A quarter century of gender and information systems research: the role of theory in investigating the gender imbalance

References

• Adam, A., Griffiths, M., Keogh, C., Moore, K., Richardson, H., & Tattersall, A. (2006). Being an ‘it’ in IT: Gendered identities in IT work. European Journal of Information Systems, 15(4), 368–378. https://doi.org/10.1057/palgrave.ejis.3000631
   Web of Science ®Google Scholar
• Adam, A., Howcroft, D., & Richardson, H. (2004). A decade of neglect: Reflecting on gender and IS. New Technology, Work and Employment, 19(3), 222–240. https://doi.org/10.1111/j.1468-005X.2004.00139.x
   Web of Science ®Google Scholar
• Adya, M., & Kaiser, K. M. (2005). Early determinants of women in the IT workforce: a model of girls’ career choices. Information Technology & People, 18(3), 230–259. https://doi.org/10.1108/09593840510615860
   Google Scholar
• Ahuja, M. K. (2002). Women in the information technology profession: A literature review, synthesis and research agenda. European Journal of Information Systems, 11(1), 20–34. https://doi.org/10.1057/palgrave/ejis/3000417
   Web of Science ®Google Scholar
• Alam, K., & Imran, S. (2015). The digital divide and social inclusion among refugee migrants. Information Technology & People, 28(2), 344–365. https://doi.org/10.1108/ITP-04-2014-0083
   Web of Science ®Google Scholar
• Annabi, H., & Lebovitz, S. (2018). Improving the retention of women in the IT workforce: An investigation of gender diversity interventions in the USA. Information Systems Journal, 28(6), 1049–1081. https://doi.org/10.1111/isj.12182
   Web of Science ®Google Scholar
• Armstrong, D. J., Riemenschneider, C. K., Allen, M. W., & Reid, M. F. (2007). Advancement, voluntary turnover and women in IT: A cognitive study of work-family conflict. Information & Management, 44(2), 142–153. https://doi.org/10.1016/j.im.2006.11.005
   Web of Science ®Google Scholar
• Armstrong, D. J., Riemenschneider, C. K., & Giddens, L. G. (2018). The advancement and persistence of women in the information technology profession: An extension of Ahuja’s gendered theory of IT career stages. Information Systems Journal, 28(6), 1082–1124. https://doi.org/10.1111/isj.12185
   Web of Science ®Google Scholar
• Ashcraft, C., Eger, E., Friend, M. (2012). Girls in IT: The facts. SIGCSE ’13 Proceeding of the 44th ACM Technical Symposium on Computer Science Education, 79.
   Google Scholar
• Baglione, S. L., Harcar, T., & Spillan, J. (2017). Turkish students’ perceived relevance of Facebook as a marketing tool. Journal of Information, Communication and Ethics in Society, 15(2), 125–144. https://doi.org/10.1108/JICES-08-2016-0027
   Web of Science ®Google Scholar
• Björkman, C. (2005). Feminist research and computer science: Starting a dialogue. Journal of Information, Communication and Ethics in Society, 3(4), 179–188. https://doi.org/10.1108/14779960580000271
   Google Scholar
• Brooks, N. G., Hardgrave, B. C., O'Leary-Kelly, A. M., McKinney, V., & Wilson, D. D. (2015). Identifying with the information technology profession: Implications for turnaway of IT professionals. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 46(1), 8–23. https://doi.org/10.1145/2747544.2747546
   Google Scholar
• Chen, R., & Sharma, S. K. (2015). Learning and self-disclosure behavior on social networking sites: The case of Facebook users. European Journal of Information Systems, 24(1), 93–106. https://doi.org/10.1057/ejis.2013.31
   Web of Science ®Google Scholar
• Chiu, M.-S. (2012). Gaps between valuing and purchasing Green-Technology products – Product and gender differences. International Journal of Technology and Human Interaction, 8(3), 54–68. https://doi.org/10.4018/jthi.2012070106
   Google Scholar
• Christensen, R., Knezek, G., & Tyler-Wood, T. (2014). Student perceptions of Science. Computers in Human Behavior, 34, 173–186. https://doi.org/10.1016/j.chb.2014.01.046
   Web of Science ®Google Scholar
• Clayton, K. L. (2007). The influence of metropolitan Brisbane middle-school ICT experiences on girls ’ ICT study and career choices [Unpublished doctoral dissertation]. Griffith University.
   Google Scholar
• Clayton, K., Beekhuyzen, J., & Nielsen, S. (2012). Now I know what ICT can do for me! Information Systems Journal, 22(5), 375–390. https://doi.org/10.1111/j.1365-2575.2012.00414.x
   Web of Science ®Google Scholar
• Corneliussen, H. (2005). ‘I fell in love with the machine ’ Women’s pleasure in computing. Journal of Information, Communication and Ethics in Society, 3(4), 233–241. https://doi.org/10.1108/14779960580000276
   Google Scholar
• Craig, A. (2016). Theorising about gender and computing interventions through an evaluation framework. Information Systems Journal, 26(6), 585–611. https://doi.org/10.1111/isj.12072
   Web of Science ®Google Scholar
• Croasdell, D., McLeod, A., & Simkin, M. G. (2011). Why don’t more women major in information systems? Information Technology & People, 24(2), 158–183. https://doi.org/10.1108/09593841111137340
   Web of Science ®Google Scholar
• Dhar-Bhattacharjee, S., & Richardson, H. (2018). A tour of India in one workplace: Investigating complex and gendered relations in IT. Information Technology & People, 31(2), 578–594. https://doi.org/10.1108/ITP-08-2015-0198
   Web of Science ®Google Scholar
• DiPrete, T., & Buchman, C. (2013). The rise of women: The growing gender gap in education and what it means for American schools. Russell Sage Foundation.
   Google Scholar
• D'Mello, M., & Eriksen, T. H. (2010). Software, sports day and sheera: Culture and identity processes within a global software organization in India. Information and Organization, 20(2), 81–110. https://doi.org/10.1016/j.infoandorg.2010.03.001
   Web of Science ®Google Scholar
• Fehrenbacher, D. D. (2017). Affect infusion and detection through faces in computer-mediated knowledge-sharing decisions. Journal of the Association for Information Systems, 18(10), 703–726. https://doi.org/10.17705/1jais.00470
   Web of Science ®Google Scholar
• Fisher, J., Lang, C., Craig, A., & Forgasz, H. (2015). If girls aren’t interested in computing can we change their minds? ECIS, 2015, 1–14.
   Google Scholar
• Flick, C. (2015). Mentorship in computer ethics. Journal of Information, Communication and Ethics in Society, 13(3/4), 326–345. https://doi.org/10.1108/JICES-10-2014-0052
   Google Scholar
• Foth, M. (2016). Factors influencing the intention to comply with data protection regulations in hospitals: Based on gender differences in behaviour and deterrence. European Journal of Information Systems, 25(2), 91–109. https://doi.org/10.1057/ejis.2015.9
   Web of Science ®Google Scholar
• Fothergill, B. T., Knight, W., Stahl, B. C., & Ulnicane, I. (2019). Intersectional observations of the Human Brain Project’s approach to sex and gender. Journal of Information, Communication and Ethics in Society, 17(2), 128–144. https://doi.org/10.1108/JICES-11-2018-0091
   Web of Science ®Google Scholar
• Gallivan, M. (2013). A structured review of IS research on gender and IT. Proceedings of The 2013 Annual Conference on Computers and People Research – SIGMIS-CPR ’13, 45. https://doi.org/10.1145/2487294.2487304
   Google Scholar
• Gallivan, M. J. (2004). Examining IT Professionals’ adaptation to technological change: The influence of gender and personal attributes. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 35(3), 28–49. https://doi.org/10.1145/1017114.1017119
   Google Scholar
