Posted by: Laura Muñoz

Marketing Management Journal Call for Papers

Special Issue: Marketing Strategy in the Age of Influence: Mechanisms, Market Structures, and Value Creation. Spring 2027 Issue

Guest Editor: Dr. Antoinette J. Okono, Houston Christian University

Email: aokono@hc.edu

Over the past decade, influencer marketing has evolved from a peripheral digital tactic into a central organizing mechanism of contemporary marketing strategy. Firms are relying on creators, experts, and digital personalities to shape brand meaning, accelerate product discovery, and influence consumer decisions. A growing body of research has documented the communication mechanisms that drive these effects, parasocial interaction, source credibility, and relational trust, helping to establish influencer marketing as a legitimate domain within advertising and marketing scholarship (De Veirman, Cauberghe, & Hudders 2017; Lou & Yuan, 2019; Audrezet, De Kerviler, & Moulard, 2020; Ki, Cuevas, Chong, & Lim, 2020).

At the same time, the role of influence in the marketplace is undergoing rapid structural transformation. Creators now function not merely as endorsers but as market actors embedded within digital ecosystems involving brands, platforms, algorithms, and audiences. Platforms increasingly amplify or suppress content through algorithmic curation, further shaping perceptions of credibility and authority within these ecosystems (Cotter, 2019).

These shifts raise critical questions about how influence generates economic value and strategic advantage beyond traditional communication outcomes such as engagement and purchase intentions more recent studies emphasize parasocial bonds and authenticity (Djafarova & Rushworth, 2017; Audrezet et al., 2020); yet algorithmic amplification, creator professionalization, and hybrid commerce environments mean influence now redistributes credibility and narrative control, reshaping switching behavior, brand meaning, and competitive dynamics (Abidin, 2016; Duffy & Hund, 2015).

Intellectual Focus and Theoretical Tensions

Although influencer marketing has received considerable scholarly attention, much of the existing research remains fragmented across communication effects, endorsement studies, and social media engagement metrics. As a result, research frequently examines influencer phenomena at the level of individual campaigns rather than considering their broader implications for market structure and strategic competition. Thus, this special issue aims to advance a more integrated perspective by focusing on mechanism-level explanations of influence based on the following theoretical tensions.

First, as consumers increasingly rely on creators for information, traditional signals of brand credibility may weaken. When consumers see influencers as experts or authentic, credibility might shift from brands to individuals, potentially changing how trust is built and maintained in the market.

Second, parasocial relationships may function as relational switching mechanisms. Influencers can legitimize consumer shift between competing brands by reframing switching as identity evolution rather than disloyalty. Understanding when such relational cues overcome existing brand attachment remains an important theoretical question.

Third, algorithmic visibility structures may generate what can be described as endogenous credibility inflation, whereby creators appear authoritative not because of expertise but because of platform amplification. This raises questions about how consumers interpret engagement signals such as views, likes, and follower counts.

Finally, as firms increasingly depend on creators to access audiences, new forms of strategic dependence may emerge. Influencer partnerships can generate relational capital and cultural relevance, yet they may also reduce brand control over narrative framing and reputational risk.

MECHANISM FRAMEWORK

To guide submissions, we propose a general framework for examining influence as a market mechanism. Each layer builds on the prior, connecting communicative acts to cognitive processing, relational development, and ultimately strategic market outcomes.

• Signal Generation: Influencer communication produces signals related to authenticity, expertise, identity alignment, and social endorsement.
• Cognitive Interpretation: Consumers process these signals through mechanisms such as credibility attribution, identity alignment, and parasocial attachment.
• Relational Formation: Repeated exposure generates relational outcomes, including trust formation, switching legitimacy, and perceived brand relevance.
• Strategic Market Outcomes: These mechanisms shape broader outcomes, including brand equity formation, switching behavior, competitive positioning, ecosystem governance, and the distribution of market power.

