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Yi-Cheng Ku, Rui Chen, Han Zhang (2013)
Why do users continue using social networking sites? An exploratory study of members in the United States and TaiwanInf. Manag., 50
Juan Sanchez, William Korbin, D. Viscarra (1995)
Corporate support in the aftermath of a natural disaster: Effects on employee strainsAcademy of Management Journal, 38
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
Yung-Ming Cheng (2014)
What Drives Nurses' Blended e-Learning Continuance Intention?J. Educ. Technol. Soc., 17
E. Beltramini (2018)
Human vulnerability and robo-advisoryBaltic Journal of Management, 13
E. Raaij, J. Schepers (2008)
The acceptance and use of a virtual learning environment in ChinaComput. Educ., 50
Gilbert Churchill (1979)
A Paradigm for Developing Better Measures of Marketing ConstructsJournal of Marketing Research, 16
Xiaolin Lin, Mauricio Featherman, Saonee Sarker (2017)
Understanding factors affecting users' social networking site continuance: A gender difference perspectiveInf. Manag., 54
Eunil Park (2020)
User acceptance of smart wearable devices: An expectation-confirmation model approachTelematics Informatics, 47
Ling Zhao, Yao-bin Lu (2012)
Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intentionDecis. Support Syst., 53
Echo Huang (2012)
Online Experiences and Virtual Goods Purchase IntentionInternet Res., 22
Matthew Lee, Christy Cheung, Zhaohui Chen (2005)
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivationInf. Manag., 42
Y. Kang, Soongeun Hong, Heeseok Lee (2009)
Exploring continued online service usage behavior: The roles of self-image congruity and regretComput. Hum. Behav., 25
(1971)
Test validation
Kuan-Yu Lin, Hsi-Peng Lu (2011)
Why people use social networking sites: An empirical study integrating network externalities and motivation theoryComput. Hum. Behav., 27
Yung-Ming) 程永明(Cheng (2014)
Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intentionInformation Technology & People, 27
M. Katz, C. Shapiro (1985)
Network Externalities, Competition, and CompatibilityThe American Economic Review, 75
James Anderson, D. Gerbing (1988)
STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACHPsychological Bulletin, 103
Aik-Chuan Teo, G. Tan, K. Ooi, Teck-Soon Hew, King-Tak Yew (2015)
The effects of convenience and speed in m-paymentInd. Manag. Data Syst., 115
iago Oliveiraa, Miguel Fariaa, Manoj Thomasb, Aleš Popovič (2014)
International Journal of Information Management
Li-Chun Hsu, Kai-Yu Wang, W. Chih, Kuan-Yu Lin (2015)
Investigating the ripple effect in virtual communities: An example of Facebook Fan PagesComput. Hum. Behav., 51
Anol Bhattacherjee (2001)
Understanding Information Systems Continuance: An Expectation-Confirmation ModelMIS Q., 25
SuHoun Liu, Hsiu-Li Liao, Jean Pratt (2009)
Impact of media richness and flow on e-learning technology acceptanceComput. Educ., 52
E. Katz, M. Gurevitch, Hadassah Haas (1973)
On the use of the mass media for important things.American Sociological Review, 38
Christina Finneran, Ping Zhang (2005)
Flow in Computer-Mediated Environments: Promises and ChallengesCommun. Assoc. Inf. Syst., 15
Michael Humbani, M. Wiese (2019)
An integrated framework for the adoption and continuance intention to use mobile payment appsInternational Journal of Bank Marketing
Tao Zhou, Yao-bin Lu (2011)
Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experienceComput. Hum. Behav., 27
Yung-Ming Cheng (2018)
What drives cloud ERP continuance? An integrated viewJ. Enterp. Inf. Manag., 31
L. Cronbach (1951)
Coefficient alpha and the internal structure of testsPsychometrika, 16
Ezlika Ghazali, Dilip Mutum, Mei-Yuen Woon (2019)
Exploring player behavior and motivations to continue playing Pokémon GOInf. Technol. People, 32
M. Katz, C. Shapiro (1986)
Technology Adoption in the Presence of Network ExternalitiesJournal of Political Economy, 94
Chieh-Peng Lin, Anol Bhattacherjee (2008)
Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network ExternalitiesInternational Journal of Electronic Commerce, 13
Hanjun Ko, Chang-Hoan Cho, M. Roberts (2005)
INTERNET USES AND GRATIFICATIONS: A Structural Equation Model of Interactive AdvertisingJournal of Advertising, 34
Hsiu-Sen Chiang (2013)
Continuous usage of social networking sites: The effect of innovation and gratification attributesOnline Inf. Rev., 37
Y. Joo, Sunyoung Park, Eui Shin (2017)
Students' expectation, satisfaction, and continuance intention to use digital textbooksComput. Hum. Behav., 69
T. Verhagen, Frans Feldberg, B. Hooff, S. Meents, Jani Merikivi (2012)
Understanding users' motivations to engage in virtual worlds: A multipurpose model and empirical testingComput. Hum. Behav., 28
Chin-Lung Hsu, Hsi-Peng Lu (2004)
Why do people play on-line games? An extended TAM with social influences and flow experienceInf. Manag., 41
M. Sánchez-Franco (2010)
WebCT - The quasimoderating effect of perceived affective quality on an extending Technology Acceptance ModelComput. Educ., 54
Tao Zhou, Yao-bin Lu, Bin Wang (2010)
Integrating TTF and UTAUT to explain mobile banking user adoptionComput. Hum. Behav., 26
Thompson Teo, V. Lim, R. Lai (1999)
Intrinsic and extrinsic motivation in Internet usageOmega-international Journal of Management Science, 27
Chu-Bing Zhang, Yi-Na Li, Bo Wu, Dong-Jin Li (2017)
How WeChat can retain users: Roles of network externalities, social interaction ties, and perceived values in building continuance intentionComput. Hum. Behav., 69
ndrea Pontiggiaa, F. Virili, A. Pontiggia (2009)
etwork effects in technology acceptance : Laboratory experimental evidence
M. Koufaris (2002)
Applying the Technology Acceptance Model and Flow Theory to Online Consumer BehaviorInf. Syst. Res., 13
Chiun-Sin Lin, G. Tzeng, Yang-Chieh Chin, Chiao-Chen Chang (2010)
Recommendation sources on the intention to use e-books in academic digital librariesElectron. Libr., 28
Yung-Ming Cheng (2014)
Extending the expectation-confirmation model with quality and flow to explore nurses' continued blended e-learning intentionInf. Technol. People, 27
Inge Klopping, E. McKinney (2004)
Extending the Technology Acceptance Model and the Task-Technology Fit Model to Consumer E-Commerce
Øystein Sørebø, H. Halvari, Vebjørn Gulli, Roar Kristiansen (2009)
The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technologyComput. Educ., 53
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
Se-Joon Hong, J. Thong, K. Tam (2006)
Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile InternetInformation Systems: Behavioral & Social Methods
G. Chakraborty, Prashant Srivastava, David Warren (2005)
Understanding corporate B2B web sites' effectiveness from North American and European perspectiveIndustrial Marketing Management, 34
D. Goodhue, Ronald Thompson (1995)
Task-Technology Fit and Individual PerformanceMIS Q., 19
International Journal of Information Management, 34
Junpeng Guo, Zengguang Liu, Yu Liu (2016)
Key success factors for the launch of government social media platform: Identifying the formation mechanism of continuance intentionComput. Hum. Behav., 55
Lukas Brenner, Tobias Meyll (2019)
Robo-Advisors: A Substitute for Human Financial Advice?Behavioral Marketing eJournal
B. Foroughi, M. Iranmanesh, S. Hyun (2019)
Understanding the determinants of mobile banking continuance usage intentionJ. Enterp. Inf. Manag., 32
A. Alzahrani, Imran Mahmud, Thurasamy Ramayah, O. Alfarraj, Nasser Alalwan (2017)
Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate studentsTelematics Informatics, 34
Juan Roca, Chao-Min Chiu, F. Martínez (2006)
Understanding e-learning continuance intention: An extension of the Technology Acceptance ModelInt. J. Hum. Comput. Stud., 64
Carlos Tam, T. Oliveira (2016)
Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspectiveComput. Hum. Behav., 61
D. Choi, Jeoungkun Kim, S. Kim (2007)
ERP training with a web-based electronic learning system: The flow theory perspectiveInt. J. Hum. Comput. Stud., 65
