scholarly journals How artificial intelligence will change the future of marketing

2019 ◽  
Vol 48 (1) ◽  
pp. 24-42 ◽  
Author(s):  
Thomas Davenport ◽  
Abhijit Guha ◽  
Dhruv Grewal ◽  
Timna Bressgott
Keyword(s):  
Artificial Intelligence ◽  
Research Agenda ◽  
Marketing Strategies ◽  
Important Policy ◽  
The Future ◽  
Task Types ◽  
The Impact ◽  
Future Of Marketing

Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.

Framework kognitive Produktionsarbeit 4.0/Framework for Cognitive Production Work 4.0 – Conceptualization and Model Approach for the Production System of the Future within the Future Work Lab

2020 ◽  
Vol 110 (03) ◽  
pp. 108-112
Author(s):  
Simon Schumacher ◽  
Bastian Pokorni
Keyword(s):  
Artificial Intelligence ◽  
Production System ◽  
Research Agenda ◽  
Reference Model ◽  
Work Organisation ◽  
Research Topics ◽  
Interdisciplinary Project ◽  
The Future ◽  
Future Work ◽  
Model Approach

Das Future Work Lab ist ein Innovationslabor für Arbeit, Mensch und Technik am Standort Stuttgart mit Fokus auf Künstlicher Intelligenz (KI) und vernetzter Arbeitsorganisation. Ein zentraler Bestandteil ist das Framework kognitive Produktionsarbeit 4.0, das als Referenzmodell für das Themenfeld Produktionsarbeit 4.0 dienen soll. Ein entsprechendes Konzept wurde in einem interdisziplinären Projektteam entwickelt. In diesem Beitrag wird das Grobmodell vorgestellt und die weitere Forschungsagenda präsentiert.   The Future Work Lab is an innovation lab for work, people and technology in Stuttgart, Germany with a focus on artificial intelligence and interconnected work organisation. A key component consists of the framework for cognitive production work 4.0, which will serve as a reference model for the research topics. A corresponding concept was developed in an interdisciplinary project team. In this article the raw model is introduced and the further research agenda is presented.

Gamification in banking: a review, synthesis and setting research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shilpa Chauhan ◽  
Asif Akhtar ◽  
Ashish Gupta
Keyword(s):  
Research Agenda ◽  
Banking Sector ◽  
Banking Industry ◽  
Psychological Theory ◽  
Future Research ◽  
Content Type ◽  
Bank Management ◽  
Customer Behaviour ◽  
The Future ◽  
The Impact

Purpose The objective of this paper is to explore and extend the existing literature on the use of gamification in banking. Design/methodology/approach Gamification is a new concept, further its application in banking is in a nascent stage both from the perspective of research and application. To systematise the limited literature and to draw the future research prospects, studies are presented based on theories, characteristics, context and methodologies framework. Findings The synthesis of the literature on gamification opened to a spectrum of areas to determine the future of gamification in the banking industry. The study emphasises the use of social and psychological theory building in the banking industry. Further, the research on game elements is an underexplored area in the banking domain, while they have well exploited in other contexts. Banking context needs more literature evidence, empirically tested and validated research methods to understand the personality traits and customer behaviour arising from the use of gamification. Practical implications For bank management, this study lays the impact of gamification in this era of digital banking. With the right mix of hedonic and utilitarian elements, bank management shall be able to boost financial literacy, improve saving habits, simplify banking products and strengthen knowledge updates among bank employees. Understanding the key elements and present status of research on gamification and their impact on customer behaviour development is crucial for the bank in building strategic advantage. Originality/value This study on gamification applied explicitly to the banking sector. With no clear application of the elements and mechanics of technology used in gamification, this study presents past literature in a systematised manner and draws the future research agenda of gamification in banking services.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

scholarly journals COVID-19 and tourist mobility at destinations: a literature review and emerging research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alba Viana-Lora ◽  
Antoni Domènech ◽  
Aaron Gutiérrez
Keyword(s):  
Literature Review ◽  
Research Agenda ◽  
Empirical Studies ◽  
Future Research ◽  
Content Type ◽  
Future Research Agenda ◽  
The Future ◽  
Short And Long Term ◽  
The Impact

