Trends in the thematic landscape of HR analytics research: a structural topic modeling approach

Priyanka Thakral; Praveen Ranjan Srivastava; Sanket Sunand Dash; Sajjad M. Jasimuddin; Zuopeng (Justin) Zhang

doi:10.1108/MD-01-2023-0080

Trends in the thematic landscape of HR analytics research: a structural topic modeling approach

Priyanka Thakral, Praveen Ranjan Srivastava, Sanket Sunand Dash, Sajjad M. Jasimuddin, Zuopeng (Justin) Zhang

Coggin College of Business

Research output: Contribution to journal › Review article › peer-review

Original language	English
Pages (from-to)	3665-3690
Number of pages	26
Journal	Management Decision
Volume	61
Issue number	12
DOIs	https://doi.org/10.1108/MD-01-2023-0080
State	Published - Nov 28 2023
Externally published	Yes

ASJC Scopus Subject Areas

General Business,Management and Accounting
Management Science and Operations Research

Keywords

Content analysis
Human resource analytics
Topic modeling

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10.1108/MD-01-2023-0080

Cite this

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title = "Trends in the thematic landscape of HR analytics research: a structural topic modeling approach",

keywords = "Content analysis, Human resource analytics, Topic modeling",

author = "Priyanka Thakral and Srivastava, {Praveen Ranjan} and Dash, {Sanket Sunand} and Jasimuddin, {Sajjad M.} and Zhang, {Zuopeng (Justin)}",

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year = "2023",

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day = "28",

doi = "10.1108/MD-01-2023-0080",

language = "English",

volume = "61",

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T1 - Trends in the thematic landscape of HR analytics research

T2 - a structural topic modeling approach

AU - Thakral, Priyanka

AU - Srivastava, Praveen Ranjan

AU - Dash, Sanket Sunand

AU - Jasimuddin, Sajjad M.

AU - Zhang, Zuopeng (Justin)

PY - 2023/11/28

Y1 - 2023/11/28

KW - Content analysis

KW - Human resource analytics

KW - Topic modeling

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U2 - 10.1108/MD-01-2023-0080

DO - 10.1108/MD-01-2023-0080

M3 - Review article

AN - SCOPUS:85165487982

SN - 0025-1747

VL - 61

SP - 3665

EP - 3690

JO - Management Decision

JF - Management Decision

IS - 12

ER -

Trends in the thematic landscape of HR analytics research: a structural topic modeling approach

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this