The present study revisits the Factors Influencing Teaching Choice (FIT-Choice) framework and explores what motivates business management academicians in teaching virtually. The revisit is based on a quantitative cross-sectional research design using 256 responses collected from in-service business management academicians teaching post-graduate business courses in India, through a structured questionnaire. The exercise of revisiting the FIT-Choice framework in the context of virtual teaching in business management courses led us to find four new variables, that is, task demand and expert career, teaching efficacy, knowledge assimilation and institutional utility value, as well as suggest revising teaching and learning experience, task returns and values. The results reveal that some additional factors motivating business academicians are teaching efficacy, content expertise, learning of new technology, futuristic growth and opportunities, alternative career opportunities and personal branding. The study provides suggestions to the apex bodies, regulators of higher education and institutions to take a call on motivational and influential factors while drafting the job requirements in business schools. Finally, the study emphasizes the importance of infrastructural and technological development required to be achieved by higher education institutions.
AkibaM., ChiuY. L., ShimizuK., & LiangG. (2012). Teacher salary and national achievement: A cross-national analysis of 30 countries. International Journal of Educational Research, 53, 171–181.
2.
AkpochafoG. O. (2020). Factors influencing undergraduates’ choice of teaching as a career (Fit-choice) in Nigeria. International Journal of Education and Practice, 8(1), 121–133. https://dx.doi.org/10.18488/journal.61.2020.81.121.133.
3.
AndersonS. E., & ManingerR. M. (2007). Preservice teachers' abilities, beliefs, and intentions regarding technology integration. Journal of Educational Computing Research, 37(2), 151–172.
4.
Ariza-MontesA., MunizR. N. M., Leal-RodríguezA. L., & Leal-MillánA. G. (2016). Workplace bullying among teachers. Journal of Occupational and Environmental Medicine, 58(8), 818–827. https://dx.doi.org/10.1097/jom.0000000000000804.
5.
ArmorD., Conroy-OsegueraP., CoxM., KingN., McDonnellL., PascalA., PaulyE., & ZellmanG. (1976). Analysis of the school preferred reading programs in selected Los Angeles minority schools(Report No. R-2007- LAUSD). Rand Corporation (ERIC Document Reproduction Service No. 130 243).
6.
AtkinsP., & StoughC. (2005, April). Does emotional intelligence change with age?Paper presented at the Society for Research in Adult Development Annual Conference, Atlanta, GA.
7.
BadiaA., MenesesJ., & SigalesC. (2013). Teacher’s perceptions of factors affecting the educational use of ICT in technologyrich classrooms. Electronic Journal of Research in Educational Psychology, 11(3), 786–808.
8.
BaidD., & RaoS. N. (2017). Management controls of teachers—Scale development and validation. Global Business Review, 18(3), 719–733.
9.
BarrettB. (2010). Virtual teaching and strategies: Transitioning from teaching traditional classes to online classes. Contemporary Issues in Education Research (CIER), 3(12), 17–20.
10.
BastickT. (2002, January). Materialist culture and teacher attrition in the Caribbean: Motivational differences between novice and experienced Jamaican teacher trainees. Paper presented at the Annual Conference on Caribbean Culture, Kingston, Jamaica.
11.
BaumN. (2010). Shared traumatic reality in communal disasters: Toward a conceptualization. Psychotherapy: Theory, Research, Practice, Training, 47(2), 249–259. https://dx.doi.org/10.1037/a0019784.
12.
BeckU. (2000). The brave new world of work (R. Camiller, Trans.). Polity.
13.
BlinF., & MunroM. (2008). Why hasn’t technology disrupted academics’ teaching practices? Understanding resistance to change through the lens of activity theory. Computers and Education, 50(2), 475–490. https://dx.doi.org/10.1016/j.compedu.2007.09.017.
14.
BookC. L., & FreemanD. J. (1986). Differences in entry characteristics of elementary and secondary teacher candidates. Journal of Teacher Education, 37(2), 47–51.
15.
BookC. L., FreemanD., & BrousseauB. (1985). Comparing academic backgrounds and career aspirations of education and non-education majors. Journal of Teacher Education, 36(3), 27–30.
16.
BoylanM. (2010). It’s getting me thinking and I’m an old cynic’: Exploring the relational dynamics of mathematics teacher change. Journal of Mathematics Teacher Education, 13(5), 383–395. https://dx.doi.org/10.1007/s10857-010-9154-8.
17.
BrownT. A. (2006). Confirmatory factor analysis for applied research. Guilford Publications.
18.
