Employee Learning from Failure: A Team-as-Resource Perspective

Published Online:https://doi.org/10.1287/orsc.2018.1255

References

  • Adler PS, Kwon S-W (2002) Social capital: Prospects for a new concept. Acad. Management Rev. 27(1):17–40.CrossrefGoogle Scholar
  • Aguinis H (2004) Regression Analysis for Categorical Moderators (Guilford, New York).Google Scholar
  • Aguinis H, Edwards JR (2014) Methodological wishes for the next decade and how to make wishes come true. J. Management Stud. 51(1):143–174.CrossrefGoogle Scholar
  • Aguinis H, Gottfredson RK, Culpepper SA (2013) Best-practice recommendations for estimating cross-level interaction effects using multilevel modeling. J. Management 39(6):1490–1528.Google Scholar
  • Aiken LS, West SG (1991) Multiple Regression: Testing and Interpreting Interactions (Sage, Newbury Park, CA).Google Scholar
  • Amabile TM (1982) Social psychology of creativity: A consensual assessment technique. J. Personality Soc. Psych. 43(5):997–1013.CrossrefGoogle Scholar
  • Amabile TM (1983) The social psychology of creativity: A componential conceptualization. J. Personality Soc. Psych. 45(2):357–376.CrossrefGoogle Scholar
  • Amabile TM (1988) A model of creativity and innovation in organizations. Staw BM, Sutton R, eds. Research in Organizational Behavior, vol. 22 (JAI Press, Greenwich, CT), 123–167.Google Scholar
  • Amabile TM (1995) Discovering the unknowable, managing the unmanageable. Gioia DA, Ford CM, eds. Creative Action in Organizations: Ivory Tower Visions and Real World Voices (Sage, Thousand Oaks, CA), 77–82.CrossrefGoogle Scholar
  • Amabile TM (1996) Creativity in Context (Westview Press, Boulder, CO).Google Scholar
  • Amabile TM, Kramer S (2011) The Progress Principle (Harvard Business Review Press, Boston).Google Scholar
  • Anderson EG Jr, Lewis K (2014) A dynamic model of individual and collective learning amid disruption. Organ. Sci. 25(2):356–376.LinkGoogle Scholar
  • Argote L, Miron-Spektor E (2011) Organizational learning: From experience to knowledge. Organ. Sci. 22(5):1123–1137.LinkGoogle Scholar
  • Argyris C (1990) Overcoming Organizational Defenses (Allyn & Bacon, Boston).Google Scholar
  • Argyris C, Schön DA (1978) Organizational Learning (Addison-Wesley, Reading, MA).Google Scholar
  • Arthur JB, Aiman-Smith L (2001) Gainsharing and organizational learning: An analysis of employee suggestions over time. Acad. Management J. 44(4):737–754.CrossrefGoogle Scholar
  • Arthur JB, Huntley CL (2005) Ramping up the organizational learning curve: Assessing the impact of deliberate learning on organizational performance under gainsharing. Acad. Management J. 48(6):1159–1170.CrossrefGoogle Scholar
  • Bandura A (1977a) Self-efficacy: Toward a unifying theory of behavioral change. Psych. Rev. 84(2):191–215.CrossrefGoogle Scholar
  • Bandura A (1977b) Social Learning Theory (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Bandura A (1986) Social Foundations of Thought and Action: A Social Cognitive Theory (Prentice Hall, Englewood Cliffs, NJ).Google Scholar
  • Bandura A (2001) Social cognitive theory: An agentic perspective. Annual Rev. Psych. 52(1):1–26.CrossrefGoogle Scholar
  • Baumeister RF, Leary MR (1995) The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psych. Bull. 117(3):497–529.CrossrefGoogle Scholar
  • Bélanger JJ, Lafrenière M-AK, Vallerand RJ, Kruglanski AW (2013) Driven by fear: The effect of success and failure information on passionate individuals’ performance. J. Personality Soc. Psych. 104(1):180–195.CrossrefGoogle Scholar
  • Belsley DA, Kuh E, Welsch RE (2005) Regression Diagnostics (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Blau PM (1964) Exchange and Power in Social Life (John Wiley & Sons, New York).Google Scholar
  • Bledow R, Carette B, Kühnel J, Bister D (2017) Learning from others’ failures: The effectiveness of failure stories for managerial learning. Acad. Management Learn. Ed. 16(1):39–53.CrossrefGoogle Scholar
  • Bliese PD (2000) Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. Klein KJ, Kozlowski SWJ, eds. Multilevel Theory, Research, and Methods in Organizations (Jossey-Bass, San Francisco), 349–381.Google Scholar
  • Bolinger AR, Stanton JV (2014) The gap between perceived and actual learning from group reflection. Small Group Res. 45(5):539–567.CrossrefGoogle Scholar
  • Bresman H, Zellmer-Bruhn M (2013) The structural context of team learning: Effects of organizational and team structure on internal and external learning. Organ. Sci. 24(4):1120–1139.LinkGoogle Scholar
  • Breugst N, Patzelt H, Shepherd DA, Aguinis H (2012) Relationship conflict improves team performance assessment accuracy: Evidence from a multilevel study. Acad. Management Learn. Educ. 11(2):187–206.CrossrefGoogle Scholar
  • Brislin RW (1980) Translation and content analysis of oral and written material. Triandis HC, Berry JW, eds. Handbook of Cross-Cultural Psychology (Allyn & Bacon, Boston), 389–444.Google Scholar
  • Budde F, Felcht U-H, Frankemölle H (2005) Value Creation Strategies for the Chemical Industry (Wiley-VCH, Weinheim, Germany).CrossrefGoogle Scholar
  • Caldwell DF, O’Reilly CA III (1982) Responses to failure: The effects of choice and responsibility on impression management. Acad. Management J. 25(1):121–136.Google Scholar
  • Cannon MD, Edmondson AC (2001) Confronting failure: Antecedents and consequences of shared beliefs about failure in organizational work groups. J. Organ. Behav. 22(2):161–177.CrossrefGoogle Scholar
  • Chazan G (2012) Energy bills are biggest worry for chemicals sector. Financial Times. Accessed October 12, 2014, https://search.proquest.com/docview/1010415937.Google Scholar
  • Chen G, Kanfer R (2006) Toward a systems theory of motivated behavior in work teams. Res. in Organ. Behav. 27:223–267.Google Scholar
  • Cohen S, Wills TA (1985) Stress, social support, and the buffering hypothesis. Psych. Bull. 98(2):310–357.CrossrefGoogle Scholar
  • Cohen J, Cohen P, West SG, Aiken LS (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (Lawrence Erlbaum Associates, Mahwah, NJ).Google Scholar
  • Coleman JS (1988) Social capital in the creation of human capital. Amer. J. Sociol. 94(Supplement):S95–S120.CrossrefGoogle Scholar
  • Coleman JS (1990) Foundations of Social Theory (Harvard University Press, Cambridge, MA).Google Scholar
  • Currall SC, Hammer TH, Baggett LS, Doniger GM (1999) Combining qualitative and quantitative methodologies to study group processes: An illustrative study of a corporate board of directors. Organ. Res. Methods 2(1):5–36.CrossrefGoogle Scholar
  • Dawson JF (2003) Do we have enough? The accuracy of incomplete data from small groups. Acad. Management Best Paper Proc. 2003(1):A1–A6.CrossrefGoogle Scholar
  • Deichmann D, van den Ende J (2014) Rising from failure and learning from success: The role of past experience in radical initiative taking. Organ. Sci. 25(3):670–690.LinkGoogle Scholar
  • De Jonge J, Reuvers MMEN, Houtman ILD, Bongers PM, Kompier MAJ (2000) Linear and nonlinear relations between psychosocial job characteristics, subjective outcomes, and sickness absence: Baseline results from SMASH. J. Occupational Health Psych. 5(2):256–268.CrossrefGoogle Scholar
  • Desai V (2015) Learning through the distribution of failures within an organization: Evidence from heart bypass surgery performance. Acad. Management J. 58(4):1032–1050.CrossrefGoogle Scholar
  • Destatis (2014) Arbeitssicherheit und Gleichstellung. Accessed August 11, 2014, http://www.destatis.de/DE/ZahlenFakten/Indikatoren/QualitaetArbeit/QualitaetDerArbeit.html.Google Scholar
  • Detert JR, Burris ER (2007) Leadership behavior and employee voice: Is the door really open? Acad. Management J. 50(4):869–884.CrossrefGoogle Scholar
  • Dweck CS (1986) Motivational processes affecting learning. Amer. Psychologist 41(10):1040–1048.CrossrefGoogle Scholar
  • Dyer NG, Hanges PJ, Hall RJ (2005) Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quart. 16(1):149–167.CrossrefGoogle Scholar
  • Edmondson AC (1996) Learning from mistakes is easier said than done: Group and organizational influences on the detection and correction of human error. J. Appl. Behav. Sci. 32(1):5–28.CrossrefGoogle Scholar
  • Edmondson AC (1999) Psychological safety and learning behavior in work teams. Admin. Sci. Quart. 44(2):350–383.CrossrefGoogle Scholar
  • Edmondson AC (2012) Teaming: How Organizations Learn, Innovate, and Compete in the Knowledge Economy (Jossey-Bass, San Francisco).Google Scholar
  • Edmondson AC, Lei Z (2014) Psychological safety: The history, renaissance, and future of an interpersonal construct. Annual Rev. Organ. Psych. Organ. Behav. 1(1):23–43.CrossrefGoogle Scholar
  • Edmondson AC, Bohmer RM, Pisano GP (2001) Disrupted routines: Team learning and new technology implementation in hospitals. Admin. Sci. Quart. 46(4):685–716.CrossrefGoogle Scholar
  • Edmondson AC, Dillon JR, Roloff KS (2007) Three perspectives on team learning. Acad. Management Ann. 1(1):269–314.CrossrefGoogle Scholar
  • Ekvall G (1971) Creativity at the Place of Work: A Study of Suggestors and Suggestion Systems in the Swedish Mechanical Industry (Swedish Council for Personnel Administration, Stockholm).Google Scholar
  • Ellis S, Davidi I (2005) After-event reviews: Drawing lessons from successful and failed experience. J. Appl. Psych. 90(5):857–871.CrossrefGoogle Scholar
  • Ellis S, Mendel R, Nir M (2006) Learning from successful and failed experience: The moderating role of kind of after-event review. J. Appl. Psych. 91(3):669–680.CrossrefGoogle Scholar
  • Ellis S, Carette B, Anseel F, Lievens F (2014) Systematic reflection. Current Directions Psych. Sci. 23(1):67–72.CrossrefGoogle Scholar
  • Enders CK, Tofighi D (2007) Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psych. Methods 12(2):121–138.CrossrefGoogle Scholar
  • Ford CM (1996) A theory of individual creative action in multiple social domains. Acad. Management Rev. 21(4):1112–1142.CrossrefGoogle Scholar
  • Frese M, Teng E, Wijnen CJD (1999) Helping to improve suggestion systems: Predictors of making suggestions in companies. J. Organ. Behav. 20(7):1139–1155.CrossrefGoogle Scholar
  • Gardner HK, Gino F, Staats BR (2012) Dynamically integrating knowledge in teams: Transforming resources into performance. Acad. Management J. 55(4):998–1022.CrossrefGoogle Scholar
  • Gardner W, Mulvey EP, Shaw EC (1995) Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psych. Bull. 118(3):392–404.CrossrefGoogle Scholar
  • Gibson CB, Gibbs JL (2006) Unpacking the concept of virtuality: The effects of geographic dispersion, electronic dependence, dynamic structure, and national diversity on team innovation. Admin. Sci. Quart. 51(3):451–495.CrossrefGoogle Scholar
  • Greene WH (2003) Econometric Analysis (Prentice-Hall, Upper Saddle River, NJ).Google Scholar
  • Hajcak G, Foti D (2008) Errors are aversive: Defensive motivation and the error-related negativity. Psych. Sci. 19(2):103–108.CrossrefGoogle Scholar
  • Hastie R (1984) Causes and effects of causal attribution. J. Personality Soc. Psych. 46(1):44–56.CrossrefGoogle Scholar
  • Hennessey BA, Amabile TM, Mueller JS (2011) Consensual assessment. Runco MA, Pritzker S, eds. Encyclopedia of Creativity, 2nd ed. (Academic Press, San Diego), 253–260.CrossrefGoogle Scholar
  • Hirst G, Van Knippenberg D, Chen C-H, Sacramento CA (2011) How does bureaucracy impact individual creativity? A cross-level investigation of team contextual influences on goal orientation–creativity relationships. Acad. Management J. 54(3):624–641.CrossrefGoogle Scholar
  • Hirst G, Van Knippenberg D, Zhou J (2009) A cross-level perspective on employee creativity: Goal orientation, team learning behavior, and individual creativity. Acad. Management J. 52(2):280–293.CrossrefGoogle Scholar
  • Hitt MA, Beamish PW, Jackson SE, Mathieu JE (2007) Building theoretical and empirical bridges across levels: Multilevel research in management. Acad. Management J. 50(6):1385–1399.CrossrefGoogle Scholar
  • Hmelo-Silver CE, Chinn CA, Chan CKK, O’Donnell AM (2013) The International Handbook of Collaborative Learning (Routledge, New York).CrossrefGoogle Scholar
  • Hofmann DA (1997) An overview of the logic and rationale of hierarchical linear models. J. Management 23(6):723–744.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
  • Hollingshead AB (2001) Cognitive interdependence and convergent expectations in transactive memory. J. Personality Soc. Psych. 81(6):1080–1089.CrossrefGoogle Scholar
  • Holman D, Pavlica K, Thorpe R (1997) Rethinking Kolb’s theory of experiential learning in management education. Management Learn. 28(2):135–148.CrossrefGoogle Scholar
  • Homans GC (1958) Social behavior as exchange. Amer. J. Sociol. 63(6):597–606.CrossrefGoogle Scholar
  • International Labour Organization (2015) Employment distribution by economic activity and occupation. Accessed January 5, 2015, http://www.ilo.org.Google Scholar
  • Isen AM (1984) Toward understanding the role of affect in cognition. Wyer RS, Srull TK, eds. Handbook of Social Cognition (Lawrence Erlbaum Associates, Hillsdale, NJ), 179–236.Google Scholar
  • Jaccard J, Turrisi R (2003) Interaction Effects in Multiple Regression (Sage, Thousand Oaks, CA).CrossrefGoogle Scholar
  • James LR, Demaree RG, Wolf G (1984) Estimating within-group inter-rater reliability with and without response bias. J. Appl. Psych. 69(1):85–98.CrossrefGoogle Scholar
  • Johns G (2001) In praise of context. J. Organ. Behav. 22(1):31–42.CrossrefGoogle Scholar
  • Johns G (2006) The essential impact of context on organizational behavior. Acad. Management Rev. 31(2):386–408.CrossrefGoogle Scholar
  • Johns G (2017) Reflections on the 2016 Decade Award: Incorporating context in organizational research. Acad. Management Rev. 42(4):577–595.CrossrefGoogle Scholar
  • Kanter RM (1988) When a thousand flowers bloom: Structural, collective, and social conditions for innovation in organizations. Staw BM, Cummings LL, eds. Research in Organizational Behavior, vol. 10 (JAI Press, Greenwich, CT), 169–211.Google Scholar
  • Katila R, Ahuja G (2002) Something old, something new: A longitudinal study of search behavior and new product introduction. Acad. Management J. 45(6):1183–1194.CrossrefGoogle Scholar
  • KC D, Staats BR, Gino F (2013) Learning from my success and from others’ failure: Evidence from minimally invasive cardiac surgery. Management Sci. 59(11):2435–2449.LinkGoogle Scholar
  • Kim J-Y, Miner AS (2007) Vicarious learning from the failures and near-failures of others: Evidence from the U.S. commercial banking industry. Acad. Management J. 50(3):687–714.CrossrefGoogle Scholar
  • Kolb DA (1984) Experiential Learning (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Kolb DA (2015) Experiential Learning: Experience as the Source of Learning and Development, 2nd ed. (Pearson Education, Upper Saddle River, NJ).Google Scholar
  • Kozlowski SWJ, Bell BS (2013) Work groups and teams in organizations: Review update. Schmitt N, Highhouse S, eds. Handbook of Psychology: Industrial and Organizational Psychology, 2nd ed. (John Wiley & Sons, Hoboken, NJ), 412–469.Google Scholar
  • Kozlowski SWJ, Ilgen DR (2006) Enhancing the effectiveness of work groups and teams. Psychological Science in the Public Interest. 7(3):77–124.CrossrefGoogle Scholar
  • Lant TK, Milliken FJ, Batra B (1992) The role of managerial learning and interpretation in strategic persistence and reorientation: An empirical exploration. Strategic Management J. 13(8):585–608.CrossrefGoogle Scholar
  • Laughlin PR, Carey HR, Kerr NL (2008) Group-to-individual problem-solving transfer. Group Processes Intergroup Relations 11(3):319–330.CrossrefGoogle Scholar
  • LeBreton JM, Senter JL (2008) Answers to 20 questions about interrater reliability and interrater agreement. Organ. Res. Methods 11(4):815–852.CrossrefGoogle Scholar
  • Lee F (2002) The social costs of seeking help. J. Appl. Behav. Sci. 38(1):17–35.CrossrefGoogle Scholar
  • Lee JJ (2009) Heterogeneity, brokerage, and innovative performance: Endogenous formation of collaborative inventor networks. Organ. Sci. 21(4):804–822.LinkGoogle Scholar
  • Levitt B, March JG (1988) Organizational learning. Annual Rev. Sociol. 14(1):319–338.CrossrefGoogle Scholar
  • Lewis K (2003) Measuring transactive memory systems in the field: Scale development and validation. J. Appl. Psych. 88(4):587–604.CrossrefGoogle Scholar
  • Lewis K (2004) Knowledge and performance in knowledge-worker teams: A longitudinal study of transactive memory systems. Management Sci. 50(11):1519–1533.LinkGoogle Scholar
  • Lewis K, Lange D, Gillis L (2005) Transactive memory systems, learning, and learning transfer. Organ. Sci. 16(6):581–598.LinkGoogle Scholar
  • Liang DW, Moreland R, Argote L (1995) Group vs. individual training and group performance: The mediating role of transactive memory. Personality Soc. Psych. Bull. 21(4):384–393.CrossrefGoogle Scholar
  • Liao HUI, Liu D, Loi R (2010) Looking at both sides of the social exchange coin: A social cognitive perspective on the joint effects of relationship quality and differentiation on creativity. Acad. Management J. 53(5):1090–1109.CrossrefGoogle Scholar
  • Louis MR, Sutton RI (1991) Switching cognitive gears: From habits of mind to active thinking. Human Relations 44(1):55–76.CrossrefGoogle Scholar
  • Luo X, Chung C-N (2005) Keeping it all in the family: The role of particularistic relationships in business group performance during institutional transition. Admin. Sci. Quart. 50(3):404–439.CrossrefGoogle Scholar
  • MacKinnon DP, Lockwood CM, Williams J (2004) Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behav. Res. 39(1):99–128.CrossrefGoogle Scholar
  • Madjar N, Greenberg E, Chen Z (2011) Factors for radical creativity, incremental creativity, and routine, noncreative performance. J. Appl. Psych. 96(4):730–743.CrossrefGoogle Scholar
  • Maheswaran D, Chaiken S (1991) Promoting systematic processing in low-motivation settings: Effect of incongruent information on processing and judgment. J. Personality Soc. Psych. 61(1):13–25.CrossrefGoogle Scholar
  • Mainemelis C, Boyatzis RE, Kolb DA (2002) Learning styles and adaptive flexibility. Management Learn. 33(1):5–33.CrossrefGoogle Scholar
  • Mallinckrodt B, Armer JM, Heppner PP (2012) A threshold model of social support, adjustment, and distress after breast cancer treatment. J. Counseling Psych. 59(1):150–160.CrossrefGoogle Scholar
  • Maloney MM, Bresman H, Zellmer-Bruhn ME, Beaver GR (2016) Contextualization and context theorizing in teams research: A look back and a path forward. Acad. Management Ann. 10(1):891–942.CrossrefGoogle Scholar
  • Manz CC, Sims HP (1981) Vicarious learning: The influence of modeling on organizational behavior. Acad. Management Rev. 6(1):105–113.CrossrefGoogle Scholar
  • McGrath RG (1999) Falling forward: Real options reasoning and entrepreneurial failure. Acad. Management Rev. 24(1):13–30.CrossrefGoogle Scholar
  • Montag T, Maertz CP, Baer M (2012) A critical analysis of the workplace creativity criterion space. J. Management 38(4):1362–1386.CrossrefGoogle Scholar
  • Moreland RL, Myaskovsky L (2000) Exploring the performance benefits of group training: Transactive memory or improved communication? Organ. Behav. Human Decision Processes 82(1):117–133.CrossrefGoogle Scholar
  • Moreland RL, Argote L, Krishnan R (1996) Socially shared cognition at work: Transactive memory and group performance. Nye JL, Brower AM, eds. What’s Social About Social Cognition? Research on Socially Shared Cognition in Small Groups (Sage, Thousand Oaks, CA), 57–84.CrossrefGoogle Scholar
  • Myers C (2018) Coactive vicarious learning: Towards a relational theory of vicarious learning in organizations. Acad. Management Rev. 43(4):610–634.CrossrefGoogle Scholar
  • Myers CG, Staats BR, Gino F (2014) “My bad!” How internal attribution and ambiguity of responsibility affect learning from failure. Harvard Business School NOM Unit Working Paper 14-104, Harvard Business School, Boston.Google Scholar
  • Nembhard IM, Edmondson AC (2006) Making it safe: The effects of leader inclusiveness and professional status on psychological safety and improvement efforts in healthcare teams. J. Organ. Behav. 27(7):941–966.CrossrefGoogle Scholar
  • O’Brien JP (2003) The capital structure implications of pursuing a strategy of innovation. Strategic Management J. 24(5):415–431.CrossrefGoogle Scholar
  • Ohly S, Sonnentag S, Pluntke F (2006) Routinization, work characteristics and their relationships with creative and proactive behaviors. J. Organ. Behav. 27(3):257–279.CrossrefGoogle Scholar
  • Oldham GR, Cummings A (1996) Employee creativity: Personal and contextual factors at work. Acad. Management J. 39(3):607–634.CrossrefGoogle Scholar
  • Olivera F, Straus SG (2004) Group-to-individual transfer of learning. Small Group Res. 35(4):440–465.CrossrefGoogle Scholar
  • Perrewé PL, Zellars KL (1999) An examination of attributions and emotions in the transactional approach to the organizational stress process. J. Organ. Behav. 20(5):739–752.CrossrefGoogle Scholar
  • Podsakoff PM, MacKenzie SB, Lee J-Y, 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
  • Pornprasertmanit S, Lee J, Preacher KJ (2014) Ignoring clustering in confirmatory factor analysis: Some consequences for model fit and standardized parameter estimates. Multivariate Behav. Res. 49(6):518–543.CrossrefGoogle Scholar
  • Preacher KJ, Selig JP (2012) Advantages of Monte Carlo confidence intervals for indirect effects. Comm Methods Measures 6(2):77–98.CrossrefGoogle Scholar
  • Preacher KJ, Curran PJ, Bauer DJ (2006) Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. J. Ed. Behav. Statist. 31(4):437–448.CrossrefGoogle Scholar
  • Raghavan JI, Ernest MZ (2009) Self-selection, endogeneity, and the relationship between CEO duality and firm performance. Strategic Management J. 30(10):1092–1112.CrossrefGoogle Scholar
  • Raudenbush SW, Bryk AS (2001) Hierarchical Linear Models (Sage, Thousand Oaks, CA).Google Scholar
  • Ren Y, Argote L (2011) Transactive memory systems 1985–2010: An integrative framework of key dimensions, antecedents, and consequences. Acad. Management Ann. 5(1):189–229.CrossrefGoogle Scholar
  • Reynolds M, Vince R (2004) Critical management education and action-based learning: Synergies and contradictions. Acad. Management Learn. Ed. 3(4):442–456.CrossrefGoogle Scholar
  • Richter AW, Hirst G, van Knippenberg D, Baer M (2012) Creative self-efficacy and individual creativity in team contexts: Cross-level interactions with team informational resources. J. Appl. Psych. 97(6):1282–1290.CrossrefGoogle Scholar
  • Richter AW, West MA, Dick RV, Dawson JF (2006) Boundary spanners’ identification, intergroup contact, and effective intergroup relations. Acad. Management J. 49(6):1252–1269.CrossrefGoogle Scholar
  • Riggs ML, Knight PA (1994) The impact of perceived group success-failure on motivational beliefs and attitudes: A causal model. J. Appl. Psych. 79(5):755–766.CrossrefGoogle Scholar
  • Saldaña J (2013) The Coding Manual of Qualitative Researchers, 2nd ed. (Sage, London).Google Scholar
  • Salomon G, Perkins DN (1998) Individual and social aspects of learning. Rev. Res. Ed. 23(1):1–24.CrossrefGoogle Scholar
  • Schein EH (1993) How can organizations learn faster? The challenge of entering the green room. Sloan Management Rev. 34(Winter):85–92.Google Scholar
  • Selig JP, Preacher KJ (2008) Monte Carlo method for assessing mediation: An interactive tool for creating confidence intervals for indirect effects. (Computer software.) Accessed August 6, 2015, http://quantpsy.org/medmc/medmc.htm.Google Scholar
  • Silverman D (2006) Interpreting Qualitative Data, 3rd ed. (Sage, London).Google Scholar
  • Simon HA (1991) Bounded rationality and organizational learning. Organ. Sci. 2(1):125–134.LinkGoogle Scholar
  • Sitkin SB (1992) Learning through failure: The strategy of small losses. Staw BM, Cummings LL, eds. Research in Organizational Behavior, Vol. 14 (JAI Press, Greenwich, CT), 231–266.Google Scholar
  • Staw BM, McKechnie PI, Puffer SM (1983) The justification of organizational performance. Admin. Sci. Quart. 28(4):582–600.CrossrefGoogle Scholar
  • Staw BM, Sandelands LE, Dutton JE (1981) Threat rigidity effects in organizational behavior: A multilevel analysis. Admin. Sci. Quart. 26(4):501–524.CrossrefGoogle Scholar
  • Sudman S, Bradburn NM, Schwarz N (2010) Thinking About Answers: The Application of Cognitive Processes to Survey Methodology (Jossey-Bass, San Francisco).Google Scholar
  • Taylor SE (1991) Asymmetrical effects of positive and negative events: The mobilization-minimization hypothesis. Psych. Bull. 110(1):67–85.CrossrefGoogle Scholar
  • Taylor SE, Brown JD (1988) Illusion and well-being: A social psychological perspective on mental health. Psych. Bull. 103(2):193–210.CrossrefGoogle Scholar
  • Tucker AL, Nembhard IM, Edmondson AC (2007) Implementing new practices: An empirical study of organizational learning in hospital intensive care units. Management Sci. 53(6):894–907.LinkGoogle Scholar
  • Uhlig PN, Berry WR, Raboin E, Brown J, Erskin JT, Hendrich A, Raemer D (2010) Preventing complications: New frontiers of safety science in cardiothoracic surgery. Little AG, Merrill WH, eds. Complications in Cardiothoracic Surgery, 2nd ed. (Wiley-Blackwell, Chichester, UK), 1–21.Google Scholar
  • U.S. Department of Labor (2014) Labor force statistics from the current population survey. Accessed December 29, 2014, http://www.bls.gov/cps/cpsaat18.htm.Google Scholar
  • Van der Doef M, Maes S, Diekstra R (2000) An examination of the job demand-control-support model with various occupational strain indicators. Anxiety, StressCoping 13(2):165–185.Google Scholar
  • Van Knippenberg D, Hirst G (2015) A cross-level perspective on creativity at work: Person-in-situation interactions. Shalley CE, Hitt MA, Zhou J, eds. The Oxford Handbook of Creativity, Innovation, and Entrepreneurship (Oxford University Press, Oxford, UK), 225–244.Google Scholar
  • Van Knippenberg D, De Dreu CK, Homan AC (2004) Work group diversity and group performance: An integrative model and research agenda. J. Appl. Psych. 89(6):1008–1022.CrossrefGoogle Scholar
  • Varvel SJ, He Y, Shannon JK, Tager D, Bledman RA, Chaichanasakul A, Mendoza MM, Mallinckrodt B (2007) Multidimensional, threshold effects of social support in firefighters: Is more support invariably better? J. Counseling Psych. 54(4):458–465.CrossrefGoogle Scholar
  • Vashdi DR, Bamberger PA, Erez M (2013) Can surgical teams ever learn? The role of coordination, complexity, and transitivity in action team learning. Acad. Management J. 56(4):945–971.CrossrefGoogle Scholar
  • Venkataramani V, Richter AW, Clarke R (2014) Creative benefits from well-connected leaders: Leader social network ties as facilitators of employee radical creativity. J. Appl. Psych. 99(5):966–975.CrossrefGoogle Scholar
  • Vroom, VH (1964) Work and Motivation (John Wiley & Sons, Oxford, UK).Google Scholar
  • Warr PB (1987) Work, Unemployment, and Mental Health (Oxford University Press, Oxford, UK).Google Scholar
  • Wegner DM (1986) Transactive memory: A contemporary analysis of the group mind. Mullen B, Goethals GR, eds. Theories of Group Behavior (Springer, New York), 185–208.Google Scholar
  • Wegner DM, Giuliano T, Hertel PT (1985) Cognitive interdependence in close relationships. Ickes W, ed. Compatible and Incompatible Relationships (Springer, New York), 253–276.CrossrefGoogle Scholar
  • Weiner B (1974) Achievement Motivation and Attribution Theory (General Learning Press, Morristown, NJ).Google Scholar
  • Woehr DJ, Loignon AC, Schmidt PB, Loughry ML, Ohland MW (2015) Justifying aggregation with consensus-based constructs: A review and examination of cutoff values for common aggregation indices. Organ. Res. Methods 18(4):704–737.CrossrefGoogle Scholar
  • Woodman RW, Sawyer JE, Griffin RW (1993) Toward a theory of organizational creativity. Acad. Management Rev. 18(2):293–321.CrossrefGoogle Scholar
  • Yoon J, Kayes DC (2016) Employees’ self-efficacy and perception of individual learning in teams: The cross-level moderating role of team-learning behavior. J. Organ. Behav. 37(7):1044–1060.CrossrefGoogle Scholar
  • Yu H, Jiang S, Land KC (2015) Multicollinearity in hierarchical linear models. Soc. Sci. Res. 53:118–136.CrossrefGoogle Scholar
  • Zhang Y, LePine JA, Buckman BR, Wei F (2014) It’s not fair … or is it? The role of justice and leadership in explaining work stressor–job performance relationships. Acad. Management J. 57(3):675–697.CrossrefGoogle Scholar
  • Zhou J (2003) When the presence of creative coworkers is related to creativity: Role of supervisor close monitoring, developmental feedback, and creative personality. J. Appl. Psych. 88(3):413–422.CrossrefGoogle Scholar
  • Zhou J, Oldham GR (2001) Enhancing creative performance: Effects of expected developmental assessment strategies and creative personality. J. Creative Behav. 35(3):151–167.CrossrefGoogle Scholar
  • Zhou J, Shalley CE (2008) Handbook of Organizational Creativity (Lawrence Erlbaum Associates, New York).Google Scholar
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