本研究以新型冠狀病毒肺炎的為發展背景及不確定性管理理論作為研究框架。對於大多數人來說，視視訊會議是一種難得的體驗，如果沒有準備，大多數人無法立即適應，這不僅是因為工作方式的改變，還因為身體和心理健康問題而增加。在這項研究中，本研究探討了個人於在COVID-19封鎖下之科技創新意識、認知彈性、疫情感染焦慮、線上會議人機互動自我效能、線上會議內容自我效能與工作績效之間的相關性。本研究採用滾雪球抽樣調查，共回收557名辦公人員，進行驗證性因素分析和結構方程模型，並對502名數據進行了驗證。研究結果表明。（1）科技創新意識與疫情感染焦慮負相關；（2）認知彈性與被感染焦慮負相關；（3）疫情感染焦慮與線上會議內容自我效能和線上會議人機互動自我效能負相關；（4）線上會議內容自我效能和線上會議人機互動自我效能與工作績效正相關；（5）疫情感染焦慮與工作績效負相關，由兩種類型的自我效能感所中介的結果。期望，本研究的結果可以應用於那些試圖通過促進員工的科技創新意識和認知彈性來提高在線會議有效性的管理者。

This study takes the development of novel coronavirus pneumonia and the uncertainty management theory as the framework of the study. For most people, video conferencing is a rare experience, and without preparation, most people are unable to adapt immediately, not only because of the change in work style, but also because of increased physical and mental health concerns. In this study, we explored the correlates between individual technological innovativeness, cognitive flexibility, being infected anxiety, self-efficacy in human-computer interaction with online conferencing (SEHCIOC), self-efficacy in online conferencing contents (SEOCC) and video conferencing for job performance under COVID-19 lockdown. In this study, a snowball survey was conducted and a total of 557 office workers were returned and subjected to confirmatory factor analysis and structural equation modeling, and 502 data were validated. The results of the study showed that: (1) technological innovativeness is negatively related to being infected anxiety; (2) cognitive flexibility is negatively related to being infected anxiety; (3) being infected anxiety is negatively related to SEOCC and SEHCIOC; (4) SEOCC and SEHCIOC are positively related to job performance; (5) being infected anxiety is negatively related to job performance mediated by two types of self-efficacies. Expectedly, the results of this study can be applied to those managers who try to increase the effectiveness of online conference by promote employees’ technological innovativeness and cognitive flexibility.

中文部分
余秉祐（2017）。自我效能、情緒勞務與工作績效-以國民中小學教師為例（未出版之碩士論文）。亞洲大學，台中市。
吳明隆、涂金堂（2012）。 SPSS 與統計應用分析（二版）。臺北市: 五南。
吳政峰、陳美紀、李文清（2011）。技專院校經濟學課程「經濟人概念」教學成效之研究。技術及職業教育學報，4（2），45-72。
林香君（2013）。情緒與認知彈性（未出版之碩士論文）。國立臺灣成功大學，台南市。
柯妤姍（2019）。以科技接受模式觀點探討公立幼兒園教師應用網路社群軟體進行親師溝通數位化之研究（未出版之碩士論文）。國立臺灣師範大學，臺北市。
孫志麟（1991）。自我效能的基本概念及其在教育上的應用。教育研究雙月刊，22，47-54。
張春興（1991）。教育心理學—三化取向的理論與實踐。台北市:東華。
陳欣琪、蔣娉華、劉念琪（2018）。科技不確定性工作不安全感與工作壓力：以無疆界職涯傾向為調節變項。東吳經濟商學學報，96，67-97。
黃志灯（2019）。工作狂傾向、工作自我效能、工作集體效能及組織公民行為之研究。管理實務與理論研究，13（2），1-22。
黃家齊、李雅婷、趙慕芬（2014）。組織行為學（15版）。台北市：華泰文化。
趙子揚（2018）。中學生「不確定性考試壓力」模式之驗證（未出版之碩士論文）。國立臺灣師範大學，臺北市。
劉明德（1993）。管理學：競爭優勢。臺北市：桂冠圖書。
樊台聖、李一靜、蔡翌潔（2014）。電腦自我效能影響因素之實證文獻分析。臺中教育大學學報：數理科技類，28（2），1-24。
戴凱欣（2013）。個人特質影響技專學生使用手機學習英文字彙之行為意圖：以學習自我效能、焦慮與後設認知之驗證性研究（未出版之碩士論文）。國立臺灣師範大學，臺北市。
英文部分
Abdel-Khalek, A. M., & Lester, D. (2017). The association between religiosity, generalized self-efficacy, mental health, and happiness in Arab college students. Personality and Individual Differences, 109, 12-16.
Adhikari, S. P., Meng, S., Wu, Y. J., Mao, Y. P., Ye, R. X., Wang, Q. Z., ... & Zhou, H. (2020). Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: A scoping review. Infectious Diseases of Poverty, 9(1), 1-12.
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: Development and initial validation. International Journal of Mental Health and Addiction, 27, 1-9.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Alenezi, A. R., Abdul karim, A. M., & Veloo, A. (2010). An empirical investigation the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students’ intention to use Elearning: A case study from Saudi Arabian governmental universities. The Turkish Online Journal lf Educational Technology, 9(4), 22-34.