METHODOLOGICAL EXPECTATIONS

Advancing research on influence as a strategic mechanism requires methodological approaches capable of capturing complex relational and ecosystem-level dynamics. Accordingly, this special issue encourages submissions employing diverse and rigorous research designs such as:

• Experimental designs (e.g., controlled experiments, A/B testing) to identify causal pathways linking influencer signals to consumer responses and behavioral outcomes.
• Survey-based and structural modeling approaches to examine relationships among constructs such as credibility, parasocial attachment, and switching behavior.
• Computational and social media analytics to analyze large-scale platform data, including patterns of engagement, diffusion, and algorithmic amplification.
• Qualitative and content-based approaches to uncover how influencer narratives shape meaning, identity, and brand perception.
• Longitudinal and panel data to examine how influence evolves over time, particularly in relation to trust formation, loyalty, and market

Submissions that connect multiple stages of the mechanism (e.g., signals to relational outcomes, or relational outcomes to market-level effects), or that integrate multiple methods, are especially encouraged.

TOPICS OF INTEREST

We welcome submissions that address theoretically grounded questions about how influence operates within contemporary markets. Relevant topics include, but are not limited to.

Signal Generation and Interpretation

• How do influencer signals (e.g., authenticity, expertise, identity alignment) shape credibility attribution and consumer judgment?
• How do consumers interpret engagement metrics and visibility cues in algorithmically curated environments?

Relational Formation and Consumer Response

• Through what cognitive processes do influencer signals (e.g., authenticity, expertise, identity alignment) shape credibility and decision-making?
• Under what conditions does perceived authenticity substitute for traditional indicators of product quality?
• How do consumers interpret engagement metrics and visibility cues in algorithmically curated environments?

Strategic Implications for Firms

• How do parasocial relationships translate into trust, loyalty, and brand switching behavior?
• How do influencer partnerships reshape brand control, narrative ownership, and reputational risk?
• When do such partnerships create strategic advantage versus dependence?
• How do firms balance authenticity, reach, and control in influencer strategy design?
• How does influence reshape competitive positioning within brand ecosystems?

Platform Dynamics, Governance, and Market Power

• How do algorithmic systems shape the distribution of visibility, credibility, and market power? How do algorithmic systems shape visibility, credibility, and perceived authority?
• How do platform governance structures influence creator–brand relationships and accountability?
• How does algorithmic visibility redistribute market power across creators, firms, and platforms?
• How do influencers accumulate and leverage power in ways that challenge firm-centric models of competition?

Measurement and Theory Development

• How should influence be measured beyond engagement metrics to capture relational and market-level effects?
• How can cross-platform influence and ecosystem spillovers be modeled?
• Are existing persuasion and parasocial theories sufficient to explain influencer-driven markets?
• Do current influencer typologies remain valid, or are new classification frameworks needed?

Influence has become a structural feature of contemporary digital markets, shaping how credibility, visibility, and relational authority are formed across creators, brands, and platforms. Understanding these dynamics requires a mechanism-based perspective that explains how signals are interpreted, relationships are built, and influence translates into strategic and market-level outcomes. This special issue seeks contributions that advance such explanations and clarify the role of influence in shaping competition and value creation.

Submissions will be accepted until December 15^th, 2027, on the Marketing Management Journal’s website:

References

Abidin, C. (2016). “Aren’t these just young, rich women doing vain things online?”: Influencer selfies as subversive frivolity.��Social media+ society,��2(2), 2056305116641342.

Audrezet, A., De Kerviler, G., & Moulard, J. G. (2020). Authenticity under threat: When social media influencers need to go beyond self-presentation.��JBR,��117, 557–569.

Banerjee, N., … & Bagherzadeh, R. (2025). Beyond the Facade: Exploring the Authenticity of Social Media Influencers and Its Influence on Consumer Brand Engagement and Advocacy.��Journal of Promotion Management,��31(7), 1114–1138.

Barari, M. M., Eisend, M., & Jain, S. P. (2025). A meta-analysis of the effectiveness of social media influencers: Mechanisms and moderation.��JAMS, 1-21.

Cotter, K. (2019). Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram.��New media & society,��21(4), 895-913.

De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude.��International Journal of Advertising,��36(5), 798-828.

Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities’ Instagram profiles in influencing the purchase decisions of young female users.��Computers in Human Behavior,��68, 1–7.

