Journal of Business and Retail Management Research Volume 20 Issue 02 (April 2026) Issue citation and reference package ======================================================================== 1. Impact of heat waves on Spanish tourism demand Authors: Maria-Dolores Sanchez-Sanchez; Carmen De-Pablos-Heredero; Jose-Luis Montes-Botella Published: 30 Mar 2026 DOI: https://doi.org/10.24052/JBRMR/V20IS02/ART-01 Article URL: https://jbrmr.com/details&cid=607 References: Adongo, C.A., Kim, S.B. & Elliott, S. (2017) ‘The moderating role of perceived risk on the relationship between destination image and behavioural intentions of tourists‘, Tourism Management, 64, pp. 119–129. Available at: https://doi.org/10.1016/j.tourman.2017.02.012 Amengual, A., Homar, V., Romero, R., Alonso, S. & Ramis, C. (2014) ´Projections of heat waves with the regional climate model RegCM4 in Europe´, Climate Change, 125(3–4), pp. 569–583. Available at:  https://doi.org/10.1007/s00382-013-1961-2 Arabadzhyan, A., Figini, P., Garcia, J.R., Lam-González, Y. & Leon, C.J. (2020) ´Climate change, coastal tourism, and impact chains – A literature review´, Current Issues in Tourism, 23(13), pp. 1567–1583. Available at: https://doi.org/10.1080/13683500.2020.1825351 Becken, S. & Wilson, J., (2013) ´Weather, climate and tourism: A geographical perspective´. Journal of Tourism Studies, 24(2), pp. 1–15. Available at: https://doi.org/10.1080/14616688.2012.762541 Buckley, R. (2008) ´Climate response tourism: A new paradigm for global tourism´, Tourism Recreation Research, 33(3), pp. 35–40. Available at: https://doi.org/10.1080/02508281.2008.11081550 Bujosa, A. & Roselló, J. (2011) ´Modelling tourism demand dynamics´, Tourism Economics, 17(2), pp. 283–298. Available at: https://doi.org/10.1007/s10584-010-9895-4 Caldeira, A.M. & Kastenholz, E. (2018) ´Tourists’ perceptions of climate change and its impact on destination choice´, Journal of Sustainable Tourism, 26(5), pp. 805–825. Available at: https://doi.org/10.1080/1743873X.2017.1302571 Caravallo, M., González, M. & Pérez, J. (2017) ´Weather and tourism: A study of the impact of climate on tourist activities´, Tourism Analysis, 22(3), pp. 345–357. Available at: https://doi.org/10.1016/j.enpol.2017.08.007 Cheah, J.H., Sarstedt, M., Ringle, C.M., Ringle, T. & Ramayah, T. (2019) ´Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict`, European Journal of Marketing, 53(11), pp. 2322–2347. Available at:  https://doi.org/10.1108/ejm-02-2019-0189  Cohen, J. (1988) ´Statistical power analysis for the behavioral sciences. 2nd ed´. Hillsdale, NJ: Lawrence Erlbaum Associates. Copernicus Climate Change Service (2019) ´European State of the Climate 2019´. https://climate.copernicus.eu [Accessed 31 Oct. 2025]. Copernicus Climate Change Service (2021) ´European State of the Climate 2021´. https://climate.copernicus.eu [Accessed 31 Oct. 2025]. Corral Orgaz, M. (2021) ´FRONTUR: Cross‑Border Tourism Flow Survey. Day, J., Chin, N., Sydnor, S. & Melendez, M. (2013) ´Weather, climate and tourism performance: A quantitative analysis´, Tourism Management Perspectives, 5, pp. 51–56. Available at:  https://doi.org/10.1016/j.tmp.2012.11.001  De Almeida, A. & Machado, M. (2019) ´Extreme weather events and tourism: Impacts and adaptation strategies`, Journal of Tourism Futures, 5(2), pp. 123–135. Available at:  https://doi.org/10.1108/JTF-12-2018-0084 Domínguez, T., Araújo, N., De la Cruz, Y. & Peña, A. (2017) ´Tourist behaviour and climate change: A structural equation modelling approach´. Journal of Tourism Research, 25(1), pp. 45–60. Dubois, G., Ceron, J.P., Gössling, S. & Hall, C.M. (2016) ´Weather preferences