The DOI matches its Crossref record; 143 of the 144 references it cites were found in a registry or an index.
The new normal: The status quo of AI adoption in SMEs
Open accessAbstract
The recent surge in the adoption of artificial intelligence (AI) by small and medium-sized enterprises (SMEs) has garnered significant research attention. However, the existing literature reveals a fragmented landscape that hinders our understanding of how SMEs use AI. We address this through a systematic literature review wherein we analyze 106 peer-reviewed articles on AI adoption in SMEs and categorize states and trends into eight clusters: (1) compatibility, (2) infrastructure, (3) knowledge, (4) resources, (5) culture, (6) competition, (7) regulation, and (8) ecosystem: according to the technology–organization–environment model. Our research provides valuable insights and identifies significant gaps in existing literature, notably overlooking trends identification as a pivotal driver and neglecting legal requirements. Our study clarifies AI implementation within SMEs, offering a holistic and theoretically grounded perspective to empower researchers and practitioners to facilitate more effective adoption and application of AI within the SME sector.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This staged adoption perspective is particularly pertinent for SMEs in resource-constrained developing economies, where incremental AI adoption strategies help manage risks and gradually build their capabilities (Schwaeke et al., 2024).”
From Artificial Intelligence Adoption for Sustainable Development in SMEs: Challenges, Strategic Pathways, and Lessons for Developing Economies (2026) · cites this paper as Schwaeke et al., 2024
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
RETRACTED ARTICLE: Small and medium-sized enterprises' contribution in digital technology
Bagale, G. S., Vandadi, V. R., Singh, D. R., Sharma, D. K., Garlapati, D. V. K., Bommisetti, R. K., Gupta, R. K., Setsiawan, R., Subramaniyaswamy, V., & Sengan, S. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04235-5 · Cited by 102
RetractedUser Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
The correlates of entrepreneurship in three types of firms
Miller, D. (1983) · Management Science · doi:10.1287/mnsc.29.7.770 · Cited by 5,853
Recent advances in augmented reality
Azuma, R. T., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001) · IEEE Computer Graphics and Applications · doi:10.1109/38.963459 · Cited by 4,170
That ‘Internet of Things’ Thing
Ashton, K. J. (1999) · Medical Entomology and Zoology · Cited by 2,581
Drazin, R. (1991) · The Journal of Technology Transfer · doi:10.1007/bf02371446 · Cited by 2,122
processes of technological innovation
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. (1990) · Cited by 1,834
Literature reviews as independent studies: guidelines for academic practice
Kraus, S., Breier, M., Lim, W. M., Dabić, M., Kumar, S., Kanbach, D. K., Mukherjee, D., Corvello, V., Chousa, J. P., Liguori, E. W., et al. (2022) · Review of Managerial Science · doi:10.1007/s11846-022-00588-8 · Cited by 1,392
Self-citationInternational Entrepreneurship research (1989–2009): A domain ontology and thematic analysis
Jones, M. V., Coviello, N. E., & Tang, Y. K. (2011) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2011.04.001 · Cited by 1,297
The Technology–Organization–Environment Framework
Baker, J. (2012) · Integrated Series in Information Systems · doi:10.1007/978-1-4419-6108-2_12 · Cited by 1,275
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., et al. (2023) · Human Resource Management Journal · doi:10.1111/1748-8583.12524 · Cited by 908 · cited 2×
“AI has rapidly transformed the world and impacted all areas of business functionality (Budhwar et al., 2023).”