ChenS. H., YangC. C., ShiauJ. Y., & WangH. H. (2006). The development of an employee satisfaction model for higher education. The TQM Magazine, 18(5), 484–500.
19.
CodeJ., RalphR., & FordeK. (2020). Pandemic designs for the future: Perspectives of technology education teachers during COVID-19. Information and Learning Science, 121(5–6), 409–421. https://dx.doi.org/10.1108/ILS-04-2020-0112.
20.
CreswellJ. W. (2000). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.) SAGE Publications. file:///C:/Users/youhe/Downloads/kdoc_o_00042_01.pdf.
21.
CsikszentmihalyiM. (2014). Intrinsic motivation and effective teaching. InCsikszentmihalyiM.(Ed.), Applications of flow in human development and education (pp. 173–187). https://dx.doi.org/10.1007/978-94-017-9094-9_8.
22.
DavisN., RoblyerM. P., CharaniaA., FerdigR., HarmsC., ComptonL. K. L., & ChoM. O. (2007). Illustrating the “virtual” in virtual schooling: Challenges and strategies for creating real tools to prepare virtual teachers. The Internet and Higher Education, 10(1), 27–39.
23.
DhawanS. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 004723952093401. https://dx.doi.org/10.1177/0047239520934018.
24.
DickterD., RoznowskiM., & HarrisonD. (1996). Temporal tempering: An event history analysis of the process of voluntary turnovers. Journal of Applied Psychology, 81, 705–716.
25.
Donitsa-SchmidtS., & RamotR. (2020). Opportunities and challenges: Teacher education in Israel in the Covid-19 pandemic. Journal of Education for Teaching, 46(4), 586–595. https://dx.doi.org/10.1080/02607476.2020.1799708.
26.
DörnyeiZ., & EmaU. (2013). Teaching and researching: Motivation. Routledge.
27.
EcclesJ. (1983). Expectancies, values and academic behaviors. InSpenceJ. T.(Ed.), Achievement and achievement motives: Psychological and sociological approaches (pp. 75–146). W. H. Freeman and Company.
28.
FaltE., & SenapatyH. (2020, October 5). Covid shut schools, but teachers making sure learning is not stopped in India. The Print. https://theprint.in/opinion/covid-shut-schools-but-teachers-making-sure-learning-is-not-stopped/516334/.
29.
Ferreira-LopesL., & Van Rompay-BartelsI. (2020). Preparing future business professionals for a globalized workplace through intercultural virtual collaboration. Development and Learning in Organizations, 34(2), 21–24. https://dx.doi.org/10.1108/DLO-08-2019-0194.
30.
FjørtoftS. O. (2020). Teaching in the time of corona crisis: A study of Norwegian teachers’ transition into digital teaching. The Future of Education – 10th International Conference (Virtual Edition). https://conference.pixel-online.net/FOE/virtual_presentation_scheda.php?id_abs=4720.
31.
Fokkens-BruinsmaM., & CanrinusE. T. (2014). Motivation for becoming a teacher and engagement with the profession: Evidence from different contexts. International Journal of Educational Research, 65, 65–74. https://dx.doi.org/10.1016/j.ijer.2013.09.012.
32.
FraenkelJ. R., & WallenN. E. (2000). How to design and evaluate research in education. McGraw-Hill.
33.
FwuB. J., & WangH. H. (2002). The social status of teachers in Taiwan. Comparative Education, 38(2), 211–224.
34.
GhaithG., & YaghiH. (1997). Relationships among experience, teacher efficacy, and attitudes toward the implementation of instructional innovation. Teaching and Teacher Education, 13(4), 451–458.
35.
GratacósG., López-GómezE., NocitoG., & SastreS. (2017). Why teach? Antecedents and consequences in Spain. InWattH., RichardsonP., & SmithK.(Eds.), Global perspectives on teacher motivation (pp. 22–54). Current Perspectives in Social and Behavioral Sciences. Cambridge University Press. https://dx.doi.org/10.1017/9781316225202.003.
36.
GreenhausJ. H., CallananG. A., & GodshalkV. M. (2010). Career management. SAGE Publications.
37.
GuskeyT. R. (1988). Teacher efficacy, self-concept, and attitudes toward the implementation of instructional innovation. Teaching and Teacher Education, 4(1), 63–69.
38.
HanJ., & YinH. (2016). Teacher motivation: Definition, research development and implications for teachers. Cogent Education, 3(1). https://dx.doi.org/10.1080/2331186X.2016.1217819.
39.
