How to cite this paper
Adwan, A. (2024). Can companies in digital marketing benefit from artificial intelligence in content creation?.International Journal of Data and Network Science, 8(2), 797-808.
Refrences
Adwan, A., & Aladwan, R. (2022). Use of artificial intelligence system to predict consumers’ behaviors. International Journal of Data and Network Science, 6(4), 1223-1232.
Aizenberg, E., & van den Hoven, J. (2020). Designing for human rights in AI. Big Data & Society, 7(2), 205395172094956. https://doi.org/10.1177/2053951720949566
Al Adwan, A., Kokash, H., Al Adwan, R., & Khattak, A. (2023). Data analytics in digital marketing for tracking the effec-tiveness of campaigns and inform strategy. International Journal of Data and Network Science, 7(2), 563–574.
Alaql, A. A., AlQurashi, F., & Mehmood, R. (2023). Data-Driven Deep Journalism to Discover Age Dynamics in Multi-Generational Labour Markets from LinkedIn Media. Journalism and Media, 4(1), 120–145. https://doi.org/10.3390/journalmedia4010010
Amato, G., Behrmann, M., Bimbot, F., Garcia, A., & Geurts, J. (2019). AI in the media and creative industries. ArXiv Pre-print ArXiv:1905.04175. https://doi.org/10.48550/arXiv.1905.04175
Amir-Behghadami, M., & Janati, A. (2020). Population, Intervention, Comparison, Outcomes and Study (PICOS) design as a framework to formulate eligibility criteria in systematic reviews. Emergency Medicine Journal, 37(6), 387–387. https://doi.org/10.1136/emermed-2020-209567
Anantrasirichai, N., & Bull, D. (2021). Artificial intelligence in the creative industries: a review. Artificial Intelligence Review, 55(1). https://doi.org/10.1007/s10462-021-10039-7
Boukhari, M. (2021). The Impact of Artificial Intelligence on the B2B Sales Funnel. Www.theseus.fi. https://urn.fi/URN:NBN:fi:amk-2021112220985
Brozek, J. L., Canelo-Aybar, C., Akl, E. A., Bowen, J. M., Bucher, J., Chiu, W. A., Cronin, M., Djulbegovic, B., Falavigna, M., Guyatt, G. H., Gordon, A. A., Hilton Boon, M., Hutubessy, R. C. W., Joore, M. A., Katikireddi, V., LaKind, J., Langendam, M., Manja, V., Magnuson, K., & Mathioudakis, A. G. (2021). GRADE Guidelines 30: the GRADE ap-proach to assessing the certainty of modeled evidence—An overview in the context of health decision-making. Jour-nal of Clinical Epidemiology, 129, 138–150. https://doi.org/10.1016/j.jclinepi.2020.09.018
Campbell, C., Sands, S., Ferraro, C., Tsao, H.-Y. (Jody), & Mavrommatis, A. (2020). From data to action: How mar-keters can leverage AI. Business Horizons, 63(2), 227–243. https://doi.org/10.1016/j.bushor.2019.12.002
Cetinic, E., & She, J. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multi-media Computing, Communications, and Applications, 18(2), 1–22. https://doi.org/10.1145/3475799
Chan-Olmsted, S. M. (2019). A Review of Artificial Intelligence Adoptions in the Media Industry. International Journal on Media Management, 21(3-4), 193–215. https://doi.org/10.1080/14241277.2019.1695619
Chintalapati, S., & Pandey, S. K. (2021). Artificial Intelligence in Marketing: A systematic literature review. Interna-tional Journal of Market Research, 64(1), 38–68. https://doi.org/10.1177/14707853211018428
Choudrie, J., Manandhar, N., Castro, C., & Obuekwe, C. (2023). Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs. Technological Forecasting and Social Change, 189, 122375. https://doi.org/10.1016/j.techfore.2023.122375
Correia, A.-P., Liu, C., & Xu, F. (2020). Evaluating videoconferencing systems for the quality of the educational ex-perience. Distance Education, 41(4), 429–452. https://doi.org/10.1080/01587919.2020.1821607
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How Artificial Intelligence Will Change the Future of Mar-keting. Journal of the Academy of Marketing Science, 48(1), 24–42. Springer. https://doi.org/10.1007/s11747-019-00696-0
de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L., Pessin, G., De Doncker, G., & Federizzi, G. (2020). Intelligent personal assistants: A systematic literature review. Expert Systems with Applications, 147, 113193. https://doi.org/10.1016/j.eswa.2020.113193
