| Reference: | 1. Alian, A. A., & Shelley, K. H. (2014). Photoplethysmography. Best Practice & Research Clinical Anaesthesiology, 28(4), 395. https://doi.org/10.1016/j.bpa.2014.08.006
2. Almeida, P. R., Moreira, P. S., & Timson, J. D. (2022). Toward an Engagement-Centric Sports Rights Valuation Model: Using Large-Scale Electrodermal Monitoring to Measure and Value Sports Broadcasting. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 55-66). Springer.
3. Anderson, B. B., Vance, A., Kirwan, C. B., Eargle, D., & Jenkins, J. L. (2016). How users perceive and respond to security messages: a NeuroIS research agenda and empirical study. European Journal of Information Systems, 25(4), 364-390. https://doi.org/10.1057/ejis.2015.21
4. Astor, P. J., Adam, M. T. P., Jercic, P., Schaaff, K., & Weinhardt, C. (2013). Integrating Biosignals into Information Systems: A NeuroIS Tool for Improving Emotion Regulation. Journal of Management Information Systems, 30(3), 247-277. https://doi.org/10.2753/mis0742-1222300309
5. Baldo, D., & Schoeller, M. (2022). Anticipated Regret in Decision-Making and Behaviour Change. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 127-140). Springer.
6. Braeutigam, S. (2005). Neuroeconomics—From neural systems to economic behaviour. Brain Research Bulletin, 67(5), 355-360. https://doi.org/10.1016/j.brainresbull.2005.06.009
7. Braithwaite, J. J., Watson, D. G., Jones, R., & Rowe, M. (2015). A guide for analysing electrodermal activity (EDA) & skin conductance responses (SCRs) for psychological experiments.
8. Briesemeister, B. B., & Trebbe, J. (2022). Welcome to the Real World: Neuromarketing for the Stationary Point of Sale to Quantify the Customer Experience. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 91-108). Springer.
9. Browne, G. J., & Walden, E. A. (2021). Stopping information search: an fMRI investigation. Decision Support Systems, 143, 113498.
10. Bujic, M., Xi, N., & Hamari, J. (2021). Emotional response to extended realities: The effects of augmented and virtual technologies in a shopping context. Proceedings of the Annual Hawaii International Conference on System Sciences,
11. Cameron, A.-F., Addas, S., & Spitzmuller, M. (2020). Multicommunicating During Team Meetings and Its Effects on Team Functioning. In Information Systems and Neuroscience (pp. 19-29). https://doi.org/10.1007/978-3-030-28144-1_3
12. Cardoso, L., Araujo, A., Silva, R., Almeida, G. G. F. D., Campos, F., & Santos, L. L. (2023). Demystifying neurotourism: An interdisciplinary approach and research agenda. European Journal of Tourism Research, 36, 3618. https://doi.org/10.54055/ejtr.v36i.3183
13. Chou, W. S., Trivedi, N., Peterson, E., Gaysynsky, A., Krakow, M., & Vraga, E. (2020). How do social media users process cancer prevention messages on Facebook? An eye-tracking study. Patient Educ Couns, 103(6), 1161-1167. https://doi.org/10.1016/j.pec.2020.01.013
14. Conrad, C., Agarwal, O., CalixWoc, C., Chiles, T., Godfrey, D., Krueger, K., Marini, V., Sproul, A., & Newman, A. (2020). On Using Python to Run, Analyze, and Decode EEG Experiments. In Information Systems and Neuroscience (pp. 287-293).
15. Cortinas, M., Cabeza, R., Chocarro, R., & Villanueva, A. (2019). Attention to online channels across the path to purchase: An eye-tracking study. Electronic Commerce Research and Applications, 36. https://doi.org/10.1016/j.elerap.2019.100864
16. Culjak, G. (2012). Access, awareness and use of Internet self-help websites for depression in University students. Proceedings of the Annual Hawaii International Conference on System Sciences,
17. Dimoka, A. (2010). What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 373-396.
18. Dimoka, A., Banker, R. D., Benbasat, I., Davis, F. D., Dennis, A. R., Gefen, D., Gupta, A., Lschebeck, A., Kenning, P. H., Pavlou, P. A., Müller-Putz, G., Riedl, R., vom Brocke, J., & Weber, B. (2012). On the use of neurophysiological tools in IS research: Developing a research agenda for NeuroIS. MIS Quarterly, 36(3), 679-702.