Alexander, T., Pfendler, C., Thun, J., & Kleiber, M. (2012). The influence of the modality of telecooperation on performance and workload. Work, 41(1), 3476-3483.
Altman, D. G., & Bland, J. M. (2011). How to obtain the confidence interval from a p value. British Medical Journal, 343, d2090.
Amini, M. T., & Noroozi, R. (2018). Relationship between self-management strategy and self-efficacy among staff of Ardabil disaster and emergency medical management centers. Health in Emergencies and Disasters Quarterly, 3(2), 85-90.
Asgari, H., & Jin, X. (2018). An evaluation of part-day telecommute impacts on work trip departure times. Travel Behaviour and Society, 12, 84-92.
Azlan, C. A., Wong, J. H. D., Tan, L. K., Huri, M. S. N. A., Ung, N. M., Pallath, V., ... & Ng, K. H. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia. Physica Medica, 80, 10-16.
Babrow, A. S., Kasch, C. R., & Ford, L. A. (1998). The many meanings of uncertainty in illness: Toward a systematic accounting. Health communication, 10(1), 1-23.
Balaratnasingam, S., & Janca, A. (2006). Mass hysteria revisited. Current Opinion in Psychiatry, 19(2), 171-174.
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191.
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Clinical and Social Psychology, 4, 359-373.
Bandura, A. (1989). Regulation of cognitive processes through perceived self-ecacy. Developmental Psychology, 25(5), 729-735.
Bandura, A. (1997). Self-efficacy. Journal of Harvard Mental Health Letter, 13(9), 4-6.
Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy Beliefs of Adolescents, 5(1), 307-337.
Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38(1), 9-44.
Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41, 586-598.
Barbey, A. K., Colom, R., & Grafman, J. (2013). Architecture of cognitive flexibility revealed by lesion mapping. Neuroimage, 82, 547-554.
Beas, M. I., & Salanova, M. (2006). Self-efficacy beliefs, computer training and psychological well-being among information and communication technology workers. Computers in Human Behavior, 22(6), 1043-1058.
Beaty, R. E., Benedek, M., Kaufman, S. B., & Silvia, P. J. (2015). Default and executive network coupling supports creative idea production. Scientific Reports, 5(1), 1-14.
Belzunegui-Eraso, A., & Erro-Garcés, A. (2020). Teleworking in the context of the COVID-19 Crisis. Sustainability, 12(9), 3662.
Benessia, A., & De Marchi, B. (2017). When the earth shakes and science with it. The management and communication of uncertainty in the L’Aquila earthquake. Futures, 91, 35-45.
Bensaou, M. & Venkatraman, N. (1995). Configurations of interorganizational elationships: A comparison between U.S. and Japanese automakers, Management Science, 41(9), 1471-1492.
Berggren, N., & Derakshan, N. (2013). Attentional control deficits in trait anxiety: Why you see them and why you don’t. Biological Psychology, 92(3), 440-446.
Bernardo, A. B., & Presbitero, A. (2018). Cognitive flexibility and cultural intelligence: Exploring the cognitive aspects of effective functioning in culturally diverse contexts. International Journal of Intercultural Relations, 66, 12-21.
Beyer, S. (2014). Why are women underrepresented in Computer Science? Gender differences in stereotypes, self-efficacy, values, and interests and predictors of future CS course-taking and grades. Computer Science Education, 24(2-3), 153-192.
Boeuf, B. (2019). The impact of mortality anxiety on attitude toward product innovation. Journal of Business Research, 104, 44-60.
Borman, W. C. (2004). The concept of organizational citizenship. Current Directions in Psychological Science, 13(6), 238-241.
Borman, W. C., & Motowidlo, S. J. (1993). Expanding the criterion domain to include elements of contextual performance. In N. Schmitt & W. C. Borman (Eds.), Personnel selection in organizations (pp. 71-98). San Francisco, CA: Jossey-Bass.
Brashers, D. E. (2001). Communication and uncertainty management. Journal of Communication, 51, 477-497.
Brashers, D. E. (2001). Communication and uncertainty management. Journal of communication, 51(3), 477-497.
Brashers, D. E. (2007). A theory of communication and uncertainty management. In B. Whaley & W. Samter (Ed.), Explaining communication theory (pp. 201-218). Mahwah, NJ: Erlbaum.
Brashers, D. E., Haas, S. M., Klingle, R. S., & Neidig, J. L. (2000). Collective AIDS activism and individuals’ perceived self-advocacy in physician-patient communication. Human Communication Research, 26, 372-402.
Brígido, M., Borrachero, A. B., Bermejo, M. L., & Mellado, V. (2013). Prospective primary teachers’ self-efficacy and emotions in science teaching. European Journal of Teacher Education, 36(2), 200-217.
Brooks, S. (2015). Does personal social media usage affect efficiency and well-being?. Computers in Human Behavior, 46, 26-37.