Duffy, B. E., & Hund, E. (2015). “Having it all” on social media: Entrepreneurial femininity and self-branding among fashion bloggers.��Social Media+ Society,��1(2), 2056305115604337.

Gu, X., Zhang, X., & Kannan, P. K. (2024). Influencer mix strategies in livestream commerce: Impact on product sales.��Journal of Marketing,��88(4), 64-83.

Ki, C. W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs.��Journal of Retailing and Consumer Services,��55, 102133.

Leung, F. F., Gu, F. F., & Palmatier, R. W. (2022). Online influencer marketing.��Journal of the Academy of Marketing Science,��50(2), 226-251.

Libai, B., Rosario, … & Zhang, L. (2025). Influencer marketing unlocked: Understanding the value chains driving the creator economy.��JAMS Science,��53(1), 4-28.

Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media.��J. Interactive Advert,��19(1), 58–73.

Mouritzen, S. L. T., Penttinen, V., & Pedersen, S. (2024). Virtual influencer marketing: the good, the bad and the unreal.��European Journal of Marketing,��58(2), 410-440.

Wisenthige, K., …, & Pathirana, U. (2024). Post Characteristics and Engagement in Sports Influencer Partnerships on Instagram.��Marketing Management Journal,��34(2), 34–47.

The post Marketing Strategy in the Age of Influence appeared first on ���������.

Posted by: Andrea Vocino

Dear Colleagues,

We invite submissions to a Special Issue of Psychology & Marketing����on the following theme:

Trust, Authenticity, and Consumer Agency in AI-Mediated Omnichannel and Phygital Experiences

Guest Editors:��Andrea Vocino (Deakin University) Marta Massi (Athabasca University) and Sandro Castaldo (Università Bocconi)

OVERVIEW

The proliferation of AI-driven technologies across omnichannel and phygital retail environments raises fundamental questions about how consumers experience, interpret, and respond to algorithmically mediated interactions. This Special Issue seeks theoretically grounded and empirically rigorous work that advances understanding of trust, authenticity, and consumer agency in these emerging contexts.

TOPICS OF INTEREST��include, but are not restricted to:

• Trust formation, calibration, repair, and withdrawal in AI-mediated consumer-brand interactions across channels and touchpoints.
• Consumer judgments of authenticity in AI-generated content, recommendations, service encounters, and brand communications.
• Trust transfer between human employees, algorithmic agents, platforms, and brands in omnichannel and phygital journeys.
• Consumer agency, autonomy, control, and reactance in algorithmically curated or automated marketing environments.
• Psychological and design cues (e.g., disclosure, explainability, transparency, anthropomorphism) that affect trust and authenticity perceptions.
• Comparative consumer responses to human, AI, and hybrid service provision in retail, hospitality, health, education, and luxury contexts.
• Mechanisms of resistance, acceptance, and adaptation to AI across different risk levels, involvement levels, and product categories.
• Cross-cultural, generational, and demographic differences in responses to AI-mediated marketing and phygital experiences.
• Measurement development and validation for trust, authenticity, agency, and related constructs in AI-enabled consumer settings.
• Conceptual integrations linking consumer psychology, service systems, and digital platform research in AI-mediated markets.

We welcome a range of theoretical perspectives and empirical methodologies, including experimental, survey-based, qualitative, computational, and mixed-methods approaches.

KEY INFORMATION

Submission Deadline: 31 January 2027 Journal: Psychology & Marketing��(Wiley) Full Call for Papers:

Submissions should follow the author guidelines of Psychology & Marketing��and be submitted directly through the journal’s ScholarOne portal, selecting the Special Issue designation at submission.

We encourage you to share this call with colleagues and doctoral students whose work intersects with consumer psychology, digital marketing, and AI. Enquiries may be directed to the guest editors.

With best wishes,

Andrea Vocino, Associate Professor of Marketing (Deakin University)
Marta Massi, Associate Professor (Athabasca University)
Sandro Castaldo, Professor of Marketing (Università Bocconi)

The post Trust, Authenticity and Consumer Agency appeared first on ���������.

Posted by: Richard Whitfield

The post Social Marketing and Sustainable Futures appeared first on ���������.

