%0 Journal Article %1 Torrent-Sellens2021 %A Torrent-Sellens, J. %A Salazar-Concha, C. %A Ficapal-Cusí, P. %A Saigí-Rubió, F. %D 2021 %I MDPI AG %J International Journal of Environmental Research and Public Health %K America; Behavior; Blood Central Donors; Humans; Intention; Latin Motivation; Planned Questionnaires South Spain, Spain; Surveys Theory adult; aging analysis; and article; attitude; behavior; blood blood; clinical consumer consumption controlled demand digitization; donor; equation expectancy; experiment; female; geography, human human; least life lifestyle; major male; medical method; modeling; mood; motivation; of population; prediction; questionnaire; square squares structural study; trust; %N 8 %R 10.3390/ijerph18084270 %T Using digital platforms to promote blood donation: Motivational and preliminary evidence from latin america and spain %U https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104483394&doi=10.3390%2fijerph18084270&partnerID=40&md5=ce844ac01398d7739ce580abdbf823a1 %V 18 %X The lack of blood donors is a global problem that prevents the demand for blood prompted by an ageing population and increased life expectancy from being met. The aim of this study was to conduct an initial exploration of the reasons for using digital platforms in blood donation. Using a Theory of Planned Behaviour (TPB) framework, microdata for 389 participants from Latin American countries and Spain, and Partial Least Square-Structural Equation Modelling (PLS-SEM), the study obtained three main prediction paths. The first two started from feelings of trust in the digital community and a positive mood state associated with a modern lifestyle, and they were linked to attitudes and behavioural control in the explanation of the intention to donate and actual blood donation. The third path started from modern lifestyles, and was linked to the subjective norm in the prediction of intention and actual donation. These paths represent one of the very first attempts to predict intentions of donation and collaborative donation by taking a PLS-SEM approach. By determining the paths underpinning collaborative blood donors’ motives, the results of this study provide strong support for the usefulness of the TPB model within the context of digital platform use and blood donation. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

@article{Torrent-Sellens2021, abbrev_source_title = {Int. J. Environ. Res. Public Health}, abstract = {The lack of blood donors is a global problem that prevents the demand for blood prompted by an ageing population and increased life expectancy from being met. The aim of this study was to conduct an initial exploration of the reasons for using digital platforms in blood donation. Using a Theory of Planned Behaviour (TPB) framework, microdata for 389 participants from Latin American countries and Spain, and Partial Least Square-Structural Equation Modelling (PLS-SEM), the study obtained three main prediction paths. The first two started from feelings of trust in the digital community and a positive mood state associated with a modern lifestyle, and they were linked to attitudes and behavioural control in the explanation of the intention to donate and actual blood donation. The third path started from modern lifestyles, and was linked to the subjective norm in the prediction of intention and actual donation. These paths represent one of the very first attempts to predict intentions of donation and collaborative donation by taking a PLS-SEM approach. By determining the paths underpinning collaborative blood donors’ motives, the results of this study provide strong support for the usefulness of the TPB model within the context of digital platform use and blood donation. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.