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For: Coombs C, Hislop D, Taneva SK, Barnard S. The strategic impacts of Intelligent Automation for knowledge and service work: An interdisciplinary review. The Journal of Strategic Information Systems 2020;29:101600. [DOI: 10.1016/j.jsis.2020.101600] [Cited by in Crossref: 11] [Cited by in F6Publishing: 1] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Martinek-jaguszewska K, Rogowski W. Development and Validation of the Business Process Automation Maturity Model: Results of the Delphi Study. Information Systems Management. [DOI: 10.1080/10580530.2022.2071506] [Reference Citation Analysis]
2 Collins C, Dennehy D, Conboy K, Mikalef P. Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management 2021;60:102383. [DOI: 10.1016/j.ijinfomgt.2021.102383] [Cited by in Crossref: 16] [Cited by in F6Publishing: 4] [Article Influence: 16.0] [Reference Citation Analysis]
3 Liao G, Tuan Linh Pham T, Huang H, Cheng T, Teng C. Real-world demotivation as a predictor of continued video game playing: A study on escapism, anxiety and lack of intrinsic motivation. Electronic Commerce Research and Applications 2022. [DOI: 10.1016/j.elerap.2022.101147] [Reference Citation Analysis]
4 Reddy RC, Bhattacharjee B, Mishra D, Mandal A. A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy. Inf Syst E-Bus Manage. [DOI: 10.1007/s10257-022-00550-x] [Reference Citation Analysis]
5 Sawyer S, Carmel E. The multi-dimensional space of the futures of work. ITP 2022;ahead-of-print. [DOI: 10.1108/itp-12-2020-0857] [Reference Citation Analysis]
6 Morton J, Amrollahi A, Wilson AD. Digital strategizing: An assessing review, definition, and research agenda. The Journal of Strategic Information Systems 2022. [DOI: 10.1016/j.jsis.2022.101720] [Reference Citation Analysis]
7 Chowdhury T, Oredo J. AI ethical biases: normative and information systems development conceptual framework. Journal of Decision Systems. [DOI: 10.1080/12460125.2022.2062849] [Reference Citation Analysis]
8 Hradecky D, Kennell J, Cai W, Davidson R. Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International Journal of Information Management 2022;65:102497. [DOI: 10.1016/j.ijinfomgt.2022.102497] [Reference Citation Analysis]
9 Frick NRJ, Mirbabaie M, Stieglitz S, Salomon J. Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. Journal of Decision Systems 2021;30:235-58. [DOI: 10.1080/12460125.2020.1870065] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
10 Weber M, Beutter M, Weking J, Böhm M, Krcmar H. AI Startup Business Models: Key Characteristics and Directions for Entrepreneurship Research. Bus Inf Syst Eng 2022;64:91-109. [DOI: 10.1007/s12599-021-00732-w] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Chowdhury S, Dey P, Joel-edgar S, Bhattacharya S, Rodriguez-espindola O, Abadie A, Truong L. Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review 2022. [DOI: 10.1016/j.hrmr.2022.100899] [Reference Citation Analysis]
12 Cybulski JL, Scheepers R. Data science in organizations: Conceptualizing its breakthroughs and blind spots. Journal of Information Technology 2021;36:154-75. [DOI: 10.1177/0268396220988539] [Reference Citation Analysis]
13 Artico F, Edge Iii AL, Langham K. The future of Artificial Intelligence for the BioTech Big Data landscape. Current Opinion in Biotechnology 2022;76:102714. [DOI: 10.1016/j.copbio.2022.102714] [Reference Citation Analysis]
14 Rivard S. The JSIS annual review issue: A case of swift institutionalization. The Journal of Strategic Information Systems 2022;31:101722. [DOI: 10.1016/j.jsis.2022.101722] [Reference Citation Analysis]
15 Getson C, Nejat G. Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19. Robotics 2021;10:106. [DOI: 10.3390/robotics10030106] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Engel C, Ebel P, Leimeister JM. Cognitive automation. Electron Markets. [DOI: 10.1007/s12525-021-00519-7] [Reference Citation Analysis]
17 Alfalih AA. Customer engagement design during the COVID 19 pandemic, mutual trust and intelligent automation: a conceptual perspective. J Innov Entrep 2022;11. [DOI: 10.1186/s13731-022-00222-7] [Reference Citation Analysis]
18 Faulconbridge J, Folke Henriksen L, Seabrooke L. How professional actions connect and protect. Journal of Professions and Organization 2021;8:214-27. [DOI: 10.1093/jpo/joab008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Esmaeilzadeh P, Mirzaei T, Dharanikota S. Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study. J Med Internet Res 2021;23:e25856. [PMID: 34842535 DOI: 10.2196/25856] [Reference Citation Analysis]
20 Sullivan YW, Fosso Wamba S. Moral Judgments in the Age of Artificial Intelligence. J Bus Ethics. [DOI: 10.1007/s10551-022-05053-w] [Reference Citation Analysis]
21 Coombs C. Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research. Int J Inf Manage 2020;55:102182. [PMID: 32836639 DOI: 10.1016/j.ijinfomgt.2020.102182] [Cited by in Crossref: 33] [Cited by in F6Publishing: 7] [Article Influence: 16.5] [Reference Citation Analysis]
22 Mikalef P, Conboy K, Krogstie J. Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach. Industrial Marketing Management 2021;98:80-92. [DOI: 10.1016/j.indmarman.2021.08.003] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Enholm IM, Papagiannidis E, Mikalef P, Krogstie J. Artificial Intelligence and Business Value: a Literature Review. Inf Syst Front. [DOI: 10.1007/s10796-021-10186-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
24 Young AG, Majchrzak A, Kane GC. Organizing workers and machine learning tools for a less oppressive workplace. International Journal of Information Management 2021;59:102353. [DOI: 10.1016/j.ijinfomgt.2021.102353] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
25 Ahi AA, Sinkovics N, Shildibekov Y, Sinkovics RR, Mehandjiev N. Advanced technologies and international business: A multidisciplinary analysis of the literature. International Business Review 2021. [DOI: 10.1016/j.ibusrev.2021.101967] [Reference Citation Analysis]
26 Mirbabaie M, Brünker F, Möllmann NRJ, Stieglitz S. The rise of artificial intelligence – understanding the AI identity threat at the workplace. Electron Markets. [DOI: 10.1007/s12525-021-00496-x] [Reference Citation Analysis]