:::

詳目顯示

回上一頁
題名:親社會行為口碑經驗之人群分析- 透過非觀察異質性變數發掘市場區隔的機會
作者:杜明翰
作者(外文):Ming-Han Du
校院名稱:淡江大學
系所名稱:管理科學學系博士班
指導教授:張紘炬
學位類別:博士
出版日期:2022
主題關鍵詞:市場區隔口碑人格特質動機情感親社會行為非營利行銷Market SegmentationWord-of-MouthPersonalityMotivationAffectionProsocial BehaviorNon-Profit Marketing
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:0
市場區隔是行銷策略的基礎,非營利市場的市場區隔多停留在以捐款者人口統計為變數的傳統作法。透過非觀察變數的異質性,例如社會心理因素,可能產生新的市場區隔與行銷策略機會。另一方面,口碑行銷長期被肯定為有效的行銷策略。本研究的目的是建立一個親社會口碑行為模型,並以此為基礎,透過非觀察潛在變數的異質性,發掘慈善捐助者的市場區隔的新機會。本研究的第一階段採用偏最小平方法(Partial Least Square-PLS)結構方程模型,建立親社會口碑行為模型,並以此描繪不同的人格特質,動機與親社會口碑行為的情感或情緒等構面之間的關係。其結果支持本研究的十個構面關係假設。我們發現個人社會責任正面影響親社會口碑行為的快樂情緒與自我實現,而利他動機則同時對兩者產生顯著性的中介效果。另外,社會本與影響力人格特質正面影響自我實現,且自我認同動機也對此具有部分中介效果。這個階段結果揭示了在非營利領域有關親社會口碑行為具有意義的理論與實務意涵。本研究第二階段則利用第一階段產生的親社會口碑行為模型為基礎,透過FIMIX-PLS,探索非觀察異質性變數的市場區隔,並對非營利組織提出市場行銷與得到新的捐助者及捐助者關係維繫的策略建議。本研究針對三組區隔市場,分別為「利他影響者」、「道德倡議者」及「自我認同追尋者」,進行群組比較分析,得到豐富且有價值的資訊,提供非營利組織目標市場,市場定位,及行銷計畫策略參考。
Market segmentation is a fundamental step for market positioning and marketing mix strategy. Traditionally market segmentation is done by demographic variables. The perspective from donors’ psychological factors in their charitable experience could reach novel opportunities. Meanwhile, the donors’ charitable experience sharing has been recognized as powerful marketing. The purpose of this study is to build a prosocial Word-of-Mouth model and use it to explore donor segments by unobserved variables. The first phase found that Individual-Social-Responsibility influences Hedonic-Affection and Self-Actualization directly with partial mediation effect by Altruistic-Motivation. Social-Capital and Influential-Personality influence Self-Actualization directly with partial mediation effects by Self-Identity. The second phase of this study generates three meaningful donor segments: “Altruistic Influencer,” “Morality Advocator,” and “Identity S
eeker,” with psychosocial heterogeneity attributes. This study provides theoretical and programmatic insights for fund-raising, donor acquisition, and retention strategies.
Reference
1.Akin, L. B., Broesch, T., Hamlin, J. K., and Van de Vondervoort, J. W. (2015). Prosocial behavior leads to happiness in a small-scale rural society, Journal of experimental psychology: General. 144, 788-795.
2.Ariely, D., Bracha, A., and Meier, S. (2009). Doing good or doing well? Image motivation and monetary incentives in behaving prosocially, American Economic Review, 99 (1), 544-555.
3.Armenta, C. N., Fritz, M. M., and Lyubomirsky, S. (2017). Functions of positive emotions: Gratitude as a motivator of self-improvement and positive change, Emotion Review, 9 (3), 183-190.
4.Bénabou, R. and Tirole, J. (2010). Individual and corporate social responsibility, Economica, 77 (305), 1-19.
5.Baumann, D. J., Cialdini, R. B., and Kendrick, D. T. (1981). Altruism as hedonism: Helping and self-gratification as equivalent responses, Journal of Personality and Social Psychology, 40 (6) 1039.
6.Beaumont, Sherry L. (2009). Identity processing and personal wisdom: An information-oriented identity style predicts self-actualization and self-transcendence, Identity: An International Journal of Theory and Research, 9 (2), 95-115.
7.Bénabou, R., Tirole, J. (2010). Individual and corporate social responsibility, Economica, 77 (305), 1-19.
