School of Business Administration

URI ถาวรสำหรับชุมชนนี้

https://dspace.spu.ac.th/handle/123456789/406

เรียกดู

กำลังเรียกดู School of Business Administration โดย เรื่อง "Agro-Industry"

ตอนนี้กำลังแสดง1 - 2 ของ 2
  • รูปภาพขนาดย่อ
    รายการ
    FACTORS AFFECTING THE INTENTION OF DIGITAL TRANSFORMATION OF THAI AGRICULTURAL ENTREPRENEURS
    (The 7th International Sripatum University Conference, 2565-10-27) Assistant Professor Dr.Ravipa Akrajindanon; Assistant Professor Dr.Anupong Avirutha; Assistant Professor Dr.Prasert Sitthijirapat; Assistant Professor Supawadee Hamanee; Monton Tongpanung; Supreeya Sangthong; Uachit Thasnapark
    The objective of the study is to examine the relationship among the perceived of digital technology, perceived of attributes of innovation, and digital readiness affect to and the intention of digital transformation in the Thai agricultural entrepreneurs. A total of 300 usable samplings of Thai agricultural entrepreneurs are obtained. Descriptive, frequency, percentage distributions, means are used to describe and report the information collected affecting to individual variables and demographic information. Furthermore, the data obtained is analyzed by Stepwise Multiple Regression. The findings reveal that the predictor variables of the perceived of digital technology, perceived of attributes of innovation, and digital readiness has positive relationship with the intention of digital transformation in the Thai agricultural entrepreneurs
  • รูปภาพขนาดย่อ
    รายการ
    Factors Affecting the Intention of Digital Transformation of Thai Agricultural Entrepreneurs
    (Sripatum University, 2565-10) Ravipa Akrajindanon; Anupong Avirutha; Prasert Sitthijirapat; Supawadee Hamanee; Monton Tongpanung; Supreeya Sangthong
    The objective of the study is to examine the factors, including perceived of technology and digital readiness significantly affect to digital transformation in the Thai agricultural entrepreneurs. A total of 300 usable samplings of e-marketplace customers are obtained. The findings reveal that the predictor variables of digital technology (β = 0.643, t = 15.541, P = 0.009), perceived of attributes of innovation (β = 0.173, t = 3.793, P = 0.000), digital readiness (β = 0.109, t = 2.631, P = 0.000), are achieved significance at the 0.05 level.