}, added-at = {2021-08-28T19:41:18.000+0200}, affiliation = {Faculty of Economics and Business, Universitat Oberta de Catalunya (UOC), Barcelona, 08035, Spain; Interdisciplinary Research Group on ICTs (i2TIC), Universitat Oberta de Catalunya (UOC), Barcelona, 08035, Spain; Faculty of Economic and Administrative Sciences, Universidad Austral de Chile (UACh), Valdivia, 5110566, Chile; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, 08018, Spain}, art_number = {4270}, author = {Torrent-Sellens, J. and Salazar-Concha, C. and Ficapal-Cusí, P. and Saigí-Rubió, F.}, author_keywords = {Blood donation; Collaborative exchanges; Consumer behaviour; Digital platforms; Theory of Planned Behaviour}, biburl = {https://www.bibsonomy.org/bibtex/2e4bbf42b98b7512a6e82d7c9904fe70a/cristiansalazar}, correspondence_address1 = {Saigí-Rubió, F.; Interdisciplinary Research Group on ICTs (i2TIC), Spain; email: fsaigi@uoc.edu; Saigí-Rubió, F.; Faculty of Health Sciences, Spain; email: fsaigi@uoc.edu}, document_type = {Article}, doi = {10.3390/ijerph18084270}, funding_details = {Universitat Oberta de CatalunyaUniversitat Oberta de Catalunya, UOC}, funding_text 1 = {The researchers thank the 389 volunteers who took part in the study and the IberoAmerican Network for Mobile Technologies in Health (CYTED-RITMOS Network?515RT0498) for its support in disseminating the survey. The authors also thank the linguistic service of the Universitat Oberta de Catalunya for their support in translating the items used in the questionnaire.}, interhash = {0c2b7b333556e43f9f4876f2a06bf9f9}, intrahash = {e4bbf42b98b7512a6e82d7c9904fe70a}, issn = {16617827}, journal = {International Journal of Environmental Research and Public Health}, keywords = {America; Behavior; Blood Central Donors; Humans; Intention; Latin Motivation; Planned Questionnaires South Spain, Spain; Surveys Theory adult; aging analysis; and article; attitude; behavior; blood blood; clinical consumer consumption controlled demand digitization; donor; equation expectancy; experiment; female; geography, human human; least life lifestyle; major male; medical method; modeling; mood; motivation; of population; prediction; questionnaire; square squares structural study; trust;}, language = {English}, note = {cited By 1}, number = 8, publisher = {MDPI AG}, pubmed_id = {33920606}, references = {Sanchez, A.M., Ameti, I.D., Schreiber, G.B., Thomson, R.A., Lo, A., Bethel, J., Williams, A.E., The potential impact of incentives on future blood donation behavior (2001) Transfusion, 41, pp. 172-178. , [CrossRef] [PubMed]; Gillespie, T.W., Hillyer, C.D., Blood donors and factors impacting the blood donation decision (2002) Transfus. Med. Rev, 16, pp. 115-130. , [CrossRef] [PubMed]; Martín-Santana, J.D., Beerli-Palacio, A., Achieving donor repetition and motivation by block leaders among current blood donors (2012) Transfus. Apher. Sci, 47, pp. 337-343. , [CrossRef] [PubMed]; Grant, D.B., Integration of supply and marketing for a blood service (2010) Manag. Res. Rev, 33, pp. 123-133. , [CrossRef]; Akita, T., Tanaka, J., Ohisa, M., Sugiyama, A., Nishida, K., Inoue, S., Shirasaka, T., Predicting future blood supply and demand in Japan with a Markov model: Application to the sex-and age-specific probability of blood donation (2016) Transfusion, 56, pp. 2750-2759. , [CrossRef] [PubMed]; Dhingra, N., International challenges of self-sufficiency in blood products (2013) Transfus. Clin. Biol, 20, pp. 148-152. , [CrossRef]; Shan, H., Zhang, P., Viral attacks on the blood supply: The impact of severe acute respiratory syndrome in Beijing (2004) Transfusion, 44, pp. 467-469. , [CrossRef]; Flavelle, C., Red Cross Warns of a ‘Staggering’ Drop in Blood Supplies (2020) New York Times, , https://www.nytimes.com/2020/06/02/climate/blood-donations-hospitals-shortage.html, (accessed on 15 September 2020); Cortez, M.F., How Long Will Coronavirus Last? Pandemic Will Stretch Into 2021 https://www.bloomberg.com/news/features/2020-06-18/we-will-be-living-with-the-coronavirus-pandemic-well-into-2021, Bloomberg. 