يعرض 1 - 10 نتائج من 106 نتيجة بحث عن '"Comercio social"', وقت الاستعلام: 1.09s تنقيح النتائج
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    دورية أكاديمية
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    كتاب
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    المؤلفون: Rodrigues, Ana Cláudia Ropio

    المساهمون: Picoto, Winnie Ng, Repositório da Universidade de Lisboa

    وصف الملف: application/pdf

    العلاقة: Rodrigues, Ana Cláudia Ropio (2020). "Social commerce adoption and the pandemic impact". Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão.

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    دورية أكاديمية

    المؤلفون: Broeder, Peter, Schouten, Michelle

    المصدر: CBR - Consumer Behavior Review; v. 6, n. 1 (2022): january-december; e-250595 ; 2526-7884

    وصف الملف: application/pdf

    العلاقة: https://periodicos.ufpe.br/revistas/cbr/article/view/250595/40391Test; Amit, E., Wakslak, C., & Trope, Y. (2013). The use of visual and verbal means of communication across psychological distance. Personality and Social Psychology Bulletin, 39(1), 43–56. https://doi.org/10.1177/0146167212460282Test; Azar, S.L., César Machado, J., Vacas-De-Carvalho, L., & Mendes, A. (2016), Motivations to interact with brands on Facebook – towards a typology of consumer–brand interactions, Journal of Brand Management, 23(2), 153–178. https://doi.org/10.1057/bm.2016.3Test; Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53(3), 297–318. https://doi.org/10.1509/jmr.14.0380Test; Blackwell, S. E. (2020). Emotional mental imagery. In Abraham, A. (ed) (2020). The Cambridge Handbook of the Imagination, Cambridge University Press.; Blanco, C. F., Sarasa, R. G., & Sanclemente, C. O. (2010). Effects of visual and textual information in online product presentations: looking for the best combination in website design. European Journal of Information Systems, 19(6), 668–686. https://doi.org/10.1057/ejis.2010.42Test; Broeder, P. (2020). Culture, privacy, and trust in E-commerce. Marketing from Information to Decision Journal, 3(1), 14–26. https://doi.org/10.2478/midj-2020-0002Test; Broeder, P. (2021). Informed Communication in High Context and Low Context Cultures. Journal of Education, Innovation, and Communication, 3(1), 13–24. https://doi.org/10.34097/jeicom-3-1-june21-1Test; Broeder, P., & Snijder, H. (2019). Color in online advertising: Going for trust, which blue is a must? Marketing - from Information to Decision Journal, 2(1), 5–15 https://doi.org/10.2478/midj-2019-0001Test; Broeder, P., & Stokmans, M. (2013). Why should I read? A cross-cultural investigation into adolescents’ reading socialization and reading attitude. International Review of Education, 59(1), 87–112. https://doi.org/10.1007/s11159-013-9354-4Test; Broeder, P., & Van Doremalen, L. (2021). Persuasive colors for trust in E-commerce: Dutch blue or Russian red? Russian Journal of Communication, 1–14. https://doi.org/10.1080/19409419.2021.1951066Test; Broeder, P., & Wildeman, N. (2020). The color red for emotion in cross-cultural E-commerce. Eurasian Journal of Business and Economics, 13(25), 75–89. https://doi.org/10.17015/ejbe.2020.025.05Test; Che, J. W., Cheung, C. M., & Thadani, D. R. (2017). Consumer purchase decision in Instagram stores: The role of consumer trust. In Proceedings of the 50th Hawaii International Conference on System Sciences (pp. 24–33).; Chen, Y., & Barnes, S. (2007). Initial trust and online buyer behavior. Industrial Management & Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034Test; De Mooij, M. (2019). Consumer behavior and culture: Consequences for global marketing and advertising. London: Sage.; De Oliveira Santini, F., Ladeira, W. J., Pinto, D. C., Herter, M. M., Sampaio, C. H., & Babin, B. J. (2020). Customer engagement in social media: a framework and meta-analysis. Journal of the Academy of Marketing Science, 48, 1211–1228. https://doi.org/10.1007/s11747-020-00731-5Test; Din, S. M., Ramli, R., & Bakar, A. A. (2018). A review on trust factors affecting purchase Intention on Instagram. In 2018 IEEE Conference on Application, Information and Network Security (AINS) (pp. 49–53).; Djafarova, E., & Bowes, T. (2021). ‘Instagram made me buy it’: Generation Z impulse purchases in fashion industry. Journal of Retailing and Consumer Services, 59, 102345. https://doi.org/10.1016/j.jretconser.2020.102345Test; Giannoulakis, S., & Tsapatsoulis, N. (2016). Evaluating the descriptive power of Instagram