19. Dimoka, A., & Davis, F. D. (2008). Where does TAM reside in the brain? The neural mechanisms underlying technology adoption. ICIS 2008 proceedings, 169.
20. Dimoka, A., Pavlou, P. A., & Davis, F. D. (2011). Research Commentary—NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research. Information Systems Research, 22(4), 687-702. https://doi.org/10.1287/isre.1100.0284
21. Djamasbi, S., Siegel, M., & Tullis, T. (2012). Designing noticeable bricklets by tracking users' eye movements. Proceedings of the Annual Hawaii International Conference on System Sciences,
22. Fahim, I., Khalil, M. M., & Fatima, E. (2024). Unlocking Consumer Minds: A Comprehensive Exploration of Neuromarketing Techniques and Consumer Decision Processes. In (pp. 355-364). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65018-5_33
23. Fisher, C. E., Chin, L., & Klitzman, R. (2010). Defining Neuromarketing: Practices and Professional Challenges. Harvard Review of Psychiatry, 18(4), 230-237. https://doi.org/10.3109/10673229.2010.496623
24. Galandi, N., Briesemeister, B. B., Kant, T., & Hagen, D. (2022). Beyond Neuromarketing: How Neuroscience Is Penetrating New Areas of Business. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 109-125). Springer.
25. Gleasure, R. (2020). Circadian Rhythms and Social Media Information-Sharing. In Information Systems and Neuroscience (pp. 1-11).
26. Gregg, R. E. M., Zhou, S. H. P., Lindauer, J. M. M. D., Helfenbein, E. D. M., & Giuliano, K. K. R. N. P. (2008). What is inside the electrocardiograph? Journal of Electrocardiology, 41(1), 8.
27. Gunarathne, P., Rui, H., & Seidmann, A. (2019). Racial discrimination in social media customer service: Evidence from a popular microblogging platform. Proceedings of the Annual Hawaii International Conference on System Sciences,
28. Halkiopoulos, C., Antonopoulou, H., Gkintoni, E., & Aroutzidis, A. (2022). Neuromarketing as an Indicator of Cognitive Consumer Behavior in Decision-Making Process of Tourism destination—An Overview. In (pp. 679-697). Springer International Publishing. https://doi.org/10.1007/978-3-030-92491-1_41
29. Hariharan, A., Adam, M. T. P., Dorner, V., Lux, E., Müller, M. B., Pfeiffer, J., & Weinhardt, C. (2017). Brownie: A Platform for Conducting NeuroIS Experiments. Journal of the Association for Information Systems, 18(4), 264-296. https://doi.org/10.17705/1jais.00457
30. Hubert, M., Linzmajer, M., Riedl, R., Hubert, M., Kenning, P., & Weber, B. (2017). Using psycho-physiological interaction analysis with fMRI data in IS research: A guideline. Communications of the Association for Information Systems, 40(1), 9.
31. Iorga, A., & Sapatnekar, D. (2022). Leveraging Neuroscience-Based Insights to Improve Customer Experience. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 79-89). Springer. https://doi.org/10.1007/978-3-658-35185-4_7
32. Januar, R., Fauzi, H., Ariyanti, M., & Heris, F. (2021). Study of neuromarketing: visual influence with decision making on impulse buying. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control.
33. Jha, M., Kemper, J., & Brettel, M. (2019). Product uncertainty in online markets: The influence of situational factors and individual characteristics on purchase decision reversal. Proceedings of the Annual Hawaii International Conference on System Sciences,
34. Kandel, E. R., Schwartz, J. H., Jessell, T. M., Siegelbaum, S. A., & Hudspeth, A. J. (2013). Principles of neural science (5th ed.). McGraw-Hill Medical.
