Sprint Zeal or Sprint Fatigue? The Benefits and Burdens of Agile ISD Practices Use for Developer Well-Being

Published Online:https://doi.org/10.1287/isre.2021.1069

References

  • Ågerfalk PJ, Fitzgerald B, Slaughter SA (2009) Flexible and distributed information systems development: State of the art and research challenges. Inform. Systems Res. 20(3):317–328.LinkGoogle Scholar
  • Agile Alliance (2001) Agile manifesto. Accessed October 2021, https://www.agilealliance.org/agile101/the-agile-manifesto.Google Scholar
  • Armstrong DJ, Brooks NG, Riemenschneider CK (2015) Exhaustion from information system career experience: Implications for turn-away intention. Management Inform. Systems Quart. 39(3):713–728.CrossrefGoogle Scholar
  • Austin RD, Devin L (2009) Weighing the benefits and costs of flexibility in making software: Toward a contingency theory of the determinants of development process design. Inform. Systems Res. 20(3):462–477.LinkGoogle Scholar
  • Baham C, Hirschheim R (2021) Issues, challenges, and a proposed theoretical core of agile software development research. Inform. Systems J., ePub ahead of print March 7, https://doi.org/10.1111/isj.12336.CrossrefGoogle Scholar
  • Baham C, Hirschheim R, Calderon AA, Kisekka V (2017) An agile methodology for the disaster recovery of information systems under catastrophic scenarios. J. Management Inform. Systems 34(3):633–663.CrossrefGoogle Scholar
  • Bakker AB, Demerouti E (2008) Toward a model of work engagement. Career Development Internat. 13(3):209–223.CrossrefGoogle Scholar
  • Balbes M (2017) The stress of agile. Application Development Trends (April 14), https://adtmag.com/articles/2017/01/24/stress-of-agile.aspx.Google Scholar
  • Baskerville RL, Myers MD, Yoo Y (2020) Digital first: The ontological reversal and new challenges for information systems research. Management Inform. Systems Quart. 44(2):509–523.CrossrefGoogle Scholar
  • Baumeister RF (2002) Ego depletion and self-control failure: An energy model of the self’s executive function. Self Identity 1(2):129–136.CrossrefGoogle Scholar
  • Beal DJ (2015) ESM 2.0: State of the art and future potential of experience sampling methods in organizational research. Annual Rev. Organ. Psych. Organ. Behav. 2(1):383–407.CrossrefGoogle Scholar
  • Beal DJ, Weiss HM (2003) Methods of ecological momentary assessment in organizational research. Organ. Res. Methods 6(4):440–464.CrossrefGoogle Scholar
  • Beaudry A, Pinsonneault A (2005) Understanding user responses to information technology: A coping model of user adaptation. Management Inform. Systems Quart. 29(3):493–524.CrossrefGoogle Scholar
  • Becker TE (2005) Potential problems in the statistical control of variables in organizational research: A qualitative analysis with recommendations. Organ. Res. Methods 8(3):274–289.CrossrefGoogle Scholar
  • Benlian A (2020) A daily field investigation of technology-driven stress spillovers from work to home. Management Inform. Systems Quart. 44(3):1259–1300.CrossrefGoogle Scholar
  • Blanke ES, Schmidt MJ, Riediger M, Brose A (2020) Thinking mindfully: How mindfulness relates to rumination and reflection in daily life. Emotion 20(8):1369–1381.CrossrefGoogle Scholar
  • Bliese PD (2016) Multilevel Modeling in R (2.6): A Brief Introduction to R, the Multilevel Package and the nlme Package, https://cran.r-project.org/doc/contrib/Bliese_Multilevel.pdf.Google Scholar
  • Bolger N, Davis A, Rafaeli E (2003) Diary methods: Capturing life as it is lived. Annual Rev. Psych. 54(1):579–616.CrossrefGoogle Scholar
