From Montagues to Capulets: Analyzing the Systemic Nature of Rivalry in Career Mobility

Sgourev, Stoyan V.; Operti, Elisa

doi:10.5465/amj.2017.0662

Cited by 11 publications

(7 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As they become established professionals, jockeys go to great lengths to maintain their reputation for reliability, displaying adherence to social norms and expectations. 23 We found that jockeys who move to a rival tend to be neither natives of Siena nor from a distant part of the country, but come from the region surrounding the city (see Figure 1). Citizens of Siena tend to abide by the norms due to their integration in the city, while those from a distant region are subject to stricter monitoring because of their status as "outsiders."…”

Section: Rivalry In Competitive Labor Markets: Insights From the Palio DI Sienamentioning

confidence: 83%

Choose Your Enemies Well: Mapping, Managing, and Leveraging Rivalry

Operti

Sgourev

Lampronti

2021

California Management Review

Self Cite

View full text Add to dashboard Cite

There is an important constraint that can be used to regulate mobility in competitive labor markets—the existence of a deeply felt rivalry between employers. Rivalry denotes a stable antagonistic relationship between companies, as exemplified by Apple and IBM in the 1980s. Analyzing data from the Palio di Siena (an ancient horse race in Siena, Italy), this article shows that direct moves between rivals are rare, accounting for less than 2% of all career moves in this context between 1743 and 2011. Rivalry constrains not only direct but also indirect moves to the ally of a rival or the rival of an ally. This article presents a framework describing how managers can harness rivalry: mapping rivalry, managing rivalry to capitalize on its positive aspects, and leveraging rivalry to adjust the level of competitive intensity.

show abstract

Section: Rivalry In Competitive Labor Markets: Insights From the Palio DI Sienamentioning

confidence: 83%

Choose Your Enemies Well: Mapping, Managing, and Leveraging Rivalry

Operti

Sgourev

Lampronti

2021

California Management Review

Self Cite

View full text Add to dashboard Cite

show abstract

“…Goodness of fit for SAOMs are calculated as in ERGMs—that is, ensuring that networks simulated by the model resemble the observed network with respect to network statistics such as the degree distribution and the triad census. Organizational network studies applying SAOMs include Agneessens and Wittek (2012), Carnabuci et al (2018), de Klepper et al (2017), Kalish et al (2015), Schulte et al (2012), and Tröster et al (2019) on interpersonal network change and Corbo et al (2016), Howard et al (2017), Sgourev and Operti (2019), and Withers et al (2020) on interorganizational network change. The ties modeled in an MR-QAP, ERGM, or SAOM are assumed to be relational states rather than relational events. A relational state characterizes the relationship between two actors (e.g., friends or coworkers) and is continuously present until the state changes.…”

Section: Analytical Approaches To Network Dynamicsmentioning

confidence: 99%

Network Dynamics and Organizations: A Review and Research Agenda

Hongzhi

Mehra

Tasselli

et al. 2022

Journal of Management

View full text Add to dashboard Cite

This paper reviews the growing body of work on network dynamics in organizational research, focusing on a corpus of 187 articles—both “micro” (i.e., interpersonal) and “macro” (i.e., interorganizational)—published between 2007 and 2020. We do not see “network dynamics” as a single construct; rather, it is an umbrella term covering a wide territory. In the first phase of our two-phase review, we present a taxonomy that organizes this territory into three categories: (1) network change (i.e., the emergence, evolution, and transformation of network ties and structures), the occurrence of relational events (i.e., modeling the sequence of discrete actions generated by one actor and directed towards one or more other actors), and (3) coevolution (i.e., the process whereby network and actor attributes influence each other over time). Our review highlights differences between network dynamics based on relational states (e.g., a friendship) and relational events (e.g., an email message), examines the drivers and effects of network dynamics, and in a methodological appendix, clarifies the assumptions, strengths, and weaknesses of different analytical approaches for studying network dynamics. In the second phase of our review, we critically reflect on the findings from the first phase and sketch out a rough agenda for future research, organized in terms of four overarching themes: the interplay between the dynamics of social networks conceived as relational states and relational events, mechanisms underlying network dynamics, outcomes of network dynamics, and the role of cognition.

show abstract

“…Management journals increasingly provide authors the opportunity to publish a video abstract with the academic article. When research uses sports data, such video abstracts can be quite effective in disseminating their findings to a wider audience, as evocative video material from the sports context can be combined with business examples and research insights (e.g., Grohsjean, Kober, & Zucchini, 2016;Sgourev & Operti, 2019;Stuart & Moore, 2017). Short videos on research articles using sports data also allow lecturers to translate academic research for experienced MBA students, as sports examples resonate strongly with this audience.…”

Section: Figure 2 Linking Processes For Triangulation-based Mixed Met...mentioning

confidence: 99%

“…Second, by offering a clearer view of the mechanisms at play, using sports settings might lead to more cross-disciplinary research. Taking a different viewpoint could enable scholars to step back from contexts they are familiar with and thus, by looking at mechanisms in a more stylized fashion in sports settings, provide explanations of management phenomena that might span different areas of specialization and break down disciplinary silos (Shaw, Tangirala, Vissa, & Rodell, 2018).…”

Section: How Sports Data Can Advance Management Researchmentioning

confidence: 99%

Using Sports Data to Advance Management Research: A Review and a Guide for Future Studies

Fonti

Roß

Aversa

2022

Journal of Management

View full text Add to dashboard Cite

Sports contexts are increasingly used in management research to test and develop theory and explore managerially relevant phenomena. This growth in publications is likely driven by a series of advantages that sports data offers to management researchers. However, such positive features are not a panacea, as several drawbacks are also associated with leveraging sports data, which can limit their usefulness for management scholars. In this paper, we aim to provide management researchers guidance to leverage the advantages and avoid the drawbacks of leveraging sports contexts. To do so, we identify and review 249 papers published over the last 50 years that used sports data to advance management theories and shed light on managerial phenomena. After outlining how these works contributed to the growth of several key conversations in management research, we discuss the advantages of using sports data by outlining how they can advance management research both conceptually (e.g., theory building and radical theorizing) and empirically (e.g., triangulation and replication). We then discuss the potential drawbacks of research using sports data and suggest ways to compensate for them. We close by outlining several new directions in which scholars can leverage sports data to further advance management research.

show abstract

From Montagues to Capulets: Analyzing the Systemic Nature of Rivalry in Career Mobility

Cited by 11 publications

References 59 publications

Choose Your Enemies Well: Mapping, Managing, and Leveraging Rivalry

Choose Your Enemies Well: Mapping, Managing, and Leveraging Rivalry

Network Dynamics and Organizations: A Review and Research Agenda

Using Sports Data to Advance Management Research: A Review and a Guide for Future Studies

Contact Info

Product

Resources

About