8.Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research, Journal of consumer psychology, 24 (4), 586-607.
9.Berger, J. and Schwartz, E. M. (2011). What drives immediate and ongoing word of mouth?, Journal of Marketing Research, 48 (5), 869-880.
10.Berkowitz, L. (1987). Mood, self-awareness, and willingness to help, Journal of Personality and Social Psychology, 52 (4), 721.
11.Berman, B. (2016). Referral marketing: Harnessing the power of your customers, Business Horizons, 59(1), 19-28.
12.Bock, D. E., Eastman, J. K., and Eastman, K. L. (2018). Encouraging consumer charitable behavior: The impact of charitable motivations, gratitude, and materialism, Journal of Business Ethics, 150 (4), 1213-1228.
13.Bollen, K. and Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective, Psychological bulletin, 110 (2), 305.
14.Bono, J. E. and Judge, T. A. (2004). Personality and transformational and transactional leadership: a meta-analysis, Journal of applied psychology, 89 (5), 901.
15.Brown, A. D., Dorfman, M. L., Marmar, C. R., and Bryant, R. A., (2012). The impact of perceived self-efficacy on mental time travel and social problem solving, Consciousness and Cognition, 21 (1), 299-306.
16.Buttle, F. A. (1998). Word of mouth: understanding and managing referral marketing, Journal of strategic marketing, (1998). 6(3), 241-254.
17.Carmona-Halty, M., Salanova, Llorens, M., S., and Schaufeli, W. B. (2019). How psychological capital mediates between study–related positive emotions and academic performance, Journal of Happiness Studies, 20 (2), 605-617.
18.Chang, H. J., and Du, M. H. (2021). Donor Experience Sharing, Why, and Who They Are? International Journal of Information and Management Sciences, 32(2), 177-193.
19.Cermak, D. S., File, K. M., and Prince, R. A. (1994). A benefit segmentation of the major donor market, Journal of Business Research, 29 (2), 121-130.
20.Chin, W. (2010). How to write up and report PLS analyses. Handbook of Partial Least Squares: Concepts, Methods and Applications, VE Vinzi, WW Chin, J. Henseler, and H. Wang, ed: New York, NY: Springer Verlag.
21.Chin, W. W. (1998). The partial least squares approach to structural equation modeling, Modern methods for business research, 295 (2), 295-336.
22.Chin, W. W., (1998). Commentary: Issues and opinion on structural equation modeling, ed: JSTOR.
23.Chin W. W. (1995). Partial least squares is to LISREL as principal components analysis is to common factor analysis, Technology studies, 2 (2), 315-319.
24.Clark, A. E. (2018). Four decades of the economics of happiness: Where next?, Review of Income and Wealth, 64(2), 245-269.
25.Christofi, M., Thrassou, A., Chebbi, H., Ahmed, Z. U., Grandhi, B., and Iaia, L. (2019). CRM campaigns with choice for enhanced business process performance: The collectivist customers’ collaborative role for positive word-of-mouth, Business Process Management Journal, 26(5), 1225-1239.
26.Chung T.-L. D., Anaza, N. A., Park, J., and Hall-Phillips, A. (2016). Who’s behind the screen? Segmenting social venture consumers through social media usage, Journal of Retailing and Consumer Services, 28, 288-295.
27.Denis, E., Pecheux, C., and Decrop, A. (2018). Segmenting the Belgian charitable sector: The impact of environmental factors on households’ generosity, International Journal of Nonprofit and Voluntary Sector Marketing, 23 (3), e1606.
28.Dickert, S., Sagara, N., and Slovic, P. (2011). Affective motivations to help others: A two‐stage model of donation decisions, Journal of Behavioral Decision Making, 24 (4), 361-376.
29.Feigin, S., Owens, G., and Goodyear, S. Theories of human altruism: A systematic review, Annals of Neuroscience and Psychology, 1(1), 1-9.
30.Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
31.Forgas, J. P. and Laham, S. M. (2005). The interaction between affect and motivation in social judgments and behavior, Social motivation: Conscious and unconscious processes, 168-193.
32.Fredrickson, B. L. and Joiner, T. (2002). Positive emotions trigger upward spirals toward emotional well-being, Psychological science, 13 (2), 172-175.
33.Fuentes-Blasco, M., Moliner-Velázquez, B., and Gil-Saura, I. (2017). Analyzing heterogeneity on the value, satisfaction, word-of-mouth relationship in retailing, Management Decision, 55, 1558-1577.