and implications for climate change impacts on demand´, Climate Change, 136(2), pp. 201–214. Efron, B. & Tibshirani, R.J., (1993) An introduction to the bootstrap. New York: Chapman & Hall. European Commission, Joint Research Centre (2023) ´Climate change impacts on European tourism´. Brussels: European Commission. Eusebio, C. & Vieira, A.L. (2011) ´Destination attributes’ evaluation, satisfaction and behavioural intentions: A structural modelling approach´, International Journal of Tourism Research, 13(1), pp. 66–80. Available at: https://doi.org/10.1002/jtr.877  Fitchett, J.M., Hoogendoorn, G. & Swemmer, L. (2017) ´Climate change and tourism: Impacts and adaptation in South Africa. African Journal of Hospitality´, Tourism and Leisure, 6(1), pp. 1–15. Gabarda-Mallorquí, A. (2016) ´Water scarcity and tourism: A Mediterranean perspective´, Journal of Sustainable Tourism, 24(3), pp. 345–360. Gómez Royuela, C. (2016) ´Adaptation strategies for coastal tourism in Spain´. Tourism Review, 71(2), pp. 123–135. Gómez-Martín, M.B., Martínez-Ibarra, E. & Olcina, J. (2014) ´Weather and tourism: A study of the impact of climate on tourist activities in Spain´, Tourism Geographies, 16(3), pp. 433–452. Gössling, S., Bredberg, M., Randow, A., Sandström, E. & Svensson, P. (2006) ´Tourists’ perceptions of climate change: A study of international travellers´, Climate Research, 32(1), pp. 1–12. Gössling, S., Hall, C.M. & Scott, D. (2012) ´Tourism and climate change: Impacts, adaptation and mitigation´. London: Routledge. Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017) ´A primer on partial least squares structural equation modeling (PLS-SEM)´. 2nd ed. Thousand Oaks, CA: Sage. Hair, J.F., Risher, J.J., Sarstedt, M. & Ringle, C.M. (2019) ´When to use and how to report the results of PLS-SEM´, European Business Review, 31(1), pp. 2–24. Available at:  https://doi.org/10.1108/ebr-11-2018-0203  Hamilton, J.M., Maddison, D.J. & Tol, R.S.J. (2005) ´Climate change and international tourism: A simulation study´, Global Environmental Change, 15(3), pp. 265–280. Available at: https://doi.org/10.1016/j.gloenvcha.2004.12.009  Han, H., Yu, J. & Kim, W. (2018) ´Environmental risk perception and behavioural intention in tourism´, Journal of Travel Research, 57(8), pp. 1041–1056. Henlein, M. & Kaplan, D, (2004) ´Structural equation modelling in tourism research´, Journal of Travel Research, 43(1), pp. 1–14. Henseler, J., Ringle, C.M. & Sinkovics, R.R. (2009) ´The use of partial least squares path modelling in international marketing´, Advances in International Marketing, 20, pp. 277–319. Henseler, J. (2018) ´Partial least squares path modelling: Quo vadis?´ Journal of Market Research, 20(3), pp. 1–21. Available at: https://doi.org/10.1007/s11135-018-0689-6  Hsu, F.C. & Sharma, A. (2023) ´Heatwaves and tourism: Impacts on travel behaviour and destination choice´, Journal of Sustainable Tourism, 31(5), pp. 789–805. Humagain, P.; Singleton, P. A. (2021) ´Examining relationships between COVID-19 destination practices, value, satisfaction and behavioral intentions for tourists' outdoor recreation trips´, Journal of Destination Marketing & Management, (22), 100665. https://doi.org/10.1016/j.jdmm.2021.100665 Jeuring, J. & Becken, S. (2013) ´Tourists and severe weather: A review of literature´, Tourism Management Perspectives, 8, pp. 73–85. Available at: https://doi.org/10.1016/j.tourman.2013.02.004  Jeuring, J. & Haartsen, T. (2017) ´Weather perceptions and holiday satisfaction´, Tourism Management, 61, pp. 70–81. Available at:  https://doi.org/10.1016/j.tourman.2017.01.018  Jiménez, M., López, A., & Sánchez, R. (2022) ´Holiday