create a website

Artificial intelligence in healthcare services: past, present and future research directions. (2024). Youssif, Fady Fayez ; Jasim, Mohamed K ; Elkhwesky, Zakaria ; Shah, Shabeena W.
In: Review of Managerial Science.
RePEc:spr:rvmgts:v:18:y:2024:i:3:d:10.1007_s11846-023-00699-w.

Full description at Econpapers || Download paper

Cited: 2

Citations received by this document

Cites: 178

References cited by this document

Cocites: 39

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. The allegory of tacit knowledge: a review & research agenda for entrepreneurship. (2025). Schepers, Jelle ; Vandekerkhof, Pieter ; Wuytens, Nils ; Voordeckers, Wim.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:19:y:2025:i:5:d:10.1007_s11846-024-00794-6.

    Full description at Econpapers || Download paper

  2. How privacy calculus builds user engagement through trust in AI medical consultation. (2025). Zheng, Jialiang ; Ye, Qiongwei ; Luo, Yumei ; Li, Suxin.
    In: Electronic Markets.
    RePEc:spr:elmark:v:35:y:2025:i:1:d:10.1007_s12525-025-00795-7.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Ahmed MN, Toor AS, O’Neil K, Friedland D (2017) Cognitive computing and the future of health care cognitive computing and the future of healthcare: the cognitive power of IBM Watson has the potential to transform global personalized medicine. IEEE Pulse 8(3):4–9. https://doi.org/10.1109/mpul.2017.2678098 .
    Paper not yet in RePEc: Add citation now
  2. Aliabadi M, Farhadian M, Darvishi E (2015) Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach. Int Arch Occup Environ Health 88(6):779–787. https://doi.org/10.1007/s00420-014-1004-z .
    Paper not yet in RePEc: Add citation now
  3. Amoon M, Altameem T, Altameem A (2020) Internet of things sensor assisted security and quality analysis for health care data sets using artificial intelligent based heuristic health management system. Measurement 161:107861. https://doi.org/10.1016/j.measurement.2020.107861 .
    Paper not yet in RePEc: Add citation now
  4. Asadi J, Tarokh F (2019) How the artificial intelligence is helping to cure: the analytic means of health in current pandemic world. Int J Mod Eng Technol, 1(1).
    Paper not yet in RePEc: Add citation now
  5. Ashta A, Herrmann H (2021) Artificial intelligence and fintech: an overview of opportunities and risks for banking, investments, and microfinance. Strategic Change 30(3):211–222. https://doi.org/10.1002/jsc.2404 .
    Paper not yet in RePEc: Add citation now
  6. Åström J, Reim W, Parida V (2022) Value creation and value capture for AI business model innovation: a three-phase process framework. RMS 16(7):2111–2133.

  7. Attaran M (2022) Blockchain technology in healthcare: Challenges and opportunities. Int J Healthc Manag 15(1):70–83. https://doi.org/10.1080/20479700.2020.1843887 .
    Paper not yet in RePEc: Add citation now
  8. Bajaj R, Sharma V (2018) Smart education with artificial intelligence based determination of learning styles. Procedia Comput Sci 132:834–842. https://doi.org/10.1016/j.procs.2018.05.095 .
    Paper not yet in RePEc: Add citation now
  9. Ballestar MT, Grau-Carles P, Sainz J (2019) Predicting customer quality in e-Commerce social networks: a machine learning approach. RMS 13(3):589–603. https://doi.org/10.1007/s11846-018-0316-x .

  10. Bartoletti I (2019) AI in healthcare: ethical and privacy challenges. Artif Intell Med 7–10. https://doi.org/10.1007/978-3-030-21642-9_2 .
    Paper not yet in RePEc: Add citation now
  11. Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G (2014) Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff 33(7):1123–1131. https://doi.org/10.1377/hlthaff.2014.0041 .
    Paper not yet in RePEc: Add citation now
  12. Bayram M, Springer S, Garvey CK, Özdemir V (2020) COVID-19 digital health innovation policy: a portal to alternative futures in the making. OMICS 24(8):460–469. https://doi.org/10.1089/omi.2020.0089 .
    Paper not yet in RePEc: Add citation now
  13. Benzidia S, Makaoui N, Bentahar O (2021) The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technol Forecast Soc Chang 165:120557.

  14. Bin KJ, Melo AA, Rocha D, De Almeida JG, Junior RPC, Maia V, De Faria FL, Pereira E, Battistella AJ, L. R., Ono SK (2021) The impact of artificial intelligence on waiting time for medical care in an urgent care service for COVID-19: single-center prospective study (preprint). https://doi.org/10.2196/preprints.29012 .
    Paper not yet in RePEc: Add citation now
  15. Bolandnazar E, Rohani A, Taki M (2020) Energy consumption forecasting in agriculture by artificial intelligence and mathematical models. Energy Sour Part A Recover Utilization Environ Eff 42(13):1618–1632. https://doi.org/10.1080/15567036.2019.1604872 .
    Paper not yet in RePEc: Add citation now
  16. Briganti G, Le Moine O (2020) Artificial intelligence in medicine: today and tomorrow. Front Med 7:27.
    Paper not yet in RePEc: Add citation now
  17. Burton RJ, Albur M, Eberl M, Cuff SM (2019) Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections. BMC Med Inf Decis Mak 19(1). https://doi.org/10.1186/s12911-019-0878-9 .
    Paper not yet in RePEc: Add citation now
  18. Callon M, Courtial JP, Laville F (1991) Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemsitry. Scientometrics 22:155–205.
    Paper not yet in RePEc: Add citation now
  19. Cao L (2021) Artificial intelligence in retail: applications and value creation logics. Int J Retail Distribution Manage 49(7):958–976. https://doi.org/10.1108/ijrdm-09-2020-0350 .
    Paper not yet in RePEc: Add citation now
  20. Cao M, Luo X, Luo XR, Dai X (2015) Automated negotiation for e-commerce decision making: a goal deliberated agent architecture for multi-strategy selection. Decis Support Syst 73:1–14. https://doi.org/10.1016/j.dss.2015.02.012 .
    Paper not yet in RePEc: Add citation now
  21. Castiglioni I, Rundo L, Codari M, Di Leo G, Salvatore C, Interlenghi M, …, Sardanelli F (2021) AI applications to medical images: from machine learning to deep learning. Physica Med 83:9–24.
    Paper not yet in RePEc: Add citation now
  22. Chassignol M, Khoroshavin A, Klimova A, Bilyatdinova A (2018) Artificial intelligence trends in education: a narrative overview. Procedia Comput Sci 136:16–24. https://doi.org/10.1016/j.procs.2018.08.233 .
    Paper not yet in RePEc: Add citation now
  23. Chen M, Decary M (2020) Artificial intelligence in healthcare: an essential guide for health leaders. Healthc Manage Forum 33(1):10–18. https://doi.org/10.1177/0840470419873123 .
    Paper not yet in RePEc: Add citation now
  24. Chen M, Liu Q, Huang S, Dang C (2020) Environmental cost control system of manufacturing enterprises using artificial intelligence based on value chain of circular economy. Enterp Inform Syst 16:8–9. https://doi.org/10.1080/17517575.2020.1856422 .
    Paper not yet in RePEc: Add citation now
  25. Chen PHC, Gadepalli K, MacDonald R, Liu Y, Kadowaki S, Nagpal K, …, Stumpe MC (2019) An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nat Med 25(9):1453–1457.
    Paper not yet in RePEc: Add citation now
  26. Chew HS, Achananuparp P (2021) Perceptions and needs of artificial intelligence in health care to increase adoption: scoping review (preprint). https://doi.org/10.2196/preprints.32939 .
    Paper not yet in RePEc: Add citation now
  27. Chin-Yee B, Upshur R (2018) Clinical judgement in the era of big data and predictive analytics. J Eval Clin Pract 24(3):638–645.
    Paper not yet in RePEc: Add citation now
  28. Coble KH, Mishra AK, Ferrell S, Griffin T (2018) Big data in agriculture: a challenge for the future. Appl Economic Perspect Policy 40(1):79–96. https://doi.org/10.1093/aepp/ppx056 .