Posted by: James Ellis

AI in Aesthetic Design

��Journal of the Association for Consumer Research Call for Papers

AI in Aesthetic Design

Issue Editors: Barbara E. Kahn, Henrik Hagtvedt, and Martin Reimann

Design is one of the most powerful levers in marketing. The aesthetics of products and packages, a brand’s visual systems, advertising and social messaging, digital interfaces, and retail interiors shape perceptions and subsequently behavior. Specifically, aesthetic or design strategies can influence what consumers notice, how they interpret information, and what they buy. At the same time, generative AI—particularly text‑to‑image AI—is rapidly transforming how design happens in practice, as well as the aesthetics that result from this process. Today, marketers and consumers can quickly generate and refine large numbers of design alternatives by adjusting prompts and constraints such as style, brand guidelines, or reference images. This special issue invites diverse theoretical and empirical work on how generative AI is transforming the creation, circulation, and interpretation of design and aesthetics in consumer contexts.

For a list of submission ideas, related events and editor bios, please see the call for papers:

Editorial Timeline

• Pre-submission webinar: September 1, 2027
• ACR Pre-Conference Symposium: October 28-30, 2027, Anaheim, California
• Submission portal opens: November 1, 2027
• First submission deadline: January 1, 2028
• Final decisions: December 1, 2028
• Publication: April 2029

The post AI in Aesthetic Design appeared first on ���������.

Posted by: Amy Richmond

The post Well-Being in B2B Marketing appeared first on ���������.

Posted by: Nima Heirati

Call for Papers

The Psychology of Agentic AI: Autonomy, Identity, and Human–Agent Symbiosis

Submission Deadline: Friday, 31 July 2026

The rapid proliferation of artificial intelligence (AI) and service robots has prompted a profound response from premier marketing and service research scholars. While early academic discourse focused on AI adoption and efficiency, it has matured into a nuanced examination of psychological, emotional, and organizational consequences. Recent scholarship has largely centered on four themes: the psychological impact of human–technology interaction in a “feeling economy” (Huang and Rust, 2024); the unintended consequences of AI, such as dehumanization and well-being deterioration (de Freitas and Cohen, 2025; Heirati et al., 2025; Marriott and Pitardi, 2024); AI as an organizational engine for intelligent automation (Granulo et al. 2024); and, the ethical imperatives of safety and bias (Wirtz et al., 2023).

While existing themes define the current scholarly moment, there are critical gaps that constitute the next frontier of inquiry. Foremost among these is the rapid evolution from Generative AI to Agentic AI (Bornet et al., 2025). AI differs from other technological tools, exhibiting agency, acting autonomously, interacting with environment, and adapting its decisions without direct human intervention (Davenport and Bean, 2025; Wirtz and Stock-Homburg 2025). These agentic qualities alter how people perceive these technologies, make traditional adoption models insufficient, and make create new psychological consequences on consumers and frontline employees (Li et al., 2025). In particular, this technological shift necessitates research on Human–AI symbiosis that transcends the binary narrative of replacement versus augmentation and view agentic AI as an autonomous and adaptable actor capable of executing complex workflows and decision making. This perspective invites inquiry into new organizational forms where frontline employees collaborate as peers with agentic systems (Kunz, Sajtos and Flavián 2025) and act as “citizen developers” who train and refine them (Wirtz and Stock-Homburg 2025). Furthermore, it will address the paradigm shift of the “algorithmic customer,” where customers delegate search, negotiation, and purchasing to their own AI agents. Finally, the field requires a pivot from a defensive ethical stance focused on risk mitigation to a proactive agenda that leverages AI for societal and customer wellbeing, grounded in transparent governance and control across the AI agent life cycle.

