importance of motivational needs, technological characteristics, perceived needs, satisfaction, and privacy, to generate the intention to continue using the mobile communication tool. 

scholarly journals Investigating the Impact of Critical Factors on Continuous Usage Intention towards Enterprise Social Networks: An Integrated Model of IS Success and TTF

2021 ◽  
Vol 13 (14) ◽  
pp. 7619
Author(s):  
Run-Ze Wu ◽  
Xiu-Fu Tian
Keyword(s):  
Social Networks ◽  
Structural Equation ◽  
Equation Modeling ◽  
Critical Factors ◽  
Information Systems Success ◽  
Is Success ◽  
Enterprise Social Networks ◽  
Task Technology Fit ◽  
Continuous Usage Intention ◽  
The Impact

Due to the outbreak of COVID-19, many people have to accept remote working. However, as COVID-19 has been effectively controlled in China, remote office services provided by enterprise social networks (ESNs) is no longer a necessary choice of users. There has not yet been any referential research for ESN enterprises concerning how to encourage users willing to use ESNs continuously. Therefore, the purpose of this research is to identify the critical factors of ESN continuous usage intention to make up the research gap of ESN continuous usage intention and to help enterprises address the issue of sustained growth. This research combines elements of the task technology fit (TTF) model and D&M information systems success (ISS) model, explaining the continuous usage intention of ESN users. The empirical analysis results are based on the sample data of 668 Chinese respondents with experience in ESNs use and analyzed using structural equation modeling (SEM). Results show that task technology fit, performance expectancy and the satisfaction degree have a significant influence on continuous usage intention of ESNs. The research findings can provide the theoretical basis for sustained development and follow-up research of the ESN industry.

How can hotel smartphone apps enhance hotel guest experiences? An integrated model of experiential value

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hyeongmin Kim ◽  
Chang Huh ◽  
Chanho Song ◽  
Myong Jae Lee
Keyword(s):  
Structural Equation ◽  
Integrated Model ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Communication Tool ◽  
Time Saving ◽  
Web Based ◽  
Content Type ◽  
Affective Evaluation ◽  
Experiential Value

Purpose The purpose of this study was to investigate relationships among the experiential value of hotel apps, the cognitive and affective evaluation of hotel apps users, hotel apps users’ satisfaction and their endorsement for the hotel apps. Specifically, this study examined the relationships that enhance hotel guests’ experiences through hotel apps. Design/methodology/approach The measurement items were developed through extensive literature review. This study used a web-based survey to test an integrated model of the experiential value. With a total of 320 usable samples, partial least squares structural equation modeling was carried out to identify key “driver” constructs and validate the proposed model. Findings A significant relationship was found in the playfulness of hotel apps and hotel guests’ cognitive and affective evaluations of the hotel apps, which positively influence hotel guests’ satisfaction and their endorsement for the hotel apps. Hotel apps should create fun and entertainment features in the hotel apps so that the users of hotel apps can be enjoyable during their usage. In addition, providing hotel apps users with time saving and easy use of the hotel apps can affect their satisfaction and endorsement for the hotel apps. Originality/value This study confirmed the positive links among hotel apps users’ experiential value, their cognitive and affective evaluation of the hotel apps, their satisfaction of using the hotel apps and their endorsement for the hotel apps. This study also revealed that hotel apps can be hotels’ effective communication tool that enhances existing and potential customers’ overall experiences.

scholarly journals PLS-SEM STATISTICAL PROGRAMS: A REVIEW

2021 ◽  
Vol 5 (1) ◽  
pp. i-xiv
Author(s):  
Mumtaz Ali Memon ◽  
T. Ramayah ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
Francis Chuah ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Multivariate Data Analysis ◽  
Structural Equation ◽  
Multivariate Data ◽  
Informed Decision ◽  
Equation Modeling

Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little is done to explain the attributes of the different PLS-SEM statistical applications. The objective of this editorial is to discuss a variety of PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing understanding and experience of using these applications. We hope this editorial can serve as a manual for users to understand the unique characteristics of each PLS-SEM application and make an informed decision on the most appropriate application in their research.

scholarly journals Quality and Use of Mobile Applications for Transportation Service: Influence on Satisfaction

2021 ◽  
pp. 21-42
Author(s):  
Claudia Leticia Preciado-Ortiz
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Structural Equation ◽  
User Behavior ◽  
Research Work ◽  
Equation Modeling ◽  
Transportation Industry ◽  
Transportation Service ◽  
Intention To Continue

The main objective of this research work was to analyze the factors that influence satisfaction and the intention to continue with the use of mobile transport applications in young university students from Guadalajara, Jalisco, Mexico. The approach was quantitative. 144 valid responses were used, and partial least squares structural equation modeling (PLS-SEM) was used to test the model. The software employing was the SmartPLS 3. The results indicate that the quality of the design, the quality of the information and the quality of the system are predictors of influence on satisfaction. Companies that offer individual passenger transport through a mobile application have increased in recent years, generating strong competition both between existing brands and with established traditional taxis. This study provides new and recent information for marketing managers and academics on application user behavior in the transportation industry.