  29. Cooper S (2019) Insurance and artificial intelligence. New Technol Artif Intell Shipping Law 21st Century 178–190. https://doi.org/10.4324/9780429029172-13 .
    Paper not yet in RePEc: Add citation now
  30. Cope B, Kalantzis M, Searsmith D (2021) Artificial intelligence for education: knowledge and its assessment in AI-enabled learning ecologies. Educational Philos Theory 53(12):1229–1245. https://doi.org/10.1080/00131857.2020.1728732 .
    Paper not yet in RePEc: Add citation now
  31. Cosma G, Acampora G (2016) A computational intelligence approach to efficiently predicting review ratings in e-Commerce. Appl Soft Comput 44:153–162. https://doi.org/10.1016/j.asoc.2016.02.024 .
    Paper not yet in RePEc: Add citation now
  32. Crisan EL, Salanță II, Beleiu IN, Bordean ON, Bunduchi R (2021) A systematic literature review on accelerators. J Technol Transf 46(1):62–89. https://doi.org/10.1007/s10961-019-09754-9 .
    Paper not yet in RePEc: Add citation now
  33. Cubric M (2020) Drivers, barriers and social considerations for AI adoption in business and management: a tertiary study. Technol Soc 62:101257.

  34. Delanerolle G, Yang X, Shetty S, Raymont V, Shetty A, Phiri P, Hapangama DK, Tempest N, Majumder K, Shi JQ (2021) Artificial intelligence: a rapid case for advancement in the personalization of gynaecology/Obstetric and mental health care. Women’s Health 17:174550652110181. https://doi.org/10.1177/17455065211018111 .
    Paper not yet in RePEc: Add citation now
  35. Derhab N, Elkhwesky Z (2022) A systematic and critical review of waste management in micro, small and medium-sized enterprises: future directions for theory and practice. Environ Sci Pollut Res, 1–25.
    Paper not yet in RePEc: Add citation now
  36. Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res 133:285–296. https://doi.org/10.1016/j.jbusres.2021.04.070 .

  37. Doyle OM, Leavitt N, Rigg JA (2020) Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data. Sci Rep 10(1). https://doi.org/10.1038/s41598-020-67013-6 .
    Paper not yet in RePEc: Add citation now
  38. Elkhwesky Z (2022) A systematic and major review of proactive environmental strategies in hospitality and tourism: looking back for moving forward. Bus Strategy Environ 31(7):3274–3301.

  39. Elkhwesky Z, Abuelhassan AE, Elkhwesky EFY, Khreis SHA (2023a) Antecedents and consequences of behavioural intention to use virtual reality in tourism: evidence from Gen-Y and Gen-Z consumers in Egypt. Tourism and Hospitality Research, 14673584231170576.
    Paper not yet in RePEc: Add citation now
  40. Elkhwesky Z, Castañeda-García JA, Abuelhassan AE, Tag-Eldeen A (2023c) A systematic and critical review of restaurants’ business performance: future directions for theory and practice. Tourism and Hospitality Research 23(3):441–458.
    Paper not yet in RePEc: Add citation now
  41. Elkhwesky Z, Derhab N, Elkhwesky FFY, Abuelhassan AE, Hassan H (2023b) Hotel employees’ knowledge of monkeypox’s source, symptoms, transmission, prevention, and treatment in Egypt. Travel Med Infect Dis 53:102574.
    Paper not yet in RePEc: Add citation now
  42. Elkhwesky Z, Elkhwesky EFY (2022) A systematic and critical review of internet of things in contemporary hospitality: a roadmap and avenues for future research. Int J Contemp Hospitality Manage 35(2):533–562. https://doi.org/10.1108/IJCHM-01-2022-0090 .
    Paper not yet in RePEc: Add citation now
  43. Esmaeilzadeh P (2020) Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives. BMC Med Inf Decis Mak 20(1). https://doi.org/10.1186/s12911-020-01191-1 .
    Paper not yet in RePEc: Add citation now
  44. Esmaeilzadeh P, Mirzaei T, Dharanikota S (2021) Patients’ perceptions toward human–artificial intelligence interaction in health care: experimental study (preprint). https://doi.org/10.2196/preprints.25856 .
    Paper not yet in RePEc: Add citation now
  45. Fan W, Liu J, Zhu S, Pardalos PM (2020) Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS). Ann Oper Res 294:567–592.

