Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Most companies are still in the very early stages of incorporating ML into their business processes.
“Most companies are still in the very early stages of incorporating ML into their business processes [46].”
From Operationalizing machine learning models: a systematic literature review (2022) · cites this paper as [46]
Cites
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727 · see citing works
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250 · see citing works
The second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,401 · see citing works
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226 · see citing works
Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772 · see citing works
Qualitative Content Analysis: Theoretical Background and Procedures
Mayring, P. (2014) · Advances in mathematics education · doi:10.1007/978-94-017-9181-6_13 · Cited by 2,349 · see citing works
Qualitative content analysis: theoretical foundation, basic procedures and software solution
Mayring, P. (2014) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · Cited by 2,173 · see citing works
Explaining Job Polarization: Routine-Biased Technological Change and Offshoring
Goos, M., Manning, A., & Salomons, A. (2014) · American Economic Review · doi:10.1257/aer.104.8.2509 · Cited by 2,111 · see citing works
The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms
Makridakis, S. (2017) · Futures · doi:10.1016/j.futures.2017.03.006 · Cited by 1,866 · see citing works
Ngai, E. W. T., Xiu, L., & Chau, D. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.02.021 · Cited by 1,267 · see citing works
An Introduction to Predictive Maintenance
Mobley, R. K. (2002) · Elsevier eBooks · doi:10.1016/b978-0-7506-7531-4.x5000-3 · Cited by 1,170 · see citing works
Araujo, T. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.051 · Cited by 1,156 · see citing works
What can machine learning do? Workforce implications
Brynjolfsson, E., & Mitchell, T. (2017) · Science · doi:10.1126/science.aap8062 · Cited by 1,131 · see citing works
Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?Preprint
Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1819486 · Cited by 842 · see citing works
“Service Encounter 2.0”: An investigation into the roles of technology, employees and customers
Larivière, B., Bowen, D., Andreassen, T. W., Kunz, W., Sirianni, N. J., Voss, C., Wünderlich, N. V., & De Keyser, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.03.008 · Cited by 779 · see citing works
Data quality management, data usage experience and acquisition intention of big data analytics
Kwon, O., Lee, N., & Shin, B. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.02.002 · Cited by 720 · see citing works
Rodrik, D. (2015) · National Bureau of Economic Research · doi:10.3386/w20935 · Cited by 700 · see citing works
A New Chatbot for Customer Service on Social Media
Xu, A., Liu, Z., Guo, Y., Sinha, V. S., & Akkiraju, R. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025496 · Cited by 589 · see citing works
Rise of the robots: technology and the threat of a jobless future
(2015) · Choice Reviews Online · doi:10.5860/choice.192294 · Cited by 578 · see citing works
A review of machine learning approaches to Spam filtering
Guzella, T., & Caminhas, W. M. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.02.037 · Cited by 542 · see citing works
Ranaweera, C., & Prabhu, J. C. (2003) · Journal of Targeting Measurement and Analysis for Marketing · doi:10.1057/palgrave.jt.5740100 · Cited by 462 · see citing works
Social commerce research: An integrated view
Zhou, L., Zhang, P., & Zimmermann, H. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.02.003 · Cited by 449 · see citing works
Intelligent Predictive Decision Support System for Condition-Based Maintenance
Yam, R. C. M., Tse, P. W.-T., Li, K. Y., & Tu, P. Y. L. (2001) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s001700170173 · Cited by 443 · see citing works
Neural networks in business: a survey of applications (1992–1998)
Vellido, A. (1999) · Expert Systems with Applications · doi:10.1016/s0957-4174(99)00016-0 · Cited by 428 · see citing works
Nemati, H., Steiger, D. M., Iyer, L., & Herschel, R. T. (2002) · Decision Support Systems · doi:10.1016/s0167-9236(01)00141-5 · Cited by 417 · see citing works