How does task-technology fit influence cloud-based e-learning continuance and impact?

2019 ◽  
Vol 61 (4) ◽  
pp. 480-499 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Educational Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Comprehensive University ◽  
Content Type ◽  
E Learning ◽  
Task Technology Fit ◽  
Perceived Impact

Purpose According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant. Originality/value This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

Sociotechnical fit and perceived usefulness of enterprise social networks

2019 ◽  
Vol 47 (12) ◽  
pp. 1-11
Author(s):  
Bing Wu
Keyword(s):  
Social Networks ◽  
Organizational Support ◽  
Structural Equation ◽  
Organizational Factors ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Enterprise Social Networks ◽  
Task Technology Fit

I aimed to show how the sociotechnical fit model may be employed to understand users' perception of the usefulness of enterprise social networks (ESNs). Specifically, I examined the fit between organization, technology, and employee as a determinant of the perceived usefulness of ESNs. Participants were 275 employees of JA Company who had previously used an ESN, and they completed measures of organizational factors, ESN characteristics, task characteristics, organization–technology fit, task–technology fit, perceived ease of use, and perceived usefulness. Results of structural equation modeling showed that organization–technology fit differed based organizational support but not the technological characteristics of ESNs; task–technology fit was influenced by ESN technological features, task features, and organization–technology fit; and there were significant relationships between organization–technology fit and perceived usefulness, between perceived ease of use and perceived usefulness, and between task–technology fit and perceived ease of use. The research findings contribute to understanding of the roles of organization–technology–human fit constructs that drive people's perception of usefulness in the context of ESNs.

Digital working during the COVID-19 pandemic: how task–technology fit improves work performance and lessens feelings of loneliness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simen Nordbø Abelsen ◽  
Svenn-Helge Vatne ◽  
Patrick Mikalef ◽  
Jyoti Choudrie
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Work Performance ◽  
Equation Modeling ◽  
Sample Population ◽  
Snowball Sampling ◽  
Online Questionnaire ◽  
Content Type ◽  
Work Related ◽  
Task Technology Fit

PurposeThis study aims to investigate the relationship between information and communication technologies (ICTs) use and work performance during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, it aims to understand what the role of task–technology fit is, and what effect this has on feelings of loneliness of individuals and their subsequent work performance. As a large proportion of workers are required to work from home during the ongoing COVID-19 pandemic, understanding what aspects contribute to higher performance and reduced negative psychological outcomes is of increased practical and research interest.Design/methodology/approachTo explore these questions, a quantitative approach that employed a sample population of 357 individuals who worked from home during the COVID-19 pandemic was used. Using a convenience, purposive and snowball sampling approach the authors collected data through a custom-built online questionnaire, and analyzed the data using structural equation modeling (SEM).FindingsThe results highlight the effect that high task–technology fit has in both directly and indirectly influencing work performance of individuals. The authors find that by designing ICTs based on task–technology fit principles, individuals are less likely to experience feelings of loneliness while working from home and are more prone to perform better in their work-related tasks.Originality/valueThis study offers a new perspective on the role fit of tasks with technology have on influencing psychological states, and indirectly influencing work-related outcomes. The authors, therefore, expand the understanding about why task–technology fit is sought after by explaining part of the psychological mechanisms through which it has an effect on work performance.

scholarly journals An Empirical Study on How Livestreaming Can Contribute to the Sustainability of Green Agri-Food Entrepreneurial Firms

2021 ◽  
Vol 13 (22) ◽  
pp. 12627
Author(s):  
Mengmeng Wang ◽  
Xue Fan
Keyword(s):  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Entrepreneurial Firms ◽  
Agricultural Field ◽  
Intention To Adopt ◽  
Task Technology Fit ◽  
Using Data ◽  
Corporate Social ◽  
Positive Effect