  46. Faruk M, Rahman M, Hasan S (2021) How digital marketing evolved over time: a bibliometric analysis on scopus database. Heliyon 7(12):e08603. https://doi.org/10.1016/j.heliyon.2021.e08603 .
    Paper not yet in RePEc: Add citation now
  47. Feng Z (2020) Constructing rural e-commerce logistics model based on ant colony algorithm and artificial intelligence method. Soft Comput 24(11):7937–7946. https://doi.org/10.1007/s00500-019-04046-8 .
    Paper not yet in RePEc: Add citation now
  48. Feuerriegel S, Shrestha YR, von Krogh G, Zhang C (2022) Bringing artificial intelligence to business management. Nat Mach Intell 4(7):611–613.
    Paper not yet in RePEc: Add citation now
  49. Gandedkar NH, Wong MT, Darendeliler MA (2021) Role of virtual reality (VR), augmented reality (AR) and artificial intelligence (AI) in tertiary education and research of orthodontics: an insight. Semin Orthod 27(2):69–77. https://doi.org/10.1053/j.sodo.2021.05.003 .
    Paper not yet in RePEc: Add citation now
  50. Gao P, Li J, Liu S (2021) An introduction to key technology in artificial intelligence and big data driven E-LEarning and E-education. Mob Networks Appl 26(5):2123–2126. https://doi.org/10.1007/s11036-021-01777-7 .
    Paper not yet in RePEc: Add citation now
  51. Geluvaraj B, Satwik PM, Ashok Kumar TA (2019) The future of cybersecurity: major role of artificial intelligence, machine learning, and deep learning in cyberspace. Int Conf Comput Networks Communication Technol 739–747. https://doi.org/10.1007/978-981-10-8681-6_67 .
    Paper not yet in RePEc: Add citation now
  52. Grover P, Kar AK, Dwivedi YK (2020) Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Ann Oper Res, 1–37.
    Paper not yet in RePEc: Add citation now
  53. Guan C, Mou J, Jiang Z (2020) Artificial intelligence innovation in education: a twenty-year data-driven historical analysis. Int J Innov Stud 4(4):134–147. https://doi.org/10.1016/j.ijis.2020.09.001 .
    Paper not yet in RePEc: Add citation now
  54. Guha S (2021) Public perspectives on healthcare and artificial intelligence (AI). Int J Innov Educ Res 9(7):1–8. https://doi.org/10.31686/ijier.vol9.iss7.3207 .
    Paper not yet in RePEc: Add citation now
  55. Günesen SN, Şen N, Yıldırım N, Kaya T (2021) Customer churn prediction in FMCG sector using machine learning applications. IFIP Adv Inform Communication Technol 82–103. https://doi.org/10.1007/978-3-030-80847-1_6 .
    Paper not yet in RePEc: Add citation now
  56. Guo J, Li B (2018) The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity 2(1):174–181.
    Paper not yet in RePEc: Add citation now
  57. Guo Y, Hao Z, Zhao S, Gong J, Yang F (2020) Artificial intelligence in health care: bibliometric analysis. J Med Internet Res, 22(7), e18228.
    Paper not yet in RePEc: Add citation now
  58. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P (2021) Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Diversity 25:1315–1360.
    Paper not yet in RePEc: Add citation now
  59. Ha CT, Thao TTP, Trung NT, Van Dinh N, Trung T (2020) A bibliometric review of research on STEM education in ASEAN: Science mapping the literature in Scopus database, 2000 to 2019. Eurasia J Math Sci Technol Educ 16(10):em1889.
    Paper not yet in RePEc: Add citation now
  60. Hansen EB, Bøgh S (2021) Artificial intelligence and internet of things in small and medium-sized enterprises: a survey. J Manuf Syst 58:362–372. https://doi.org/10.1016/j.jmsy.2020.08.009 .
    Paper not yet in RePEc: Add citation now
  61. Hardcastle L, Ogbogu U (2020) Virtual care: enhancing access or harming care? Healthc Manage Forum 33(6):288–292. https://doi.org/10.1177/0840470420938818 .
    Paper not yet in RePEc: Add citation now
  62. Hengstler M, Enkel E, Duelli S (2016) Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices. Technol Forecast Soc Chang 105:105–120.
    Paper not yet in RePEc: Add citation now
  63. Herrera-Franco G, Montalván-Burbano N, Carrión-Mero P, Apolo-Masache B, Jaya-Montalvo M (2020) Research trends in Geotourism: a bibliometric analysis using the Scopus database. Geosciences 10(10):379. https://doi.org/10.3390/geosciences10100379 .
    Paper not yet in RePEc: Add citation now
  64. Hoffman T, Nissen K, Krambrich J, Rönnberg B, Akaberi D, Esmaeilzadeh M, …, Lundkvist à (2020) Evaluation of a COVID-19 IgM and IgG rapid test; an efficient tool for assessment of past exposure to SARS-CoV-2. Infect Ecol Epidemiol 10(1):1754538.
    Paper not yet in RePEc: Add citation now
  65. Huang A (2019) The era of artificial intelligence and big data provides knowledge services for the publishing industry in China. Publishing Res Q 35(1):164–171. https://doi.org/10.1007/s12109-018-9616-x .
    Paper not yet in RePEc: Add citation now
  66. Hwang G, Xie H, Wah BW, Gašević D (2020) Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence 1:100001. https://doi.org/10.1016/j.caeai.2020.100001 .
    Paper not yet in RePEc: Add citation now
  67. Ittiphalin M, Arnonkijpanich B, Pathumnakul S (2017) An artificial intelligence model to estimate the fat addition ratio for the mixing process in the animal feed industry. J Intell Manuf 28(1):219–228. https://doi.org/10.1007/s10845-014-0972-x .

  68. Jaksic M, Marinc M (2019) Relationship banking and information technology: the role of artificial intelligence and Fintech. Risk Manage 21:1–18.

  69. Jha K, Doshi A, Patel P, Shah M (2019) A comprehensive review on automation in agriculture using artificial intelligence. Artif Intell Agric 2:1–12. https://doi.org/10.1016/j.aiia.2019.05.004 .
    Paper not yet in RePEc: Add citation now
  70. Jha SK, Bilalovic J, Jha A, Patel N, Zhang H (2017) Renewable energy: Present research and future scope of artificial intelligence. Renew Sustain Energy Rev 77:297–317. https://doi.org/10.1016/j.rser.2017.04.018 .

  71. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, …, Wang Y (2017) Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4).
    Paper not yet in RePEc: Add citation now
  72. Jiang X, Xie M, Ma L, Dong L, Li D (2023) International publication trends in the application of artificial intelligence in ophthalmology research: an updated bibliometric analysis. Annals of Translational Medicine, 11(5).
    Paper not yet in RePEc: Add citation now
  73. Joerin A, Rauws M, Fulmer R, Black V (2020) Ethical artificial intelligence for digital health organizations. Cureus. https://doi.org/10.7759/cureus.7202 .
    Paper not yet in RePEc: Add citation now
  74. Jung J, Maeda M, Chang A, Bhandari M, Ashapure A, Landivar-Bowles J (2021) The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. Curr Opin Biotechnol 70:15–22. https://doi.org/10.1016/j.copbio.2020.09.003 .
    Paper not yet in RePEc: Add citation now
  75. Kamilaris A, Kartakoullis A, Prenafeta-Boldú FX (2017) A review on the practice of big data analysis in agriculture. Comput Electron Agric 143:23–37. https://doi.org/10.1016/j.compag.2017.09.037 .
    Paper not yet in RePEc: Add citation now
  76. Kankanhalli A, Charalabidis Y, Mellouli S (2019) IoT and AI for smart government: a research agenda. Government Inform Q 36(2):304–309.
    Paper not yet in RePEc: Add citation now
  77. Kelley KH, Fontanetta LM, Heintzman M, Pereira N (2018) Artificial intelligence: implications for social inflation and insurance. Risk Manage Insurance Rev 21(3):373–387. https://doi.org/10.1111/rmir.12111 .
    Paper not yet in RePEc: Add citation now
  78. Khanna S, Sattar A, Hansen D (2013) Artificial intelligence in health–the three big challenges. Australasian Med J 6(5):315.
    Paper not yet in RePEc: Add citation now
  79. Khedkar S, Gandhi P, Shinde G, Subramanian V (2020) Deep learning and explainable AI in healthcare using EHR. Stud Big Data 129–148. https://doi.org/10.1007/978-3-030-33966-1_7 .
    Paper not yet in RePEc: Add citation now
  80. Khudzari J, Kurian J, Tartakovsky B, Raghavan G (2018) Bibliometric analysis of global research trends on microbial fuel cells using Scopus database. Biochem Eng J 136:51–60. https://doi.org/10.1016/j.bej.2018.05.002 .
    Paper not yet in RePEc: Add citation now
  81. Klumpp M (2018) Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. Int J Logistics Res Appl 21(3):224–242.
    Paper not yet in RePEc: Add citation now
  82. Knox J (2020) Artificial intelligence and education in China. Learn Media Technol 45(3):298–311. https://doi.org/10.1080/17439884.2020.1754236 .
    Paper not yet in RePEc: Add citation now
  83. Königstorfer F, Thalmann S (2020) Applications of artificial intelligence in commercial banks – A research agenda for behavioral finance. J Behav Experimental Finance 27:100352. https://doi.org/10.1016/j.jbef.2020.100352 .