De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial Intelligence and Marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51, 91–105. https://doi.org/10.1016/j.intmar.2020.04.007
Dumitriu, D., & Popescu, M. A.-M. (2020). Artificial Intelligence Solutions for Digital Marketing. Procedia Manufactur-ing, 46, 630–636. https://doi.org/10.1016/j.promfg.2020.03.090
Feijóo, C., Kwon, Y., Bauer, J. M., Bohlin, E., Howell, B., Jain, R., Potgieter, P., Vu, K., Whalley, J., & Xia, J. (2020). Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy. Tele-communications Policy, 44(6), 101988. https://doi.org/10.1016/j.telpol.2020.101988
Gillespie, T. (2020). Content moderation, AI, and the question of scale. Big Data & Society, 7(2), 205395172094323. https://doi.org/10.1177/2053951720943234
Goodell, J. W., Kumar, S., Lim, W. M., & Pattnaik, D. (2021). Artificial Intelligence and machine learning in fi-nance: Identifying foundations, themes, and research clusters from Bibliometric analysis. Journal of Behavioral and Experimental Finance, 32, 100577. https://doi.org/10.1016/j.jbef.2021.100577
Haleem, A., Javaid, M., Asim Qadri, M., Pratap Singh, R., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005
Hermann, E. (2021). Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective. New Media & Society, 146144482110227. https://doi.org/10.1177/14614448211022702
Higgins, J. P., Savović, J., Page, M. J., Elbers, R. G., & Sterne, J. A. (2019). Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions, 205–228. https://doi.org/10.1002/9781119536604.ch8
Huang, C., Yang, C., Wang, S., Wu, W., Su, J., & Liang, C. (2019). Evolution of topics in education research: A systemat-ic review using bibliometric analysis. Educational Review, 72(3), 281–297. https://doi.org/10.1080/00131911.2019.1566212
Huang, M.-H., & Rust, R. T. (2020). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Jarrahi, M. H. (2019). In the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Business Information Review, 36(4), 178–187. https://doi.org/10.1177/0266382119883999
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the Role of Artificial Intelligence in Personal-ized Engagement Marketing. California Management Review, 61(4), 135–155. https://doi.org/10.1177/0008125619859317
Kumar, V., Ramachandran, D., & Kumar, B. (2020). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864–877. https://doi.org/10.1016/j.jbusres.2020.01.007
Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2021). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4). https://doi.org/10.1002/mar.21619
Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085x.2020.1740618
Nair, K., & Gupta, R. (2021). Application of AI technology in modern digital marketing environment. World Journal of Entrepreneurship, Management and Sustainable Development, ahead-of-print(ahead-of-print). https://doi.org/10.1108/wjemsd-08-2020-0099
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & McGuinness, L. A. (2021a). PRISMA 2020 Explanation and elaboration: Updated Guidance and Exemplars for Reporting Systematic Reviews. BMJ, 372(160), n160. https://doi.org/10.1136/bmj.n160
Park, J., Hyun, H., & Thavisay, T. (2021a). A study of antecedents and outcomes of social media wom towards luxury brand purchase intention. Journal of Retailing and Consumer Services, 58, 102272. https://doi.org/10.1016/j.jretconser.2020.102272
Qin, X., & Jiang, Z. (2019). The Impact of AI on the Advertising Process: The Chinese Experience. Journal of Advertising, 48(4), 338–346. https://doi.org/10.1080/00913367.2019.1652122
Qin, Y. S. (2020). Fostering brand–consumer interactions in social media: the role of social media uses and gratifications. Journal of Research in Interactive Marketing, 14(3), 337–354. https://doi.org/10.1108/jrim-08-2019-0138
Ragot, M., Martin, N., & Cojean, S. (2020). AI-generated vs. Human Artworks. A Perception Bias Towards Artificial In-telligence? Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3334480.3382892
Rashedul Huq Shamim, M., Al Mamun, M. A., & Raihan, Md. A. (2022). Mapping the Research of Technical Teachers’ Pedagogical Beliefs about Science Technology Engineering and Mathematics (STEM) Education. International Jour-nal of Instruction, 15(4), 798–818.
Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., & Koffel, J. B. (2021). PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Systematic Reviews, 10(1). https://doi.org/10.1186/s13643-020-01542-z
Risi, S., & Togelius, J. (2020). Increasing generality in machine learning through procedural content generation. Nature Machine Intelligence, 2(8), 428–436. https://doi.org/10.1038/s42256-020-0208-z
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161–178. https://doi.org/10.1016/j.indmarman.2021.08.006
Skopec, M., Issa, H., Reed, J., & Harris, M. (2020). The role of geographic bias in knowledge diffusion: a systematic re-view and narrative synthesis. Research Integrity and Peer Review, 5(1). https://doi.org/10.1186/s41073-019-0088-0
Sokol, K., & Flach, P. (2020). One explanation does not fit all. KI - Künstliche Intelligenz, 34(2), 235–250. https://doi.org/10.1007/s13218-020-00637-y
Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., Emberson, J. R., Hernán, M. A., Hopewell, S., Hróbjartsson, A., Junqueira, D. R., Jüni, P., Kirk-ham, J. J., Lasserson, T., Li, T., & McAleenan, A. (2019). RoB 2: a revised tool for assessing risk of bias in random-ised trials. BMJ, 366(1), l4898. https://doi.org/10.1136/bmj.l4898
Tong, S., Luo, X., & Xu, B. (2019). Personalized mobile marketing strategies. Journal of the Academy of Marketing Sci-ence, 48(1). https://doi.org/10.1007/s11747-019-00693-3
Tsagkias, M., King, T. H., Kallumadi, S., Murdock, V., & de Rijke, M. (2020). Challenges and research opportunities in eCommerce search and recommendations. ACM SIGIR Forum, 54(1), 1–23. https://doi.org/10.1145/3451964.3451966
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Aizenberg, E., & van den Hoven, J. (2020). Designing for human rights in AI. Big Data & Society, 7(2), 205395172094956. https://doi.org/10.1177/2053951720949566
Al Adwan, A., Kokash, H., Al Adwan, R., & Khattak, A. (2023). Data analytics in digital marketing for tracking the effec-tiveness of campaigns and inform strategy. International Journal of Data and Network Science, 7(2), 563–574.
Alaql, A. A., AlQurashi, F., & Mehmood, R. (2023). Data-Driven Deep Journalism to Discover Age Dynamics in Multi-Generational Labour Markets from LinkedIn Media. Journalism and Media, 4(1), 120–145. https://doi.org/10.3390/journalmedia4010010
Amato, G., Behrmann, M., Bimbot, F., Garcia, A., & Geurts, J. (2019). AI in the media and creative industries. ArXiv Pre-print ArXiv:1905.04175. https://doi.org/10.48550/arXiv.1905.04175
Amir-Behghadami, M., & Janati, A. (2020). Population, Intervention, Comparison, Outcomes and Study (PICOS) design as a framework to formulate eligibility criteria in systematic reviews. Emergency Medicine Journal, 37(6), 387–387. https://doi.org/10.1136/emermed-2020-209567
Anantrasirichai, N., & Bull, D. (2021). Artificial intelligence in the creative industries: a review. Artificial Intelligence Review, 55(1). https://doi.org/10.1007/s10462-021-10039-7
Boukhari, M. (2021). The Impact of Artificial Intelligence on the B2B Sales Funnel. Www.theseus.fi. https://urn.fi/URN:NBN:fi:amk-2021112220985
Brozek, J. L., Canelo-Aybar, C., Akl, E. A., Bowen, J. M., Bucher, J., Chiu, W. A., Cronin, M., Djulbegovic, B., Falavigna, M., Guyatt, G. H., Gordon, A. A., Hilton Boon, M., Hutubessy, R. C. W., Joore, M. A., Katikireddi, V., LaKind, J., Langendam, M., Manja, V., Magnuson, K., & Mathioudakis, A. G. (2021). GRADE Guidelines 30: the GRADE ap-proach to assessing the certainty of modeled evidence—An overview in the context of health decision-making. Jour-nal of Clinical Epidemiology, 129, 138–150. https://doi.org/10.1016/j.jclinepi.2020.09.018
