Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
Data Brief ; 50: 109554, 2023 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-37753257

RESUMEN

Macroeconomics data was collected through the Central Statistics Agency (BPS) Central Java Province for the thirty-five regencies and municipalities in Central Java Province from 2017 to 2021. The Fundamental index of fiscal decentralisation (FFDI) and Enhanced index of fiscal decentralisation (EFDI) were adapted from [1] and corresponding datasets matched to fiscal data from the Central Java province government. The data sources and indices' calculation methodologies were described in detail. The resulting indices, together with labour participation rate, as well as foreign and domestic investment data were analysed in a panel data analysis model with Gross Regional Domestic Product as the outcome variable. The collected data enables researchers and policy-makers to update observations on the impact of Indonesia's 'Big Bang' fiscal decentralisation on economic growth in a province with above-average growth rate but which had experienced significant challenges arising from the Covid-19 pandemic. This is in light of previous research findings which found that the Indonesian decentralisation has had mixed outcomes due to institutional and fiscal capability limitations within the local governments. The detailed sources and steps to obtain the required data and calculate the FFDI and EFDI enables researchers to apply the indices in providing updated observations on the impact of fiscal decentralisation on various socioeconomic phenomenon.

2.
Data Brief ; 42: 108238, 2022 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-35592770

RESUMEN

The covid-19 pandemic which took the world by storm changed our behaviour towards m-commerce with enforced movement restrictions across the world. This dataset documents the factors of consideration among Malaysian youths (age 15 to 24 years old) in their intention to adopt m-commerce. Collected from October to November 2020, a total of 396 useable responses were finalized. The questionnaire consists of individual demographic variables and factors which influence the intention of youths to adopt m-commerce in Malaysia. The dataset of demographics and m-commerce related variables can be used to further explore the correlations and description of variables. The dataset is valuable for m-commerce service providers and future works of literature in understanding the behaviour of youths and hence increase the adoption rate of m-commerce among youths.

3.
Data Brief ; 42: 108239, 2022 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-35592771

RESUMEN

The research aims to study the correlations between attitudes of users, social norms, perceived behavioural control, and purchase behaviours. The research population consists of social media users in Malaysia. The data was collected from 205 respondents via a self-administered online survey. The theory of planned behaviour acts as the underlying theory in the research. Next, descriptive and hypothesis-testing quantitative analysis were adopted to probe the relationships between the variables. Moreover, G*Power was used to identify the minimum sample size, and SPSS v.22 was employed to examine the datasets.

4.
Telemat Inform ; 64: 101676, 2021 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-34887616

RESUMEN

The mass spreading of COVID-19 has changed the paradigm of the education industry. In China and many other nations, universities have introduced compulsory remote education programs such as mobile learning (m-learning) to prevent public health hazards caused by the pandemic. However, so far, there is still a lack of understanding of student's learning experience responses in compulsory m-learning programs. As such, there is a necessity to explore the factors and mechanisms which drives students' experience. This paper evaluates the influence of both pedagogy and technology on learner's compulsory m-learning experience response (ER) by extending the mobile technology acceptance model (MTAM) during the COVID-19 pandemic. An online self-administered questionnaire was used to collect the data, which was then analysed through SmartPLS 3.2.9. Importance-performance matrix analysis was applied as a post-hoc procedure to gauge the importance and performance of the exogenous constructs. The results revealed that perceptions of m-learning's learning content quality, user interface, and system's connectivity affect the perceived mobile usefulness and easiness which in turn affects ER. This paper validates MTAM in the field of education by integrating MTAM with pedagogy and technology attributes under a social emergency setting such as the COVID-19 pandemic. In addition, the current research explains users' ER rather than behaviour intention which is commonly adopted in past studies.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA