Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/2217
Title: Integrated marketing communications strategy and reference groups that affect the decision to purchase auspicious trees in the Nakhon Pathom area
Other Titles: กลยุทธ์การสื่อสารการตลาดแบบบูรณาการ และกลุ่มอ้างอิงที่มีผลต่อการตัดสินใจซื้อต้นไม้มงคลในเขตพื้นที่นครปฐม
Authors: Kamdang, Waranya
Puapornpong, Tanatip
Kumpiranont, Piyada
Rittiboonchai, Wisit
Keywords: Integrated Marketing
Referral Group
Auspicious Tree
Issue Date: 13-Aug-2024
Publisher: The 16th NPRU National Academic Conference Nakhon Pathom Rajabhat University
Series/Report no.: Proceedings of the 16th NPRU National Academic Conference;1239
Abstract: The Research on Integrated marketing communications strategy and reference groups that affect the decision to purchase auspicious trees in the Nakhon Pathom area has a purpose There are two purposes: to study 1. Integrated marketing communication factors that affect the behavior in purchasing auspicious trees of consumers in Nakhon Pathom Province and 2. The influence of the reference group. That affects the behavior in choosing to buy auspicious trees of consumers in Nakhon Pathom province. The researcher collected data from a sample group. From the population who buy auspicious trees in the Nakhon Pathom area by convenient sampling From a sample of 400 people, statistics used in data analysis included percentage, mean, and standard deviation. And multiple regression analysis. The results of the research found that: 1. Integrated marketing communication factors that affect the behavior in purchasing auspicious trees of consumers in Nakhon Pathom province include advertising (X1), and sales by employees (X2). For sales promotion (X4) and direct marketing (X5), the equation has a predictive power of 47.30 percent, and the equation can be written as follows: Ytot= 0.30+0.17X1*+0.27X2**+0.11X3+0.44X4**+0.29X5** 2. Influence of reference groups It consists of direct reference groups: close friends (X6), family (X7), and sellers (X8) and indirect reference groups: Influencer (X11) and social network (X12) equations have a predictive power of 66.10 percent. Ytot= 1.01+0.34X6**+0.18X7*+0.21X8*+0.06X9+0.01X10+0.24X11*+0.16X12*
URI: https://publication.npru.ac.th/jspui/handle/123456789/2217
ISBN: 978-974-7063-46-2
Appears in Collections:Proceedings of the 16th NPRU National Academic Conference

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