Work–Life Conflict of Globally Distributed Software Development Personnel: An Empirical Investigation Using Border Theory

Published Online:https://doi.org/10.1287/isre.2017.0734

References

  • 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. MIS Quart. 31(1):1–17.CrossrefGoogle Scholar
  • Allen TD (2001) Family-supportive work environments: The role of organizational perceptions. J. Vocational Behav. 58(3):414–435.CrossrefGoogle Scholar
  • Allen TD, Herst DEL, Bruck CS, Sutton M (2000) Consequences associated with work-to-family conflict: A review and agenda for future research. J. Occupational Health Psych. 5:278–308.CrossrefGoogle Scholar
  • Armstrong DJ, Riemenschneider C, Reid M, Allen M (2007) Voluntary turnover and women in IT: A cognitive study of work-family conflict. Inform. Management 44(2):142–153.CrossrefGoogle Scholar
  • Aryee S (1992) Antecedents and outcomes of work-family conflict among married professional women: Evidence from Singapore. Human Relations 45(8):813–837.CrossrefGoogle Scholar
  • Aryee S, Srinivas ES, Tan HH (2005) Rhythms of life: Antecedents and outcomes of work-family balance in employed parents. J. Appl. Psych. 90(1):132–146.CrossrefGoogle Scholar
  • Aryee S, Luk V, Leung A, Lo S (1999) Role stressors, interrole conflict, and well-being: The moderating influence of spousal support and coping behaviours among employed parents in Hong Kong. J. Vocational Behav. 54(2):259–278.CrossrefGoogle Scholar
  • Balaji S, Ahuja MK (2005) Critical team-level success factors of offshore outsourced projects: A knowledge integration perspective. Sprague R Jr, ed. Proc. 38th Annual Hawaii Internat. Conf. (IEEE, Los Alamitos, CA), 52–59.Google Scholar
  • Beauregard TA, Henry LC (2009) Making the link between work-life balance practices and organizational performance. Human Resource Management Rev. 19(1):9–22.CrossrefGoogle Scholar
  • Bennett JB, Patterson CR, Witala W, Woo A (2006) Social risks for at-risk drinking in young workers: Application of work-life border theory. J. Drug Issues 36(3):485–514.CrossrefGoogle Scholar
  • Bhattacharya A, Premkumar G (2004) Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quart. 28(2):229–254.CrossrefGoogle Scholar
  • Bishop JW, Scott KD, Burroughs SM (2000) Support, commitment, and employee outcomes in a team environment. J. Management 26(6):1113–1132.Google Scholar
  • Bloom N, Kretschmer T, Van Reenan J (2009) Work-life balance, management practices and productivity. Freeman RB, Shaw KL, eds. International Differences in the Business Practices and Productivity of Firms (University of Chicago Press, Chicago), 15–54.CrossrefGoogle Scholar
  • Brunet-Jailly E (2006) Security and border security policies: Perimeter or smart border? A comparison of the European Union and Canadian-American border security regimes. J. Borderlands Stud. 21(1):3–21.CrossrefGoogle Scholar
  • Burisch M (1984) You don’t always get what you pay for: Measuring depression with short and simple versus long and sophisticated scales. J. Res. Personality 18(1):81–98.CrossrefGoogle Scholar
  • Carmel E, Espinosa JA (2011) I’m Working While They’re Sleeping: Time Zone Separation Challenges and Solutions (Nedder Stream Press, U.S.).Google Scholar
  • Carmel E, Espinosa JA, Dubinsky Y (2010) “Follow the sun” workflow in global software development. J. Management Inform. Systems 27(1):17–38.CrossrefGoogle Scholar
  • Chin WW (1998) Issues and opinion on structural equation modeling. MIS Quart. 22(1):vii–xvi.Google Scholar
  • Clark SC (2000) Work/family border theory: A new theory of work/family balance. Human Relations 53(6):747–770.CrossrefGoogle Scholar