ZHU, K., KRAEMER, K. L., & DEDRICK, J. (2004) · Journal of Management Information Systems · doi:10.1080/07421222.2004.11045797 · Cited by 775
Treiblmaier, H. (2018) · Supply Chain Management · doi:10.1108/scm-01-2018-0029 · Cited by 737
How to design bibliometric research: an overview and a framework proposal
Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024) · Review of Managerial Science · doi:10.1007/s11846-024-00738-0 · Cited by 737
Self-citationThe limitations of online surveys
Andrade, C. (2020) · Indian Journal of Psychological Medicine · doi:10.1177/0253717620957496 · Cited by 618
Digital transformation of business
Schwertner, K. (2017) · Trakia Journal of Sciences · doi:10.15547/tjs.2017.s.01.065 · Cited by 562
Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs
Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2020) · International Journal of Production Research · doi:10.1080/00207543.2019.1636323 · Cited by 515
Sauer, P., & Seuring, S. (2023) · Reviews of Management Sciences · doi:10.1007/s11846-023-00668-3 · Cited by 514
Denicolai, S., Zucchella, A., & Magnani, G. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120650 · Cited by 509
Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review
Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.104 · Cited by 489
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey
Hansen, E. B., & Bøgh, S. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.08.009 · Cited by 442
Hofmann, P., Samp, C., & Urbach, N. (2019) · Electronic Markets · doi:10.1007/s12525-019-00365-8 · Cited by 400
Financing SMEs and entrepreneurs 2012 : an OECD scoreboard
Koreen, M. (2012) · Cited by 342
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
The drivers of SME innovation in the regions of the EU
Hervás-Oliver, J.-L., Parrilli, M. D., Rodríguez‐Pose, A., & Sempere-Ripoll, F. (2021) · Research Policy · doi:10.1016/j.respol.2021.104316 · Cited by 309
SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices
Baabdullah, A. M., Alalwan, A. A., Slade, E. L., Raman, R., & Khatatneh, K. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.09.003 · Cited by 294
Giuggioli, G., & Pellegrini, M. (2022) · International Journal of Entrepreneurial Behavior & Research · doi:10.1108/ijebr-05-2021-0426 · Cited by 278
Nguyen, T. H., Le, X. C., & Vu, T. H. L. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8040200 · Cited by 261
Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2023) · Journal of Entrepreneurship in Emerging Economies · doi:10.1108/jeee-07-2022-0207 · Cited by 260
External technology acquisition and firm performance: A longitudinal study
Tsai, K., & Wang, J.-C. (2007) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2005.07.002 · Cited by 255
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Basile, G. (2021) · Journal of strategy and management · doi:10.1108/jsma-02-2021-0049 · Cited by 239
A systematic literature review on SME financing: Trends and future directions
Ps, R., Kumar, S., Chavan, M., & Lim, W. M. (2021) · Journal of Small Business Management · doi:10.1080/00472778.2021.1955123 · Cited by 236
Expectation–Confirmation Theory in Information System Research: A Review and Analysis
Hossain, M. A., & Quaddus, M. (2011) · Integrated series on information systems/Integrated series in information systems · doi:10.1007/978-1-4419-6108-2_21 · Cited by 229
Zhang, D., Pee, L. G., & Cui, L. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102304 · Cited by 228 · cited 1×
“In particular, AI enhances efficiency in automating processes, creating innovative insights, engaging with stakeholders, and providing an improved customer experience (Zhang et al., 2021).”
Social Media: A Tool for Open Innovation
Mount, M. P., & Martínez, M. G. (2014) · California Management Review · doi:10.1525/cmr.2014.56.4.124 · Cited by 217
Problems and Limitations in Conducting Systematic Reviews
Egger, M., Dickersin, K., & Smith, G. D. (2001) · Wiley eBooks · doi:10.1002/9780470693926.ch3 · Cited by 214
Khan, A. A., Laghari, A. A., Li, P., Dootio, M. A., & Karim, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-28707-9 · Cited by 208
Kraus, S., Bouncken, R. B., & Aránega, A. Y. (2024) · Review of Managerial Science · doi:10.1007/s11846-024-00729-1 · Cited by 187
Self-citationDeepa, R., Sekar, S., Malik, A., Kumar, J., & Attri, R. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123301 · Cited by 184
Nagy, M., Lăzăroiu, G., & Valášková, K. (2023) · Applied Sciences · doi:10.3390/app13031681 · Cited by 182
Drydakis, N. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10249-6 · Cited by 180
The importance of literature reviews in small business and entrepreneurship research
Kraus, S., Mahto, R. V., & Walsh, S. T. (2021) · Journal of Small Business Management · doi:10.1080/00472778.2021.1955128 · Cited by 176
Self-citationEnablers of artificial intelligence adoption and implementation in production systems
Merhi, M. I., & Harfouche, A. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2167014 · Cited by 174
El-Haddadeh, R. (2019) · Information Systems Frontiers · doi:10.1007/s10796-019-09912-2 · Cited by 169
Small and medium enterprises: A cross-country analysis with a new data set
Ardıç, O. P., Mylenko, N., & Saltane, V. (2011) · doi:10.1596/1813-9450-5538 · Cited by 165
Artificial intelligence and radical innovation: an opportunity for all companies?