HegazyH., EllertonP., Campos-RemonH., ZaphirL., MazzolaC., & BrownD. (2021). Working from theory: Developing the bases of teachers’ critical thinking pedagogies through action research. Educational Action Research. https://dx.doi.org/10.1080/09650792.2021.1877757.
40.
HennessyJ., & LynchR. (2017). “I chose to become a teacher because”. Exploring the factors influencing teaching choice amongst pre-service teachers in Ireland. Asia-Pacific Journal of Teacher Education, 45(2), 106–125. https://dx.doi.org/10.1080/1359866X.2016.1183188.
41.
HennessyS., RuthvenK., & BrindleyS. (2005). Teacher perspectives on integrating ICT into subject teaching: Commitment, constraints, caution, and change. Journal of Curriculum Studies, 37(2), 155–192. https://dx.doi.org/10.1080/0022027032000276961.
42.
HiltzS. R., & TuroffM. (2005). Education goes digital: The evolution of online learning and the revolution in higher education. Communications of the ACM, 48(10), 59–64. https://dx.doi.org/10.1145/1089107.1089139.
43.
HongJ. Y. (2012). Why do some beginning teachers leave the school, and others stay? Understanding teacher resilience through psychological lenses. Teachers and Teaching, 18(4), 417–440.
44.
HooperS., & RieberL. P. (1995). Teaching with technology. Teaching Theory into Practice, 2013, 154–170.
45.
HuL. T., & BentlerP. M. (1999). Cut off criteria for fit indexes in covariance structural analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
46.
KangL. S., & SidhuH. (2015). Identification of stressors at work: A study of university teachers in India. Global Business Review, 16(2), 303–320. https://dx.doi.org/10.1177/0972150914564421.
47.
KebritchiM., LipschuetzA., & SantiagueL. (2017). Issues and challenges for teaching successful online courses in higher education. Journal of Educational Technology Systems, 46(1), 4–29.
48.
KilinçA., WattH. M. G., & RichardsonP. W. (2012). Factors influencing teaching choice in Turkey. Asia-Pacific Journal of Teacher Education, 40(3), 199–226. https://dx.doi.org/10.1080/1359866X.2012.700048.
49.
KlassenR. M., & ChiuM. M. (2011). The occupational commitment and intention to quit of practicing and pre-service teachers: Influence of self-efficacy, job stress, and teaching context. Contemporary Educational Psychology, 36, 114–129. https://dx.doi.org/10.1016/j.cedpsych.2011.01.002.
50.
KönigJ., & RothlandM. (2012). Motivations for choosing teaching as a career: Effects on general pedagogical knowledge during initial teacher education. Asia-Pacific Journal of Teacher Education, 40(3), 289–315. https://dx.doi.org/10.1080/1359866X.2012.700045.
51.
KorthagenF. A. J., & KesselsJ. P. A. M. (1999). Linking theory and practice: Changing the pedagogy of teacher education. Educational Researcher, 28(4), 1–14.
52.
KosterB., KorthagenF. A. J., WubbelsT., & HoornwegJ. (1996). Roles, competencies and training of teacher educators: A new challenge. InBefringE.(Ed.), Teacher education for quality (pp. 397–411). Lobo Grafisk.
53.
KuladinithiK., FisserL., FugerK., StolpmannD., VatandasZ., Timm-GielA., & DürkopA. (2020, August). Online teaching of project-based learning courses: Issues, challenges and outcomes. ACM SIGCOMM 2020. ACM Special Interest Group on Data Communication (SIGCOMM).
54.
KuuttiK. (1996). Activity theory as a potential framework for human-computer interaction research. InNardiB.(Ed.), Context and consciousness: Activity theory and human-computer interaction (pp. 17–44). MIT Press.
55.
La VelleL., NewmanS., MontgomeryC., & HyattD. (2020). Initial teacher education in England and the Covid-19 pandemic: Challenges and opportunities. Journal of Education for Teaching, 46(4), 596–608. https://dx.doi.org/10.1080/02607476.2020.1803051.
56.
LeeJ. A., KangM. O., & ParkB. J. (2019). Factors influencing choosing teaching as a career: South Korean preservice teachers. Asia Pacific Education Review, 20(3), 467–488. https://dx.doi.org/10.1007/s12564-019-09579-z.
57.
LinJ., WangP. Y., & LinI. C. (2012a). Pedagogy technology: A two-dimensional model for teachers’ ICT integration. British Journal of Educational Technology, 43, 97–108. https://dx.doi.org/10.1111/j.1467-8535.2010.01159.x.
58.