  • Clark SC (2002) Communicating across the work/home border. Community Work Family 5(1):23–48.CrossrefGoogle Scholar
  • Conchúir EÓ, Ågerfalk PJ, Olsson HH, Fitzgerald B (2009) Global software development: Where are the benefits? Comm. ACM 52(8):127–131.CrossrefGoogle Scholar
  • Corman SR (1990) A model of perceived communication in collective networks. Management Comm. Res. 16(4):582–602.Google Scholar
  • Cowan RL, Hoffman MF (2007) The flexible organization: How contemporary employees construct the work/life border. Qualitative Res. Reports Comm. 8(1):37–44.CrossrefGoogle Scholar
  • Creswell JW, Clark VL, Garrett AL (2008) Methodological issues in conducting mixed methods research designs. Bergman MM, ed. Advances in Mixed Methods Research (Sage, London), 66–83.Google Scholar
  • Cropanzano R, Mitchell MS (2005) Social exchange theory: An interdisciplinary review. J. Management 31(6):874–900.CrossrefGoogle Scholar
  • Desrochers S, Hilton JM, Larwood L (2005) Preliminary validation of the work-family integration-blurring scale. J. Family Issues 26(4):442–466.CrossrefGoogle Scholar
  • Dierdoff EC, Ellington JK (2008) It’s the nature of the work: Examining behavior-based sources of work-family conflict across occupations. J. Appl. Psych. 93(4):883–892.CrossrefGoogle Scholar
  • Donald F, Linington J (2008) Work/family border theory and gender role orientation in male managers. South African J. Psych. 38(4):659–671.CrossrefGoogle Scholar
  • Duarte PAO, Raposo MLB (2010) A PLS model to study brand preference: An application to the mobile phone market. Esposito Vinzi V, Chin WW, Henseler J, Wang H, eds. Handbook of Partial Least Squares (Springer, Berlin Heidelberg), 449–485.CrossrefGoogle Scholar
  • Dubinsky AJ, Mattson BE (1979) Consequences of role-conflict and ambiguity experienced by retail salespeople. J. Retailing 55(4):70–86.Google Scholar
  • Duxbury L, Higgins C (1994) Interference between work and family: A status report on dual-career and dual-earner mothers and fathers. Employee Assistance Quart. 9(3):55–80.CrossrefGoogle Scholar
  • Duxbury L, Higgins C, Lee C (1994) Work-family conflict: A comparison by gender, family type, and perceived control. J. Family Issues 15(3):449–466.CrossrefGoogle Scholar
  • Eisenberger R, Huntington S, Hutchinson S, Sowa D (1986) Perceived organizational support. J. Appl. Psych. 71(3):500–507.CrossrefGoogle Scholar
  • Erickson J, Lyytinen K, Siau K (2005) Agile modeling, agile software development, and extreme programming: The state of research. J. Database Management 16(4):88–100.CrossrefGoogle Scholar
  • Espinosa JA, Cummings JN, Wilson JM, Pearce BM (2003) Team boundary issues across multiple global firms. J. Management Inform. Systems 19(4):157–190.CrossrefGoogle Scholar
  • Felstead A, Jewson N, Phizacklea A, Walters S (2002) Opportunities to work at home in the context of work-life balance. Human Resource Management J. 12(1):54–76.CrossrefGoogle Scholar
  • Flick U (1998) An Introduction to Qualitative Research (Sage, London).Google Scholar
  • Fornell C, Larcker DF (1981) Evaluating structural equations with unobservable variables and measurement error. J. Marketing Res. 18(1):39–50.CrossrefGoogle Scholar
  • Frone MR (2003) Work-family balance. Quick JC, Tetrick LE, eds. Handbook of Occupational Health Psychology (American Psychological Association, Washington, DC), 143–162.CrossrefGoogle Scholar
  • Gable G (1994) Integrating case study and survey research methods: An example in information systems. Eur. J. Inform. Systems 3(2):112–126.CrossrefGoogle Scholar
