Revisit: Artificial Intelligence and Robotics
Special issue of Journal of Business Research; Deadline 15 Jan 2020
Special Issue on Artificial Intelligence and Robotics
Michael Haenlein, Professor, ESCP Europe, Paris, France
Andreas Kaplan, Professor & Dean, ESCP Europe, Berlin, Germany
15th of January 2020
Artificial Intelligence (AI), defined as “a system’s ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan and Haenlein 2019, p. 17), is currently one of the most important topics in the minds of academics and managers alike. After several AI summers and winters, i.e. periods of high and low funding and interest in AI research, it appears that AI’s fall season has arrived (Haenlein and Kaplan 2019). This period of harvest and benefiting from past research has been made possible due to increased computational power, advances in statistical methods, as well as the sheer endless availability of (big) data (Sivarajah et al. 2017).
Especially coupled with robotics, humanity’s fourth industrial revolution is starting to enter all spheres of society and almost daily one can read new incredible stories in both popular and business press. AI via emotion-sensing facial recognition is able to read if a customer is happy, frustrated, or annoyed and Walmart already announced to apply this technology in their stores with the aim to increase customer satisfaction. So-called deepfakes enable literally anybody to create videos of people making them appear to say things they actually never said by superimposing existing pictures onto source videos, which creates a whole new dimension for fake news and malicious hoaxes. And while thought to be impossible a couple of years ago, robots now are able to ride bikes and Amazon just started to roll out its last-mile delivery robots developed to autonomously deliver parcels to its customers removing the need for vans in last-mile delivery zones.
AI will shake up the future of both the business world and society at large. New opportunities will arise and corresponding challenges will need to be dealt with (Kaplan and Haenlein 2020). New jobs will be created, others will be automated and disappear. Employees will need to be equipped with new skills (Sousa and Rocha 2019). Several ethical questions will have to be discussed and strongly analyzed. Regulation will be developed and implemented. Advances in AI might even lead to a new world order with China and the US emerge as leaders in this domain and further world regions, amongst them Europe, lag behind. These examples serve as illustration for the need of further high-quality research in all of these areas (and many more), which is the objective of this special issue’s call for papers.
Articles which fit into the scope of this special issue can deal with a broad variety of business and management areas ranging from Accounting, Entrepreneurship, Finance, Human Resources, Marketing, Operations and Technology Management, to Strategy and deal with the application of AI across a multitude of business sectors. In addition, manuscripts can be based on any type of research, be it, conceptual or empirical, disciplinary or interdisciplinary in nature. We explicitly encourage literature reviews, in-depth case studies, methodological papers, as well as methodological tutorials using software such as R or Python.
Subjects of interest for this special issue include, but are not limited to:
- Artificial intelligence and Big Data
- Artificial intelligence and Blockchain
- Artificial intelligence and Internet-of-Things (IoT)
- Artificial intelligence and Social Media
- Data protection and privacy issues related to AI
- Detailed, in-depth, and longitudinal case studies on how AI and robotics have been applied in actual business practices including implementation details and financially verifiable outcomes
- Environmental consequences and impact of AI on sustainability and societal subjects
- Impact of AI and robotics on specific sectors and industries such as creative and cultural industries, financial services, health, higher education, insurance, media, public administration, and alike
- International relations and new world order triggered by AI and robotics; impact of AI on global business, exchange, and trade relations
- Literature reviews and conceptual state-of-the art pieces on AI
- Management analytics in the age of AI and robotics
- New and innovative business models enabled by AI and robotics
- Methodologies empowered through advances in AI and robotics
- Tutorials illustrating on how to implement and realize particular AI techniques (e.g. how to implement deep learning in R or Python, using detailed code and walk-through examples)
Review and Submission Processes
The submission deadline is January 15th 2020. All papers will be screened by the guest editors (and desk rejected if not deemed suitable) before being sent to at least two reviewers. A maximum of two revision rounds will be applied and an up or down decision (reject or conditional accept) will be given after one round. Manuscripts must apply the general author guidelines such as style and paper length of the Journal of Business Research to be found here. Moreover, all papers must go through the journal’s online submission portal (Elsevier Editorial system). Authors are asked to select ‘Artificial Intelligence’ as the submission special issue with the portal’s special section staying open from September 15th 2019 through January 15th 2020.
Haenlein Michael and Andreas Kaplan (2019) A Brief History of AI: On the Past, Present and Future of Artificial Intelligence, California Management Review, 61(4), 5-14
Kaplan Andreas and Michael Haenlein (2019) Siri, Siri in my Hand, who is the Fairest in the Land? On the Interpretations, Illustrations and Implications of Artificial Intelligence, Business Horizons, 62(1), 15-25
Kaplan Andreas and Michael Haenlein (2020) Rulers of the world, unite! The challenges and opportunities of artificial intelligence, Business Horizons
Sivarajah Uthayasankar, Muhammad Mustafa Kamal, Zahir Irani, and Vishanth Weerakkody (2017) Critical Analysis of Big Data Challenges and Analytical Methods, Journal of Business Research, 70, 263-286
Sousa Maria José and Álvaro Rocha (2019) Skills for disruptive digital business, Journal of Business Research, 94, 257-263
About the Guest Editors
Michael Haenlein (firstname.lastname@example.org) is Professor of Marketing at ESCP Europe where he acts as the Scientific Director of the ESCP Europe Research Center on Big Data. Michael’s research interest and expertise deal with the subjects of Customer Relationship Management (CRM) and Social Media. In particular, he analyzes the relationship between social networks and customer profitability and more broadly the concepts of Social CRM, Word-of-Mouth (WoM) and Customer Social Value. More recently he has focused on Artificial Intelligence.
Andreas Kaplan (email@example.com) is Professor and Rector at ESCP Europe Business School. His research decrypts and analyzes the digital world, in particular the areas of artificial intelligence and social media. With several seminal articles and more than 20,000 citations on Google Scholar, Rector Kaplan has been counted among the top 50 business and management authors in the world. Furthermore, Professor Kaplan has teaching experience in top-tier schools such as Harvard, Sorbonne University, and Tsinghua.
The authoritative version of this call can be found at