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Italian Journal of Marketing is a peer-reviewed journal published by Springer Nature, covering Digital Marketing and Social Media, Consumer Behavior in Brand Consumption and Identification, Consumer Retail Behavior Studies.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Italian Journal of Marketing 12, 45–58 (2023).
Formats any DOI in Italian Journal of Marketing style. No sign-up. |
| Publishes research in | Digital Marketing and Social Media Consumer Behavior in Brand Consumption and Identification Consumer Retail Behavior Studies Customer Service Quality and Loyalty Environmental Sustainability in Business |
| ISSN | 2662-3323 |
| Citation impact (2-yr) | 2.17 |
| h-index | 20 |
| i10-index | 41 |
| Total citations | 1,764 |
| Article processing charge | $2,990 |
| Top institutions publishing here | University of Bari Aldo Moro |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Digital technologies are now imperative for markets and society, and digital transformation is becoming a key area of business innovation. However, digital transformation is complex, and firms still lack the abilities to fully grasp and exploit its opportunities. This study investigates how digital technologies are currently implemented by companies. In particular, since digital transformation…
Abstract We discuss the effects of COVID-19 on consumer behaviour and elaborate on the consequences of this disruption for marketing strategies and marketing policies. The crisis shows similarities with changes in consumer behaviour and the way marketing is carried out during economic downturns. However, it also displays characteristics which differ from downcycles, such as shifts…
Abstract The emergence of consumer-generated data and the growing availability of Machine Learning (ML) techniques are revolutionizing marketing practices. Marketers and researchers are far from having a thorough understanding of the broad range of opportunities ML applications offer in creating and maintaining a competitive business advantage. In this paper, we propose a taxonomy of ML…
Abstract Chatbots are technological tools equipped with artificial intelligence that allow companies to interact with their consumers. Through their computers or mobile devices, consumers can use this technology to search for information, make purchases or request after-sales services. This study aims to identify the role of attitude toward chatbots and privacy concern in the relationship…