(2009) · Disaster Prevention and Management An International Journal · doi:10.1108/dpm.2009.07318cae.003 · Cited by 409 · see citing works
The Impacts of Robotics, Artificial Intelligence On Business and Economics
Dirican, C. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.06.134 · Cited by 402 · see citing works
information technology for management
Turban, leidner, lean, M., & wetherbe (2007) · Cited by 378 · see citing works
Ashton, R. H. (1990) · Journal of Accounting Research · doi:10.2307/2491253 · Cited by 342 · see citing works
Innovation, sustainable HRM and customer satisfaction
Wikhamn, W. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.04.009 · Cited by 337 · see citing works
Moro, S., Cortez, P. C., & Rita, P. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.09.024 · Cited by 330 · see citing works
Demystifying big data analytics for business intelligence through the Lens of marketing mix
Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.02.006 · Cited by 321 · see citing works
Technology usage, expected job sustainability, and perceived job insecurity
Nam, T. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.08.017 · Cited by 282 · see citing works
Liability for damages caused by artificial intelligence
Čerka, P., Grigienė, J., & Sirbikytė, G. (2015) · Computer law & security review · doi:10.1016/j.clsr.2015.03.008 · Cited by 217 · see citing works
Data mining for customer service support
Hui, S. C., & Jha, G. (2000) · Information & Management · doi:10.1016/s0378-7206(00)00051-3 · Cited by 192 · see citing works
Managing customer dissatisfaction through effective complaints management systems
Zairi, M. (2000) · The TQM Journal · doi:10.1108/09544780010341932 · Cited by 171 · see citing works
Poole, D., & Mackworth, A. K. (2017) · Cambridge University Press eBooks · doi:10.1017/9781108164085 · Cited by 164 · see citing works
Challenges of the Fourth Industrial Revolution
Prisecaru, P. (2016) · RePEc: Research Papers in Economics · Cited by 162 · see citing works
The state of electronic customer relationship management in retailing
Feinberg, R. A., Kadam, R., Hokama, L., & Kim, I. (2002) · International Journal of Retail & Distribution Management · doi:10.1108/09590550210445344 · Cited by 131 · see citing works
AI TOOLS IN DECISION MAKING SUPPORT SYSTEMS: A REVIEW
Phillips-Wren, G. E. (2012) · International Journal of Artificial Intelligence Tools · doi:10.1142/s0218213012400052 · Cited by 123 · see citing works
Bloom, J. Z. (2005) · Annals of Tourism Research · doi:10.1016/j.annals.2004.05.001 · Cited by 121 · see citing works
Mehta, N., & Devarakonda, M. V. (2018) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.02.025 · Cited by 118 · see citing works
An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour
Bahari, T. F., & Elayidom, M. S. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.02.136 · Cited by 117 · see citing works
A review about Smart Objects, Sensors, and Actuators
García, C. G., Meana-Llorián, D., G‐Bustelo, B. C. P., & Lovelle, J. M. C. (2016) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2017.431 · Cited by 117 · see citing works
Acceptance of innovations: The customer is the key!
Dunphy, S., & Herbig, P. A. (1995) · The Journal of High Technology Management Research · doi:10.1016/1047-8310(95)90014-4 · Cited by 104 · see citing works
Technical Change, Inequality, and the Labor Market
Acemoğlu, D. (2000) · National Bureau of Economic Research · doi:10.3386/w7800 · Cited by 102 · see citing works
Expert system applications in business: A review and analysis of the literature (1977–1993)
Wong, B. K., & Monaco, J. A. (1995) · Information & Management · doi:10.1016/0378-7206(95)00023-p · Cited by 82 · see citing works
Direct marketing decision support through predictive customer response modeling
Olson, D. L., & Chae, B. K. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.06.005 · Cited by 77 · see citing works
Real-time big data analytics for hard disk drive predictive maintenance
Su, C., & Huang, S.-F. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.07.025 · Cited by 74 · see citing works
Artificial Intelligence Applied to Project Success: A Literature Review
