TY - JOUR
T1 - Independence or interdependence: The role of artificial intelligence in corporate entry mode for overseas energy investments
AU - Liu, L
AU - Cao, M.
AU - Zheng, Jianwen
AU - Zhang, Z.
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/7
Y1 - 2024/7
N2 - Artificial intelligence (AI) technology has significantly transformed corporate behavior in the energy sector by enhancing the capacity and efficiency of information transmission and big data analysis. However, there is still a limited understanding of how AI influences new market entry mode strategies in overseas energy investments. Drawing on information processing theory, we propose that firms with advanced AI technology exhibit superior data processing capabilities, which can help energy companies mitigate the uncertainties associated with entering a foreign market and encourage them to choose a wholly-owned entry mode. We further hypothesize that the state ownership of firms, the political affinity between home and host countries, and the risk preferences of firm executives serve as moderating factors. Using a sample of Chinese-listed multinational firms in the energy sector from 2010 to 2021, our empirical results strongly support these predictions. These findings contribute to the emerging and crucial literature on the impact of AI technology on firms’ overseas investment behavior, particularly in the energy sector.
AB - Artificial intelligence (AI) technology has significantly transformed corporate behavior in the energy sector by enhancing the capacity and efficiency of information transmission and big data analysis. However, there is still a limited understanding of how AI influences new market entry mode strategies in overseas energy investments. Drawing on information processing theory, we propose that firms with advanced AI technology exhibit superior data processing capabilities, which can help energy companies mitigate the uncertainties associated with entering a foreign market and encourage them to choose a wholly-owned entry mode. We further hypothesize that the state ownership of firms, the political affinity between home and host countries, and the risk preferences of firm executives serve as moderating factors. Using a sample of Chinese-listed multinational firms in the energy sector from 2010 to 2021, our empirical results strongly support these predictions. These findings contribute to the emerging and crucial literature on the impact of AI technology on firms’ overseas investment behavior, particularly in the energy sector.
KW - Artificial intelligence
KW - Energy investments
KW - Entry mode
KW - Political affinity
KW - Risk preferences
KW - State ownership
UR - http://www.scopus.com/inward/record.url?scp=85199701825&partnerID=8YFLogxK
U2 - 10.1016/j.jik.2024.100518
DO - 10.1016/j.jik.2024.100518
M3 - Article
SN - 2530-7614
VL - 9
JO - Journal of Innovation and Knowledge
JF - Journal of Innovation and Knowledge
IS - 3
M1 - 100518
ER -