Application of the ASA framework to startups: The case of Turkish tech startups
Bu tez size mi ait?
Bu kayıt toplu arşivden geldi. Sizinse profilinize bağlayın.
Özet (EN)
Creating and retaining the right culture in a startup is crucial for forming a climate for innovation and creativity. Still, it's challenging because it requires balancing various personalities within the organization while growing. The aim of this thesis is to study the applicability of the ASA (attraction – selection – attrition) framework in creating and sustaining a company culture and to determine how startup founders approach creating and retaining the company's culture. This exploratory study is conducted using qualitative research. The study sample consisted of 16 technology startup founders, excluding one pilot interview. Semi-structured interviews were conducted in order to understand the underlying factors influencing the strong company culture in the startups. Content analysis revealed constructing and maintaining the team is a potent theme among founders. In addition, it was found that startup funding stages were significant factors that seemed to be related to the formation of company culture.
Yazar
Berkem Peker
Bu Yayına Nasıl Atıf Yapılır
Berkem Peker (Master Thesis). Application of the ASA framework to startups: The case of Turkish tech startups, 2024, TOBB Economics and Technology University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
TOBB Economics and Technology University tezlerinden daha fazlası
- Eavesdropping potential in wireless sensor networks and modeling and analysis of network life time recovery(2018)
- A comparison of the effects of two different internal audit systems on strategic planning: A case study(2018)
- Unsupervised driver performance scoring using geographical position and sensor data(2018)
- Perception of Syrian asylum seekers and nationalism in Turkey: the case of Ekşi Sözlük(2018)
- Invisible women in the past: Politicization process of traditional women(2018)
- Product scheduling problem with learning effect in a flexible flow shop: an application in defense industry(2018)