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International Review on Public and Nonprofit Marketing

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29-04-2023 | Original Article

Predicting the cause-related marketing participation intention by examining big-five personality traits and moderating role of subjective happiness

Authors: Ritesh Patel, Viral Bhatt, Sujo Thomas, Twinkle Trivedi, Sudhir Pandey

Published in: International Review on Public and Nonprofit Marketing | Issue 1/2024

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Abstract

Cause-related marketing (CRM) has emerged as an effective strategic management tool that businesses have adopted by associating their brand with a designated cause. CRM activity is linked to a non-profit organization wherein the consumers participate via purchase-triggered donations. The impetus for businesses to engage in CRM is evident, but individual differences in CRM participation intention have not been thoroughly examined. Although personality has been established as a significant cause of individual differences in behaviour, there is no clear understanding of the effects of personality traits on corresponding processes underlying CRM participation intention. The current paper attempts to empirically predict the psychological processes (big five personality traits) eliciting CRM participation intention. In addition, we have examined and validated the moderating role of subjective happiness on personality traits and CRM participation intention. Primary data has been collected from 894 respondents and analysed by adopting deep neural network architecture based on the innovative dual-stage PLS-SEM and ANN methods to predict and rank the factors influencing the CRM participation intention. The results revealed the predictors of CRM participation intention by establishing normalized importance and found that agreeableness was the strongest predictor, followed by conscientiousness, subjective happiness, openness, age and extraversion. In contrast, neuroticism, education and income were found insignificant. The findings provide a valuable rationale to marketers and practitioners for employing personality profiling and predicting behaviours by personality traits, thereby engaging CRM consumers with content, messages or advertisement in a way that will resonate deeply with them.

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Agbo, A. A., & Ngwu, C. N. (2017). Aversion to happiness and the experience of happiness: The moderating roles of personality. Personality and Individual Differences, 111, 227–231.CrossRef

Aguinis, H., Beaty, J. C., Boik, R. J., & Pierce, C. A. (2005). Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review. Journal of Applied Psychology, 90, 94–107.CrossRefPubMed

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications.

Akin, A. (2012). The relationships between Internet addiction, subjective vitality, and subjective happiness: A structural equation modeling. CyberPsychology, Behavior and Social Networking, 15, 404–410.CrossRefPubMed

Al-Shihi, H., Sharma, S. K., & Sarrab, M. (2018). Neural network approach to predict mobile learning acceptance. Education and Information Technologies, 23(5), 1805–1824. https://doi.org/10.1007/s10639-018-9691-9CrossRef

Amawate, V., Deb, M., & Manchanda, M. (2019). Cause-Related Marketing and Its Impact on Buying Intention. Theoretical Economics Letters, 9(6), 2139–2151. https://doi.org/10.4236/tel.2019.96135CrossRef

Anglim, J., & Grant, S. (2016). Predicting psychological and subjective well-being from personality: Incremental prediction from 30 facets over the Big 5. Journal of Happiness Studies, 17(1), 59–80.CrossRef

Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999). The role of emotions in marketing. Journal of the Academy of Marketing Science, 27(2), 184–206. https://doi.org/10.1177/0092070399272005CrossRef

Barclay, D. W., Higgins, C. A., & Thompson, R. (1995). The partial least squares approach to causal modeling: Personal computer adoption and use as illustration. Technology Studies, 2(2), 285–309.

Basil, D. Z., & Weber, D. (2006). Values motivation and concern for appearances: the effect of personality traits on responses to corporate social responsibility. International Journal of Nonprofit and Voluntary Sector Marketing, 11(1), 61–72. https://doi.org/10.1002/nvsm.38CrossRef

Baumgartner, Hans. (2002). Toward a personology of the consumer. Journal of Consumer Research, 29(2), 286–292. https://doi.org/10.1086/341578CrossRef

Bekkers, R. (2005). Participation in voluntary associations: Relations with resources, personality, and political values. Political Psychology, 26(3), 439–454. https://doi.org/10.1111/j.1467-9221.2005.00425.xMathSciNetCrossRef

Bekkers, R., & Wiepking, P. (2011a). Who gives? A literature review of predictors of charitable giving Part One: Religion, education, age and socialization. Voluntary Sector Review, 2(3), 337–365. https://doi.org/10.1332/204080511X6087712CrossRef

