Gender and corporate governance academic publishing over the last three decades: systemic mapping

Anna Doś; Fragkoulis Papagiannis; Iwona Gorzeń-Mitka

doi:10.2478/ijcm-2026-0001

Figures & Tables

Conceptual design of the research process

Chronological distribution of documents in the dataset

The formulated research database: Initial phase.

The formulated research database: Emerging phase.

The formulated research database: Pre-expansion phase.

The formulated research database: Expansion phase.

Initial phase of the thematic evolution: First time-period results (1995–2009).

Emerging phase of the thematic evolution: end of the Second time-period results (2010–2015).

First pre-expansion phase of the thematic evolution: Third time-period results (2016–17).

Second pre-expansion phase of the thematic map: Fourth time-period results (2018–2019).

First expansion phase of the thematic evolution map: Fifth time-period results (2020–2021).

Second expansion phase of the thematic evolution map: Sixth time-period results (2022–2023).

The evolution of themes across the TCCM framework_

TCCM Element/Time-period	1st Time-period	2nd Time-period	3rd Time-period	4th Time-period	5th Time-period	6th Time-period
Theory	Corporate governance theory (emphasis on supervision and management structure)	Corporate social responsibility (CSR) Resource dependency theory	Resource dependency theory Legitimacy theory	Resource dependency theory Legitimacy theory	Stakeholder theory Resource dependency theory	Resource-dependency theory Institutional theory Stakeholder theory
Context	No explicit geographic context – early, conceptual phase of the field	Focus on social and ethical dimensions of governance	Developing countries Emerging markets	Emerging markets Developing countries Europe	Emerging markets Developing countries Dual-board system Mergers Family business	Emerging markets Developing countries Malaysia Banking sector Sub-national institutions
Characteristics	Gender diversity Firm performance Audit committee Board composition Board members Gender Market value	Gender diversity Firm performance Gender quota	Corporate-governance Human Women-directors Top-management teams Audit committee Gender Corporate donation Market value Gender equity	Corporate governance Investment Women on boards Gender equity Financial reporting Non-performing loan Board attributes Internal controls	Corporate governance Audit committee Corporates Financial performance Female Sustainable Development Goals (SDG) Bank profitability Corporate philanthropy Women on boards Executive compensation	Corporate governance Corporate governance disclosure Audit fees Corporates Sustainable Development Goals (SDGs) Institutional environment Women on board Investment Independent director Critical mass Corporate donation
Methodology	Mainly descriptive and correlational analyses; limited quantitative approaches	Multivariate analysis	Increasing methodological complexity; cross-country empirical analyses (implicit use of panel data)	Empirical research ((panel data models, regression-based quantitative analyses))	Empirical research, Multivariate analysis Panel data regression models	Empirical research (quantitative studies using panel data and multivariate analysis)

Formulas of indexes used in SciMAT analysis

Measure	Formula	Description of Symbols
Equivalence index	Eij=Cij2CiCj {E_{ij}} = {{C_{ij}^2} \over {{C_i}{C_j}}}	E_ij - the equivalence index;
		i, j, …. - keywords
		C_i - the number of occurrences of the keyword “i”;
		C_j - the number of occurrences of the keyword “j”;
		C_ij - the number of co-occurrences of the keywords “i” and “j”.
Centrality	c=10∑ euv c = 10\sum {{e_{uv}}}	c – centrality;
		u - an item belonging to the cluster;
		v - an item belonging to other clusters.
Centrality range	cru=cu−cmincmax−cmin {cr_u} = {{{c_u} - {c_{\min }}} \over {{c_{\max }} - {c_{\min }}}}	cr_u – centrality range;
		c_u – the original centrality values of cluster u
		c_max, c_min – the maximum and minimum values within the dataset
Density	d=100∑ eijn d = 100{{\sum {{e_{ij}}} } \over n}	d- density;
		i, j - items belonging to the cluster;
		n- the number of items in the theme
Density range	dru=du−dmindmax−dmin {{dr}_u} = {{{d_u} - {d_{\min }}} \over {{d_{\max }} - {d_{\min }}}}	dr_u – centrality range;
		d_u – the original density values of cluster u
		d_max, d_min – the maximum and minimum values within the dataset
Stability index	Sij=nt1t2nt1+nt2−nt1t2 {S_{ij}} = {{{n_{{t_1}{t_2}}}} \over {{n_{{t_1}}} + {n_{{t_2}}} - {n_{{t_1}{t_2}}}}}	S_ij - the stability index;
		t₁, t₂, …. - periods
		n_t1 – the number of keywords related to period t₁;
		n_t2 - the number of keywords related to period t₂;
		n_t1t2 - the number of keywords shared by periods t₁ and t₂.