  84. Kononenko I (2001) Machine learning for medical diagnosis: history, state of the art and perspective. Artif Intell Med 23(1):89–109.
    Paper not yet in RePEc: Add citation now
  85. Kouadio L, Deo RC, Byrareddy V, Adamowski JF, Mushtaq S, Nguyen P, V (2018) Artificial intelligence approach for the prediction of robusta coffee yield using soil fertility properties. Comput Electron Agric 155:324–338. https://doi.org/10.1016/j.compag.2018.10.014 .
    Paper not yet in RePEc: Add citation now
  86. Krasheninnikova E, García J, Maestre R, Fernández F (2019) Reinforcement learning for pricing strategy optimization in the insurance industry. Eng Appl Artif Intell 80:8–19. https://doi.org/10.1016/j.engappai.2019.01.010 .
    Paper not yet in RePEc: Add citation now
  87. Kraus S, Breier M, Dasí-Rodríguez S (2020) The art of crafting a systematic literature review in entrepreneurship research. Int Entrepreneurship Manage J 16:1023–1042.

  88. Kraus S, Breier M, Lim WM, Dabić M, Kumar S, Kanbach D, Mukherjee D, Corvello V, Piñeiro-Chousa J, Liguori E, Palacios-Marqués D, Schiavone F, Ferraris A, Fernandes C, Ferreira JJ (2022) Literature reviews as independent studies: guidelines for academic practice. RMS 16(8):2577–2595. https://doi.org/10.1007/s11846-022-00588-8 .

  89. Kraus S, Mahto RV, Walsh ST (2023) The importance of literature reviews in small business and entrepreneurship research. J Small Bus Manage 61(3):1095–1106.

  90. Kraus S, Schiavone F, Pluzhnikova A, Invernizzi AC (2021) Digital transformation in healthcare: analyzing the current state-of-research. J Bus Res 123:557–567.

  91. Kumar S, Pandey N, Lim WM, Chatterjee AN, Pandey N (2021) What do we know about transfer pricing? Insights from bibliometric analysis. J Bus Res 134:275–287. https://doi.org/10.1016/j.jbusres.2021.05.041 .

  92. Lechwar S, Rauch Ł, Pietrzyk M (2015) Use of artificial intelligence in classification of mill scale defects. Steel Res Int 86(3):266–277. https://doi.org/10.1002/srin.201400016 .
    Paper not yet in RePEc: Add citation now
  93. Lee J, Chen X (2022) Exploring users’ adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. Int J Bank Mark 40(4):631–658. https://doi.org/10.1108/ijbm-08-2021-0394 .
    Paper not yet in RePEc: Add citation now
  94. Lee J, Davari H, Singh J, Pandhare V (2018) Industrial artificial intelligence for industry 4.0-based manufacturing systems. Manuf Lett 18:20–23. https://doi.org/10.1016/j.mfglet.2018.09.002 .
    Paper not yet in RePEc: Add citation now
  95. Lins S, Pandl KD, Teigeler H, Thiebes S, Bayer C, Sunyaev A (2021) Artificial intelligence as a service. Bus Inform Syst Eng 63(4):441–456. https://doi.org/10.1007/s12599-021-00708-w .
    Paper not yet in RePEc: Add citation now
  96. Lui AK, Lee M, Ngai EW (2022) Impact of artificial intelligence investment on firm value. Ann Oper Res 308(1):373–388.
    Paper not yet in RePEc: Add citation now
  97. Luxton DD (2014) Recommendations for the ethical use and design of artificial intelligent care providers. Artif Intell Med 62(1):1–10. https://doi.org/10.1016/j.artmed.2014.06.004 .
    Paper not yet in RePEc: Add citation now
  98. Mahmoud AB, Tehseen S, Fuxman L (2020) The dark side of artificial intelligence in retail innovation. Retail Futures 165–180. https://doi.org/10.1108/978-1-83867-663-620201019 .
    Paper not yet in RePEc: Add citation now
  99. Maluleke K, Musekiwa A, Kgarosi K, Gregor EM, Dlangalala T, Nkambule S, Mashamba-Thompson T (2021) A scoping review of supply chain management systems for point of care diagnostic services: optimising COVID-19 testing capacity in resource-limited settings. Diagnostics 11(12):2299.
    Paper not yet in RePEc: Add citation now
  100. Manyika J, Chui M, Miremadi M, Bughin J, George K, Willmott P, Dewhurst M (2017) A future that works: AI, automation, employment, and productivity. McKinsey Global Institute Research Tech Rep 60:1–135.
    Paper not yet in RePEc: Add citation now
  101. Mas-Tur A, Kraus S, Brandtner M, Ewert R, Kürsten W (2020) Advances in management research: a bibliometric overview of the review of managerial science. RMS 14(5):933–958. https://doi.org/10.1007/s11846-020-00406-z .

  102. Massaro M (2021) Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation 102386. https://doi.org/10.1016/j.technovation.2021.102386 .
    Paper not yet in RePEc: Add citation now
  103. Massaro TM, Norton H, Kaminski ME (2016) SIRI-OUSLY 2.0: what artificial intelligence reveals about the first amendment. Minn Law Rev 101:2481.
    Paper not yet in RePEc: Add citation now
  104. Masters K (2019) Artificial intelligence in medical education. Med Teach 41(9):976–980. https://doi.org/10.1080/0142159x.2019.1595557 .
    Paper not yet in RePEc: Add citation now
  105. McDougall RJ (2019) No we shouldn’t be afraid of medical AI; it involves risks and opportunities. J Med Ethics 45(8):559–559.
    Paper not yet in RePEc: Add citation now
  106. Menon VG, Jacob S, Joseph S, Sehdev P, Khosravi MR, Al-Turjman F (2022) An IoT-enabled intelligent automobile system for smart cities. Internet of Things 18:100213. https://doi.org/10.1016/j.iot.2020.100213 .
    Paper not yet in RePEc: Add citation now
  107. Meskó, Meskó (2019) The real era of the art of medicine begins with artificial intelligence. J Med Internet Res 21(11):e16295.
    Paper not yet in RePEc: Add citation now
  108. Mishra M, Sudarsan D, Santos CAG, Mishra SK, Kar D, Baral K, Pattnaik N (2021) An overview of research on natural resources and indigenous communities: a bibliometric analysis based on Scopus database (1979–2020). Environ Monit Assess 193:1–17.
    Paper not yet in RePEc: Add citation now
  109. Mitchell M, Kan L (2019) Digital technology and the future of health systems. Health Syst Reform 5(2):113–120. https://doi.org/10.1080/23288604.2019.1583040 .
    Paper not yet in RePEc: Add citation now
  110. Mohanty I, Bhattacherjee D (2016) Artificial neural network and its application in steel industry. Nature-Inspired Comput 138–171. https://doi.org/10.4018/978-1-5225-0788-8.ch007 .
    Paper not yet in RePEc: Add citation now
  111. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097 .