In this special issue, we invite papers that advance theory on the psychological and marketing mechanisms through which Generative and Agentic AI reshape customer experiences, employee roles, and marketplace dynamics. We particularly welcome submissions that bridge foundational constructs in consumer psychology, such as autonomy, identity, trust, and cognitive appraisal, with emerging marketing phenomena driven by agentic AI. We invite authors to submit their conceptual, qualitative, and quantitative work, including lab and field experiments, longitudinal and archival analyses, digital trace and performance data, multimodal and conversational data, and ethnographic approaches. We particularly encourage multidisciplinary collaborations and research co developed with organizations that can provide access to real service operations, customer journeys, human and agent interaction logs, and implementation outcomes. Given the early stage of scholarship on Generative and Agentic AI in service contexts, this domain offers distinctive opportunities for novel theory building and high impact evidence.

Topics of interest for this call for papers include but are not restricted to:

• How does customer psychology change when AI tools transition from passive assistants (copilots) to proactive teammates that execute tasks autonomously?
• What’s the persuasive impact of hyper-personalized generated content (e.g., ads, sales emails, service scripts) that is dynamically created for a single customer in real-time? Does this create new forms of algorithmic vulnerability by eroding critical defenses?
• What is the optimal customer control (i.e., what customers can see, change, and override) to support trust without creating cognitive overload? How does repeated delegation affect customers’ self-efficacy and decision confidence over time?
• How do customers and employees respond to agents equipped with “large behavioral models” (LBMs) capable of sensing emotions and executing physical tasks with empathy?
• Individual Differences and Contextual Moderators: How do personality traits (e.g., need for cognition, technophobia), cultural background, age, or digital literacy moderate consumers’ responses to agentic AI?
• How must branding and persuasion theory adapt when the “buyer” is a rational, utility-maximizing agent rather than a human?
• How do humans manage their own AI agents? What personality, ethical, or brand preference parameters will they set?
• How does the role identity of frontline employees change when they are empowered to train and fine-tune service robots via no-code platforms?
• What are the cognitive and emotional demands on managers who must orchestrate cross-functional agentic teams rather than manage human subordinates? And how do these demands affect their sense of role identity, self-efficacy, and well-being?
• What are the new team structures, workflows, and management challenges for a hybrid Human–AI workforce? What new forms of technostress or role stress arise when your teammate or manager is an algorithm?
• Can agentic AI be designed to proactively nudge customers toward better financial, health, or sustainable choices, acting as a guardian rather than just a servant?
• How can service robots and AI be designed to reduce customer vulnerability? (e.g., as companions for the elderly, as financial literacy AI for low-income customers, as accessibility tools for customers with disabilities).

Guest Editors:

Dr. Valentina Pitardi��(Lead)
University of Surrey,
United Kingdom

Prof. Nima Heirati
Henley Business School,
United Kingdom

Dr. Jochen Wirtz
National University of Singapore,
Singapore

Prof. Chanaka Jayawardhena
University of Surrey,
United Kingdom

Keywords:

Agentic AI; Autonomy; Identity; Service Robots.

Submission Guidelines/Instructions:

Submissions for this special issue will begin from��30 March 2026. Please refer to the����to prepare your manuscript. When submitting your manuscript, please answer the question “Is this submission for a special issue?” by selecting the special issue title from the drop-down list.

References:

Bornet, P., Wirtz, J., Davenport, T.H., De Cremer, D., Evergreen, B., Fersht, P., Gohel, R., & Khiyara, S. (2025),��Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life, World Scientific, Hackensack, NJ: USA.

Davenport, Thomas H., and Randy Bean (2025), “Five Trends in AI and Data Science for 2025,” Sloan Management Review, published online, January 8. (available at:��).

De Freitas, J., & Cohen, I. G. (2025). Unregulated emotional risks of AI wellness apps.��Nature Machine Intelligence, 1–3.

Granulo, A., Caprioli, S., Fuchs, C.,& Puntoni, S. (2024). Deployment of algorithms in management tasks reduces prosocial motivation.��Computers in Human Behavior, 152, 108094.

Heirati, N., Pitardi, V., Wirtz, J., Jayawardhena, C., Kunz, W., v Paluch, S. (2025). Unintended consequences of service robots–Recent progress and future research directions.��Journal of Business Research, 194, 115366.

Huang, Ming-Hui, & Roland T. Rust (2024). The Caring Machine: Feeling AI for Customer Care.��Journal of Marketing, 88(5), 1–23.

