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为可视化虚拟经济和可持续性经济指标对新的中小企业数字业务状况进行建模和评估:来自家禽业的实证证据。

Modelling and assessing new SME digital business status for visualising virtual economics and sustainability economic indicators: Empirical evidence from poultry business.

作者信息

Chaichana Thanapong, Reeve Graham, Jaisan Chalalai, Chakrabandhu Yasinee

机构信息

Chiang Mai University, Chiang Mai, 52000, Thailand.

Navamindradhiraj University, Bangkok, 10300, Thailand.

出版信息

Heliyon. 2024 May 4;10(9):e30624. doi: 10.1016/j.heliyon.2024.e30624. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30624
PMID:38756572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11096974/
Abstract

SMEs are generally recognised as financial contributors to regional economic development. Despite the enormous contributions of digital SMEs to sustainable economic growth and regional development have not yet been reported. This paper assesses and models SME businesses to gain a digital business status and model. These days, visualising economic growth is challenging and powerful to identify business performance and realise sustainable regional development. This research analyses empirical data obtained from a poultry business to form a standard model for implementing a new SME digital business model and status. This standard model is a guideline to measure the other SME businesses and productions. Localisation of the SDGs was analysed using thematic analysis. Mathematical computation is used to visualise virtual economic growth geographically. Hence, our digital business model and status demonstrated business performance, management, and economic growth.

摘要

中小企业通常被视为区域经济发展的财政贡献者。尽管数字中小企业对可持续经济增长和区域发展的巨大贡献尚未见报道。本文评估并构建中小企业业务模型以获得数字化业务状态和模型。如今,可视化经济增长对于识别企业绩效和实现可持续区域发展具有挑战性且意义重大。本研究分析了从家禽企业获得的实证数据,以形成实施新的中小企业数字商业模式和状态的标准模型。该标准模型是衡量其他中小企业业务和生产的指南。使用主题分析对可持续发展目标的本地化进行了分析。利用数学计算在地理上可视化虚拟经济增长。因此,我们的数字商业模式和状态展示了企业绩效、管理和经济增长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/03a47f88ff6d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/2ad41389b61a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/f85d09ae114e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/dd2efa2391c1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/d1f16ae7dfbb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/03a47f88ff6d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/2ad41389b61a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/f85d09ae114e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/dd2efa2391c1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/d1f16ae7dfbb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca2/11096974/03a47f88ff6d/gr5.jpg

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