hashtags. Journal of Innovation in Digital Ecosystems, 3(1), 114–129. http://dx.doi.org/10.1016/j.jides.2016.10.001Test; Goodrich, K., & de Mooij, M. (2013). How ‘social’ are social media? A cross-cultural comparison of online and offline purchase decision influences. Journal of Marketing Communications, 20(1/2), 103–116. https://doi.org/10.1080/13527266.2013.797773Test; Ha, Y., Park, K., Kim, S. J., Joo, J., & Cha, M. (2020). Automatically detecting image–text mismatch on Instagram with Deep Learning. Journal of Advertising, 50(1), 52–62. https://doi.org/10.1080/00913367.2020.184309Test; Hajili, M. N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 387–404. https://doi.org/10.2501/IJMR-2014-025Test; Hall, E. T. (1976). Beyond culture. New York: Doubleday.; Hall, E. T. & Hall, M. R. (1990). Understanding cultural differences: German, French, and Americans, Yarmouth, ME: Intercultural Press.; Haugtvedt, C. P., Petty, R. E., & Cacioppo, J. T. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behavior. Journal of Consumer Psychology, 1(3), 239–260. https://doi.org/10.1016/S1057-7408Test(08)80038-1; Harzing, A. (2005). Does the use of English-language questionnaires in cross-national research obscure national differences? International Journal of Cross-Cultural Management, 5(2), 213–224. https://doi.org/10.1177/1470595805054494Test; Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions and organizations across nations. London: Sage publications.; Hofstede, G. (2021), Country Comparison. Retrieved from www.hofstede-insights.com; Hollebeek, L. D. (2018). Individual-level cultural consumer engagement styles. International Marketing Review, 35(1), 42–71. https://doi.org/10.1108/IMR-07-2016-0140Test; Holmes, E. A., & Mathews, A. (2005). Mental imagery and emotion: A special relationship? Emotion, 5(4), 489–497. https://doi.org/10.1037/1528-3542.5.4.489Test; Jung, J. M., & Kellaris, J. J. (2004). Cross‐national differences in proneness to scarcity effects: The moderating roles of familiarity, uncertainty avoidance, and need for cognitive closure. Psychology & Marketing, 21(9), 739–753. https://doi.org/10.1002/mar.20027Test; Kim, M. (2019). Digital product presentation, information processing, need for cognition and behavioral intent in digital commerce. Journal of Retailing and Consumer Services, 50, 362–370. https://doi.org/10.1016/j.jretconser.2018.07.011Test; Kim, M., & Lennon S. J. (2008). The effects of visual and verbal information on attitudes and purchase intentions in internet shopping. Psychology and Marketing, 25(2), 146–178. https://doi.org/10.1002/mar.20204Test; Klostermann, J., Plumeyer, A., Böger, D., & Decker, R. (2018). Extracting brand information from social networks: Integrating image, text, and social tagging data. International Journal of Research in Marketing, 35(4), 538–556. https://doi.org/10.1016/j.ijresmar.2018.08.002Test; Lee, D., Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management Science, 64(11), 5105–5131. https://doi.org/10.1287/mnsc.2017.2902Test; Li, Y., & Xie, Y. (2020). Is a picture worth a thousand words? An empirical study of image content and social media engagement. Journal of Marketing Research, 57(1), 1–19. https://doi.org/10.1177/0022243719881113Test; Maier, E., & Dost, F. (2018). The positive effect of contextual image backgrounds on fluency and liking. Journal of Retailing and Consumer Services, 40, 109–116. https://doi.org/10.1016/j.jretconser.2017.09.003Test; Martin, B. A., Sherrard, M. J., & Wentzel, D. (2005). The role of sensation seeking and need for cognition on web‐site evaluations: a resource‐matching perspective. Psychology & Marketing, 22(2), 109–126. https://doi.org/10.1002/mar.20050Test; Minkov, M. (2018). A revision of Hofstede’s model of national culture: old evidence and new data from 56 countries. Cross Cultural and Strategic Management, 25(2), 231–256. https://doi.org/10.1108/CCSM-03-2017-0033Test; Morales, A. C., Amir, O., & Lee, L. (2017). Keeping it real in experimental research—Understanding when, where, and how to enhance realism and measure consumer behavior. Journal of Consumer Research, 44(2), 465–476. https://doi.org/10.1093/jcr/ucx048Test; Mosunmola, A., Adegbuyi, O., Kehinde, O., Agboola, M., & Olokundun, M. (2019). Perceived value dimensions online shopping intention: The role of trust and culture. Academy of Strategic Management Journal, 18(1), 1–20.; Overgoor, G., Rand, W., & Van Dolen, W. (2020). The champion of images: Understanding the role of images in the decision-making process of online hotel bookings. In Proceedings of the European Marketing Academy, 48th, (9518).; Pappas, N. (2016). Marketing strategies, perceived risks, and consumer trust in online buying behavior. Journal of Retailing and Consumer Services, 29, 92–103. https://doi.org/10.1016/j.jretconserTest. 