Rise of Artificial Intelligence in Business and Industry

References (94)

1. 1 Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement [DOI]
2. 2 Artificial intelligence: A modern approach [DOI]
3. 3 Procedures for Performing Systematic Reviews
4. 4 Artificial Intelligence in Service [DOI]
5. 5 Digital Innovation Management: Reinventing Innovation Management Research in a Digital World [DOI]
6. 6 Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making [DOI]
7. 7 Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda [DOI]
8. 8 Competing Perspectives on the Link between Strategic Information Technology Alignment and Organizational Agility: Insights from a Mediation Model1 [DOI]
9. 9 Organizational Decision-Making Structures in the Age of Artificial Intelligence [DOI]
10. 10 The Quest for Artificial Intelligence [DOI]
11. 11 Governing artificial intelligence: ethical, legal and technical opportunities and challenges [DOI]
12. 12 Connecting circular economy and industry 4.0 [DOI]
13. 13 Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns [DOI]
14. 14 Artificial Intelligence as a positive and negative factor in global risk [DOI]
15. 15 Hybrid-augmented intelligence: collaboration and cognition [DOI]
16. 16 Artificial neural networks in business: Two decades of research [DOI]
17. 17 Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation [DOI]
18. 18 Understanding the use of Virtual Reality in Marketing: A text mining-based review [DOI]
19. 19 Unlocking value from machines: business models and the industrial internet of things [DOI]
20. 20 Reputation and its risks.
21. 21 Using artificial intelligence to create value in insurance [DOI]
22. 22 Public relations and artificial intelligence: It’s not (just) about robots [DOI]
23. 23 A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks [DOI]
24. 24 Information Technology and Productivity in Developed and Developing Countries [DOI]
25. 25 Artificial Intelligence Adoption: AI-readiness at Firm-Level
26. 26 Partnering with AI: how organizations can win over skeptical managers [DOI]
27. 27 Game changing value from Artificial Intelligence: eight strategies [DOI]
28. 28 International Symposium on Distributed Computing and Artificial Intelligence [DOI]
29. 29 Challenges in the Deployment and Operation of Machine Learning in Practice [DOI]
30. 30 Home automation using IoT and a chatbot using natural language processing [DOI]
31. 31 Introduction to Artificial Intelligence [DOI]
32. 32 Big data based fraud risk management at Alibaba [DOI]
33. 33 Speech to text conversion for multilingual languages [DOI]
34. 34 Value-Driven Robotic Process Automation (RPA) [DOI]
35. 35 How does ownership influence business growth? A competitive dynamics perspective [DOI]
36. 36 Insights from a text mining survey on Expert Systems research from 2000 to 2016 [DOI]
37. 37 The Artificial Intelligence Application in the Management of Contemporary Organization: Theoretical Assumptions, Current Practices and Research Review [DOI]
38. 38 Work in the Age of Artificial Intelligence – Challenges and Potentials for the Design of New Forms of Human-Machine Interaction [DOI]
39. 39 The enticing promise of cognitive computing: high-value functional efficiencies and innovative enterprise capabilities [DOI]
40. 40 Evaluating the pronunciation component of text-to-speech systems for English: a performance comparison of different approaches [DOI]
41. 41 ERP implementation failures: a case study and analysis [DOI]
42. 42 A Framework for Artificial Knowledge Creation in Organizations
43. 43 Decision Modelling and Information Systems: The Information Value Chain [DOI]
44. 44 Artificial Intelligence versus Intelligence Engineering [DOI]
45. 45 How to Design an Autonomous Creature Based on Original Artificial Life Approaches [DOI]
46. 46 A Short Survey on Chatbot Technology: Failure in Raising the State of the Art [DOI]
47. 47 A Gentle Introduction to Artificial Intelligence [DOI]
48. 48 Big Data Research in Information Systems: Toward an Inclusive Research Agenda [DOI]
49. 49 Proceedings of the Annual Hawaii International Conference on System Sciences
50. 50 Finding the Unicorn: Predicting Early Stage Startup Success Through a Hybrid Intelligence Method [DOI]
51. 51 Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI [DOI]