• Gallivan, M., & Ahuja, M. (2015). Co-authorship, homophily, and scholarly influence in information systems research. Journal of the Association for Information Systems, 16(12), 980–1015. https://doi.org/10.17705/1jais.00416
   Web of Science ®Google Scholar
• Ge, C., Kankanhalli, A., & Huang, K.-W. (2015). Investigating the determinants of starting salary of IT graduates. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 46(4), 9–25. https://doi.org/10.1145/2843824.2843826
   Google Scholar
• Godinho de Matos, M., Ferreira, P., & Krackhardt, D. (2014). Peer influence in the diffusion of the iPhone 3G over a large social network. MIS Quarterly, 38(4), 1103–1133. https://doi.org/Article https://doi.org/10.25300/MISQ/2014/38.4.08
   Web of Science ®Google Scholar
• Gorbacheva, E., Beekhuyzen, J., Vom Brocke, J., & Becker, J. (2019). Directions for research on gender imbalance in the IT profession. European Journal of Information Systems, 28(1), 43–67. https://doi.org/10.1080/0960085X.2018.1495893
   Web of Science ®Google Scholar
• Guzman, I. R., & Stanton, J. M. (2009). IT occupational culture: The cultural fit and commitment of new information technologists. Information Technology & People, 22(2), 157–187. https://doi.org/10.1108/09593840910962212
   Web of Science ®Google Scholar
• Hansen, J., & Walden, E. (2013). The role of restrictiveness of use in determining ethical and legal awareness of unauthorized file sharing the role of restrictiveness of use in determining ethical and legal awareness of unauthorized file. Journal of the Association for Information Systems, 14(9), 521–549. https://doi.org/10.17705/1jais.00342
   Web of Science ®Google Scholar
• Harris, R., & Wilkinson, M. A. (2004). Situating gender: Students’ perceptions of information work. Information Technology & People, 17(1), 71–86. https://doi.org/10.1108/09593840410522189
   Google Scholar
• Harvey, L. (1997). A genealogical exploration of gendered genres in IT cultures. Information Systems Journal, 7(2), 153–172. https://doi.org/10.1046/j.1365-2575.1997.00012.x
   Web of Science ®Google Scholar
• Hayes, A. R., & Bigler, R. S. (2015). Postbaccalaureate STEM students’ perceptions of their training: Exploring the intersection of gender and nativity. International Journal of Gender, Science and Technology, 7(2), 180–204.
   Google Scholar
• Howcroft, D., & Trauth, E. M. (2008). The implications of a critical agenda in gender and IS research. Information Systems Journal, 18(2), 185–202. https://doi.org/10.1111/j.1365-2575.2008.00294.x
   Web of Science ®Google Scholar
• Huang, J., Shi, S., Chen, Y., & Chow, W. S. (2016). How do students trust Wikipedia? An examination across genders. Information Technology & People, 29(4), 750–773. https://doi.org/10.1108/ITP-12-2014-0267
   Web of Science ®Google Scholar
• Hüsing, T., Korte, W. B., & Dasjha, E. (2015 November). e-Skills in Europe: trends and forecast for the European ICT Professional and Digital Leadership labour markets (2015–2020). 1–42.
   Google Scholar
• Igbaria, M., & Baroudi, J. (1995). The impact of job performance evaluations on career advancement prospects: An examination of gender differences in the IS workplace. MIS Quarterly, 19(1), 107. https://doi.org/10.2307/249713
   Web of Science ®Google Scholar
• Igbaria, M., & Chidambaram, L. (1997). The impact of gender on career success of information systems professionals: A human-capital perspective. Information Technology & People, 10(1), 63–86.