Rodriguez, J. C. F., & Martínez, D. M. (2015) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2015.3510 · Cited by 74 · see citing works
An expert system development tool for non AI experts
Ruíz‐Mezcua, B., García-Crespo, Á., López-Cuadrado, J. L., & González‐Carrasco, I. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.07.009 · Cited by 55 · see citing works
Detecting sarcasm in customer tweets: an NLP based approach
Mukherjee, S., & Bala, P. K. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-06-2016-0207 · Cited by 43 · see citing works
Corea, F. (2017) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-319-51550-2 · Cited by 37 · see citing works
A longitudinal study of applicable decision aids for detailed tasks in a financial audit
Abdolmohammadi, M. J., & Usoff, C. A. (2001) · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management · doi:10.1002/isaf.204 · Cited by 36 · see citing works
Chatbots in der Kundenkommunikation
Braun, A. (2003) · Xpert.press · doi:10.1007/978-3-642-19021-6 · Cited by 26 · see citing works
An Analysis of Potential Legal Liability Incurred Through Audit Expert Systems
Sutton, S. G., Young, R., & McKenzie, P. (1995) · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management · doi:10.1002/j.1099-1174.1995.tb00091.x · Cited by 24 · see citing works
Expert systems: A survey of their use in UK business
Coakes, E. W., & Merchant, K. (1996) · Information & Management · doi:10.1016/s0378-7206(96)01054-3 · Cited by 21 · see citing works
Artificial Intelligence and Knowledge Management
Hoeschl, H. C., & Barcellos, V. (2006) · Springer eBooks · doi:10.1007/978-0-387-34747-9_2 · Cited by 19 · see citing works
Expert systems for small businesses
Torkzadeh, G., & Rao, S. S. (1988) · Information & Management · doi:10.1016/0378-7206(88)90048-1 · Cited by 11 · see citing works
An Intelligent Agent That Autonomously Learns How to Translate
Turchi, M., Bie, T. D., & Cristianini, N. (2009) · IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2009.120 · Cited by 7 · see citing works
How does an intelligent agent infer and translate?
Nassiri-Mofakham, F. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.019 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Responsible Artificial Intelligence Governance: A Review and Research Framework
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2024.101885 · Cited by 565 · see citing works
The acceptance of chatbots in an enterprise context – A survey study
Brachten, F., Kißmer, T., & Stieglitz, S. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102375 · Cited by 153 · see citing works
The critical determinants impacting artificial intelligence adoption at the organizational level
Horani, O., Al-Adwan, A., Yaseen, H., Hmoud, H. Y., Al-rahmi, W., & Alkhalifah, A. A. (2023) · Information Development · doi:10.1177/02666669231166889 · Cited by 162 · see citing works
Automation fears: Drivers and solutions
Ivanov, S. H., Kuyumdzhiev, M., & Webster, C. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101431 · Cited by 142 · see citing works
Thinking Skills Don’t Protect Service Workers from Replacement by Artificial Intelligence
Vorobeva, D., Fassi, Y. E., Pinto, D. C., Hildebrand, D. F. N., Herter, M. M., & Mattila, A. S. (2022) · Journal of Service Research · doi:10.1177/10946705221104312 · Cited by 128 · see citing works
Alhitmi, H. K., Mardiah, A., Al‐Sulaiti, K. I., & Abbas, J. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2393743 · Cited by 109 · see citing works
Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers
Tariq, M. U., Poulin, M., & Abonamah, A. A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.686624 · Cited by 106 · see citing works
Sharif, M. N., Zhang, L., Asif, M., Alshdaifat, S. M., & Hanaysha, J. R. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.104733 · Cited by 121 · see citing works
Enabling organizational use of artificial intelligence: an employee perspective
Dabbous, A., Barakat, K. A., & Sayegh, M. M. (2021) · Journal of Asia Business Studies · doi:10.1108/jabs-09-2020-0372 · Cited by 95 · see citing works
Kuguoglu, B. K., van der Voort, H., & Janssen, M. (2021) · Sustainability · doi:10.3390/su132112295 · Cited by 68 · see citing works
“Rogue machines” and crisis communication: When AI fails, how do companies publicly respond?
