Evidence map›Paper›PMID 40405307›Full record

ArticleBMC research notes2025

Sexual harassment complaints across BSE100 companies: a longitudinal dataset (2013-2023).

Divya R, Gopi Ranga Nath V

Abstract read
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Divya RSchool of Law Christ (Deemed to be) University, Bangalore, India. divyar@res.christuniversity.in.
Gopi Ranga Nath VSchool of Law Christ (Deemed to be) University, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis dataset offers empirical support for understanding the number of sexual harassment complaints across various industries and sectors, and for analysing patterns over a decade. The data was manually collected from the annual integrated report or business responsibility report of each company on the BSE100 list. This dataset can be utilised by the Indian Ministry of Women & Child Development and related stakeholders as a foundation for studying the impact of previous interventions and policy changes on complaint reporting rates. Additionally, it can also be used to analyse patterns and trends and give way to revisions to existing legal frameworks and improvements to grievance redressal mechanisms for sexual harassment complaints. DATA DESCRIPTION: Data includes descriptive statistics for all variables and compares complaints received between each year and the subsequent year, with a total of 10 year-to-year comparisons for the period: 2013-2024. The variables are: (1) List of BSE100 Companies, (2) Industry, (3) Sector, (4) Number of sexual harassment complaints received for the periods: 2013-2024, (5) Number of sexual harassment complaints pending during the periods: 2013-2024.

Indexed as

IndustrySexual HarassmentFemaleHumansIndiaLongitudinal StudiesMaleBehavioural trendsBombay stock exchangeDisciplinary proceedingsInternal complaints committeeSexual harassmentWorkplace misconduct

Identifiers

PMID40405307
PMCPMC12101009

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.