Artificial intelligence (AI)-driven strategic business model innovations in small- and medium-sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses

被引:20
作者
Shaik, Aqueeb Sohail [1 ]
Alshibani, Safiya [2 ]
Jain, Girish [3 ]
Gupta, Bhumika [4 ]
Mehrotra, Ankit [5 ]
机构
[1] OP Jindal Univ, Jindal Global Business Sch, Sonipat, Haryana, India
[2] Princess Nourah Bint Abdulrahman Univ, Riyadh, Saudi Arabia
[3] Birla Inst Management Technol, Noida, India
[4] IMT, Paris, France
[5] Jaipuria Inst Management Lucknow, Lucknow, Uttar Pradesh, India
关键词
AI-driven business model innovation; green innovation capability; green technology innovation; strategic architecture & carbon neutral businesses; strategic intent; CRITICAL SUCCESS FACTORS; GREEN; ADOPTION; DETERMINANTS; CAPABILITIES; PERSPECTIVE; VALIDATION; MANAGEMENT; FIRMS;
D O I
10.1002/bse.3617
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the enhancement of technological and strategic enablers for carbon-neutral businesses (CNB) through artificial intelligence (AI)-driven business model innovation (AIDBMI). Drawing upon the insights gained from the literature review, the study employs structural equation modeling (partial least squares structural equation modeling [PLS-SEM]) as the methodology to examine the relationships between AIDBMI, technological enablers, strategic enablers, and the attainment of carbon neutrality. The sample size consists of 326 small- and medium-sized enterprises (SMEs) in the United States of America. The findings of this study affirm the significant positive relationships between AIDBMI and both technological and strategic enablers for CNB. The utilization of AI technologies proves to be instrumental in fostering the development and implementation of innovative business models that integrate sustainability practices and address environmental challenges. By leveraging AIDBMI, SMEs can harness technological advancements to adopt energy-efficient processes, embrace renewable energy solutions, and implement effective carbon reduction strategies. Moreover, the study highlights the critical role of strategic enablers in driving the transition towards carbon neutrality. The alignment of sustainability goals with organizational strategies, stakeholder collaboration, and employee engagement emerge as pivotal factors in enabling SMEs to effectively utilize AIDBMI and leverage technological advancements to achieve carbon neutrality. The implications of this study contribute to the existing literature by highlighting the importance of technological and strategic enablers in creating CNB. By integrating AIDBMI, organizations can drive sustainable transformations, optimize their operations, and align their resource management with sustainable practices. These insights provide valuable guidance for SMEs, policymakers, and researchers seeking to foster sustainable practices, promote carbon neutrality, and contribute to the advancement of a low-carbon economy.
引用
收藏
页码:2731 / 2751
页数:21
相关论文
共 168 条
  • [81] ESG performance and green innovation: An investigation based on quantile regression
    Long, Han
    Feng, Gen-Fu
    Gong, Qiang
    Chang, Chun-Ping
    [J]. BUSINESS STRATEGY AND THE ENVIRONMENT, 2023, 32 (07) : 5102 - 5118
  • [82] Efficiency evaluation of green technology innovation of China's strategic emerging industries: An empirical analysis based on Malmquist-data envelopment analysis index
    Luo, Qiaoling
    Miao, Chenglin
    Sun, Liyan
    Meng, Xiaona
    Duan, Mengmeng
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 238
  • [83] Venturing Abroad by Emerging Market Enterprises A Test of Dual Strategic Intents
    Luo, Yadong
    Zhao, Hongxin
    Wang, Yagang
    Xi, Youmin
    [J]. MANAGEMENT INTERNATIONAL REVIEW, 2011, 51 (04) : 433 - 459
  • [84] The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development
    Ma, Qiang
    Tariq, Muhammad
    Mahmood, Haider
    Khan, Zeeshan
    [J]. TECHNOLOGY IN SOCIETY, 2022, 68
  • [85] Network-facilitated green innovation capability development in micro-firms
    Mellett, Sinead
    Kelliher, Felicity
    Harrington, Denis
    [J]. JOURNAL OF SMALL BUSINESS AND ENTERPRISE DEVELOPMENT, 2018, 25 (06) : 1004 - 1024
  • [86] How does industrial intelligence affect carbon intensity in China? Empirical analysis based on Chinese provincial panel data
    Meng, Xiaona
    Xu, Shichun
    Zhang, Jingnan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 376
  • [87] Mezger Simon, 2011, Strategy & Leadership, V39, P19, DOI 10.1108/10878571111176592
  • [88] The greening of the European petroleum industry
    Midttun, Atle
    Khanieva, Marina
    Lia, Magne
    Wenner, Eivind
    [J]. ENERGY POLICY, 2022, 167
  • [89] A BROADER MISSION FOR R-AND-D
    MILLER, WL
    [J]. RESEARCH-TECHNOLOGY MANAGEMENT, 1995, 38 (06) : 24 - 36
  • [90] From open-loop energy revolutions to closed-loop transition: What drives carbon neutrality?
    Millot, Ariane
    Maizi, Nadia
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 172