A Moderated Mediation Model to Explicate Decisions Regarding Digital Ethics, Rights Protection and Open Innovation

Main Article Content

Kavin Katanyutaveetip
Prin Laksitamas
Siwarat Kobayashi

บทคัดย่อ

The scenario study was a mixed focus group of nine experts’ opinions on digital ethics marketing, rights protection, open innovation and qualitative measurement of SEM analysis. The research consists of a survey and development research on descriptive characteristics as analysis with maximum likelihood estimation conducted for a structural equation model applying predictive analytics software (PASW). The sample size of 200 to 400 samples is based on male or female, single or married, ages, education, occupation, average monthly income, popular product categories, and popular digital channels. The research results address the crucial demonstration that ethical marketing communications digitally develop under the rights protection decision. The alternative approach will compose of independent variable X: opinions on consumer rights protection from experienced digital purchase systems; dependent variable Y: encoding of ethics in marketing communication including dependent variables: consumer behavioral decisions on digital systems. While open innovation in intellectual capital is the moderator between X and Y variables, the proposed scenario explains new experiential paradigm components, including a focus on open innovation as a moderator, can be operationalized, which accelerates the rate of staged purchasing decision system shift by validating their digital behavior on consumer rights protection of ethical marketing communication in the Kingdom of Thailand.

Article Details

บท
บทความวิจัย (Research article)

References

Aceto, G., Persico, V. and Pescapé, A. (2019). A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges. IEEE Communications Surveys & Tutorials, 21(4), 3467-3501.

Alrowwad, A., Abualoush, S. H. and Masa’deh, R. (2020). Innovation and intellectual capital as intermediary variables among transformational leadership, transactional leadership, and organizational performance. Journal of Management Development, 39(2), 196-222.

Alshurideh, M., Gasaymeh, A., Ahmed, G., Alzoubi, H. and Kurd, B. (2020). Loyalty program effectiveness: Theoretical reviews and practical proofs. Uncertain Supply Chain Management, 8(3), 599-612.

Ansong, E. and Boateng, R. (2019). Surviving in the digital era-business models of digital enterprises in a developing economy. Digital Policy, Regulation and Governance, 21(2), 164-178.

Arbuckle, J. L. (2012). IBM SPSS AMOS 21 user's guide. Chicago: IBM Software Group.

Baoguo, L. and Laksitamas, P. (2020). Chinese consumers’ purchase intentions toward Thailand’s organic rice based on marketing ethics. Cross Currents: An International Peer-Reviewed Journal on Humanities & Social Sciences, 6(10), 111-118.

Berrena-Martínez, J., Cricelli, L., Ferrándiz, E., Greco, M. and Grimaldi, M. (2020). Joint forces: Towards an integration of intellectual capital theory and the open innovation paradigm. Journal of Business Research, 112, 261-270.

Bianchi, M., Campodall’Orto, S., Frattini, F. and Vercesi, P. (2010). Enabling open innovation in small-and medium-sized enterprises: How to find alternative applicatios for your technologies. R & D Management, 40(4), 414-431.

Bican, P. M., Guderior, C. C. and Ringbeck, A. (2017). Managing knowledge in open innovation processes: An intellectual property perspective. Journal of Knowledge Management, 21(6), 1384-1405.

Bogers, M., Chesbrough, H. and Moedas, C. (2018). Open innovation: Research, practices, and policies. California Management Review, 60(2), 5-16.

Bollen, K. A. (2019). Model implied instrumental variables (MIIVs): An alternative orientation to structural equation modeling. Multivariate Behavioral Research, 54(1), 31-46.

Brereton, R. G. (2014). The normal distribution. Journal of chemometrics, 28(11), 789-792.

Chahal, H. and Bakshi, P. (2015). Examining intellectual capital and competitive advantage relationship: Role of innovation and organizational learning. International Journal of Bank Marketing, 33(3), 376-399.

Chawla, N. and Kumar, B. (2022). E-commerce and consumer protection in India: The emerging trend. Journal of Business Ethics, 180(2), 581-604.

