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INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Calls: Journals

Posted by: Songting Dong

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CALL FOR PAPERS

Special Issue

Emerging Frontiers in Marketing: Exploring the Potential of Novel Data and Methodologies

Full-length paper submission deadline: 30 June 2024 Anticipated publication date: February 2025

Guest Editors:

Dr. Songting Dong (songting.dong@unsw.edu.au) Associate Editor, Australasian Marketing Journal
Senior Lecturer in Marketing, UNSW Business School, UNSW Sydney, Australia

Dr. Li Xiao (lixiao@fudan.edu.cn)
Associate Professor of Marketing, School of Management, Fudan University, China

Dr. Junbum Kwon (junbum.kwon@unsw.edu.au)
Senior Lecturer in Marketing, UNSW Business School, UNSW Sydney, Australia

Themes:

In an era characterized by swift digital metamorphosis, the domain of marketing finds itself at a critical crossroads. A burgeoning wave of data types and inventive methodologies is revolutionizing our comprehension and interaction with consumers, thereby introducing intriguing prospects and unique challenges for researchers and practitioners. As these avant-garde techniques reshape the landscape, it becomes essential to scrutinize, adapt, and innovate our established marketing paradigms.

According to a recent report from GRIT (GreenBook, 2023), emerging research approaches such as agile research methods, text analytics, social media analytics, and mobile qualitative methods are witnessing robust growth. Consequently, there’s an increasing utilization of new data sources in marketing research, such as social media data, multimedia data, geolocation data, usage data from sensor/usage/telemetry or Internet of Things (IoT), and biometric response data from wearables (e.g., Galvanic Skin Response [GSR] and Heart Rate Variability [HRV]); techniques needed for processing, analysing, and predicting from these data sets, such as machine learning, deep learning, or artificial intelligence (AI) are gaining widespread acceptance at the same time. For example, recently developed generative AI tools (e.g., ChatGPT) has already generated huge interest, and started to be used in marketing research and practices (e.g., Burnap et al., 2023; Sohn et al., 2020).

Recent academic research has pushed the frontiers of marketing research towards these new data sources and methodologies (e.g., Cliquet, 2020; Gordon et al., 2019; Lu et al., 2022; Shei et al., 2022; Sung, Butcher, and Easton, 2021; Zhang, Thaichon, and Shao, 2023). Nevertheless, the understanding and efficient exploitation of these novel data and methodologies remain in their formative stages. This special issue seeks to explore the unique opportunities and challenges presented by these advancements with the goal of advancing marketing theory and practice.

We cordially invite submissions on topics that include, but are not limited to:

• Deciphering new forms of data in marketing research and their
• Utilizing emerging methodologies in marketing data
• Studies that demonstrate the application and benefits of novel data and methodologies in
• The role of new data and methodologies in enhancing customer experience and value

This special issue strives to serve as an academic platform for enlightening discussions on the potential of these emerging data sources and methodologies, thereby contributing to a richer understanding and delineating the future trajectory of marketing research and practice.

References:

Burnap, A., J. R. Hauser, and A. Timoshenko (2023), “Product Aesthetic Design: A Machine Learning Augmentation,” Marketing Science, Forthcoming.

Cliquet, G. (2020), Location-based Marketing: Geomarketing and Geolocation, John Wiley & Sons. GreenBook (2023), “2023 GRIT Insights Practice Report”, , accessed in July 2023.

Gordon, B., F. Zettelmeyer, N. Bhargava, and D. Chapsky (2019), “A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook,” Marketing Science, 38 (2), 193-225.

Lu, S., H. Kim, Y. Zhou, L. Xiao, and M. Ding (2022), “Audio and Visual Analytics in Marketing and Artificial Empathy,” Foundations and Trends in Marketing, 16 (4), 422-93.

Shei, R., I. Holder, A. Oumsang, B. Paris, and H. Paris (2022), “Wearable activity trackers–advanced technology or advanced marketing?,” European Journal of Applied Physiology, 122 (9), 1975-90.

Sohn, K., C. E. Sung, G. Koo, and O. Kwon (2020), “Artificial intelligence in the fashion industry: consumer responses to generative adversarial network (GAN) technology,” International Journal of Retail & Distribution Management, 49 (1), 61–80.

Sung, B., Butcher, L., & Easton, J. (2023). Elevating Food Perceptions Through Luxury Verbal Cues: An Eye-Tracking and Electrodermal Activity Experiment. Australasian Marketing Journal, 31(1), 25– 35.

Zhang, Y., Thaichon, P., & Shao, W. (2023). Neuroscientific Research Methods and Techniques in Consumer Research. Australasian Marketing Journal, 31(3), 211–227.

���������t the journal:

• Australasian Marketing Journal (AMJ) is the official journal of the Australian and New Zealand Marketing Academy (ANZMAC). It is a peer reviewed, academic journal for the dissemination of leading studies in marketing, for researchers, students, educators, scholars, and practitioners.
• Impact factor: 6.0; SJR score: 1.81; ranked A in the ABDC list.

How to submit your manuscript:

• Full-length journal papers for the Special Issue are to be submitted through the AMJ submission system and will undergo a similar review process as regularly submitted papers. Questions pertaining to the Special Issue should be sent to the Guest Editors. Papers must be formatted in accordance with the Australasian Marketing Journal style sheet.
• All papers will be double-blind refereed. Post-refereeing, the Guest Editors will propose a list of publishable papers for consideration by the Editors-in-Chief of the Australasian Marketing Journal – their agreement will be required prior to notifying Authors of final acceptance.

Links:

��Australasian Marketing Journal:

Australasian Marketing Journal – format of submissions:

AMJ Editorial Office

Liem Viet Ngo, Editor-in-Chief Email: liem.ngo@unsw.edu.au