34.Fulkerson, G. M. and Thompson, G. H. (2008). The evolution of a contested concept: A meta‐analysis of social capital definitions and trends (1988–2006), Sociological Inquiry, 78 (4), 536-557.
35.Gao, H., Li, B., and Han, T. (2019). User Experience Research on the Human-Computer Interaction System of Connected Car, International Conference on Applied Human Factors and Ergonomics,: Springer, 672-683.
36.Grant, A. M. (2008). Does intrinsic motivation fuel the prosocial fire? Motivational synergy in predicting persistence, performance, and productivity, Journal of applied psychology, 93 (1), 48.
37.Hahn, C., Johnson, M. D., Herrmann, A., and Huber, F. (2002). "Capturing customer heterogeneity using a finite mixture PLS approach," Schmalenbach Business Review, vol. 54, no. 3, 243-269.
38.Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (1998). Multivariate data analysis (no. 3). Prentice hall Upper Saddle River, NJ.
39.Hair, J. F., Ringle, C. M., and Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet, Journal of Marketing theory and Practice, 19 (2), 139-152.
40.Hair, J. F., Sarstedt, M., Ringle, C. M., and Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research, Journal of the academy of marketing science, 40 (3), 414-433.
41.Hair, J. F., Sarstedt, M., Ringle, C. M., and Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling, SAGE publication.
42.Hair, J. F. Hult, G. T. Jr, Ringle, C. M., and Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
43.Hair, J., F Joe, Sarstedt, M., Matthews, L. M., and C. Ringle, M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method, European Business Review, vol. 28, no. 1, 63-76.
44.Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., and Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice, Business Research, 12, 115-142.
45.Hajli, N., Lin, X., Featherman, M., and Wang, Y. (2014). Social word of mouth: How trust develops in the market, International Journal of Market Research, 56 (5), 673-689.
46.Hawley, P. H. (2014). Evolution, prosocial behavior, and altruism, Prosocial development: A multidimensional approach, 43-69.
47.Henderson, L. W., Knight, T., and Richardson, B. (2013). An exploration of the well-being benefits of hedonic and eudaimonic behaviour, The Journal of Positive Psychology, 8 (4), 322-336.
48.Henseler, J., Ringle, C. M., and 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.
49.Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing, New challenges to international marketing: Emerald Group Publishing Limited.
50.Herzog, P. S., and Price, H. E. (2016). American generosity: Who gives and why, Oxford University Press.
51.Higgins, E., Tory S., and Abigail, A. (2008). When is personality revealed?: A motivated cognition approach, In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (p. 182–207). The Guilford Press.
52.Hogan, R., Curphy, G. J., and Hogan, J. (1994). What we know about leadership: Effectiveness and personality, American psychologist, 49 (6), 493.
53.Hsu, C. W., Chang, Y. L., Chen, T. S., Chang, T. Y., and Lin, Y. D. (2021) Who Donates on Line? Segmentation Analysis and Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan, IEEE Access, 9, 52728-52740.
54.Jaiswal, D., Kaushal V., Singh, P.K., Biswas, A. (2020). Greenmarket segmentation and consumer profiling: a cluster approach to an emerging consumer market," Benchmarking: An International Journal, 28, 792-812.
55.Jarvis, C. B., MacKenzie, S. B., and Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research, Journal of consumer research, 30 (2), 199-218.
56.Jiang, J., Zeng, T., Zhang, C., and Wang, R. (2018). The mediating role of relatedness need satisfaction in the relationship between charitable behavior and well-being: Empirical evidence from China, International Journal of Psychology, 53 (5), 349-355.
57.Jung, J., Bapna, R., Golden, J., and Sun, T. (2018). Words Matter! Towards Pro-social Call-to-Action for Online Referral: Evidence from Two Field Experiments. Journal of applied psychology, 1, ii-v, 1-295, C2.
58.Kenrick, D. and Krems, J. (2018). Well-being, self-actualization, and fundamental motives: An evolutionary perspective, e-Handbook of Subjective Well-Being. NobaScholar.
59.Kim, C., Jeon, H. G., and Lee, K. C. (2020a). Discovering the role of emotional and rational appeals and hidden heterogeneity of consumers in advertising copies for sustainable marketing, Sustainability, 12, 5189.
60.Kim, C., Costello, F. J., Lee, K. C. (2020b). The unobserved heterogeneous influence of gamification and novelty-seeking traits on consumers’ repurchase intention in the omnichannel retailing, Frontiers in Psychology, 11, 1-21.