Jingming Xue, En Zhu, Qiang Liu, Jianping Yin (2018)
Group Recommendation Based on Financial Social Network for Robo-AdvisorIEEE Access, 6
Ming-Chi Lee (2010)
Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation modelComput. Educ., 54
(2018)
Global robo-advisory market (2015-2023)Research and Markets, Ushers, Dublin 8
Charles Makanyeza (2017)
Determinants of consumers’ intention to adopt mobile banking services in ZimbabweInternational Journal of Bank Marketing, 35
Gökhan Daghan, B. Akkoyunlu (2016)
Modeling the continuance usage intention of online learning environmentsComput. Hum. Behav., 60
Tao Zhou (2015)
The effect of network externality on mobile social network site continuanceProgram, 49
H. Celik (2008)
WHAT DETERMINES TURKISH CUSTOMERS ACCEPTANCE OF INTERNET BANKINGInternational Journal of Bank Marketing, 26
D. Belanche, L. Casaló, C. Flavián (2019)
Artificial Intelligence in FinTech: understanding robo-advisors adoption among customersInd. Manag. Data Syst., 119
Ritu Agarwal, Elena Karahanna (2000)
Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology UsageMIS Q., 24
Lan-Ying Huang, Y. Hsieh (2011)
Predicting online game loyalty based on need gratification and experiential motivesInternet Res., 21
S. Mouakket (2019)
Information self-disclosure on mobile instant messaging applicationsJ. Enterp. Inf. Manag., 32
S. Sharma, Srikrishna Govindaluri (2014)
Internet banking adoption in India: Structural equation modeling approachJournal of Indian Business Research, 6
D. Hoffman, T. Novak (1996)
Marketing in Hypermedia Computer-Mediated Environments: Conceptual FoundationsJournal of Marketing, 60
Eric Wang, A. Seidmann (1995)
Electronic data interchange: competitive externalities and strategic implementation policiesManagement Science, 41
J. Park, Jaepil Ryu, Hyun Shin (2016)
Robo-Advisors for Portfolio Management
Sangjae Lee, Byung Kim (2017)
The impact of qualities of social network service on the continuance usage intentionManagement Decision, 55
Arghya Ray, A. Dhir, A. Dhir, P. Bala, Puneet Kaur, Puneet Kaur (2019)
Why do people use food delivery apps (FDA)? A uses and gratification theory perspectiveJournal of Retailing and Consumer Services
Sahar Afshan, Arshian Sharif (2016)
Acceptance of mobile banking framework in PakistanTelematics Informatics, 33
Matthias Uhl, P. Rohner (2018)
Robo-Advisors versus Traditional Investment Advisors: An Unequal Game, 21
(1974)
Utilization of mass communication by the individual
H. Chang (2010)
Task-technology fit and user acceptance of online auctionInt. J. Hum. Comput. Stud., 68
Parijat Upadhyay, Saeed Jahanyan (2016)
Analyzing user perspective on the factors affecting use intention of mobile based transfer paymentInternet Res., 26
P. Hanafizadeh, B. Keating, Hamid Khedmatgozar (2014)
A systematic review of Internet banking adoptionTelematics Informatics, 31
Tomislav Hernaus, M. Bach, V. Vukšić (2012)
Influence of strategic approach to BPM on financial and non‐financial performanceBaltic Journal of Management, 7
Carlos Lourenço, B. Dellaert, B. Donkers (2020)
Whose Algorithm Says So: The Relationships between Type of Firm, Perceptions of Trust and Expertise, and the Acceptance of Financial Robo-AdviceJournal of Interactive Marketing, 49
Ya-Ching Lee (2006)
An empirical investigation into factors influencing the adoption of an e-learning systemOnline Inf. Rev., 30
Tung-Ching Lin, Shiu-li Huang (2014)
Understanding the Determinants of Consumers' Switching Intentions in a Standards WarInternational Journal of Electronic Commerce, 19
Yung-Ming Cheng (2020)
Drivers of physicians' satisfaction and continuance intention toward the cloud-based hospital information systemKybernetes, 50
A. Susanto, Younghoon Chang, Y. Ha (2016)
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation modelInd. Manag. Data Syst., 116
I. Bashir, C. Madhavaiah (2015)
Consumer attitude and behavioural intention towards Internet banking adoption in IndiaJournal of Indian Business Research, 7
