Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda

Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.

[1]  Christoph Bartneck,et al.  Can we control it? Autonomous robots threaten human identity, uniqueness, safety, and resources , 2017, Int. J. Hum. Comput. Stud..

[2]  Enrique Frías-Martínez,et al.  Automated user modeling for personalized digital libraries , 2006, Int. J. Inf. Manag..

[3]  Yogesh Kumar Dwivedi,et al.  An empirical validation of a unified model of electronic government adoption (UMEGA) , 2017, Gov. Inf. Q..

[4]  Andrew Martyn Thornett,et al.  Computer decision support systems in general practice , 2001, Int. J. Inf. Manag..

[5]  Vidhyacharan Bhaskar,et al.  Big data analytics for disaster response and recovery through sentiment analysis , 2018, Int. J. Inf. Manag..

[6]  Shimi Naurin Ahmad,et al.  Analyzing electronic word of mouth: A social commerce construct , 2017, Int. J. Inf. Manag..

[7]  Hakima Mellah,et al.  Enhancing information source selection using a genetic algorithm and social tagging , 2017, Int. J. Inf. Manag..

[8]  John S. Edwards,et al.  An analysis of expert systems for business decision making at different levels and in different roles , 2000, Eur. J. Inf. Syst..

[9]  H. Simon,et al.  Making Management Decisions: the Role of Intuition and Emotion , 1987 .

[10]  Steven M. Miller,et al.  AI: Augmentation, more so than automation , 2018 .

[11]  A. M. Pejtersen.  Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour , 1984 .

[12]  Pamela McCorduck,et al.  Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence , 1979 .

[13]  Nigel Ford.  From information- to knowledge-management: the role of rule induction and neural net machine learning techniques in knowledge generation , 1989, J. Inf. Sci..

[14]  Francisco J. Cantu-Ortiz,et al.  Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience , 2014 .

[15]  Reyes Juárez-Ramírez,et al.  Evaluation module based on Bayesian networks to Intelligent Tutoring Systems , 2017, Int. J. Inf. Manag..

[16]  R. M. Lee,et al.  On information system semantics: Expert vs. decision support systems , 1985 .

[17]  I. Wormell.  Cognitive aspects in natural language and free-text searching , 1984 .

[18]  Fang-Yie Leu,et al.  Spatial analysis and data mining techniques for identifying risk factors of Out-of-Hospital Cardiac Arrest , 2017, Int. J. Inf. Manag..

[19]  Avi Goldfarb,et al.  Prediction Machines: The Simple Economics of Artificial Intelligence , 2018 .

[20]  Marek R. Ogiela,et al.  The automatic understanding approach to systems analysis and design , 2008, Int. J. Inf. Manag..

[21]  María Martínez-Rojas,et al.  Twitter as a tool for the management and analysis of emergency situations: A systematic literature review , 2018, Int. J. Inf. Manag..

[22]  John S. Edwards,et al.  Practical engineering of knowledge-based systems , 1988 .

[23]  Kamran Mahroof,et al.  A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse , 2019, Int. J. Inf. Manag..

[24]  Enrique Herrera-Viedma,et al.  A fuzzy linguistic model to evaluate the quality of Library 2.0 functionalities , 2013, Int. J. Inf. Manag..

[25]  John S. Edwards,et al.  Expert systems in management and administration - are they really different from Decision Support Systems? , 1992 .

[26]  Farhi Marir,et al.  Document management systems from current capabilities towards intelligent information retrieval: an overview , 1999 .

[27]  Satoshi Watanabe,et al.  Application of an expert system to blast furnace operation , 1989, Future Gener. Comput. Syst..

[28]  Adeline du Toit,et al.  Knowledge management and legal practice , 2006, Int. J. Inf. Manag..

[29]  Sabine Loudcher,et al.  Textual aggregation approaches in OLAP context: A survey , 2017, Int. J. Inf. Manag..

[30]  Athanasios V. Vasilakos,et al.  Big data: From beginning to future , 2016, Int. J. Inf. Manag..

[31]  P. Ingwersen.  Information technology—Which applications? , 1984 .

[32]  Arpan Kumar Kar,et al.  Bio inspired computing - A review of algorithms and scope of applications , 2016, Expert Syst. Appl..

[33]  Marek R. Ogiela,et al.  Cognitive systems for intelligent business information management in cognitive economy , 2014, Int. J. Inf. Manag..

[34]  Yogesh Kumar Dwivedi,et al.  Mapping IS failure factors on PRINCE2® stages: an application of Interpretive Ranking Process (IRP) , 2017 .