   Google Scholar
• Joshi, K. D., & Kuhn, K. M. (2007). What it takes to succeed in information technology consulting. Information Technology & People, 20(4), 400–424. https://doi.org/10.1108/09593840710839815
   Google Scholar
• Joshi, K. D., & Schmidt, N. L. (2006). Is the information systems profession gendered? Characterization of IS professionals and IS career. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 37(4), 26–41. https://doi.org/10.1145/1185335.1185343
   Google Scholar
• Khalil, O. E. M., & Seleim, A. A. S. (2012). Attitudes towards information ethics: a view from Egypt. Journal of Information, Communication and Ethics in Society, 10(4), 240–261. https://doi.org/10.1108/14779961211285872
   Google Scholar
• Khedhaouria, A., & Beldi, A. (2014). Perceived enjoyment and the effect of gender on continuance intention for mobile internet services. International Journal of Technology and Human Interaction (IJTHI), 10(2), 1–20.
   Google Scholar
• Kori, K., Altin, H., Pedaste, M., Palts, T., & Tõnisson, E. (2014, March 10–12). What influences students to study information and communication technology? Proceedings of INTED2014 Conference, 1477–1486.
   Google Scholar
• Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017). Why men and women continue to use social networking sites: The role of gender differences. The Journal of Strategic Information Systems, 26(4), 261–284. https://doi.org/10.1016/j.jsis.2017.01.004
   Web of Science ®Google Scholar
• Kuhn, K. M., & Joshi, K. D. (2009). The reported and revealed importance of job attributes to aspiring information technology professionals: A policy-capturing study of gender differences. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 40(3), 40–60. https://doi.org/10.1145/1592401.1592406
   Google Scholar
• Kulturel-Konak, S., Trauth, E. (2012). Information systems and technology education: Perspectives from USA community colleges. AMCIS 2012 Proceedings. http://aisel.aisnet.org/amcis2012/proceedings/ISEducation/6
   Google Scholar
• Kvasny, L. (2006). Let the sisters speak: Understanding information technology from the standpoint of the ‘other’. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 37(4), 13–25. https://doi.org/10.1145/1185335.1185342
   Google Scholar
• Kvasny, L., Greenhill, A., & Trauth, E. M. (2005). Giving voice to feminist projects in management information systems research. International Journal of Technology and Human Interaction, 1(1), 1–18.
   Google Scholar
• Kvasny, L., Trauth, E. M., & Morgan, A. J. (2009). Power relations in IT education and work: The intersectionality of gender, race, and class. Journal of Information, Communication and Ethics in Society, 7(2/3), 96–118. https://doi.org/10.1108/14779960910955828
   Google Scholar
• Lang, C. (2012). Sequential attrition of secondary school student interest in IT courses and careers. Information Technology & People, 25(3), 281–299. https://doi.org/10.1108/09593841211254330
   Web of Science ®Google Scholar
• Laumer, S., Maier, C., Eckhardt, A., & Weitzel, T. (2016). User personality and resistance to mandatory information systems in organizations: A theoretical model and empirical test of dispositional resistance to change. Journal of Information Technology, 31(1), 67–82. https://doi.org/10.1057/jit.2015.17
   Web of Science ®Google Scholar
• LeRouge, C. M., Wiley, J. W., & Maertz, C. P. (2013). A comparison of job satisfaction between it and non-IT women incumbents in clerical, professional, and managerial positions. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 44(2), 39–54. https://doi.org/10.1145/2488968.2488972
   Google Scholar
• Lin, X., Featherman, M., & Sarker, S. (2017). Understanding factors affecting users’ social networking site continuance: A gender difference perspective. Information & Management, 54(3), 383–395. https://doi.org/10.1016/j.im.2016.09.004
   Web of Science ®Google Scholar
• Master, A., Cheryan, S., & Meltzoff, A. N. (2016). Computing whether she belongs: Stereotypes undermine girls’ interest and sense of belonging in computer science. Journal of Educational Psychology, 108(3), 424–437. https://doi.org/10.1037/edu0000061
   Web of Science ®Google Scholar
• McLachlan, C. A., Craig, A., & Coldwell-Neilson, J. (2016). Students’ computing use and study: When more is less. Australasian Journal of Information Systems, 20, 1–17. https://doi.org/10.3127/ajis.v20i0.990
   Google Scholar
• Mishra, D., Ostrovska, S., & Hacaloglu, T. (2017). Exploring and expanding students’ success in software testing. Information Technology & People, 30(4), 927–900. https://doi.org/10.1108/ITP-06-2016-0129
   Web of Science ®Google Scholar
• Molnar, A., & Hava Muntean, C. (2015). What can people risk attitude tell us about people preference for multimedia quality? Information Technology & People, 28(2), 383–404. https://doi.org/10.1108/ITP-11-2013-0199
   Web of Science ®Google Scholar
• Mui, G. Y., Tee, Y. J., & Sien, V. Y. (2013). Perceptions of information communications technology education: A supply-side case of Malaysian private education. PACIS 2013, 208.