61.Krems, J. A., Kenrick, D. T., and Neel, R. (2017). Individual perceptions of self-actualization: What functional motives are linked to fulfilling one’s full potential?, Personality and Social Psychology Bulletin, 43 (9), 1337-1352.
62.Kropotkin, P. P. (1902). Mutual Aid, Princeton University Press.
63.Kubacki, K., Dietrich, T., and Rundle-Thiele, S. (2017). Segmentation in social marketing: why we should do it more often that we currently do, in Segmentation in Social Marketing: Springer,1-6.
64.Kuhl, J., Quirin, M., and Koole, S. L. (2021). The functional architecture of human motivation: Personality systems interactions theory, Advances in motivation science, 8, 1-62.
65.Lia, H., Cai, J., Raoc, Y., and Zhaoc, M. (2016). A Holistic Framework of User Research: Based on a Case Study of a China’s Emerging Generation-Post-90s Research, Academic Design Management Conference, 22-29 July, Boston. .
66.Lien, C. H. and Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China, Computers in Human Behavior, 41, 104-111.
67.Limayem, M., Hirt, S. G., and Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance, MIS quarterly, 705-737.
68.Litvin, S. W., Goldsmith, R. E., and Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management, Tourism management, 29(3), 458-468.
69.MacKenzie, S. B., Podsakoff, P. M., and Jarvis, C. B. (2005). The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions, Journal of applied psychology, 90 (4), 710.
70.Manucia, G. K., Baumann, D. J., and Cialdini, R. B. (1984). Mood influences on helping: Direct effects or side effects?, Journal of Personality and Social Psychology, 46 (2), 357.
71.Manuela Lo´pez, Marı´a Sicilia (2013). How WOM marketing contributes to new product adoption, Testing competitive communication strategies, European Journal of Marketing, 47 (7), 1089-1114.
72.Marcoulides, G. A. and Saunders, C. (2006). Editor’s comments: PLS: a silver bullet?, MIS quarterly, iii-ix.
73.Marcus, J. and Roy, J. (2019). In search of sustainable behaviour: The role of core values and personality traits, Journal of Business Ethics, 158(1), 63-79.
74.Maslow, A. H. (1962). Some basic propositions of a growth and self-actualized person, Perceiving, behaving, becoming. A new focus for education, 34-39.
75.Maslow, A. H. (1965). Self-actualization and beyond, ERIC.
76.Maslow, A. H. (1943). A theory of human motivation, Psychological review, 50 (4), 370.
77.Matthews, L., Hair, J. F., and Matthews, R. (2018). PLS-SEM: The Holy Grail for Advanced Analysis, Marketing Management Journal, 28, 1-13.
78.MacKenzie, S. B., Podsakoff, P. M., and Jarvis, C. B. (2005). The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions, Journal of applied psychology, 90 (4), 710.
79.Meiners, N. H., Schwarting U., and Seeberger, B. (2010). The Renaissance of Word-of-Mouth Marketing: A’New’Standard in Twenty-First Century Marketing Management, International Journal of Economic Sciences and Applied Research, 3(2), 79-97.
80.Meyzari Ali, R. and Dasht Bozorgi, Z. (2016). The relationship of altruistic behavior, empathetic sense, and social responsibility with happiness among university students,Practice in Clinic Psychology, 4 (1), 51-55.
81.Moore, B. S., Underwood, B., and Rosenhan, D. L. (1973). Affect and altruism, Developmental Psychology, 8 (1), 99.
82.Mosak, H. and Maniacci, M. (2013). Primer of Adlerian psychology: The analytic-behavioural-cognitive psychology of Alfred Adler. Routledge.
83.Mowen, John C., Park, S., Zablah, A. (2007). Toward a theory of motivation and personality with application to word-of-mouth communications, Journal of business research, 60, 590-596.
84.Mukerjee, K. (2018). The impact of brand experience, service quality and perceived value on word of mouth of retail bank customers: investigating the mediating effect of loyalty, Journal of Financial Services Marketing, 23(1), 12-24.
85.Naskrent, J. and Siebelt, P. (2011). The influence of commitment, trust, satisfaction, and involvement on donor retention, Voluntas: International Journal of Voluntary and Nonprofit Organizations, 22(4), 757-778.
86.Oyserman, Daphna, (2015), Identity-Based Motivation, Emerging trends in the social and behavioral sciences: An interdisciplinary, searchable, and linkable resource, 1-11.