rentals and tourist behaviour in Spain´, International Journal of Hospitality Management, 102, p.103123. Jöreskog, K.G., & Wold, H.O. (1982) ´Systems under Indirect Observation: Causality, Structure´.Prediction. North Holland. Kock, N. (2019) ´WarpPLS 8.0 User Manual´. Laredo, TX: ScriptWarp Systems. Lam-González, Y., León, C.J. & Araña, J.E. (2020) ´Climate change and tourism: A review of the literature´, Tourism Economics, 26(3), pp. 453–472. Available at: https://doi.org/10.20867/thm.21.1.7  León, C.J., Araña, J.E., & Lam-González, Y. (2021) ´Tourism demand and climate change: A meta-analysis´, Journal of Travel Research, 60(5), pp. 1045–1062. Available at: https://doi.org/10.1080/09669582.2024.2354882  Lohmoller, J.B. (1989) ´Latent variable path modelling with partial least squares´. Heidelberg: Physica-Verlag. Lorenzo, M.N. & Álvarez, I. (2022) ´Extreme temperatures in Spain: Trends and projections´, Climate Research, 82(1), pp. 1–12. Marriott Bonvoy (2024) ´Travel trends report: Coolcations and climate-conscious tourism´. https://www.marriott.com [Accessed 31 Oct. 2025]. Matzarakis, A., de Freitas, C.R. & Scott, D. (2013) ´Advances in tourism climatology´. Freiburg: Berichte des Meteorologischen Instituts der Universität Freiburg. MedECC (2020) ´Climate and environmental change in the Mediterranean basin – Current situation and risks for the future´. Marseille: Union for the Mediterranean. Millán, M. (2023) ´Tourism flows and climate preferences in Europe`, Journal of Travel and Tourism Marketing, 40(2), pp. 123–139. Miró, J. & Olcina, J. (2021) ´Thermal comfort and tourism in Spain´, Tourism Review, 76(3), pp. 456–470. Available at: https://doi.org/10.5937/simterm24464m  Moreno, A. & Amelung, B. (2009) ´Climate change and tourist comfort in Europe´, Climate Research, 42(1), pp. 1–15. Available at: https://doi.org/10.1080/08920750903054997  Moreno, A., Becken, S. & Uyarra, M.C. (2008) `Tourism and climate change: Impacts and adaptation´, Journal of Sustainable Tourism, 16(6), pp. 591–611. National Geographic Institute. Available online: https://www.ign.es/web/ign/portal/obs-area-observacionterritorio [Accessed 25 Apr. 2024]. National Statistics Institute (2016) ´FRONTUR: Survey methodology´. Madrid: National Statistics Institute. https://www.ine.es National Statistics Institute (2023) ´Tourism statistics: Contribution to GDP´. Madrid: National Statistics Institute. https://www.ine.es Olcina, J. & Miró, J. (2017) ´Climate change and tourism in Spain: Risks and adaptation´, Boletín de la Asociación de Geógrafos Españoles, 75, pp. 1–25. Olcina, J., Miró, J. & Vera-Rebollo, F. (2019) ´Heatwaves and tourism: Impacts and adaptation strategies´, Cuadernos de Turismo, 44, pp. 123–145. Olcina, J. & Vera-Rebollo, F. (2016) ´Climate change adaptation in Spanish coastal tourism´, Journal of Coastal Research, 32(5), pp. 1101–1110. Paredes-Fortuny, X. & Khodayar, S. (2023) ´Heatwaves in Southern Europe: Trends and impacts´, Atmospheric Research, 280, p.106456. Perkins, S.E. & Alexander, L.V. (2013) ´On the definition of heatwaves´, Journal of Climate, 26(13), pp. 4500–4517. Raithel, S., Sarstedt, M., Schwaiger, M. & Ringle, C.M. (2012) ´Market share and customer satisfaction: A PLS path modelling approach´, Journal of Strategic Marketing, 20(4), pp. 307–317. Rogers, R. W. A. (1975) ´Protection motivation theory of fear appeals and attitude change´, The Journal of Psychology (91), pp. 93–114. Roson, R. & Sartori, M. (2014) ´Climate change and tourism: An economic analysis´. Journal of Sustainable Tourism, 22(5), pp. 683–703. Rosselló-Nadal, J., Riera-Font, A. & Cárdenas, V. (2011) ´Climate change and