  • Gambles R, Lewis S, Rapoport R (2006) The Myth of Work-Life Balance: The Challenge of Our Time for Men, Women, and Societies (John Wiley & Sons, Sussex, UK).CrossrefGoogle Scholar
  • Gefen D, Straub DW (2005) A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Comm. AIS 16(1):91–109.Google Scholar
  • Gefen D, Rigdon EE, Straub DW (2011) Editor’s comment: An update and extension to SEM guidelines for administrative and social science research. MIS Quart. 35(2):iii–xiv.CrossrefGoogle Scholar
  • Gefen D, Straub DW, Boudreau MC (2001) Structural equation modeling techniques and regression: Guidelines for research practice. Comm. AIS 4(7):1–78.Google Scholar
  • Glaser B, Strauss A (1967) Grounded theory: The discovery of grounded theory. Sociol.: J. British Sociol. Assoc. 12:27–49.Google Scholar
  • Goodhue DL, Lewis W, Thompson R (2012) Does PLS have advantages for small sample size or non-normal data? MIS Quart. 36(3):981–1001.CrossrefGoogle Scholar
  • Greeff AP (2000) Characteristics of families that function well. J. Family Issues 21(8):948–962.CrossrefGoogle Scholar
  • Greenhaus JH, Beutell NJ (1985) Sources of conflict between work and family roles. Acad. Management Rev. 10(1):76–88.CrossrefGoogle Scholar
  • Greenhaus JH, Parasuraman S, Granrose CS, Rabinowitz S, Beutell NJ (1989) Sources of work-family conflict among two-career couples. J. Vocational Behav. 34(2):133–153.CrossrefGoogle Scholar
  • Guest DE (2002) Perspectives on the study of work-life balance. Soc. Sci. Inform. 41(2):255–279.CrossrefGoogle Scholar
  • Gutek BA, Searle S, Klepa LL (1991) Rational versus gender role explanations for work-family conflict. J. Appl. Psych. 76(4):560–568.CrossrefGoogle Scholar
  • Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: Indeed a silver bullet. J. Marketing Theory Practice 19(2):139–152.CrossrefGoogle Scholar
  • Hall DT, Richter J (1988) Balancing work life and home life: What can organizations do to help? Acad. Management Executive 2:212–223.CrossrefGoogle Scholar
  • Harrington B, Ladge JJ (2009) Work–life integration: Present dynamics and future directions for organizations. Organ. Dynam. 38(2):148–157.CrossrefGoogle Scholar
  • Hecker D (2004) Occupational employment projections to 2012. Monthly Labor Rev. 127(2):80–105.Google Scholar
  • Higgins CA, Duxbury LE (1992) Work-family conflict: A comparison of dual-career and traditional-career men. J. Organ. Behav. 13(4):389–412.CrossrefGoogle Scholar
  • Hill EJ, Erickson JJ, Holmes EK, Ferris M (2010) Workplace flexibility, work hours, and work-life conflict: Finding an extra day or two. J. Family Psych. 24(3):349–358.CrossrefGoogle Scholar
  • Hill EJ, Hawkins AJ, Ferris M, Weitzman M (2001) Finding an extra day a week: The positive influence of perceived job flexibility on work and family life balance. Family Relations 50(1):49–58.CrossrefGoogle Scholar
  • Hill EJ, Jacob JI, Shannon L, Brennan RT, Blanchard VL, Martinengo G (2008) Exploring the relationship of workplace flexibility, gender, and life stage to family-to-work conflict, and stress and burnout. Community Work Family 11(2):165–181.CrossrefGoogle Scholar
  • Hulland J (1999) Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management J. 20(2):195–204.CrossrefGoogle Scholar
  • Hurley M (2001) IT outsourcing—Managing the key asset. Inform. Management Comput. Security 9(5):243–249.CrossrefGoogle Scholar
  • Igbaria M, Parasuraman S, Badawy MK (1994) Work experiences, job involvement, and quality of work life among information systems personnel. MIS Quart. 18(2):175–201.CrossrefGoogle Scholar
  • Ilies R, Schwind K, Wagner D, Johnson MD, DeRue SD, Ilgen DR (2007) When can employees have a family life? The effects of daily workload and affect on work-family conflict and social behaviors at home. J. Appl. Psych. 92(5):1368–1379.CrossrefGoogle Scholar
  • Jablin FM, Putnam LL (2000) The New Handbook of Organizational Communication: Advances in Theory, Research, and Methods (Sage, Thousand Oaks, CA).Google Scholar
  • Jahn EW, Thompson CA, Kopelman RE (2003) Rationale and construct validity evidence for a measure of perceived organizational family support (POFS): Because purported practices may not reflect reality. Community Work Family 6(2):123–140.CrossrefGoogle Scholar
  • Jang SJ (2009) The relationships of flexible work schedules, workplace support, supervisory support, work-life balance, and the well-being of working parents. J. Soc. Service Res. 35(2):93–104.CrossrefGoogle Scholar
  • Johns G (2006) The essential impact of context on organizational behavior. Acad. Management Rev. 31(2):386–408.CrossrefGoogle Scholar
  • Johnson SD (1992) A framework for technology education curricula which emphasizes intellectual processes. J. Tech. Ed. 3(2):29–40.Google Scholar
  • Joseph D, Ng KY, Koh C, Ang S (2007) Turnover of information technology professionals: A narrative review, meta-analytic structural equation modeling, and model development. MIS Quart. 31(3):547–577.CrossrefGoogle Scholar
  • Kinnunen U, Mauno S (1998) Antecedents and outcomes of work-family conflict among employed women and men in Finland. Human Relations 51(2):157–177.CrossrefGoogle Scholar
  • Kock N (2011) Using WarpPLS in e-collaboration studies: Mediating effects, control and second order variables, and algorithm choices. Internat. J. e-Collaboration 7(3):1–13.CrossrefGoogle Scholar
  • Kopelman RE, Greenhaus JH, Connelly TE (1983) A model of work, family, and interrole conflict: A construct validation study. Organ. Behav. Human Performance 32(2):198–215.CrossrefGoogle Scholar
  • Kossek EE, Ozeki C (1998) Bridging the work-family policy and productivity gap: A literature review. Community Work Family2:7–32.CrossrefGoogle Scholar
  • Kossek EE, Lautsch BA, Eaton SC (2004) Flexibility enactment theory: Implications of flexibility type, control, and boundary management for work-family effectiveness. Kossek EE, Lambert SJ, eds. Work and Life Integration: Organizational, Cultural, and Individual Perspectives (Lawrence Erlbaum Associates, Mahwah, NJ),243–261.CrossrefGoogle Scholar
  • Kumari KT, Devi VR (2013) Work-life balance of women employees—A challenge for the employee and the employer in 21st century. Pacific Bus. Rev. Internat. 6(6):33–40.Google Scholar
  • Lacity MC, Iyer VV, Rudramuniyaiah PS (2008) Turnover intentions of Indian IS professionals. Inform. Systems Frontiers 10(2):225–241.CrossrefGoogle Scholar
  • Lambert CH, Kass SJ, Piotrowski C, Vodanovich SJ (2006) Impact factors on work-family balance: Initial support for border theory. Organ. Development J. 24(3):64–75.Google Scholar
  • Lambert J, Agostoni C, Elmadfa I, Hulsof K, Drause E, Livingstone B, Socha P, Pannemans D, Samartins S (2004) Dietary intake and nutritional status of children and adolescents in Europe. British J. Nutrition 92(2):147–211.CrossrefGoogle Scholar
  • Lambert SJ (1990) Process linking work and family: A critical review and research agenda. Human Relations 43(3):239–257.CrossrefGoogle Scholar
  • Lee OKD, Banerjee P, Lim KH, Kumar K, Hillegersberg JV, Wei KK (2006) Aligning IT components to achieve agility in globally distributed system development. Comm. ACM 49(10):49–54.CrossrefGoogle Scholar