  112. Montoya FG, Alcayde A, Baños R, Manzano-Agugliaro F (2018) A fast method for identifying worldwide scientific collaborations using the Scopus database. Telematics Inform 35(1):168–185. https://doi.org/10.1016/j.tele.2017.10.010 .
    Paper not yet in RePEc: Add citation now
  113. Musbahi O, Syed L, Le Feuvre P, Cobb J, Jones G (2021) Public patient views of artificial intelligence in healthcare: a nominal group technique study. Digit Health 7:20552076211063682.
    Paper not yet in RePEc: Add citation now
  114. Nayal K, Raut RD, Queiroz MM, Yadav VS, Narkhede BE (2021) Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective. Int J Logistics Manage. https://doi.org/10.1108/ijlm-01-2021-0002 .
    Paper not yet in RePEc: Add citation now
  115. Nizam V, Aslekar A (2021) Challenges of applying AI in healthcare in India. J Pharm Res Int 203–209. https://doi.org/10.9734/jpri/2021/v33i36b31969 .
    Paper not yet in RePEc: Add citation now
  116. Oosthuizen K, Botha E, Robertson J, Montecchi M (2021) Artificial intelligence in retail: the AI-enabled value chain. Australasian Mark J 29(3):264–273. https://doi.org/10.1016/j.ausmj.2020.07.007 .
    Paper not yet in RePEc: Add citation now
  117. Panch T, Szolovits P, Atun R (2018) Artificial intelligence, machine learning and health systems. J Global Health 8(2). https://doi.org/10.7189/jogh.08.020303 .
    Paper not yet in RePEc: Add citation now
  118. Patil M, Rao M (2019) Studying the contribution of machine learning and artificial intelligence in the interface design of e-commerce site. In Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on SCI 2018, Volume 2 (pp. 197–206). Springer Singapore.
    Paper not yet in RePEc: Add citation now
  119. Patrício DI, Rieder R (2018) Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Comput Electron Agric 153:69–81. https://doi.org/10.1016/j.compag.2018.08.001 .
    Paper not yet in RePEc: Add citation now
  120. Payne E, Peltier JW, Barger VA (2018) Mobile banking and AI-enabled mobile banking. J Res Interact Mark 12(3):328–346. https://doi.org/10.1108/jrim-07-2018-0087 .
    Paper not yet in RePEc: Add citation now
  121. Payne EH, Peltier J, Barger VA (2021) Enhancing the value co-creation process: Artificial intelligence and mobile banking service platforms. J Res Interact Mark 15(1):68–85. https://doi.org/10.1108/jrim-10-2020-0214 .
    Paper not yet in RePEc: Add citation now
  122. Pee LG, Pan SL, Cui L (2019) Artificial intelligence in healthcare robots: a social informatics study of knowledge embodiment. J Association Inform Sci Technol 70(4):351–369.

  123. Phillips-Wren G, Jain L (2006) Artificial intelligence for decision making. Lect Notes Comput Sci 531–536. https://doi.org/10.1007/11893004_69 .
    Paper not yet in RePEc: Add citation now
  124. Pillai R, Sivathanu B, Dwivedi YK (2020) Shopping intention at AI-powered automated retail stores (AIPARS). J Retailing Consumer Serv 57:102207. https://doi.org/10.1016/j.jretconser.2020.102207 .

  125. Ramlal, Chongtham (2021) in Translational Bioinformatics in Healthcare and Medicine, https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/scopus .
    Paper not yet in RePEc: Add citation now
  126. Rawson TM, Ahmad R, Toumazou C, Georgiou P, Holmes AH (2019) Artificial intelligence can improve decision-making in infection management. Nat Hum Behav 3(6):543–545. https://doi.org/10.1038/s41562-019-0583-9 .

  127. Reddy S, Fox J, Purohit MP (2019) Artificial intelligence-enabled healthcare delivery. J R Soc Med 112(1):22–28.
    Paper not yet in RePEc: Add citation now
  128. Rehman A, Naz S, Razzak I (2021) Leveraging big data analytics in healthcare enhancement: Trends, challenges and opportunities. Multimedia Syst 28(4):1339–1371. https://doi.org/10.1007/s00530-020-00736-8 .
    Paper not yet in RePEc: Add citation now
  129. Riikkinen M, Saarijärvi H, Sarlin P, Lähteenmäki I (2018) Using artificial intelligence to create value in insurance. Int J Bank Mark 36(6):1145–1168. https://doi.org/10.1108/ijbm-01-2017-0015 .
    Paper not yet in RePEc: Add citation now
  130. Rizvi AT, Haleem A, Bahl S, Javaid M (2021) Artificial intelligence (AI) and its applications in indian manufacturing: a review. Lecture Notes in Mechanical Engineering 825–835. https://doi.org/10.1007/978-981-33-4795-3_76 .
    Paper not yet in RePEc: Add citation now
  131. Rodgers W, Yeung F, Odindo C, Degbey WY (2021) Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior. J Bus Res 126:401–414. https://doi.org/10.1016/j.jbusres.2020.12.039 .

  132. Sahu CK, Young C, Rai R (2021) Artificial intelligence (AI) in augmented reality (ar)-assisted manufacturing applications: a review. Int J Prod Res 59(16):4903–4959. https://doi.org/10.1080/00207543.2020.1859636 .

  133. Samara D, Magnisalis I, Peristeras V (2020) Artificial intelligence and big data in tourism: a systematic literature review. J Hospitality Tourism Technol 11(2):343–367. https://doi.org/10.1108/jhtt-12-2018-0118 .
    Paper not yet in RePEc: Add citation now
  134. Samek W, Müller KR (2019) Towards explainable artificial intelligence. Explainable AI: interpreting, explaining and visualizing deep learning, 5–22.
    Paper not yet in RePEc: Add citation now
  135. Santana M, Díaz-Fernández M (2022) Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives. RMS, 1–34.
    Paper not yet in RePEc: Add citation now
  136. Sauer PC, Seuring S (2023) How to conduct systematic literature reviews in management research: a guide in 6 steps and 14 decisions. RMS, 1–35.

  137. Schneider S, Leyer M (2019) Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions. Manag Decis Econ 40(3):223–231. https://doi.org/10.1002/mde.2982 .

