Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Islam (2016)
E-learning system use and its outcomes: Moderating role of perceived compatibilityTelematics Informatics, 33
N. Mallat, M. Rossi, V. Tuunainen, Anssi Öörni (2009)
The impact of use context on mobile services acceptance: The case of mobile ticketingInf. Manag., 46
A. Bussu, Claudio Detotto, Valerio Sterzi (2013)
Social conformity and suicideJournal of Socio-economics, 42
Shih‐Chih Chen, D. Yen, M. Hwang (2012)
Factors influencing the continuance intention to the usage of Web 2.0: An empirical studyComput. Hum. Behav., 28
Lin He, Mingxian Wang, Wei Chen, G. Conzelmann (2012)
Incorporating Social Impact on New Product Adoption in Choice Modeling: A Case Study in Green Vehicles
S. Liao, Y. Shao, Huaiqing Wang, A. Chen (1999)
The adoption of virtual banking: an empirical studyInternational Journal of Information Management, 19
L. Vijayasarathy (2004)
Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance modelInf. Manag., 41
Dongnyok Shim, Jin Kim, J. Altmann (2016)
Identifying key drivers and bottlenecks in the adoption of E-book readers in KoreaTelematics Informatics, 33
Teresa Correa, A. Hinsley, H. Zúñiga (2010)
Who interacts on the Web?: The intersection of users' personality and social media useComput. Hum. Behav., 26
Kuo-Lun Hsiao (2013)
Android smartphone adoption and intention to pay for mobile internet: Perspectives from software, hardware, design, and valueLibr. Hi Tech, 31
Jai-Yeol Son, I. Benbasat (2007)
Organizational Buyers' Adoption and Use of B2B Electronic Marketplaces: Efficiency- and Legitimacy-Oriented PerspectivesJournal of Management Information Systems, 24
I. Zigurs, B. Buckland (1998)
A Theory of Task/Technology Fit and Group Support Systems EffectivenessMIS Q., 22
E. See-To, Kevin Ho (2014)
Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust - A theoretical analysisComput. Hum. Behav., 31
P. Kitchen, Anastasios Panopoulos (2010)
Online public relations: The adoption process and innovation challenge, a Greek examplePublic Relations Review, 36
Susan Holak (1988)
Determinants of innovative durables adoption an empirical study with implications for early product screeningJournal of Product Innovation Management, 5
T. Hennig-Thurau, K. Gwinner, G. Walsh, Dwayne Gremler (2004)
Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?Journal of Interactive Marketing, 18
Donghyung Kim, Anthony Ammeter (2014)
Predicting personal information system adoption using an integrated diffusion modelInf. Manag., 51
Yair Amichai-Hamburger, Gideon Vinitzky (2010)
Social network use and personalityComput. Hum. Behav., 26
Hsi-Peng Lu, Yi-Wen Yang (2014)
Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fitComput. Hum. Behav., 34
I. Chang, Pei-Chin Chou, R. Yeh, Hsiao-Ting Tseng (2016)
Factors influencing Chinese tourists' intentions to use the Taiwan Medical Travel AppTelematics Informatics, 33
Subin Im, B. Bayus, Charlotte Mason (2003)
An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behaviorJournal of the Academy of Marketing Science, 31
James McElroy, Anthony Hendrickson, A. Townsend, S. DeMarie (2007)
Dispositional Factors in Internet Use: Personality Versus Cognitive StyleMIS Q., 31
Vernon Allen (1966)
Effect of knowledge of deception on conformity.The Journal of social psychology, 69 1
H. Yoon, L. Steege (2013)
Development of a quantitative model of the impact of customers' personality and perceptions on Internet banking useComput. Hum. Behav., 29
Lei-da Chen, R. Nath (2004)
A framework for mobile business applicationsInt. J. Mob. Commun., 2
Tourism Management, 29
S. Nadkarni, Reetika Gupta (2007)
A Task-Based Model of Perceived Website ComplexityMIS Q., 31
Ching-Chang Lee, H. Cheng, Hui-Hsin Cheng (2007)
An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differencesDecis. Support Syst., 43
Sunghun Chung, Kyung Lee, Jinho Choi (2015)
Exploring digital creativity in the workspace: The role of enterprise mobile applications on perceived job performance and creativityComput. Hum. Behav., 42
P. Costa, R. McCrae (1992)
Normal Personality Assessment in Clinical Practice: The NEO Personality Inventory.Psychological Assessment, 4
(2014)
xtending the understanding of mobile banking adoption : When TAUT meets TTF and ITM
Susan Holak (1988)
Determinants of Innovative Durables AdoptionJournal of Product Innovation Management, 5
Dianne Cyr, Milena Head, Alex Ivanov (2006)
Design aesthetics leading to m-loyalty in mobile commerceInf. Manag., 43
Rick Busselle, J. Reagan, B. Pinkleton, Kim Jackson (1999)
Factors affecting Internet use in a saturated-access populationTelematics Informatics, 16
Cheng-Hsun Ho, Wenchieh Wu (2011)
Role of Innovativeness of Consumer in Relationship between Perceived Attributes of New Products and Intention to AdoptInt. J. Electron. Bus. Manag., 9