Campbell, C., Sands, S., Ferraro, C., Tsao, H.-Y. (Jody), & Mavrommatis, A. (2020). From data to action: How mar-keters can leverage AI. Business Horizons, 63(2), 227–243. https://doi.org/10.1016/j.bushor.2019.12.002
Cetinic, E., & She, J. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multi-media Computing, Communications, and Applications, 18(2), 1–22. https://doi.org/10.1145/3475799
Chan-Olmsted, S. M. (2019). A Review of Artificial Intelligence Adoptions in the Media Industry. International Journal on Media Management, 21(3-4), 193–215. https://doi.org/10.1080/14241277.2019.1695619
Chintalapati, S., & Pandey, S. K. (2021). Artificial Intelligence in Marketing: A systematic literature review. Interna-tional Journal of Market Research, 64(1), 38–68. https://doi.org/10.1177/14707853211018428
Choudrie, J., Manandhar, N., Castro, C., & Obuekwe, C. (2023). Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs. Technological Forecasting and Social Change, 189, 122375. https://doi.org/10.1016/j.techfore.2023.122375
Correia, A.-P., Liu, C., & Xu, F. (2020). Evaluating videoconferencing systems for the quality of the educational ex-perience. Distance Education, 41(4), 429–452. https://doi.org/10.1080/01587919.2020.1821607
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How Artificial Intelligence Will Change the Future of Mar-keting. Journal of the Academy of Marketing Science, 48(1), 24–42. Springer. https://doi.org/10.1007/s11747-019-00696-0
de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L., Pessin, G., De Doncker, G., & Federizzi, G. (2020). Intelligent personal assistants: A systematic literature review. Expert Systems with Applications, 147, 113193. https://doi.org/10.1016/j.eswa.2020.113193
De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial Intelligence and Marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51, 91–105. https://doi.org/10.1016/j.intmar.2020.04.007
Dumitriu, D., & Popescu, M. A.-M. (2020). Artificial Intelligence Solutions for Digital Marketing. Procedia Manufactur-ing, 46, 630–636. https://doi.org/10.1016/j.promfg.2020.03.090
Feijóo, C., Kwon, Y., Bauer, J. M., Bohlin, E., Howell, B., Jain, R., Potgieter, P., Vu, K., Whalley, J., & Xia, J. (2020). Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy. Tele-communications Policy, 44(6), 101988. https://doi.org/10.1016/j.telpol.2020.101988
Gillespie, T. (2020). Content moderation, AI, and the question of scale. Big Data & Society, 7(2), 205395172094323. https://doi.org/10.1177/2053951720943234
Goodell, J. W., Kumar, S., Lim, W. M., & Pattnaik, D. (2021). Artificial Intelligence and machine learning in fi-nance: Identifying foundations, themes, and research clusters from Bibliometric analysis. Journal of Behavioral and Experimental Finance, 32, 100577. https://doi.org/10.1016/j.jbef.2021.100577
Haleem, A., Javaid, M., Asim Qadri, M., Pratap Singh, R., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119–132. https://doi.org/10.1016/j.ijin.2022.08.005
Hermann, E. (2021). Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective. New Media & Society, 146144482110227. https://doi.org/10.1177/14614448211022702
Higgins, J. P., Savović, J., Page, M. J., Elbers, R. G., & Sterne, J. A. (2019). Assessing risk of bias in a randomized trial. Cochrane Handbook for Systematic Reviews of Interventions, 205–228. https://doi.org/10.1002/9781119536604.ch8
Huang, C., Yang, C., Wang, S., Wu, W., Su, J., & Liang, C. (2019). Evolution of topics in education research: A systemat-ic review using bibliometric analysis. Educational Review, 72(3), 281–297. https://doi.org/10.1080/00131911.2019.1566212