LinE., ShiQ., WangJ., ZhangS., & HuiL. (2012b). Initial motivations for teaching: Comparison between preservice teachers in the United States and China. Asia-Pacific Journal of Teacher Education, 40(3), 227–248.
59.
MannS., & HoldsworthL. (2003). The psychological impact of teleworking: Stress, emotions and health, new technology. Work and Employment, 18(3), 196–211.
60.
MidgleyC., FeldlauferH., & EcclesJ. (1989). Change in teacher efficacy and student self- and task-related beliefs in mathematics during the transition to junior high school. Journal of Educational Psychology, 81, 247–258.
61.
MintyR., & PatherE. U. (2014). The integration of ICTs in the teaching and learning of mathematical literacy: A study conducted in eight schools in Gauteng, South Africa. International Journal of Science Commerce and Humanities, 2(1), 47–60.
62.
MishraL., GuptaT., & ShreeA. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://dx.doi.org/10.1016/j.ijedro.2020.100012.
63.
MontacuteR. (2020). Social mobility and Covid-19: Implications of the Covid-19 crisis for educational inequality. Sutton Trust.
64.
MooreW., & EsselmanM. (1992). Teacher efficacy, power, school climate and achievement: A desegregating district’s experience. Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco.
65.
MoranA., KilpatrickR., AbbottL., DallattJ., & McCluneB. (2001). Training to teach: Motivating factors and implications for recruitment. Evaluation & Research in Education, 15, 17–32.
66.
MurphyK. R., & DavidshoferR. (1991). Psychological testing: Principles and applications. Prentice-Hall.
67.
NagaiahK., SrimannarayanaG., & PhanirajG. (2020, December 2). Why India should not reopen schools and colleges during COVID-19 pandemic. Down to Earth. https://www.downtoearth.org.in/blog/governance/why-india-should-not-reopen-schools-and-colleges-during-covid-19-pandemic-74493.
OcampoA. C. G., WangL., KiazadK., RestubogS. L. D., & AshkanasyN. M. (2020). The relentless pursuit of perfectionism: A review of perfectionism in the workplace and an agenda for future research. Journal of Organizational Behavior, 41(2), 144–168.
70.
OyeN. D., LahadN. A., & RahimN. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19(1), 251–270.
71.
PenroseA., PerryC., & BallI. (2007). Emotional intelligence and teacher self-efficacy: The contribution of teacher status and length of experience. Issues in Educational Research, 17(1), 107–126.
72.
PonnockA., TorsneyB., & LombardiD. (2018). Motivational differences throughout teachers’ preparation and career. New Waves-Educational Research and Development Journal, 21(2), 26–45.
73.
PTI. (2020, May12). Companies cautiously resume work as India begins reopening economy. ET Retail, The Economic Times. https://retail.economictimes.indiatimes.com/news/industry/companies-cautiously-resume-work-as-india-begins-reopening-economy/75696909.
74.
PurwantoA., AsbariM., FahleviM., MufidA., AgistiawatiE., CahyonoY., & SuryaniP. (2020). Impact of work from home (WFH) on Indonesian teachers performance during the Covid-19 pandemic: An exploratory study. International Journal of Advanced Science and Technology, 29(5), 6235–6244.
75.
RanaS., AnandA., PrasharS., & HaqueM. M. (2020). A perspective on the positioning of Indian business schools post COVID-19 pandemic. International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print. https://dx.doi.org/10.1108/IJOEM-04-2020-0415.
76.
RichardsonP. W., & Watt†H. M. G. (2006). Who chooses teaching and why? Profiling characteristics and motivations across three Australian universities. Asia-Pacific Journal of Teacher Education, 34(1), 27–56. https://dx.doi.org/10.1080/13598660500480290.
77.
SalifuI., AlagbelaA. A., & Gyamfi OforiC. (2018). Factors influencing teaching as a career choice (FIT-Choice) in Ghana. Teaching Education, 29(2), 111–134. https://dx.doi.org/10.1080/10476210.2017.1365360.
78.
SharifT., UpadhyayD., & AhmedE. (2016). Motivational factors influencing teaching (FIT) as a career: An empirical study of the expatriate teachers in the Emirates. The Journal of Developing Areas, 50(6), 209–225. https://dx.doi.org/10.1353/jda.2016.0148.
79.
SinghS., & RyhalP. C. (2021). How does servant leadership behaviour affect job satisfaction? A study on Indian Academia. FIIB Business Review, 10(1), 52–61. https://doi.org/10.1177%2F2319714520968697.
80.