87.Padilla-Walker, L. M. and Fraser, A. M. (2014). How much is it going to cost me? Bidirectional relations between adolescents’ moral personality and prosocial behavior, Journal of adolescence, 37(7), 993-1001.
88.Paldam, M. (2000). Social capital: one or many? Definition and measurement, Journal of economic surveys, vol. 14, no. 5, 629-653.
89.Peris-Ortiz, M., Teulon, F., and Bonet-Fernandez, D. (2017). Social Entrepreneurship in Non-profit and Profit Activities. Theoretical and Empirical Landscape: An Overview, Social Entrepreneurship in Non-Profit and Profit Sectors. Springer, 1-7.
90.Phan, T. C., Rieger, M. O., and Wang, m. (2019). Segmentation of financial clients by attitudes and behavior: A comparison between Switzerland and Vietnam, International Journal of Bank Marketing, 37, 44-68.
91.Kropotkin, P. P. (1902). Mutual Aid – A Factor of Evolution. Princeton University Press.
92.Ramaswamy, V., DeSarbo, W. S., Reibstein, D. J., and Robinson, W. T. (1993). An empirical pooling approach for estimating marketing mix elasticities with PIMS data, Marketing Science, vol. 12, no. 1, 103-124.
93.Rigdon, E. E., Ringle, C. M., Sarstedt, M., and Gudergan, S. P. (2011). Assessing heterogeneity in customer satisfaction studies: across industry similarities and within industry differences, in Measurement and Research Methods. International Marketing, Emerald Group Publishing Limited, 169-194.
94.Ringle, C., Sarstedt, M., and Straub, D. (2012). A critical look at the use of PLS-SEM, MIS quarterly, 36.
95.Ringle, C. M. (2006). Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach, University of Hamburg research paper on marketing and retailing. no. 35.
96.Ringle, C. M., Sarstedt, M., and Straub, D. (2012). A critical look at the use of PLS-SEM in MIS Quarterly, MIS Quarterly (MISQ), 36 (1).
97.Samimi, Zobair and Soleymani, Arezoo. (2020). Explaining Sense of self-actualization among Student on the basis of perceived social support and social capital, Social Welfare Quarterly, 20, 201-228.
98.Samuel, A. (2016), Psychographics are just as important for marketers as demographics, Harvard Business Review. Disponible en https://hbr. org/2016/03/psychographics-are-just-as-important-for-marketers-as- demographics.
99.Sarstedt, M., Becker, J. M., Ringle, C. M., and Schwaiger, M. (2011). Uncovering and treating unobserved heterogeneity with FIMIX-PLS: which model selection criterion provides an appropriate number of segments? Schmalenbach Business Review, 63 (1), 34-62.
100.Sarti, S., Darnall, N., and Testa, F. (2018). Market segmentation of consumers based on their actual sustainability and health-related purchases, Journal of Cleaner Production, 192, 270-280.
101.Sarstedt, M., Schwaiger, M., and Ringle, C . M. (2009). Determining the number of segments in FIMIX-PLS, in Proceedings of the 2009 annual conference of the academy of Marketing Science, CD-Rom proceedings.
102.Sarstedt, M., Ringle, C. M., and Hair, J. F. (2017). Treating unobserved heterogeneity in PLS-SEM: A multi-method approach, Partial Least Squares Path Modeling. Springer International Publishing AG 2017. 197-217.
103.Sarstedt M. (2008). A review of recent approaches for capturing heterogeneity in partial least squares path modeling, Journal of modeling in Management, 3(2), 140-161.
104.Schlegelmilch, B. B., and Tynan, A. (1989). The scope for market segmentation within the charity market: An empirical analysis, Managerial and Decision Economics, 10 (2), 127-134.
105.Schneider, P. P., and Vogt, C. A. (2012). Applying the 3M model of personality and motivation to adventure travelers, Journal of Travel Research, 51 (6), 704-716.
106.Schwartz, S. J., Donnellan, M. B., Ravert, R. D., Luyckx, K., and Zamboanga, B. L. (2012). Identity development, personality, and well-being in adolescence and emerging adulthood: Theory, research, and recent advances, Handbook of Psychology, Second Edition, vol. 6.
107.Silva, J., Pinho, J. C., Soares, A., Sá, E. (2019). Antecedents of online purchase intention and behaviour: Uncovering unobserved heterogeneity, Journal of Business Economics and Management, 20, 131-148.
