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Artificial Intelligence and Big Data in Sustainable Entrepreneurship

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  • Steve J. Bickley
  • Alison Macintyre
  • Benno Torgler

Abstract

The recent acceleration and ongoing development in Artificial Intelligence (AI) and its related (and/or enabling) digital technologies presents new challenges and considerable opportunity on which businesses and individuals may capitalise. In the era of BD – and with increasing societal value being placed on sustainable business to minimise or mitigate the impacts of climate change – customers and regulators alike are turning to organizations to tackle large and complex sustainable development goals. AI and BD can help interpret and monitor the environment, identify which problems need attention, design strategies, generate decisions, and action the tactics. A key challenge in sustainable entrepreneurship is a failure to integrate ‘systems thinking’ beyond a limited number of issues, rather than taking the time to understand the relationship between business processes, macro ecological processes, boundary conditions, and tipping points. The recent and substantial increase in data availability simultaneously advances the potential for AI and BD to enhance ecological sustainability through validation and testing of beliefs and hunches, offering empirical guidance to every stage involved in decision making, and comparing inputs against the outcomes – particularly in fast-changing and highly uncertain environments. To prepare, we must strategize by looking to and engaging with the market, our clients, and our customers for guidance. Only then can we then proceed to develop viable and sustainable business models and plans. To reap the rewards of progress in AI, BD, and related technologies, we need to find ways to race with the emerging technologies while also identifying ways to act in symbiosis with them. The demands of adapting to AI and BD are no different from the situation with past disruptive technologies such as the automobile, radio, and the Internet.

Suggested Citation

  • Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," CREMA Working Paper Series 2021-11, Center for Research in Economics, Management and the Arts (CREMA).
    • Handle: RePEc:cra:wpaper:2021-11
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    Cited by:

    1. Allal-Chérif, Oihab & Costa Climent, Juan & Ulrich Berenguer, Klaus Jurgen, 2023. "Born to be sustainable: How to combine strategic disruption, open innovation, and process digitization to create a sustainable business," Journal of Business Research, Elsevier, vol. 154(C).
    2. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
    3. Ying Wang & Daoliang Ye, 2024. "Enhancing Rural Revitalization in China through Digital Economic Transformation and Green Entrepreneurship," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    4. Steve J. Bickley & Benno Torgler, 2021. "Behavioural Economics, What Have we Missed? Exploring “Classical” Behavioural Economics Roots in AI, Cognitive Psychology, and Complexity Theory," CREMA Working Paper Series 2021-21, Center for Research in Economics, Management and the Arts (CREMA).
    5. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Safety in Smart, Livable Cities: Acknowledging the Human Factor," CREMA Working Paper Series 2021-17, Center for Research in Economics, Management and the Arts (CREMA).

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    Keywords

    Artificial Intelligence; Big Data; Entrepreneurship; Sustainability; Expert Systems;
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