DEVELOPMENT OF A SUSTAINABLE BUSINESS MODEL FOR SMALL BUSINESSES USING DATA MINING

Yıl 2021, Cilt: 7 Sayı: 1, 111 - 144, 30.06.2021

Syed Waqas Ahmed , Imran Khan

Öz

SMEs (Small and Medium-Sized Organizations) are the foundational structure of the Pakistani Economy. Irrespective of their type, whether they belong to a religious-based business structure or not, many are unable to build a sustainable model around themselves and thereby go out of business. Common reasons include being unable to balance the cash inflow and outflow while choosing projects with a long lifespan and little monetary rewards. The paper presents the integration of concepts from Data Mining techniques to help these businesses understand which areas they need to improve. Classic decision trees along with machine learning algorithms can be used to analyze data from SMEs to understand the aspects of their decisions and workflow which leads them to become unsustainable. An analysis of these decisions in the context of religious regulations and dealings shall be done to assess whether the adoption of a faith-based business structure can help a business not. The paper also presents a comparison between secular and non-secular business approaches from the lens of sustainability and relating it to the success and the failure of SMEs all around the world. A brief analysis of the selected organizations is also included in the paper.

Anahtar Kelimeler

Economy, Sustainability, Data Mining, Decision Tree, SME

Destekleyen Kurum

Institute of Business Administration (IBA), Karachi, Pakistan

Teşekkür

During the process of writing this research paper, it was also presented at the 12th International Conference on Islamic Economics and Finance in June 2020.

VERİ MADENCİLİĞİ KULLANARAK KÜÇÜK İŞLETMELER İÇİN SÜRDÜRÜLEBİLİR BİR İŞ MODELİ GELİŞTİRME

Öz

KOBİ'ler (Küçük ve Orta Ölçekli Kuruluşlar) Pakistan Ekonomisinin temel yapısıdır. Türlerine bakılmaksızın, dini temelli bir iş yapısına ait olsunlar veya olmasınlar, çoğu kendi etrafında sürdürülebilir bir model kuramıyor ve bu nedenle iflas ediyor. Yaygın nedenler, uzun ömürlü ve çok az parasal ödülü olan projeleri seçerken nakit girişi ve çıkışını dengeleyememeyi içerir. Belge, bu işletmelerin hangi alanları iyileştirmeleri gerektiğini anlamalarına yardımcı olmak için Veri Madenciliği tekniklerinden kavramların entegrasyonunu sunar. Makine öğrenimi algoritmalarıyla birlikte klasik karar ağaçları, kararlarının ve iş akışlarının sürdürülemez hale gelmesine neden olan yönlerini anlamak için KOBİ'lerden gelen verileri analiz etmek için kullanılabilir. Bu kararların dini düzenlemeler ve ilişkiler bağlamında bir analizi, inanca dayalı bir iş yapısının benimsenmesinin bir işletmeye yardımcı olup olamayacağını değerlendirmek için yapılacaktır. Makale ayrıca sürdürülebilirlik açısından seküler ve seküler olmayan iş yaklaşımları arasında bir karşılaştırma sunmakta ve bunu tüm dünyadaki KOBİ'lerin başarısı ve başarısızlığı ile ilişkilendirmektedir. Belgede seçilen kuruluşların kısa bir analizi de yer almaktadır.

Anahtar Kelimeler

Ekonomi, Sürdürülebilirlik, Veri Madenciliği, Karar Ağacı, KOBİ

Kaynakça

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