Cho, G., Hwang, H., Sarstedt, M. and Ringle, C. M. (2020). Cutoff criteria for overall model fit indexes in generalized structured component analysis. Journal of Marketing Analytics, 8(4), 189-202.

Choe, J. Y. J. and Kim, S. S. (2018). Effects of tourists’ local food consumption value on attitude, food destination image, and behavioral intention. International Journal of Hospitality Management, 71, 1-10.

Cronbach, L. J. (1990). Essential of psychology testing (5th ed.). New York: Harper Collins.

Department of Provincial Administration. (2020). Official statistics registration system. Retrieved May 1, 2020, from https://stat.bora.dopa.go.th/new_stat/webPage/statByYear.php

Drysdale, P. and Armstrong, S. (2021). RCEP: A strategic opportunity for multilateralism. China Economic Journal, 14(2), 128-143.

Fullerton, R. A. (2013). The birth of consumer behavior: Motivation research in the 1940s and 1950s. Journal of Historical Research in Marketing, 5(2), 212-222.

Hagelstein, J., Einwiller, S. and Zerfass, A. (2021). The ethical dimension of public relations in Europe: Digital channels, moral challenges, resources, and training. Public Relations Review, 47(4), 1-9.

Hair, J. F., Black, W. C., Babin, B, J. and Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Hampshire: Cengage Learning.

Han, L., Wang, S., Zhao, D. and Li, J. (2017). The intention to adopt electric vehicles: Driven by functional and non-functional values. Transportation Research Part A: Policy and Practice, 103, 185-197.

Han, W. (lecturer). (September 17-19, 2021). Purchasing decision making process of online consumers based on the five-stage model of the consumer buying process. In Proceedings of the 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021) (pp.545-548). China: Kunming.

Ismail, F. K. M. and Zubairi, A. M. B. (2022). Item objective congruence analysis for multidimensional items content validation of a reading test in Sri Lankan University. English Language Teaching, 15(1), 106-117.

Katanyutaveetip, K., Laksitamas, P. and Kobayashi, S. (2022). A model of consumer rights protection via ethics marketing communication channels affecting purchasing decision behavior of online consumers. Natural Volatiles & Essential Oils Journal, 9(1), 1893-1905.

Kim, H. W., Xu, Y. and Gupta, S. (2012). Which is more important in internet shopping, perceived price or trust?. Electronic Commerce Research and Applications, 11(3), 241-252.

Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). New York: Guilford Press.

Laksitamas, P. (2015). Psychology & consumer behavior. Pathumthani: Thammasat University Printing.

Laksitamas, P., Suntharanund, P. and Horrungruang, C. (2018). Marketing ethics model of SMEs in Thailand’s tourism industry for ASEAN community. International Journal of Research in Humanities and Social Studies, 5(12), 24-33.

Li, J. K. (2020). Research on the development of Hema Xiansheng under the background of new retail. Modern Marketing (Late Issue), 1, 160-161.

Lo, C., Wang, C. and Chen, Y. C. (2020). The mediating role of intellectual capital in open innovation in the service industries. Sustainability, 12(12), 5220.

Maji, S. K. and Laha, A. (2020). State of digital economy in Asia-Pacific Region: Delineating the role of digital skill. International Journal of Public Administration in the Digital Age, 7(2), 38-54.

Matricano, D., Candelo, E., Sorrentino, M. and Cappiello, G. (2020). Investigating the link between intellectual capital and open innovation processes: A longitudinal case study. Journal of Intellectual Capital, 23(3), 538-557.

Mosavi, S. A. and Ghaedi, M. (2012). An examination of the effects of perceived value and attitude on customer behavioral intentions in e-shopping. African Journal of Business Management, 6(5), 1950-1959.

Office of the Council of State. (2022). Consumer protection act, B.E. 1979. Retrieved from https://www.krisdika.go.th/data//document/ext809/809789_0001.pdf

Olonite, O. A. (2021). Olonite sampling technique and Taro Yamane sampling method: The paradigm shift. SSRN Electronic Journal, 1, 1-5.

