iBiz: An Android Mobile Application with Business Intelligence for Retail Micro and Small Enterprises (MSEs)

G. L. Intal, Lex Marco Paulo Miranda, Julianne Isabel Sitoy, Roehl Matoza
{"title":"iBiz: An Android Mobile Application with Business Intelligence for Retail Micro and Small Enterprises (MSEs)","authors":"G. L. Intal, Lex Marco Paulo Miranda, Julianne Isabel Sitoy, Roehl Matoza","doi":"10.1145/3537693.3537755","DOIUrl":null,"url":null,"abstract":"Currently some Micro and Small sized Enterprises (MSEs) are still recording their sales records, purchases records, and inventory records with pen and paper or the manual method. This may be the reason why MSEs are currently being left behind when it comes to utilizing business intelligence. This inspired the researchers to develop a lightweight mobile application with business intelligence capabilities for MSEs to be able to record their sales, purchases, and inventory in a mobile phone and be able to harness business intelligence with dashboards that will allow them to monitor their sales, purchases and inventory records in more comprehensive ways. After the application was developed using Dart and the Flutter SDK along with the aid of Firebase and Cloudinary as application back-ends, it was tested via functionality and usability testing methods. There were 40 owners of retail micro and small enterprises that were given a structured usability review survey composed of Likert scaled questions to analyze the applicability of the application to MSEs. Analyzing the responses, the researchers were able to determine that the businesses or respondents perceived the developed mobile application as having relevance to their business, with a verbal description of “Excellent” for each functionality in question. The respondents also perceived the application as having satisfactorily presented enough information and functionalities that would be able to help in their business. The results showed that the respondents answered “Strongly Agree” to the importance of the mobile application to their company and they would be willing to use it in the future. Having the prior results and analyses in mind, the researchers conclude that the developed android mobile business intelligence application is viewed applicable for retail micro and small enterprises by its owners as the respondents.","PeriodicalId":71902,"journal":{"name":"电子政务","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"电子政务","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1145/3537693.3537755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Currently some Micro and Small sized Enterprises (MSEs) are still recording their sales records, purchases records, and inventory records with pen and paper or the manual method. This may be the reason why MSEs are currently being left behind when it comes to utilizing business intelligence. This inspired the researchers to develop a lightweight mobile application with business intelligence capabilities for MSEs to be able to record their sales, purchases, and inventory in a mobile phone and be able to harness business intelligence with dashboards that will allow them to monitor their sales, purchases and inventory records in more comprehensive ways. After the application was developed using Dart and the Flutter SDK along with the aid of Firebase and Cloudinary as application back-ends, it was tested via functionality and usability testing methods. There were 40 owners of retail micro and small enterprises that were given a structured usability review survey composed of Likert scaled questions to analyze the applicability of the application to MSEs. Analyzing the responses, the researchers were able to determine that the businesses or respondents perceived the developed mobile application as having relevance to their business, with a verbal description of “Excellent” for each functionality in question. The respondents also perceived the application as having satisfactorily presented enough information and functionalities that would be able to help in their business. The results showed that the respondents answered “Strongly Agree” to the importance of the mobile application to their company and they would be willing to use it in the future. Having the prior results and analyses in mind, the researchers conclude that the developed android mobile business intelligence application is viewed applicable for retail micro and small enterprises by its owners as the respondents.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
iBiz:面向零售微型和小型企业(MSEs)的具有商业智能的Android移动应用
目前,一些微型和小型企业(MSEs)的销售记录、采购记录和库存记录仍采用纸笔或手工记录的方式。这可能就是为什么中小企业目前在利用商业智能方面落后的原因。这激发了研究人员开发一种轻量级的移动应用程序,该应用程序具有商业智能功能,使mse能够在手机上记录其销售、采购和库存,并能够利用带有仪表板的商业智能,使他们能够以更全面的方式监控其销售、采购和库存记录。在使用Dart和Flutter SDK以及Firebase和cloudary作为应用程序后端进行开发后,通过功能和可用性测试方法对其进行了测试。有40个零售微型和小型企业的所有者得到了一个结构化的可用性审查调查,该调查由李克特量表问题组成,以分析应用程序对中小企业的适用性。通过分析反馈,研究人员能够确定企业或受访者认为开发的移动应用程序与他们的业务相关,并对所讨论的每个功能进行“优秀”的口头描述。受访者还认为该应用程序提供了足够的信息和功能,这将有助于他们的业务。结果显示,受访者回答“非常同意”移动应用程序对他们公司的重要性,他们愿意在未来使用它。考虑到之前的结果和分析,研究人员得出结论,开发的android移动商业智能应用程序被其所有者作为受访者认为适用于零售微型和小型企业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
4246
期刊介绍:
期刊最新文献
What services do experienced online grocery shoppers appreciate moving forward? Identification of Customers Satisfaction with Popular Online Shopping Apps in Saudi Arabia Using Sentiment Analysis and Topic modelling Covid 19’s Impact on Stocks'Relative Risks Analyzing the Language Functions of Food Advertising Contents in Instagram Reels and TikTok Videos Impact of Marketing Orientation, Learning Orientation and Entrepreneurial Orientation on Business Performance of Culinary SME in Jakarta
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1