Prahl, A., & Pin, W. G. W. (2021) · Public Relations Review · doi:10.1016/j.pubrev.2021.102077 · Cited by 68 · see citing works
Gurjar, K., Jangra, A., Baber, H., Islam, M., & Sheikh, S. A. (2024) · IEEE Engineering Management Review · doi:10.1109/emr.2024.3355973 · Cited by 71 · see citing works
Blaming automated vehicles in difficult situations
Franklin, M., Awad, E., & Lagnado, D. (2021) · iScience · doi:10.1016/j.isci.2021.102252 · Cited by 47 · see citing works
Bobițan, N., Dumitrescu, D., Popa, A. F., Sahlian, D.-N., & Țurlea, I.-C. (2024) · Electronics · doi:10.3390/electronics13112198 · Cited by 56 · see citing works
Das, S., & Datta, B. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123241 · Cited by 44 · see citing works
Operationalizing machine learning models: a systematic literature review
Kolltveit, A. B., & Li, J. (2022) · Proceedings of the 1st Workshop on Software Engineering for Responsible AI · doi:10.1145/3526073.3527584 · Cited by 34 · see citing works
Pedro, D., Matos-Carvalho, J. P., Fonseca, J., & Mora, A. (2021) · Remote Sensing · doi:10.3390/rs13132643 · Cited by 32 · see citing works
Unveiling barriers and drivers of AI adoption for digital marketing in Malaysian SMEs
Enshassi, M., Nathan, R. J., Soekmawati, S., & Ismail, H. (2025) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2025.100519 · Cited by 52 · see citing works
Causal Framework of Artificial Autonomous Agent Responsibility
Franklin, M., Ashton, H., Awad, E., & Lagnado, D. (2022) · AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3514094.3534140 · Cited by 27 · see citing works
Supporting SME companies in mapping out AI potential: a Finnish AI development case
Jafarzadeh, P., Vähämäki, T., Nevalainen, P., Tuomisto, A., & Heikkonen, J. (2024) · The Journal of Technology Transfer · doi:10.1007/s10961-024-10122-5 · Cited by 14 · see citing works
Condé, L., & Münch, C. (2025) · Journal of Business Logistics · doi:10.1111/jbl.70032 · Cited by 17 · see citing works
Business Intelligence through Artificial Intelligence: A ReviewPreprint
Rane, N., Paramesha, M., Choudhary, S., & Rane, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4831916 · Cited by 12 · see citing works
Asrifan, A., Said, U. M. R., Jakob, J. C., & Wanci, R. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-8252-3.ch002 · Cited by 14 · see citing works
KEY COMPETENCES FOR THE ADOPTION OF AI-BASED INNOVATIONS IN ORGANISATIONS
Baumgartner, M., Horvat, D., Kinkel, S., & Kick, E. (2024) · International Journal of Innovation Management · doi:10.1142/s1363919624400024 · Cited by 12 · see citing works
Suwaidi, J. A., Aydın, R., Rashid, H. S., Hairunnas, H., & Louk, M. H. L. (2022) · International Conference on Industrial Engineering and Operations Management (IEOM) · doi:10.46254/eu05.20220308 · Cited by 10 · see citing works
Employee’s Attitude Towards Artificial Intelligence in the Indian Banking Sector
Dwivedi, A., & Kochhar, K. (2023) · International Journal of Professional Business Review · doi:10.26668/businessreview/2023.v8i11.4099 · Cited by 9 · see citing works
INFLUENCE OF ARTIFICIAL INTELLIGENCE ON BUSINESS DECISION-MAKING
Kubatko, O. V., Озімс, С., & Вороненко, В. (2024) · Mechanism of an economic regulation · doi:10.32782/mer.2024.103.03 · Cited by 9 · see citing works
Raees, M., Khan, V.-J., & Papangelis, K. (2025) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3699682.3728320 · Cited by 8 · see citing works
Li, Z., Wu, C., Li, J., & Yuan, Q. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-05-2024-0427 · Cited by 8 · see citing works
UX Challenges in Implementing an Interactive B2B Customer Segmentation Tool
Raees, M., Khan, V.-J., & Papangelis, K. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3706687 · Cited by 7 · see citing works
Malik, S., Garg, M., Thomas, A., Cillo, V., & Giudice, M. D. (2025) · Business Process Management Journal · doi:10.1108/bpmj-09-2024-0886 · Cited by 9 · see citing works
Mind over machine: A bibliometric journey into investor perceptions of AI in stock markets
Phan, T. A., Tran, H. P., Ninh, T. T., & Nguyễn, H. K. (2026) · Strategic Business Research · doi:10.1016/j.sbr.2026.100115 · Cited by 7 · see citing works
Investigating the Potential of AutoML as an Instrument for Fostering AI Adoption in SMEs
