Abstract
This chapter aims to shed light on the pivotal role played by artificial intelligence (AI) in supporting sustainable business models’ development.
To achieve this objective, the chapter starts by illustrating relevant previous studies about sustainable business models with a specific focus on the economic, social, and environmental (ESG) dimensions of sustainability and by briefly exploring the literature about AI and its potential impacts on business models.
Subsequently, the chapter deepens the investigation by developing specific subsections about the implications of adopting AI for each ESG dimension. Each subsection provides an explicative example illustrating how a multinational company (each located in a different country—the United States, Spain, Italy) has implemented AI techniques toward sustainability performance.
These examples provide an empirical view and yield insights about sustainable business models’ development, driving general implications for practitioners. The study also illustrates future research opportunities for academics about the link between sustainability and artificial intelligence.
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Notes
- 1.
See www.oed.com
- 2.
Company website: https://www.xcelenergy.com/
- 3.
Company website: https://www.telefonica.com/
- 4.
Company website: http://www.anyvision.co/
- 5.
Company website: https://www.generali.com/
- 6.
Company website: https://www.expertsystem.com/
References
Agalliu R, Di Leva C, Bollea E (2018) A Generali Italia il Premio Innovazione Smau. https://www.generali.it/272748/03-27_NS-Premio-Innovazione-SMAU.pdf. Accessed 29 May 2019
Alrazi B, De Villiers C, Van Staden CJ (2016) The environmental disclosures of the electricity generation industry: a global perspective. Account Bus Res 46(6):665–701
Baccala M, Curran C, Garrett D, Likens S, Rao A, Ruggles A, Shehab M (2018) 2018 AI predictions—8 insights to shape business strategy. https://doi.org/10.1007/s12193-015-0195-2
Bagnoli C, Massaro M, Dal Mas F, Demartini M (2018) Defining the concept of a business model: searching for a business model framework. Int J Knowl Syst Sci 9(3):48–64
Bassiliades N, Chalkiadakis G (2018) Artificial intelligence techniques for the smart grid. Adv Build Energy Res 12(1):1–2
Beltramello A, Haie-Fayle L, Pilat D (2013) Why new business models matter for green growth. OECD Publishing, Paris
Biloslavo R, Bagnoli C, Edgar D (2018) An eco-critical perspective on business models: the value triangle as an approach to closing the sustainability gap. J Clean Prod 174:746–762
Bocken NMP, Short S, Rana P, Evans S (2013) A value mapping tool for sustainable business modelling. Corp Gov 13(5):482–497
Bocken NMP, Short SW, Rana P, Evans S (2014) A literature and practice review to develop a sustainable business model archetypes. J Clean Prod 65:42–56
Bogataj D, Bogataj M, Hudoklin D (2017) Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model. Int J Prod Econ 193:51–62
Bonime-Blanc A (2018) AI and reputational risk: an ESG perspective. Ethical Boardroom Winter:116–118
Brynjolfsson E, Mcafee A (2017) The business of artificial intelligence: how AI fits into your data science team. Harv Bus Rev 2017:1–20
Bughin J, Hazan E, Ramaswamy S, Chui M, Allas T, Dahlström P et al (2017) Artificial intelligence: the next digital frontier? McKinsey Global Institute. https://doi.org/10.1016/S1353-4858(17)30039-9
Capstick S, Whitmarsh L, Poortinga W, Pidgeon N, Upham P (2015) International trends in public perceptions of climate change over the past quarter-century. WIREs Clim Chang 6:35–61
CBInsights (2018) 5 Ways the energy industry is using artificial intelligence. https://www.cbinsights.com/research/artificial-intelligence-energy-industry/. Accessed 6 May 2019
Chang YH, Wang SC (2013) Integration of evolutionary computing and equity valuation models to forecast stock values based on data mining. Asia Pac Manag Rev 18(1):63–78