108.Smith, W. R. (1956). Product differentiation and market segmentation as alternative marketing strategies, Journal of Marketing, 21 (1), 3-8.
109.Sherwood, J. J. (1970). Self-actualization and self-identity theory, Personality: An International Journal.
110.Shi, T. T., Liu, X. R., Li, J. J. (2018). Market segmentation by travel motivations under a transforming economy: Evidence from the Monte Carlo of the Orient, Sustainability, 10, 3395.
111.Shiraishi, G., and Andreotti, I. (2020). Word of mouth antecedents in non-profit preparatory schools: a structural equation modeling approach in the Brazilian educational context. Proceedings of the European Marketing Academy, 49th, (63731).
112.Singh, R., Seshadri, D., Agnihotri, R., Krush, M., and Singh, R. K. (2012). Understanding the mechanism linking interpersonal traits to prosocial behaviors among salespeople: lessons from India, Journal of Business & Industrial Marketing.
113.Song, J., Gu, C., and Zou, B. (2019). Effect of charitable behavior on life satisfaction: A parallel multivariable mediation model, Social Behavior and Personality: an international journal, 47 (3), 1-8.
114.Srnka, K. J., Grohs, R., and Eckler, I. (2003). Increasing fundraising efficiency by segmenting donors, Australasian Marketing Journal (AMJ), 11 (1), 70-86.
115.Sundermann, L. M. (2018). Share experiences: receiving word of mouth and its effect on relationships with donors, Journal of Services Marketing Research 32, Novenber 3, 12, doi: 10.1108/JSM-08-2016-0319.
116.Sze, David. (2015). Maslow: 12 characteristics of a self-actualized person, https://www. Psychology today. com/blog/theory-and psychopathology/201308/
117.Thongrattana, P. T. (2010). Assessing reliability and validity of a measurement instrument for studying uncertain factors in Thai rice supply chain, SBS HDR student conference. 4. http://ro.uow.edu.au/sbshdr/2010/papers/4.
118.Trepci, E. and Hasenauer, R. (2018). The influence of social percolation in improving fundraising strategies of charity organizations, 2018 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE.
119.Trinchera, L., Squillacciotti, S., and Esposito Vinzi, V. (2006). PLS typological path modeling: a model-based approach to classification, Proceedings of KNEMO, 87.
120.Teng, S., Khong, K. W., Chong, A. Y., and Lin, B. (2017). Examining the impacts of electronic word-of-mouth message on consumers’ attitude, Journal of Computer Information Systems, 57(3), 238-251.
121.Tynan, A. C., and Drayton, J. (1987). Market segmentation, Journal of marketing management, 2 (3), 301-335.
122.Urbach, N. and Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares, Journal of Information technology theory and application, 11 (2), 5-40.
123.Vasseur, V. and Kemp, R. (2015), A segmentation analysis: the case of photovoltaic in the Netherlands, Energy Efficiency, 8 (6), 1105-1123.
124.Villalonga-Olives, E. and Kawachi, I. (2015). The measurement of social capital, sanitaria, vol. 29, 62-64.
125.Wedel, M. and Kamakura, W. A. (2012). Market segmentation: Conceptual and methodological foundations. Springer Science & Business Media.
126.Wold, H. (1975), Path models with latent variables: The NIPALS approach, in Quantitative sociology: Elsevier, 307-357.
127.Yang, Y., Li, P., Fu, X., and Kou, Y. (2017). Orientations to happiness and subjective well-being in Chinese adolescents: The roles of prosocial behavior and internet addictive behavior, Journal of happiness studies,18 (6), 1747-1762.
128.Yankelovich, D. (1964). New criteria for market segmentation, Harvard Business Review, 42 (2), 83-90.
129.Yankelovich, D. and Meer, D. (2006). Rediscovering market segmentation, Harvard business review, 84 (2), 122.
130.Yodo, M. and Yano, M. (2017). Household Income and the OECD’s Four Types of Social Capital, Discussion papers, Research Institute of Economy, Trade and Industry (RIETI).
131.Zeigler-Hill Virgil, Vrabel, Jennifer K, Sauls, Destaney, Lehtman, Mark J. (2019). Integrating Motivation into current Conceptualization of Personality, 147, 1-7.
132.Zhang, M., Hu, M., Guo, L., Liu, W. (2017). Understanding relationships among customer experience, engagement, and word-of-mouth intention on online brand communities: The perspective of service ecosystem, Internet Research, 27(4), 839-857.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top