Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan
Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, de...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2023-01-01
|
| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol12/dsl_2023_20.pdf |
| _version_ | 1827934528528711680 |
|---|---|
| author | Majed Kamel Ali Al-Azzam Mohammad Amhamoud Mked Al-Alwan Menahi Mosallam Alqahtani Sulieman Ibraheem Shelash Al-Hawary Atallah Fahed Alserhan |
| author_facet | Majed Kamel Ali Al-Azzam Mohammad Amhamoud Mked Al-Alwan Menahi Mosallam Alqahtani Sulieman Ibraheem Shelash Al-Hawary Atallah Fahed Alserhan |
| author_sort | Majed Kamel Ali Al-Azzam |
| collection | DOAJ |
| description | Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, despite being key players in any healthy economy, and the fact that BDA adoption can be facilitated by using the Technology Acceptance Model (TAM). The purpose of this study is to investigate the drivers of behavioral intention among managerial-level employees in Jordanian ICT SMEs to adopt BDA through a quantitative correlational research approach. The TAM questionnaire was used to gather data from 271 online survey participants in Jordan using Google Forms. The target group included management level staff working in small and medium-sized ICT firms (SMEs). Confirmatory factor analysis (CFA) was used to evaluate the research instrument's reliability and validity, and structural equation modeling (SEM) was utilized to test the study's hypotheses. The findings revealed that perceived usefulness, perceived ease of use, and perceived “privacy and security” significantly influenced managerial-level employees' behavioral intention to use BDA in their organizations. The research findings also supported the application of TAM, and the results of the investigation indicated that managerial-level employees would be willing to use BDA techniques providing they were perceived to be useful, user-effortless, and posed little concern about privacy and security. Overall, the current study's results demonstrate that the suggested model had good predictive power, 51% of the variance in behavioral intention, and was therefore capable of predicting managers' intentions to use BDA. |
| first_indexed | 2024-03-13T07:39:49Z |
| format | Article |
| id | doaj.art-956073d4e94b43a18df593b218b8a81e |
| institution | Directory Open Access Journal |
| issn | 1929-5804 1929-5812 |
| language | English |
| last_indexed | 2024-03-13T07:39:49Z |
| publishDate | 2023-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj.art-956073d4e94b43a18df593b218b8a81e2023-06-03T16:46:03ZengGrowing ScienceDecision Science Letters1929-58041929-58122023-01-0112360561610.5267/j.dsl.2023.4.004Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in JordanMajed Kamel Ali Al-AzzamMohammad Amhamoud Mked Al-AlwanMenahi Mosallam AlqahtaniSulieman Ibraheem Shelash Al-HawaryAtallah Fahed Alserhan Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, despite being key players in any healthy economy, and the fact that BDA adoption can be facilitated by using the Technology Acceptance Model (TAM). The purpose of this study is to investigate the drivers of behavioral intention among managerial-level employees in Jordanian ICT SMEs to adopt BDA through a quantitative correlational research approach. The TAM questionnaire was used to gather data from 271 online survey participants in Jordan using Google Forms. The target group included management level staff working in small and medium-sized ICT firms (SMEs). Confirmatory factor analysis (CFA) was used to evaluate the research instrument's reliability and validity, and structural equation modeling (SEM) was utilized to test the study's hypotheses. The findings revealed that perceived usefulness, perceived ease of use, and perceived “privacy and security” significantly influenced managerial-level employees' behavioral intention to use BDA in their organizations. The research findings also supported the application of TAM, and the results of the investigation indicated that managerial-level employees would be willing to use BDA techniques providing they were perceived to be useful, user-effortless, and posed little concern about privacy and security. Overall, the current study's results demonstrate that the suggested model had good predictive power, 51% of the variance in behavioral intention, and was therefore capable of predicting managers' intentions to use BDA.http://www.growingscience.com/dsl/Vol12/dsl_2023_20.pdf |
| spellingShingle | Majed Kamel Ali Al-Azzam Mohammad Amhamoud Mked Al-Alwan Menahi Mosallam Alqahtani Sulieman Ibraheem Shelash Al-Hawary Atallah Fahed Alserhan Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan Decision Science Letters |
| title | Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan |
| title_full | Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan |
| title_fullStr | Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan |
| title_full_unstemmed | Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan |
| title_short | Determinants of behavioral intention to use big data analytics (BDA) on the information and communication technologies (ICT) SMEs in Jordan |
| title_sort | determinants of behavioral intention to use big data analytics bda on the information and communication technologies ict smes in jordan |
| url | http://www.growingscience.com/dsl/Vol12/dsl_2023_20.pdf |
| work_keys_str_mv | AT majedkamelalialazzam determinantsofbehavioralintentiontousebigdataanalyticsbdaontheinformationandcommunicationtechnologiesictsmesinjordan AT mohammadamhamoudmkedalalwan determinantsofbehavioralintentiontousebigdataanalyticsbdaontheinformationandcommunicationtechnologiesictsmesinjordan AT menahimosallamalqahtani determinantsofbehavioralintentiontousebigdataanalyticsbdaontheinformationandcommunicationtechnologiesictsmesinjordan AT suliemanibraheemshelashalhawary determinantsofbehavioralintentiontousebigdataanalyticsbdaontheinformationandcommunicationtechnologiesictsmesinjordan AT atallahfahedalserhan determinantsofbehavioralintentiontousebigdataanalyticsbdaontheinformationandcommunicationtechnologiesictsmesinjordan |