2020. (accessed on 15 September 2020); The Pandemic Is Accelerating (2020), https://www.theguardian.com/world/video/2020/jun/20/the-pandemic-is-acceleratingwho-warns-of-dangerous-coronavirus-phase-video, World Health Organization. WHO Warns of Dangerous Coronavirus Phase—Video, World News|Guard. (accessed on 15 September 2020); Masser, B.M., Hyde, M.K., Ferguson, E., Exploring predictors of Australian community members’ blood donation intentions and blood donation-related behavior during the COVID-19 pandemic (2020) Transfusion, , [CrossRef]; Taş, A., Kiraz, E.D.E., Are future doctors ready to donate blood and encourage blood donation? (2018) Transfus. Apher. Sci, 57, pp. 569-572. , [CrossRef]; Blood Safety and Availability, Fact Sheet, , https://www.who.int/en/news-room/fact-sheets/detail/blood-safety-and-availability, World Health Organization (WHO). (n.d). (accessed on 15 September 2020); Sultan, F., Mehmood, T., Mahmood, M.T., Infectious pathogens in volunteer and replacement blood donors in Pakistan: A ten-year experience (2007) Int. J. Infect. Dis, 11, pp. 407-412. , [CrossRef]; Bednall, T.C., Bove, L.L., Donating blood: A meta-analytic review of self-reported motivators and deterrents (2011) Transfus. Med. Rev, 25, pp. 317-334. , [CrossRef]; Appiah, B., Burdine, J.N., Aftab, A., Asamoah-Akuoko, L., Anum, D.A., Kretchy, I.A., Samman, E.W., Bates, I., Determinants of intention to use mobile phone caller tunes to promote voluntary blood donation: Cross-sectional study (2018) JMIR MHealth UHealth, 6, p. e117. , [CrossRef]; France, J.L., France, C.R., Himawan, L.K., A path analysis of intention to redonate among experienced blood donors: An extension of the theory of planned behavior (2007) Transfusion, 47, pp. 1006-1013. , [CrossRef]; France, J.L., France, C.R., Himawan, L.K., Re-donation intentions among experienced blood donors: Does gender make a difference? (2008) Transfus. Apher. Sci, 38, pp. 159-166. , [CrossRef]; Lemmens, K.P.H., Abraham, C., Hoekstra, T., Ruiter, R.A.C., de Kort, W.L.A.M., Brug, J., Schaalma, H.P., Why don’t young people volunteer to give blood? An investigation of the correlates of donation intentions among young nondonors (2005) Transfusion, 45, pp. 945-955. , [CrossRef]; Barboza, S.I.S., da Costa, F.J., Social marketing of blood donation: An analysis of new donors’ predisposition (2014) Cad. Saude Publica, 30, pp. 1463-1474. , [CrossRef] [PubMed]; Gonçalez, T.T., Oliveira, C.d., Carneiro-Proietti, A.B.F., Moreno, E.C., Miranda, C., Larsen, N., Wright, D., de Almeida-Neto, C., Motivation and social capital among prospective blood donors in three large blood centers in Brazil (2013) Transfusion, 53, pp. 1291-1301. , [CrossRef]; Ferguson, E., Mechanism of altruism approach to blood donor recruitment and retention: A review and future directions (2015) Transfus. Med, 25, pp. 211-226. , [CrossRef] [PubMed]; Guiddi, P., Alfieri, S., Marta, E., Saturni, V., New donors, loyal donors, and regular donors: Which motivations sustain blood donation? (2015) Transfus. Apher. Sci, 52, pp. 339-344. , [CrossRef] [PubMed]; Devine, D., Goldman, M., Engelfriet, C.P., Reesink, H.W., Hetherington, C., Hall, S., Steed, A., Gogarty, G., Donor recruitment research (2007) Vox Sang, 93, pp. 250-259. , [CrossRef] [PubMed]; Ferguson, E., Farrell, K., Lawrence, C., Blood donation is an act of benevolence rather than altruism (2008) Health Psychol, 27, pp. 327-336. , [CrossRef]; Glynn, S.A., Kleinman, S.H., Schreiber, G.B., Zuck, T., McCombs, S., Bethel, J., Garratty, G., Williams, A.E., Motivations to donate blood: Demographic comparisons (2002) Transfusion, 42, pp. 216-225. , [CrossRef] [PubMed]; Glynn, S.A., Schreiber, G.B., Murphy, E.L., Kessler, D., Higgins, M., Wright, D.J., Mathew, S., Smith, J.W., Factors influencing the decision to donate: Racial and ethnic comparisons (2006) Transfusion, 46, pp. 980-990. , [CrossRef]; Schreiber, G.B., Schlumpf, K.S., Glynn, S.A., Wright, D.J., Tu, Y., King, M.R., Higgins, M.J., Nass, C.C., Convenience, the bane of our existence, and other barriers to donating (2006) Transfusion, 46, pp. 545-553. , [CrossRef] [PubMed]; Martín-Santana, J.D., Reinares-Lara, E., Romero-Domínguez, L., Modelling the role of anticipated emotions in blood donor behaviour: A cross-sectional study (2020) J. Econ. Psychol, 81. , [CrossRef]; Martín-Santana, J.D., Cabrera-Suárez, M.K., Déniz-Déniz, M.d., From culture to behaviour: Donor orientation and organisational identification (2020) J. Soc. Mark, , [CrossRef]; Martín-Santana, J.D., Robaina-Calderín, L., Reinares-Lara, E., Romero-Domínguez, L., Knowing the blood nondonor to activate behaviour (2019) Soc. Sci, 8. , [CrossRef]; Romero-Domínguez, L., Martín-Santana, J.D., Beerli-Palacio, A., Segmenting active blood donors according to their barriers to develop retention programs (2019) Transfus. Med. Rev, 33, pp. 176-182. , [CrossRef]; Martín-Santana, J.D., Beerli-Palacio, A., Romero-Domínguez, L., Recruitment strategies: Non-donor segmentation based on intrinsic and extrinsic stimuli (2020) Vox Sang, 115, pp. 47-59. , [CrossRef]; Ertz, M., Durif, F., Arcand, M., Collaborative consumption: Conceptual snapshot at a buzzword (2016) J. Entrep. Educ, 19, pp. 1-23. , [CrossRef]; Hawlitschek, F., Teubner, T., Gimpel, H., Consumer motives for peer-to-peer sharing (2018) J. Clean. Prod, 204, pp. 144-157. , [CrossRef]; Barnes, S.J., Mattsson, J., Understanding collaborative consumption: Test of a theoretical model (2017) Technol. Forecast. Soc. Chang, 118, pp. 281-292. , [CrossRef]; Belk, R., You are what you can access: Sharing and collaborative consumption online (2014) J. Bus. Res, 67, pp. 1595-1600. , [CrossRef]; Hamari, J., Sjöklint, M., Ukkonen, A., The sharing economy: Why people participate in collaborative consumption (2016) J. Assoc. Inf. Sci. Technol, 67, pp. 2047-2059. , [CrossRef]; Gazzola, P., Vătămănescu, E.-M., Andrei, A.G., Marrapodi, C., Users’ motivations to participate in the sharing economy: Moving from profits toward sustainable development (2019) Corp. Soc. Responsib. Env. Manag, 26, pp. 741-751. , [CrossRef]; Ertz, M., Lecompte, A., Durif, F., Dual roles of consumers: Towards an insight into collaborative consumption motives (2017) Int. J. Mark. Res, 59, pp. 725-748. , [CrossRef]; Belem, B., Isabel, F., A phenomenological approach to the collaborative consumer (2019) J. Consum. Mark, 36, pp. 705-714. , [CrossRef]; Bucher, E., Fieseler, C., Lutz, C., What’s mine is yours (for a nominal fee)—Exploring the spectrum of utilitarian to altruistic motives for Internet-mediated sharing (2016) Comput. Hum. Behav, 62, pp. 316-326. , [CrossRef]; Wilhelms, M.-P., Henkel, S., Falk, T., To earn is not enough: A means-end analysis to uncover peer-providers’ participation motives in peer-to-peer carsharing (2017) Technol. Forecast. Soc. Chang, 125, pp. 38-47. , [CrossRef]; Li, H., Wen, H., How is motivation generated in collaborative consumption: mediation effect in extrinsic and intrinsic motivation (2019) Sustainability, 11, p. 640. , [CrossRef]; Park, H., Armstrong, C.M.J., Is money the biggest driver? Uncovering motives for engaging in online collaborative consumption retail models for apparel (2019) J. Retail. Consum. Serv, 51, pp. 42-50. , [CrossRef]; Edbring, E.G., Lehner, M., Mont, O., Exploring consumer attitudes to alternative models of consumption: Motivations and barriers (2016) J. Clean. Prod, 123, pp. 5-15. , [CrossRef]; Ter Huurne, M., Ronteltap, A., Corten, R., Buskens, V., Antecedents of trust in the sharing economy: A systematic review (2017) J. Consum. Behav, 16, pp. 485-498. , [CrossRef]; Davis, F.D., Bagozzi, R.P., Warshaw, P.R., User acceptance of computer technology: A comparison of two theoretical models (1989) Manag. Sci, 35, pp. 982-1003. , [CrossRef]; Venkatesh, V., Davis, F.D., Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies (2000) Manag. Sci, 46, pp. 186-204. , [CrossRef]; Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D., User acceptance of information technology: Toward a unified view (2003) MIS Q, 27, pp. 