Role of AI, technology in consumer decision-making,

Impact of social media

Several areas in marketing & retailing require further research as wrll as analysis which I have listed below -

1. Artificial Intelligence (AI) in Retail Marketing

2. Sustainability in Marketing

3. Consumer Behavior & AI-Driven Marketing

4. Supply Chain Management

5. Green AI

6. AI Adoption in SMEs

7. Ethical Considerations

8. Omnichannel Retailing

Without a doubt, and given the highly competitive nature of retail, the area that requires the most research and analysis for effective application is creative thinking. We need fresh, disruptive, motivating ideas that encourage interaction in the face of the enormous volume of existing supply.

1. Influencer and social commerce

2. Consumer privacy & data use

3. Omnichannel integration

AI-Agent as influencer

While I can’t judge intelligently about retailing, AI, etc., Market Dynamics is a prospective area, which may be considered part of Social Dynamics in Bayesian Space of Assessments (arxiv.org/abs/2406.08432, researchgate.net/publication/379874316). A theory developed in the above references could serve to create analytical models, which may well be useful to interpret fluctuations in particular market areas similar to explaining some political oscillations in researchgate.net/publication/387744796 and arxiv.org/abs/2502.18172, as well as to design numerical models capable of improving some market forecasts (e.g., of various demands) in a way similar to weather forecasts.

While current research identifies broad themes like AI and sustainability, critical gaps remain in their practical application and ethical implications. Key areas for further inquiry include:

1. AI Implementation & Trust: Moving beyond capabilities to solve the "black box" problem making AI decisions transparent and building consumer trust in algorithmic recommendations.

2. Sustainable Business Models: Researching the profitable operationalization of circular economy principles (e.g., rental, resale) and effective communication strategies that avoid both greenwashing and "greenhushing."

3. Omnichannel Metrics: Developing new methodologies to measure customer journeys across fragmented touchpoints and redefine the economic role of the physical store in an digital-first ecosystem.

4. Ethical Algorithmics: Establishing frameworks to audit and mitigate bias in marketing algorithms and defining the ethical boundaries of hyper-personalization and neuromarketing.

The most pressing need is for research that provides actionable frameworks to navigate the tensions between technological possibility, ethical practice, and profitability.

1. Digital Transformation and Omnichannel Retailing

• How consumers integrate online and offline shopping in decision-making.
• The effectiveness of omnichannel strategies (e.g., click-and-collect, live commerce, AR/VR shopping).
• Measurement of cross-channel synergies and attribution of sales to digital vs. physical touchpoints.

2. Consumer Behavior in the Digital Age

• The impact of short-form content (TikTok, Reels) on brand loyalty and purchase intent.
• Psychological effects of personalization vs. consumer privacy concerns.
• Role of social commerce (peer influence, influencers, user-generated content).
• Post-pandemic shifts in consumer expectations (e.g., convenience vs. experiential retailing).

3. Artificial Intelligence and Data-Driven Marketing

• Consumer trust in AI-driven recommendations and chatbots.
• Ethical implications of algorithmic targeting, bias, and dark patterns.
• Effectiveness of predictive analytics in improving customer lifetime value.
• Balancing personalization with data protection laws (GDPR, CCPA).

4. Sustainability and Ethical Consumption

• How greenwashing affects consumer perceptions of sustainable brands.
• Trade-offs consumers make between price, convenience, and sustainability.
• Retailers’ role in promoting circular economy (resale, rental, repair services).
• Long-term effectiveness of sustainability certifications and eco-labels.

5. Retail Formats and Experiences

• The future of physical stores in an increasingly digital world.
• Role of experiential retailing in enhancing customer engagement.
• Small/local retailers vs. global e-commerce platforms—competitive dynamics.
• Hybrid work’s impact on retail location strategies (downtown vs. suburban stores).

6. Emerging Markets and Cultural Contexts

• Consumer behavior differences in Africa, Asia, and Latin America vs. Western markets.
• How informal markets adapt to digitalization.
• Trust, payment adoption, and logistics in developing economies.
• Localization of global retail brands in culturally diverse settings.

7. Behavioral Economics and Pricing

• How dynamic pricing and personalized pricing influence fairness perceptions.
• Subscription models vs. traditional pricing (e.g., Amazon Prime, retail memberships).
• Consumer decision-making under inflationary pressures.
• Psychology of discounts, scarcity, and limited-time offers in digital vs. physical retailing.

Is very good recommendation. I accept it.