Managing complexity by business networks: the case of multi-club ownership in professional football

Purpose This paper aims to analyse the management of complexity through the examination of differences between professional football clubs operating in multi-club ownership (MCO) and single-club ownership (SCO). Particularly, this study investigates the management of complexity as the management of risks originating from external factors in professional football clubs providing business model drivers supporting complexity management. Design/methodology/approach We applied an interpretive-qualitative method through textual analysis to define the main drivers in managing complexity focusing on the comparison among MCO and SCO clubs. We also applied the main indexes of readability to complete evidence in managing complexity. We used the lens of Vatankhah et al. (2023). Findings We contribute to existing literature in the management of complexity proposing theoretical advances in the network and transparency. Our findings reveal that clubs in MCO are more transparent than clubs in SCO. MCO clubs often have investment funds as shareholders among clubs requiring transparency. There are multiple people behind the funds who invest in MCO also requiring information about the companies belonging to the network and their results. Sports authorities and media pay attention to fund managers making a greater effort at transparency. Additionally, a significant role is played by fans' demand for more transparency. The network appears more transparent than single companies when the number of stakeholders increases and the information requested by stakeholders. Practical implications Theoretical and practical implications are directed to academics, decision-makers and policymakers. We highlight that professional football is a relevant economic sector in the economy. They could be investigated by authorities to discipline their application. Practical implications are that: (a) sportive authorities should define and focus tools directed to foster corporate transparency such as the network reports or statements and (b) the MCO’s managers should increase the transparency tools to reassure the corporate management and results investors, fans and authorities. Originality/value This paper fills a literature gap, showing how networks are identified in the business model to manage the complexity of professional football clubs. Thus, we show that clubs in MCO are more transparent than clubs in SCO assuming the networks as facilitators in the complexity management.

Authors

Publication Details

Journal
Management Decision
Published
2025-05-08
DOI
https://doi.org/10.1108/md-12-2023-2438
Citations
2
Primary Topic
Business Strategy and Innovation
Type
article
Field-Weighted Citation Impact
4.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managing complexity by business networks: the case of multi-club ownership in professional football

Marco Lacchini, Raffaele Trequattrini, Maria Teresa Bianchi, Maria Schimperna
2 citations
Management Decision
Business Strategy and Innovation
4.45
article

Managing complexity by business networks: the case of multi-club ownership in professional football

Marco Lacchini, Raffaele Trequattrini, Maria Teresa Bianchi, Maria Schimperna
article en
2 citations

Abstract

Purpose This paper aims to analyse the management of complexity through the examination of differences between professional football clubs operating in multi-club ownership (MCO) and single-club ownership (SCO). Particularly, this study investigates the management of complexity as the management of risks originating from external factors in professional football clubs providing business model drivers supporting complexity management. Design/methodology/approach We applied an interpretive-qualitative method through textual analysis to define the main drivers in managing complexity focusing on the comparison among MCO and SCO clubs. We also applied the main indexes of readability to complete evidence in managing complexity. We used the lens of Vatankhah et al. (2023). Findings We contribute to existing literature in the management of complexity proposing theoretical advances in the network and transparency. Our findings reveal that clubs in MCO are more transparent than clubs in SCO. MCO clubs often have investment funds as shareholders among clubs requiring transparency. There are multiple people behind the funds who invest in MCO also requiring information about the companies belonging to the network and their results. Sports authorities and media pay attention to fund managers making a greater effort at transparency. Additionally, a significant role is played by fans' demand for more transparency. The network appears more transparent than single companies when the number of stakeholders increases and the information requested by stakeholders. Practical implications Theoretical and practical implications are directed to academics, decision-makers and policymakers. We highlight that professional football is a relevant economic sector in the economy. They could be investigated by authorities to discipline their application. Practical implications are that: (a) sportive authorities should define and focus tools directed to foster corporate transparency such as the network reports or statements and (b) the MCO’s managers should increase the transparency tools to reassure the corporate management and results investors, fans and authorities. Originality/value This paper fills a literature gap, showing how networks are identified in the business model to manage the complexity of professional football clubs. Thus, we show that clubs in MCO are more transparent than clubs in SCO assuming the networks as facilitators in the complexity management.

Management Decision
Openalex Percentile: Top 6%
Business Strategy and Innovation
4.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.