Chrissos N (2018) Introducing AI-SAFE: a collaborative solution for worker safety. Cisco UK & Ireland Blog. January 23. https://gblogs.cisco.com/uki/introducing-ai-safe-a-collaborative-solution-for-worker-safety/. Accessed 17 May 2019
Davenport TH, Ronanki R (2018) Artificial intelligence for the real world: don’t start with moon shots. Harv Bus Rev 96(1):108–116
Dignum V (2016) Social and ethical impact of artificial intelligence. Delft University of Technology, Delft
Duan Y, Edwards JS, Dwivedi YK (2019) Artificial intelligence for decision making in the era of Big Data—evolution, challenges and research agenda. Int J Inf Manage 48:63–71. Elsevier
Elia JA, Baliban RC, Xiao X, Floudas CA (2011) Optimal energy supply network determination and life cycle analysis for hybrid coal, biomass, and natural gas to liquid (CBGTL) plants using carbon-based hydrogen production. Comput Chem Eng 35(8):1399–1430
Espinel V, Brynjolfsson E, Annunziata M, Brechbuhl H, Cao R, Crawford S et al (2015) Deep shift: technology tipping points and societal impact. World Economic Forum, Geneva
European Commission (2017) The 2030 Agenda for sustainable development and SDGs. http://ec.europa.eu. Accessed 26 Mar 2019
European Commission (2018) Commission staff working document impact assessment. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=SWD%3A2018%3A141%3AFIN. Accessed 26 Mar 2019
European Parliament and Council (2014) Directive 2014/95/EU of the European Parliament and of the Council of 22 october 2014 amending Directive 2013/34/EU as regards disclosure of non-financial and diversity information by certain large undertakings and groups. Off J Eur Union 2014:1–9
Falkner R (2016) The Paris agreement and the new logic of international climate politics. Int Aff 5:1107–1125
Ferràs-Hernández X (2018) The future of management in a world of electronic brains. J Manag Inq 27(2):260–263
Fleming A, Wise RM, Hansen H, Sams L (2017) The sustainable development goals: a case study. Mar Policy 86:94–103
Forbes (2019) Can AI help companies do the right thing? Forbes Insights. https://www.forbes.com/sites/insights-intelai/2019/03/27/why-ethical-ai-is-a-critical-differentiator/#19f4a16963ab. Accessed 17 May 2019
Geissdoerfer M, Vladimirova D, Evans S (2018) Sustainable business model innovation: a review. J Cleaner Prod 198:401–416. Elsevier
Global Reporting Initiative (2011) RG. Sustainability reporting guidelines
Grbac B, Lončarić D (2009) Ethics, social responsibility and business performance in a transition economy. EuroMed J Bus 4(2):143–158
Grewal D, Roggeveen AL, Nordfält J (2017) The future of retailing. J Retail 93(1):1–6
Gustavsson J, Cederberg C, Sonesson U (2011) Global food losses and food waste. Food and Agriculture Organization of the United Nations, Rome
Haass R, Dittmer P, Veigt M, Lütjen M (2015) Reducing food losses and carbon emission by using autonomous control—a simulation study of the intelligent container. Int J Prod Econ 164:400–408. Elsevier
Hengstler M, Enkel E, Duelli S (2016) Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices. Technol Forecast Soc Chang 105:105–120
Holden E, Linnerud K, Banister D (2014) Sustainable development: our common future revisited. Glob Environ Chang 26(1):130–139
Huang MH, Rust RT (2018) Artificial intelligence in service. J Serv Res 21(2):155–172
James SJ, James C (2010) The food cold-chain and climate change. Food Res Int 43(7):1944–1956
Jarrahi MH (2018) Artificial intelligence and the future of work: human-AI symbiosis in organizational decision making. Bus Horiz 61(4):577–586
Khakurel J, Penzenstadler B, Porras J, Knutas A, Zhang W (2018) The rise of artificial intelligence under the lens of sustainability. Technologies 6(4):100
KPMG (2018a) Trust in artificial intelligence. https://doi.org/10.1177/1064804618818592
KPMG (2018b) Rethinking the value chain. A study on AI, humanoids and robots. https://assets.kpmg.com/content/dam/kpmg/xx/pdf/2018/09/rethinking-the-value-chain.pdf
Kristianto Y, Gunasekaran A, Helo P (2017) Building the ‘triple R’ in global manufacturing. Int J Prod Econ 183:607–619