52. 52 Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy [DOI]
53. 53 The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [DOI]
54. 54 Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance [DOI]
55. 55 ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD [DOI]
56. 56 Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects [DOI]
57. 57 Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * [DOI]
58. 58 Bias in data‐driven artificial intelligence systems—An introductory survey [DOI]
59. 59 Artificial intelligence in information systems research: A systematic literature review and research agenda [DOI]
60. 60 Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization [DOI]
61. 61 The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions [DOI]
62. 62 Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare [DOI]
63. 63 The Role of Artificial Intelligence and Data Network Effects for Creating User Value [DOI]
64. 64 ETHICS GUIDELINES FOR TRUSTWORTHY AI
65. 65 The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty [DOI]
66. 66 The strategic impacts of Intelligent Automation for knowledge and service work: An interdisciplinary review [DOI]
67. 67 Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets [DOI]
68. 68 The dark side of AI-powered service interactions: exploring the process of co-destruction from the customer perspective [DOI]
69. 69 Strengthening legal protection against discrimination by algorithms and artificial intelligence [DOI]
70. 70 Complexity and Information Systems Research in the Emerging Digital World [DOI]
71. 71 Understanding the interplay of artificial intelligence and strategic management: four decades of research in review [DOI]
72. 72 Generalization in Deep Learning [DOI]
73. 73 Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation [DOI]
74. 74 Handbook of Digital Innovation [DOI]
75. 75 Re-thinking the Competitive Landscape of Artificial Intelligence [DOI]
76. 76 Business value appropriation roadmap for artificial intelligence [DOI]
77. 77 Sustainable Business Models and Artificial Intelligence: Opportunities and Challenges [DOI]
78. 78 Truth or Dare? – How can we Influence the Adoption of Artificial Intelligence in Municipalities? [DOI]
79. 79 ‘Where are the people? What are they doing? Why are they doing it?’(Mindell) Situating artificial intelligence within a socio-technical framework [DOI]
80. 80 A structured approach to implementing Robotic Process Automation in HR [DOI]
81. 81 Shall We Use It or Not? Explaining the Adoption of Artificial Intelligence for Car Manufacturing Purposes.
82. 82 Winning AI Strategy: Six-Steps to Create Value from Artificial Intelligence.
83. 83 Value Creation in Connectionist Artificial Intelligence – A Research Agenda
84. 84 Organizational Learning in the Rise of Machine Learning
85. 85 Managing Innovation Ecosystems to Create and Capture Value in ICT Industries [DOI]
86. 86 The Impact of Deep Learning on Organizational Agility
87. 87 The Functionalities of Cognitive Technology in Management Control System [DOI]
88. 88 Unlocking the Power of Artificial Intelligence for Your Business [DOI]
89. 89 Making AI Machines Work for Humans in FoW [DOI]
90. 90 Reimagining the Strategic Management of Artificial Intelligence: Five Recommendations for Business leaders.
91. 91 Innovative Technologies for Market Leadership [DOI]
92. 92 Structuring AI Resources to Build an AI Capability: a Conceptual Framework.
93. 93 Panel 4: A Nordic Sociotechnical Perspective on Artificial Intelligence Phenomena
94. 94 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) [DOI]

Cited by 235

Showing 87 of 235 known citations — external sources report more than can currently be individually listed.

Related research

• Expectations and Realities: The Views and Experiences of HIV/AIDS Patients on Ghana’s National Health Insurance Scheme — shares topic coverage
• Availability and Readiness of Antenatal Care in the Primary Healthcare Setting in Ogoniland — shares topic coverage
• Satisfaction with Quality of Health Care among Teaching Hospitals in Kathmandu, Nepal — shares topic coverage
• Medical Tourism, Public Health and Economic Development in Nigeria: Issues and Prospects — shares topic coverage
• A Preliminary Review of Diversity in the Healthcare Workplace — shares topic coverage