  • Lewin K (1966) Principles of Topological Psychology [Trans. F. Heider, G. Heider] (McGraw-Hill, New York).Google Scholar
  • Lindell MK, Whitney DJ (2001) Accounting for common method variance in cross-sectional research designs. J. Appl. Psych. 86(1):114–121.CrossrefGoogle Scholar
  • Lyness KS, Judiesch MK (2008) Can a manager have a life and a career? International and multisource perspectives on work-life balance and career advancement potential. J. Appl. Psych. 93(4):789–805.CrossrefGoogle Scholar
  • Lyonette C, Crompton R, Wall K (2007) Gender, occupational class and work-life conflict: A comparison of Britain and Portugal. Community Work Family 10(3):283–308.CrossrefGoogle Scholar
  • Messersmith J (2007) Managing WLC among information technology workers. Human Resource Management 46(3):429–451.CrossrefGoogle Scholar
  • Meyer J, Allen N (1997) Commitment in the Workplace: Theory, Research and Application (Sage, Thousand Oaks, CA).Google Scholar
  • Meyer MH, Seliger R (1998) Product platforms in software development. Sloan Management Rev. 40(1):61–74.Google Scholar
  • Mitchell TR, Holtom BC, Lee TW, Sablynski CJ, Erez M (2001) Why people stay: Using job embeddedness to predict voluntary turnover. Acad. Management J. 44(6):1102–1121.CrossrefGoogle Scholar
  • Moore JE (2000) One road to turnover: An examination of work exhaustion in technology professionals. MIS Quart. 24(1):141–168.CrossrefGoogle Scholar
  • Navarrete AC, Mellouli S, Pardo TA, Gil-Garcia JR (2009) Information sharing at national borders: Extending the utility of border theory. Proc. 42nd Hawaii Internat. Conf. System Sci. (IEEE Computing Society, Washington, DC).Google Scholar
  • Netemeyer RG, Boles JS, McMurrian R (1996) Development and validation of work-family conflict family-work conflict scales. J. Appl. Psych. 81(4):400–410.CrossrefGoogle Scholar
  • Netemeyer RG, Brashear-Alejandro T, Boles JS (2004) A cross-national model of job-related outcomes of work role and family role variables: A retail sales context. Acad. Marketing Sci. 32(1):49–60.CrossrefGoogle Scholar
  • Nidumolu SR (1995) The effect of coordination and uncertainty on software project performance: Residual performance risk as an intervening variable. Inform. Systems Res. 6(3):191–219.LinkGoogle Scholar
  • Nidumolu SR (1996) Standardization, requirements uncertainty, and software project performance. Inform. Management 31(3):135–150.CrossrefGoogle Scholar
  • Nord WR, Fox S, Phoenix A, Viano K (2002) Real-world reactions to work-life balance programs: Lessons for effective implementation. Organ. Dynam. 30(3):223–238.CrossrefGoogle Scholar
  • O’Leary M, Cummings JN (2007) The spatial, temporal, and configurational characteristics of geographic dispersion in work teams. MIS Quart. 31(3):433–452.CrossrefGoogle Scholar
  • Oshri I, Kotlarsky J, Willcoks LP (2009) The Handbook of Global Outsourcing and Offshoring (Macmillan, London).CrossrefGoogle Scholar
  • Parasuraman S, Simmers C (2001) Type of employment, work-family conflict and well-being: A comparative study. J. Organ. Behav. 22(5):551–568.CrossrefGoogle Scholar
  • Parasuraman S, Purohit YS, Godshalk VM (1996) Work and family variables, entrepreneurial career success and psychological well-being. J. Vocational Behav. 48(3):275–300.CrossrefGoogle Scholar
  • Piotrkowski CS (1979) Work and the Family System (Free Press, New York).Google Scholar
  • Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psych. 88(5):879–903.CrossrefGoogle Scholar