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
Jiyoon Lee, M. Ryu, Daeho Lee (2019)
A study on the reciprocal relationship between user perception and retailer perception on platform-based mobile payment serviceJournal of Retailing and Consumer Services
Li-Chun Huang, Wen-Lung Shiau, Ya-Hsuan Lin (2017)
What factors satisfy e-book store customers? Development of a model to evaluate e-book user behavior and satisfactionInternet Res., 27
K. Lin (2018)
Taiwan relaxes robo-advisory rulesFund Selector Asia, 12 April
Yung-Ming Cheng (2019)
A hybrid model for exploring the antecedents of cloud ERP continuanceInt. J. Web Inf. Syst., 15
Donghee Shin (2012)
3DTV as a social platform for communication and interactionInf. Technol. People, 25
P. Podsakoff, Scott MacKenzie, Jeong-Yeon Lee, Nathan Podsakoff (2003)
Common method biases in behavioral research: a critical review of the literature and recommended remedies.The Journal of applied psychology, 88 5
B. Nault, A. Dexter (1994)
Adoption, Transfers and Incentives in a Franchise Network with Positive ExternalitiesERN: Firm Behavior (IO: Empirical) (Topic)
Tao Zhou (2011)
An Empirical Examination of Initial Trust in Mobile BankingInternet Res., 21
Irene Esteban-Millat, F. Martínez-López, R. Huertas-García, Antoni Meseguer-Artola, Inma Rodríguez-Ardura (2014)
Modelling students' flow experiences in an online learning environmentComput. Educ., 71
R. Saadé, B. Bahli (2005)
The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance modelInf. Manag., 42
Manning Li, Jiye Mao (2015)
Hedonic or utilitarian? Exploring the impact of communication style alignment on user's perception of virtual health advisory servicesInt. J. Inf. Manag., 35
C. Fornell, D. Larcker (1981)
Evaluating Structural Equation Models with Unobservable Variables and Measurement ErrorJournal of Marketing Research, 18
(1997)
Happiness and creativity: going with the flow
Ing-Long Wu (2013)
The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trustInt. J. Inf. Manag., 33
Journal of Behavioral and Experimental Finance, 25
Mohammad Merhi (2016)
Towards a framework for online game adoptionComput. Hum. Behav., 60
Ankita Bhatia, Arti Chandani, J. Chhateja (2020)
Robo advisory and its potential in addressing the behavioral biases of investors — A qualitative study in Indian contextJournal of Behavioral and Experimental Finance, 25
M. Hsiao (2019)
Mobile payment services as a facilitator of value co-creation: A conceptual frameworkThe Journal of High Technology Management Research
R. Oliver (1980)
A Cognitive Model of the Antecedents and Consequences of Satisfaction DecisionsJournal of Marketing Research, 17
Soo Ewe, S. Yap, Christina Lee (2015)
Network externalities and the perception of innovation characteristics: mobile bankingMarketing Intelligence & Planning, 33
Y. Chang, D. Zhu (2012)
The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in ChinaComput. Hum. Behav., 28
Seonghoon Kim, L. Feldt (2008)
A Comparison of Tests for Equality of Two or More Independent Alpha CoefficientsJournal of Educational Measurement, 45
W. Lin, Chun-Hsien Wang (2012)
Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fitComput. Educ., 58
Jiabao Lin, Bin Wang, Na Wang, Yao-bin Lu (2013)
Understanding the evolution of consumer trust in mobile commerce: a longitudinal studyInformation Technology and Management, 15
G. Baptista, T. Oliveira (2016)
A weight and a meta-analysis on mobile banking acceptance researchComput. Hum. Behav., 63
Chun-Ming Chang (2018)
Understanding social networking sites continuance: The perspectives of gratifications, interactivity and network externalitiesOnline Inf. Rev., 42
Behcet Ozkara, M. Ozmen, Jong Kim (2016)
Exploring the relationship between information satisfaction and flow in the context of consumers' online searchComput. Hum. Behav., 63
Hongxiu Li, Yong Liu, Xiaoyu Xu, J. Heikkilä, H. Heijden (2015)
Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online gamesComput. Hum. Behav., 48
