دورية أكاديمية

Beyond text: Marketing strategy in a world turned upside down.

التفاصيل البيبلوغرافية
العنوان: Beyond text: Marketing strategy in a world turned upside down.
المؤلفون: Wang, Xin, Bendle, Neil, Pan, Yinjie
المصدر: Journal of the Academy of Marketing Science; Jul2024, Vol. 52 Issue 4, p939-954, 16p
مصطلحات موضوعية: MARKETING strategy, RESEARCH personnel, MACHINE learning, MARKETING executives, CONSUMERS, ADVICE
الشركة/الكيان: AMAZON Web Services Inc.
مستخلص: Analyzing unstructured text, e.g., online reviews and social media, has already made a major impact, yet a vast array of publicly available, unstructured non-text data houses latent insight into consumers and markets. This article focuses on three specific types of such data: image, video, and audio. Many researchers see the potential in analyzing these data sources, going beyond text, but remain unsure about how to gain insights. We review prior research, give practical methodological advice, highlight relevant marketing questions, and suggest avenues for future exploration. Critically, we spotlight the machine learning capabilities of major platforms like AWS, GCP, and Azure, and how they are equipped to handle such data. By evaluating the performance of these platforms in tasks relevant to marketing managers, we aim to guide researchers in optimizing their methodological choices. Our study has significant managerial implications by identifying actionable procedures where abundant data beyond text could be utilized. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Academy of Marketing Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:00920703
DOI:10.1007/s11747-023-01000-x