Bekkers, R., & Wiepking, P. (2011b). A literature review of empirical studies of philanthropy: Eight mechanisms that drive charitable giving. Nonprofit and voluntary sector quarterly, 40(5), 924–973. https://doi.org/10.1177/0899764010380927CrossRef

Bhatti, H. Y., Galan-Ladero, M. M., & Galera-Casquet, C. (2022). Cause-related marketing: A systematic review of the literature. International Review on Public and Nonprofit Marketing, 1–40. https://doi.org/10.1007/s12208-021-00326-y

Blackwell, R., DSouza, C., Taghian, M., Miniard, P., & Engel, J. (2006) Consumer behaviour: an Asia Pacific approach. Thomson, South Melbourne.

Bradburn, N. M. (1969). The Structure of Psychological Well-being. Aldine.

Brønn, P. S., & Vrioni, A. B. (2001). Corporate social responsibility and cause-related marketing: An overview. International Journal of Advertising, 20(2), 207–222. https://doi.org/10.1080/02650487.2001.11104887CrossRef

Brown, S., & Taylor, K. (2015). Charitable behaviour and the big five personality traits: Evidence from UK panel data. Sheffield economic paper research series (pp. 30). IZA Discussion Paper No. 9318. https://ssrn.com/abstract=2656503

Camilleri, A. R. (2021). Who doesn’t read online consumer reviews, and why? Personality and Individual Differences, 179, 110954. https://doi.org/10.1016/j.paid.2021.110954CrossRef

Caplan, S. E. (2003). Preference for online social interaction: A theory of problematic Internet use and psychosocial wellbeing. Communication Research, 30(6), 625–648. https://doi.org/10.1177/0093650203257842CrossRef

Carlo, G., Okun, M. A., Knight, G. P., & de Guzman, M. R. T. (2005). The interplay of traits and motives on volunteering: Agreeableness, extraversion and prosocial value motivation. Personality and Individual Differences, 38(6), 1293–1305. CrossRef

Chan, F. T. S., & Chong, A. Y. L. (2012). A sem–neural network approach for understanding determinants of interorganizational system standard adoption and performances. Decision Support System, 54(1), 621–630. https://doi.org/10.1016/j.dss.2012.08.009CrossRef

Chéron, E., Kohlbacher, F., & Kusuma, K. (2012). The effects of brand-cause fit and campaign duration on consumer perception of cause-related marketing in Japan. Journal of Consumer Marketing., 29(5), 357–368. https://doi.org/10.1108/07363761211247479CrossRef

Chou, C. P., & Bentler, P. M. (1995). Estimates and tests in structural equation modelling. In R. Hoyle (Ed.), Structural Structural equation modeling: Issues, concepts, and applications (pp. 37–55). Sage.

Christofi, M., Vrontis, D., Leonidou, E., & Thrassou, A. (2018). Customer engagement through choice in cause-related marketing: A potential for global competitiveness. International Marketing Review. https://doi.org/10.1108/IMR-04-2018-0133CrossRef

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.

Cook, R. D. (1977). Detection of influential observations in linear regression. Technometrics, 19, 15–18. https://doi.org/10.2307/1268249MathSciNetCrossRef

Crane, A. (2001). Unpacking the ethical product. Journal of Business Ethics, 30(4), 361–373. https://doi.org/10.1023/A:1010793013027CrossRef

de Hesselle, L. C., Rozgonjuk, D., Sindermann, C., Pontes, H. M., & Montag, C. (2021). The associations between Big Five personality traits, gaming motives, and self-reported time spent gaming. Personality and Individual Differences, 171, 110483. https://doi.org/10.1016/j.paid.2020.110483CrossRef

Deb, M., & Amawate, V. (2019). Extending the knowledge on cause-related marketing (CRM) campaign with a focus on skepticism. VINE Journal of Information and Knowledge Management Systems. https://doi.org/10.1108/VJIKMS-05-2019-0061CrossRef

Demir, B., & Kumkale, G. T. (2013). Individual differences in willingness to become an organ donor: A decision tree approach to reasoned action. Personality and Individual Differences, 55(1), 63–69.CrossRef

DeNeve, K. M., & Cooper, H. (1998). The happy personality: A meta-analysis of 137 personality traits and subjective wellbeing. Psychological Bulletin, 124(2), 197.CrossRefPubMed

DeYoung, C. G. (2014). Cybernetic big five theory. Journal of Research in Personality. https://doi.org/10.1016/j.jrp.2014.07.004CrossRef

Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective wellbeing: Three decades of progress. Psychological Bulletin, 125, 276–302.CrossRef

Eikenberry, A. M. (2009). "The Hidden Costs of Cause Marketing". Public Administration.

