The effect of technology-organization-environment on adoption decision of big data technology in Thailand

Abstract

Big data technology (BDT) is being actively adopted by world-leading organizations due to its expected benefits. However, most of the organizations in Thailand are still in the decision or planning stage to adopt BDT. Many challenges exist in encouraging the BDT diffusion in businesses. Thus, this study develops a research model that investigates the determinants of BDT adoption in the Thai context based on the technology-organization-environment (TOE) framework and diffusion of innovation (DOI) theory. Data were collected through an online questionnaire. Three hundred IT employees in different organizations in Thailand were used as a sample group. Structural equation modeling (SEM) was conducted to test the hypotheses. The result indicated that the research model was fitted with the empirical data with the statistics: Normed Chi-Square=1.651, GFI=0.895, AFGI=0.863, NFI=0.930, TLI=0.964, CFI=0.971, SRMR=0.0392, and RMSEA=0.046. The research model could, at 52%, explain decision to adopt BDT. Relative advantage, top management support, competitive pressure, and trading partner pressure show significant positive relation with BDT adoption, while security negatively influences BDT adoption.

Application Model System of Ice and Snow Sports Intelligent Tourism on Acccount of Big Data

“…Structural equation model (SEM) was used to test the hypothesis. The results show that the statistical fitting between the research model and empirical data is: normalized chi-square= 1.651, GFI = 0.895, AFGI = 0.863, NFI = 0.930, TLI = 0.964, CFI = 0.971, SRMR = 0.0392, RMSEA = 0.046 [1]. GhallabH proposed a big data technology, a new model NRDD-DBSCAN on account of DBSCAN algorithm, which uses elastic distributed data sets (RDD) to detect anomalies affecting the data quality of iot technologies.…”

Big data analytics usage in the banking industry in Tanzania: does perceived risk play a moderating role on the technological factors

“…Consistently, technological readiness in the present work refers to a bank's readiness and capacity to accept and use cutting-edge technology to improve operations, enhance client experiences and maintain competitiveness in the digital era. Related research has revealed a link between BDA and technological readiness (Aziz, Long, & Wan Hussain, 2023;Maroufkhani, Iranmanesh, & Ghobakhloo, 2023;Saetang et al, 2020). Similarly, future trends in BDA technology readiness are highlighted by recent studies (Huang, Yao, Krisp, & Jiang, 2021), including the incorporation of artificial intelligence (AI), the growing use of cloud-based solutions and the introduction of blockchain for data security.…”

“…Numerous studies have supported the ability of TOE in explaining various technologies' adoption in an organizational setting (El-Haddadeh, Osmani, Hindi, & Fadlalla, 2021;Gupta, Drave, Dwivedi, Baabdullah, & Ismagilova, 2020;Oliveira, Martins, Sarker, Thomas, & Popovi_c, 2019). The fundamental advantage of TOE is that it considers internal and external aspects in a single model, which sets it apart from other theories that explain technology adoption, such as institutional theory, knowledge-based view and technology structuration theory (Saetang, Tangwannawit, & Jensuttiwetchakul, 2020). Similarly, Awa, Ukoha, and Emecheta (2016) explained that due to the combinations of factors considered for adoption, TOE provides more holist insight on technological adoption that other theories which considered attitudinal factors only.…”

Faktor Teknologi Terhadap Adopsi Big Data Pada Era Transformasi Digital

“…Teori DOI diusulkan oleh Rogers pada tahun 1962 dan dikembangkan lebih lanjut. Adopsi inovasi adalah, proses di mana suatu inovasi dikomunikasikan melalui saluran tertentu dalam jangka waktu tertentu dalam sebuah sistem sosial (Rogers, 2003).…”

“…Inovasi dan karakteristik organisasi keduanya berkontribusi pada adopsi teknologi baru (Sun et al, 2020). Lima faktor penentu penting yang dapat memengaruhi tingkat adopsi dalan inovasi, yaitu relative advantage, complexity, complexity, trialability, dan observability (Rogers, 2003). Jadi dapat disimpulkan bahwa model DOI tersebut berfokus pada peran atribut teknologi yang penting untuk adposi TI dalam organisasi.…”