Bruner, I. I., & Gordon, C. (2012). Marketing scales handbook. GCBII Productions, Pub: Thomson South-Wester
Bylund, C. L., Fisher, C. L., Brashers, D., Edgerson, S., Glogowski, E. A., Boyar, S. R., … & Kissane, D. (2012). Sources of uncertainty about daughters’ breast cancer risk that emerge during genetic counseling consultations. Journal of Genetic Counseling, 21, 292-304.
Byrne, B. M. (2001). Structural equation modeling with Amos: Basic concepts, applications, and programming. London, UK: Routledge.
Caggiano, G., Castelnuovo, E., & Kima, R. (2020). The global effects of COVID-19-induced uncertainty. Economics Letters, 194, 109392.
Campbell, J. P., Gasser, M. B., & Oswald, F. L. (1996). The substantive Nature of job performance variability. Individual Differences and Behavior in Organizations, 258, 299.
Campbell, J. P., McCloy, R. A., Oppler, S. H., & Sager, C. E., (1993). A Theory of Performance. Personnel Selection in Organizations, 3570, 35-70.
Carillo, K., Cachat-Rosset, G., Marsan, J., Saba, T., & Klarsfeld, A. (2020). Adjusting to epidemic-induced telework: Empirical insights from teleworkers in France. European Journal of Information Systems, 25(1), 1-20.
Celik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail & Distribution Management, 39(6), 390-413.
Celik, H. (2016). Customer online shopping anxiety within the unified theory of acceptance and use technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28, 278-307.
Chang, Y., Chien, C., & Shen, L. F. (2020). Telecommuting during the coronavirus pandemic: Future time orientation as a mediator between proactive coping and perceived work productivity in two cultural samples. Personality and Individual Differences, 7, 110508.
Chen, I. S. (2017). Computer self-efficacy, learning performance, and the mediating role of learning engagement. Computers in Human Behavior, 72, 362-370.
Cheng, K. H., & Tsai, C. C. (2011). An investigation of Taiwan University students' perceptions of online academic help seeking, and their web-based learning self-efficacy. The Internet and Higher Education, 14(3), 150-157.
Chiang, Kai-Ming (2012). Study on the relationship of HPWS, psychological contract and job performance of innovative talents (Unpublished doctoral dissertation). State University of Jiaotong, East China.
Chong, M. Y., Wang, W. C., Hsieh, W. C., Lee, C. Y., Chiu, N. M., Yeh, W. C., ... & Chen, C. L. (2004). Psychological impact of severe acute respiratory syndrome on health workers in a tertiary hospital. The British Journal of Psychiatry, 185(2), 127-133.
Cohen, L., Manion, L., Morrison, K., Bell, R., Martin, S., McCulloch, G., & O'Sullivan, C. (2007). Research methods in education (Vol. 6, pp. 461-474). London, UK: Routledge.
Compeau, D. R., & Higgins C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
Coovert, M. D., & Thompson, L. F. (2003). Technology and workplace health. In J. C. Quick & L. E. Tetrick (Eds.), Handbook of occupational health psychology (p.221–241). Washington, DC: American Psychological Association.
Dajani, D. R., & Uddin, L. Q. (2015). Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends in neurosciences, 38(9), 571-578.
Darvishmotevali, M., & Ali, F. (2020). Job insecurity, subjective well-being and job performance: The moderating role of psychological capital. International Journal of Hospitality Management, 87, 102462.
Dawis, R. V., England, G., & Lofquist, L. (2000). Work adjustment theory. Encyclopedia of Psychology, 8, 268-269.
Dawson, P., & Guare, R. (2004). Executive skils in children and adolescents: A practical guide to assessment and intervention. New York, NY: The Guilford Press.
De Clercq, D., Haq, I.U, & Azeem, M.U. (2019). Workplace ostracism and job performance: roles of self-efficacy and job level. Personnel Review, 48(1), 184-203.
Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008). Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly, 32(3), 575-600.
Dennis, J. P., & Vander Wal, J. S. (2010). The cognitive flexibility inventory: Instrument development and estimates of reliability and validity. Cognitive Therapy and Research, 34(3), 241-253.
Dheer, R. J., & Lenartowicz, T. (2019). Cognitive flexibility: Impact on entrepreneurial intentions. Journal of Vocational Behavior, 115, 103339.
Di Martino, V., & Wirth, L. (1990). Telework: A new way of working and living. Int'l International Labour Review, 129, 529.
Diamond, A. (2013). Executive functions. Annual review of psychology, 64, 135-168.
Diamond, A., Barnett, W. S., Thomas, J., & Munro, S. (2007). Preschool program improves cognitive control. Science, 318, 1387-1388.
Donnelly, N., & Proctor-Thomson, S. B. (2015). Disrupted work: Home-based teleworking (HbTW) in the aftermath of a natural disaster. New Technology, Work and Employment, 30(1), 47-61.
Druey, M. D. (2014). Stimulus-category and response-repetition effects in task switching: An evaluation of four explanations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 125.
Emerson, R. W. (2019). Cronbach’s alpha explained. Journal of Visual Impairment & Blindness, 113(3), 327-327.
Evren, C., Evren, B., Dalbudak, E., Topcu, M., & Kutlu, N. (2020). Measuring anxiety related to COVID-19: A Turkish validation study of the Coronavirus Anxiety Scale. Death Studies, 3, 1-7.