  • Branson V, Palmer E, Dry MJ, Turnbull D (2019) A holistic understanding of the effect of stress on adolescent well-being: A conditional process analysis. Stress Health 35(5):626–641.CrossrefGoogle Scholar
  • Bryk AS, Raudenbush SW (1992) Hierarchical Linear Models: Applications and Data Analysis Methods (Sage, Thousand Oaks, CA).Google Scholar
  • Butler BS, Gray PH (2006) Reliability, mindfulness, and information systems. Management Inform. Systems Quart. 30(2):211–224.CrossrefGoogle Scholar
  • Califf CB, Sarker S, Sarker S (2020) The bright and dark sides of technostress: A mixed-methods study involving healthcare it. Management Inform. Systems Quart. 44(2):809–856.CrossrefGoogle Scholar
  • Carlson KD, Wu J (2012) The illusion of statistical control: Control variable practice in management research. Organ. Res. Methods 15(3):413–435.CrossrefGoogle Scholar
  • Carver CS, White TL (1994) Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales. J. Personality Soc. Psych. 67(2):319–333.CrossrefGoogle Scholar
  • Chandrasekaran S, Comella-Dorda S, Goldman N, Krishnakanthan K, Speksnijder G, Tandon M (2016) Agile compendium. McKinsey & Company, accessed October 2021, https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/agile-compendium.Google Scholar
  • Chong DSF, Eerde WV, Chai KH, Rutte CG (2011) A double-edged sword: The effects of challenge and hindrance time pressure on new product development teams. IEEE Trans. Engrg. Management 58(1):71–86.CrossrefGoogle Scholar
  • Ciancarini P, Missiroli M, Sillitti A (2019) Preferred tools for agile development: A sociocultural perspective. Mazzara M, Bruel J-M, Meyer B, Petrenko A, eds. Proc. Software Tech. Methods Tools (Springer, Cham, Switzerland), 43–58.CrossrefGoogle Scholar
  • Cockburn A (2006) Agile Software Development (Addison-Wesley, Reading, MA).Google Scholar
  • Collabnet (2019) 13th Annual State of Agile Survey Report, Accessed October 2021, https://www.stateofagile.com/#ufh-i-521251909-13th-annual-state-of-agile-report/473508.Google Scholar
  • Cooper CL, Dewe PJ, O’Driscoll MP (2001) Organizational Stress (Sage Publications, Thousand Oaks, CA).Google Scholar
  • Cram WA, Marabelli M (2018) Have your cake and eat it too? Simultaneously pursuing the knowledge-sharing benefits of agile and traditional development approaches. Inform. Management 55(3):322–339.CrossrefGoogle Scholar
  • Crawford ER, Lepine JA, Rich BL (2010) Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test. J. Appl. Psych. 95(5):834–848.CrossrefGoogle Scholar
  • Darino L, Sieberer M, Vos A, Williams O (2019) Performance management in agile organizations. McKinsey & Company (April 29), https://www.mckinsey.com/business-functions/organization/our-insights/performance-management-in-agile-organizations.Google Scholar
  • Diener E (1984) Subjective well-being. Psych. Bull. 95(3):542–575.CrossrefGoogle Scholar
  • Diener E, Suh EM, Lucas RE, Smith HL (1999) Subjective well-being: Three decades of progress. Psych. Bull. 125(2):276–302.CrossrefGoogle Scholar
  • Dikert K, Paasivaara M, Lassenius C (2016) Challenges and success factors for large-scale agile transformations: A systematic literature review. J. Systems Software 119(2016):87–108.CrossrefGoogle Scholar
  • Enders CK (2010) Applied Missing Data Analysis (Guilford Press, New York).Google Scholar
  • Fisher CD, To ML (2012) Using experience sampling methodology in organizational behavior. J. Organ. Behav. 33(7):865–877.CrossrefGoogle Scholar