   Google Scholar
• Newbery, R., Lean, J., & Moizer, J. (2016). Evaluating the impact of serious games: The effect of gaming on entrepreneurial intent. Information Technology & People, 29(4), 733–749. https://doi.org/10.1108/ITP-05-2015-0111
   Web of Science ®Google Scholar
• Newman, L., Browne-Yung, K., Raghavendra, P., Wood, D., & Grace, E. (2017). Applying a critical approach to investigate barriers to digital inclusion and online social networking among young people with disabilities. Information Systems Journal, 27(5), 559–588. https://doi.org/10.1111/isj.12106
   Web of Science ®Google Scholar
• Niederman, F., Ferratt, T. W., & Trauth, E. M. (2016). On the co-evolution of information technology and information systems personnel. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 47(1), 29–50. https://doi.org/10.1145/2894216.2894219
   Google Scholar
• Nisha, N., Iqbal, M., Rifat, A., & Idrish, S. (2017). Mobile health technology evaluation: Innovativeness and efficacy vs. cost effectiveness. International Journal of Technology and Human Interaction (IJTHI), 13(2), 1–21.
   Web of Science ®Google Scholar
• Nix, S., & Perez-Felkner, L. (2019). Difficulty orientations, gender, and race/ethnicity: An intersectional analysis of pathways to STEM degrees. Social Sciences, 8(2), 43. https://doi.org/10.3390/socsci8020043
   Google Scholar
• Oreglia, E., & Srinivasan, J. (2016). ICT, Intermediaries and the Transformation of gendered power structures. MIS Quarterly, 40(2), 501–510. https://doi.org/10.25300/MISQ/2016/40.2.13
   Web of Science ®Google Scholar
• Panteli, A., Stack, J., Atkinson, M., & Ramsay, H. (1999). The status of women in the UK IT industry: An empirical study. European Journal of Information Systems, 8(3), 170–182. https://doi.org/10.1057/palgrave.ejis.3000326
   Web of Science ®Google Scholar
• Panteli, N. (2012). A community of practice view of intervention programmes: The case of women returning to it. Information Systems Journal, 22(5), 391–405. https://doi.org/10.1111/j.1365-2575.2012.00415.x
   Web of Science ®Google Scholar
• Park, E. K., Lee, K. M., & Shin, D. H. (2015). Social responses to conversational TV VUI - Apology and voice. International Journal of Technology and Human Interaction, 11(1), 17–32. https://doi.org/10.4018/ijthi.2015010102
   Web of Science ®Google Scholar
• Patil, A. (2005). Global Engineering Criteria for the development of the global engineering profession. World Transactions on Engineering and Technology Education, 4(1), 49–52.
