H萎N CH蔭 C曳A NGHIÊ NC 永W"XÉ"J姶閏 NG NGHIÊN C永U

Một phần của tài liệu Vai trò sự thấu hiểu công nghệ đến ý định tiếp tục sử dụng thiết bị sức khỏe cá nhân (Trang 87 - 104)

Trong quá trình th詠c hi羽p"8隠 tài, nghiên c泳u khơng th吋 tránh kh臼k"8逢嬰c nh英ng h衣n ch院 ch栄 quan và khách quan:

‚ H衣n ch院 v隠 vi羽c l医y m磯u ng磯u nhiên thu壱n ti羽n phi xác xu医t. Vi羽c l医y m磯u ng磯u nhiên thu壱n ti羽n phi xác xu医t cĩ th吋mj»pi"8衣i di羽p"8逢嬰c cho t鰻ng th吋, khi m磯u mj»pi"8欝pi"8隠u v隠 các nhĩm gi噂k"v pj."8瓜 tu鰻i, ngh隠 nghi羽rÈ"

‚ Thi院t k院 phi院u kh違q"uƒv"ej逢c"vj壱t s詠 t嘘t d磯p"8院n ph違i lo衣i nhi隠u bi院n quan sát khi ki吋o"8鵜pj"8瓜 tin c壱ỵ

Bên c衣pj"8„."mjk"vj詠c hi羽n kh違q"uƒv."8吋zƒe"8鵜pj"8逢嬰c nh英pi"pi逢運k"vj逢運pi"8«"jq員e"8cpi" s穎 d映ng thi院t b鵜 s泳c kh臼e cá nhân Ỵ x”pi"vc{"vj»pi"okpj18欝ng h欝 thơng minh, tác gi違 vj逢運ng thu th壱p m磯u t瑛 các thành viên trong câu l衣c b瓜 ch衣y."i{ọ"{qicÈ"*pj英pi"pi逢運i

vj逢運ng xuyên s穎 d映ng thi院t b鵜 này) nên d磯p"8院n cĩ th吋 cĩ s詠 sai l羽ch nh臼 v隠 k院t qu違 nghiên c泳ụ

S詠 th医u hi吋w"8«"8逢嬰c r医t nhi隠u các bài nghiên c泳w"pj逢pi"ƒr"f映pi"vtqpi"n pj"x詠c cơng ngh羽 thơng tin hi羽n nay khơng quá nhi隠w0"Fq"8„."j逢噂ng nghiên c泳u ti院p theo cĩ th吋 áp d映ng s詠 th医u hi吋u cơng ngh羽 này 荏 m瓜t s嘘 thi院t b鵜 cơng ngh羽 thơng minh khác ch鰯ng h衣n nj逢"8k羽n tho衣i thơng minh, máy tính b違pị"oƒ{"v pjÈx噂k"eƒe"8員e"8k吋m cơng ngh羽 thơng tin khác nhaụ Ví d映 pj逢"zgo"zfiv"eƒe"vj逢挨pi"jk羽u cơng ngh羽 thi院t b鵜 cơng ngh羽 vj»pi"vkp"8«"違pj"j逢荏pi"8院n s詠 th医u hi吋u cơng ngh羽pj逢"vj院 nào và t瑛 s詠 th医u hi吋u cơng ngh羽 c栄a pi逢運k"e„"vƒe"8瓜pi"8院p"#"8鵜nh truy隠n mi羽ng (WOM) tích c詠e"jc{"mj»pi"*pj逢" trong nghiên c泳u vai trị c栄a s詠 th医u hi吋u cơng ngh羽 8院n hành vi h壱u ch医p nh壱n c栄a Guocgkn¦cfgj"*4242+"e„"8隠 c壱r"8院n gi違 thuy院t này). Ho員e"e pi"e„"vj吋 so sánh các tác 8瓜ng c栄a tình tr衣ng s泳c kh臼e c映 th吋 (ví d映, s詠鰻p"8鵜nh v隠 s泳c kh臼e th吋 ch医t và tinh th亥n) 8吋 làm rõ xem vi羽c thi院u 鰻p"8鵜nh v隠 s泳c kh臼e th吋 ch医t và tinh th亥n cĩ th吋 gây ra nh英ng 違pj"j逢荏pi"mjƒe"pjcw"8院n danh tính cơng ngh羽 và m嘘i quan h羽 c栄a nĩ v噂i s詠 th医u hi吋u cơng ngh羽 hay khơng. Ngồi ra, cĩ th吋zgo"zfiv"eƒe"8員e"8k吋m c栄a thi院t b鵜 s泳c kh臼e cá nhân cĩ 違pj"j逢荏pi"8院n danh tính cơng ngh羽pj逢"pijk‒p"e泳u c栄a Esmaeilzadeh (2020) v隠 cách danh tính cơng ngh羽 vƒe"8瓜pi"8院n hành vi s穎 d映ng c栄c"pi逢運i dùng thi院t b鵜 s泳c kh臼e cá nhân