Grashof, N., & Kopka, A. (2022) · Small Business Economics · doi:10.1007/s11187-022-00698-3 · Cited by 162
Open innovation in SMEs: A process view towards business model innovation
Albats, E., Podmetina, D., & Vanhaverbeke, W. P. M. (2021) · Journal of Small Business Management · doi:10.1080/00472778.2021.1913595 · Cited by 162
Faqihi, A. Y. A., & Miah, S. J. (2023) · Journal of risk and financial management · doi:10.3390/jrfm16010031 · Cited by 151
Polas, M. R. H., Jahanshahi, A. A., Kabir, A. I., Sohel‐Uz‐Zaman, A. S. M., Osman, A., & Karim, R. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8030168 · Cited by 134
Artificial intelligence in fiction: between narratives and metaphors
Hermann, I. (2023) · AI & SOCIETY · doi:10.1007/s00146-021-01299-6 · Cited by 134
Wang, K.-L., Sun, T.-T., & Xu, R.-Y. (2022) · Economic Change and Restructuring · doi:10.1007/s10644-022-09467-4 · Cited by 129
What Determines AI Adoption in Companies? Mixed-Method Evidence
Polisetty, A., Chakraborty, D., G, S., Kar, A. K., & Pahari, S. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2023.2219668 · Cited by 128
Adaptive practices in SMEs: leveraging dynamic capabilities for strategic adaptation
Quansah, E., Hartz, D. E., & Salipante, P. F. (2022) · Journal of Small Business and Enterprise Development · doi:10.1108/jsbed-07-2021-0269 · Cited by 125
An AI Adoption Model for SMEs: A Conceptual Framework
Bettoni, A., Matteri, D., Montini, E., Gładysz, B., & Carpanzano, E. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.08.082 · Cited by 124
A Sandbox Approach to Regulating High-Risk Artificial Intelligence Applications
Truby, J., Brown, R. D., Ibrahim, I. A., & Parellada, O. C. (2021) · European Journal of Risk Regulation · doi:10.1017/err.2021.52 · Cited by 124
Stakeholder management in SME open innovation: interdependences and strategic actions
Albats, E., Alexander, A. T., Mahdad, M., Miller, K., & Post, G. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.07.038 · Cited by 120
Lu, X., Wijayaratna, K., Huang, Y., & Qiu, A. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.885067 · Cited by 112
Sustainable Skills for the World of Work in the Digital Age
Sousa, M. J., & Wilks, D. C. (2018) · Systems Research and Behavioral Science · doi:10.1002/sres.2540 · Cited by 108
Usage and Impact of Artificial Intelligence on Accounting: 213 Evidence from Malaysian Organisations
Lee, C. S., & Tajudeen, F. P. (2020) · Asian Journal of Business and Accounting · doi:10.22452/ajba.vol13no1.8 · Cited by 107
Sarwar, Z., Gao, J., & Khan, A. U. (2023) · Asia Pacific Journal of Management · doi:10.1007/s10490-023-09879-4 · Cited by 107
Serial entrepreneurs: A review of literature and guidance for future research
Dabić, M., Vlačić, B., Kiessling, T. S., Caputo, A., & Pellegrini, M. M. (2021) · Journal of Small Business Management · doi:10.1080/00472778.2021.1969657 · Cited by 106
Teerasoponpong, S., & Sopadang, A. (2021) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2021.102226 · Cited by 105
Chen, J., Lim, C. P., Tan, K. H., Govindan, K., & Kumar, A. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04373-w · Cited by 104
Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data
Zhang, W., Yan, S., Li, J., Tian, X., & Yoshida, T. (2022) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2022.102611 · Cited by 103
Drivers of SME performance: a holistic and multivariate approach
Ipinnaiye, O., Dineen, D., & Lenihan, H. (2016) · Small Business Economics · doi:10.1007/s11187-016-9819-5 · Cited by 101