Ekhlassi, A., Maghsoodi, V., & Mehrmanesh, S. (2012). Determining the integrated marketing communication tools for different stages of customer relationships in the digital era. International Journal of Information and Electronics Engineering, 2(5), 761–765. https://doi.org/10.7763/IJIEE.2012.V2.202CrossRef

Ferguson, E. (2004). Conscientiousness, emotional stability, perceived control and the frequency, recency, rate and years of blood donor behaviour. British Journal of Health Psychology, 9(3), 293–314. https://doi.org/10.1348/1359107041557011CrossRefPubMed

Galan Ladero, M. M., Galera Casquet, C., & Singh, J. (2015). Understanding factors influencing consumer attitudes toward cause-related marketing. International Journal of Nonprofit and Voluntary Sector Marketing, 20(1), 52–70.

Geisser, S. (1974). A predictive approach to the random effects model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101MathSciNetCrossRef

Ghoshal, D. (2020). NGOs say India’s new rules on foreign funding will hit operations. Reuters. Retrieved from https://in.reuters.com/article/india-ngo/ngos-say-indias-new-rules-on-foreign-funding-will-hit-operations-idINKBN26M5PG

Gilbert, D. (2009). Stumbling on happiness. Vintage Canada.

Goldberg, L. R. (1992). The development of markers for the Big Five factor structure. Psychological Assessment, 4, 26–42.CrossRef

Goldberg, L. R., & Saucier, G. (1995). So what do you propose we use instead? Psychological Bulletin, 117, 221–225.CrossRefPubMed

Grau, S. L., & Folse, J. A. G. (2007). Cause-related marketing (CRM): The influence of donation proximity and message-framing cues on the less-involved consumer. Journal of Advertising, 36(4), 19–33.

Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121.

Hair, E., Halle, T., Terry-Humen, E., Lavelle, B., & Calkins, J. (2006). Children’s school readiness in the ECLS-K: Predictions to academic, health, and social outcomes in first grade. Early Childhood Research Quarterly, 21(4), 431–454.CrossRef

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). The use of partial least squares (PLS) to address marketing management topics. Journal of Marketing Theory and Practice, 19(2), 135–138. https://doi.org/10.2753/MTP1069-6679190202CrossRef

Hair, J. F., Jr., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. Sage Publications.

Hampson, S. E. (2012). Personality processes: Mechanisms by which personality traits “get outside the skin.” Annual Review of Psychology, 63, 315–339. https://doi.org/10.1146/annurev-psych-120710-100419CrossRefPubMed

Hartmann, M., Klink, J., & Simons, J. (2015). Cause-related marketing in the German retail sector: Exploring the role of consumers’ trust. Food Policy, 52, 108–114. https://doi.org/10.1016/j.foodpol.2014.06.012CrossRef

Hawkins, R. (2015). Shifting conceptualizations of ethical consumption: Cause-related marketing in India and the USA. Geoforum, 67, 172–182. https://doi.org/10.1016/j.geoforum.2015.05.007CrossRef

Henseler, J., & Fassott, G. (2009). Testing Moderating effects with PLS path modeling. An overview over the available approaches. Handbook of Partial Least Squares: Concepts, methods and applications in marketing and related fields. Berlin

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.CrossRef

Hew, T. S., & Kadir, S. L. (2016). Behavioural intention in cloud-based VLE: An extension to Channel Expansion Theory. Computers in Human Behavior, 64, 9–20. https://doi.org/10.1016/j.chb.2016.05.075CrossRef

Hew, T. S., & Kadir, S. L. (2017). Applying channel expansion and self-determination theory in predicting use behaviour of cloud-based VLE. Behaviour & Information Technology, 36(9), 875–896.CrossRef

Hew, T. S., Leong, L. Y., Ooi, K. B., & Chong, A. Y. L. (2016). Predicting drivers of mobile entertainment adoption: A two-stage sem-artificial-neural-network analysis. Journal of Computer Information Systems, 56(4), 352–370. https://doi.org/10.1080/08874417.2016.1164497

John, O. P., & Srivastava, S. (1999a). The Big-Five trait taxonomy: History, measurement, and theoretical perspectives in Handbook of personality: Theory and research, Pervin, L., John, O. P. (ed). Guilford, New York.

