Learning from artificial intelligence researchers about international business implications DOI Creative Commons
Vanessa Ratten, Rakibul Hasan, Deepak Kumar

и другие.

Thunderbird International Business Review, Год журнала: 2024, Номер 66(2), С. 211 - 219

Опубликована: Фев. 22, 2024

Abstract Artificial intelligence is a dynamic and emerging form of technological innovation that has numerous ramifications for international business managers. The aim this article to obtain commentary from researchers about the role artificial will play in global arena. This includes asking questions how it affect internationalization processes whether lead more collaboration. Well‐known provide advice on what managers should do terms staying competitive but also they can integrate learning into their operations. Lastly, suggestions future research regarding interplay between are provided.

Язык: Английский

Space tourism: Value-attitude-behavior theory, artificial intelligence, and sustainability DOI
Myung Ja Kim, C. Michael Hall, Ohbyung Kwon

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 77, С. 103654 - 103654

Опубликована: Дек. 7, 2023

Язык: Английский

Процитировано

27

Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns DOI

Abdullah M. Baabdullah

Technological Forecasting and Social Change, Год журнала: 2023, Номер 198, С. 122951 - 122951

Опубликована: Окт. 31, 2023

Язык: Английский

Процитировано

24

Comparing the Ideation Quality of Humans With Generative Artificial Intelligence DOI Creative Commons
Jan Joosten, Volker Bilgram, Alexander Hahn

и другие.

IEEE Engineering Management Review, Год журнала: 2024, Номер 52(2), С. 153 - 164

Опубликована: Янв. 12, 2024

Traditionally, ideating new product innovations is primarily the responsibility of marketers, engineers, and designers. However, a rapidly growing interest lies in leveraging generative artificial intelligence (AI) to brainstorm service ideas. This study conducts comparative analysis ideas generated by human professionals an AI system. The results blind expert evaluation show that AI-generated score significantly higher novelty customer benefit, while their feasibility scores are similar those Overall, comprise majority top-performing ideas, human-generated scored lower than expected. executive's emotional cognitive reactions were measured during check for potential biases showed no differences between idea groups. These findings suggest that, under certain circumstances, companies can benefit from integrating into traditional idea-generation processes.

Язык: Английский

Процитировано

16

Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support DOI
Shaofeng Wang, Hao Zhang

Technology in Society, Год журнала: 2024, Номер 79, С. 102744 - 102744

Опубликована: Окт. 31, 2024

Язык: Английский

Процитировано

16

Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management DOI
Ali Nawaz Khan, Khalid Mehmood, Ahsan Ali

и другие.

Corporate Social Responsibility and Environmental Management, Год журнала: 2024, Номер 31(5), С. 4849 - 4861

Опубликована: Май 6, 2024

Abstract This study, which is anchored to Resource‐Based View (RBV) theory, explores the relationship between artificial intelligence (AI), process optimization, organizational flexibility, and sustainability performance in settings. Leveraging RBV framework's focus on internal resources as sources of competitive advantage, this research seeks clarify how AI adoption, flexibility foster sustainable growth. SPSS PROCESS Macro was used analyze data from 288 organizations. The findings derived empirical data, study verify positive relationships optimization well performance, revealing strategic nature a resource improve operational effectiveness environmental responsibility. Further, our results indicate mediating role moderating effect determining link outcomes. Moreover, confirmed indirect effects via under boundary conditions flexibility. These add developing literature practices provide practical suggestions that might be useful for practitioners aiming at using driven by capabilities deliver performance.

Язык: Английский

Процитировано

14

A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence DOI Creative Commons
Md Mehedi Hasan Emon, Tahsina Khan

Review of Business and Economics Studies, Год журнала: 2025, Номер 12(4), С. 6 - 28

Опубликована: Фев. 11, 2025

The purpose of the study is to explore Artificial intelligence (AI) integration into sustainable marketing techniques highlights a transformational potential, combining modern technology with urgent needs sustainability. This article thoroughly examines how AI plays crucial role in improving by enabling more efficient and socially responsible tactics that support sustainability goals. Method: AI-driven insights analytics enhance decision-making processes, improve customer engagement, increase impact campaigns on environmental social outcomes reviewing existing literature practices. conversation delves difficulties moral aspects involved using marketing, such as issues related data privacy, algorithmic bias, importance strategic framework focuses development Results: investigation shows promising yet intricate environment, where seen tool for balancing economic goals need responsibility. research stresses continuous research, multidisciplinary teamwork, policy creation maximize shaping practices intelligence. provides valuable contributions scholarly discussion around artificial intelligence, while also offering practical guidance professionals operating this dynamic commercial sector.

Язык: Английский

Процитировано

2

Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data DOI
Mashoukur Rahaman, Jane Southworth,

Amobichukwu Chukwudi Amanambu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124323 - 124323

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

1

Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality DOI
Yunfeng Shang,

Qin Yang,

Yuanjie Pu

и другие.

Resources Policy, Год журнала: 2023, Номер 88, С. 104510 - 104510

Опубликована: Дек. 6, 2023

Язык: Английский

Процитировано

22

Literature review in the generative AI era - how to make a compelling contribution DOI
Shan L. Pan, Rohit Nishant, Tuure Tuunanen

и другие.

The Journal of Strategic Information Systems, Год журнала: 2023, Номер 32(3), С. 101788 - 101788

Опубликована: Авг. 3, 2023

Язык: Английский

Процитировано

18

Impact of artificial intelligence (AI) chatbot characteristics on customer experience and customer satisfaction DOI
Yunho Park, Jaehun Kim, Qi Jiang

и другие.

Journal of Global Scholars of Marketing Science, Год журнала: 2024, Номер 34(3), С. 439 - 457

Опубликована: Июнь 14, 2024

Язык: Английский

Процитировано

8