Fonseka, K., Jaharadak, A. A., & Raman, M. (2022) · International Journal of Social Economics · doi:10.1108/ijse-12-2021-0752 · Cited by 99
Delen, D., Zaim, H., Kuzey, C., & Zaim, S. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.040 · Cited by 91
Rizomyliotis, I., Kastanakis, M. N., Giovanis, A., Konstantoulaki, K., & Kostopoulos, I. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.035 · Cited by 85
Schönberger, M. (2023) · Journal of Business Management · doi:10.32025/jbm23004 · Cited by 82
Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward
Chaudhuri, R., Chatterjee, S., Vrontis, D., & Chaudhuri, S. (2022) · Sustainability · doi:10.3390/su141912760 · Cited by 80
Achieving SME performance through individual entrepreneurial orientation
Fatima, T., & Bilal, A. R. (2019) · Journal of Entrepreneurship in Emerging Economies · doi:10.1108/jeee-03-2019-0037 · Cited by 79
A Taxonomy on Influencing Factors Towards Digital Transformation in SMEs
Dörr, L., Fliege, K., Lehmann, C., Kanbach, D. K., & Kraus, S. (2023) · Journal of Small Business Strategy · doi:10.53703/001c.66283 · Cited by 79
Self-citationKucharska, W., & Bedford, D. (2020) · Journal of Organizational Change Management · doi:10.1108/jocm-02-2020-0052 · Cited by 78
Hwang, W., & Kim, H.-S. (2021) · Small Business Economics · doi:10.1007/s11187-021-00554-w · Cited by 78
Calabrese, A., Costa, R. M. D. S., Tiburzi, L., & Brem, A. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122265 · Cited by 78
Impact of robotics on manufacturing: A longitudinal machine learning perspective
Ballestar, M. T., Díaz-Chao, Á., Sáinz, J., & Torrent‐Sellens, J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120348 · Cited by 77
Rawashdeh, A., Bakhit, M., & Abaalkhail, L. (2022) · International Journal of Data and Network Science · doi:10.5267/j.ijdns.2022.12.010 · Cited by 76
Lemos, S. I. C., Ferreira, F. A. F., Zopounidis, C., Galariotis, E., & Ferreira, N. C. M. Q. F. (2022) · Annals of Operations Research · doi:10.1007/s10479-022-05159-4 · Cited by 76
Drivers of internationalization success: a conjoint choice experiment on German SME managers
Kraus, S., Mitter, C., Eggers, F., & Stieg, P. (2016) · Review of Managerial Science · doi:10.1007/s11846-016-0201-4 · Cited by 75
Self-citationWang, J., Lu, Y., Fan, S., Hu, P., & Wang, B. (2021) · International Journal of Emerging Markets · doi:10.1108/ijoem-06-2021-0985 · Cited by 73
Barata, S. F. P. G., Ferreira, F. A. F., Carayannis, E. G., & Ferreira, J. J. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3269601 · Cited by 69
Knowledge-based tool for planning of enterprise resources in ASEAN SMEs
Huin, S. F., Luong, L. H. S., & Abhary, K. (2003) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/s0736-5845(02)00033-9 · Cited by 67
Khan, R. U., Richardson, C., & Salamzadeh, Y. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122047 · Cited by 64
von Garrel, J., & Jahn, C. (2022) · Journal of the Knowledge Economy · doi:10.1007/s13132-022-01003-z · Cited by 63
Kim, J.-S., & Seo, D. (2023) · foresight · doi:10.1108/fs-06-2022-0069 · Cited by 60
SME Internationalization and Export Performance: A Systematic Review with Bibliometric Analysis
Calheiros-Lobo, N., Ferreira, J. V., & Au‐Yong‐Oliveira, M. (2023) · Sustainability · doi:10.3390/su15118473 · Cited by 59
Abrokwah-Larbi, K. (2023) · African Journal of Economic and Management Studies · doi:10.1108/ajems-04-2022-0167 · Cited by 58