Kunz, W. H., Sajtos, L., & Flavián, C. (2025). Beyond replacement: human-machine collaboration in the age of AI.��Journal of Service Management, 36(4), 477–494.

Li, B., Lai, E. Y., & Wang, X. (2025). From tools to agents: meta-analytic insights into human acceptance of AI.��Journal of Marketing. Forthcoming.

Marriott, H. R., & Pitardi, V. (2024). One is the loneliest number… Two can be as bad as one. The influence of AI Friendship Apps on users’ well‐being and addiction.��Psychology & Marketing, 41(1), 86–101.

Wirtz, J., Kunz, W.H., Hartley, N., & Tarbit, J. (2023). Corporate Digital Responsibility in Service Firms and their Ecosystems.��Journal of Service Research, 26(2), 173–190.

Wirtz, J., & Stock-Homburg, R. (2025). Generative AI meets service robots.��Journal of Service Research, 28(4), 527–543.

.

The post The Psychology of Agentic AI appeared first on ���������.

Posted by: Sandra Miranda de Oliveira

CALL FOR PAPERS

Special Issue on

Marketing Beyond Digital: Strategies, Technologies, and Consumer Engagement

International Journal of Marketing, Communication and New Media

Web of Science (WoS) | Journal Citation Reports (JCR)

GUEST EDITORS

Carolina Afonso, ISEG Research, ISEG Lisbon School of Economics & Management, Universidade de Lisboa, Lisbon, Portugal, ORCID: 0000-0002-8851-157, carolinaafonso@iseg.ulisboa.pt

Alexandre Duarte, ICNOVA/UNL, Lisbon, Portugal, ORCID: 0000-0002-2665-864X, alexandreduarte@fcsh.unl.pt

Diana Gavilan, Dept Marketing, Universidad Complutense de Madrid, Madrid, Spain, ORCID: 0000-0002-5293-779X, dgavilan@ucm.es

Margarida Custódio Santos, ESGHT_Universidade do Algarve, CinTurs, Faro, Portugal, ORCID: 0000-0003-3383-5699, mmsantos@ualg.pt

Sandra Miranda, ISEG Research, ISEG Lisbon School of Economics & Management, Universidade de Lisboa, Lisbon, Portugal, ORCID: 0000-0001-8947-8868, sandraoliveira@iseg.ulisboa.pt

How is marketing theory and practice being reshaped by artificial intelligence, platform ecosystems, and data-driven decision systems?

Marketing in the digital era has evolved beyond the integration of online channels to become a structurally transformed discipline embedded within intelligent, data-rich ecosystems. Digital transformation redefines how firms create, deliver, and capture value across interconnected platforms where algorithms, automation, and network effects increasingly determine competitive advantage (Verhoef et al., 2021; Jacobides et al., 2021).

Recent research highlights the strategic centrality of artificial intelligence and generative AI in marketing processes. AI-enabled systems support predictive analytics, dynamic personalization, automated content creation, and decision augmentation, fundamentally altering managerial capabilities and customer interaction models (Huang & Rust, 2024; Dwivedi et al., 2024). Generative AI, in particular, introduces new forms of algorithmic creativity, human–machine collaboration, and scalable personalization, while simultaneously raising critical concerns regarding transparency, bias, and governance (Davenport et al., 2020; Grewal et al., 2024).

From a theoretical perspective, Service-Dominant Logic frames digital markets as resource-integrating ecosystems where value is co-created among multiple actors (Vargo & Lusch, 2016). Consumer engagement research further emphasizes interactive, participatory, and community-based dynamics in digital environments (Hollebeek et al., 2019). Contemporary studies extend this perspective by examining AI-mediated engagement, social commerce, immersive experiences, and influencer-platform interdependencies (Dwivedi et al., 2024; Sheth & Parvatiyar, 2024).

The customer journey paradigm remains central to understanding how consumers navigate omnichannel ecosystems characterized by seamless transitions across digital touchpoints (Lemon & Verhoef, 2016). However, the increasing reliance on algorithmic infrastructures introduces institutional and ethical challenges. Data governance, digital trust, privacy regulation, and responsible AI implementation have become foundational concerns in marketing scholarship and practice (Martin & Murphy, 2017; Grewal et al., 2024).