The top ten most frequently cited papers

Rank	TITLE OF THE PAPER	AUTHOR	JOUR.	YEAR	TC	TCY
1	The gender and ethnic diversity of US boards and board committees and firm financial performance.	Carter, D. A., D’Souza, F., Simkins, B. J., & Simpson, W. G.	CG_IR	2010	933	71,8
2	Women directors on corporate boards: A review and research agenda.	Terjesen, S., Sealy, R., & Singh, V.	CG_IR	2009	771	50,1
3	Does board gender diversity improve the informativeness of stock prices?	Gul, F. A., Srinidhi, B., & Ng, A. C.	JAE	2011	718	59,8
4	Gender diversity, board independence, environmental committee, and greenhouse gas disclosure.	Liao, L., Luo, L., & Tang, Q.	BAR	2015	703	87,9
5	The contribution of women on boards of directors: Going beyond the surface	Nielsen, S., & Huse, M	CG_IR	2010	622	47,8
6	The role of the board in the dissemination of integrated corporate social reporting	Frias-Aceituno, J. V., Rodríguez-Ariza, L., & García-Sánchez, I. M.	CSR_EM	2013	408	40,8
7	Corporate governance and board composition: Diversity and independence of Australian boards	Kang, H., Cheng, M., & Gray, S. J.	CG_IR	2007	407	25,4
8	Gender-related boardroom dynamics: How Scandinavian women make and can make contributions on corporate boards	Huse, M., & Grethe Solberg, A.	WMR	2006	388	22,8
9	Does the presence of independent and female directors impact firm performance? A multi-country study of board diversity	Terjesen, S., Couto, E. B., & Francisco, P. M.	JMG	2016	370	52,9
10	Executive board composition and bank risk taking.	Berger, A. N., Kick, T., & Schaeck, K.	JCF	2014	333	37

A review of bibliometric studies mapping gender and corporate governance key parameters

Authors	Focus	Data source	Sample	Time-period	Software	Filters	Scientific productivity	Cited papers	Cited authors	Major themes	Thematic network	Thematic evolution
Terjesen et al., 2009	women on corporate boards	EBSCO, ProQuest, Google Scholar, directly from authors	180	until 2009	Manually	0	0	0	0	x	x	0
Kagzi and Guha, 2018	board demographic diversity	EBSCO	na	1989–2016	Manually	0	0	0	0	x	0	0
Baker et al. 2020	board demographic diversity	Web of Science	579	1999–2019	BibExcel, Gephi	x	x	x	x	x	x	0
Sánchez-Teba et al. 2020	gender diversity of boards	Web of Science	168	1994–2020	VOSviewer	0	0	x	x	x	x	partially
Singh et al. 2021	gender diversity of boards	Scopus	352	1989–2021	VOSviewer	x	x	x	x	x	x	partially
Mumu et al. 2022	gender diversity in corporate governance	Web of Science	393	1992–2020	VOSviewer	x	x	0	x	x	x	0
Basher et al. 2022	gender diversity of boards	Scopus	1413	2000–2021	VOSviewer, R Studio, META	x	x	x	0	x	x	0
Vieira et al. 2022	gender diversity in corporate governance	Scopus	402	2017–2021	Scopus	x	x	x	0	0	0	0

Gender and corporate governance academic publishing over the last three decades: systemic mapping

Figures & Tables

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Figure A1.

The evolution of themes across the TCCM framework_

Formulas of indexes used in SciMAT analysis

The top ten most frequently cited papers

A review of bibliometric studies mapping gender and corporate governance key parameters

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