PurposeThis paper aims to review conceptual and empirical studies that analyse the impact of the pandemic on mobility and tourism behaviour at destinations in order to identify proposals, forecasts and recommendations to guide the future research agenda on the subject.Design/methodology/approachThis study used a systematic literature review to synthesise information from scientific articles published in journals indexed in the Web of Science database related to tourism mobility at destinations during the COVID-19 pandemic.FindingsThis article found that, according to the existing literature, the COVID-19 pandemic is acting as a catalyst for the sustainable transition of tourism. Although the findings reveal a lack of empirical research on the impact of the pandemic on tourism mobility at destinations, the article synthesizes the short- and long-term impacts of the pandemic and sets out the future research agenda on tourist mobility at destinations.Originality/valueTo the best of the authors' knowledge, this is the first systematic review of the impact of the pandemic on mobility and tourism behaviour at destinations that attempts to describe the emerging challenges and the agenda for future research.

Artificial Intelligence (AI) and the future of international trade

2020 ◽  
pp. 71-79
Author(s):  
O. Vikulova ◽  
D. Gornostaeva
Keyword(s):  
Artificial Intelligence ◽  
International Trade ◽  
Global Economy ◽  
Global Value Chains ◽  
Social Consequences ◽  
Value Chains ◽  
The Social ◽  
The Future ◽  
The Impact

Based on the latest foreign sources, the article examines the impact of Artifi cial Intelligence and related robotics and automatization on the global economy, international trade, global value chains, the motivation and activities of companies, especially TNCs, the activities of the WTO, as well as the social consequences of these processes.

What can we expect from the future? The impact of Artificial Intelligence on Society

2020 ◽  
Author(s):  
Manuel Au-Yong-Oliveira ◽  
Carlos Lopes ◽  
Francisco Soares ◽  
Goncalo Pinheiro ◽  
Pedro Guimaraes
Keyword(s):  
Artificial Intelligence ◽  
The Future ◽  
The Impact

scholarly journals The Impact of Artificial intelligence and Robotics on the Future Employment Opportunities

2020 ◽  
pp. 050-054
Author(s):  
Shaukat Kamran ◽  
Iqbal Farhat ◽  
Alam Talha Mahboob ◽  
Aujla Gagandeep Kaur ◽  
Devnath Liton ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Employment Opportunities ◽  
The Future ◽  
The Impact ◽  
And Robotics

scholarly journals Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

BJR|Open ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 20200037
Author(s):  
Abdulmajeed Bin Dahmash ◽  
Mohammed Alabdulkareem ◽  
Aljabriyah Alfutais ◽  
Ahmed M Kamel ◽  
Feras Alkholaiwi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Students ◽  
Negative Influence ◽  
Specialty Choice ◽  
Cross Sectional ◽  
First Choice ◽  
Multicenter Survey ◽  
The Future ◽  
Potential Impact ◽  
The Impact

Objective: To test medical students’ perceptions of the impact of artificial intelligence (AI) on radiology and the influence of these perceptions on their choice of radiology as a lifetime career. Methods: A cross-sectional multicenter survey of medical students in Saudi Arabia was conducted in April 2019. Results: Of the 476 respondents, 34 considered radiology their first specialty choice, 26 considered it their second choice, and 65 considered it their third choice. Only 31% believed that AI would replace radiologists in their lifetime, while 44.8% believed that AI would minimize the number of radiologists needed in the future. Approximately 50% believed they had a good understanding of AI; however, when knowledge of AI was tested using five questions, on average, only 22% of the questions were answered correctly. Among the respondents who ranked radiology as their first choice, 58.8% were anxious about the uncertain impact of AI on radiology. The number of respondents who ranked radiology as one of their top three choices increased by 14 when AI was not a consideration. Radiology conferences and the opinions of radiologists had the most influence on the respondents’ preferences for radiology. Conclusion: The worry that AI might displace radiologists in the future had a negative influence on medical students’ consideration of radiology as a career. Academic radiologists are encouraged to educate their students about AI and its potential impact when students are considering radiology as a lifetime career choice. Advances in knowledge: Rapid advances of AI in radiology will certainly impact the specialty, the concern of AI impact on radiology had negative influence in our participants and investing in AI education and is highly recommended.

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