J. Thong, Se-Joon Hong, K. Tam (2006)
The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance
D. Jung, Verena Dorner, Florian Glaser, Stefan Morana (2018)
Robo-AdvisoryBusiness & Information Systems Engineering, 60
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
S. Al-Somali, Roya Gholami, B. Clegg (2009)
An investigation into the acceptance of online banking in Saudi ArabiaTechnovation, 29
D. Jung, Verena Dorner, Christof Weinhardt, Hakan Pusmaz (2018)
Designing a robo-advisor for risk-averse, low-budget consumersElectronic Markets, 28
Lingling Gao, Xuesong Bai (2014)
An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theoryAsia Pacific Journal of Marketing and Logistics, 26
Tseng-Lung Huang, Shuling Liao (2015)
Creating e-shopping multisensory flow experience through augmented-reality interactive technologyInternet Res., 27
J. Ende, N. Wijnberg, R. Vogels, M. Kerstens (2003)
Organizing Innovative Projects to Interact with Market Dynamics:: A Coevolutionary ApproachEuropean Management Journal, 21
R. Bagozzi, Youjae Yi (1988)
On the evaluation of structural equation modelsJournal of the Academy of Marketing Science, 16
S. Ma, S. Zhang, Geng Li, Yi Wu (2019)
Exploring information security education on social media useAslib J. Inf. Manag., 71
Yung-Ming Cheng (2019)
How does task-technology fit influence cloud-based e-learning continuance and impact?Education + Training
Bruno Nascimento, T. Oliveira, Carlos Tam (2018)
Wearable technology: What explains continuance intention in smartwatches?Journal of Retailing and Consumer Services
Yung-Ming) 程永明(Cheng (2014)
What Drives Nurses' Blended e-Learning Continuance Intention?.Educational Technology & Society, 17
A. Baabdullah, A. Alalwan, N. Rana, Pushp Patil, Yogesh Dwivedi (2019)
An integrated model for m-banking adoption in Saudi ArabiaInternational Journal of Bank Marketing
The purpose of this study is to propose a synthetic post-adoption model based on the expectation-confirmation model (ECM) and flow theory to examine whether the fit factor, network factors and psychological factors as antecedents to end-users’ beliefs can affect their continuance intention of the robo-advisor.Design/methodology/approachThis study used the research model based on ECM and flow theory to examine the effects of the fit factor, network factors and psychological factors on end-users’ beliefs and continuance intention of the robo-advisor. Sample data were collected from end-users at three financial services companies in Taiwan. A total of 450 questionnaires were distributed and 360 (80.0%) usable questionnaires were analyzed using structural equation modeling.FindingsThis study proposes a solid research model that based on ECM and flow theory, three types of factors, namely, fit factor, network factors and psychological factors, as antecedents to end-users’ continuance intention of the robo-advisor have been examined and this study’s results strongly support the research model with all hypothesized links being significant.Originality/valueIt is particularly worth mentioning that a synthetic post-adoption model can be proposed in this study by introducing the fit factor extracted from task-technology fit model, network factors originated from the theory of network externalities and psychological factors derived from uses and gratifications theory as antecedents to perceived usefulness, confirmation, satisfaction and continuance intention referred in ECM and flow experience derived from flow theory. Thus, this study’s research model and findings can reveal deep insights into the evaluation of determinants in the field of end-users’ continuance intention of the robo-advisor.
Kybernetes – Emerald Publishing
Published: Jul 6, 2021
Keywords: Structural equation modeling; Uses and gratifications theory; Continuance intention; Expectation-confirmation model; Task-technology fit model; Theory of network externalities; Flow theory; The robo-advisor
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