La Cava D (2018) Generali punta su intelligenza artificiale di Expert System per gestione processi aziendali. https://www.finanza.com/Finanza/Notizie_Italia/Italia/notizia/Generali_punta_su_intelligenza_artificiale_di_Expert_System_-485674. Accessed 29 May 2019
Liang D, Lu CC, Tsai CF, Shih GA (2016) Financial ratios and corporate governance indicators in bankruptcy prediction: a comprehensive study. Eur J Oper Res 252(2):561–572. Elsevier BV
Libert B, Beck M, Bonchek M (2017) AI in the boardroom: the next realm of corporate governance. MITSloan Management Review. October 19. https://sloanreview.mit.edu/article/ai-in-the-boardroom-the-next-realm-of-corporate-governance/. Accessed 17 May 2019
Lombardi R, Massaro M, Dumay J, Nappo F (2019) Entrepreneurial universities and strategy: the case of the University of Bari. Manage Dec. https://doi.org/10.1108/MD-06-2018-0690
Lüdeke-Freund F (2010) Towards a conceptual framework of business models for sustainability. In: Proceedings of the knowledge collaboration & learning for sustainable innovation, Conference, Delft, vol 49, pp 1–28
Makridakis S (2017) The forthcoming artificial intelligence (AI) revolution: its impact on society and firms. Futures 90:46–60
Manes-Rossi F, Tiron-Tudor A, Nicolò G, Zanellato G (2018) Ensuring more sustainable reporting in Europe using non-financial disclosure—De Facto and De Jure Evidence. Sustainability 10:1162. https://doi.org/10.3390/su10041162
Manyika J (2017) What’s now and next in analytics, AI and automation. San Francisco: McKinsey Global Institute. May
Manyika J, Sneader K (2018) AI, automation, and the future of work: ten things to solve for. McKinsey Global Institute. June. https://www.mckinsey.com/featured-insights/future-of-work/ai-automation-and-the-future-of-work-ten-things-to-solve-for. Accessed 17 May 2019
Marr B (2017) How telefonica is using IoT and big data to build smart cities. Forbes. May 19. https://www.forbes.com/sites/bernardmarr/2017/05/19/how-telefonica-is-using-iot-and-big-data-to-build-smart-cities/#5205bc347e60. Accessed 28 May 2019
Marr B (2018) The key definitions of artificial intelligence (AI) that explain its importance. Forbes. https://www.forbes.com/sites/bernardmarr/2018/02/14/the-key-definitions-of-artificial-intelligence-ai-that-explain-its-importance/#4f4220b4f5d8. Accessed 9 April 2019
Martinez-Torres R, Olmedilla M (2016) Identification of innovation solvers in open innovation communities using swarm intelligence. Technol Forecast Soc Chang 109:15–24
Marx B, Ahmed M-H (2014) Emerging trends in reporting: an analysis of integrated reporting practices by South African top 40 listed companies. J Econ Financ Sci 7(1):231–250
Massaro M, Dumay J, Bagnoli C (2018a) Transparency and the rhetorical use of citations to Robert Yin in case study research. Meditari Account Res 27(1):44–71. https://doi.org/10.1108/MEDAR-08-2017-0202
Massaro M, Dumay J, Garlatti A, Dal Mas F (2018b) Practitioners’ views on intellectual capital and sustainability: from a performance-based to a worth-based perspective. J Intellect Cap 19(2):367–386
Mendonça CMC, Andrade AMV (2018) Dynamic capabilities and their relations with elements of digital transformation in Portugal. J Inf Syst Eng Manage 3(3). https://doi.org/10.20897/jisem/2660
Miller S (2018) AI: augmentation, more so than automation. Asian Manag Insights 5(1):1–20
Nielsen C, Lund M, Montemari M, Paolone F, Massaro M, Dumay J (2018) Business models: a research overview. Routledge, New York
Osterwalder A, Pigneur Y (2010) Business model generation, 30. Wiley. https://doi.org/10.1523/JNEUROSCI.0307-10.2010
Panetta K (2018) Gartner top 10 strategic technology trends for 2019. https://www.gartner.com. Accessed 11 Mar 2019
Ransbotham S, Gerbert P, Reeves M, Kiron D, Spira M (2018) Artificial intelligence in business gets real. MIT Sloan Manag Rev. https://doi.org/10.1145/2063176.2063177
Rao AS, Verweij G, Cameron E (2017) Sizing the prize: what’s the real value of AI for your business and how can you capitalise? PwC. https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf
Rosenberg RS (2008) The social impact of intelligent artefacts. AI Soc 22(3):367–383
Russel S, Norvig P (2010) Artificial intelligence a modern approach, 3rd edn. Pearson. https://doi.org/10.1017/S0269888900007724
Salehi A, Ghazanfari M, Fathian M (2017) Data mining techniques for anti money laundering. Int J Appl Eng Res 12(20):10084–10094
Schiermeier Q (2016) And now for the energy forecast. Germany works to predict wind and solar power generation. Nature 535(14):212–213
Secundo G, Massaro M, Dumay J, Bagnoli C (2018) Intellectual capital management in the fourth stage of IC research: a critical case study in university settings. J Intellect Cap 19(1):157–177
Shailer G (2004) An introduction to corporate governance in Australia. Pearson Education, French Forest
Singh R, Fernandes M, Lim N, Ang E (2018) The case for artificial intelligence in combating money laundering and terrorist financing, Deloitte
Stanford University (2016) Artificial intelligence and life in 2030: one hundred year study on artificial intelligence. Stanford University. https://ai100.stanford.edu
Stephens N (2013) Addressing the boardroom gender gap. It is time to give more women the opportunities they deserve. Hum Resour Manag Int Dig 21(2):41–44
Strohmeier S, Piazza F (2015) Artificial intelligence techniques in human resource management—a conceptual exploration. In: Intelligent techniques in engineering management. Springer, Cham, pp 149–172
Sutherland S (2019) Why AI could correct the gender imbalance right up to the boardroom. EY Global Center for Board Matters. March 8. https://www.ey.com/en_gl/women-fast-forward/why-ai-could-correct-the-gender-imbalance-right-up-to-the-boardroom. Accessed 17 May 2019
Teece DJ (2010) Business models, business strategy and innovation. Long Range Plan 43(2–3):172–194
Telefónica (2018) AnyVision and Telefónica announce integration partnership. http://ingenieriadeseguridad.telefonica.com/news/2018/12/05/AnyVision-and-Telefónica-Announce-Integration-Partnership.html. Accessed 28 May 2019
United Nations (1987) Report of the world commission on environment and development
United Nations (2015a) SDG compass—the guide for business action on the SDGs. www.sdgcompass.org
United Nations (2015b) United Nations Summit on Sustainable Development 2015. https://sustainabledevelopment.un.org
Waughray D, Herweijer C, Leape JW (2018) Fourth industrial revolution for the earth. Harnessing artificial intelligence for the earth. PwC. https://www.pwc.com/gx/en/services/sustainability/publications/ai-for-the-earth.html
Wielgosz A (2018) How artificial intelligence can solve the issues surrounding gender equity. Medium. May 24. https://medium.com/@agnes.wielgosz/how-artificial-intelligence-can-solve-the-issues-surrounding-gender-equity-c97197839cde. Accessed 17 May 2019
Wingfield N (2017) As Amazon pushes forward with robots, workers find new roles. The New York Times. September 10. https://www.nytimes.com/2017/09/10/technology/amazon-robots-workers.html. Accessed 17 May 2019
You F, Tao L, Graziano DJ, Snyder SW (2012) Optimal design of sustainable cellulosic biofuel supply chains: multiobjective optimization coupled with life cycle assessment and input–output analysis. AICHE J 58(4):1157–1180
Zhao WW (2018) How to improve corporate social responsibility in the era of artificial intelligence? IOP Conf Ser Earth Environ Sci 186(6). https://doi.org/10.1088/1755-1315/186/6/012036
Zott C, Amit R, Massa L (2011) The business model: recent developments and future research. J Manag 37(4):1019–1042
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Toniolo, K., Masiero, E., Massaro, M., Bagnoli, C. (2020). Sustainable Business Models and Artificial Intelligence: Opportunities and Challenges. In: Matos, F., Vairinhos, V., Salavisa, I., Edvinsson, L., Massaro, M. (eds) Knowledge, People, and Digital Transformation. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-40390-4_8
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