Strategic adaptation: leadership lessons for small business survival and success
Quansah, E., & Hartz, D. E. (2021) · American Journal of Business · doi:10.1108/ajb-07-2020-0096 · Cited by 58
Technology, innovation and SMEs' export intensity: Evidence from Morocco
Haddoud, M. Y., Kock, N., Onjewu, A.-K. E., Jafari‐Sadeghi, V., & Jones, P. K. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122475 · Cited by 58
Self-citationLu, Q., Zhou, Y., Luan, Z., & Song, H. Z. (2023) · International Journal of Operations & Production Management · doi:10.1108/ijopm-10-2022-0684 · Cited by 58
Korherr, P., Kanbach, D. K., Kraus, S., & Jones, P. K. (2022) · Journal of Decision System · doi:10.1080/12460125.2022.2062848 · Cited by 54
Self-citationPredicting the performance of MSMEs: a hybrid DEA-machine learning approach
Boubaker, S., Le, T., Ngo, T., & Manita, R. (2023) · Annals of Operations Research · doi:10.1007/s10479-023-05230-8 · Cited by 53
Hoang, T. G., & Bui, M. L. (2023) · Journal of Enterprise Information Management · doi:10.1108/jeim-01-2022-0037 · Cited by 52
Camacho‐Miñano, M., Vargas, M. J. S., & Pascual‐Ezama, D. (2013) · Journal of Small Business Management · doi:10.1111/jsbm.12076 · Cited by 52
Analysis of the Risk Impact of Implementing Digital Innovations for Logistics Management
Barczak, A., Dembińska, I., & Marzantowicz, Ł. (2019) · Processes · doi:10.3390/pr7110815 · Cited by 51
Christen, T., Heß, M., Grichnik, D., & Wincent, J. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.07.042 · Cited by 49
What drives MLOps adoption? An analysis using the TOE framework
Das, S. D., & Bala, P. K. (2023) · Journal of Decision System · doi:10.1080/12460125.2023.2214306 · Cited by 48
Lv, D. D., Zeng, P., & Lan, H. (2018) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2018.02.001 · Cited by 48
Siahaan, D. T., & Tan, C. S. L. (2022) · Asian Journal of Business Research · doi:10.14707/ajbr.220125 · Cited by 48
Diffusion of innovations, by Everett Rogers (1995)
Ncube, B. (2003) · Cited by 45
Hermawati, A., & Gunawan, E. (2020) · VINE Journal of Information and Knowledge Management Systems · doi:10.1108/vjikms-08-2019-0121 · Cited by 44
Venkateswarlu, Y., Baskar, K., Anupong, W., Shankar, V. G., Carranza, C. P. M., Gonzáles, J. L. A., & Dharan, A. R. M. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/4948947 · Cited by 40
INDUSTRY 4.0 AND 5.0 – ORGANIZATIONAL AND COMPETENCY CHALLENGES OF ENTERPRISES
Kemendi, Á., Michelberger, P., & Mesjasz-Lech, A. (2022) · Polish Journal of Management Studies · doi:10.17512/pjms.2022.26.2.13 · Cited by 40
Gübitz, B., Schnedl, H., & Khinast, J. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.089 · Cited by 34
Lead user innovation and entrepreneurship: Analyzing the current state of research
Escobar, O., Schiavone, F., Khvatova, T., & Maâlaoui, A. (2021) · Journal of Small Business Management · doi:10.1080/00472778.2021.1955126 · Cited by 32
Beerbaum, D. O. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3834205 · Cited by 32
Innovative Technologies and Small-Medium Sized Enterprises in Times of Crisis
Ameen, N., Choudrie, J., Jones, P. K., & Anand, A. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10353-7 · Cited by 32
Self-citationArtificial intelligence and auditing in small‐ and medium‐sized firms: Expectations and applications
Ríkharðsson, P., Þórisson, K. R., Bergthorsson, G., & Batt, C. (2022) · AI Magazine · doi:10.1002/aaai.12066 · Cited by 31
Robotic Process Automation: Hype or Hope?
