Familiarity, Complexity, and Team Performance in Geographically Distributed Software Development

References

• Aiken L., West S.Multiple Regression: Testing and Interpreting Interactions (1991) (Sage, Newbury Park, CA) Google Scholar
• Alavi M., Leidner D. E. Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quart. (2001) 25(1):107–136Crossref, Google Scholar
• Alker H., Russet M. On measuring inequality. Behavioral Sci. (1964) 9(3):207–218Crossref, Google Scholar
• Allen T.Managing the Flow of Technology (1977) (MIT Press, Cambridge, MA) Google Scholar
• Argote L., Insko C. A., Yovetich N., Romero A. A. Group learning curves: The effects of turnover and task complexity on group performance. J. Appl. Soc. Psych. (1995) 25(6):512–529Crossref, Google Scholar
• Armstrong D. J., Cole P., Hinds P., Kiesler S. Managing distances and differences in geographically distributed work groups. Distributed Work (2002) (MIT Press, Cambridge, MA) 187–215Google Scholar
• Banker R. D., Slaughter S. A. The moderating effects of structure on volatility and complexity in software enhancement. Inform. Systems Res. (2000) 11(3):219–240Link, Google Scholar
• Banker R., Dattar S., Kemerer C. Software complexity and software maintenance costs. Comm. ACM (1993) 36(11):81–94Crossref, Google Scholar
• Banker R., Davis G., Slaughter S. A. Software development practices, software complexity, and software maintenance performance: A field study. Management Sci. (1998) 44(4):433–450Link, Google Scholar
• Belsley D., Kuh E., Welsch R.Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (1980) (John Wiley & Sons, New York) Crossref, Google Scholar
• Boehm B. R.Software Engineering Economics (1981) (Prentice-Hall, Englewood Cliffs, NJ) Google Scholar
• Brandon D. P., Hollingshead A. Transactive memory systems in organizations: Matching tasks, expertise, and people. Organ. Sci. (2004) 15(6):633–644Link, Google Scholar
• Brooks F.The Mythical Man-Month: Essays on Software Engineering (1995) anniversary ed.(Addison-Wesley, Reading, MA) Google Scholar
• Campbell D. J. Task complexity: A review and analysis. Acad. Management Rev. (1988) 13(1):40–52Crossref, Google Scholar
• Cannon-Bowers J. A., Salas E., Converse S., Castellan J. Shared mental models in expert team decision-making. Individual and Group Decision-Making: Current Issues (1993) (Lawrence Erlbaum Associates, Inc., Hillsdale, NJ) 221–246Google Scholar
• Carmel E.Global Software Teams (1999) (Prentice-Hall, Upper Saddle River, NJ) Google Scholar
• Cohen J., Cohen P.Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (1983) (Lawrence Erlbaum Associates, Inc., Hillsdale, NJ) Google Scholar
• Cohen S. G., Bailey D. E. What makes teams work: Group effectiveness research from the shop floor to the executive suite. J. Management (1997) 23:239–290Crossref, Google Scholar
• Cohen S. G., Gibson C. B., Cohen S. G., Gibson C. B. In the beginning: Introduction and framework. Virtual Teams that Work: Creating Conditions for Virtual Team Effectiveness (2003) (Jossey-Bass, San Francisco, CA) 1–13Google Scholar
• Cramton C. D. The mutual knowledge problem and its consequences for dispersed collaboration. Organ. Sci. (2001) 12(3):346–371Link, Google Scholar
• Crowston K., Kammerer E. E. Coordination and collective mind in software requirements development. IBM Systems J. (1998) 37(2):227–245Crossref, Google Scholar
• Curtis B., Krasner H., Iscoe N. A field study of the software design process for large systems. Comm. ACM (1988) 31(11):1268–1286Crossref, Google Scholar
• Curtis B., Sheppard S. B., Milliman P., Borst M. A., Love T. Measuring the psychological complexity of software maintenance tasks with the Halstead and Mccabe metrics. IEEE Trans. Software Engrg. (1979) 5(2):96–104Crossref, Google Scholar
• Darcy D. P., Kemerer C. F., Slaughter S. A., Tomayko J. E. The structural complexity of software: An experimental test. IEEE Trans. Software Engrg. (2005) 31(11Crossref, Google Scholar
• Dorfman R. A formula for the Gini coefficient. Rev. Econom. Statist. (1979) 61:146–156Crossref, Google Scholar
• Espinosa J. A., Cummings J. N., Wilson J. M., Pearce B. M. Team boundary issues across multiple global firms. J. Management Inform. Systems (2003) 19(4):157–190Crossref, Google Scholar
• Faraj S., Sproull L. Coordinating expertise in software development teams. Management Sci. (2000) 46(12):1554–1568Link, Google Scholar
• Gittell J. H. Supervisory span, relational coordination, and flight departure performance: A reassessment of post-bureaucracy theory. Acad. Management J. (2001) 12(4):468–483Google Scholar
• Goodman P. S., Garber S. Absenteeism and accidents in a dangerous environment: Empirical analysis of underground coal mines. J. Appl. Psych. (1988) 73(1):81–86Crossref, Google Scholar
• Goodman P. S., Leyden D. P. Familiarity and group productivity. J. Appl. Psych. (1991) 76(4):578–586Crossref, Google Scholar
• Goodman P. S., Shah S., Worchel S., Wood W., Simpson J. A. Familiarity and work group outcomes. Group Processes and Productivity (1992) (Sage Publications, Newbury Park, CA) 578–586Google Scholar
• Greene W.Econometric Analysis (1997) (Prentice-Hall, Upper Saddle River, NJ) Google Scholar
• Griffith T. L., Sawyer J. E., Neale M. A. Virtualness and knowledge in teams: Managing the love triangle of organizations, individuals, and information technology. MIS Quart. (2003) 27(2):265–287Crossref, Google Scholar
• Grinter R. E. Workflow systems: Occasions for success and failure. Comput. Supported Cooperative Work (2000) 9:189–214Crossref, Google Scholar
• Gruenfeld D. H., Mannix E. A., Williams K. Y., Neale M. A. Group composition and decision making: How member familiarity and information distribution affect process and performance. Organ. Behav. Human Decision Processes (1996) 67(1):1–15Crossref, Google Scholar
• Hackman R., Lorsch J. The design of work teams. Handbook of Organizational Behavior (1987) (Prentice-Hall, Englewood Cliffs, NJ) Google Scholar
• Harrison D. A., Mohammed S., McGrath J. E., Florey A. T., Vanderstoep S. W. Time matters in team performance: Effects of member familiarity, entrainment, and task discontinuity on speed and quality. Personnel Psych. (2003) 56(3):633–669Crossref, Google Scholar
• Herbsleb J. D., Grinter R. E. Architectures, coordination, and distance: Conway’s law and beyond. IEEE Software (1999) 16(5):63–70Crossref, Google Scholar
• Herbsleb J. D., Mockus A. An empirical study of speed and communication in globally distributed software development. IEEE Trans. Software Engrg. (2003) 29(6):481–494Crossref, Google Scholar
• Hinds P., Mortensen M. Understanding conflict in geographically distributed teams: The moderating effects of shared identity, shared context, and spontaneous communication. Organ. Sci. (2005) 16(3):290–307Link, Google Scholar
• Hinds P., Weisband S., Cohen S. G., Gibson C. B. Knowledge sharing and shared understanding in virtual teams. Virtual Teams that Work: Creating Conditions for Virtual Team Effectiveness (2003) (Jossey-Bass, San Francisco, CA) 21–36Google Scholar
• Hinds P. J., Bailey D. E. Out of sight, out of synch: Understanding conflict in distributed teams. Organ. Sci. (2003) 14(6):615–632Link, Google Scholar
• Hinds P. J., Carley K. M., Krackhardt D., Wholey D. Choosing work group members: Balancing similarity, competence, and familiarity. Organ. Behav. Human Decision Processes (2000) 81(2):226–251Crossref, Google Scholar
• Jackard J., Turrisi R.Interaction Effects in Multiple Regression (2003) (Sage Publications, London, UK) Google Scholar
• Kanki B. G., Foushee H. C. Communication as group process mediator of aircrew performance. Aviation, Space, Environ. Medicine (1989) 60(5):402–410Google Scholar
• Katz R. The effects of group longevity on project communication and performance. Admin. Sci. Quart. (1982) 27:81–104Crossref, Google Scholar
• Kemerer C. Software complexity and software maintenance: A survey of empirical research. Ann. Software Engrg. (1995) 1):1–22Crossref, Google Scholar
• Kemerer C., Slaughter S. A. An empirical approach to studying software evolution. IEEE Trans. Software Engrg. (1999) 25(4):1–17Crossref, Google Scholar
• Kennedy P.A Guide to Econometrics (1992) (MIT Press, Cambridge, MA) Google Scholar
• Kenny D. A., LaVoie L. Interpersonal relations and group processes. J. Personality Soc. Psych. (1985) 48(2):339–348Crossref, Google Scholar
• Kiesler S., Cummings J. N., Hinds P., Kiesler S. What do we know about proximity in work groups? A legacy of research on physical distance. Distributed Work (2002) (MIT Press, Cambridge, MA) 57–80Google Scholar
• Kirkman B. L., Mathieu J. The dimensions and antecedents of team virtuality. J. Management (2005) 31(5):1–19Crossref, Google Scholar
• Klimoski R. J., Mohammed S. Team mental model: Construct or metaphor. J. Management (1994) 20(2):403–437Google Scholar
• Kraut R. E., Streeter L. A. Coordination in software development. Comm. ACM (1995) 38(3):69–81Crossref, Google Scholar
• Lewis K. Measuring transactive memory systems in the field: Scale development and validation. J. Appl. Psych. (2003) 88(4):587–604Crossref, Google Scholar
• Lewis K., Lange D., Gillis L. Transactive memory systems, learning and learning transfer. Organ. Sci. (2005) 16(6):581–598Link, Google Scholar
• Liang D., Moreland R., Argote L. Group versus individual training and group performance: The mediating role of transactive memory. Personality Soc. Psych. Bull. (1995) 21:384–393Crossref, Google Scholar
• Littlepage G., Robison W., Reddington K. Effects of task experience and group experience on group performance, member ability, and recognition of expertise. Organ. Behav. Human Decision Processes (1997) 69(2):133–147Crossref, Google Scholar
• Malone T., Crowston K. The interdisciplinary study of coordination. ACM Comput. Surveys (1994) 26(1):87–119Crossref, Google Scholar
• Mann C. C. Why software is so bad. Tech. Rev. (2002) 105(5):33–38Google Scholar
• Marquardt D. W. Generalized inverses, ridge regression, biased linear estimation, and non-linear estimation. Technometrics (1970) 12:591–612Crossref, Google Scholar
• McGrath J. Time, interaction and performance (tip). Small Group Res. (1991) 22(2):147–174Crossref, Google Scholar
• Mockus A., Herbsleb J. D. Expertise browser: A quantitative approach to identifying expertise. 24th Internat. Conf. Software Engrg. (2002) Orlando, FLGoogle Scholar
• O’Leary M. B., Cummings J. N. The spatial, temporal, and configurational characteristics of geographic dispersion in teams. MIS Quart. (2007) . ForthcomingGoogle Scholar
• Olson G. M., Olson J. S. Distance matters. Human-Comput. Interaction (2000) 15(1):139–179Crossref, Google Scholar
• Perry D. E., Staudenmayer N. A., Votta L. G. People, organizations, and process improvement. IEEE Software (1994) 11(4):36–45Crossref, Google Scholar
• Powell A., Piccoli G., Ives B. Virtual teams: A review of current literature and directions for future research. Data Base Adv. Inform. Systems (2004) 35(1):6–36Crossref, Google Scholar
• Reagans R., Argote L., Brooks D. Individual experience and experience working together: Predicting learning rates from knowing who knows what and knowing how to work together. Management Sci. (2005) 51(6):869–881Link, Google Scholar
• Simon H. A. A behavioral model of rational choice. Quart. J. Econom. (1955) 69(1):99–118Crossref, Google Scholar
• Simon H. A.The Sciences of the Artificial (1996) (MIT Press, Cambridge, MA) Google Scholar
• Sproull L., Kiesler S.Connections: New Ways of Working in the Networked Organization (1991) (MIT Press, Cambridge, MA) Google Scholar
• Stasser G., Stewart D. D., Wittenbaum G. W. Expert roles and information exchange during discussion: The importance of knowing who knows what. J. Experiment. Soc. Psych. (1995) 31:244–265Crossref, Google Scholar
• Steiner I.Group Process and Productivity (1972) (Academic Press, New York) Google Scholar
• Teasley S. D., Covi L. A., Krishnan M. S., Olson J. S. Rapid software development through team collocation. IEEE Trans. Software Engrg. (2002) 28(7):671–683Crossref, Google Scholar
• Thompson J.Organizations in Action (1967) (McGraw-Hill, New York) Google Scholar
• Van de Ven A. H., Delbecq L. A., Koenig R. J. Determinants of coordination modes within organizations. Amer. Sociol. Rev. (1976) 41(April):322–338Google Scholar
• Waller M. J. The timing of adaptive group responses to non-routine events. Acad. Management J. (1999) 42(2):127–137Crossref, Google Scholar
• Walz D. B., Elam J. J., Curtis B. Inside a software design team: Knowledge acquisition, sharing, and integration. Comm. ACM (1993) 36(10):63–77Crossref, Google Scholar
• Watson D., Finholt T. Measurement of group participation patterns. (1986) . Working paper, Carnegie Mellon University, Pittsburgh, PAGoogle Scholar
• Wegner D. A computer network model of human transactive memory. Soc. Cognition (1995) 13(3):319–339Crossref, Google Scholar
• Weick K., Roberts K. Collective mind in organizations: Heedful interrelating on flight decks. Admin. Sci. Quart. (1993) 38(3):357–381Crossref, Google Scholar
• Wood R. E. Task complexity: Definition of the construct. Organ. Behav. Human Decision Processes (1986) 37(1):60–82Crossref, Google Scholar
• Xia W., Lee G. Complexity of information systems development projects: Conceptualization and measurement development. J. Management Inform. Systems (2005) 22(1):45–83Crossref, Google Scholar