SkaalvikE. M., & SkaalvikS. (2007). Dimensions of teacher self-efficacy and relations with strain factors, perceived collective teacher efficacy, and teacher burnout. Journal of Educational Psychology, 99, 611–625. https://dx.doi.org/10.1037/0022-0663.99.3.611.
81.
SokalL., TrudelL. E., & BabbJ. (2020a). Canadian teachers’ attitudes toward change, efficacy, and burnout during the COVID-19 pandemic. International Journal of Educational Research Open, 1, 100016.
82.
SokalL. J., TrudelL. G. E., & BabbJ. C. (2020b). Supporting teachers in times of change: The job demands-resources model and teacher burnout during the COVID-19 pandemic. International Journal of Contemporary Education, 3(2), 67–74. https://dx.doi.org/10.11114/ijce.v3i2.4931.
83.
StruncA. R. (2020). Editorial: Are they listening? Policymakers and their role in public education. Research in Educational Policy and Management, 2(1), i–iii. https://dx.doi.org/10.46303/repam.02.01.ed.
84.
SunA., & ChenX. (2016). Online education and its effective practice: A research review. Journal of Information Technology Education: Research, 15, 157–190. https://dx.doi.org/10.28945/3502.
85.
TansleyC., & BrysonC. (2000). Virtual seminars: A viable substitute for traditional approaches?Innovations in Education and Teaching International, 37(4), 335–345. https://dx.doi.org/10.1080/135580000750052946.
86.
ThompsonB. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association.
87.
TorsneyB. M., LombardiD., & PonnockA. (2019). The role of values in pre-service teachers’ intentions for professional engagement. Educational Psychology, 39(1), 19–37. https://dx.doi.org/10.1080/01443410.2018.1504892.
88.
Tschannen-MoranM., & HoyA. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783–805.
89.
TudhopeW. B. (1944). Motives for the choice of the teaching profession by training college students. British Journal of Educational Psychology, 14(3), 129–141.
90.
VargheseR., & SunnyF. J. (2016). The impact of introducing spirituality in business education through experiential engagement. Global Business Review, 17(1), 147–160.
91.
WarrierU., JohnM., & WarrierS. (2021). Leveraging emotional intelligence competencies for sustainable development of higher education institutions in the new normal. FIIB Business Review, 10(1), 62–73. https://doi.org/10.1177%2F2319714521992032.
92.
WattH. M. G., & RichardsonP. W. (2007). Motivational factors influencing teaching as a career choice: Development and validation of the FIT-choice scale. Journal of Experimental Education, 75(3), 167–202. https://dx.doi.org/10.3200/JEXE.75.3.167-202.
93.
WattH. M. G., RichardsonP. W., KlusmannU., KunterM., BeyerB., TrautweinU., & BaumertJ. (2012). Motivations for choosing teaching as a career: An international comparison using the FIT-Choice scale. Teaching and Teacher Education, 28(6), 791–805. https://dx.doi.org/10.1016/j.tate.2012.03.003.
94.
WigfieldA., & EcclesJ. S. (1992). The development of achievement task values: A theoretical analysis. Developmental Review, 12(3), 265–310.
95.
WigfieldA., & EcclesJ. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://dx.doi.org/10.1006/ceps.1999.1015.
96.
WongK. M., & MoorhouseB. L. (2020). The impact of social uncertainty, protests, and COVID-19 on Hong Kong teachers. Journal of Loss and Trauma, 25(8), 649–655. https://dx.doi.org/10.1080/15325024.2020.1776523.
97.
World Bank. (2020). How countries are using edtech (including online learning, radio, television, texting) to support access to remote learning during the COVID-19 pandemic. https://www.worldbank.org/en/topic/edutech/brief/how-countries-are-using-edtech-to-support-remote-learning-during-the-covid-19-pandemic.
98.
YinH., HuangS., & WangW. (2016). Work environment characteristics and teacher well-being: The mediation of emotion regulation strategies. International Journal of Environmental Research and Public Health, 13(9), 907. https://dx.doi.org/10.3390/ijerph13090907.
99.
YongB. C. S. (1995). Teacher trainees’ motives for entering a teaching career in Brunei Darussalam. Teaching and Teacher Education, 11, 275–280.
100.
YusufM. O. (2005). Information and communication education: Analyzing the Nigerian national policy for information technology. International Education Journal, 6(3), 316–321.
101.
ZaharahZ., KirilovaG. I., & WindartiA. (2020). Impact of corona virus outbreak towards teaching and learning activities in Indonesia. SALAM: Jurnal Sosial dan Budaya Syar-i, 7(3), 269–282.