  138. Schuur F, Rezazade Mehrizi MH, Ranschaert E (2021) Training opportunities of artificial intelligence (AI) in radiology: a systematic review. Eur Radiol. https://doi.org/10.1007/s00330-020-07621-y .
    Paper not yet in RePEc: Add citation now
  139. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P (2021) The role of artificial intelligence in healthcare: a structured literature review. BMC Med Inf Decis Mak 21(1). https://doi.org/10.1186/s12911-021-01488-9 .
    Paper not yet in RePEc: Add citation now
  140. Shaban-Nejad A, Michalowski M, Buckeridge DL (2018) Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit Med 1(1). https://doi.org/10.1038/s41746-018-0058-9 .
    Paper not yet in RePEc: Add citation now
  141. Shafaei S, Nourmohamadi-Moghadami A, Kamgar S (2016) Development of artificial intelligence based systems for prediction of hydration characteristics of wheat. Comput Electron Agric 128:34–45. https://doi.org/10.1016/j.compag.2016.08.014 .
    Paper not yet in RePEc: Add citation now
  142. Sheikh A, Anderson M, Albala S, Casadei B, Franklin BD, Richards M, Taylor D, Tibble H, Mossialos E (2021) Health information technology and digital innovation for national learning health and care systems. Lancet Digit Health 3(6):e383–e396. https://doi.org/10.1016/s2589-7500(21)00005-4 .
    Paper not yet in RePEc: Add citation now
  143. Shrestha YR, Ben-Menahem SM, Von Krogh G (2019) Organizational decision-making structures in the age of artificial intelligence. Calif Manag Rev 61(4):66–83. https://doi.org/10.1177/0008125619862257 .
    Paper not yet in RePEc: Add citation now
  144. Shuaib A, Arian H, Shuaib A (2020) The increasing role of artificial intelligence in health care: will robots replace doctors in the future? Int J Gen Med 13:891–896. https://doi.org/10.2147/ijgm.s268093 .
    Paper not yet in RePEc: Add citation now
  145. Srinivasan S, Gupta M, Jayaraman V (2021) Deconstructing corporate value creation: evidence from indian information technology enabled service (ITeS) companies. Benchmarking: An International Journal 28(9):2741–2770. https://doi.org/10.1108/bij-10-2020-0553 .
    Paper not yet in RePEc: Add citation now
  146. Suhail F, Adel M, Al-Emran M, Shaalan K (2022) A bibliometric analysis on the role of artificial intelligence in healthcare. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis, 1–14.
    Paper not yet in RePEc: Add citation now
  147. Sunarti S, Fadzlul Rahman F, Naufal M, Risky M, Febriyanto K, Masnina R (2021) Artificial intelligence in healthcare: Opportunities and risk for future. Gac Sanit 35:S67–S70. https://doi.org/10.1016/j.gaceta.2020.12.019 .
    Paper not yet in RePEc: Add citation now
  148. Sweileh WM (2018) Research trends on human trafficking: a bibliometric analysis using Scopus database. Globalization and Health 14(1). https://doi.org/10.1186/s12992-018-0427-9 .
    Paper not yet in RePEc: Add citation now
  149. Tagliaferri SD, Angelova M, Zhao X, Owen PJ, Miller CT, Wilkin T, Belavy DL (2020) Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews. npj Digit Med 3(1). https://doi.org/10.1038/s41746-020-0303-x .
    Paper not yet in RePEc: Add citation now
  150. Talaviya T, Shah D, Patel N, Yagnik H, Shah M (2020) Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artif Intell Agric 4:58–73. https://doi.org/10.1016/j.aiia.2020.04.002 .
    Paper not yet in RePEc: Add citation now
  151. Tang KJW, Ang CKE, Constantinides T, Rajinikanth V, Acharya UR, Cheong KH (2021) Artificial intelligence and machine learning in emergency medicine. Biocybernetics and Biomedical Engineering 41(1):156–172.
    Paper not yet in RePEc: Add citation now
  152. Tarallo E, Akabane GK, Shimabukuro CI, Mello J, Amancio D (2019) Machine learning in predicting demand for fast-moving consumer goods: an exploratory research. IFAC-PapersOnLine 52(13):737–742. https://doi.org/10.1016/j.ifacol.2019.11.203 .
    Paper not yet in RePEc: Add citation now
  153. Thrall JH, Li X, Li Q, Cruz C, Do S, Dreyer K, Brink J (2018) Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success. J Am Coll Radiol 15(3):504–508.
    Paper not yet in RePEc: Add citation now
  154. Torres-Carrion PV, Gonzalez-Gonzalez CS, Aciar S, Rodriguez-Morales G (2018) Methodology for systematic literature review applied to engineering and education. 2018 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon.2018.8363388 .
    Paper not yet in RePEc: Add citation now
  155. Tran BX, Vu GT, Ha GH, Vuong QH, Ho MT, Vuong TT, …, Ho RC (2019) Global evolution of research in artificial intelligence in health and medicine: a bibliometric study. J Clin Med 8(3):360.
    Paper not yet in RePEc: Add citation now
  156. Truby J, Brown R, Dahdal A (2020) undefined. Law and Financial Markets Review, 14(2), 110–120. https://doi.org/10.1080/17521440.2020.1760454 .
    Paper not yet in RePEc: Add citation now
  157. Tschang FT, Almirall E (2021) Artificial intelligence as augmenting automation: implications for employment. Acad Manage Perspect 35(4):642–659.
    Paper not yet in RePEc: Add citation now
  158. Väänänen A, Haataja K, Toivanen P (2020) Survey to healthcare professionals on the practicality of AI services for healthcare. F1000Research, 9, 760. https://doi.org/10.12688/f1000research.23883.1 .
    Paper not yet in RePEc: Add citation now
  159. Väänänen A, Haataja K, Vehviläinen-Julkunen K, Toivanen P (2021) AI in healthcare: A narrative review. F1000Research, 10, 6. https://doi.org/10.12688/f1000research.26997.2 .
    Paper not yet in RePEc: Add citation now
  160. Vanneschi L, Horn DM, Castelli M, Popovič A (2018) An artificial intelligence system for predicting customer default in e-Commerce. Expert Syst Appl 104:1–21. https://doi.org/10.1016/j.eswa.2018.03.025 .
    Paper not yet in RePEc: Add citation now
  161. Verma D, Dong Y, Sharma M, Chaudhary AK (2022) Advanced processing of 3D printed biocomposite materials using artificial intelligence. Mater Manuf Processes 37(5):518–538. https://doi.org/10.1080/10426914.2021.1945090 .
    Paper not yet in RePEc: Add citation now
  162. Vicente-Saez R, Martinez-Fuentes C (2018) Open science now: a systematic literature review for an integrated definition. J Bus Res 88:428–436. https://doi.org/10.1016/j.jbusres.2017.12.043 .