John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues. Handbook of personality: Theory and research (114–158). The Guilford Press.

John, O. P., & Srivastava, S. (1999b). The Big Five Trait Taxonomy: History, Measurement, and Theoretical Perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of Personality: Theory and Research (vol. 2, pp. 102–138). Guilford Press.

Kanacri, B. P. L., Pastorelli, C., Eisenberg, N., Zuffianò, A., Castellani, V., & Caprara, G. V. (2014). Trajectories of prosocial behavior from adolescence to early adulthood: Associations with personality change. Journal of Adolescence, 37(5), 701–713.CrossRef

Kline, R., Bankert, A., Levitan, L., & Kraft, P. (2019). Personality and prosocial behavior: A multilevel meta-analysis. Political Science Research and Methods, 7(1), 125–142.CrossRef

Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7). https://doi.org/10.17705/1jais.00302

Kock, N. (2012). Warp PLS 3.0 user manual. Laredo, TX: ScriptWarp Systems.

Kureshi, S., & Thomas, S. (2020). Testing the influence of message framing, donation magnitude, and product category in a cause-related marketing context. Journal of Marketing Communications, 26(3), 268–289. https://doi.org/10.1080/13527266.2018.1528475CrossRef

Kwon, C., & Choi, E. (2021). Extroversion and subjective wellbeing among Korean university students: the moderating role of attachment. Psychological Reports, 0033294121991828. https://doi.org/10.1177/0033294121991828

Laborde, S., Gerlach, S., & Vaughan, R. (2021). Hitchhiking: Associations with big five and emotional competences. Psychological Reports, 124(5), 2229–2236. https://doi.org/10.1177/0033294120953556CrossRefPubMed

Lafferty, B., Abell, A., & McCafferty, R. (2016). An evolutionary process model of cause-related marketing and systematic review of the empirical literature: An evolutionary process model and systematic review of cause-related marketing. Psychology & Marketing., 33, 951–970. https://doi.org/10.1002/mar.20930CrossRef

Lee, J., & Kim, J. (2016). The effect of consumer characteristics on the cause-related marketing campaign: The role of personal life values. International Journal of Business and Management, 11(9), 82.

Lee, J., & Lee, M. (2021). The role of personality in consumer attitudes toward cause-related sport marketing. International Journal of Human Movement Science, 15, 23–45. https://doi.org/10.23949/ijhms.2021.12.15.3.2CrossRefADS

Lee, S. A. (2020). How much “Thinking” about COVID-19 is clinically dysfunctional? Brain, Behaviour, and Immunity, 87, 97–98. https://doi.org/10.1016/j.bbi.2020.04.067CrossRef

Lee, V. H., Hew, J. J., Leong, L. Y., Tan, G. W. H., & Ooi, K. B. (2020). Wearable payment: A deep learning-based dual-stage SEM-ANN analysis. Expert Systems with Applications, 157, 113477. https://doi.org/10.1016/j.eswa.2020.113477CrossRef

Leng, J., Guo, Q., Ma, B., Zhang, S., & Sun, P. (2020). Bridging personality and online prosocial behavior: The roles of empathy, moral identity, and social self-efficacy. Frontiers in Psychology, 2436. https://doi.org/10.3389/fpsyg.2020.575053

Leong, K. E. (2013). Factors that influence the understanding of good mathematics teaching. EURASIA Journal of Mathematics Science & Technology Education, 9(3), 309–318.CrossRef

Levene, H. (1960). Robust Tests for Equality of Variances. In I. Olkin (Ed.), Contributions to Probability and Statistics (pp. 278–292). Stanford University Press.

Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14–24. https://doi.org/10.1016/j.ijinfomgt.2016.10.008CrossRef

Liu, W., & Aaker, J. (2008). The happiness of giving: The time-ask effect. Journal of Consumer Research, 35(3), 543–557.CrossRef

Lyubomirsky, S., & Lepper, H. (1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46, 137–155. https://doi.org/10.1023/A:1006824100041CrossRef

Matz, S. C., Gladstone, J. J., & Stillwell, D. (2016). Money buys happiness when spending fits our personality. Psychological Science, 27(5), 715–725. https://doi.org/10.1177/0956797616635200CrossRefPubMed

Matz, S. C., & Harari, G. M. (2021). Personality–place transactions: Mapping the relationships between Big Five personality traits, states, and daily places. Journal of Personality and Social Psychology, 120(5), 1367.CrossRefPubMed

McCrae, R. R., & John, O. P. (1992). An introduction to the five-factor model and its applications. Journal of Personality, 60(2), 175–215. https://doi.org/10.1111/j.1467-6494.1992.tb00970.xCrossRefPubMed

Menon, K. (2022). Designing transformative learning experiences for managerial transition to integrative CSR. Business Horizons, 65(4), 519–528.CrossRef

Milfont, T. L., & Sibley, C. G. (2012). The Big Five personality traits and environmental engagement: Associations at the individual and societal level. Journal of Environmental Psychology, 32, 187–195. https://doi.org/10.1016/j.jenvp.2011.12.006CrossRef

Mogilner, C., Aaker, J., & Kamvar, S. D. (2012). How happiness affects choice. Journal of Consumer Research, 39(2), 429–443. https://doi.org/10.1086/663774CrossRef

Mogilner, C., Kamvar, S. D., & Aaker, J. (2011). The shifting meaning of happiness. Social Psychological and Personality Science, 2(4), 395–402. https://doi.org/10.1177/1948550610393987CrossRef

Moll, J., Krueger, F., Zahn, R., Pardini, M., de Oliveira-Souza, R., & Grafman, J. (2006). Human fronto–mesolimbic networks guide decisions about charitable donation. Proceedings of the National Academy of Sciences, 103(42), 15623–15628. https://doi.org/10.1073/pnas.0604475103CrossRefADS

Mugenda, O. M., & Mugenda, A. G. (2003). Research Methods: Quantitative and Qualitative Approaches. ACTS Press.

Mullen, J. (1997). Performance-based corporate philanthropy: How ‘giving smart’ can further corporate goals. Public Relations Quarterly, 42(2), 42–48.

Nair, S., Shams, R., Siachou, E., & Vrontis, D. (2021). The behavioural perspective of cause-related marketing: A conceptual framework of behavioural antecedents and outcomes. Journal for Global Business Advancement, 14(4), 500–519. https://doi.org/10.1504/JGBA.2021.118750CrossRef

Nikčević, A. V., Marino, C., Kolubinski, D. C., Leach, D., & Spada, M. M. (2021). Modelling the contribution of the Big Five personality traits, health anxiety, and COVID-19 psychological distress to generalized anxiety and depressive symptoms during the COVID-19 pandemic. Journal of Affective Disorders, 279, 578–584. https://doi.org/10.1016/j.jad.2020.10.053CrossRefPubMed

Nisbet, E. K., Zelenski, J. M., & Murphy, S. A. (2011). Happiness is in our nature: Exploring nature relatedness as a contributor to subjective wellbeing. Journal of Happiness Studies, 12(2), 303–322.CrossRef

Oishi, S., & Schimmack, U. (2010). Residential mobility, wellbeing, and mortality. Journal of Personality and Social Psychology, 98(6), 980–994. https://doi.org/10.1037/a0019389CrossRefPubMed

Okun, M. A., John, P., & Karen, S. R. (2007). Unpacking the relation between extraversion and volunteering in later life: The role of social capital. Personality and Individual Differences, 42, 1467–1477. https://doi.org/10.1016/j.paid.2006.10.020CrossRefPubMedPubMedCentral

Omoto, A. M., Snyder, M., & Hackett, J. D. (2010). Personality and motivational antecedents of activism and civic engagement. Journal of Personality, 78(6), 1703–1734. https://doi.org/10.1111/j.1467-6494.2010.00667.xCrossRefPubMed