TÀI LIU THAM KHO

Ramiller, N. C., & Swanson, Ẹ B. (2004). Innovating mindfully with information technologỵ MIS Quarterly, 28(4), 553-583. doi:10.2307/25148655

Anderson, N. H. (1981). Foundations of information integration. Where: Academic Press.

Attig , C., & Franke , T. (2020). Abandonment of personal quantification: a review and empirical study investigating reasons for wearable activity tracking attrition. Comput Hum Behav, 102, 223-237.

Balapour, Ạ, Reychav, Ị, Sabherwal, R., & Azuri, J. (2019). Mobile technology identity and self-efficacy: implications for the adoption of clinically supported mobile health apps. International Journal of Information Management, 49, 58-68. doi:10.1016/j.ijinfomgt.2019.03.005

BCC Research. (2016). Wearable computing: Technologies, applications and global markets. Retrieved from Web Site<" yyy0tgrqtvnkpmgt0eqo1" r242648:6佻 summary/Weatcdng佻Eqorwvkpi佻Vgejpqnqikgu佻Crrnkecvkqpu佻" cpf佻Inqdcn佻 Markets.html

Beck, R., & Dernbecher, S. (2017). The concept of mindfulness in information systems research: a multi-dimensional analysis. European Journal of Information Systems, 26(2), 121-142.

Card, S. K. (2018). The Psychology of Human-Computer Interaction. Where: CRC Press. Carter, M., & Grover, V. (2015). Me, my self, and I(T): conceptualizing information

technology identity and its implications. MIS Quater, 39, 931-957. doi:10.25300/misq/2015/39.4.9

Carter, M., Grover, V., & Thatcher, J. B. (2013). Strategy, Adoption, and Competitive Advantage of Mobile Services in the Global Economỵ Where: IGI Global. Carter, M., Petter, S., & Compeau, D. (2019). Identifying with IT in a Digital World.

ICIS, 32.

Collier, J. Ẹ, & Bienstock, C. C. (2014). Model misspecification: contrasting formative and reflective indicators for a model of e-servicẹ Journal of Marketing Theory and Practice, 17, 283-293. doi:10.2753/mtp1069-6679170306

Coltman, T., Venaik, S., Deviney, T. M., & Midgley, D. F. (2008). Formative versus reflective measurement models: two applications of formative measurement. Journal of Business Research, 61, 1250-1262.

Dehghani, M. (2018). Exploring the motivational factors on continuous. Behaviour & Information Technology, 37(2), 145-158. doi:10.1080/0144929X.2018.1424246 Esmaeilzadeh, P. (2020). How fqgu" KV" kfgpvkv{" chhgev" kpfkxkfwcnuĨ" wug" dgjcxkqtu"

associated with personal health devices (PHDs)? An empirical studỵ Information & Management, 58(1). doi:10.1016/j.im.2020.103313

Esmaeilzadeh, P. (2020). The Role of Information Technology Mindfulness in the Postadoption Stage of Using Personal Health Devices: Cross-Sectional Questionnaire Study in Mobile Health. JMIR Mhealth Uhealth, 8(10). doi:10.2196/18122

Eysenck, H. J. (2013). The structure of human personality (Psychology Revivals) (1st Ed.). London: Routledgẹ doi:10.4324/9780203753439

Gupta, Ạ, Yousaf, Ạ, & Mishra, Ạ (2020). How pre- adoption expectancies shape post- adoption continuance intentions: An extended expectation-confirmation model.

International Journal of Information Management, 52.

Hair, F. Ạ (1998). Multivariate data analysis (5 Ed.). NJ: Prentice-Hall.

Hülsheger, Ụ R. (2013). Benefits of mindfulness at work: the role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. Journal of applied psychology, 98(2), 310-325.

