Peer Influence and IT Career Choice

Published Online:https://doi.org/10.1287/isre.2019.0416

References

  • Achen CH (1986) The Statistical Analysis of Quasi-Experiments (University of California Press, Berkeley, CA).CrossrefGoogle Scholar
  • Adams RB, Ragunathan V (2017) Lehman sisters. Preprint, submitted January 1, https://ssrn.com/abstract=3046451.Google Scholar
  • Agarwal S, Ambrose BW, Chomsisengphet S, Liu C (2007) Asymmetric information in dynamic contract settings: Evidence from the home equity credit market, No. 2007–10, FDIC Center for Financial Research, Arlington, VA.Google Scholar
  • Ahuja MK (2002) Women in the information technology profession: A literature review, synthesis and research agenda. Eur. J. Inform. Systems 11(1):20–34.CrossrefGoogle Scholar
  • Ahuja MK, Chudoba KM, Kacmar CJ, Mcknight DH, George JF (2007) IT road warriors: Balancing Work-family conflict, job autonomy, and work overload to mitigate turnover intentions. Management Inform. Systems Quart. 31(1):1–17.CrossrefGoogle Scholar
  • Ai C, Norton EC (2003) Interaction terms in logit and probit models. Econom. Lett. 80(1):123–129.CrossrefGoogle Scholar
  • Aiken LS, West SG (1991) Multiple Regression: Testing and Interpreting Interactions (Sage Publications, Newbury Park, CA).Google Scholar
  • Alsop T (2021) Information technology (IT) worldwide spending from 2005 to 2022. Retrieved November 24, 2021, https://www.statista.com/statistics/203935/overall-it-spending-worldwide/.Google Scholar
  • Aral S, Walker D (2012) Identifying influential and susceptible members of social networks. Science 337(6092):337–341.CrossrefGoogle Scholar
  • Aral S, Muchnik L, Sundararajan A (2009) Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc. National Acad. Sci. USA 106(51):21544–21549.CrossrefGoogle Scholar
  • Araújo-Pinzón P, Álvarez-Dardet C, Ramón-Jerónimo JM, Flórez-López R (2017) Women and inter-organizational boundary spanning: A way into upper management? Eur. Res. Management Bus. Econom. 23(2):70–81.CrossrefGoogle Scholar
  • Bapna R, Umyarov A (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902–1920.LinkGoogle Scholar
  • Bapna R, Langer N, Mehra A, Gopal R, Gupta A (2013) Human capital investments and employee performance: An analysis of IT services industry. Management Sci. 59(3):641–658.LinkGoogle Scholar
  • Beaman L, Magruder J (2012) Who gets the job referral? Evidence from a social networks experiment. Amer. Econom. Rev. 102(7):3574–3593.CrossrefGoogle Scholar
  • Beck R, Harter J (2014) Why good managers are so rare. Retrieved November 11, 2021, http://blogs.hbr.org/2014/03/why-go.Google Scholar
  • Bharathi VS, Mala PE, Bhattacharya S (2015) Work life balance of women employees in the information technology industry. Asian J. Management Res. 5(3):323–343.Google Scholar
  • Bloom N, Mahajan A, McKenzie D, Roberts J (2010) Why do firms in developing countries have low productivity? Amer. Econom. Rev. Paper Proc. 100(2):619–623.Google Scholar
  • Bloom N, Eifert B, Mahajan A, McKenzie D, Roberts J (2013) Does management matter? Evidence from India. Quart. J. Econom. 128(1):1–51.CrossrefGoogle Scholar
  • Brynjolfsson E, Hitt L (1996) Paradox Lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4):541–558.LinkGoogle Scholar
  • Calvó-Armengol A (2004) Job contact networks. J. Econom. Theory 115(1):191–206.CrossrefGoogle Scholar
  • Card D, Giuliano L (2013) Peer effects and multiple equilibria in the risky behavior of friends. Rev. Econom. Statistics 95(4):1130–1149.Google Scholar
  • Chandrasekhar AG, Lewis R (2016) Econometrics of Sampled Networks (Stanford University, Stanford, CA).Google Scholar
  • Chatla S, Shmueli G (2016) Linear probability models (LPM) and big data: The good, the bad, and the ugly. Preprint, submitted October 11, https://dx.doi.org/10.2139/ssrn.2353841.Google Scholar
  • Cohen J (1960) A coefficient of agreement for nominal scales. Ed. Psych. Measures 20(1):37–46.CrossrefGoogle Scholar
  • Eisenhart MA (1985) Women choose their careers: A study of natural decision making. Rev. High. Ed. 8(3):247–270.CrossrefGoogle Scholar
  • Fulmer RM, Hanson B (2010) Do techies make good leaders? Retrieved November 24, 2021, https://www.wsj.com/articles/SB10001424052748704548604575097531072898668.Google Scholar
  • Garg R, Telang R (2018) To be or not to be linked: Online social networks and job search by unemployed workforce. Management Sci. 64(8):3469–3970.Google Scholar
  • Gee LK, Jones J, Burke M (2017) Social networks and labor markets: How strong ties relate to job finding on Facebook’s social network. J. Labor Econom. 35(2):485–518.CrossrefGoogle Scholar