Ooi, K. B., Lee, V. H., Tan, G. W. H., Hew, T. S., & Hew, J. J. (2018). Cloud computing in manufacturing: The next industrial revolution in Malaysia? Expert Systems with Applications, 93, 376–394. https://doi.org/10.1016/j.eswa.2017.10.009CrossRef

Paterson, H., Reniers, R., & Völlm, B. (2009). Personality types and mental health experiences of those who volunteer for helplines. British Journal of Guidance and Counselling, 37(4), 459–471. https://doi.org/10.1080/03069880903161419CrossRef

Paunonen, S. V., & Ashton, M. C. (2001). Big Five factors and facets and the prediction of behavior. Journal of Personality and Social Psychology, 81(3), 524–539. https://doi.org/10.1037/0022-3514.81.3.524CrossRefPubMed

Penner, L. A., Fritzsche, B. A., Craiger, J. P., & Freifeld, T. R. (1995). Measuring the prosocial personality. Advances in Personality Assessment, 10, 147–163.

Pinazo, D., Barrós-Loscertales, A., PerisPichastor, R., Ventura-Campos, N., & Avila, C. (2016). Neuroticism predisposes to donation more than agreeableness: An fMRI study. Journal of Neuroscience, Psychology, and Economics, 9, 100–108. https://doi.org/10.1037/npe0000054CrossRef

Pitt, C., Plangger, K., & Eriksson, T. (2020). Accommodation eWOM in the sharing economy: Automated text comparisons from a large sample. Journal of Hospitality Marketing & Management, 1–18. https://doi.org/10.1080/19368623.2020.1781733

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. https://doi.org/10.1037/0021-9010.88.5.879CrossRefPubMed

Polonsky, M. J., & Wood, G. (2001). Can the over-commercialization of cause-related marketing harm society? Journal of Macromarketing, 21(1), 8–22. https://doi.org/10.1177/0276146701211002CrossRef

Ratnawat, R. G., & Borgave, S. A. (2019). Impact of big-five personality on impulsive buying behaviour. International Journal of Multidisciplinary, 4(6), 500–505.

Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3 [computer software]. SmartPLS GmbH. California: Scientific Research.

Roberts, B., Luo, J., Briley, D., Chow, P., Su, R., & Hill, P. (2017). A systematic review of personality trait change through intervention. Psychological Bulletin. https://doi.org/10.1037/bul0000088CrossRefPubMed

Rossberger, R. J. (2014). National personality profiles and innovation: The role of cultural practices. Creativity and Innovation Management, 23(3), 331–348. https://doi.org/10.1111/caim.12075CrossRef

Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611. https://doi.org/10.2307/2333709MathSciNetCrossRef

Sharma, S. K., Al-Badi, A. H., Govindaluri, S. M., & A-Kharusi, M. H. (2016). Predicting motivators of cloud computing adoption: A developing country perspective. Computers and Human Behaviour, (62), 61–69. https://doi.org/10.1016/j.chb.2016.03.073

Shiner, R. L. (2018). What are the dimensions and bases for lasting individual differences in emotion? In R. Davidson, A. Hackman, A. Fox, & R. Lapate (Eds.), The nature of emotion: Fundamental questions (2nd ed., pp. 61–64). Oxford University Press.

Sim, J. J., Tan, G. W. H., Wong, J. C., Ooi, K. B., & Hew, T. S. (2014). Understanding and predicting the motivators of mobile music acceptance–a multi-stage MRA-artificial neural network approach. Telematics and Informatics, 31(4), 569–584.CrossRef

Sindhu, S. (2022). Cause-related marketing—an interpretive structural model approach. Journal of Nonprofit & Public Sector Marketing, 34(1), 102–128. https://doi.org/10.1080/10495142.2020.1798851MathSciNetCrossRef

Smillie, L. D. (2013). Extraversion and reward processing. Current Directions in Psychological Science, 22(3), 167–172. https://doi.org/10.1177/0963721412470133CrossRef

Sofi, S. A., & Najar, S. A. (2018). Impact of personality influencers on psychological paradigms: An empirical-discourse of big five framework and impulsive buying behaviour. European Research on Management and Business Economics, 24(2), 71–81.CrossRef