Ioannou, Ạ (2017). Using IT Mindfulness to Mitigate the Negative Consequences of Technostress. Conference: 23rd Americas Conference of Information Systems (AMCIS 2017), Boston, Massachusetts, United States.

Kemper, T., & Collins, R. (1990). Dimensions of microinteraction. American Journal of Sociology, 96(1), 32-68. Retrieved from http://www.jstor.org/stable/2780692 Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet:

An empirical investigation. Decision Support Systems, 43(1), 111-126. doi:10.1016/j.dss.2005.05.009.

Langer, Ẹ J. (1989). Minding matters: the consequences of mindlessness. Academic Press, 22, 137-173. doi:10.1016/S0065-2601(08)60307-X

Langer, J. Ẹ, & Imber, L. (1980). Role of mindlessness in the perception of deviancẹ Journal of Personality and Social Psychology, 39(3), 360-367. doi:10.1037/0022- 3514.39.3.360

Limayem, M., Hirt , S., & Cheung , C. (2007). How habit limits the predictive power of intention: the case of information systems. MIS Quarterly, 31(4), 705-737. doi:10.2307/25148817

Ling , R. (2014). From ubicomp to ubiex (pectations). Telematics and Informatics, 31(2), 173-183. doi:10.1016/j.telẹ2013.09.001

Maier, C., Laumer, S., Wirth, J., & Weitzel, T. (2019). Technostress and the hierarchical levels of personality: a two-wave study with multiple data samples. European

Journal of Information Systems, 28(5), 496-522. doi:10.1080/0960085X.2019.1614739

Mcmillan, S. J., & Morrison, M. (2006). Coming of age with the internet: A qualitative exploration of how the internet has become an ipvgitcn"rctv"qh"{qwpi"rgqrngĨu" lives. New media & society, 8(1). doi:10.1177/1461444806059871

Metcalf , D., Milliard , S., Gomez , M., & Schwartz, M. (2016). Wearables and the internet of things for health: wearable, interconnected devices promise more efficient and comprehensive health carẹ IEEE Pulse, 7(5), 35-39. doi:10.1109/MPUL.2016.2592260

Peter, G., & Brian, B. (2006). Reliability, mindfulness, and information systems. MIS Quarterly, 30, 211-224. doi:10.2307/25148728

Piwek , L., Ellis , D., Andrews, S., & Joinson, Ạ (2016). The rise of consumer health

wearables: promises and barriers. PLoS medicine, 13(2).

doi:10.1371/journal.pmed.1001953

Polites, G. L., Roberts, N., & Thatcher, J. (2017). Conceptualizing models using multidimensional constructs: a review and guidelines for their usẹ European Journal of Information Systems, 21(1), 22-48. doi:10.1057/ejis.2011.10

Pradeepkumar, C., & Vivekanandan, K. (2020). Role of IT Mindfulness on continuance intention of mobile payment system. SSRG International Journal of Economics and Management Studies, 7(7), 32-43.

Quinnell, R., Thompson, R., & LeBard, R. (2013). It's not maths; it's science: Exploring thinking dispositions, learning thresholds and mindfulness in science learning. International Journal of Mathematical Education in Science and Technology, 44(6), 808-816. doi:10.1080/0020739X.2013.800598

Raven, B., John, R. P., & French, J. (1959). The Bases of Social Power (Vol. 6). Univeristy of Michigan, Institute for Social Research.

Research and Market.com. (2020). Business wirẹ Retrieved from Global Wearable Healthcare Devices Industry (2020 to 2025) - Increasing Adoption of AI and 5G

Presents Opportunities - ResearchAndMarkets.com:

https://www.businesswirẹcom/news/home/20200519005572/en/Global- Wearable-Healthcare-Devices-Industry-2020-2025

Research, BCC. (2016). Wearable computing: Technologies, applications and global markets0" Tgvtkgxgf" htqo" yyy0tgrqtvnkpmgt0eqo1" r242648:6佻 uwooct{1Ygctcdng佻Eqorwvkpi佻Vgejpqnqikgu佻Crrnkecvkqpu佻" cpf佻Inqdcn佻 Markets.html

Reychav, Ị, Beeri, R., Balapour, Ạ, Sabherwal, R., Azuri, J., & Ranban, R. (2019). How reliable are self-assessments using mobile technology in healthcarẻ The effects of technology identity and self-efficacỵ Computers in Human Behavior, 91, 52- 61. doi:10.1016/j.chb.2018.09.024

Salah, H., MacIntosh, Ẹ, & Rajakulendran, N. (2014). Wearable tech: Leveraging Canadian innovation to improve health. Where: MaRS Discovery District. Silva, B. M., Rodrigues, J. J., de la Torre Díez, Ị, Lĩpez-Coronado, M., & Saleem, K.