2015.11.007; Park, J., Gunn, F., & Han, S. L. (2012). Multidimensional trust building in e-retailing: Cross-cultural differences in trust formation and implications for perceived risk. Journal of Retailing and Consumer Services, 19(3), 304–312.; Phua, J., Jin, S. V., & Kim, J. J. (2017). Gratifications of using Facebook, Twitter, Instagram, or Snapchat to follow brands: The moderating effect of social comparison, trust, tie strength, and network homophily on brand identification, brand engagement, brand commitment, and membership intention. Telematics and Informatics, 34(1), 412–424. http://dx.doi.org/10.1016/j.tele.2016.06.004Test; Philipps, J., & Dorsch, I. (2019). Gender-specific tagging of images on Instagram. In International Conference on Human-Computer Interaction (pp. 396–413). Springer, Cham.; Richard, M. O., & Chebat, J. C. (2016). Modeling online consumer behavior: Preeminence of emotions and moderating influences of need for cognition and optimal stimulation level. Journal of Business Research, 69(2), 541–553. https://doi.org/10.1016/j.jbusres.2015.05.010Test; Rietveld, R., Van Dolen, W., Mazloom, M., & Worring, M. (2020). What you feel, is what you like influence of message appeals on customer engagement on Instagram. Journal of Interactive Marketing, 49(2), 20–53. https://doi.org/10.1016/j.intmar.2019.06.003Test; Sahi, G. K., Sekhon, H. S., & Quareshi, T. K. (2016). Role of trusting beliefs in predicting purchase intentions. International Journal of Retail & Distribution Management, 44(8), 860–880. https://doi.org/10.1108/IJRDM-10-2015-0157Test; Smith, R. A. (1991). The effects of visual and verbal advertising information on consumers’ inferences. Journal of Advertising, 20(4), 13–24. https://doi.org/10.1080/00913367.1991.10673351Test; Sojka, J. Z., & Giese, J. L. (2001). The influence of personality traits on the processing of visual and verbal information. Marketing Letters, 12(1), 91–106. https://doi.org/10.1023/A:1008132422468Test; Song, J., Han, K., Lee, D., & Kim, S.W. (2018). “Is a picture really worth a thousand words?”: A case study on classifying user attributes on Instagram. PloS one, 13(10), e0204938. https://doi.org/10.1371/journal.pone.0204938Test; Vander Schee, B. A., Peltier, J., & Dahl, A. J. (2020). Antecedent consumer factors, consequential branding outcomes and measures of online consumer engagement: current research and future directions. Journal of Research in Interactive Marketing 14(2), 239–268. https://doi.org/10.1108/JRIM-01-2020-0010Test; Van Esch, P., Heller, J., & Northey, G. (2019). The effects of inner packaging color on the desirability of food. Journal of Retailing and Consumer Services, 50, 94–102. https://doi.org/10.1016/j.jretconser.2019.05.003Test; Visentin, M., & Tuan, A. (2021). Book belly band as a visual cue: Assessing its impact on consumers’ in-store responses. Journal of Retailing and Consumer Services, 59, 102359. https://doi.org/10.1016/j.jretconser.2020.102359Test; Wutich, A., Beresford, M., SturtzSreetharan, C., Brewis, A., Trainer, S., & Hardin, J. (2021). Meta theme Analysis: A qualitative method for cross-cultural research. International Journal of Qualitative Methods, 20. https://doi.org/10.1177/16094069211019907Test; Yıldırım, E., Arslan, Y., & Barutçu, M. T. (2016). The role of uncertainty avoidance and indulgence as cultural dimensions on online shopping expenditure. Eurasian Business & Economics Journal, 4(1), 42–51.; Yoo, J., & Kim, M. (2014). The effects of online product presentation on consumer responses: A mental imagery perspective. Journal of Business Research, 67(11), 2464–2472. https://doi.org/10.1016/j.jbusres.2014.03.006Test; Yu, S., Hudders, L., & Cauberghe, V. (2018). Selling luxury products online: The effect of a quality label on risk perception, purchase intention and attitude toward the brand. Journal of Electronic Commerce Research, 19(1), 16–35.; Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model – A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41–62.; https://periodicos.ufpe.br/revistas/cbr/article/view/250595Test

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