TY - GEN
T1 - Achieving the Double Bottom Line with Artificial Intelligence by Addressing Inequity
T2 - 43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
AU - Jeong, Dahae
AU - Shin, Donghyuk
AU - Auh, Seigyoung
AU - Han, Sang Pil
N1 - Publisher Copyright:
© 2022 International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation". All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - Can companies use artificial intelligence to attain the Double Bottom Line (simultaneous pursuit of financial performance and social impact) by enhancing equity? Drawing on equity theory, we develop a conceptual model whereby perceived AI quality positively affects firm performance that is mediated by equity in the educational technology sector. Using observational data collected from a global AI-powered learning app, we find support for educational equity as a full mediator between perceived AI quality and firm performance. Moreover, we also find support for conditional indirect effects. The mediating role of educational equity is moderated by political, economic, socio-cultural, and technological factors. Our research contributes to the growing popularity of transforming a business model from a bottom line to a double bottom line approach. We discuss how our study extends the IS literature on the integration between artificial intelligence and equity and the managerial implications for an inclusive information system.
AB - Can companies use artificial intelligence to attain the Double Bottom Line (simultaneous pursuit of financial performance and social impact) by enhancing equity? Drawing on equity theory, we develop a conceptual model whereby perceived AI quality positively affects firm performance that is mediated by equity in the educational technology sector. Using observational data collected from a global AI-powered learning app, we find support for educational equity as a full mediator between perceived AI quality and firm performance. Moreover, we also find support for conditional indirect effects. The mediating role of educational equity is moderated by political, economic, socio-cultural, and technological factors. Our research contributes to the growing popularity of transforming a business model from a bottom line to a double bottom line approach. We discuss how our study extends the IS literature on the integration between artificial intelligence and equity and the managerial implications for an inclusive information system.
KW - (In)equity
KW - artificial intelligence
KW - double bottom line
KW - educational technology
KW - social impact
UR - http://www.scopus.com/inward/record.url?scp=85192557457&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192557457&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192557457
T3 - International Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"
BT - International Conference on Information Systems, ICIS 2022
PB - Association for Information Systems
Y2 - 9 December 2022 through 14 December 2022
ER -