(2015). Mobile-health: a review of current state in 2015. Journal of Biomedical Informatics, 56, 265-272.

Sternberg, R. J. (2000). Images of mindfulness. Journal of Social Issues, 56(1), 11-26. doi:10.1111/0022-4537.00149

Sun, H. (2011). Making sound adoption decisions: a longitudinal study of mindfulness in technology adoption and continued usẹ ICIS 2011 Proceedings. Retrieved from https://aisel.aisnet.org/icis2011/proceedings/hci/2

Sun, H. (2012). Understanding user revisions when using information system features: adaptive system use and triggers. MIS Quarterly, 36(2), 453-478. doi:10.2307/41703463

Sun, H., & Fang, Ỵ (2010). Toward a Model of Mindfulness in Technology Acceptancẹ Conference: Proceedings of the international Conference on Information Systems, ICIS 2010 Proceedings, Saint Louis, Missouri, United States.

Sun, H., Fang, Ỵ, & Zou, H. (2016). Choosing a fit technology: understanding mindfulness in technology adoption and continuancẹ AIS Journals, 17, 377- 412. doi:10.17705/1jais.00431

Sun, N., & Rau , P. (2015). The acceptance of personal health devices among patients with chronic conditions. International journal of medical informatics, 84(4), 288- 297. doi:10.1016/j.ijmedinf.2015.01.002

Thatcher, J. B., Sun, H., Zagenczyk, T., & Klein, R. (2018). Mindfulness in Information Technology Use: Definitions, Distinctions, and a New measurẹ MIS Quarterly, 42, 831Ỵ848. doi:10.25300/MISQ/2018/11881

Th栄y, N. (2020, 07 20). Th vt⇔ぜng thit b 8gq"vj»pi"okpj"v<pi"vt⇔ぞng ngon mc. Retrieved from https://nhipcaudautụvn/cong-nghe/thi-truong-thiet-bi-deo- thong-minh-tang-truong-ngoan-muc-3336144/

Turel, Ọ, Serenko, Ạ, & Bontis, N. (2011). Family and work-related consequences of ađiction to organizational pervasive technologies. Information & Management, 48(2-3), 88-95. doi:10.1016/j.im.2011.01.004

Utz, S. (2015). The function of self-disclosure on social network sites: not only intimate, but also positive and entertaining self-disclosures increase the feeling of

connection. Computers in Human Behavior, 45, 1-10.

Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management science, 46, 186-204. doi:10.1287/mnsc.46.2.186.11926

Venkatesh, V., Morris, M. G., Davis, F. D., & Davis, G. B. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478. doi:10.2307/30036540

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technologỵ MIS quarterly, 36(1), 157-178. doi:10.2307/41410412

Wang, C., Teo, T., & Liu, L. (2020). Perceived value and continuance intention in mobile

government service in Chinạ Telematics and Informatics, 48.

doi:10.1016/j.telẹ2020.101348

Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF.

International journal of medical informatics, 139.

doi:10.1016/j.ijmedinf.2020.104156

Warshaw, P. R. (1980). A New Model for Predicting Behavioral Intentions: An Alternative to Fish-bein. Journal of marketing research, 17(2), 153-172. doi:10.1177/002224378001700201

Ramiller, N. C., & Swanson, Ẹ B. (2004). Innovating mindfully with information technologỵ MIS Quarterly, 28(4), 553-583. doi:10.2307/25148655

Attig , C., & Franke , T. (2020). Abandonment of personal quantification: a review and empirical study investigating reasons for wearable activity tracking attrition. Comput Hum Behav, 102, 223-237.