tourism: The impact of weather on tourist demand in Mediterranean destinations´, Climatic Change, 107(1–2), pp. 119–130. Sánchez-Sánchez-Sánchez, M.D., De-Pablos-Heredero, C. & Montes-Botella, J.L. (2024) ´Direct and moderating effects of COVID-19 on cultural tourist satisfaction´. European Research on Management and Business Economics, 30, 100238. Available at: https://doi.org/10.1016/j.iedeen.2023.100238 State Meteorological Agency (2022). Available online: https://www.aemet.es [Accessed 31 Oct. 2024]. State Meteorological Agency (2023) ´Report on the July 2022 Heatwave´. Available online: https://www.aemet.es [Accessed 31 Oct. 2024]. Travel Nast (2024) ´Coolcations: The rise of climate-conscious travel´. https://www.travelnast.com [Accessed 31 Oct. 2025]. Tuel, A. & Eltahir, E.A.B. (2020). ´Why is the Mediterranean a climate change hotspot?´, Journal of Climate, 33(14), pp. 5829–5843. Available at: https://doi.org/10.21203/rs.3.rs-97522/v1  Wenjia, Z., Li, Y.& Zhang, H. (2020) ´Protection motivation theory and tourism: A review and future research agenda´, Journal of Travel Research, 59(5), pp. 882–899. Wilkins, H., Hall, C.M. & Harrill, R. (2018) ´Weather and tourism: A review of the literature´, Tourism Geographies, 20(3), pp. 456–472. Yoon, Y. & Uysal, M. (2005) ´An examination of the effects of motivation and satisfaction on destination loyalty: A structural model´, Tourism Management, 26(1), pp. 45–56. Available at: https://doi.org/10.1016/j.tourman.2003.08.016  ------------------------------------------------------------------------ 2. AI anxiety and consumer identity: Emotional responses to intelligent systems through the identity-aligned emotional model — quantitative evidence from a mediterranean high -uncertainty-avoidance consumer sample Authors: Theofanis Aritzis Published: 15 May 2026 DOI: https://doi.org/10.24052/JBRMR/V20IS02/ART-02 Article URL: https://jbrmr.com/details&cid=608 References: Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., and Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34-49. https://doi.org/10.1016/j.jretai.2014.09.005 Association of Internet Researchers. (2019). Internet research: Ethical guidelines 3.0. AoIR. Castelo, N., Bos, M. W., and Lehmann, D. R. (2019). Task-dependent algorithm aversion. Journal of Marketing Research, 56(5), 809-825. https://doi.org/10.1177/0022243719851788 Citation omitted blind review. (2025a). DBA Research, The Impact of AI on Consumer Behavior of Greeks. European International University Paris. Citation omitted blind review. (2025b). AI-Augmented Integrated Marketing Communication for Hydrogen Adoption (accepted for publication, IJBESAR). Citation omitted blind review. (2026). The AI Socio-Digital Inequality Framework: Empirical Evidence from a Greek Consumer Sample (in press, Open Education). Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008 Hajek, A., Zwar, L., and Neumann, A. (2025). Translation and validation of the artificial intelligence anxiety scale in German. PLOS ONE, 20(10), e0333073. https://doi.org/10.1371/journal.pone.0333073 Han, J.-H., and Ko, D. (2025). Trust formation, error impact, and repair in human-AI financial advisory: A dynamic behavioral analysis. Behavioral Sciences, 15(10), 1370. https://doi.org/10.3390/bs15101370 Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1014 Kim, K.-E. (2023). Maximizers' reactance to algorithm-recommended options: The moderating role of autotelic vs. instrumental choices. Behavioral Sciences, 13(11), 938. https://doi.org/10.3390/bs13110938 Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press. Liu, X., and Liu, Y. (2025). Developing and validating a scale of artificial intelligence anxiety among Chinese EFL teachers. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.12902 Logg, J. M., Minson, J. A., and Moore, D. A. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151, 90-103. https://doi.org/10.1016/j.obhdp.2018.12.005 Oyserman, D. (2015). Identity-based motivation. Emerging Trends in the Social and Behavioral Sciences. https://doi.org/10.1002/9781118900772.etrds0171 Venkatesh, V., and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x Wang, Y.-Y., and Wang, Y.-S. (2019). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 619-634. https://doi.org/10.1080/10494820.2019.1674887 Zajonc, R. B. (1968). Attitudinal effects of mere exposure. Journal of Personality and Social Psychology, 9(2, Pt. 2), 1-27. https://doi.org/10.1037/h0025848 Zenodo Dataset. (2025). Greek Consumer AI Perception Dataset, N = 318 (citation omitted blind review). Zenodo. https://doi.org/10.5281/zenodo.19956739 ------------------------------------------------------------------------ 3. Failure demand – how part of the total demand can become a burden Authors: Teemu Kokko; Marko Maki Published: 24 Jun 2026 Article URL: https://jbrmr.com/details&cid=609 References: Abaidi, I., & Vernette, E. (2018). Does digitalization create or reduce perceived global value? The Journal of Consumer Marketing, 35(7), 676-687. Brown, T. (2008): Design Thinking, Harvard Business Review, 86:6, 84 Den Hertog, P., Van Der Aar, W. & de Jong, M., W. (2010): Capabilities for Managing Service Innovation: Towards a Conceptual Framework, Journal of Service Management, 21:4, 490-514 Dong, B., & Sivakumar, K. (2017): Customer participation in services: Domain, scope, and boundaries. Journal of the Academy of Marketing Science, 45(6), 944-965. doi:https://doi.org/10.1007/s11747-017-0524-y Gronroos, C. (2016): Internationalization strategies for services: A retrospective. The Journal of Services Marketing, 30(2), 129-132 Hallikainen, H., Alamaki, A., & Laukkanen, T. (2018): Individual preferences of digital touchpoints: A latent class analysis. Journal of Retailing and Consumer Services, Vol. 50, Sept., 386-393 Heinonen, K. & Strandvik, T. (2018): Reflections on Customers’ Primary Role in Markets, European Management Journal, 36:1, 1-11, Jan., https://doi.org/10.1016/j.emj.2017.09.005 Heinonen, K., Strandvik, T. & Voima, P. (2013): Customer Dominant Value Formation in Service, European Business Review, 25:2, 104-125 Jaaron, A. & Backhouse, C. (2014): Learning from Chaos: The Advent of Antifragility in Service Organizations, Proceedings of the 2014 POMS International Conference, Singapore, July 21-23, 1-8 Jaaron, A. & Backhouse, C. (2016): A Systems Approach for Forward and Reverse Logistics Design: Maximising Value from Customer Involvement, The International Journal of Logistics Management, 27:3, 947-971 Kjoller, A, & Rasmussen, N., W. (2017): The Hidden Potential of Eliminating Failure Demand, available in the world wide webb: https://implementconsultinggroup.com/media/6403/the-hidden-potential-of-eliminating-failure-demand. Kokku, Randheer. (2021). Omni and Multi-Channel: Relationship with Utilitarian/Hedonic Benefits, Shopping Value and Channel Patronage. International Review of Management and Marketing. 11. 11-22. 