Tao Zhou, Yao-bin Lu, Bin Wang (2010)
Integrating TTF and UTAUT to explain mobile banking user adoptionComput. Hum. Behav., 26
A CROSS-CULTURAL STUDY ON ESCALATION OF COMMITMENT BEHAVIOR IN SOFTWARE
M. Rosenbaum, Carolyn Massiah (2007)
When Customers Receive Support From Other Customers: Exploring the Influence of Intercustomer Social Support on Customer Voluntary PerformanceJournal of Service Research, 9
P. Rauschnabel, A. Brem, B. Ivens (2015)
Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearablesComput. Hum. Behav., 49
S. Litvin, R. Goldsmith, B. Pan (2017)
A retrospective view of electronic word-of-mouth in hospitality and tourism managementInternational Journal of Contemporary Hospitality Management, 30
Ki Kim, Donghee Shin (2015)
An acceptance model for smart watches: Implications for the adoption of future wearable technologyInternet Res., 25
A. Citrin, David Sprott, Steven Silverman, D. Stem (2000)
Adoption of Internet shopping: the role of consumer innovativenessInd. Manag. Data Syst., 100
Jaewon Choi, Seongcheol Kim (2016)
Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatchesComput. Hum. Behav., 63
O. John, S. Srivastava (1999)
The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.
G. Said (2015)
Understanding Knowledge Management System antecedents of performance impact: Extending the Task-technology Fit Model with intention to share knowledge constructFuture Business Journal, 1
Wynne Chin, Barbara Marcolin, P. Newsted (2003)
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption StudyInf. Syst. Res., 14
Transportation Research Part D: Transport and Environment, 32
Qiuju Luo, Dixi Zhong (2015)
Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites.Tourism Management, 46
Parul Nanda, J. Bos, Kem-Laurin Kramer, Catharine Hay, J. Ignacz (2008)
Effect of smartphone aesthetic design on users' emotional reaction: An empirical studyThe Tqm Journal, 20
D. Goodhue, Ronald Thompson (1995)
Task-Technology Fit and Individual PerformanceMIS Q., 19
K. Lyytinen, Youngjin Yoo (2002)
Research Commentary: The Next Wave of Nomadic ComputingInf. Syst. Res., 13
M. Keil, B. Tan, K. Wei, T. Saarinen, V. Tuunainen, A. Wassenaar (2000)
A Cross-Cultural Study on Escalation of Commitment Behavior in Software ProjectsMIS Q., 24
Carlos Tam, T. Oliveira (2016)
Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspectiveComput. Hum. Behav., 61
S. Li (2014)
Adoption of three new types of computers in Taiwan: Tablet PCs, netbooks, and smart phonesComput. Hum. Behav., 35
S. Butt, J. Phillips (2008)
Personality and self reported mobile phone useComput. Hum. Behav., 24
G. Agag, Ahmed El-Masry (2016)
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trustComput. Hum. Behav., 60
Tel Amiel, S. Sargent (2004)
Individual differences in Internet usage motivesComput. Hum. Behav., 20
Tung-Ching Lin, Chien-Chih Huang (2008)
Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fitInf. Manag., 45
(2016)
28% of Americans are ‘strong’ early adopters of technology
Sejin Ha, L. Stoel (2009)
Consumer e-shopping acceptance: Antecedents in a technology acceptance modelJournal of Business Research, 62
E. Rogers (1964)
Diffusion of innovationsEncyclopedia of Sport Management
PurposeThe purpose of this study is twofold. First, an integrated model will be developed based on task-technology fit, innovation diffusion theory and the new product adoption model in order to explore the factors that affect smartwatch adoption. Second, the differences in the factors that affect users’ intention to adopt the Apple Watch and other smartwatches will be examined.Design/methodology/approachThe data for this study were collected via an online survey questionnaire. The responses of 341 potential adopters of smartwatches were used to test the hypotheses in the research model. The casual model was assessed using partial least squares techniques.FindingsThe model can account for more than 50 percent of the variance in adoption intention. The research results affirm prior findings that perceived product attributes have relatively strong influence on adoption intention. Among these attributes, relative advantage has the strongest effect. Moreover, this study revealed differences between the antecedents of Apple watches and those of non-Apple watches.Practical implicationsThe insights provided by this study can help smartwatch providers formulate better growth strategies. The findings also provide some directions for further development.Originality/valueThis study provides a better understanding of how the factors in the theories influence the adoption intentions of Apple watches and non-Apple watches.
Library Hi Tech – Emerald Publishing
Published: Mar 20, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.