Huang, M.-H., & Rust, R. T. (2020). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Jarrahi, M. H. (2019). In the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Business Information Review, 36(4), 178–187. https://doi.org/10.1177/0266382119883999
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the Role of Artificial Intelligence in Personal-ized Engagement Marketing. California Management Review, 61(4), 135–155. https://doi.org/10.1177/0008125619859317
Kumar, V., Ramachandran, D., & Kumar, B. (2020). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864–877. https://doi.org/10.1016/j.jbusres.2020.01.007
Mariani, M. M., Perez‐Vega, R., & Wirtz, J. (2021). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4). https://doi.org/10.1002/mar.21619
Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085x.2020.1740618
Nair, K., & Gupta, R. (2021). Application of AI technology in modern digital marketing environment. World Journal of Entrepreneurship, Management and Sustainable Development, ahead-of-print(ahead-of-print). https://doi.org/10.1108/wjemsd-08-2020-0099
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & McGuinness, L. A. (2021a). PRISMA 2020 Explanation and elaboration: Updated Guidance and Exemplars for Reporting Systematic Reviews. BMJ, 372(160), n160. https://doi.org/10.1136/bmj.n160
Park, J., Hyun, H., & Thavisay, T. (2021a). A study of antecedents and outcomes of social media wom towards luxury brand purchase intention. Journal of Retailing and Consumer Services, 58, 102272. https://doi.org/10.1016/j.jretconser.2020.102272
Qin, X., & Jiang, Z. (2019). The Impact of AI on the Advertising Process: The Chinese Experience. Journal of Advertising, 48(4), 338–346. https://doi.org/10.1080/00913367.2019.1652122
Qin, Y. S. (2020). Fostering brand–consumer interactions in social media: the role of social media uses and gratifications. Journal of Research in Interactive Marketing, 14(3), 337–354. https://doi.org/10.1108/jrim-08-2019-0138
Ragot, M., Martin, N., & Cojean, S. (2020). AI-generated vs. Human Artworks. A Perception Bias Towards Artificial In-telligence? Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3334480.3382892
Rashedul Huq Shamim, M., Al Mamun, M. A., & Raihan, Md. A. (2022). Mapping the Research of Technical Teachers’ Pedagogical Beliefs about Science Technology Engineering and Mathematics (STEM) Education. International Jour-nal of Instruction, 15(4), 798–818.
Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., & Koffel, J. B. (2021). PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Systematic Reviews, 10(1). https://doi.org/10.1186/s13643-020-01542-z
Risi, S., & Togelius, J. (2020). Increasing generality in machine learning through procedural content generation. Nature Machine Intelligence, 2(8), 428–436. https://doi.org/10.1038/s42256-020-0208-z
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161–178. https://doi.org/10.1016/j.indmarman.2021.08.006
Skopec, M., Issa, H., Reed, J., & Harris, M. (2020). The role of geographic bias in knowledge diffusion: a systematic re-view and narrative synthesis. Research Integrity and Peer Review, 5(1). https://doi.org/10.1186/s41073-019-0088-0
Sokol, K., & Flach, P. (2020). One explanation does not fit all. KI - Künstliche Intelligenz, 34(2), 235–250. https://doi.org/10.1007/s13218-020-00637-y
Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., Emberson, J. R., Hernán, M. A., Hopewell, S., Hróbjartsson, A., Junqueira, D. R., Jüni, P., Kirk-ham, J. J., Lasserson, T., Li, T., & McAleenan, A. (2019). RoB 2: a revised tool for assessing risk of bias in random-ised trials. BMJ, 366(1), l4898. https://doi.org/10.1136/bmj.l4898
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