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: attentional control theory. Emotion, 7(2), 336.
Fagbule, O. F. (2019). 2019 Novel coronavirus. Annals of Ibadan Postgraduate Medicine, 17(2), 108-110.
Faraj, S., & Azad, B. (2012). The materiality of technology: An affordance perspective. In Leonardi, P. M., Nardi, B. A., & Kallinikos, J. (Eds.), Materiality and organizing: Social interaction in a technological world (pp. 237-258). Oxford, UK: Oxford University Press.
Feng, Z. & Savani, K. (2020). Covid-19 created a gender gap in perceived work productivity and job satisfaction: implications for dual-career parents working from home, Gender in Management, 35 (7/8), 719-736.
Ferran, C., & Watts, S. (2008). Videoconferencing in the field: A heuristic processing model. Management Science, 54(9), 1565-1578.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Frayne, C. A., & Latham, G. P. (1987). Application of social learning theory to employee self-management of attendance. Journal of Applied Psychology, 72(3), 387.
Furlipa, J., & Reich, K. (2018). Behavior change theory taxonomy analysis of smartphone apps for fitness, nutrition, and weight loss: 3092 Board# 8 June 29. Medicine & Science in Sports & Exercise, 50(5S), 758-759.
Gabriel, K. P., & Aguinis, H. (2021). How to prevent and combat employee burnout and create healthier workplaces during crises and beyond. Business Horizons. Retrieved from https://doi.org/10.1016/j.bushor.2021.02.037
Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2009). Cognitive neuroscience: The biology of the mind (3rd ed.). New York, NY: Norton.
Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221.
González-Sanguino, C., Ausín, B., Castellanos, M. Á., Saiz, J., López-Gómez, A., Ugidos, C., & Muñoz, M. (2020). Mental health consequences during the initial stage of the 2020 Coronavirus pandemic (COVID-19) in Spain. Brain, Behavior, and Immunity, 87, 172-176.
Goyal, K., Chauhan, P., Chhikara, K., Gupta, P., & Singh, M. P. (2020). Fear of COVID 2019: First suicidal case in India!. Asian Journal of Psychiatry, 49, 101989.
Green, S. B., & Salkind, N. (2004). Using SPSS for Windows and Macintosh: Analyzing and understanding data (4th ed.). Englewood Cliffs, NJ: Prentice-Hall.
Griffin, M. A., Neal, A., & Parker, S. K. (2007). A new model of work role performance: Positive behavior in uncertain and interdependent contexts. Academy of Management Journal, 50(2), 327-347.
Hacker, J., vom Brocke, J., Handali, J., Otto, M., & Schneider, J. (2020). Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis. European Journal of Information Systems, 29(5), 563-584.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Boston, MA: Cengage.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.
Hatlevik, O. E., Throndsen, I., Loi, M., & Gudmundsdottir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107-119.
Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: implications for high technology product adoption, Journal of Consumer Marketing, 23(4), 182-198.
Hong, J. C., Hwang, M. Y., Hsu, H. F., Wong, W. T., & Chen, M. Y, (2011). Applying the technology acceptance model in a study of the factors affecting usage of the Taiwan digital archives system. Computers & Education, 57, 2086-2094.
Hong, J. C., Hwang, M. Y., Szeto, E., Tai, K. H., & Tsai, C. R.(2020). Undergraduate science students’ scientist–practitioner gap: the role of epistemic curiosity and cognitive flexibility. International Journal of Science and Mathematics Education. Retrieved from https:// doi.org/10.1007/s10763-020-10096-4
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. H. (2019). Improving cognitive certitude with calibration mediated by cognitive anxiety, online learning self-efficacy and interest in learning Chinese pronunciation. Educational Technology Research and Development, 67(3), 597-615.
Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272.
Hong, J. C., Ye, J. H., & Shih, Y. Y. (2019). Positive affect creative self-efficacy on the ability and confidence to predict problem solving avoidance motivation in a digital advertisement design course. Bulletin of Educational Psychology, 51(2), 321-339.
Hsu, L.Y., & Chang, S. (2006). Telework and conventional work: From Chinese perspective. Journal of National Taipei University of Technology, 39(2), 105-124.
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., ... & Cheng, Z. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497-506.
Hui, D. S., Azhar, E. I., Madani, T. A., Ntoumi, F., Kock, R., Dar, O., Ippolito, G., Mchugh, T. D., Memish, Z. A., Drosten, C., Zumla, A. & Petersen, E. (2020). The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health—The latest 2019 novel coronavirus outbreak in Wuhan, China. International Journal of Infectious Diseases, 91, 264-266.
Hwang, M. Y., Hong, J. C., Tai, K. H., Chen, J. T., & Gouldthorp, T. (2020). The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant line users. Government Information Quarterly, 37(1), 1-8.
Igbaria, M., Pavri, F. N., & Huff, S. L. (1989). Microcomputer applications: An empirical look at usage. Information & Management, 16(4), 187-196.
Ilgen, D. R., & Schneider, J. (1991). Performance measurement: A multi-discipline view. International Review of Industrial and Organizational psychology, 6, 71-108.
Janssen, O., & Van Yperen, N. W. (2004). Employees' goal orientations, the quality of leader-member exchange, and the outcomes of job performance and job satisfaction. Academy of Management Journal, 47(3), 368-384.
Jashapara, A., & Tai, W. C. (2006). Understanding the complexity of human characteristics on e-learning systems: An integrated study of dynamic individual differences on user perceptions of ease of use. Knowledge Management Research & Practice, 4(3), 227-239.
Johnco, C., Wuthrich, V. M., & Rapee, R. M. (2015). The impact of late-life anxiety and depression on cognitive flexibility and cognitive restructuring skill acquisition. Depression and Anxiety, 32, 754-762.
Judge, T. A., & Zapata, C. P. (2015). The person–situation debate revisited: Effect of situation strength and trait activation on the validity of the Big Five personality traits in predicting job performance. Academy of Management Journal, 58(4), 1149-1179.
June, S., & Mahmood, R. (2011). The relationship between person-job fit and job performance: A study among the employees of the service sector SMEs in Malaysia. International Journal of Business, Humanities and Technology, 1(2), 95-105.
Kashdan, T. B., & Rottenberg, J. (2010). Psychological flexibility as a fundamental aspect of health. Clinical Psychology Review, 30(7), 865-878.
Katz, D., & Kahn, R. L. (1978). The social psychology of organizations (2th ed.). New York, NY: Wiley.
Kazekami, S. (2020). Mechanisms to improve labor productivity by performing telework. Telecommunications Policy, 44(2), 101868.
Khechine, H. & Lakhal, S. (2018). Technology as a double-edged sword: From behavior prediction with UTAUT to students’ outcomes considering personal characteristics. Journal of Information Technology Education Research, 17, 63-102.
Kloutsiniotis, P. V., & Mihail, D. M. (2020). The effects of high performance work systems in employees’ service-oriented OCB. International Journal of Hospitality Management, 90, 102610.
Kumar, A., & Somani, A. (2020). Dealing with Corona virus anxiety and OCD. Asian Journal of Psychiatry, 51, 102053.
Kurland, N. B., & Bailey, D.E. (1999). When workers are here, there and everywhere: A discussion of the advantages and challenges of telework. Organizational Dynamics, 28, 53-68.
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., ... & Tan, H. (2020). Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA network open, 3(3), e203976-e203976.
Lee, S. A. (2020). Coronavirus Anxiety Scale: A brief mental health screener for COVID-19 related anxiety. Death studies, 44(7), 393-401.
Lee, S. A., Jobe, M. C., Mathis, A. A., & Gibbons, J. A. (2020). Incremental validity of coronaphobia: Coronavirus anxiety explains depression, generalized anxiety, and death anxiety. Journal of Anxiety Disorders, 74, 102268.
Leicht, T., Chtourou, A., & Youssef, K. B. (2018). Consumer innovativeness and intentioned autonomous car adoption. The Journal of High Technology Management Research, 29(1), 1-11.
Leung, G. T., Yucel, G., & Duffy, V. G. (2010). The effects of virtual industrial training on mental workload during task performance. Human Factors and Ergonomics in Manufacturing & Service Industries, 20(6), 567-578.
Li, G., Zhang, R., & Wang, C. (2015). The role of product originality, usefulness and motivated consumer innovativeness in new product adoption intentions. Journal of Product Innovation Management, 32(2), 214-223.
Lim, Y., Park, H., Tessler, H., Choi, M., Jung, G., & Kao, G. (2020). Men and women’s different dreams on the future of the gendered division of paid work and household work after COVID-19 in South Korea. Research in Social Stratification and Mobility, 69, 100544.
Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Journal of Reading & Writing Quarterly, 19(2), 119-137.
Liu, N., Liu, S., Yu, N., Peng, Y., Wen, Y., Tang, J., & Kong, L. (2018). Correlations among psychological resilience, self-efficacy, and negative emotion in acute myocardial infarction patients after percutaneous coronary intervention. Frontiers in Psychiatry, 9, 1.
Liu, S., Yang, L., Zhang, C., Xiang, Y. T., Liu, Z., Hu, S., & Zhang, B. (2020). Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry, 7(4), 17-18.
Liu, Y., Gayle, A. A., Wilder-Smith, A., & Rocklöv, J. (2020). The reproductive number of COVID-19 is higher compared to SARS coronavirus. Journal of Travel Medicine, 27(2), 1-4.
Lu, H., Stratton, C. W., & Tang, Y. W. (2020). Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. Journal of Medical Virology, 92(4), 401-402.
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce?. Internet Research. 24(2), 134-159.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum Associates.
Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163.
Martin, M. M., & Rubin, R. B. (1995). A new measure of cognitive flexibility. Psychological Reports, 76(2), 623-626.
Martin, S. C., Stone, A. M., Scott, A. M. & Brashers, D. E. (2010). Medical, personal, and social forms of uncertainty across the transplantation trajectory. Qualitative Health Research, 20, 182-196.
Mcneil, D. W., Turk, C. L., & Rice, B. I. (1994). Anxiety and fear. Human Behavior, 14(1), 151-163.