425-478. , http://www.jstor.org/stable/30036540, (accessed on 15 September 2020). [CrossRef]; Benbasat, I., Barki, H., Quo vadis TAM? (2007) J. Assoc. Inf. Syst, 8, p. 16. , [CrossRef]; Lee, Y., Kozar, K.A., Larsen, K.R.T., The technology acceptance model: Past, present, and future (2003) Commun. Assoc, 12, p. 50. , http://aisel.aisnet.org/cgi/viewcontent.cgi?article=3217%7B&%7Dcontext=cais, (accessed on 15 September 2020). [CrossRef]; Junghwa, S., Byoungho, J., Bobby, G., Consumers’ purchase intention toward foreign brand goods (2013) Manag. Decis, 51, pp. 434-450. , [CrossRef]; Schilke, O., Wirtz, B.W., Consumer acceptance of service bundles: An empirical investigation in the context of broadband triple play (2012) Inf. Manag, 49, pp. 81-88. , [CrossRef]; Ajzen, I., The theory of planned behavior (1991) Organ Behav. Hum. Decis. Process, 50, pp. 179-211. , [CrossRef]; Ajzen, I., (2005) Attitudes, Personality, and Behavior, , McGraw-Hill Education: London, UK; Ajzen, I., (2002) Constructing a TpB Questionnaire: Conceptual and Methodological Considerations, , http://www.people.umass.edu/aizen/pdf/tpb.measurement.pdf, (accessed on 15 September 2020); Ortbach, K., Köffer, S., Bode, M., Niehaves, B., Individualization of Information Systems—Analyzing Antecedents of IT Consumerization Behavior (2013) Proceedings of the International Conference on Information Systems (ICIS 2013), , https://www.wi.uni-muenster.de/research/publications/88668, Milano, Italy, 15–18 December (accessed on 15 September 2020); Chen, L., Applying the extended theory of planned behaviour to predict Chinese people’s non-remunerated blood donation intention and behaviour: The roles of perceived risk and trust in blood collection agencies (2017) Asian J. Soc. Psychol, 20, pp. 221-231. , [CrossRef]; Hawlitschek, F., Teubner, T., Weinhardt, C., Trust in the sharing economy (2016) Die Unternehmung, 70, pp. 26-44. , [CrossRef]; Pavlou, P.A., Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model (2003) Int. J. Electron. Commer, 7, pp. 101-134. , [CrossRef]; Pavlou, P.A., Fygenson, M., Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior (2006) MIS Q, 30, pp. 115-143. , [CrossRef]; Gefen, D., Benbasat, I., Pavlou, P., A research agenda for trust in online environments (2008) J. Manag. Inf. Syst, 24, pp. 275-286. , [CrossRef]; Mittendorf, C., The implications of trust in the sharing economy—An empirical analysis of uber (2017) HICSS; HICSS Conference Office: Maui, Hawaii, USA, pp. 5837-5843. , [CrossRef]; Tussyadiah, I.P., Pesonen, J., Drivers and barriers of peer-to-peer accommodation stay—An exploratory study with American and Finnish travellers (2018) Curr. Issues Tour, 21, pp. 703-720. , [CrossRef]; Möhlmann, M., Collaborative consumption: Determinants of satisfaction and the likelihood of using a sharing economy option again (2015) J. Consum. Behav, 14, pp. 193-207. , [CrossRef]; Teubner, T., Hawlitschek, F., The economics of peer-to-peer online sharing (2018) The Rise of the Sharing Economy: Exploring the Challenges and Opportunities of Collaborative Consumption, pp. 129-156. , Albinsson, P., Perera, Y.B., Eds.; Praege: Santa Barbara, CA, USA; Evans, R., Ferguson, E., Defining and measuring blood donor altruism: A theoretical approach from biology, economics and psychology (2014) Vox Sang, 106, pp. 118-126. , [CrossRef]; Ferguson, E., Atsma, F., de Kort, W., Veldhuizen, I., Exploring the pattern of blood donor beliefs in first-time, novice, and experienced donors: Differentiating reluctant altruism, pure altruism, impure altruism, and warm glow (2012) Transfusion, 52, pp. 343-355. , [CrossRef]; Torrent-Sellens, J., Collaborative behavior and the sharing economy: Pan-European evidence for a new economic approach (2020) Strategy and Behaviors in the Digital Economy, , IntechOpen: London, UK; (2014) The UOC’s Code of Good Practice in Research and Innovation (CBPRI) UOC Doctoral