Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand

Dublin Core

Title

Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand

Subject

Big Data Maturity Model
Big Data SMEs
BDMM mobile application
BDMM

Description

A Big Data maturity model (BDMM) is one of the key tools for Big Data assessment and monitoring, and a guideline for maximizing the usage and opportunity of Big Data in organizations. The development of a BDMM for SMEs is a new concept and is challenging in terms of development, application, and adoption. This article aims to create the novel online adaptive BDMM via responsive web application for SMEs. We develop the BDMM API and a responsive web application for easy access via mobile phone. We developed a model by analyzing the factors impacting the success of implementing Big Data Analytics (BDA) in SMEs based on literature reviews. The model was verified by conducting a survey of 180 SMEs in Thailand, interviewed against four extracted domains. Then, the scoring and classified levels for the model was developed through Latent Class Analysis (LCA) to depict four levels of each domain and four final maturity levels to create an adaptive model. As the experimental results with 33 users including executive officers, managers, IT and data analytic officers .The user acceptance for our mobile application using TAM indicates that executive officers group and non-executive group satisfied perceived usefulness, perceived ease of use, and intention to use factor. Use cases of the application include SMEs monitoring for their Big Data Analytics capability for improvement, and the Government Agency providing proper support on SMEs’ level of competency.

Creator

Limpeeticharoenchot, Santisook
Cooharojananone, Nagul
Chanvanakul, Thira
Tuaycharoen, Nuengwong
Atchariyachanvanich, Kanokwan

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 87-106
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2020-11-10

Rights

Copyright (c) 2020 Santisook Limpeeticharoenchot, Nagul Cooharojananone, Thira Chanvanakul, Nuengwong Tuaycharoen

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Santisook Limpeeticharoenchot et al., Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 7, 2024, https://igi.indrastra.com/items/show/1795

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