Meiran, N. (2010). Task switching: Mechanisms underlying rigid vs. fexible self control. In K. N. Ochsner R. R. Hassin, Y Trope (Ed.), Self control in society, mind and brain (pp. 202-220). New York, NY: Oxford University Press.
Miles, S., Gnatt, I., Phillipou, A., & Nedeljkovic, M. (2020). Cognitive flexibility in acute anorexia nervosa and after recovery: A systematic review. Clinical Psychology Review, 81, 101905.
Motowidlo, S. J., & Van Scotter, J. R. (1994). Evidence that task performance should be distinguished from contextual performance. Journal of Applied Psychology, 79(4), 475-480.
Motowidlo, S. J., Borman, W. C., & Schmit, M. J. (1997). A theory of individual differences in task and contextual performance. Human Performance, 10(2), 71-83.
Muchhal, D. S. (2014). HR practices and job performance. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 19(4), 55-61.
Nassiri, N., Powell, N., & Moore, D. (2010). Human interactions and personal space in collaborative virtual environments. Virtual reality, 14(4), 229-240.
Ngo, L. V., Nguyen, N. P., Lee, J., & Andonopoulos, V. (2020). Mindfulness and job performance: Does creativity matter?. Australasian Marketing Journal, 28(3), 117-123.
Nikčević, A. V., & Spada, M. M. (2020). The COVID-19 Anxiety Syndrome Scale: Development and psychometric properties. Psychiatry Research, 292, 113322.
Nikčević, A. V., Marino, C., Kolubinski, D. C., Leach, D., & Spada, M. M. (2020). Modelling the contribution of the Big Five personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms during the COVID-19 pandemic. Journal of Affective Disorders, 279, 578-584.
O’Driscoll, M. P., Brough, P., Timms, C., & Sawang, S. (2010). Engagement with information and communication technology and psychological well-being. In P. L. Perrewé & D. C. Ganster (Ed.), New developments in theoretical and conceptual approaches to job stress (pp. 269-316). London, UK: Emerald Group Publishing.
Odacı, H., & Cikrikci, Ö. (2019). Cognitive flexibility mediates the relationship between Big Five personality traits and life satisfaction. Applied Research in Quality of Life, 14(5), 1229-1246.
O'Driscoll, M. P., & Beehr, T. A. (1994). Supervisor behaviors, role stressors and uncertainty as predictors of personal outcomes for subordinates. Journal of Organizational Behavior, 15(2), 141-155.
Oeppen, R. S., Shaw, G., & Brennan, P. A. (2020). Human factors recognition at virtual meetings and video conferencing: how to get the best performance from yourself and others. British Journal of Oral and Maxillofacial Surgery, 58(6), 643-646.
Ogbonnaya, C., & Messersmith, J. (2019). Employee performance, well‐being, and differential effects of human resource management subdimensions: Mutual gains or conflicting outcomes?. Human Resource Management Journal, 29(3), 509-526.
Ojeahere, M. I., de Filippis, R., Ransing, R., Karaliuniene, R., Ullah, I., Bytyçi, D. G., ... & Nagendrappa, S. (2020). Management of psychiatric conditions and delirium during the COVID-19 pandemic across continents: Lessons learned and recommendations. Brain, Behavior, & Immunity-Health, 9, 100147.
Papastergiou, M., & Solomonidou, C. (2005). Gender issues in Internet access and favourite Internet activities among Greek high school pupils inside and outside school. Computers & Education, 44(4), 377-393.
Park, J., & Moghaddam, B. (2017). Impact of anxiety on prefrontal cortex encoding of cognitive flexibility. Neuroscience, 345, 193-202.
Parrott, R., Peters, K. F. & Traeder, T. (2012). Uncertainty management and communication preferences related to genetic relativism among families affected by down syndrome, marfan syndrome, and neurofibromatosis. Health Communication, 27, 663-671.
Peng, X., Xu, X., Li, Y., Cheng, L., Zhou, X., & Ren, B. (2020). Transmission routes of 2019-nCoV and controls in dental practice. International Journal of Oral Science, 12(1), 1-6.
Perez, M. P., Sanchez, A. M., & de Luis Carnicer, M. P. (2003). The organizational implications of human resources managers’ perception of teleworking. Personnel Review, 32(6), 733-755.
Pfefferbaum, B., & North, C. (2020). Mental health and the COVID‐19 pandemic. New England Journal of Medicine, 383(6), 510-512.
Powell, A. L. (2013). Computer anxiety: Comparison of research from the 1990s and 2000s. Computers in Human Behavior, 29(6), 2337-2381.
Quiñones-Camacho, L. E., Fishburn, F. A., Camacho, M. C., Wakschlag, L. S., & Perlman, S. B. (2019). Cognitive flexibility-related prefrontal activation in preschoolers: A biological approach to temperamental effortful control. Developmental Cognitive Neuroscience, 38, 100651.
Raghuram, S., Garud, R., Wiesenfeld, B., & Gupta, V. (2001). Factors contributing to virtual work adjustment. Journal of Management, 27(3), 383-405.
