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Journal of Business and Psychology

Erschienen in:

18.05.2017 | Original Paper

First and Second Strings: Using Entity Analytics to Contrast Core and Supporting Teams

verfasst von: Ina S. Markham, Steven E. Markham

Erschienen in: Journal of Business and Psychology | Ausgabe 5/2017

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Abstract

Purpose

This research demonstrates the importance of the concept of the core team (Humphrey et al. in Journal of Applied Psychology 94:48–61, 2009) in contrast to supporting or peripheral members within the context of larger nominal teams. It asks the question, “In a team-oriented organization, should we assume that all nominal team members are, in fact, relatively equal contributors?”

Design

Utilizing individual batter, fielder, and pitcher data from the National League from 2005 to 2014, we operationalize the concept of the core group, which is a subset of high-performing members.

Findings

After testing for aggregation, we found that for core team members, their collective versions of batting average, runs batted in (RBI), and pitching earned run average (ERA) significantly predicted team win-loss percentages with an R² of .62, p < .0001. The prediction of team attendance based on the performances of the core team was also significant with an R² of .40, p < .0001. The same three independent variables based solely on supporting players were neither aggregable nor significant. Similarly, results for the nominal teams composed of all players on the roster were also not aggregable.

Implications

These findings highlight the importance of identifying and managing core members (Fonti et al. Strategic Management Journal 37:1765–1786, 2016). Implications for team settings in management and business settings are discussed.

Originality

WABA provides a unique multi-level, visual analytical tool for testing the existence of entities for these baseball data. Its application shows very different data configurations for nominal, core, and support subteams and dissimilar patterns of relationships among the key performance variables for each type of team.

Vorheriger Artikel Ch-Ch-Ch-changes: How Action Phase Functional Leadership, Team Human Capital, and Interim vs. Permanent Leader Status Impact Post-transition Team Performance

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Sabermetrics is the term given to the statistical study of baseball data, and it is derived from SABR (Society for American Baseball Research) which was founded in 1971 and coined by Bill James, one of its pioneers.

A “native” outcome measure exists only at the higher level of analysis and cannot be decomposed. A baseball example would be the win-loss percentage, which is a measure exclusively at the franchise level of analysis.

Aguinis, H., & Bradley, K. J. (2015). The secret sauce for organizational success: Managing and producing star performers. Organizational Dynamics, 44, 161–168.CrossRef

Ahn, S. C., & Lee, Y. H. (2014). Major League Baseball attendance: Long-term analysis using factor models. Journal of Sports Economics, 15, 451–477.CrossRef

Aime, F., Humphrey, S., Derue, D. S., & Paul, J. B. (2014). The riddle of heterarchy: Power transitions in cross-functional teams. Academy of Management Journal, 57, 327–352.CrossRef

Ambruso, P. (2014). Managing through core teams, boundary conditions, and plans of record. California: Pamoga LLC.

Annala, C. N., & Winfree, J. (2011). Salary distribution and team performance in Major League Baseball. Sport Management Review, 14, 167–175.CrossRef

Baumer, B., & Zimbalist, A. (2013). The sabermetric revolution: Assessing the growth of analytics in baseball. Philadelphia: University of Pennsylvania Press.

Belanger, F., Cefaratti, M., Carte, T., & Markham, S. E. (2014). Multilevel research in information systems: Concepts, strategies, problems, and pitfalls. Journal of the Association for Information Systems, 15, 614–650.

Castro, S. L. (2002). Data analytic methods for the analysis of multilevel questions—a comparison of intraclass correlation coefficients, r (wg (j)), hierarchical linear modeling, within- and between-analysis, and random group resampling. Leadership Quarterly, 13, 69–93.CrossRef

Cavins, H. M. (1938). A study to discover the relative numbers of baseball games won at home and away from home in the major leagues. Research Quarterly, 9, 57–59.

Chopra, V., & Safdar, N. (2013). Development of a core team for the management of peripherally inserted central catheters reply. Infection Control and Hospital Epidemiology, 34, 1329–1330.CrossRefPubMed

Crocker, A., & Eckardt, R. (2014). A multilevel investigation of individual- and unit-level human capital complementarities. Journal of Management, 40, 509–530.CrossRef

Dansereau, F., Alutto, J. A., & Yammarino, F. J. (1984). Theory testing in organizational behavior: The varient approach. Englewood Cliffs, NJ: Prentice-Hall.

Dansereau, F., & McConnell, J. J. (2000). Data enquiry that tests entity and correlational/causal theories for Windows® user’s manual. Buffalo: Institute for Theory Testing.

Dansereau, F., Yammarino, F. J., Markham, S. E., Alutto, J. A., Newman, J., Dumas, M., Nachman, S. A., Naughton, T. J., Kim, K., Al-Kelabi, S. A. H., Lee, S., & Keller, T. (1995). Individualized leadership: A new multiple-level approach. Leadership Quarterly, 6, 413–450.CrossRef

Davis, M. C. (2008). The interaction between baseball attendance and winning percentage: A VAR analysis. International Journal of Sport Finance, 3, 58–73.

Denis, J. L., Lamothe, L., & Langley, A. (2001). The dynamics of collective leadership and strategic change in pluralistic organizations. Academy of Management Journal, 44, 809–837.CrossRef

Drucker, P. F. (1993). Post-capitalist society. New York City: HarperCollins.

Drucker, P. F. (1999). Management challenges for the 21st century. New York City: HarperCollins.

Fonti, F., & Maoret, M. (2016). The direct and indirect effects of core and peripheral social capital on organizational performance. Strategic Management Journal, 37, 1765–1786.CrossRef

Geyer, R., Kilgore, J., Chow, S., Grant, C., Gibson, A., & Rice, M. (2016). Core team members’ impact on outcomes and process improvement in the initial resuscitation of trauma patients. Journal of Trauma Nursing, 23, 83–88.CrossRefPubMed

Habal, M. B. (2012). The core teams concept in craniofacial surgery from the start. Journal of Craniofacial Surgery, 23, 1943–1943.PubMed

Hausknecht, J. P., & Holwerda, J. A. (2013). When does employee turnover matter? Dynamic member configurations, productive capacity, and collective performance. Organization Science, 24, 210–225.CrossRef

Humphrey, S. E., Morgeson, F. P., & Mannor, M. J. (2009). Developing a theory of the strategic core of teams: A role composition model of team performance. Journal of Applied Psychology, 94, 48–61.CrossRefPubMed

Jane, W. J. (2010). Raising salary or redistributing it: A panel analysis of Major League Baseball. Economics Letters, 107, 297–299.CrossRef

Jewell, R. T., & Molina, D. J. (2004). Productive efficiency and salary distribution: The case of US Major League Baseball. Scottish Journal of Political Economy, 51, 127–142.CrossRef

Johns, G. (1998). Aggregation or aggravation? The relative merits of a broad withdrawal construct. Journal of Organizational Behavior, 19, 453–462.CrossRef

Kahkonen, K., Keinanen, M., & Naaranoja, M. (2013). Core project teams as an organizational approach for projects and their management. In J. P. Pantouvakis (Ed.), Selected papers from the 26th IPMA (Vol. 74, pp. 369–376). Amsterdam: Elsevier Science.

Katz, N. (2001). Sports teams as a model for workplace teams: Lessons and liabilities. Academy of Management Executive, 15, 56–67.CrossRef

Kleiner, A. (2003). Core groups: A theory of power and influence for “learning” organizations. Journal of Organizational Change Management, 16, 666–683.CrossRef

Knowles, C. E. F., Knowles, R. N., Moore, M., Asspc, Q., & Participat. (1997). The use of core teams to build shareholder value. Cincinnati: Assoc Quality & Participation.

Koch, R. (1999). The 80/20 principle: The secret to achieving more with less. Danvers, MA: Crown Business.

Lahman, S. (2015). Lahman’s Baseball Database. In (Vol. 2015, pp. Microsoft Access Relational Database): Sean Lahman.

Lee, Y. H. (2011). Is the small-ball strategy effective in winning games? A stochastic frontier production approach. Journal of Productivity Analysis, 35, 51–59.CrossRef

Leung, A., Foo, M. D., & Chaturvedi, S. (2013). Imprinting effects of founding core teams on HR values in new ventures. Entrepreneurship Theory and Practice, 37, 87–106.CrossRef

Lewis, H. F., Lock, K. A., & Sexton, T. R. (2009). Organizational capability, efficiency, and effectiveness in Major League Baseball: 1901-2002. European Journal of Operational Research, 197, 731–740.CrossRef

Lingard, L., McDougall, A., Levstik, M., Chandok, N., Spafford, M. M., & Schryer, C. (2012). Representing complexity well: A story about teamwork, with implications for how we teach collaboration. Medical Education, 46, 869–877.CrossRefPubMed

Link, C. R., & Yosifov, M. (2012). Contract length and salaries compensating wage differentials in Major League Baseball. Journal of Sports Economics, 13, 3–19.CrossRef

Mack, M. C. (2009). The pocket guide to burnout-free small group leadership: How to gather a core team and lead from the second chair. Houston, Texas: Touch Publications.

Markham, S. E. (2010). Leadership, levels of analysis, and deja vu: Modest proposals for taxonomy and cladistics coupled with replication and visualization. Leadership Quarterly, 21, 1121–1143.CrossRef

Markham, S. E., Dansereau, F., Alutto, J. A., & Dumas, M. (1983). Leadership convergence: An application of within and between analysis to validity. Applied Psychological Measurement, 7, 63–72.CrossRef

Markham, S. E., Markham, I. S., & Braekkan, K. F. (2014a). A visual illustration of induction in multilevel methods: The problem of leaders awarding countervailing merit components. Journal of Business and Psychology, 29, 503–518.CrossRef

Markham, S. E., Markham, I. S., & Smith, J. W. (2015). At the crux of dyadic leadership: A new approach to analyzing self-other agreement for leaders and direct reports. Leadership Quarterly.

Markham, S. E., & McKee, G. H. (1995). Group absence behavior and standards: A multilevel analysis. Academy of Management Journal, 38, 1174–1190.CrossRef

Markham, S. E., Scott, K. D., & Cox Jr., W. G. (1992a). The evolutionary development of a Scanlon plan. Compensation and Benefits Review, 24, 50.CrossRef

Markham, S. E., Scott, K. D., & Little, B. L. (1992b). National gainsharing study: The importance of industry differences. Compensation and Benefits Review, 24, 34.CrossRef

Markham, S. E., Smith, J. W., Markham, I. S., & Braekkan, K. F. (2014b). A new approach to analyzing the Achilles’ heel of multisource feedback programs: Can we really trust ratings of leaders at the group level of analysis? Leadership Quarterly, 25, 1120–1142.CrossRef

Markham, S. E., Yammarino, F. J., Murry, W. D., & Palanski, M. E. (2010). Leader-member exchange, shared values, and performance: Agreement and levels of analysis do matter. Leadership Quarterly, 21, 469–480.CrossRef

Marsh, D. C. B. (1961). Number of games won in a major league baseball season. American Mathematical Monthly, 68, 675.

Mathieu, J. E., Tannenbaum, S. I., Donsbach, J. S., & Alliger, G. M. (2014). A review and integration of team composition models: Moving toward a dynamic and temporal framework. Journal of Management, 40, 130–160.CrossRef

More, K. V., & Tzafrir, S. S. (2009). The role of trust in core team employees: A three-nation study. Cross Cultural Management-an International Journal, 16, 410–433.CrossRef

Mueller, S., Lalovic, A., Dempsey, A. R., Rosalie, S. M., & Harbaugh, A. G. (2014). Pick-up of early visual information to guide kinetics and kinematics within a group of highly skilled baseball batters. Perceptual and Motor Skills, 119, 347–362.CrossRef

Nord, W. R. (2003). Core group theory and the emancipation agenda. Journal of Organizational Change Management, 16, 684–690.CrossRef

Papps, K. L., Bryson, A., & Gomez, R. (2011). Heterogeneous worker ability and team-based production: Evidence from major league baseball, 1920-2009. Labour Economics, 18, 310–319.CrossRef

Parcell, B. J., Ratnayake, L., Zealley, I., & Phillips, G. (2013). Development of a core team for the management of peripherally inserted central catheters. Infection Control and Hospital Epidemiology, 34, 1328–1329.CrossRefPubMed

Podhorzer, M. (2013). Projecting X: How to forecast baseball player performance. Amazon Digital Services: Mike Podhorzer.

Pollet, T. V., Stulp, G., Henzi, S. P., & Barrett, L. (2015). Taking the aggravation out of data aggregation: A conceptual guide to dealing with statistical issues related to the pooling of individual-level observational data. American Journal of Primatology, 77, 727–740.CrossRefPubMed

Richards, D. G., & Guell, R. C. (1998). Baseball success and the structure of salaries. Applied Economics Letters, 5, 291–296.CrossRef

Robles, G., Gonzalez-Barahona, J. M., & Herraiz, I. (2009). Evolution of the core team of developers in libre software projects. 6th IEEE International Working Conference on Mining Software Repositories, pp. 167–170.

San, G., & Jane, W. J. (2008). Wage dispersion and team performance: Evidence from the small size professional baseball league in Taiwan. Applied Economics Letters, 15, 883–886.CrossRef

Silver, N. (2012). The signal and the noise: Why so many predictions fail—but some don’t. New York, New York: Penguin Press.

Sinsky, C. A., Sinsky, T. A., Althaus, D., Tranel, J., & Thiltgen, M. (2010). ‘Core teams’: Nurse-physician partnerships provide patient-centered care at an Iowa practice. Health Affairs, 29, 966–968.CrossRefPubMed

Summers, J. K., Humphrey, S. E., & Ferris, G. R. (2012). Team member change, flux in coordination, and performance: Effects of strategic core roles, information transfer, and cognitive ability. Academy of Management Journal, 55, 314–338.CrossRef

Svancara, L. K., Garton, E. O., Chang, K. T., Scott, J. M., Zager, P., & Gratson, M. (2002). The inherent aggravation of aggregation: An example with elk aerial survey data. Journal of Wildlife Management, 66, 776–787.CrossRef

Tamura, S., & Ishikuma, T. (2003). Forming a core team (teacher, school counselor, and parent) to support a student: Parents as supporters. Japanese Journal of Educational Psychology, 51, 328–338.CrossRef

White, A. J., Wertheim, E. H., Freeman, E., & Trinder, M. (2013). Evaluation of a core team centred professional development programme for building a whole-school cooperative problem solving approach to conflict. Educational Psychology, 33, 192–214.CrossRef

Whiting, R. (1991). Core teams take the front lines. Electronic Business, 17, 50.

Woehr, D. J., Loignon, A. C., & Schmidt, P. (2015). Aggregation aggravation: The fallacy of the wrong level revisited. Abingdon: Routledge.

Yammarino, F. J., Dionne, S. D., Chun, J. U., & Dansereau, F. (2005). Leadership and levels of analysis: A state-of-the-science review. Leadership Quarterly, 16, 879–919.CrossRef

Yammarino, F. J., & Markham, S. E. (1992). On the application of within and between analysis: Are absence and affect really group-based phenomena. Journal of Applied Psychology, 77, 168–176.CrossRef

Yammarino, F. J., Salas, E., Serban, A., Shirreffs, K., & Shuffler, M. L. (2012). Collectivistic leadership approaches: Putting the “we” in leadership science and practice. Industrial and Organizational Psychology-Perspectives on Science and Practice, 5, 382–402.CrossRef

Titel: First and Second Strings: Using Entity Analytics to Contrast Core and Supporting Teams
verfasst von: Ina S. Markham
Steven E. Markham
Publikationsdatum: 18.05.2017
Verlag: Springer US
Erschienen in: Journal of Business and Psychology / Ausgabe 5/2017
Print ISSN: 0889-3268
Elektronische ISSN: 1573-353X
DOI: https://doi.org/10.1007/s10869-017-9496-7

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Abstract

Purpose

Design

Findings

Implications

Originality

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