THE ROLE OF DESIGN THINKING IN ARTIFICIAL INTELLIGENCE DISRUPTION: A SYSTEMATIC LITERATURE REVIEW

Siti Havidotinnisa; Firli Afini; Yadi Saryadi; Imas Mufti

doi:10.61397/mfc.v2i2.323

Authors

Siti Havidotinnisa STIE Yasmi
Firli Afini STIE Yasmi
Yadi Saryadi STIE Yasmi
Imas Mufti STIE Yasmi

DOI:

https://doi.org/10.61397/mfc.v2i2.323

Keywords:

Artificial Intelligence, Design Thinking, digital transformation, innovation, HRM

Abstract

This research aims to explore the role of Artificial Intelligence (AI) and Design Thinking in supporting digital transformation in various sectors, with a focus on innovation, sustainability, and operational efficiency. The study also seeks to analyze the relevance of both approaches in business and academic contexts, particularly in creating creative and human-centered solutions in the era of technological disruption. To achieve these objectives, this study used a systematic literature review method, by analyzing ten accredited and indexed articles in reputable international journals. The results showed that AI acts as a disruptive technology that not only improves efficiency but also accelerates digital transformation. Studies such as the one by Di Vaio et al. (2020), which received 1015 citations, highlighted how AI supports the development of sustainable business models. Additionally, research by Verganti et al. (2020) identified that Design Thinking remains relevant as an adaptive innovation approach, especially in the face of challenges posed by AI. The integration between AI and Design Thinking is also reflected in the study of Pham et al. (2022), which shows how creative approaches can maximize the potential of advanced technologies such as big data. Overall, this study confirms that the combination of AI and Design Thinking offers a comprehensive solution to deal with the complexities of digital transformation across various sectors.

References

Aman, S., Supriyanto, S., & Putri, M. A. (2020). IMPLEMENTASI BMC DENGAN METODE DESIGN THINKING DALAM MENGHADAPI COVID-19 DI IKM PATI. JURNAL TEKNOLOGI DAN MANAJEMEN INDUSTRI, 1(2), Article 2.

Camaréna, S. (2020). Artificial intelligence in the design of the transitions to sustainable food systems. Journal of Cleaner Production, 271, 122574. https://doi.org/10.1016/j.jclepro.2020.122574

Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38–68. https://doi.org/10.1177/14707853211018428

Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314. https://doi.org/10.1016/j.jbusres.2020.08.019

Giuggioli, G., & Pellegrini, M. M. (2022). Artificial intelligence as an enabler for entrepreneurs: A systematic literature review and an agenda for future research. International Journal of Entrepreneurial Behavior & Research, 29(4), 816–837. https://doi.org/10.1108/IJEBR-05-2021-0426

Jaya, I. M. L. M. (2020). Metode Penelitian Kuantitatif dan Kualitatif: Teori, Penerapan, dan Riset Nyata. Anak Hebat Indonesia.

Mariani, M. M., Machado, I., & Nambisan, S. (2023). Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda. Journal of Business Research, 155, 113364. https://doi.org/10.1016/j.jbusres.2022.113364

Masrichah, S. (2023). Ancaman Dan Peluang Artificial Intelligence (AI). Khatulistiwa: Jurnal Pendidikan Dan Sosial Humaniora, 3(3), 83–101. https://doi.org/10.55606/khatulistiwa.v3i3.1860

Pande, M., & Bharathi, S. V. (2020). Theoretical foundations of design thinking – A constructivism learning approach to design thinking. Thinking Skills and Creativity, 36, 100637. https://doi.org/10.1016/j.tsc.2020.100637

Păvăloaia, V.-D., & Necula, S.-C. (2023). Artificial Intelligence as a Disruptive Technology—A Systematic Literature Review. Electronics, 12(5), Article 5. https://doi.org/10.3390/electronics12051102

Pham, C. T. A., Magistretti, S., & Dell’Era, C. (2022). The role of design thinking in Big Data innovations. Innovation, 24(2), 290–314. https://doi.org/10.1080/14479338.2021.1894942

Purwanza, S. W. (2022). METODOLOGI PENELITIAN KUANTITATIF, KUALITATIF DAN KOMBINASI. Cv. Media Sains Indonesia.

Rachmadana, S. L., Putra, S. A. A., & Difinubun, Y. (2022). Dampak Artificial Intelligence Terhadap Perkonomian. F A I R, 2(2).

Setiyani, L., Priatna, A., Maulana, A., & Tjandra, E. (2022). Implementasi Design Thinking dalam Inovasi Membangun Model Bisnis Usaha Furniture Hiasan Dinding. Journal of Information System Research (JOSH), 4(1), Article 1. https://doi.org/10.47065/josh.v4i1.2273

Si, S., & Chen, H. (2020). A literature review of disruptive innovation: What it is, how it works and where it goes. Journal of Engineering and Technology Management, 56, 101568. https://doi.org/10.1016/j.jengtecman.2020.101568

Verganti, R., Vendraminelli, L., & Iansiti, M. (2020). Innovation and Design in the Age of Artificial Intelligence. Journal of Product Innovation Management, 37(3), 212–227. https://doi.org/10.1111/jpim.12523

Wagner, G., Lukyanenko, R., & Paré, G. (2022). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209–226. https://doi.org/10.1177/02683962211048201

Zamani, E. D., Smyth, C., Gupta, S., & Dennehy, D. (2023). Artificial intelligence and big data analytics for supply chain resilience: A systematic literature review. Annals of Operations Research, 327(2), 605–632. https://doi.org/10.1007/s10479-022-04983-y