[35]  Gregor Papa,et al.  A case analysis of embryonic data mining success , 2015, Int. J. Inf. Manag..

[36]  Bart Baesens,et al.  Defining analytics maturity indicators: A survey approach , 2017, Int. J. Inf. Manag..

[37]  Young U. Ryu,et al.  A group recommendation system for online communities , 2010, Int. J. Inf. Manag..

[38]  Jorge Casillas,et al.  Assessing web sites quality: A systematic literature review by text and association rules mining , 2018, Int. J. Inf. Manag..

[39]  P. Ingwersen,et al.  Psychological aspects of information retrieval , 1984 .

[40]  Yanqing Duan,et al.  Supporting decision making process with "ideal" software agents - What do business executives want? , 2012, Expert Syst. Appl..

[41]  Yogesh Kumar Dwivedi,et al.  Elucidation of IS project success factors: an interpretive structural modelling approach , 2019, Ann. Oper. Res..

[42]  Sven Laumer,et al.  Research on information systems failures and successes: Status update and future directions , 2014, Information Systems Frontiers.

[43]  D. Nicholas,et al.  The end-user: An assessment and review of the literature , 1985 .

[44]  Andrew Nguyen,et al.  ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD , 2023, International Research Journal of Modernization in Engineering Technology and Science.

[45]  Dan Remenyi,et al.  Some aspects of ethics and research into the silicon brain , 1996 .

[46]  B. Bowonder,et al.  Creating and sustaining competitiveness: Information management strategies of Nippon Steel Corporation , 1992 .

[47]  J. Dugdale,et al.  A cooperative problem-solver for investment management , 1996 .

[48]  Gabriel Pestana,et al.  A framework for social well-being and skills management at the workplace , 2017, Int. J. Inf. Manag..

[49]  Mohammad Hossein Jarrahi,et al.  Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making , 2018, Business Horizons.

[50]  Ming-Te Lu,et al.  Assessing expert system applications: A case study , 1989 .

[51]  Petter Gottschalk,et al.  Information management for investigation and prevention of white-collar crime , 2011, Int. J. Inf. Manag..

[52]  Victor I. Chang,et al.  Towards knowledge modeling and manipulation technologies: A survey , 2016, Int. J. Inf. Manag..

[53]  Hsing-Chung Chen,et al.  CBR-based negotiation RBAC model for enhancing ubiquitous resources management , 2017, Int. J. Inf. Manag..

[54]  Ahmed A. El-Masry,et al.  Citizens as consumers: Profiling e-government services' users in Egypt via data mining techniques , 2013, Int. J. Inf. Manag..

[55]  Lai Lai Tung,et al.  Using group support systems for developing a knowledge-based explanation facility , 2000, Int. J. Inf. Manag..

[56]  Maris G. Martinsons.  Human resource management applications of knowledge-based systems , 1997 .

[57]  Wingyan Chung,et al.  BizPro: Extracting and categorizing business intelligence factors from textual news articles , 2014, Int. J. Inf. Manag..

[58]  Yi Liu,et al.  Unpacking knowledge management practices in China: do institution, national and organizational culture matter? , 2019, J. Knowl. Manag..

[59]  Zoran Kalinic,et al.  International Journal of Information Management , 2016 .

[60]  Loo Geok Pee,et al.  Social informatics of intelligent manufacturing ecosystems: A case study of KuteSmart , 2018, Int. J. Inf. Manag..

[61]  Yogesh Kumar Dwivedi,et al.  Information systems project failure – analysis of causal links using interpretive structural modelling , 2016 .

[62]  Paul R. Daugherty,et al.  Collaborative Intelligence: Humans and AI Are Joining Forces , 2018 .

[63]  Arpan Kumar Kar,et al.  Big data with cognitive computing: A review for the future , 2018, Int. J. Inf. Manag..

[64]  T. Seeger,et al.  Changes in the occupation and profession of information work: The impact of the new communication technologies , 1983 .

[65]  Tim Miller,et al.  Explanation in Artificial Intelligence: Insights from the Social Sciences , 2017, Artif. Intell..

[66]  Yuyang Zhao,et al.  High value information in engineering organisations , 2008, Int. J. Inf. Manag..

[67]  Yogesh Kumar Dwivedi,et al.  Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model , 2017, Information Systems Frontiers.

[68]  Young U. Ryu,et al.  Collaborative filtering with facial expressions for online video recommendation , 2016, Int. J. Inf. Manag..