A DSS framework for maintaining relevant features of the Small Business B2C Websites

Clicks: 39
ID: 282178
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #640 of 803 articles by views in arXiv

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 803 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Managers are heavily engaged in strategic decision-making for businesses, particularly in a changing environment. One of the most important decisions for online small businesses, as part of their strategic planning, is selecting relevant features on their websites, both to attract and interact with consumers. However, only a few Australian small businesses use strategic tools for selecting their website features. As a result, businesses lose potential domestic sales in the business-to-consumer (B2C) sector. The aim of this study is to determine the relationship between factors that influence consumers' online purchasing, and owner/manager strategic decisions in selecting relevant features for websites. Results from employing qualitative case studies with small business owner/managers, and a content analysis of website features, inform the design of a Decision Support Systems (DSS) framework. This may assist owner/managers' strategic decisions to implement competitive features on B2C websites that ultimately attract more consumers.
Reference Key
miah2016a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Madhury Khatun; Shah Jahan Miah
Journal arXiv
Year 2016
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.