  • Poelmans S, Odle-Dusseau H, Beham B (2009) Work-life balance: Individual, organizational strategies and practices. Cartwright S, Cooper CL, eds. The Oxford Handbook of Organizational Well-Being (Oxford University Press, Oxford, UK), 180–213.Google Scholar
  • Polach J (2003) HRD’s role in work-life integration issues: Moving the workforce to a change in mindset. Human Resource Development Internat. 6(1):57–68.CrossrefGoogle Scholar
  • Postmes T, Haslam SA, Jans L (2013) A single-item measure of social identification: Reliability, validity, and utility. British J. Soc. Psychol. 52(4):597–617.CrossrefGoogle Scholar
  • Premeaux SF, Adkins CL, Mossholder KW (2007) Balancing work and family: A field study of multi-dimensional, multi-role work-family conflict. J. Organ. Behav. 28:705–727.CrossrefGoogle Scholar
  • Pugliesi K (1999) The consequences of emotional labor: Effects on work stress, job satisfaction, and well-being. Motivation Emotion 23(2):125–154.CrossrefGoogle Scholar
  • Quesenberry JL, Trauth EM (2010) The role of ubiquitous computing in maintaining work-life balance: Perspectives from women in the IT workforce. Sorensen C, Yoo Y, Lyytinen K, DeGross JI, eds. Designing Ubiquitous Information Environments: Socio-Technical Issues and Challenges (Springer Science+Business Media, New York), 43–55.Google Scholar
  • Radmacher SA, Sheridan CL (1995) An investigation of the demand–control model of job strain. Sauter SL, Murphy LR, eds. Organizational Risk Factors for Job Stress (American Psychological Association, Washington, DC), 127–138.CrossrefGoogle Scholar
  • Richman AL, Civian JT, Shannon LL, Hill EJ, Brennan RT (2008) The relationship of perceived flexibility to employee engagement and expected retention. Community Work Family 11(2):183–197.CrossrefGoogle Scholar
  • Ringle CM, Sarstedt M, Straub DW (2012) Editor’s comments: A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quart. 36(1):iii–xiv.CrossrefGoogle Scholar
  • Robins RW, Hendin HM, Trzesniewski KH (2001) Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg self-esteem scale. Personality Soc. Psych. Bull. 27(2):151–161.CrossrefGoogle Scholar
  • Robinson M, Kalakota R (2004) Offshore Outsourcing: Business Models, ROI and Best Practices (Mivar Press, Alpharetta, GA).Google Scholar
  • Ronkko M, Ylitalo YJ (2011) PLS marker variable approach to diagnosing and controlling for method variance. ICIS 2011 Proc., Shanghai, China.Google Scholar
  • Saavedra R, Early P, Van Dyne L (1993) Complex interdependence in task-performing groups. J. Appl. Psych. 78(1):61–72.CrossrefGoogle Scholar
  • Sarker S (2016) Building on Davison and Martinsons’ concerns: A call for balance between contextual specificity and generality in IS research. J. Inform. Tech. 31(3):250–253.CrossrefGoogle Scholar
  • Sarker S, Sahay S (2004) Implications of space and time for distributed work: An interpretive study of Norwegian systems development teams. Eur. J. Inform. Systems 13(1):3–20.CrossrefGoogle Scholar
  • Sarker S, Sarker S (2009) Exploring agility in distributed information systems development teams: An interpretive study in an offshoring context. Inform. Systems Res. 20(3):440–461.LinkGoogle Scholar
  • Sarker S, Sarker S, Jana D (2010) The impact of the nature of globally distributed work arrangement on WLC and valence. Eur. J. Inform. Systems 19(2):209–222.CrossrefGoogle Scholar
  • Sarker S, Xiao X, Beaulieu T (2014) Guest editorial: Qualitative studies in information systems: A critical review and some guiding principles. MIS Quart. 37(4):iii–xviii.Google Scholar