Patky, J. and Pandey, S. K. (2020). Does flexibility in human resource increase innovation? Mediating role of intellectual capital. South Asian Journal of Human Resource Management, 7(2), 257-275.

Place, K. R. (2019). Moral dilemmas, trials, and gray areas: Exploring on-the-job moral development of public relations professionals. Public Relations Review, 45(1), 24-34.

Redder, K. R. (2021). Mapping China’s presence in Africa’s digital economy. Retrieved from http://www.ipcs.org/comm_select.php?articleNo=5776

Shang, S. S. C., Wu, Y. L. and Sie, Y. J. (2017). Generating consumer resonance for purchase intention on social network sites. Computer in Human Behavior, 69, 18-28.

Sharabati, A. A. A., Nour, A. N. I. and Shamari, N. S. (2013). The impact of intellectual capital on Jordanian telecommunication companies’ business performance. American Academic & Scholarly Research Journal, 5(3), 32-46.

Shepherd, H. L., Barrat, A., Jones, A., Bateson, D., Carey, K., Trevena, L. J., et al. (2016). Can consumers learn to ask three questions to improve shared decision making? A feasibility study of the ASK (AskShareKnow) patient-clinician communication model intervention in a primary health-care setting. Health Expectations, 19(5), 1160-1169.

Shi, D. and Maydeu-Olivares, A. (2020). The effect of estimation methods on SEM Fit Indices. Educational and Psychological Measurement, 80(3), 421-445.

Singh, R. and Mangat, N. S. (2011). Elements of survey sampling (2nd ed.). Germany: Springer Netherlands.

Solomon, M. R. (2019). Consumer behavior: Buying, having, and being (13th ed.). Boston: Pearson.

Sukkho, T. (2017). Zoning according to the location of the area of Bankgkok. Retrieved May 1, 2020 from https://thanawat5808641.blogspot.com/2017/11/3.html

Tabachnick, B. G. and Fidell, L. S. (2018). Using multivariate statistics (7th ed.). New Jersey: Pearson.

Toti, J. F., Diallo, M. F. and Huaman-Ramirez, R. (2021). Ethical sensitivity in consumers’ decision-making: The mediating and moderating role of internal locus of control. Journal of Business Research, 131, 168-182.

Viratchai, N. (2012). The linear relationship (LISREL): Statistic for social science and behavioral sciences. Bangkok: Chulalongkorn University Printing.

Vladimirova, G. and Marinov, B. (2017). Ethical aspects of color impact in cross-cultural marketing communication. Knowledge International Journal, 19(3), 1159-1166.

Wang, Y. (2020). Research on the effect of 4C+2S to customer perceived value in scene marketing of clothing industry in China. Open Journal of Business and Management, 8(2), 628-638.

Westland, J. C. (2019). Structural equation models: From paths to networks (2nd ed.). Switzerland: Springer International Publishing.

Wind, J. and Mahajan, V. (2001). Digital marketing: Digital strategies from the world’s leading experts. New York: John Wiley & Sons.

Wright, D. K. and Hinson, M. D. (2017). Tracking how social and other digital media are being used in public relations practice: A twelve year study. Public Relations Journal, 11(1), 1-30.

Wu, Y. L. and Li, E. Y. (2018). Marketing mix, customer value, and customer loyalty in social commerce: A stimulus-organism-response perspective. Internet Research, 28(1), 74-104.

Xie, G. X., Madrigal, R. and Boush, D. M. (2015). Disentangling the effects of perceived deception and anticipated harm on consumer responses to deceptive advertising. Journal of Business Ethics, 129, 281-293.

Yang, Y. C. (2017). Consumer behavior towards green products. Journal of Economics, Business and Management, 5(4), 160-167.

Zhuang, W., Luo, X. and Riaz, M. U. (2021). On the factors influencing green purchase intention: A meta-analysis approach. Frontiers in Psychology, 12, 1-15.