10.32479/irmm.11215. Long, Z. & Axsen, J. (2022): Who will use new Mobility Technologies? Exploring Demand for shared, Electric, and, Automated Vehicles in three Canadian Metropolitan Regions, Energy Research & Social Science, 88:1, 102506, https://doi.org/10.1016/j.erss.2022.102506 Macomber, H., D., Calayde, D., Hovell, S., & Contractors, J. (2018): Failure Demand: The Hidden Drag on Professional Services Profitability, The Pocket Sensei, Cited 4.1.2019, available in the world wide webb:  https://static1.squarespace.com/static/5994a002e3df28d4b7fc1606/t/5afac0d870a6ad25e69c36b1/1526382822274/Failure+Demand+Workshop+5-2018 Marr, B. & Parry, S. (2004): Performance Management in Call Centers: Lessons, Pitfalls and Achievements in Fujitsu Services, Measuring Business Excellence, 8:40, 55-62 Matthing, J., Sanden, B. & Edvardsson, B. (2004): Learning from and with Customers, International Journal of Service Industry Management, 15:5, 479-498 Miles, M.B. & Huberman, A. 1994. "Qualitative Data Analysis: An Expanded Source Book", 2nd ed. New York, Sage Publications Morris, G. & Walley, P. (2021): Implementing Failure Demand Reduction as Part of a Demand Management Strategy, Public Money & Management, 42:1, 22-31. https://doi.org/10.1080/09540962.2021.1978163 Myers, M.D. (2013): Qualitative Research in Business & Management, 2nd ed., SAGE, London Maki, M. & Kokko, T. (2013): Front-Line Service Personnel´s Stress-level in Demanding Customer Encounters, Journal of Business and Economics, April, Vol. 4, 249-255 Parasuraman, A. (2010). Service productivity, quality and innovation: Implications for service‐design practice and research. International Journal of Quality and Service Sciences, 2(3), 277-286. Ple, L. (2017): Why do we need research on value co-destruction? Journal of Creating Value, 3(2), 162-169. Porru, L. (2019): Lean-Oriented Approach for Discovering Failure Demand in a Service Contact Centre Environment – Case Study from the Finnish Financial Sector, Master Thesis in Strategic Business Development, University of Vaasa, Finland. Quinton, S., & Smallbone, T. (2006). Reliability, validity and generalization. In Postgraduate Research in Business (pp. 125- 140). Seddon, J. (1992): I Want You to Cheat! The unreasonable Guide to Service and Quality in Organizations, Vanguard Consulting, Ltd. Seddon, J. (2003): Freedom from Command and Press, Vanguard Press Seddon, J. (2005): Freedom from Command and Control (2nd Edition), Buckingham, Published by Vanguard Consulting Seddon, J. (2009): Failure Demand – From the Horse´s Mouth, Customer Strategy, 1:2, 33-34 Seddon, J. & Brand, C. (2008): Debate: Systems Thinking and Public Sector Performance, 28:1, 7-9 Seddon, J. & Caulkin, S. (2007): Systems Thinking, Lean Production and Action Learning, Action Learning: Research and Practice, 4:1, 9-24 Seddon, J. & O´Donovan, B. (2010a): Rethinking Lean service pt. 1, Management Services, 54:2, 34-37 Seddon, J. & O´Donovan, B. (2010b): Rethinking Lean service pt. 2, Management Services, 54:2, 14-19 Teehan, R. & Tucker, W. (2008): An Exploratory Research study: Operationalizing the Measurement of Failure Demand in Customer Service. Quality Management and Organizational Development Attaining Sustainability from Organizational Excellence to Sustainable Excellence. 11th QMOD Conference, 20-22 August, Helsingborg, Sweden 89-98 Yu, E. & Sangiorgi, D. (2017): Service Design as an Approach to Implement the Value Co-creation Perspective in New Service Development, Journal of Service Research, 21: 1, 40-58, https://doi.org/10.1177/1094670517709356 Zeithaml, V., Bitner, M., J. & Gremier, D., D. (2013): Services Marketing: Integrating Customer Focus across the Firm, 6th ed., New York, NY: McGraw-Hill Irwin. Zhao, X., Fu, N., & Liang, X. (2023). Whose customer orientation? Exploring the relationships between leaders, team customer orientation climate and customer satisfaction. Journal of Service Theory and Practice, 33(5), 629-646. ------------------------------------------------------------------------