  • Sarker S, Xiao X, Sarker S, Ahuja M (2012) Managing employees’ use of mobile technologies to minimize work-life balance impacts. MIS Quart. Executive 11(4):143–157.Google Scholar
  • Schmidt H, Poernomo I, Reussner R (2001) Trust-by-contract: Modelling, analysing and predicting behaviour of software architectures. Trans. SDPS 5(3):25–51.Google Scholar
  • Scholarios D, Marks A (2004) Work-life balance and the software worker. Human Resource Management J. 14(2):54–74.CrossrefGoogle Scholar
  • Schwartz SH (2006) A theory of cultural value orientations: Explication and applications. Comparative Sociol. 5(2):137–182.CrossrefGoogle Scholar
  • Schwartz SH (2009) Culture matters: National value, cultures, sources and consequences. Chiu C-Y, Hong YY, Shavitt S, Wyer RS Jr, eds. Understanding Culture: Theory, Research and Application (Psychology Press, New York), 127–150.Google Scholar
  • Schwartz SH (2014) National culture as value orientations: Consequences of value differences and cultural distance. Ginsburgh V, Throsby D, eds. Handbook of the Economics of Art and Culture, Vol. 2 (North-Holland, Oxford, UK), 547–586.CrossrefGoogle Scholar
  • Stohl C (2001) Globalizing organizational communication. Jablin EM, Putman LL, eds. The New Handbook of Organizational Communication: Advances in Theory, Research, and Methods (Sage, Thousand Oaks, CA), 323–375.CrossrefGoogle Scholar
  • Tashakkori A, Teddlie C (1998) Mixed Methodology: Combining Qualitative and Quantitative Approaches, Vol. 46 (Sage, Thousand Oaks, CA).Google Scholar
  • Thomas LT, Ganster DC (1995) Impact of family-supportive work variables on work-family conflict and strain: A control perspective. J. Appl. Psych. 80(1):6–15.CrossrefGoogle Scholar
  • Thompson CA, Jahn EW, Kopelman RE, Prottas DJ (2004) Perceived organizational family support: A longitudinal and multilevel analysis. J. Managerial Issues 16(4):545–565.Google Scholar
  • Thompson JD (1967) Organizations in Action (McGraw-Hill, New York).Google Scholar
  • Tompson HB, Werner JM (1997) The impact of role conflict/facilitation on core and discretionary behaviors: Testing a meditational model. J. Management 23(4):583–601.Google Scholar
  • Tripp JF, Riemenschneider C, Thatcher JB (2016) Job satisfaction in agile development teams: Agile development as work redesign. J. Assoc. Inform. Systems 17(4):267–307.Google Scholar
  • Valcour M (2007) Work-based resources as moderators of the relationship between hours and satisfaction with work-family balance. J. Appl. Psych. 92(6):1512–1523.CrossrefGoogle Scholar
  • Venkatesh V, Brown SA, Bala H (2013) Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quart. 37(1):21–54.CrossrefGoogle Scholar
  • Venkatesh V, Brown SA, Sullivan YW (2016) Guidelines for conducting mixed-methods research: An extension and illustration. J. Assoc. Inform. Systems 17(7):435–494.Google Scholar
  • Walsham G (1997) Actor-network theory and IS research: Current status and future prospects. Lee AS, Liebenow J, DeGross JI, eds. Information Systems and Qualitative Research (Chapman & Hall, London), 466–480.CrossrefGoogle Scholar
  • Walsham G (2006) Doing interpretive research. Eur. J. Inform. Systems 15(3):320–330.CrossrefGoogle Scholar
  • Xia W, Lee G (2005) Complexity of information systems development projects: Conceptualization and measurement development. J. Management Inform. Systems 22(1):45–83.CrossrefGoogle Scholar
  • Yin RK (1994) Case Study Research: Design and Methods (Sage, Beverly Hills, CA).Google Scholar
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