Tackling the global challenges using data-driven innovations

被引：0

作者：

Akter, Shahriar ^{[1
]}

Sultana, Saida ^{[1
]}

Gunasekaran, Angappa ^{[2
]}

Bandara, Ruwan J. ^{[3
]}

Miah, Shah J. ^{[4
]}

机构：

[1] Univ Wollongong, Sch Business, Wollongong, NSW 2522, Australia

[2] Penn State Harrisburg, Sch Business Adm, Middletown, PA 17057 USA

[3] Univ Wollongong Dubai, Fac Business, Dubai Knowledge Pk, Dubai, U Arab Emirates

[4] Univ Newcastle, Newcastle Business Sch, Callaghan, NSW 2308, Australia

来源：

ANNALS OF OPERATIONS RESEARCH | 2024年 / 333卷 / 2-3期

关键词：

Data-driven innovation; Capabilities; Market orientation; Infrastructure orientation and talent orientation; BIG DATA ANALYTICS; DYNAMIC CAPABILITIES; MARKET ORIENTATION; HEALTH-CARE; SUSTAINABILITY; MANAGEMENT; PERFORMANCE; INDUSTRY; MODEL; MICROFOUNDATIONS;

D O I：

10.1007/s10479-024-05875-z

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

The data revolution transforms operations, innovation, and society through artificial intelligence and advanced analytics. Data-driven innovations (DDI) have the most potential to tackle global challenges, including poverty, healthcare, climate actions, disaster management, gender inequality, peace and justice and others. This paper identifies the sources of DDI capabilities to address various global challenges. The findings show three major foundations of DDI capabilities: market orientation, infrastructure orientation, and talent orientation. Theoretically, these findings highlight the role of dynamic DDI capabilities to sense, seize and transform global challenges. Practically, we present guidelines for developing DDI in an agile and efficient manner that is fair and inclusive.

引用

页码：517 / 532

页数：16

共 50 条

[1] Tackling the global challenges using data-driven innovations
Shahriar Akter
Saida Sultana
Angappa Gunasekaran
Ruwan J. Bandara
Shah J Miah
[J]. Annals of Operations Research, 2024, 333 : 517 - 532
[2] CODATA and global challenges in data-driven science
Rybkina, A.
Hodson, S.
Gvishiani, A.
Kabat, P.
Krasnoperov, R.
Samokhina, O.
Firsova, E.
[J]. RUSSIAN JOURNAL OF EARTH SCIENCES, 2018, 18 (04):
[3] Data-driven innovations in electronic markets
Dinter, Barbara
Kraemer, Jan
[J]. ELECTRONIC MARKETS, 2018, 28 (04) : 403 - 405
[4] Data-driven innovations in electronic markets
Barbara Dinter
Jan Krämer
[J]. Electronic Markets, 2018, 28 : 403 - 405
[5] Innovations in Chronic Care Delivery Using Data-Driven Clinical Pathways
Zhang, Yiye
Padman, Rema
[J]. AMERICAN JOURNAL OF MANAGED CARE, 2015, 21 (12): : E661 - +
[6] Training teachers in data-driven learning: Tackling the challenge
Lenko-Szymanska, Agnieszka
[J]. LANGUAGE LEARNING & TECHNOLOGY, 2017, 21 (03): : 217 - 241
[7] Challenges in data-driven site characterization
Phoon, Kok-Kwang
Ching, Jianye
Shuku, Takayuki
[J]. GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2022, 16 (01) : 114 - 126
[8] LEGAL CHALLENGES FOR DATA-DRIVEN SOCIETY
Duo, Liu
[J]. 2017 ITU KALEIDOSCOPE: CHALLENGES FOR A DATA-DRIVEN SOCIETY (ITU K), 2017,
[9] Data-driven challenges and opportunities in crystallography
Glynn, Calina
Rodriguez, Jose A.
[J]. EMERGING TOPICS IN LIFE SCIENCES, 2019, 3 (04) : 423 - 432
[10] Innovations in Urban Green and Blue Infrastructure: Tackling local and global challenges in cities
de Oliveira, Jose A. Puppim
Bellezoni, Rodrigo A.
Shih, Wan-yu
Bayulken, Bogachan
[J]. JOURNAL OF CLEANER PRODUCTION, 2022, 362

← 1 2 3 4 5 →