Steel, P., Schmidt, J., & Shultz, J. (2008). Refining the relationship between personality and subjective well-being. Psychological Bulletin, 134, 138–161. https://doi.org/10.1037/0033-2909.134.1.138CrossRefPubMed

Sura, S., Ahn, J., & Lee, O. (2017). Factors influencing intention to donate via social network site (SNS): From Asian’s perspective. Telematics and Informatics, 34(1), 164–176. https://doi.org/10.1016/j.tele.2016.04.007CrossRef

Susanto, A., Suharyono, S., Musadieq, M. A., & Iqbal, M. (2021). Determinant factors of donation intention and the role of religiosity: A case study in Indonesia. The Journal of Asian Finance, Economics and Business, 8(5), 1155–1169. https://doi.org/10.13106/jafeb.2021CrossRef

Tackett, J., Hernandez, M., & Eisenberg, N. (2019). Agreeableness. In D. P. McAdams, R. L. Shiner, & J. L. Tackett (Eds.), Handbook of Personality Development (1st ed., pp. 171–185). The Guilford Press.

Thomas, S., & Jadeja, A. (2021). Psychological antecedents of consumer trust in CRM campaigns and donation intentions: The moderating role of creativity. Journal of Retailing and Consumer Services, 61, 102589. https://doi.org/10.1016/j.jretconser.2021.102589CrossRef

Thomas, S., & Kureshi, S. (2020). Consumer skepticism towards cause related marketing: Exploring the consumer tendency to question from emerging market perspective. International Review on Public and Nonprofit Marketing, 17(2), 225–236.CrossRef

Thomas, S., Kureshi, S., & Vatavwala, S. (2019). Cause-related marketing research (1988–2016): An academic review and classification. Journal of Nonprofit & Public Sector Marketing., 32, 1–29. https://doi.org/10.1080/10495142.2019.1606757CrossRef

Trishala, M. (2021). Big Five Personality traits as determinants of pro-social behaviour. Indian Journal of Positive Psychology, 12(2), 200–203.

Varadarajan, P. R., & Menon, A. (1988). Cause-related marketing: A coalignment of marketing strategy and corporate philanthropy. Journal of Marketing, 52(3), 58–74.

Vrontis, D., Thrassou, A., Christofi, M., Shams, R., & Czinkota, M. R. (2020). Cause-related marketing in international business: What works and what does not? International Marketing Review, 37(4), 593–601. https://doi.org/10.1108/IMR-05-2019-0144CrossRef

Wu Y-y, Yu Y-t, Yao Y-d, Su M-h, Zhang W-c, Ti S-m, Lin X-y, Zhang S, Zhang S-q and Yang H-l (2021). Share rose, get fun: The Influence of donation on happiness. Frontiers in Sociology. https://doi.org/10.3389/fsoc.2021.675968

Youn, S., & Kim, H. (2008). Antecedents of consumer attitudes toward cause-related marketing. Journal of Advertising Research, 48(1), 123–137. https://doi.org/10.2501/S0021849908080136CrossRef

Zhang, S. X., Wang, Y., Rauch, A., & Wei, F. (2020a). Unprecedented disruption of lives and work: Health, distress and life satisfaction of working adults in China one month into the COVID-19 outbreak. Psychiatry Research. https://doi.org/10.1016/j.psychres.2020.112958CrossRefPubMedPubMedCentral

Zhang, Y., Tan, C. D., Sun, J., & Yang, Z. (2020b). Why do people patronize donation-based crowdfunding platforms? An activity perspective of critical success factors. Computers in Human Behavior, 112, 106470. https://doi.org/10.1016/j.chb.2020.106470CrossRef

Title: Predicting the cause-related marketing participation intention by examining big-five personality traits and moderating role of subjective happiness
Authors: Ritesh Patel
Viral Bhatt
Sujo Thomas
Twinkle Trivedi
Sudhir Pandey
Publication date: 29-04-2023
Publisher: Springer Berlin Heidelberg
Published in: International Review on Public and Nonprofit Marketing / Issue 1/2024
Print ISSN: 1865-1984
Electronic ISSN: 1865-1992
DOI: https://doi.org/10.1007/s12208-023-00371-9

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