35. Khondakar, M. F. K., Sarowar, M. H., Chowdhury, M. H., Majumder, S., Hossain, M. A., Dewan, M. A. A., & Hossain, Q. D. (2024). A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques. Brain Informatics, 11(1). https://doi.org/10.1186/s40708-024-00229-8
36. Klesel, M., Oschinsky, F. M., Niehaves, B., Riedl, R., & Müller-Putz, G. R. (2020). Investigating the Role of Mind Wandering in Computer-Supported Collaborative Work: A Proposal for an EEG Study. In Information Systems and Neuroscience (pp. 53-62). https://doi.org/10.1007/978-3-030-28144-1_6
37. Lazo, S. R. M., Alfonso, Y. V., & Vallin, S. (2023). Neuromarketing Actions for the Digital Promotion of Tourism in Cuba. GeoJournal of Tourism and Geosites, 46(1), 346-353.
38. Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is ‘neuromarketing’? A discussion and agenda for future research. International Journal of Psychophysiology, 63(2), 199-204. https://doi.org/https://doi.org/10.1016/j.ijpsycho.2006.03.007
39. Li, K., Huang, G., & Bente, G. (2016). The impacts of banner format and animation speed on banner effectiveness: Evidence from eye movements. Computers in Human Behavior, 54, 522-530. https://doi.org/10.1016/j.chb.2015.08.056
40. Liao, G.-Y., Cheng, T. C. E., Shiau, W.-L., & Teng, C.-I. (2021). Impact of online gamers' conscientiousness on team function engagement and loyalty. Decision Support Systems, 142. https://doi.org/10.1016/j.dss.2020.113468
41. Lingens, S. P., & Mall, J. T. (2022). A good product name in the semantic network: Implicit methods for naming. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in business (pp. 15-27). Springer. https://doi.org/10.1007/978-3-658-35185-4_2
42. Lischka, G., Schmidt, S., & Mall, J. T. (2022). Applying Neuromarketing to Redesign a Travel Brand: The Implicit Journey to Create a New Corporate Design. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 29-41). Springer.
43. Lutz, B., Adam, M. T. P., Feuerriegel, S., Pröllochs, N., & Neumann, D. (2020). Affective Information Processing of Fake News: Evidence from NeuroIS. In Information Systems and Neuroscience (pp. 121-128).
44. Meservy, T. O., Fadel, K. J., Kirwan, C. B., & Meservy, R. D. (2019). An fMRI Exploration of Information Processing in Electronic Networks of Practice. MIS Quarterly, 43(3).
45. Minas, R. K., Potter, R. F., Denis, A. R., Bartelt, V., & Bae, S. (2014). Putting on the Thinking Cap: Using NeuroIS to Understand Information Processing Biases in Virtual Teams. Journal of Management Information Systems, 30(4), 49-82. https://doi.org/10.2753/mis0742-1222300403
46. Moshfeghi, Y., Triantafillou, P., & Pollick, F. E. (2016). Understanding information need: An fMRI study. Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval,
47. Munoz-Leiva, F., Hernandez-Mendez, J., & Gomez-Carmona, D. (2019). Measuring advertising effectiveness in Travel 2.0 websites through eye-tracking technology. Physiol Behav, 200, 83-95. https://doi.org/10.1016/j.physbeh.2018.03.002
48. Musiolik, T. H. (2022). Multisensory experiences in digital media. In Neuromarketing in Business (pp. 1-13). https://doi.org/10.1007/978-3-658-35185-4_1
49. neurons. (2023). What is Neuromarketing & How to Use It? Retrieved July 24, 2024 from https://www.neuronsinc.com/insights/neuromarketing
50. Nilashi, M., Yadegaridehkordi, E., Samad, S., Mardani, A., Ahani, A., Aljojo, N., Razali, N. S., & Tajuddin, T. (2020). Decision to adopt neuromarketing techniques for sustainable product marketing: a fuzzy decision-making approach. Symmetry, 12(2), 305.
51. Ocón Palma, M. d. C., Seeger, A.-M., & Heinzl, A. (2020). Mitigating Information Overload in e-Commerce Interactions with Conversational Agents. In Information Systems and Neuroscience (pp. 221-228).