Balapour, Ạ, Reychav, Ị, Sabherwal, R., & Azuri, J. (2019). Mobile technology identity and self-efficacy: implications for the adoption of clinically supported mobile health apps. International Journal of Information Management, 49, 58-68. doi:10.1016/j.ijinfomgt.2019.03.005

BCC Research. (2016). Retrieved from Wearable computing: Technologies, applications cpf" inqdcn" octmgvu<" yyy0tgrqtvnkpmgt0eqo1" r242648:6佻uwooct{1Ygctcdng佻 Compwvkpi佻Vgejpqnqikgu佻Crrnkecvkqpu佻"cpf佻Inqdcn佻Octmgvu0jvon

Beck, R., & Dernbecher, S. (2017). The concept of mindfulness in information systems research: a multi-dimensional analysis. European Journal of Information Systems, 26:2, 121-142.

Card, S. K. (2018). The Psychology of Human-Computer Interaction. CRC Press. Carter, M., & Grover, V. (2015). Me, my self, and I(T): conceptualizing information

technology identity and its implications. MIS Quater, 39, 931-957. doi:10.25300/misq/2015/39.4.9

Carter, M., Grover, V., & Thatcher, J. B. (2013). Strategy, Adoption, and Competitive Advantage of Mobile Services in the Global Economỵ IGI Global.

Carter, M., Petter, S., & Compeau, D. (2019). Identifying with IT in a Digital World. ICIS, 32.

Collier, J. Ẹ, & Bienstock, C. C. (2014). Model misspecification: contrasting formative and reflective indicators for a model of e-servicẹ Journal of Marketing Theory and Practice, 17, 283-293. doi:10.2753/mtp1069-6679170306

Coltman, T., Venaik, S., Deviney, T. M., & Midgley, D. F. (2008). Formative versus reflective measurement models: two applications of formative measurement. Journal of Business Research, 61, 1250-1262.

Dehghani, M. (2018). Exploring the motivational factors on continuous. Behaviour & Information Technology, 37:2, 145-158. doi:10.1080/0144929X.2018.1424246 Guocgkn¦cfgj." R0" *4242+0" Jqy" fqgu" KV" kfgpvkv{" chhgev" kpfkxkfwcnuĨ" wug" dgjcxkqtu"

associated with personal health devices (PHDs)? An empirical studỵ Information & Management, 58(1). doi:10.1016/j.im.2020.103313

Esmaeilzadeh, P. (2020). The Role of Information Technology Mindfulness in the Postadoption Stage of Using Personal Health Devices: Cross-Sectional Questionnaire Study in Mobile Health. JMIR Mhealth Uhealth, 8(10). doi:10.2196/18122

Eysenck, H. J. (2013). The structure of human personality (Psychology Revivals) (1st Edition ed.). London: Routledgẹ doi:10.4324/9780203753439

Gupta, Ạ, Yousaf, Ạ, & Mishra, Ạ (2020). How pre- adoption expectancies shape post- adoption continuance intentions: An extended expectation-confirmation model.

International Journal of Information Management, 52.

doi:10.1016/j.ijinfomgt.2020.102094

Hair, F. Ạ (1998). Multivariate data analysis (5 ed.). NJ: Prentice-Hall.

Hülsheger, Ụ R. (2013). Benefits of mindfulness at work: the role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. Journal of applied psychology, 98(2), 310-325.

Ioannou, Ạ (2017). Using IT Mindfulness to Mitigate the Negative Consequences of Technostress. Boston.

Kemper, T., & Collins, R. (1990). Dimensions of microinteraction. American Journal of Sociology, 96(1), 32-68. Retrieved from http://www.jstor.org/stable/2780692 Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet:

An empirical investigation. Decision Support Systems, 43(1), 111-126. doi:10.1016/j.dss.2005.05.009.

Langer, Ẹ J. (1989). Minding matters: the consequences of mindlessness. Academic Press, 22, 137-173. doi:10.1016/S0065-2601(08)60307-X

Langer, J. Ẹ, & Imber, L. (1980). Role of mindlessness in the perception of deviancẹ Journal of Personality and Social Psychology, 39(3), 360-367. doi:10.1037/0022- 3514.39.3.360

Limayem, M., Hirt , S., & Cheung , C. (2007). How habit limits the predictive power of intention: the case of information systems. MIS Quarterly, 31(4), 705-737. doi:10.2307/25148817

Ling , R. (2014). From ubicomp to ubiex (pectations). Telematics and Informatics, 31(2), 173-183. doi:10.1016/j.telẹ2013.09.001

Maier, C., Laumer, S., Wirth, J., & Weitzel, T. (2019). Technostress and the hierarchical levels of personality: a two-wave study with multiple data samples. European

Journal of Information Systems, 28(5), 496-522.