  163. Vieira GC, de Mendonça AR, da Silva GF, Zanetti SS, da Silva MM, Dos Santos AR (2018) Prognoses of diameter and height of trees of eucalyptus using artificial intelligence. Sci Total Environ 619:1473–1481.
    Paper not yet in RePEc: Add citation now
  164. Vinodhini G, Chandrasekaran R (2017) A sampling based sentiment mining approach for e-Commerce applications. Inf Process Manag 53(1):223–236. https://doi.org/10.1016/j.ipm.2016.08.003 .
    Paper not yet in RePEc: Add citation now
  165. Wahl B, Cossy-Gantner A, Germann S, Schwalbe NR (2018) Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ Global Health, 3(4), e000798.
    Paper not yet in RePEc: Add citation now
  166. Wamba-Taguimdje S, Fosso Wamba S, Kala Kamdjoug JR, Wanko T, C. E (2020) Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Bus Process Manage J 26(7):1893–1924. https://doi.org/10.1108/bpmj-10-2019-0411 .
    Paper not yet in RePEc: Add citation now
  167. Wang Y, Fang X, Hou J (2019) Application and practice of deep learning platform in automobile field. Adv Intell Syst Comput 1337–1341. https://doi.org/10.1007/978-3-030-15235-2_183 .
    Paper not yet in RePEc: Add citation now
  168. Weber FD, Schütte R (2019) State-of-the-art and adoption of artificial intelligence in retailing. Digit Policy Regul Gov 21(3):264–279. https://doi.org/10.1108/dprg-09-2018-0050 .
    Paper not yet in RePEc: Add citation now
  169. Wong ZS, Zhou J, Zhang Q (2019) Artificial intelligence for infectious disease big data analytics. Infect Disease Health 24(1):44–48.
    Paper not yet in RePEc: Add citation now
  170. Xiao Y, Watson M (2019) Guidance on conducting a systematic literature review. J Plann Educ Res 39(1):93–112. https://doi.org/10.1177/0739456x17723971 .
    Paper not yet in RePEc: Add citation now
  171. Xu B, Kocyigit D, Grimm R, Griffin BP, Cheng F (2020) Applications of artificial intelligence in multimodality cardiovascular imaging: a state-of-the-art review. Prog Cardiovasc Dis 63(3):367–376.
    Paper not yet in RePEc: Add citation now
  172. Yang JJ, Li JQ, Niu Y (2015) A hybrid solution for privacy preserving medical data sharing in the cloud environment. Future Generation Computer Systems 43:74–86.
    Paper not yet in RePEc: Add citation now
  173. Yang X, Wang Y, Byrne R, Schneider G, Yang S (2019) Concepts of artificial intelligence for computer-assisted drug discovery. Chem Rev 119(18):10520–10594. https://doi.org/10.1021/acs.chemrev.8b00728 .
    Paper not yet in RePEc: Add citation now
  174. Yannier N, Hudson SE, Koedinger KR (2020) Active learning is about more than hands-on: a mixed-reality AI system to support STEM education. Int J Artif Intell Educ 30:74–96.
    Paper not yet in RePEc: Add citation now
  175. Yeh HL, Lin CS, Su CT, Wang PC (2011) Applying lean six sigma to improve healthcare: an empirical study. Afr J Bus Manage 5(31):12356.
    Paper not yet in RePEc: Add citation now
  176. Yigitcanlar T, Cugurullo F (2020) The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities. Sustainability 12(20):8548.

  177. Zhang C, Lu Y (2021) Study on artificial intelligence: the state of the art and future prospects. J Industrial Inform Integr 23:100224.
    Paper not yet in RePEc: Add citation now
  178. Zhang D, Pee L, Cui L (2021) Artificial intelligence in e-Commerce fulfillment: a case study of resource orchestration at Alibaba’s smart warehouse. Int J Inf Manag 57:102–304. https://doi.org/10.1016/j.ijinfomgt.2020.102304 .

Cocites

Documents in RePEc which have cited the same bibliography

  1. Artificial intelligence enabled product–service innovation: past achievements and future directions. (2025). Parida, Vinit ; Kohtamki, Marko ; Naeem, Rimsha.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:19:y:2025:i:7:d:10.1007_s11846-024-00757-x.

    Full description at Econpapers || Download paper

  2. AI-driven innovation within the ICT sector. (2025). Ndoka, Ervisa ; Grabocka, Erika.
    In: Smart Cities and Regional Development (SCRD) Journal.
    RePEc:pop:journl:v:9:y:2025:i:1:p:77-97.

    Full description at Econpapers || Download paper

  3. The role of cyber security and digital transformation in gaining competitive advantage through Strategic Management Accounting. (2025). Yaqub, Muhammad Zafar ; Broccardo, Laura ; Khoualdi, Kamel ; Chotia, Varun.
    In: Technology in Society.
    RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000417.

    Full description at Econpapers || Download paper

  4. Business model innovation in the age of metaverse. (2025). Qiu, Zhenyu ; Zhao, Chenfang ; Liu, Jianyi.
    In: Technovation.
    RePEc:eee:techno:v:143:y:2025:i:c:s0166497225000574.

    Full description at Econpapers || Download paper

  5. The Influence of Political, Social, and Economic Factors on the Acceptance of Technology in the Workplace in the Context of Industrial Revolution 4.0. (2025). Nastase, Marian ; Cristache, Nicoleta ; Florea, Nicoleta Valentina ; Croitoru, Gabriel ; Fortea, Costinela ; Tureatca, Manuela-Violeta.
    In: The AMFITEATRU ECONOMIC journal.
    RePEc:aes:amfeco:v:27:y:2025:i:68:p:76.

    Full description at Econpapers || Download paper

  6. Balanced scorecard: trends, developments, and future directions. (2024). Lim, Weng Marc ; Bamel, Umesh ; Kumar, Satish ; Sureka, Riya ; Chiappetta, Charbel Jose.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:8:d:10.1007_s11846-023-00700-6.

    Full description at Econpapers || Download paper

  7. A matter of motivation: the impact of enterprise digital transformation on green innovation. (2024). Botella-Carrubi, Dolores ; Ribeiro-Navarrete, Samuel ; He, Qiuqin.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:5:d:10.1007_s11846-023-00665-6.

    Full description at Econpapers || Download paper

  8. Partner selection strategies of SMEs for reaching the Sustainable Development Goals. (2024). Castellani, Paola ; Rossato, Chiara ; Giaretta, Elena ; Vargas-Snchez, Alfonso.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:5:d:10.1007_s11846-023-00656-7.

    Full description at Econpapers || Download paper

  9. The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective. (2024). Lahmann, Alexander ; Schreiter, Maximilian ; Blueher, Georg ; Heiduk, Louisa ; Kanbach, Dominik K.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:4:d:10.1007_s11846-023-00696-z.

    Full description at Econpapers || Download paper

  10. Artificial intelligence in healthcare services: past, present and future research directions. (2024). Youssif, Fady Fayez ; Jasim, Mohamed K ; Elkhwesky, Zakaria ; Shah, Shabeena W.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:3:d:10.1007_s11846-023-00699-w.

    Full description at Econpapers || Download paper

  11. Open innovation: status quo and quo vadis - an analysis of a research field. (2024). Ricciardi, Francesca ; Bernardi, Paola ; Bertello, Alberto.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00655-8.

    Full description at Econpapers || Download paper

  12. Absorptive capacity in family firms: a systematic literature review. (2024). Werner, Arndt ; Ptz, Laura.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00651-y.

    Full description at Econpapers || Download paper

  13. Entrepreneurship in family firms: an updated bibliometric overview. (2024). Anwar, Muhammad ; Clauss, Thomas ; Meyer, Natanya.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00650-z.

    Full description at Econpapers || Download paper

  14. The role of digitalization in business and management: a systematic literature review. (2024). Monge, Esther ; Ribeiro-Soriano, Domingo ; Calderon-Monge, Esther.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00647-8.

    Full description at Econpapers || Download paper

  15. E-commerce channel management on the manufacturers’ side: ongoing debates and future research pathways. (2024). Ballerini, Jacopo ; Ferraris, Alberto ; Yahiaoui, Dorra ; Giovando, Guido.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00645-w.

    Full description at Econpapers || Download paper

  16. Online reputation of agri-food companies and determining factors: an empirical investigation. (2024). Puentes-Poyatos, Raquel ; Bernal-Jurado, Enrique ; Mozas-Moral, Adoracin ; Fernndez-Ucls, Domingo.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00639-8.

    Full description at Econpapers || Download paper

  17. Digital innovation in entrepreneurial firms: a systematic literature review. (2024). Ammirato, Salvatore ; Corvello, Vincenzo ; Felicetti, Alberto Michele.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:18:y:2024:i:2:d:10.1007_s11846-023-00638-9.

    Full description at Econpapers || Download paper

  18. In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives. (2024). Novoa-Hernandez, Pavel ; Espinoza, Fabian A ; Corona, Carlos Cruz ; Zambrano, Bryan N.
    In: Journal of Innovation and Entrepreneurship.
    RePEc:spr:joiaen:v:13:y:2024:i:1:d:10.1186_s13731-024-00396-2.

    Full description at Econpapers || Download paper

  19. Value creation and appropriation from the use of machine learning: a study of start-ups using fuzzy-set qualitative comparative analysis. (2024). Staniewski, Marcin W ; Haftor, Darek M ; Navarrete, Samuel Ribeiro ; Costa-Climent, Ricardo.
    In: International Entrepreneurship and Management Journal.
    RePEc:spr:intemj:v:20:y:2024:i:2:d:10.1007_s11365-023-00922-w.

    Full description at Econpapers || Download paper

  20. Understanding Artificial Intelligence Diffusion through an AI Capability Maturity Model. (2024). Altwaijry, Ajwa ; Hansen, Hans Fredrik ; Lillesund, Elise ; Mikalef, Patrick.
    In: Information Systems Frontiers.
    RePEc:spr:infosf:v:26:y:2024:i:6:d:10.1007_s10796-024-10528-4.

    Full description at Econpapers || Download paper

  21. AI technologies affording the orchestration of ecosystem-based business models: the moderating role of AI knowledge spillover. (2024). Chin, Tachia ; Deveci, Muhammet ; Ayub, Muhammad Waleed ; Jin, Jiyang.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03003-7.

    Full description at Econpapers || Download paper

  22. Artificial intelligence and religious freedom: divergent paths converging on economic expansion. (2024). He, Yugang.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02642-0.

    Full description at Econpapers || Download paper

  23. Unpacking the impact of entrepreneurial learning on business model innovation in internet startups: Mediating roles of digital capabilities. (2024). Liu, Yuan ; Peng, Mixiang ; Xiang, Guopeng ; Tang, Fei.
    In: Technology in Society.
    RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x2400126x.

    Full description at Econpapers || Download paper

  24. Sowing the seeds for sustainability: A business model innovation perspective on artificial intelligence in green technology startups. (2024). Kraus, Sascha ; Kallmuenzer, Andreas ; Kanbach, Dominik K ; Antonio, Jerome L ; Jorzik, Philip.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524004517.

    Full description at Econpapers || Download paper

  25. Artificial intelligence capabilities for circular business models: Research synthesis and future agenda. (2024). Parida, Vinit ; Mikalef, Patrick ; Sjodin, David ; Madanaguli, Arun.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523008740.

    Full description at Econpapers || Download paper

  26. Strategic foresight and business model innovation: The sequential mediating role of sensemaking and learning. (2024). Moqaddamerad, Sara ; Ali, Murad.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523007801.

    Full description at Econpapers || Download paper

  27. Were implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems. (2024). Gillner, Sandra.
    In: Social Science & Medicine.
    RePEc:eee:socmed:v:340:y:2024:i:c:s0277953623007992.

    Full description at Econpapers || Download paper

  28. AI-driven business model innovation: A systematic review and research agenda. (2024). Klein, Sascha P ; Kraus, Sascha ; Jorzik, Philip ; Kanbach, Dominik K.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:182:y:2024:i:c:s0148296324002686.

    Full description at Econpapers || Download paper

  29. Entrepreneurship innovation using social robots in tourism: a social listening study. (2023). Javier, Sánchez-García ; Rodriguez-Artola, Rosa ; Moliner-Tena, Miguel Angel ; Callarisa-Fiol, Luis J ; Sanchez-Garcia, Javier.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:17:y:2023:i:8:d:10.1007_s11846-023-00646-9.

    Full description at Econpapers || Download paper

  30. Digitalization, entrepreneurship and competitiveness: an analysis from 19 European countries. (2023). Galindo-Martin, Miguel-Angel ; Mendez-Picazo, Maria-Teresa ; Castao-Martinez, Maria-Soledad.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:17:y:2023:i:5:d:10.1007_s11846-023-00640-1.

    Full description at Econpapers || Download paper

  31. Configurations of Business Model Innovation: Unpacking the Practice Adopted by Firms in an Emerging Market Context. (2023). Kodithuwakku, Sarath S ; Weerakoon, Chamindika.
    In: Journal of Entrepreneurship and Innovation in Emerging Economies.
    RePEc:sae:jouent:v:32:y:2023:i:1:p:218-259.

    Full description at Econpapers || Download paper

  32. “Smart” outsourcing in support of the humanization of entrepreneurship in the artificial intelligence economy. (2023). Dzedik, Valentin A ; Boldyreva, Saglar B ; Markeeva, Galina A ; Matytsin, Denis E.
    In: Palgrave Communications.
    RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-022-01493-x.

    Full description at Econpapers || Download paper

  33. Evaluating the Impact of Emerging Technologies on the ECBs Mandate: Can the European Central Bank Use Distributed Ledger Technology and Digital Euro to Advance Financial Inclusion in Europe?. (2023). Florea, Nicoleta Valentina ; Sbirneciu, Cristina.
    In: Ovidius University Annals, Economic Sciences Series.
    RePEc:ovi:oviste:v:xxiii:y:2023:i:1:p:1059-1070.

    Full description at Econpapers || Download paper

  34. Automation, organizational ambidexterity and the stability of employee relations: new tensions arising between corporate entrepreneurship, innovation management and stakeholder management. (2023). , Martin ; Pielsticker, David I.
    In: The Journal of Technology Transfer.
    RePEc:kap:jtecht:v:48:y:2023:i:6:d:10.1007_s10961-022-09987-1.

    Full description at Econpapers || Download paper

  35. Digital Transformation and Green Innovation of Energy Enterprises. (2023). Liu, Yutong ; Song, Peiyi.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:9:p:7703-:d:1141831.

    Full description at Econpapers || Download paper

  36. Antecedents of technological readiness in times of crises: A comparison between before and during COVID-19. (2023). Durst, Susanne ; Kraus, Sascha ; Foli, Samuel ; Cheng, Cheng-Feng ; Davila, Andres.
    In: Technology in Society.
    RePEc:eee:teinso:v:72:y:2023:i:c:s0160791x22003360.

    Full description at Econpapers || Download paper

  37. Artificial intelligence and corporate innovation: A review and research agenda. (2023). Bahoo, Salman ; Cucculelli, Marco ; Qamar, Dawood.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522007855.

    Full description at Econpapers || Download paper

  38. Management in times of crises: reflections on characteristics, avoiding pitfalls, and pathways out. (2022). Kraus, Sascha ; Bouncken, Ricarda B ; Ancillo, Antonio Lucas.
    In: Review of Managerial Science.
    RePEc:spr:rvmgts:v:16:y:2022:i:7:d:10.1007_s11846-022-00580-2.

    Full description at Econpapers || Download paper

  39. How Knowledge Sharing Affects Business Model Innovation: An Empirical Study from the Perspective of Ambidextrous Organizational Learning. (2022). Li, Xiangqian ; Qiang, Qiang ; Huang, LI.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:10:p:6157-:d:818838.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-26 03:25:45 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.