References
- Sax L, Lehman KJ, Jacobs JA, Kanny MA, Lim G, Monje-Paulson L, Zimmerman HB. Anatomy of an enduring gender gap: the evolution of women’s participation in computer science. J Higher Educ. 2017;88(2):258–93. doi:https://doi.org/10.1080/00221546.2016.1257306.
- Gupta B, Loiacono E, Dutchak I, Thatcher J. A field-based view on gender in the information systems discipline: preliminary evidence and an agenda for change. J Assoc Inf Syst. 2019;20(12): Article. 2. doi:https://doi.org/10.17705/1jais.00588.
- Wagner I. Gender and performance in computer science. ACM Trans Comput Edu. 2016;6(3): Article 11. 16. doi:https://doi.org/10.1145/2920173.
- Agarwal R, Mehrotra A. Demographic analysis of e-governance usage and satisfaction level among Indians. IUP J Inf Technol. 2017;13:37–50.
- Belhadjali M, Abbasi SM, Whaley GL. Social media applications preference by generation and gender: an exploratory study. Competition Forum. 2016;14:103–07.
- Dang Y, Zhang Y, Ravindran S, Osmonbekov T. Examining student satisfaction and gender differences in technology-supported, blended learning. J Inf Syst Edu. 2016;27:119–30.
- Hu T, Zhang X, Dai H, Zhang P. An examination of gender differences among college students in their usage perceptions of the internet. Educ Inf Technol. 2012;17(3):315–30. doi:https://doi.org/10.1007/s10639-011-9160-1.
- Lee J. The roles of demographics on the perceptions of electronic commerce adoption. Acad Marketing Stud J. 2010;14:71–89.
- Lee J, Rha J. Ambivalence toward personalized technology and intention to use location-based mobile commerce: the moderating role of gender. Int J Electron Commerce Stud. 2017;8(2):197–218. doi:https://doi.org/10.7903/ijecs.1526.
- Liu D, Guo X. Exploring gender differences in acceptance of mobile computing devices among college students. Inf Syst eBusiness Manage. 2017;15(1):197–223. doi:https://doi.org/10.1007/s10257-016-0315-x.
- Motwani B. An empirical study on the influence of gender on mobile banking services. Intl J Knowl Manage Pract. 2016;4:1–8.
- Teo T, Lim V. Factors influencing personal computer usage: the gender gap. Women Manage Rev. 1996;11(8):18–26. doi:https://doi.org/10.1108/09649429610148746.
- Trauth E, Quisenberry J, Morgan A. Understanding the under representation of women in IT: toward a theory of individual differences. Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment (SIGMIS CPR ‘04); 2004, Tucson, AZ, USA, p. 114–19.
- Beede DN, Julian TA, Langdon D, McKittrick G, Khan B, Doms ME. Women in stem: a gender gap to innovation. Economics and Statistics Administration Issue Brief No. 04–11. 2011 Aug 1. doi:https://doi.org/10.2139/ssrn.1964782.
- Ashcraft C, Blithe S. Women in IT: the facts. National Center for Women & Information Technology. 2009.
- Prey J, Weaver S. Fostering gender diversity in computing. Computer. 2013;46:22–23.
- Vollmeyer R, Imhof M. Are there gender differences in computer performance? If so, can motivation explain them? Zeitschrift für Pädagogische Psychologie. 2007;21:251–61. doi:https://doi.org/10.1024/1010-0652.21.3.251.
- Byrne P, Lyons G. The effect of student attributes on success in programming. Proceedings of the 6th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE’01); 2001, Canterbury, Kent, UK, p. 49–52; ACM.
- Wilson B. A study of factors promoting success in computer science including gender differences. Comput Sci Educ. 2002;12(1–2):141–64. doi:https://doi.org/10.1076/csed.12.1.141.8211.
- Punter A, Martina RM, Glas C. Gender differences in computer and information literacy: an exploration of the performances of girls and boys in ICILS 2013. Eur Educ Res J. 2016;16(6):762–80. doi:https://doi.org/10.1177/1474904116672468.
- Taylor WA. Computer-mediated knowledge sharing and individual user differences: an exploratory study. Eur J Inf Syst. 2004;13(1):52–64. doi:https://doi.org/10.1057/palgrave.ejis.3000484.
- Hess T, Fuller M, Mathew J. Involvement and decision-making performance with a decision aid: the influence of social multimedia, gender, and playfulness. J Manage Inf Syst. 2006;22(3):15–54. doi:https://doi.org/10.2753/MIS0742-1222220302.
- Levesque F, Fernandez J, Batchelder D. Age and gender as independent risk factors for malware victimization. Proceedings of the 31st British Computer Society Human Computer Interaction Conference (BHCI); 2017, Sunderland, UK, p. 1–14.
- Davison C, Argyriou E. Gender preferences in technology adoption: an empirical investigation of technology trends in higher education. Int J Gender Sci Technol. 2016;8:405–19.
- Baird C, Keene J. Closing the gender gap in math confidence: gender and race/ethnic similarities and differences. Int J Gender Sci Technol. 2018;10:378–410.
- Dennis A, Kinney S, Hung Y. Gender differences in the effects of media richness. Small Group Res. 1999;30(4):405–37. doi:https://doi.org/10.1177/104649649903000402.
- Venkatesh V, Morris G, Ackerman J. A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ Behav Hum Decis Process. 2000;83(1):33–60. doi:https://doi.org/10.1006/obhd.2000.2896.
- Wajcman J. Feminism confronts technology. University Park: The Pennsylvania University Press; 1991.
- Trauth E. Odd girl out: an individual differences perspective on women in the IT profession. Inf Technol People. 2002;15(2):98–118. doi:https://doi.org/10.1108/09593840210430552.
- Trauth E. The role of theory in gender and information systems research. Inf Organ. 2013;23(4):277–93. doi:https://doi.org/10.1016/j.infoandorg.2013.08.003.
- Craig A. Theorising about gender and computing interventions through an evaluation framework. Inf Syst Jl. 2016;26(6):585–611. doi:https://doi.org/10.1111/isj.v26.6.
- Abedalaziz N, Jamaluddin S, Chin HL. Measuring attitudes toward computer and internet usage among postgraduate students in Malaysia. TOJET. 2013;12:200–16.
- Gharibyan H, Gunsaulus S. Gender gap in computer science does not exist in one former Soviet Republic: results of a study. Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education (ITICSE ’06); 2006. p. 222–26; Bologna (Italy). doi:https://doi.org/10.1016/j.neulet.2006.03.062.
- Trauth E, Cain C, Joshi K, Kvasny L, Booth K. The influence of gender-ethnic intersectionality on gender stereotypes about IT skills and knowledge. ACM SIGMIS Database. 2016;47(3):9–39. doi:https://doi.org/10.1145/2980783.
- Bandura A. Social cognitive theory. In: Vasta R, editor. Annals of child development: Vol. 6. Six theories of child development. Greenwich (CT): JAI; 1989. p. 1–60.
- Bandura A. Self-efficacy: the exercise of control. New York (NY): Freeman; 1997.
- Stajkovic AD, Luthans F. Social cognitive theory and self-efficacy: going beyond traditional motivational and behavioral approaches. Organ Dyn. 1998;26(4):62–74. doi:https://doi.org/10.1016/S0090-2616(98)90006-7.
- Lent RW, Brown SD, Hackett G. Social cognitive career theory. In: Brown D, editor. Career choice and behavior. San Francisco (CA): Jossey Bass; 2002. p. 255–311.
- Liu P, Li Z. Task complexity: a review and conceptualization framework. Int J Ind Ergon. 2012;42(6):553–68. doi:https://doi.org/10.1016/j.ergon.2012.09.001.
- Saastamoinen M, Jarvelin K. Relationships between work task types, complexity and dwell time of information resources. J Inf Sci. 2018;44:265–84.
- Paquette L, Kida T. The effect of decision strategy and task complexity on decision performance. Organ Behav Hum Decis Process. 1988;41(1):128–42. doi:https://doi.org/10.1016/0749-5978(88)90051-9.
- Liberatore M, Titus G, Dixon P. The effects of display formats on information systems design. J Manage Inf Syst. 1988/89;5(3):85–99. doi:https://doi.org/10.1080/07421222.1988.11517834.
- Liberatore M, Titus G, Varano M, Dixon P. An experimental investigation of the effects of some information system design variables on performance, preference and learning. Inf Process Manage. 1989;25(5):563–77. doi:https://doi.org/10.1016/0306-4573(89)90026-5.
- Speier C. The influence of information presentation formats on complex task decision-making performance. Int J Hum Comput Stud. 2006;64(11):1115–31. doi:https://doi.org/10.1016/j.ijhcs.2006.06.007.
- Speier C, Morris M. The influence of query interface design on decision-making performance. MIS Q. 2003;27(3):397–423. doi:https://doi.org/10.2307/30036539.
- Luthans F, Youssef-Morgan CM, Avolio BJ. Psychological capital and beyond. New York (NY): Oxford University Press; 2015.
- SAP SE. SAP Lumira Discovery. 2018. https://info.sapdigital.com/Lumira-Try-Now-30-days.html. Accessed October 27, 2019.
- Wood R. Task complexity: definition of the construct. Organ Behav Hum Decis Process. 1986;37(1):60–82. doi:https://doi.org/10.1016/0749-5978(86)90044-0.
- Trauth E. A research agenda for social inclusion in information systems. ACM SIGMIS Database. 2017;48(2):9–20. doi:https://doi.org/10.1145/3084179.