Raghuram, S., Wiesenfeld, B., & Garud, R. (2003). Technology enabled work: The role of self-efficacy in determining telecommuter adjustment and structuring behavior. Journal of Vocational Behavior, 63(2), 180-198.
Rains, S. A., & Tukachinsky, R. (2015). Information seeking in uncertainty management theory: Exposure to information about medical uncertainty and information-processing orientation as predictors of uncertainty management success. Journal of Health Communication, 20(11), 1275-1286.
Rajkumar, R. P. (2020). COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry, 52, 102066.
Ramsey, J. R., & Lorenz, M. P. (2016). Exploring the impact of cross-cultural management education on cultural intelligence, student satisfaction, and commitment. Academy of Management Learning & Education, 15(1), 79-99.
Robbins, S. P. (1998). Organizational behavior. New Jersey: Prentice-Hall, Inc.
Robinson, L. (2009). A summary of diffusion of innovations. Enabling change. Retrieved from: http://www.enablingchange.com.au/Summary_Diffusion_Theory.pdf
Rogers, E. M. (1962). Diffusion of innovations. First edition. New York, NY: Free Press.
Rogers, E. M. (1983). Diffusion of innovations. Third edition. New York, NY: Free Press.
Rogers, E. M. (1995). Diffusion of innovations . New York, NY: Free Press.
Rogers, E. M. (2003). Diffusion of innovations. New York, NY: Free Press.
Rogers, E. M. (2010). Diffusion of innovations. New York, NY: Free Press.
Rosenblatt, V., Worthley, R., & MacNab, B. (2013). From contact to development in experiential cultural intelligence education: The mediating influence of expectancy disconfirmation. Academy of Management Learning & Education, 12(3), 356-379.
Rothbart, M. K., Ahadi, S. A., Hershey, K. L., & Fisher, P. (2001). Investigations of temperament at three to seven years: The children's behavior questionnaire. Child Development, 72(5), 1394-1408.
Sahin, I. (2006). Detailed review of Rogers' diffusion of innovations theory and educational technology-related studies based on Rogers' theory. Turkish Online Journal of Educational Technology-TOJET, 5(2), 14-23.
Sahin, I., & Shelley, M. (2008). Considering students' perceptions: The distance education student satisfaction model. Journal of Educational Technology & Society, 11(3), 216-223.
Samander, B. A., Siam, M. R., Basri, W. S., & Hamed, A. A. (2017). Enterprise resources planning acceptance in the airline industry of Saudi Arabia: A mediating effect of job security. Journal of Economic & Management Perspectives, 11(2), 327-340.
Sanchez-Franco, M. J. (2006). Exploring the influence of gender on the web usage via partial least squares. Behaviour & Information Technology, 25(1), 19-36.
Schermerhorn, J. R. (1989). Experiences in management and organizational behavior. The Academy of Management Review, 1, 138-142.
Schultze, U., & Brooks, J. A. M. (2019). An interactional view of social presence: Making the virtual other real. Information Systems Journal, 29(3), 707-737.
Scott, J. E., & Walczak, S. (2009). Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance. Information & Management, 46(4), 221-232.
Sengupta, S., Krapfel, R. E., & Pusateri, M. A. (2000). An empirical investigation of key account salesperson effectiveness. Journal of Personal Selling & Sales Management, 20(4), 253-261.
Shacham, M., Hamama-Raz, Y., Kolerman, R., Mijiritsky, O., Ben-Ezra, M., & Mijiritsky, E. (2020). COVID-19 factors and psychological factors associated with elevated psychological distress among dentists and dental hygienists in Israel. International Journal of Environmental Research and Public Health, 17(8), 2900.
Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10-17.
Shoham, A., & Pesämaa, O. (2013). Gadget loving: A test of an integrative model. Psychology & Marketing, 30(3), 247-262.
Shoss, M. K. (2017). Job Insecurity: An integrative review and agenda for future research. Journal of Management, 43(5), 1911-1939.
Smith, B. M., Twohy, A. J., & Smith, G. S. (2020). Psychological inflexibility and intolerance of uncertainty moderate the relationship between social isolation and mental health outcomes during COVID-19. Journal of Contextual Behavioral Science, 18, 162-174.
Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., ... & Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery, 76, 71-76.
Solomon, D. H., & Vangelisti, A. (2014). Relationship development. In P. J Schultz, P. Cobley, & C. R. Berger (Eds.), Handbooks of communication science: Interpersonal communication (Vol. 6, pp. 347-369). Berlin, De: Gruyter Mouton.
Sonnentag, S., & Frese, M. (2002). Performance concepts and performance theory. Psychological Management of Individual Performance, 23(1), 3-25.
Spielberger, C. D. (1966). Theory and research on anxiety. New York, NY: Academic Press.
Spiro, R. J. & Jehng, J. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidim ensional traversal of com plies subject matter. In D. Nix & R. J. Spiro (Eds.). Cognition, education and multimedia: Exploring ideas in high technology (pp. 163-205). New Jersey: Lawrence Erlbaum Associates.
Spiro, R., Vispoel, W., & Schmitz, J. G. (1987). Knowledge acquisition for application: Cognitive flexibilty and transfer in complex content domains. New Jersy: Lawrence Erlabum Associates.
