Application Layer Challenges and Adoption Barriers to Internet Based Advanced Communication Technologies In SME

Kuruwitaarachch, N.

doi:10.1109/icebe.2018.00060

Cited by 3 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3) Determination of e-commerce infrastructure: After selecting a business model, determining the infrastructure becomes essential in defining and building e-commerce. The infrastructure that makes home industry e-commerce will be divided into 5 layers, and layer 1 to layer 5 is adjusted to the layer on the business infrastructure [29], [30].…”

Section: ) Business Model Selectionmentioning

confidence: 99%

The Design of E-Commerce System to Increase Sales Productivity of Home Industry in Indonesia

Agitha

Husodo

Afwani

et al. 2023

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

The household industry is the foundation of the existing home industry in Indonesia. It is categorized as a type of Small and Medium Enterprises (MSMEs) that significantly influence the Gross Domestic Product (GDP) ratio by up to approximately 10%. Since the pandemic of Covid-19, the home industry has increasingly stretched, especially in culinary and home craft products. The internet is one of the efforts to increase household industry sales. The household industry needs e-commerce to be a container for marketing its products. In this paper, we design an e-commerce system to support the sales productivity of the household industry in Indonesia. This study's e-commerce system or application is developed through some crucial stages. The stages are analysis through a questionnaire that represents needs in the field, selection of business models, namely B2B models with Virtual Storefront, marketplace concentrators, and lastly, Information Broker. Our infrastructure is determined for e-commerce development, and then strategy analysis is done using portfolio analysis, SWOT analysis, and competitor analysis. Based on the proposed strategy, we made a prototype as a designed e-commerce system that can increase sales for household businesses in cities in Indonesia. Important features in our proposed e-commerce system can accommodate many sellers or the household industry to establish relationships with many buyers based on geographical location, product search features based on closest positions or by city, and product categorization by familiar categories with household products.

show abstract

Section: ) Business Model Selectionmentioning

confidence: 99%

The Design of E-Commerce System to Increase Sales Productivity of Home Industry in Indonesia

Agitha

Husodo

Afwani

et al. 2023

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

A Survey on Industrial Information Integration 2016–2019

Chen

2020

J. Ind. Intg. Mgmt.

101

View full text Add to dashboard Cite

Industrial information integration engineering (IIIE) is a set of foundational concepts and techniques that facilitate the industrial information integration process. In recent years, many applications of the integration between Internet of Things (IoT) and IIIE have become available, including industrial Internet of Things (IIoT), cyber-physical systems, smart grids, and smart manufacturing. In order to investigate the latest achievements of studies on IIIE, this paper reviews literatures from 2016 to 2019 in IEEEXplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed. The results present up-to-date development of IIIE and provide directions for future research on IIIE.

show abstract

Assessing the Factors Underlying the Adoption of E-Commerce Among B2B SMEs

Ayawei,

Raborife,

Maduku

2023

Journal of Electronic Commerce in Organizations

View full text Add to dashboard Cite

This research examines the key factors of e-commerce adoption by South African and Nigerian B2B SMEs using a multi-perspective model that combines elements in the technological, organisational, and environmental contexts of the firms. Survey data for the research model were randomly collected; 700 were B2B SMEs in South Africa and Nigeria. A partial least squares structural equation model technique using the SmartPLS was applied to validate the measurement model and to assess the theorized relations. Results of the analysis showed that while some factors robustly predict the adoption of e-ecommerce by Nigerian and South African SMEs, other factors exclusively influenced either Nigerian B2B firms' adoption of e-commerce or South African B2B firms adoption of e-commerce. The findings highlight the importance of context-specific understanding of the drivers of e-commerce adoption among B2B firms in emerging African economies. It also outlines practical implications for promoting the adoption of e-commerce among B2B firms.

show abstract

Application Layer Challenges and Adoption Barriers to Internet Based Advanced Communication Technologies In SME

Cited by 3 publications

References 39 publications

The Design of E-Commerce System to Increase Sales Productivity of Home Industry in Indonesia

The Design of E-Commerce System to Increase Sales Productivity of Home Industry in Indonesia

A Survey on Industrial Information Integration 2016–2019

Assessing the Factors Underlying the Adoption of E-Commerce Among B2B SMEs

Contact Info

Product

Resources

About