School, , https://research.uoc.edu/portal/_resources/CA/documents/recerca/kit_etica/Juliol_2016/kit_angles_20160712/1_Code_Good_Practices_2014_EN.pdf, Universitat Oberta de Catalunya, Barcelona. (accessed on 15 December 2020); Torrent-Sellens, J., Díaz-Chao, Á., Soler-Ramos, I., Saigí-Rubió, F., Modelling and predicting ehealth usage in Europe: A multidimensional approach from an online survey of 13,000 European Union internet users (2016) J. Med. Internet Res, 18, p. e188. , [CrossRef]; Torrent-Sellens, J., Díaz-Chao, Á., Soler-Ramos, I., Saigí-Rubió, F., Modeling and predicting outcomes of ehealth usage by european physicians: Multidimensional approach from a survey of 9196 general practitioners (2018) J. Med. Internet Res, 20, p. e279. , [CrossRef]; Eysenbach, G., Improving the quality of Web surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) (2004) J. Med. Internet Res, 6, p. e34. , [CrossRef]; Kerlinger, F., (2001) Research of Behavior: Research Methods in Social Sciences, , McGraw-Hill: New York, NY, USA; Muñiz, J., Elosua, P., Hambleton, R.K., International test commission guidelines for test translation and adaptation: Second edition, Background (2013) Psicothema, 25, pp. 151-157. , [CrossRef] [PubMed]; Spielberger, C.D., Hambleton, R.K., Merenda, P.F., (2001) Adapting Educational and Psychological Tests for Cross-Cultural Assessment, , Erlbaum Lawrence: London, UK; Roldán, J.L., Sánchez-Franco, M.J., Variance-based structural equation modeling: Guidelines for using partial least squares in information systems research (2012) Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems, pp. 193-221. , Mora, M., Gelman, O., Steenkamp, A., Raisinghani, M., Eds.; IGI Global: Hershey, PA, USA, [CrossRef]; 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.; Sage Publications, Inc.: Thousand Oaks, CA, USA; Chin, W.W., The partial least squares approach to structural equation modelling (1998) Modern Methods for Business Research, pp. 295-358. , Marcoulides, G.A., Ed.; Lawrence Erlbaum Associates: Mahwah, NJ, USA; Sarstedt, M., Ringle, C.M., Hair, J.F., Partial Least Squares Structural Equation Modeling (2017) Handbook of Market Research, pp. 1-40. , Homburg, C., Klarmann, M., Vomberg, A., Eds.; Springer International Publishing: Cham, Switzerland; Wen-Lung, S., Sarstedt, M., Hair, J.F., Internet research using partial least squares structural equation modeling (PLS-SEM) (2019) Internet Res, 29, pp. 398-406. , [CrossRef]; Awang, Z., Afthanorhan, A., Mohamad, M., Asri, M., An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (2015) Int. J. Tour. Policy, 6, pp. 29-45. , [CrossRef]; Jana, R., Rosnita, I.I., Marc, R.C., The agony of choice for medical tourists: A patient satisfaction index model (2018) J. Hosp. Tour. Technol, 9, pp. 267-279. , [CrossRef]; Hair, J., Matthews, L., Matthews, R.L., Sarstedt, M., PLS-SEM or CB-SEM: Updated guidelines on which method to use (2017) Int. J. Multivar. Data Anal, 1, pp. 107-123. , [CrossRef]; Giles, M., Cairns, E., Blood donation and Ajzen’s theory of planned behaviour: An examination of perceived behavioural control (1995) Br. J. Soc. Psychol, 34, pp. 173-188. , [CrossRef]; Giles, M., McClenahan, C., Cairns, E., Mallet, J., An application of the Theory of Planned Behaviour to blood donation: The importance of self-efficacy (2004) Health Educ. Res, 19, pp. 380-391. , [CrossRef]; Robinson, N.G., Masser, B.M., White, K.M., Hyde, M.K., Terry, D.J., Predicting intentions to donate blood among nondonors in Australia: An extended theory of planned behavior (2008) Transfusion, 48, pp. 2559-2567. , [CrossRef] [PubMed]; Veldhuizen, I., Ferguson, E., de Kort, W., Donders, R., Atsma, F., Exploring the dynamics of the theory of planned behavior in the context of blood donation: Does donation experience make a difference? (2011) Transfusion, 51, pp. 2425-2437. , [CrossRef] [PubMed]; McMahon, R., Byrne, M., Predicting donation among an Irish sample of donors and nondonors: Extending the theory of planned behavior (2008) Transfusion, 48, pp. 