doi:10.1080/0960085X.2019.1614739

Mcmillan, S. J., & Morrison, M. (2006). Coming of age with the internet: A qualitative exploration of how the internet has become an integral part qh"{qwpi"rgqrngĨu" lives. New media & society, 8(1). doi:10.1177/1461444806059871

Metcalf , D., Milliard , S., Gomez , M., & Schwartz, M. (2016). Wearables and the internet of things for health: wearable, interconnected devices promise more

efficient and comprehensive health carẹ IEEE Pulse, 7(5), 35-39. doi:10.1109/MPUL.2016.2592260

Peter, G., & Brian, B. (2006). Reliability, mindfulness, and information systems. MIS Quarterly, 30, 211-224. doi:10.2307/25148728

Piwek , L., Ellis , D., Andrews, S., & Joinson, Ạ (2016). The rise of consumer health

wearables: promises and barriers. PLoS medicine, 13(2).

doi:10.1371/journal.pmed.1001953

Polites, G. L., Roberts, N., & Thatcher, J. (2017). Conceptualizing models using multidimensional constructs: a review and guidelines for their usẹ European Journal of Information Systems, 21(1), 22-48. doi:10.1057/ejis.2011.10

Pradeepkumar, C., & Vivekanandan, K. (2020). Role of IT Mindfulness on continuance intention of mobile payment system. SSRG International Journal of Economics and Management Studies, 7(7), 32-43.

Quinnell, R., Thompson, R., & LeBard, R. (2013). It's not maths; it's science: Exploring thinking dispositions, learning thresholds and mindfulness in science learning. International Journal of Mathematical Education in Science and Technology, 44(6), 808-816. doi:10.1080/0020739X.2013.800598

Raven, B., John, R. P., & French, J. (1959). The Bases of Social Power (Vol. 6). Univeristy of Michigan, Institute for Social Research.

Research and Market.com. (2020). Business wirẹ Retrieved from Global Wearable Healthcare Devices Industry (2020 to 2025) - Increasing Adoption of AI and 5G

Presents Opportunities - ResearchAndMarkets.com:

https://www.businesswirẹcom/news/home/20200519005572/en/Global- Wearable-Healthcare-Devices-Industry-2020-2025

Research, BCC. (2016). Wearable computing: Technologies, applications and global markets0" Tgvtkgxgf" htqo" yyy0tgrqtvnkpmgt0eqo1" r242648:6佻 uwooct{1Ygctcdng佻Eqorwvkpi佻Vgejpqnqikgu佻Crrnkecvkqpu佻" cpf佻Inqdcn佻 Markets.html

Reychav, Ị, Beeri, R., Balapour, Ạ, Sabherwal, R., Azuri, J., & Ranban, R. (2019). How reliable are self-assessments using mobile technology in healthcarẻ The effects of technology identity and self-efficacỵ Computers in Human Behavior, 91, 52- 61. doi:10.1016/j.chb.2018.09.024

Salah, H., MacIntosh, Ẹ, & Rajakulendran, N. (2014). Wearable tech: Leveraging Canadian innovation to improve health. MaRS Discovery District.

Silva, B. M., Rodrigues, J. J., de la Torre Díez, Ị, Lĩpez-Coronado, M., & Saleem, K. (2015). Mobile-health: a review of current state in 2015. Journal of Biomedical Informatics, 56, 265-272.

Sternberg, R. J. (2000). Images of mindfulness. Journal of Social Issues. doi:10.1111/0022-4537.00149

Sun, H. (2011). Making sound adoption decisions: a longitudinal study of mindfulness in technology adoption and continued usẹ ICIS 2011 Proceedings. Retrieved from https://aisel.aisnet.org/icis2011/proceedings/hci/2

Sun, H. (2012). Understanding user revisions when using information system features: adaptive system use and triggers. MIS Quarterly, 36(2), 453-478. doi:10.2307/41703463

Sun, H., & Fang, Ỵ (2010). Toward a Model of Mindfulness in Technology Acceptancẹ ICIS 2010 Proceedings, 121.

Sun, H., Fang, Ỵ, & Zou, H. (2016). Choosing a fit technology: understanding mindfulness in technology adoption and continuancẹ AIS Journals, 17, 377- 412. doi:10.17705/1jais.00431

Sun, N., & Rau , P. (2015). The acceptance of personal health devices among patients with chronic conditions. International journal of medical informatics, 84(4), 288-

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