Hindel, J., Cabrera, L. M., & Stierle, M. (2020) · doi:10.30844/wi_2020_r6-hindel · Cited by 31
Unrealistic Optimism Regarding Artificial Intelligence Opportunities in Human Resource Management
Weber, P. (2023) · International Journal of Knowledge Management · doi:10.4018/ijkm.317217 · Cited by 31
Barton, R., & Thomas, A. J. (2009) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2008.10.016 · Cited by 30
Mobile payment adoption: a multi-theory model, multi-method approach and multi-country study
Khan, N. A., Khan, A., Bahadur, W., & Ali, M. (2021) · International Journal of Mobile Communications · doi:10.1504/ijmc.2021.116119 · Cited by 29
Ma, Z., Wang, X., & Hao, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119373 · Cited by 27
Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs
Choudrie, J., Manandhar, N., Rodriguez, C. F. C., & Chike-Obuekwe, C. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122375 · Cited by 22
Jun, S., Yoo, H. S., & Hwang, J. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120871 · Cited by 21
Gender Bias in Artificial Intelligence
de Lima, R. M., Pisker, B., & Corrêa, V. S. (2023) · Journal of Telecommunications and the Digital Economy · doi:10.18080/jtde.v11n2.690 · Cited by 21
Merkel-Kiss, M., & von Garrel, J. (2022) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-022-00323-9 · Cited by 20
A machine learning method to predict the technology adoption of blockchain in Palestinian firms
Hamdan, I. K. A., Aziguli, W., Zhang, D., Sumarliah, E., & Fauziyah, F. (2021) · International Journal of Emerging Markets · doi:10.1108/ijoem-05-2021-0769 · Cited by 19
Turcu, C. E., & Turcu, C. O. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0121210 · Cited by 19
Research on enterprise business model and technology innovation based on artificial intelligence
Qu, S., Shi, H., Zhao, H., Yu, L., & Yu, Y. (2021) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-021-02025-y · Cited by 19
Predicting Business Innovation Intention Based on Perceived Barriers: A Machine Learning Approach
Rojas-Córdova, C., Heredia-Rojas, B., & Ramírez-Correa, P. (2020) · Symmetry · doi:10.3390/sym12091381 · Cited by 17
The Role of Data-Driven Solutions for SMEs in Responding to COVID-19
Almeida, F. L., & Wasim, J. (2022) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877023500013 · Cited by 16
Simulation of the Environmental Impact of Industries in Smart Cities
Ragab, A., Osama, A., & Ramzy, A. (2023) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2022.102103 · Cited by 16
Industry 4.0 — policy-based approaches to efficient implementation in SMEs
Łabędzka, J. (2021) · Engineering Management in Production and Services · doi:10.2478/emj-2021-0032 · Cited by 14
Njoku, C., Green, S. A., Sathyamoorthy, G., Patel, N., & POTTS, H. W. W. (2023) · Digital Health · doi:10.1177/20552076231173303 · Cited by 14
Cho, I., & Ju, Y. H. (2023) · World Patent Information · doi:10.1016/j.wpi.2023.102212 · Cited by 13
Pelekamoyo, J. K., & Libati, H. M. (2023) · Measurement and Control · doi:10.1177/00202940231186675 · Cited by 11
Current state and prediction of the future of digitization as a part of Industry 4.0
Zaušková, A., Kusá, A., Kubovics, M., Ščepková, S., & Urmínová, M. (2022) · Serbian Journal of Management · doi:10.5937/sjm17-36468 · Cited by 10
Artificial Intelligence Adoption Among Nepalese Industries
Devkota, N., Paudel, R., Parajuli, S., Paudel, U. R., & Bhandari, U. (2022) · Advances in electronic government, digital divide, and regional development book series · doi:10.4018/978-1-7998-9609-8.ch012 · Cited by 8
On the Track to Application Architectures in Public Transport Service Companies
Jüngling, S., Fetai, I., Rogger, A., Morandi, D., & Peraic, M. (2022) · Applied Sciences · doi:10.3390/app12126073 · Cited by 7
REGULATORY SANDBOXES UNDER THE DRAFT EU ARTIFICIAL INTELLIGENCE ACT: AN OPPORTUNITY FOR SMES?
Poščić, A., & Martinović, A. (2023) · InterEULawEast journal for the international and european law economics and market integrations · doi:10.22598/iele.2022.9.2.3 · Cited by 6
Quality improvement in retail-distribution of Saudi thobe using six-sigma
Abualsauod, E. H. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-02-2023-0091 · Cited by 4
Enhancing decision making with machine learning: The case of aurora crowdlending platform
Jutasompakorn, P., Perdana, A., & Balachandran, V. (2022) · Journal of Information Technology Teaching Cases · doi:10.1177/20438869211060847 · Cited by 4
Salmen, A. (2022) · Acta academica karviniensia · doi:10.25142/aak.2022.017 · Cited by 4
European Union Regulatory Framework on Artificial Intelligence (SMEs)
Манчева, Г. (2022) · JOURNAL OF DEVELOPMENT STUDIES · doi:10.52340/jds.2021.03 · Cited by 3
Befähigung von KMU zur Nutzung von Machine-Learning-Potenzialen
Savadogo, M., & Stonis, M. (2023) · Zeitschrift für wirtschaftlichen Fabrikbetrieb · doi:10.1515/zwf-2023-1053 · Cited by 3
Leveraging artificial intelligence and Big Data to unlock the potential in bespoke SME lending
Hunter, S. (2019) · Journal of digital banking. · doi:10.69554/lfut1901 · Cited by 2
How software developers instigated the transformation of management
Denning, S. (2020) · Strategy and Leadership · doi:10.1108/sl-02-2020-0029 · Cited by 1
TOE Model Analysis for AI Vision Open API
Jang, H.-H., Phuong, H. T., Vo, T.-T.-T., & Gim, G.-Y. (2022) · International Journal of Software Innovation · doi:10.4018/ijsi.297509 · Cited by 1
Research works printed but not linked: 10
- Babucea, A. G., & Rabontu, C. I. (2022). Big data analytics in the context of business enterprises “constantin Brâncuşi” din târgu-jiu seria economie. In C.-E. Stegaroiu & C. Enea (Eds.), Economy series. Analele Universităţii. Annals of “constantin brancusi” (Vol. 1, pp. 67–74). University of Targu-Jiu.
- bin Ahmad, A. M., Masri, R. B., & Lee, C. A. (2019). Future challenges to the entrepreneur in relation to the changing business environment. Global Business & Management Research, 11(2), 197–205.
- Dedhia, S. (2021). Impact of big data & analytics (BD&A) learning intentions with moderating effect of transformational leadership as SME perspective. Turkish Online Journal of Qualitative Inquiry, 12(7), 14015–14022.
- 10.1108/IJSE-12-2021-0752 · DOI
- 10.29302/oeconomica.2020.22.2.15 · DOI
- Koppel, T., & Tšernikova, O. (2023). Factors affecting the SME ability to enter the AI revolution. EUAS Conference Proceedings, Tallinn, Estonia. (p. 12).
- Lee, S. W., & Lee, H. S. (2014). A study of an integrated model for the introduction of a big data system: TOE. The Journal of the Korea Society of Information Technology Applications, 21(4), 463–483.
- Mittal, N., Saif, I., & Ammanath, B. (2022). Fueling the AI transformation: Four key actions powering widespread value from AI, right now. In Deloitte’s state of AI in the enterprise (5th [Report]. Retrieved August 20, 2023, from. https://www2.deloitte.com/content/dam/Deloitte/us/Documents/deloitte-analytics/us-ai-institute-state-of-ai-fifth-edition.pdf
- Whitson G. M. (2024). Artificial intelligence. Salem Press Encyclopedia of Science.
- Worek, M., & Aaltonen, P. (2023). AI adoption challenges in manufacturing family firms: Case study. Proceedings of the ISPIM Conferences (pp. 1–10), Ljubljana, Slovenia.
Cited by
Sorted by citations
Sánchez, E., Calderón, R., & Herrera, F. (2025) · Applied Sciences · doi:10.3390/app15126465 · Cited by 123
Ayinaddis, S. G. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100682 · Cited by 208
Jorzik, P., Antonio, J. L., Kanbach, D. K., Kallmuenzer, A., & Kraus, S. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123653 · Cited by 121
Self-citationBevilacqua, S., Masárová, J., Perotti, F. A., & Ferraris, A. (2025) · Review of Managerial Science · doi:10.1007/s11846-025-00836-7 · Cited by 139
Machucho-Cadena, R., & González, O. (2025) · Systems · doi:10.3390/systems13040264 · Cited by 120
Metadata
- Authors
- Schwaeke, J., Peters, A., Kanbach, D. K., Kraus, S., & Jones, P.
- Affiliations
- HHL Leipzig Graduate School of Management (DE)
- Free University of Bozen-Bolzano (IT)
- Swansea University (GB)
- Corresponding author
- Jones, Paul
- Venue
- Journal of Small Business Management
- Publisher
- Informa UK Limited
- Published
- 2024-08-13
- Volume
- 63
- Issue
- 3
- Pages
- 1297-1331
- ISSN
- 0047-2778 (ISSN-L)
- 1540-627X
- OpenAlex
- W4401536151
- Cited by
- 241
- References
- 144
- Citations by year
- 2026: 144 · 2025: 93 · 2024: 4
- FWCI
- 73.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Small Business Management (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- artificial intelligence adoption, small and medium-sized enterprises, technology-organization-environment framework, AI implementation, compatibility, infrastructure, knowledge, resources, organizational culture, competition, regulation, AI ecosystem, legal requirements
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review