Stajkovic, A. D., & Luthans, F. (1998). Self-efficacy and work-related performance: A meta-analysis. Psychological Bulletin, 124(2), 240.
Strutton, H. D., Lumpkin, J. R., & Vitell, S. J. (2001). An applied investigation of Rogers and Shoemakers perceived innovation attribute typology when marketing to elderly consumers. Journal of Applied Business Research, 10(1), 118-131.
Sullivan, G. M., & Feinn, R. (2012). Using effect size—Or why the P value is not enough. Journal of Graduate Medical Education, 4(3), 279-282.
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta‐techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42.
Tatikonda, M. V., & Montoya-Weiss, M. M. (2001). Integrating operations and marketing perspectives of product innovation: The influence of organizational process factors and capabilities on development performance. Management Science, 47(1), 151-172.
Teboul, J. C. B. (1994). Facing and coping with uncertainty during organizational encounter. Management Communication Quarterly, 8, 190-224.
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392.
Thakur, R., Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal of Business Research, 69(8), 2764-2773.
Torales, J., O’Higgins, M., Castaldelli-Maia, J. M., & Ventriglio, A. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry. Retrieved from https://doi.org/10.1177/0020764020915212
Trougakos, J. P., Chawla, N., & McCarthy, J. M. (2020). Working in a pandemic: Exploring the impact of COVID-19 health anxiety on work, family, and health outcomes. Journal of Applied Psychology, 105(11), 1234-1245.
Tubre, T. C., & Collins, J. M. (2000). Jackson & Schuler (1985) revisited: A meta-analysis of the relationships between role ambiguity, role conflict, and job performance. Journal of Management, 26(1), 155-169.
ul Haque, A., Aston, J., & Kozlovski, E. (2018). The impact of stressors on organizational commitment of managerial and non-managerial personnel in contrasting economies: Evidences from Canada and Pakistan. International Journal of Business, 23(2), 166-182.
Unsworth, N., Redick, T. S., Heitz, R. P., Broadway, J. M., & Engle, R. W. (2009). Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage. Memory, 17(6), 635-654.
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health, 17(5), 1729.
Wang, X., & Lee, K. M. (2020). The paradox of technology innovativeness and risk perceptions–A profile of Asian smartphone users. Telematics and Informatics, 51, 101415.
Wani, T. A., & Ali, S. W. (2015). Innovation diffusion theory. Journal of General Management Research, 3(2), 101-118.
Wasserman S., Pattison P., & Steinley D. (2005). Social networks: Encyclopedia of statistics in behavioral science. Hoboken, NJ: John Wiley & Sons.
Webster, J. (1998). Desktop videoconferencing: Experiences of complete users, wary users, and non-users. MIS Quarterly, 22(3), 257.
Wenham, C., Smith, J., & Morgan, R. (2020). COVID-19: the gendered impacts of the outbreak. The Lancet, 395(10227), 846-848.
WHO. (2020). WHO Coronavirus disease (COVID-19) dashboard. Retrieved from https://covid19.who.int/
Wiederhold, B. K. (2020). Connecting through technology during the coronavirus disease 2019 pandemic: Avoiding zoom fatigue. Cyberpsychology, Behavior, and Social Networking, 23, 437-438.
Williams, L. J., & Anderson, S. E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 17(3), 601-617.
Wong, J. C. S., & Yang, J. Z. (2020). Seeing is believing: Examining self-efficacy and trait hope as moderators of youths’ positive risk-taking intention. Journal of Risk Research. Retrieved from https://doi.org/10.1080/13669877.2020.1750463
Xiang, Y. T., Yang, Y., Li, W., Zhang, L., Zhang, Q., Cheung, T., & Ng, C. H. (2020). Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. The Lancet Psychiatry, 7(3), 228-229.
Yeo, G. B., & Neal, A. (2006). An examination of the dynamic relationship between self-efficacy and performance across levels of analysis and levels of specificity. Journal of Applied Psychology, 91(5), 1088.
Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT‐based innovations: Comparative analyses of models and measures. Decision Sciences, 37(3), 393-426.
Yip, P. S., Cheung, Y. T., Chau, P. H., & Law, Y. W. (2010). The impact of epidemic outbreak: the case of severe acute respiratory syndrome (SARS) and suicide among older adults in Hong Kong. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 31(2), 86.
Zainudin, A. (2015). SEM made simple, a gentle approach to learning structural equation modeling. Selangor, MY: MPWS Rich Publication.
Zander, L., Zettinig, P., & Mäkelä, K. (2013). Leading global virtual teams to success. Organizational Dynamics, 3(42), 228-237.
Zhang, S., Moeckel, R., Moreno, A. T., Shuai, B., & Gao, J. (2020). A work-life conflict perspective on telework. Transportation Research Part A: Policy and Practice, 141, 51-68.
Zhao, H., He, X., Fan, G., Li, L., Huang, Q., Qiu, Q., ... & Xu, H. (2020). COVID-19 infection outbreak increases anxiety level of general public in China: Involved mechanisms and influencing factors. Journal of Affective Disorders, 276, 446-452.