Moreover, sustainability considerations are increasingly embedded within digital marketing strategies. Organizations face growing expectations to align technological innovation with environmental responsibility, stakeholder legitimacy, and long-term societal value (Hult et al., 2021; Sheth & Parvatiyar, 2024). The intersection of digitalization and sustainability opens new research avenues linking marketing strategy, stakeholder theory, and responsible innovation.

In this rapidly evolving context, advancing marketing scholarship requires theoretically rigorous and methodologically innovative contributions capable of explaining how organizations and consumers adapt within intelligent digital ecosystems.

Hence, the International Journal of Marketing, Communication and New Media invites original, previously unpublished, and complete manuscripts prepared according to the journal’s guidelines. Accepted languages include English, French, Portuguese, and Spanish.

Possible topics for this special issue include, but are not limited to:

• Artificial intelligence and generative AI in marketing strategy;
• Algorithmic decision-making and marketing automation;
• Omnichannel ecosystems and customer journey orchestration;
• Consumer engagement, value co-creation, and digital communities;
• Platform governance and digital business ecosystems;
• Influencer economies and social commerce dynamics;
• Data-driven marketing and advanced analytics;
• Personalization, privacy, trust, and AI ethics;
• Sustainable digital marketing and stakeholder value creation;
• Immersive technologies (AR/VR, metaverse) and experiential branding;
• Cross-cultural digital strategy and global platform competition;
• Methodological innovations in AI-enabled marketing research.

Both theoretical and empirical contributions are welcome, provided they offer significant and original advances to marketing, communication, and new media scholarship. All submissions will undergo a rigorous double-blind peer review process.

IMPORTANT DATES

Deadline for submission: May 30, 2026

Acceptance notification: July, 30, 2026

Publication: September 30, 2026

For registration, online submission, and further details, please visit the journal’s website:

REFERENCES

Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing.��Journal of the Academy of Marketing Science, 48(1), 24–42.

Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., et al. (2024). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges and research agenda.��International Journal of Information Management, 74, 102716.

Grewal, D., Noble, S. M., Roggeveen, A. L., & Nordfält, J. (2024). Retailing and digital engagement: Strategy, technology, and research directions.��Journal of Retailing, 100(1), 1–18.

Hollebeek, L. D., Srivastava, R. K., & Chen, T. (2019).��S-D logic–informed customer engagement.��Journal of the Academy of Marketing Science, 47(1), 161–185.

Huang, M.-H., & Rust, R. T. (2024). Artificial intelligence in marketing: Strategic implications and future research directions.��Journal of the Academy of Marketing Science, 52(1), 3–18.

Hult, G. T. M., Morgeson, F. V., & Zhang, Y. (2021). Marketing strategy and stakeholder theory.��Journal of the Academy of Marketing Science, 49(1), 1–10.

Jacobides, M. G., Cennamo, C., & Gawer, A. (2021). Towards a theory of ecosystems.��Strategic Management Journal, 42(5), 741–765.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey.��Journal of Marketing, 80(6), 69–96.

Martin, K., & Murphy, P. (2017). The role of data privacy in marketing.��Journal of the Academy of Marketing Science, 45(2), 135–155.

Sheth, J. N., & Parvatiyar, A. (2024). Sustainable marketing in the digital era.��Journal of Macromarketing, 44(1), 5–21.

Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension of service-dominant logic.��Journal of the Academy of Marketing Science, 44(1), 5–23.

Verhoef, P. C., Broekhuizen, T., Bart, Y., et al. (2021). Digital transformation: A multidisciplinary research agenda.��Journal of Business Research, 122, 889–901.

Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments.��Journal of Marketing, 80(6), 97–121.

The post Marketing Beyond Digital appeared first on ���������.

Posted by: Amy Richmond

The post Gender-Based Marketing Strategies appeared first on ���������.

Posted by: Richard Whitfield

The post ​Human and AI Driven Branding appeared first on ���������.

Posted by: Marianna Sigala

The post Immersive Technologies and Sensory Service Experiences appeared first on ���������.