  • Gneezy U, Niederle M, Rustichini A (2003) Performance in competitive environments: Gender differences. Quart. J. Econom. 118(3):1049–1074.CrossrefGoogle Scholar
  • Granovetter M (1973) The strength of weak ties. Amer. J. Sociol. 78(6):1360–1380.CrossrefGoogle Scholar
  • Granovetter M (1995) Getting a Job: A Study of Contacts and Careers (University of Chicago Press, Chicago).CrossrefGoogle Scholar
  • Gross G (2016) Gartner sees 2.9 percent growth in IT spending in 2017. Retrieved November 11, 2021, https://www.computerworld.com.au/article/608814/gartner-sees-2-9-percent-growth-it-spending-2017/.Google Scholar
  • Gurumurthy R, Schatsky D, Camhi J (2020) Uncovering the Connection Between Digital Maturity and Financial Performance: How Digital Transformation Can Lead to Sustainable High Performance (Deloitte Insights).Google Scholar
  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.CrossrefGoogle Scholar
  • Hindu (2021) Indian IT is on track to hit $300-350 billion revenues by 2025, says Nasscom. Retrieved November 11, 2021, https://www.thehindu.com/business/Industry/indian-it-is-on-track-to-hit-300-350-billion-revenues-by-2025-nasscom/article34841940.ece.Google Scholar
  • Jain T, Kapoor M (2015) The impact of study groups and roommates on academic performance. Rev. Econom. Statist. 97(1):44–54.CrossrefGoogle Scholar
  • Jain T, Langer N (2019) Does whom you know matter? Unraveling the influence of peers’ network attributes on academic performance. Econom. Inquiry 57(1):141–161.CrossrefGoogle Scholar
  • Jones TR, Kofoed MS (2020) Do peers influence occupational preferences? Evidence from randomly-assigned peer groups at West Point. J. Public Econom. 184:104154.CrossrefGoogle Scholar
  • Kim K, Mithas S, Whitaker J, Roy P (2014) Industry-specific human capital and wages: Evidence from the business process outsourcing industry. Inform. Systems Res. 25(3):618–638.LinkGoogle Scholar
  • Kremer M, Levy D (2008) Peer effects and alcohol use among college students. J. Econom. Perspective 22(3):189–206.CrossrefGoogle Scholar
  • Langer N, Gopal RD, Bapna R (2020) Onward and upward? An empirical investigation of gender and promotions in information technology services. Inform. Systems Res. 31(2):383–398.LinkGoogle Scholar
  • Langer N, Slaughter SA, Mukhopadhyay T (2014) Project managers’ practical intelligence and project performance in software offshore outsourcing: A field study. Inform. Systems Res. 25(2):364–384.LinkGoogle Scholar
  • Lee DMS, Trauth EM, Farwell D (1995) Critical skills and knowledge requirements of IS professionals: A joint academic/industry investigation. Management Inform. Systems Quart. 19(3):313.CrossrefGoogle Scholar
  • Lerner J, Malmendier U (2013) With a little help from my (random) friends: Success and failure in post-business school entrepreneurship. Rev. Financial Stud. 26(10):2411–2452.CrossrefGoogle Scholar
  • Levina N, Vaast E (2005) The emergence of boundary spanning competence in practice: Implications for implementation and use of information systems. Management Inform. Systems Quart. 29(2):335–363.CrossrefGoogle Scholar
  • Luciano MM, Nahrgang JD, Shropshire C (2020) Strategic leadership systems: Viewing top management teams and boards of directors from a multiteam systems perspective. Acad. Management Rev. 45(3):675–701.CrossrefGoogle Scholar
  • Maddala GS (1983) Limited-Dependent and Qualitative Variables in Econometrics (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Manski CF (1993) Identification of endogenous social effects: The reflection problem. Rev. Econom. Stud. 60(3):531–542.CrossrefGoogle Scholar
  • Marmaros D, Sacerdote B (2002) Peer and social networks in job search. Eur. Econom. Rev. 46(4–5):870–879.CrossrefGoogle Scholar
  • Marquardt DW (1970) Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technometrics 12(3):591–612.CrossrefGoogle Scholar
  • McDonald ML, Westphal JD (2003) Getting by with the advice of their friends: CEOs’ advice networks and firms’ strategic responses to poor performance. Admin. Sci. Quart. 48(1):1–32.CrossrefGoogle Scholar
  • McPherson M, Smith-Lovin L, Cook J (2001) Birds of a feather: Homophily in social networks. Annu. Rev. Sociol. 27:415–444.CrossrefGoogle Scholar
  • Mehra A, Langer N, Bapna R, Gopal R (2014) Estimating returns to training in the knowledge economy: A firm-level analysis of small and medium enterprises. Management Inform. Systems Quart. 38(3):1–9.CrossrefGoogle Scholar
  • Mithas S, Krishnan MS (2008) Human capital and institutional effects in the compensation of information technology professionals in the United States. Management Sci. 54(3):415–428.LinkGoogle Scholar
