Utilizing Artificial Intelligence for Stakeholder Engagement and Social Innovation in Addressing Climate Change: A Conceptual Framework and Future Research Agenda

Surajit Bag; Susmi Routray; Santosh Kumar Srivastava; David Roubaud; Abla Chaouni Benabdellah; Oksana Grebinevych

doi:10.4018/JGIM.366588

Utilizing Artificial Intelligence for Stakeholder Engagement and Social Innovation in Addressing Climate Change: A Conceptual Framework and Future Research Agenda

Surajit Bag
, Susmi Routray
, Santosh Kumar Srivastava
, David Roubaud
, Abla Chaouni Benabdellah
, Oksana Grebinevych

Excelia Business School
Institute of Management Technology, Ghaziabad
Montpellier Business School
Rabat Business School

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

This study employs Systematic Literature Review (SLR) and thematic analysis to explore the topics of Artificial Intelligence (AI), Stakeholder Engagement (SE) and social innovation. To enhance methodological rigor, the study integrated literature analysis and social media analysis to recognize topics within texts using Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The study highlights AI's influence on social engagement, aligning with diffusion theory, stressing the need to emphasize AI's benefits for faster adoption.

Original language	English
Journal	Journal of Global Information Management
Volume	32
Issue number	1
DOIs	https://doi.org/10.4018/JGIM.366588
Publication status	Published - Jan 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 16 Peace, Justice and Strong Institutions

Keywords

Artificial Intelligence
Change, Social Innovation
Climate
Grand Societal Challenges
Information Management
Stakeholder Engagement

ASJC Scopus subject areas

Business and International Management
Computer Science Applications
Strategy and Management
Management Science and Operations Research
Information Systems and Management

Access to Document

10.4018/JGIM.366588

Cite this

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title = "Utilizing Artificial Intelligence for Stakeholder Engagement and Social Innovation in Addressing Climate Change: A Conceptual Framework and Future Research Agenda",

abstract = "This study employs Systematic Literature Review (SLR) and thematic analysis to explore the topics of Artificial Intelligence (AI), Stakeholder Engagement (SE) and social innovation. To enhance methodological rigor, the study integrated literature analysis and social media analysis to recognize topics within texts using Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The study highlights AI's influence on social engagement, aligning with diffusion theory, stressing the need to emphasize AI's benefits for faster adoption.",

keywords = "Artificial Intelligence, Change, Social Innovation, Climate, Grand Societal Challenges, Information Management, Stakeholder Engagement",

author = "Surajit Bag and Susmi Routray and Srivastava, \{Santosh Kumar\} and David Roubaud and Benabdellah, \{Abla Chaouni\} and Oksana Grebinevych",

year = "2024",

month = jan,

doi = "10.4018/JGIM.366588",

language = "English",

volume = "32",

journal = "Journal of Global Information Management",

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T2 - A Conceptual Framework and Future Research Agenda

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AU - Routray, Susmi

AU - Srivastava, Santosh Kumar

AU - Roubaud, David

AU - Benabdellah, Abla Chaouni

AU - Grebinevych, Oksana

PY - 2024/1

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AB - This study employs Systematic Literature Review (SLR) and thematic analysis to explore the topics of Artificial Intelligence (AI), Stakeholder Engagement (SE) and social innovation. To enhance methodological rigor, the study integrated literature analysis and social media analysis to recognize topics within texts using Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The study highlights AI's influence on social engagement, aligning with diffusion theory, stressing the need to emphasize AI's benefits for faster adoption.

KW - Artificial Intelligence

KW - Change, Social Innovation

KW - Climate

KW - Grand Societal Challenges

KW - Information Management

KW - Stakeholder Engagement

UR - https://www.scopus.com/pages/publications/85214419276

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M3 - Article

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VL - 32

JO - Journal of Global Information Management

JF - Journal of Global Information Management

IS - 1

ER -

Utilizing Artificial Intelligence for Stakeholder Engagement and Social Innovation in Addressing Climate Change: A Conceptual Framework and Future Research Agenda

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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