During the COVID-19 pandemic, digital technology has been used in all aspects of the agricultural field. How to seize the opportunity to achieve the production-marketing connection is increasingly becoming a top concern for green agri-food enterprises. Based on the theory of a task–technology fit, this study analyzes the fitness between livestreaming e-commerce and green agri-food. More specifically, the task characteristics cover the seasonality, locality, and eco-friendliness of green agri-food, and the technology characteristics cover the responsiveness, interactivity, and entertainment of livestreaming e-commerce. Using data of a sample of 574 green agri-food entrepreneurial firms collected through a web-based questionnaire, we preform structural equation modeling (SEM) analysis and find that the locality and eco-friendliness of green agri-food, the responsiveness, interactivity, and entertainment of livestreaming e-commerce have a positive effect on the fit of green agri-food livestreaming e-commerce. Moreover, the fit of green agri-food livestreaming has a positive effect on firm performance and the intention to adopt livestreaming e-commerce. This study also demonstrates that perceived corporate social responsibility has a moderating effect on the relationship between the fit of livestreaming of green agri-food and the intention to adopt livestreaming e-commerce. This study extends prior research on the task–technology fit into livestreaming e-commerce companies and provides insights into our understanding of successful adoption of livestreaming e-commerce.

scholarly journals A Study of the Relationship among Self-efficacy, Cognitive Load, Failure Attribution and Intention of Continue Participation in the "Insect Garden VR Game"

2021 ◽  
Vol 11 (11) ◽  
pp. 498-503
Author(s):  
Chin-Chieh Juh ◽  
◽  
Chow-Chin Lu ◽  
Jon-Chao Hong
Keyword(s):  
Education Reform ◽  
Cognitive Load ◽  
Self Efficacy ◽  
Structural Equation ◽  
Science Curriculum ◽  
Compulsory Education ◽  
Equation Modeling ◽  
Problem Solving Skills ◽  
Intention To Continue ◽  
The Relationship

Education reform is ongoing in Taiwan, the 12-year compulsory education has been implemented since 2019. The science curriculum emphasizes the importance of students' self-learning and problem-solving skills. This study applied the "Insect Garden VR Game" to understand the relationship among students' self-efficacy, cognitive load, failure attribution, and intention of continuous participation in the game. In this study, 172 4th-grade students participated. This study adopted the method of questionnaire survey, which was valid and reliable (Cronbach’s α =0.934). Path analysis of data from 160 effective responses was performed using SPSS (version 20) and structural equation modeling-AMOS (version 20). The conclusions were: 1). the game’s self-efficacy of student was significantly positively correlated with cognitive load. 2). Self-efficacy of student was significantly negatively correlated with failure attribution. 3). Cognitive load of student was significantly positively correlated with failure attribution. 4). Failure attribution of student was significantly negatively correlated with intention of continuous participation. 5). Cognitive load of student was significantly positively correlated with the intention of continuous participation. The suggestions of this study were: 1). Focus on improving the self-efficacy of students' in VR-game-based-eLearning that could enhance students to challenge the tasks in the game. 2). Many tasks can be designed in the game. Although it will increase the cognitive load of the students, it can increase the intention to continue with the participation. 3). The game operation is simple, the equipment can be used normally, the experience of failure is reduced, and the intention of continuous participation can be improved.

Privacy or Security: Does It Matter for Continued Use Intention of Travel Applications?

2021 ◽  
pp. 193896552110668
Author(s):  
Kijung Choi ◽  
Ying Wang ◽  
Beverley A. Sparks ◽  
Sejung Marina Choi
Keyword(s):  
Privacy Protection ◽  
Structural Equation ◽  
Service Providers ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Structured Interviews ◽  
Continued Use ◽  
Tourism Service ◽  
Intention To Continue ◽  
Expectation Confirmation

Mobile applications (apps) critically affect travelers’ decision-making and shape their experiences. Grounded in the expectancy value approach, this study examines the relationships among expectation confirmation (usefulness, ubiquity, ease of use, incentives, and enjoyment), privacy protection, security, satisfaction, and trust, and how these factors influence travel app users’ intention to continue using the app. Phase One of the study analyzed data from 509 survey respondents via structural equation modeling. The findings show that expectation confirmation, security, satisfaction, and trust influence travelers’ intention to continue using the travel app, whereas privacy protection exerts no significant effects. Travel app users’ level of technology proficiency moderates the effect of perceived security and satisfaction on the intention to continue use. In Phase Two, semi-structured interviews were conducted to explore the key findings from Phase One. This study contributes to the literature by examining expectation confirmation, perceived values of privacy protection, and security of travel app users in a single model to explain individuals’ satisfaction, trust, and continued use intention. The study findings also offer strategic implications for travel app developers as well as hospitality and tourism service providers and marketers on how to deliver a high-quality experience, enhance satisfaction and trust, and increase continued use intention among travel app users.

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