Using Artificial Intelligence (AI) to Implement Diversity, Equity and Inclusion (DEI) into Marketing Materials: The 'CONSIDER' Framework

被引:10
作者
van Esch, Patrick [1 ,4 ]
Cui, Yuanyuan [2 ]
Heilgenberg, Kerstin [3 ]
机构
[1] Kennesaw State Univ, Kennesaw, GA USA
[2] Auckland Univ Technol, Auckland, New Zealand
[3] Univ Victoria, Victoria, BC, Canada
[4] Kennesaw State Univ, Michael J Coles Coll Business, Dept Mkt & Profess Sales, 560 Parliament Garden Way NW, Kennesaw, GA 30144 USA
来源
AUSTRALASIAN MARKETING JOURNAL | 2024年 / 32卷 / 03期
关键词
artificial intelligence; diversity; equity; inclusion; marketing; social constructivism theory; MANAGEMENT; PRINCIPLES;
D O I
10.1177/14413582241244504
中图分类号
F [经济];
学科分类号
02 ;
摘要
Diversity, equity and inclusion (DEI) in marketing- defined as the composition of an organisation's marketing reflects diverse, equitable representation of its consumer base, especially with respect to the use of inclusive, bias-free imagery, language and messaging among underrepresented, underserved and marginalised consumer segments - has led to the advancement of AI-enabled technologies to aid marketers improve the DEI of their marketing materials. To ensure DEI marketing strategies are fully considered and that the use of AI is implemented effectively, we suggest marketers to utilise our CONSIDER framework (comprehend current state, operationalise with openness, nurture dynamic relevance, set standards, involve stakeholders, diversify data, elevate literacy and regular monitoring). We then highlight the pros and cons for using AI to implement DEI into marketing materials and provide several AI-enabled metrics (accessibility, allyship, cultural sensitivity, diversity, gender parity, inclusivity intersectionality and representation) that offer a more objective and quantitative approach for marketers to assess how well they are meeting their DEI goals and identifying gaps in representation to make changes to improve the DEI of their marketing materials.
引用
收藏
页码:250 / 262
页数:13
相关论文
共 100 条
[71]   Diversity in Academic Medicine No. 1 Case for Minority Faculty Development Today [J].
Nivet, Marc A. ;
Taylor, Vera S. ;
Butts, Gary C. ;
Strelnick, A. Hal ;
Herbert-Carter, Janice ;
Fry-Johnson, Yvonne W. ;
Smith, Quentin T. ;
Rust, George ;
Kondwani, Kofi .
MOUNT SINAI JOURNAL OF MEDICINE, 2008, 75 (06) :491-498
[72]   "Genderation," Identity, and Authenticity in the LGBTQ Marketplace [J].
Oakenfull, Gillian W. .
AUSTRALASIAN MARKETING JOURNAL, 2024, 32 (03) :286-294
[73]  
OWEN R., 2021, Artificial intelligence at Nike two current use-cases
[74]  
Ozturgut O., 2017, J HIGHER ED THEORY P, V17, P83
[75]   The relationship between shareholder wealth effects, diversity, and publicity as a marketing strategy [J].
Pandey, VK ;
Shanahan, KJ ;
Hansen, SW .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2005, 33 (04) :423-431
[76]   Advancing customer diversity, equity, and inclusion: Measurement, stakeholder influence, and the role of marketing [J].
Park, Young Woong ;
Voss, Glenn B. ;
Voss, Zannie Giraud .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2023, 51 (01) :174-197
[77]   Value of corporate social responsibility for multiple stakeholders and social impact-Relationship marketing perspective [J].
Pfajfar, Gregor ;
Shoham, Aviv ;
Malecka, Agnieszka ;
Zalaznik, Maja .
JOURNAL OF BUSINESS RESEARCH, 2022, 143 :46-61
[78]  
Phelan S., 2023, Creating Innovation Value from Generative AI: A Property Rights Perspective
[79]  
Pinkett R., 2023, DATA DRIVEN DEI TOOL
[80]   Racial diversity, business strategy, and firm performance: A resource-based view [J].
Richard, OC .
ACADEMY OF MANAGEMENT JOURNAL, 2000, 43 (02) :164-177