  • Fitzgerald B, Hartnett G, Conboy K (2006) Customising agile methods to software practices at Intel Shannon. Eur. J. Inform. Systems 15(2):200–213.CrossrefGoogle Scholar
  • Fortmann-Müller L (2018) Energizing or depleting? Understanding the effects of agile methodologies on individual software developers' resources. Proc. Thirty-Ninth Internat. Conf. Inform. Systems (San Francisco), https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1339&context=icis2018.Google Scholar
  • Gabriel AS, Podsakoff NP, Beal DJ, Scott BA, Sonnentag S, Trougakos JP, Butts MM (2019) Experience sampling methods: A discussion of critical trends and considerations for scholarly advancement. Organ. Res. Methods 22(4):969–1006.CrossrefGoogle Scholar
  • Garland EL, Farb NA, Goldin PR, Fredrickson BL (2015) The mindfulness-to-meaning theory: Extensions, applications, and challenges at the attention–appraisal–emotion interface. Psych. Inquiry 26(4):377–387.CrossrefGoogle Scholar
  • Hagger MS, Wood C, Stiff C, Chatzisarantis NLD (2010) Ego depletion and the strength model of self-control: A meta-analysis. Psych. Bull. 136(4):495–525.CrossrefGoogle Scholar
  • Hargrove MB, Nelson DL, Cooper CL (2013) Generating eustress by challenging employees: Helping people savor their work. Organ. Dynamics 42(1):61–69.CrossrefGoogle Scholar
  • Harris ML, Collins RW, Hevner AR (2009) Control of flexible software development under uncertainty. Inform. Systems Res. 20(3):400–419.LinkGoogle Scholar
  • Hayes AF (2015) An index and test of linear moderated mediation. Multivariate Behav. Res. 50(1):1–22.CrossrefGoogle Scholar
  • Hemon-Hildgen A, Rowe F, Monnier-Senicourt L (2020) Orchestrating automation and sharing in DevOps teams: A revelatory case of job satisfaction factors, risk and work conditions. Eur. J. Inform. Systems 29(5):474–499.CrossrefGoogle Scholar
  • Hobfoll SE (1989) Conservation of resources: A new attempt at conceptualizing stress. Amer. Psych. 44(3):513–524.CrossrefGoogle Scholar
  • Hofmann DA, Gavin MB (1998) Centering decisions in hierarchical linear models: Implications for research in organizations. J. Management 24(5):623–641.Google Scholar
  • Hülsheger UR, Alberts HJEM, Feinholdt A, Lang JWB (2013) Benefits of mindfulness at work: The role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. J. Appl. Psych. 98(2):310–325.CrossrefGoogle Scholar
  • Jensen ML, Dinger M, Wright RT, Thatcher JB (2017) Training to mitigate phishing attacks using mindfulness techniques. J. Management Inform. Systems 34(2):597–626.CrossrefGoogle Scholar
  • Kahn WA (1990) Psychological conditions of personal engagement and disengagement at work. Acad. Management J. 33(4):692–724.CrossrefGoogle Scholar
  • Kahn WA (1992) To be fully there: Psychological presence at work. Human Relations 45(4):321–349.CrossrefGoogle Scholar
  • Klein KJ, Kozlowski SWJ (2000) Multilevel Theory, Research, and Methods in Organizations (Jossey–Bass, San Francisco).Google Scholar
  • Kude T, Mithas S, Schmidt CT, Heinzl A (2019) How pair programming influences team performance: The role of backup behavior, shared mental models, and task novelty. Inform. Systems Res. 30(4):1145–1163.LinkGoogle Scholar
  • Kudesia RS (2019) Mindfulness as metacognitive practice. Acad. Management Rev. 44(2):405–423.CrossrefGoogle Scholar
  • Lanaj K, Foulk TA, Erez A (2019) Energizing leaders via self-reflection: A within-person field experiment. J. Appl. Psych. 104(1):1–18.CrossrefGoogle Scholar
  • Lanaj K, Johnson RE, Barnes CM (2014) Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organ. Behav. Human Decision Processes 124(1):11–23.CrossrefGoogle Scholar
  • Langer EJ (1989) Mindfulness (Addison-Wesley, Reading, MA).Google Scholar
  • Lazarus RS, Folkman S (1984) Stress, Appraisal, and Coping (Springer, New York).Google Scholar
  • Lennard AC, Scott BA, Johnson RE (2019) Turning frowns (and smiles) upside down: A multilevel examination of surface acting positive and negative emotions on well-being. J. Appl. Psychol. 104(9):1164–1180.CrossrefGoogle Scholar
  • Maruping L, Matook S (2020) The multiplex nature of the customer representative role in agile information systems development. Management Inform. Systems Quart. 44(3):1411–1437.CrossrefGoogle Scholar
  • Maruping LM, Venkatesh V, Agarwal R (2009) A control theory perspective on agile methodology use and changing user requirements. Inform. Systems Res. 20(3):377–399.LinkGoogle Scholar
  • McAvoy J, Butler T (2009) The role of project management in ineffective decision making within Agile software development projects. Eur. J. Inform. Systems 18(4):372–383.CrossrefGoogle Scholar
  • McGrath JE (1976) Stress and behavior in organizations. Dunnette MD, ed. Handbook of Industrial and Organizational Psychology (Rand-McNally, Chicago), 1351–1395.Google Scholar
  • Mitchell MS, Greenbaum RL, Vogel RM, Mawritz MB, Keating DJ (2019) Can you handle the pressure? The effect of performance pressure on stress appraisals, self-regulation, and behavior. Acad. Management J. 62(2):531–552.CrossrefGoogle Scholar
  • Moore JE (2000) One road to turnover: An examination of work exhaustion in technology professionals. Management Inform. Systems Quart. 24(1):141–168.CrossrefGoogle Scholar
  • Muraven M, Baumeister RF (2000) Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psych. Bull. 126(2):247–259.CrossrefGoogle Scholar
  • Muthén LK, Muthén BO (1998) Mplus User's Guide [Computer Software Manual, Version 8] (Muthén & Muthén, Los Angeles).Google Scholar
  • Nelson DL, Simmons BL (2003) Health psychology and work stress: A more positive approach. Quick JC, Tetrick LE, eds. Handbook of Occupational Health Psychology (American Psychological Association, Washington, DC), 97–119.CrossrefGoogle Scholar
  • Oishi S, Diener E, Choi D-W, Kim-Prieto C, Choi I (2007) The dynamics of daily events and well-being across cultures: When less is more. J. Personality Soc. Psych. 93(4):685–698.CrossrefGoogle Scholar
  • PMI (2018) 10th Global Project Management Survey. Accessed October 2021, https://www.pmi.org/-/media/pmi/documents/public/pdf/learning/thought-leadership/pulse/pulse-of-the-profession-2018.pdf.Google Scholar
  • Preacher KJ, Zyphur MJ, Zhang Z (2010) A general multilevel SEM framework for assessing multilevel mediation. Psych. Methods 15(3):209–233.CrossrefGoogle Scholar
  • Prem R, Ohly S, Kubicek B, Korunka C (2017) Thriving on challenge stressors? Exploring time pressure and learning demands as antecedents of thriving at work. J. Organ. Behav. 38(1):108–123.CrossrefGoogle Scholar
  • Quinn RW, Spreitzer GM, Lam CF (2012) Building a sustainable model of human energy in organizations: Exploring the critical role of resources. Acad. Management Ann. 6(1):337–396.CrossrefGoogle Scholar
  • Ramesh B, Mohan K, Cao L (2012) Ambidexterity in agile distributed development: An empirical investigation. Inform. Systems Res. 23(2):323–339.LinkGoogle Scholar
  • Reis HT, Wheeler L (1991) Studying social interaction with the Rochester Interaction Record. Zanna MP, ed. Advances in Experimental Social Psychology (Academic Press, San Diego), 270–318.Google Scholar
  • Rosenkranz C, Charaf MC, Holten R (2013) Language quality in requirements development: Tracing communication in the process of information systems development. J. Inform. Tech. 28(3):198–223.CrossrefGoogle Scholar
  • Ryan RM, Frederick C (1997) On energy, personality, and health: Subjective vitality as a dynamic reflection of well-being. J. Personality 65(3):529–565.CrossrefGoogle Scholar
  • Salovaara A, Lyytinen K, Penttinen E (2019) High reliability in digital organizing: Mindlessness, the frame problem, and digital operations. Management Inform. Systems Quart. 43(2):555–578.CrossrefGoogle Scholar
  • Salvagioni DJ, Melanda FN, Mesas AE, Gonzalez AD, Gabani FL, Andrade SM (2017) Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies. PLoS One 12(10):e0185781.CrossrefGoogle Scholar
  • Sarker S, Ahuja M, Sarker 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
  • Selye H (1978) The Stress of Life (McGraw-Hill, New York).Google Scholar
  • Simmons BL, Nelson DL (2007) Eustress at work: Extending the holistic stress model. Nelson DL, Cooper CL, eds. Positive Organizational Behavior (SAGE Publications, London), 40–53.CrossrefGoogle Scholar
  • Singer JD, Willett JB (2003) Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence (Oxford University Press, New York).CrossrefGoogle Scholar
  • Stack Overflow (2018) Developer Survey Results 2018. Accessed October 2021, https://insights.stackoverflow.com/survey/2018.Google Scholar
  • Sun H, Fang Y, Zou H (2016) Choosing a fit technology: Understanding mindfulness in technology adoption and continuance. J. Assoc. Inform. Systems 17(6):377–412.Google Scholar
  • Tarafdar M, Cooper CL, Stich J-F (2019) The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research. Inform. Systems J. 29(1):6–42.CrossrefGoogle Scholar
  • Thatcher JB, Wright RT, Heshan S, Zagenczyk TJ, Klein R (2018) Mindfulness in information technology use: Definitions, distinctions, and a new measure. Management Inform. Systems Quart. 42(3):831–847.CrossrefGoogle 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
  • Trougakos JP, Beal DJ, Cheng BH, Hideg I, Zweig D (2015) Too drained to help: A resource depletion perspective on daily interpersonal citizenship behaviors. J. Appl. Psych. 100(1):227–236.CrossrefGoogle Scholar
  • Tuomivaara S, Lindholm H, Känsälä M (2017) Short-term physiological strain and recovery among employees working with agile and lean methods in software and embedded ICT systems. Internat. J. Human Comput. Interaction 33(11):857–867.CrossrefGoogle Scholar
  • Venkatesh V, Thong JYL, Chan FKY, Hoehle H, Spohrer K (2020) How agile software development methods reduce work exhaustion: Insights on role perceptions and organizational skills. Inform. Systems J. 30(4):733–761.CrossrefGoogle Scholar
  • Vidgen R, Wang X (2009) Coevolving systems and the organization of agile software development. Inform. Systems Res. 20(3):355–376.LinkGoogle Scholar
  • Wallace BA (2006) The Attention Revolution: Unlocking the Power of the Focus Mind (Wisdom Publication, Boston).Google Scholar
  • Wang Y, Huang J, You X (2016) Personal resources influence job demands, resources, and burnout: A one-year, three-wave longitudinal study. Soc. Behav. Personality 44(2):247–258.CrossrefGoogle Scholar
  • Windeler JB, Maruping L, Venkatesh V (2017) Technical systems development risk factors: The role of empowering leadership in lowering developers’ stress. Inform. Systems Res. 28(4):775–796.LinkGoogle Scholar
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