Readiness factors for information system strategic planning among universities in developing countries: a systematic review

Irfan, Mohamad; Putra, Syopiansyah Jaya; Alam, Cecep Nurul; Subiyakto, A’ang; Wahana, Agung

doi:10.1088/1742-6596/978/1/012046

Cited by 22 publications

(11 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As the researchers have noted, technological sufficiency and readiness strongly influence the productivity or disadvantage of the processes (Parasuraman & Colby, 2015;Pham et al, 2020). Besides, Irfan et al (2018) stated that enough resources in IT systems increase the success of the universities to adapt transition.…”

Section: It Readinessmentioning

confidence: 99%

University Readiness to Online Education during Covid-19 Pandemic

2021

IJSSES

View full text Add to dashboard Cite

The aim of the study is to develop a reliable evaluation criterion to assess the readiness of the education institutions for online education. In this regard, we adopted Lokuge et al. (2019) questionnaire to evaluate universities preparedness in Kurdistan Region of Iraq. Based on that, content analysis has been fulfilled with the academicians in the region. The results were analyzed through validity and reliability methodologies. Lastly, the independent samples t-test has been employed to compare the readiness of public and private universities in the region. Therefore, the prior aim of the current study was to develop a questionnaire to test the readiness of the universities for online education. Secondly, we aimed to test the questionnaire comparing the readiness of public and private universities. It was found that the adopted questionnaire worked properly in the education field. Therefore, the questionnaire can be used in all educational institutions. Secondly, there is a lack of study in the readiness for online education field after Covid-19. Hence, the current study develops a methodology to measure online education at the universities using a state of art questionnaire.

show abstract

Section: It Readinessmentioning

confidence: 99%

University Readiness to Online Education during Covid-19 Pandemic

2021

IJSSES

View full text Add to dashboard Cite

show abstract

“…Measurement of the model used is indirectly inspired by the measurement of models that many other researchers [15], such as the development of models carried out by Antara and Mertz [19,20], viewed from the practical side that Information Systems research tends to be developed from previous models rather than based on empirical studies [21]. Therefore the measurement of the model in this study follows the previous researchers with the following stages, namely by adopting, combining, and adapting the previous model [22][23][24], The following nine variables are used in this study, consisting of four readiness variables and five information system impact variables. First is Optimistic attitude (OPT), second is innovative attitude (INV), third is discomfort attitude (DCF), and fourth is Insecurity attitude (ISC), fifth is Individual Impact (II), sixth is Organizational Impact (OI), seventh is the Quality System (SQ), the eighth is Information Quality (IQ), and the ninth is the Impact of a successful Information System (IS-Impact).…”

Section: Methodsmentioning

confidence: 99%

Integrating the Readiness and IS-Impact Constructs in the Rural Area Context: A Questionnaire Testing

Firmansyah¹,

Sofyan²,

Guntara³

et al. 2020

Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, In

View full text Add to dashboard Cite

The purpose of this study is to examine the model of readiness and success of Rural ICT that is integrated with assessing the impact of Rural ICT use in Indonesia. Based on Rural ICT user data collected through surveys obtained, structural equation modeling (SEM) and path analysis were used to test the research model. The sample consisted of Rural ICT users from a number of villages in Indonesia. The research sample was obtained by distributing questionnaires through WA Group and e-mail, there were 80% of respondents filling out questionnaires from various stakeholders, respondents stated readiness in using Rural ICT. The results revealed that optimism and innovation had a positive effect on the use of the system. The quality of the system and the quality of information quality were found to be the main factors driving the use of the system. In addition, this study tries to provide a review of the literature from the latest studies published in the field of Rural ICT.

show abstract

“…Measurement of the model used is indirectly inspired by the measurement of models that many other researchers [16], such as the development of models carried out by Antara and Mertz [20,21], viewed from the practical side that Information Systems research tends to be developed from previous models rather than based on empirical studies [22]. Therefore the measurement of the model in this study follows the previous researchers with the following stages, namely by adopting, combining, and adapting the previous model [23][24][25]. The following nine variables are used in this study, consisting of four readiness variables and five information system impact variables.…”

Section: Methodsmentioning

confidence: 99%

Examining Readiness of E-Learning Implementation using Information System Readiness Impact Model

Firmansyah

Herdiana

Yuniarto

2020

2020 8th International Conference on Cyber and IT Service Management (CITSM)

View full text Add to dashboard Cite

This study aims to test the readiness model and the impact of integrated information systems by assessing the impact of using e-learning during the COVID-19 pandemic. Based on data from e-learning users collected through the survey obtained, structural equation models and path analysis were used to test the research model. The sample consisted of e-learning users from rural campuses. In this case, the students of STMIK Sumedang and UIN Bandung. The research sample was obtained by distributing questionnaires through the WA Group and email. As many as 169 respondents filled out the questionnaire and stated that they were ready to use elearning. The results showed that optimism and innovation had a positive effect on system use. The quality of the system and the quality of information are the main factors driving the use of the system. Also, this study tries to provide a literature review of the latest research published in the field of information systems, especially in rural areas.

show abstract

Readiness factors for information system strategic planning among universities in developing countries: a systematic review

Cited by 22 publications

References 7 publications

University Readiness to Online Education during Covid-19 Pandemic

University Readiness to Online Education during Covid-19 Pandemic

Integrating the Readiness and IS-Impact Constructs in the Rural Area Context: A Questionnaire Testing

Examining Readiness of E-Learning Implementation using Information System Readiness Impact Model

Contact Info

Product

Resources

About