52. Oinas-Kukkonen, H., Zhao, L., Enwald, H., Huotari, M.-L., Ahola, R., Jämsä, T., Keinänen-Kiukaanniemi, S., Leppäluoto, J., & Herzig, K.-H. (2020). Impact of Physical Health and Exercise Activity on Online User Experience:
53. Elderly People and High Risk for Diabetes. In Information Systems and Neuroscience. Springer.
54. Panda, D., Chakladar, D. D., Rana, S., & Parayitam, S. (2024). An EEG‐based neuro‐recommendation system for improving consumer purchase experience. Journal of Consumer Behaviour, 23(1), 61-75. https://doi.org/10.1002/cb.2142
55. Pappas, I. O., Sharma, K., Mikalef, P., & Giannakos, M. N. (2018). Visual aesthetics of e-commerce websites: An eye-tracking approach. Proceedings of the Annual Hawaii International Conference on System Sciences,
56. Parmar, H., Tahvildar, A., Ghasemi, E., Jung, S., Davis, F., & Walden, E. (2022). To download or not to download? Spatial and temporal neural dynamics across the brain regions when deciding to download an app. International Journal of Information Management, 66. https://doi.org/10.1016/j.ijinfomgt.2022.102531
57. Pengnate, S., & Sarathy, R. (2013). Visual appeal of websites: The durability of initial impressions. Proceedings of the Annual Hawaii International Conference on System Sciences,
58. Rauh, C., Straubert, C., & Sucky, E. (2024). Promoting Sustainable Consumer Behavior in E-commerce: An Empirical Study on the Influence of Gamification on Consumers' Return Motivation. Proceedings of the Annual Hawaii International Conference on System Sciences,
59. Riedl, R., Davis, F. D., & Hevner, A. R. (2014). Towards a NeuroIS research methodology: Intensifying the discussion on methods, tools, and measurement. Journal of the Association for Information Systems, 15(10).
60. Riedl, R., Fischer, T., Léger, P.-M., & Davis, F. D. (2020). A Decade of NeuroIS Research. the DATABASE for Advances in Information Systems, 51(3), 13-54. https://doi.org/10.1145/3410977.3410980
61. Riedl, R., Hubert, M., & Kenning, P. (2010). Are There Neural Gender Differences in Online Trust? An fMRI Study on the Perceived Trustworthiness of eBay Offers. MIS Quarterly, 34(2), 397-428.
62. Rowe, F. (2014). What literature review is not: diversity, boundaries and recommendations. European Journal of Information Systems, 23(3), 241-255. https://doi.org/10.1057/ejis.2014.7
63. Scholte, H. S., van der Leij, A., & Lamme, V. A. F. (2022). Neuromarketing Beyond the Posttest: fMRI Can Predict the Commercial Effectiveness of Storyboards Before the TV Commercial Is Shot. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 43-54). Springer.
64. Sposini, L. (2024). Neuromarketing and Eye-Tracking Technologies Under the European Framework: Towards the GDPR and Beyond. Journal of Consumer Policy, 47(3), 321-344. https://doi.org/10.1007/s10603-023-09559-2
65. Stemmer, B., & Whitaker, H. A. (2008). Handbook of the neuroscience of language (1st ed.). Academic/Elsevier.
66. Toreini, P., Langner, M., & Maedche, A. (2020). Using Eye-Tracking for Visual Attention Feedback. In Information Systems and Neuroscience (pp. 261-270).
67. Tu, Y.-J., & Piramuthu, S. (2020). On addressing RFID/NFC-based relay attacks: An overview. Decision Support Systems, 129. https://doi.org/10.1016/j.dss.2019.113194
68. Tu, Y.-J., & Piramuthu, S. (2024). Security and privacy risks in drone-based last mile delivery [Review]. European Journal of Information Systems, 33(5), 617-630. https://doi.org/10.1080/0960085X.2023.2214744
69. Valecha, R., Gonzalez, A., Mock, J., Golob, E. J., & Raghav Rao, H. (2020). Investigating Phishing Susceptibility—An Analysis of Neural Measures. In Information Systems and Neuroscience (pp. 111-119). https://doi.org/10.1007/978-3-030-28144-1_12
70. Vasseur, A., Léger, P.-M., & Sénécal, S. (2020). The Impact of Symmetric Web-Design: A Pilot Study. In Information Systems and Neuroscience (pp. 137-180).
71. Vasseur, A., Passalacqua, M., Sénécal, S., & Léger, P.-M. (2023). The Use of Eye-tracking in Information Systems Research: A Literature Review of the Last Decade. AIS Transactions on Human-Computer Interaction, 15(3), 292-321. https://doi.org/10.17705/1thci.00192
72. Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., Wei, D., Kong, W., Dai, J., Cincotti, F., Mattia, D., & Babiloni, F. (2011). On the use of EEG or MEG brain imaging tools in neuromarketing research. Comput Intell Neurosci, 2011, 643489. https://doi.org/10.1155/2011/643489
73. vom Brocke, J., Hevner, A., Léger, P. M., Walla, P., & Riedl, R. (2020). Advancing a neurois research agenda with four areas of societal contributions. European Journal of Information Systems, 29(1), 9-24. https://doi.org/10.1080/0960085x.2019.1708218
74. vom Brocke, J., & Liang, T.-P. (2014). Guidelines for neuroscience studies in information systems research. Journal of Management Information Systems, 30(4), 211-234. https://doi.org/10.2753/mis0742-1222300408
75. Walla, P., & Lozovic, S. (2020). The Effect of Technology on Human Social Perception: A Multi-methods NeuroIS Pilot Investigation. In Information Systems and Neuroscience (pp. 63-71). https://doi.org/10.1007/978-3-030-28144-1_7
76. Wang, H. C., & Doong, H. S. (2017). An exploratory study on consumers' attention towards social media advertising: An electroencephalography approach. Proceedings of the Annual Hawaii International Conference on System Sciences,
77. Weinreich, A. (2022). Love at First Click: Why Emotion Measurement Ensures the Economic Success of Online Services. In B. B. Briesemeister & W. K. Selmer (Eds.), Neuromarketing in Business (pp. 67-77). Springer.
78. Wessling, N., Tamm, S., Thuencher, T., Elbel, G., & Briesemeister, B. B. (2024). Applied Neuroscience: Using EEG, Eye-tracking, and the NeedSphere Framework to Increase Communication Efficiency Based on Implicit Customer Needs—A Real World Validation. In S. O'Gorman & G. Schuster (Eds.), Customer Centricity (pp. 113-125). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-42173-1_8
79. Whelan, E. (2020). Does a Social Media Abstinence Really Reduce Stress? A Research-in-Progress Study Using Salivary Biomarkers. In Information Systems and Neuroscience (pp. 13-18). https://doi.org/10.1007/978-3-030-28144-1_2
80. Windels, K., Heo, J., Jeong, Y., Porter, L., Jung, A. R., & Wang, R. (2018). My friend likes this brand: Do ads with social context attract more attention on social networking sites? Computers in Human Behavior, 84, 420-429. https://doi.org/10.1016/j.chb.2018.02.036
81. Xiao, S., Warkentin, M., Walden, E., & Johnston, A. C. (2020). Do We Protect What We Own?: A Proposed Neurophysiological Exploration of Workplace Information Protection Motivation. In Information Systems and Neuroscience (pp. 101-109). https://doi.org/10.1007/978-3-030-28144-1_11
82. Xiong, J., & Zuo, M. Y. (2020). What does existing NeuroIS research focus on? Information Systems, 89, 12, Article 101462. https://doi.org/10.1016/j.is.2019.101462
83. Yu, T., Benbasat, I., & Cenfetelli, R. T. (2016). How to design interfaces for product recommendation agents to influence the purchase of environmentally-friendly products. Proceedings of the Annual Hawaii International Conference on System Sciences,
84. Zhang, Z., & Teo, H.-H. (2020). A Neuroimaging Study of How ICT-Enabled Interruptions Induce Mental Stress. In Information Systems and Neuroscience (pp. 31-39). |