Olsowski, S., Schlögl, S., Richter, E., & Bernsteiner, R. C. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-07920-7_28 · Cited by 7 · see citing works
Self-citationMartijn, G., van Hooijdonk, C. M. J., Kunneman, F., & Hoeken, H. (2023) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877024500287 · Cited by 5 · see citing works
Implementing Automation and AI in Small Businesses
Lead Management Consultant, S. C. &. A., & Sharma, S. (2023) · CSMFL Publications eBooks · doi:10.46679/978819573223403 · Cited by 4 · see citing works
Goldfeder, J., & Sipple, J. (2024) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3671127.3699535 · Cited by 4 · see citing works
Automation fears: drivers and solutionsPreprint
Ivanov, S. H., Kuyumdzhiev, M., & Webster, C. (2020) · doi:10.31235/osf.io/jze3u · Cited by 4 · see citing works
Digitalized and decarbonized: Navigating AI-enabled supply chains into the future with industry 5.0
Azmat, M., Yaqzan, S., Mokhtar, N. B., & Nazir, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33813-7.00006-3 · Cited by 3 · see citing works
Yi, S., Choi, J., & Kim, G. (2024) · Information Development · doi:10.1177/02666669241276427 · Cited by 3 · see citing works
Privacy concerns toward AI-based intelligent voice assistants in the workplace
Jackson, S. (2025) · Digital Policy Regulation and Governance · doi:10.1108/dprg-03-2025-0066 · Cited by 2 · see citing works
Analyzing the Effects of a Human-in-the-Loop Candidate Recommendation Algorithm at Jobindex
Kaya, M., & Bogers, T. (2026) · ACM Transactions on Recommender Systems · doi:10.1145/3801092 · Cited by 2 · see citing works
Machine Learning Operations: A Mapping Study
Chakraborty, A., Das, S., & Gary, K. A. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-86644-9_1 · Cited by 5 · see citing works
Small Businesses Development in Ukraine’s Territorial Communities in the Post-War Period
Balan, O., Shepel, M., & Garri, M. (2023) · Экономика: реалии времени · doi:10.15276/etr.05.2023.2 · Cited by 1 · see citing works
Balan, O., Garri, M., Shepel, M., & Balan, A. (2023) · IEEE KhPI Week on Advanced Technology (KhPIWeek) · doi:10.1109/khpiweek61412.2023.10312872
AI Technology Utilization Mapping for Small Medium Enterprises: An E-commerce Perspective
Zhu, T., & Rozan, M. Z. A. (2024) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v14-i12/24152
AI Adoption in Retail Banking: Employees Talent Innovation View.Preprint
Homayssi, B. E. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5372797
Towards Enabling Privacy-First AI Solutions for SMES Using Open-Source LLMS
Hynninen, T., & Maunula, S. (2025) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro65660.2025.11131816
Methoden-Toolkit für den KI-Change-Prozess aus dem Forschungsprojekt KI_eeper
Ottersböck, N., Urban, I., & Reyes, C. C. (2025) · Ifaa-Edition · doi:10.1007/978-3-662-71591-8_4
Ogunade, T. V., Ikuabe, M. O., Ogungbe, M. A., & Aigbavboa, C. O. (2026) · Lecture notes in civil engineering · doi:10.1007/978-981-95-8489-5_44
Facilitating AI Acceptance in SMEs: Exploring the End-User Perspective
Oldemeyer, L., Jede, A., & Teuteberg, F. (2026) · Journal of Small Business Strategy · doi:10.53703/001c.163481 · Cited by 1 · see citing works
Exploring paradoxical barriers to AI adoption through the TOE framework
Shahzad, F., Aqeel, M., Arslan, A., & Hurmelinna-Laukkanen, P. (2026) · Small Enterprise Research · doi:10.1080/13215906.2026.2701701
- Authors
- Schlögl, S., Postulka, C., Bernsteiner, R., & Ploder, C.
- Affiliations
- Management Center Innsbruck (AT)
- Corresponding author
- Schlögl, Stephan
- Venue
- Communications in Computer and Information Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 259-270
- ISSN
- 1865-0929 (ISSN-L)
- 1865-0937
- OpenAlex
- W2949672956
- Cited by
- 52
- References
- 61
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 12 · 2023: 7 · 2022: 5 · 2021: 7 · 2020: 2
- FWCI
- 5.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Communications in computer and information science (publishedVersion)
- 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 › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- artificial intelligence adoption, machine learning tools, employee attitudes toward AI, fear of job loss, data privacy, AI ethics, automation, process efficiency, competitive advantage, European firms
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