321-331. , [CrossRef]; France, C.R., France, J.L., Wissel, M.E., Kowalsky, J.M., Bolinger, E.M., Huckins, J.L., Enhancing blood donation intentions using multimedia donor education materials (2011) Transfusion, 51, pp. 1796-1801. , [CrossRef] [PubMed]; Masser, B.M., White, K.M., Hyde, M.K., Terry, D.J., Robinson, N.G., Predicting blood donation intentions and behavior among Australian blood donors: Testing an extended theory of planned behavior model (2009) Transfusion, 49, pp. 320-329. , [CrossRef] [PubMed]; Masser, B.M., White, K.M., Hamilton, K., McKimmie, B.M., Beliefs underlying blood donors’ intentions to donate during two phases of an avian influenza outbreak (2012) Transfus. Apher. Sci, 46, pp. 47-52. , [CrossRef]; Charseatd, P., Role of religious beliefs in blood donation behavior among the youngster in Iran: A theory of planned behavior perspective (2016) J. Islam. Mark, 7, pp. 250-263. , [CrossRef]; Masser, B.M., White, K.M., Hyde, M.K., Terry, D.J., The psychology of blood donation: Current research and future directions (2008) Transfus. Med. Rev, 22, pp. 215-233. , [CrossRef]; Rivis, A., Sheeran, P., Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis (2003) Curr. Psychol, 22, pp. 218-233. , [CrossRef]; Armitage, C.J., Conner, M., Social cognitive determinants of blood donation (2001) J. Appl. Soc. Psychol, 31, pp. 1431-1457. , [CrossRef]; Holdershaw, J., Gendall, P., Wright, M., Predicting blood donation behaviour: Further application of the theory of planned behaviour (2011) J. Soc. Mark, 1, pp. 120-132. , [CrossRef]; Centola, D., van de Rijt, A., Choosing your network: Social preferences in an online health community (2015) Soc. Sci. Med, 125, pp. 19-31. , [CrossRef] [PubMed]; Masser, B.M., White, K.M., Hamilton, K., McKimmie, B.M., An examination of the predictors of blood donors’ intentions to donate during two phases of an avian influenza outbreak (2011) Transfusion, 51, pp. 548-557. , [CrossRef] [PubMed]; Renner, S., Lindenmeier, J., Tscheulin, D.K., Drevs, F., Guilt appeals and prosocial behavior: An experimental analysis of the effects of anticipatory versus reactive guilt appeals on the effectiveness of blood donor appeals (2013) J. Nonprofit Public Sect. Mark, 25, pp. 237-255. , [CrossRef]; Kowalsky, J.M., France, C.R., France, J.L., Whitehouse, E.A., Himawan, L.K., Blood donation fears inventory: Development and validation of a measure of fear specific to the blood donation setting (2014) Transfus. Apher. Sci, 51, pp. 146-151. , [CrossRef]; Faqah, A., Moiz, B., Shahid, F., Ibrahim, M., Raheem, A., Assessment of blood donation intention among medical students in Pakistan—An application of theory of planned behavior (2015) Transfus. Apher. Sci, 53, pp. 353-359. , [CrossRef] [PubMed]; Zeelenberg, M., van Dijk, W.W., Manstead, A.S.R., van der Pligt, J., On bad decisions and disconfirmed expectancies: The psychology of regret and disappointment (2000) Cogn. Emot, 14, pp. 521-541. , [CrossRef]; Fong, C.P.S., Wyer, R.S., Cultural, social, and emotional determinants of decisions under uncertainty (2003) Organ. Behav. Hum. Decis. Process, 90, pp. 304-322. , [CrossRef]; Masser, B., Ferguson, E., Merz, E.M., Williams, L., Beyond description: The predictive role of affect, memory, and context in the decision to donate or not donate blood (2020) Transfus. Med. Hemotherapy, 47, pp. 175-185. , [CrossRef]; Ferguson, E., France, C.R., Abraham, C., Ditto, B., Sheeran, P., Improving blood donor recruitment and retention: Integrating theoretical advances from social and behavioral science research agendas (2007) Transfusion, 47, pp. 1999-2010. , [CrossRef]}, source = {Scopus}, timestamp = {2021-08-28T19:41:30.000+0200}, title = {Using digital platforms to promote blood donation: Motivational and preliminary evidence from latin america and spain}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104483394&doi=10.3390%2fijerph18084270&partnerID=40&md5=ce844ac01398d7739ce580abdbf823a1}, volume = 18, year = 2021 }