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All Journal Binus Business Review JOIV : International Journal on Informatics Visualization
Yudi Fernando
Bina Nusantara University
Computer Science & IT Economics, Econometrics & Finance

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Drivers of Cloud Computing Adoption in Small Medium Enterprises of Indonesia Creative Industry Anderes Gui; Yudi Fernando; Muhammad Shabir Shaharudin; Mazita Mokhtar; I Gusti Made Karmawan; - Suryanto
JOIV : International Journal on Informatics Visualization Vol 5, No 1 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.1.461

Abstract

Cloud computing is one of the enablers of Industrial Revolution 4.0 (IR.40). IR 4.0 is advantageous as it allows companies to increase performance and productivity. However, there are many enablers of IR 4.0, such as big data analytics, cloud computing, machine learning, and blockchain. However, the readiest to be used technology is cloud computing. While the advantages of cloud computing are well understood from the perspective of the literature and companies' point of view, the empirical evidence is still scarce. The research explores the drivers of cloud adoption between small and medium-sized enterprises (SMEs) in Indonesia. The study method is a quantitative method through e-survey data collection analyzed using IBM SPSS and Smart PLS software. The recognition of drivers will allow IT decision-makers to design the right platform for SMEs, increasing their company competitiveness. The findings revealed that cloud flexibility, perceived concern, privacy, relative advantage, perceived cost-benefit, quality of service, and top management support are among the top cloud adoption priorities that need to be improved in the creative industry to ensure the adoption of cloud computing more apparent. The study's contribution revealed that cloud computing is no longer at the infant stage in terms of adoption. Thus, the findings paved the way for scholars to undertake future research focusing on cloud computing implementation. Companies, on the other hand, can learn from this research by improving the adoption aspects.
Cloud Computing Adoption Using TOE Framework for Indonesia’s Micro Small Medium Enterprises Anderes Gui; Yudi Fernando; Muhammad Shabir Shaharudin; Mazita Mokhtar; I Gusti Made Karmawan; - Suryanto
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.458

Abstract

Cloud computing is one of the pillars of the Industrial Revolution 4.0. Cloud computing provides ample benefits to companies such as mobility, ease of access, and enable collaboration. Nevertheless, the impact of cloud computing on the micro, small and medium enterprises (MSMEs) is not well established. This research aims to classify the factors affecting the acceptance of cloud computing in Indonesian MSMEs. A total of 135 participants participated in this analysis. The TOE Structure is used in this analysis. Methods of data collection using Google form. The details have been analysed with SPSS and SmartPLS. The findings demonstrated that top management encouragement and relative advantages have a positive impact on the adoption of cloud computing in MSMEs in Indonesia. In order to increase the adoption of cloud-based computing in Indonesia, cloud-based businesses need to concentrate on these two reasons so that MSMEs in Indonesia can embrace more cloud computing. Furthermore, the improvement of cloud computing adoption should come from government policy and incentives. Theoretically, this research helps to establish the TOE framework by providing empirical evidence. This research also explains that the TOE framework can help companies to understand critical domains that impact their businesses and which domain companies should focus.
A Data-Driven Supply Chain: Marketing Data Sharing, Data Security, and Digital Technology Adoption to Predict Firm’s Resilience Yudi Fernando; Ridho Bramulya Ikhsan
Binus Business Review Vol. 14 No. 1 (2023): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v14i1.9305

Abstract

Business automation has been driven recently with Technology 4.0 to manage the supply chain process and complexity. The secured data-driven supply chain is critical for business competitiveness. However, not all companies can manage, analyze, and interpret structured and unstructured data wisely. For record-keeping purposes, data are left unprotected and stored. Ideally, it should play a strategic role in decision-making and escalating business performance. The practices are inconsistent with the awareness of data security governance and proper usage of digital technologies. The research aimed to examine the data-driven supply chain that conceptualised marketing data sharing, data security, and digital technology adoption to predict a firm’s resilience. The research applied a quantitative approach. The survey was conducted on Malaysian manufacturing firms. The data were collected electronically and analysed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) 4.0. Around 375 companies participated in the survey. The results show the positive path links from predictors (marketing data sharing, digital technology adoption, and data security governance) and criteria. It also finds that data security and marketing data sharing have impacted digital technology adoption, leading to the supply chain’s resilience. The research has concluded that the secure sharing of the data-driven supply chain can improve a firm’s resilience. Manufacturing companies should make swift focus on data quality and utilize it wisely. The research concludes that empowering data analytics to understand customer preferences is necessary.
Co-Authors - Suryanto Anderes Gui Anderes Gui I Gusti Made Karmawan Mazita Mokhtar Muhammad Shabir Shaharudin Ridho Bramulya Ikhsan