   Google Scholar
• Pozzebon, M., Mackrell, D., & Nielsen, S. (2014). Structuration bridging diffusion of innovations and gender relations theories: A case of paradigmatic pluralism in IS research. Information Systems Journal, 24(3), 229–248. https://doi.org/10.1111/isj.12007
   Web of Science ®Google Scholar
• Quesenberry, J. L., & Trauth, E. M. (2012). The (dis)placement of women in the IT workforce: An investigation of individual career values and organisational interventions. Information Systems Journal, 22(6), 457–473. https://doi.org/10.1111/j.1365-2575.2012.00416.x
   Web of Science ®Google Scholar
• Quesenberry, J. L., Trauth, E. M., & Morgan, A. J. (2006). Understanding the “mommy tracks”: A framework for analyzing work-family balance in the IT workforce. Information Resources Management Journal, 19(2), 37–53. https://doi.org/10.4018/irmj.2006040103
   Google Scholar
• Ravishankar, M. N., Pan, S. L., & Myers, M. D. (2013). Information technology offshoring in India: a postcolonial perspective. European Journal of Information Systems, 22(4), 387–482. https://doi.org/10.1057/ejis.2012.32
   Web of Science ®Google Scholar
• Reid, A. J., & Thomas, C. N. (2017). A case study in smartphone usage and gratification in the age of narcissism. International Journal of Technology and Human Interaction, 13(2), 40–56. https://doi.org/10.4018/IJTHI.2017040103
   Web of Science ®Google Scholar
• Reid, M. F., Allen, M. W., Armstrong, D. J., & Riemenschneider, C. K. (2010). Perspectives on challenges facing women in IS: The cognitive gender gap. European Journal of Information Systems, 19(5), 526–539. https://doi.org/10.1057/ejis.2010.30
   Web of Science ®Google Scholar
• Ridley, G., & Young, J. (2012). Theoretical approaches to gender and it: Examining some Australian evidence. Information Systems Journal, 22(5), 355–373. https://doi.org/10.1111/j.1365-2575.2012.00413.x
   Web of Science ®Google Scholar
• Riemenschneider, C. K., Armstrong, D. J., Allen, M. W., & Reid, M. F. (2006). Barriers facing women in the IT work force. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 37(4), 58–78. https://doi.org/10.1145/1185335.1185345
   Google Scholar
• Ross, J. (2007). Perhaps the greatest grand challenge: Improving the image of computing. Computing Research News, 19(5).
   Google Scholar
• Smith, K., Mendez, F., & White, G. (2014). Narcissism as a predictor of Facebook users privacy concern, vigilance, and exposure to risk. International Journal of Technology and Human Interaction, 10(2), 18. https://doi.org/10.4018/ijthi.2014040105
   Google Scholar
• Tapia, A. H. (2006). Hostile Work Environment.com: Increasing participation of underrepresented groups, lessons learned from the Dot-Com Era. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 37(4), 79–98. https://doi.org/10.1145/1185335.1185346
   Google Scholar
• Timms, C., Lankshear, C., Anderson, N., & Courtney, L. (2008). Riding a hydra: Women ICT professionals’ perceptions of working in the Australian ICT industry. Information Technology & People, 21(2), 155–177. https://doi.org/10.1108/09593840810881060
   Google Scholar
• Trauth, E. M. (2002). Odd girl out: An individual differences perspective on women in the IT profession. Information Technology & People, 15(2), 98–118. https://doi.org/10.1108/09593840210430552
   Google Scholar
• Trauth, E. M. (2012). Are there enough seats for women at the IT table? ACM Inroads, 3(4), 49–54. https://doi.org/10.1145/2381083.2381099
   Google Scholar
• Trauth, E. M. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4), 277–293. https://doi.org/10.1016/j.infoandorg.2013.08.003
   Web of Science ®Google Scholar
• Trauth, E. M., & Howcroft, D. (2006a). Critical empirical research in IS: An example of gender and the IT workforce. Information Technology & People, 19(3), 272–292. https://doi.org/10.1108/09593840610689859
   Google Scholar
• Trauth, E. M., Cain, C. C., Joshi, K. D., Kvasny, L., & Booth, K. M. (2016). The influence of gender-ethnic intersectionality on gender stereotypes about IT skills and knowledge. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 47(3), 9–46. https://doi.org/10.1145/2980783.2980785
   Google Scholar
• Trauth, E. M., Quesenberry, J. L., & Huang, H. (2008). A multicultural analysis of factors influencing career choice for women in the information technology workforce. Journal of Global Information Management, 16(4), 1–23. https://doi.org/10.4018/jgim.2008100101
   Web of Science ®Google Scholar
• Trauth, E. M., Quesenberry, J. L., & Yeo, B. (2008). Environmental influences on gender in the IT workforce. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 39(1), 8–32. https://doi.org/10.1145/1341971.1341975
   Google Scholar
• Trauth, E., Quesenberry, J., Huang, H., & McKnight, S. (2008). Linking economic development and workforce diversity through action research. Proceedings of the 2008 ACM SIGMIS CPR Conference on Computer Personnel Doctoral Consortium and Research, 0077, 58–65. https://doi.org/10.1145/1355238.1355252
   Google Scholar
• Venkatesh, V., Sykes, T. A., & Venkatraman, S. (2014). Understanding e-Government portal use in rural India: Role of demographic and personality characteristics. Information Systems Journal, 24(3), 249–269. https://doi.org/10.1111/isj.12008
   Web of Science ®Google Scholar
• Venkatesh, V., Windeler, J. B., Bartol, K. M., & Williamson, I. O. (2017). Person-organization and person-job fit perceptions of new it employees: Work outcomes and gender differences. MIS Quarterly, 41(2), 525–558. https://doi.org/10.25300/MISQ/2017/41.2.09
   Web of Science ®Google Scholar
• von Hellens, L., Trauth, E., & Fisher, J. (2012). Editorial. Information Systems Journal, 22(5), 343–353. https://doi.org/10.1111/j.1365-2575.2012.00412.x
   Web of Science ®Google Scholar
• Wijayawardena, K., Wijewardena, N., & Samaratunge, R. (2017). Compromising gender identities: Stay strategies of women in gender-atypical information technology firms in Sri Lanka. Information Technology & People, 30(2), 246–264. https://doi.org/10.1108/ITP-01-2016-0012
   Web of Science ®Google Scholar
• Wilson, C., Sudol, L. A., Stephenson, C., & Stehlik, M. (2011). Running on empty: The failure to teach K-12 computer science in the digital age. Inquiry: A Journal of Medical Care Organization, Provision and Financing, 48(3), 177–182. https://doi.org/10.1002/bies.201100050
   Google Scholar
• Windeler, J. B., & Riemenschneider, C. K. (2016). The influence of ethnicity on organizational commitment and merit pay of IT workers: The role of leader support. Information Systems Journal, 26(2), 157–190. https://doi.org/10.1111/isj.12058
   Web of Science ®Google Scholar
• Woodfield, R. (2002). Woman and information systems development: Not just a pretty (inter)face? Information Technology & People, 15(2), 119–138. https://doi.org/10.1108/09593840210430561
   Google Scholar
• Xu, B., Xu, Z., & Li, D. (2016). Internet aggression in online communities: A contemporary deterrence perspective. Information Systems Journal, 26(6), 641–667. https://doi.org/10.1111/isj.12077
   Web of Science ®Google Scholar
• Yeganehfar, M., Zarei, A., Isfandyari-Mogghadam, A. R., & Famil-Rouhani, A. A. (2018). Justice in technology policy: A systematic review of gender divide literature and the marginal contribution of women on ICT. Journal of Information, Communication and Ethics in Society, 16(2), 123–137. https://doi.org/10.1108/JICES-06-2017-0038
   Web of Science ®Google Scholar
• Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904–914. https://doi.org/10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar