Upper Echelons in Professional Sport: The Impact of NBA General Managers on Team Performance

Juravich, Matthew; Salaga, Steven; Babiak, Kathy

doi:10.1123/jsm.2017-0044

Cited by 24 publications

(23 citation statements)

References 42 publications

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“…Research on top management human capital typically has focused solely on the CEO or TMT (Helfat and Martin, 2015). The organizations' context and whether collaborative decision-making is used are important considerations when determining whether to study the human capital of an individual or a group of individuals when examining human capital's effect on organizational performance (Juravich et al , 2017). Within NCAA football, the head coach and assistant coaches work together to make decisions that impact the team's performance; therefore, assessing the head coach and the assistant coaches gives a more complete picture of the human capital of the top managers of NCAA football teams.…”

Section: Discussionmentioning

confidence: 99%

“…When examining the effects of manager human capital on organizational performance, it is important to decide whether to focus on a single person, such as the CEO, or a group of managers, such as the TMT (Juravich et al , 2017). In making this decision, it is crucial to consider the context of the organizations under study and whether the organizations use collaborative decision making or if a single individual makes decisions (Juravich et al , 2017). In the context of our sample of college football teams, the head coach acts as the CEO, while the assistant coaches act as the TMT under the CEO (head coach).…”

Section: Theory and Hypothesis Developmentmentioning

confidence: 99%

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Everyone must help: performance implications of CEO and top management team human capital and corporate political activity

Harris

Brown

2021

JOEPP

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PurposeWhile research has shown that multiple actors, both internal and external to the organization, influence performance, oftentimes, these actors are studied in isolation. This paper aims to examine the performance implications of both top management team (TMT) and chief executive officer (CEO) human capital. In addition, the authors consider external actors' influence on performance by examining corporate political activity (CPA).Design/methodology/approachThe authors use a sample of National Collegiate Athletic Association (NCAA) football teams, examining human capital data on the head coaches and the assistant coaches, combined with the schools' participation in NCAA football committees.FindingsThe study findings indicate that organizations engage in various market and nonmarket strategies in concert, and that different strategies result in performance outcome differences. Specifically, we examine how the use of CEO and TMT human capital and CPA interact and influence performance.Practical implicationsThe authors examine the moderating effects of political activity on the human capital–performance relationship for both top leaders and TMTs. Organizations benefit from investing in the human capital of their leaders internally and CPA externally.Originality/valueWhile organizations engage in market and nonmarket actions in concert, management research has generally studied these concepts in isolation. This paper suggests that both market and nonmarket activities can influence performance.

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Section: Discussionmentioning

confidence: 99%

Section: Theory and Hypothesis Developmentmentioning

confidence: 99%

Everyone must help: performance implications of CEO and top management team human capital and corporate political activity

Harris

Brown

2021

JOEPP

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“…In professional sport, team owners have decision-making discretion in establishing the organizational structure and chain of command as well as strategic development, implementation and assessment—including around choices related to CP (Robinson, 2005 ; Carter, 2015 ; Juravich et al, 2017 ; O'Reilly, 2019 ). Professional sport team owners have been described as deeply and personally committed to ensuring that they and their team contribute beyond simply sport performance.…”

Section: Literature Review and Theoretical Framingmentioning

confidence: 99%

Team Ownership and Philanthropy in Professional Sport: A Perspective on Organizational Generosity

Babiak

Yang

2022

Front. Sports Act. Living

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Corporate philanthropy (CP) is a vehicle for businesses to create a social impact in communities where their operations are located. An overlooked aspect of this phenomenon is the role and function played by CP influencers within firms—particularly organizational principals/owners. Using an upper echelons perspective, this study explores the relationship between team ownership and the level of CP in the professional sport context. To this end, longitudinal data of philanthropic giving of 94 U.S. professional sport teams in the NBA, NFL, MLB, and NHL were collected. We also collected team owner characteristics such as individual/family ownership, age, tenure as team owner, other charitable work, educational background, and connection to community from a variety of publicly available sources. The findings revealed that team owner age, ownership tenure, and previous philanthropic involvement contributed to increased charitable giving in professional sport team corporate foundations. Theoretical and practical implications of these findings are discussed in the paper.

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“…In another application of hierarchical regression modeling using NFL and MLB season‐level data from 1970 to 2011, Goff () shows that both managers and GMs contribute to winning but that these contributions differ across sports and within sports over time. Juravich et al () utilize 17 years of NBA data and find that characteristics of GMs such as playing experience and educational background correlate with team winning percentages.…”

Section: Theoretical and Empirical Background On Managerial Impactsmentioning

confidence: 99%

“…A 2011 special issue of the Journal of Management is devoted to resource-based theories of the firm and managers. 4 Examples include Crocker and Eckardt (2013) and Juravich, Salaga, and Babiak (2017). 5 Bloom along with a variety of coauthors has used similar data showing large effects of management across the world and in specific places such as India.…”

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confidence: 99%

The effect of management changes on winning in professional sports: Analysis using a dynamic lag adjustment model

2019

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This paper examines whether coaching and general manager (GM) changes among three professional sports leagues—the National Football League (NFL), the Major League Baseball (MLB), and the National Basketball Association (NBA)—effect on‐field performance. Our empirical methodology uses team‐level data by season and adapts a lag adjustment econometric approach designed to resolve several statistical challenges that arise both in general managerial settings and in sports settings. Our main finding is that coaching changes in the NFL boost the number of wins per season by between 0.5 and 1.2 in each of the first five seasons. Coaching changes have smaller, but still positive, impacts in the MLB and NBA. For all the three leagues, we find that GM changes have no discernable impact on performance. A separate cross‐sectional analysis suggests that those small impacts stem from coaches and GMs having extremely compressed talent distributions. The data indicate that coaches and GMs, en masse, are important, but changing the people who occupy those positions rarely seems to move teams to different locations on the performance distribution.

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Upper Echelons in Professional Sport: The Impact of NBA General Managers on Team Performance

Cited by 24 publications

References 42 publications

Everyone must help: performance implications of CEO and top management team human capital and corporate political activity

Everyone must help: performance implications of CEO and top management team human capital and corporate political activity

Team Ownership and Philanthropy in Professional Sport: A Perspective on Organizational Generosity

The effect of management changes on winning in professional sports: Analysis using a dynamic lag adjustment model

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