  • Mortensen DT (1986) Job search and labor market analysis. Ashenfelter O, Layard R, eds. Handbook of Labor Economics (Elsevier Science Publishers BV, New York), 849–919.Google Scholar
  • Mortensen DT, Vishwanath T (1994) Personal contacts and earnings. Labour Econom. 1(2):187–201.CrossrefGoogle Scholar
  • Nanda R, Sørensen JB (2010) Workplace peers and entrepreneurship. Management Sci. 56(7):1116–1127.LinkGoogle Scholar
  • NASSCOM (2017a) IT-BPM Industry in India: Sustaining Growth and Investing for the Future (NASSCOM, Delhi, India).Google Scholar
  • NASSCOM (2017b) Jobs and Skills: The Imperative to Reinvent and Disrupt (NASSCOM, Delhi, India).Google Scholar
  • Padma V, Anand NN, Gurukul SS, Javid SS, Prasad A, Arun S (2015) Health problems and stress in information technology and business process outsourcing employees. J. Pharmacy Bioallied Sci. 7(5):9–13.CrossrefGoogle Scholar
  • Plous S (1993) The Psychology of Judgment and Decision Making (McGraw-Hill, New York).Google Scholar
  • Rahmati P, Tafti A, Westland JC, Hidalgo C (2021) When all products are digital: Complexity and intangible value in the ecosystem of digitizing firms. MIS Quart. Management Inform. Systems 45(3):1025–1058.CrossrefGoogle Scholar
  • Rajkumar K, Saint-Jacques G, Bojinov I, Brynjolfsson E, Aral S (2022) A causal test of the strength of weak ties. Science 377(6612):1304–1310.CrossrefGoogle Scholar
  • Rimol M (2021) Gartner forecasts worldwide public cloud end-user spending to grow 18% in 2021. Retrieved April 11, 2021, https://www.gartner.com/en/newsroom/press-releases/2020-11-17-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-grow-18-percent-in-2021.Google Scholar
  • Sabherwal R, Sabherwal S, Havakhor T, Steelman Z (2019) How does strategic alignment affect firm performance? The roles of information technology investment and environmental uncertainty. MIS Quart. Management Inform. Systems 43(2):453–474.CrossrefGoogle Scholar
  • Sacerdote B (2001) Peer effects with random assignment: Results for Dartmouth roommates. Quart. J. Econom. 116(2):681–704.CrossrefGoogle Scholar
  • Sacerdote B (2011) Peer effects in education: How might they work, how big are they and how much do we know thus far? Hanushek E, Machin S, Woessmann L, eds. Handbook of Economic Education, vol. 3 (Elsevier, Amsterdam) 249–277.Google Scholar
  • Sarker S, Ahuja M, Suprateek S (2018) Work–life conflict of globally distributed software development personnel: An empirical investigation using border theory. Inform. Systems Res. 29(1):103–126.LinkGoogle Scholar
  • Shue K (2013) Executive networks and firm policies: Evidence from the random assignment of MBA peers. Rev. Financial Stud. 26(6):1401–1442.CrossrefGoogle Scholar
  • Sprague K (2015) Wanted: More women in technology. Interview, McKinsey Digital. Accessed November 11, 2022, https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/wanted-more-women-in-technology.Google Scholar
  • Subikshaa P, Jasmin KSS (2018) Stress faced by employees in information technology sector in India. Internat. J. Pure Appl. Math. 119(17):201–206.Google Scholar
  • Sudan R, Ayers S, Dongier P, Muente-Kunigami A, Qiang CZW (2010) Assessing and Enhancing Country Competitiveness (World Bank, Washington, DC).Google Scholar
  • Szelényi K, Denson N, Inkelas KK (2013) Women in STEM majors and professional outcome expectations: The role of living-learning programs and other college environments. Res. Higher Ed. 54(8):851–873.CrossrefGoogle Scholar
  • Tambe P, Hitt L (2014) Job hopping, information technology spillovers, and productivity growth. Management Sci. 60(2):338–355.LinkGoogle Scholar
  • Tambe P, Hitt L, Rock D, Brynjolfsson E (2021) Digital capital and superstar firms. Hutchins Center Working Paper No. 73, Hutchins Center on Fiscal & Monetary Policy at The Brookings Institute, Washington, DC.Google Scholar
  • Tarafdar M, D’Arcy J, Turel O, Gupta A (2015) The dark side of information technology. MIT Sloan Management Rev. 56(2):61–70.Google Scholar
  • Van de Ven WPMM, Van Praag BMS (1981) The demand for deductibles in private health insurance. A probit model with sample selection. J. Econometrics 17(2):229–252.CrossrefGoogle Scholar
  • Venkatesh V, Morris GM (2000) Why don’t men ever stop to ask for direction? Gender, social influence and their role in technology acceptance and usage behaviour. Management Inform. Systems Quart 24(1):115–139.CrossrefGoogle Scholar
  • Wuchty S (2009) What is a social tie? Proc. National Acad. Sci. USA 106:15099–15100.CrossrefGoogle Scholar
  • Zimmerman DJ (2003) Peer effects in academic outcomes: Evidence from a natural experiment. Rev. Econ. Stat. 85(1):9–23.CrossrefGoogle Scholar
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