https://hdl.handle.net/20.500.12573/411 2026-05-08T19:00:28Z 2026-05-08T19:00:28Z Gökmen, Seyit https://hdl.handle.net/20.500.12573/2421 2024-12-23T11:22:58Z 2024-01-01T00:00:00Z

Cultural Origins of Business Formation Gökmen, Seyit This paper presents a conceptual framework connecting historical kinship structures and generalized trust into modern business formation. Kinship intensity, defined as the degree of strength in family ties, is shaping the social and economic outlook of societies. Building upon the existing literature, I argue that societies with strong kinship ties often exhibit collectivist characteristics, leading to less trust towards outsiders. This hinders market efficiency and collaborative partnerships, resulting in business formation being largely confined to family-owned enterprises. Conversely, societies with loose kinship structures exhibits higher level of generalized trust that enable to promote engagements beyond family networks. This promotes establishing larger firms with strangers, more efficient markets, and greater cooperation with foreign firms. The paper suggests that kinship and trust behavior are deeply rooted in culture and influence social and economic development. It is important for policymakers to support initiatives that foster trust beyond family ties to promote collaboration among diverse market participants.; Bu makale, tarihsel akrabalık yapılarını ve toplumsal güveni modern iş organizasyonu ile ilişkilendiren kavramsal bir çerçeve sunmaktadır. Aile bağlarındaki güçlülük derecesi olarak tanımlanan kan bağları yoğunluğu, toplumların sosyal ve ekonomik görünümünü önemli ölçüde şekillendirmektedir. Mevcut literatüre dayanarak, güçlü akrabalık bağları olan toplumların genellikle kolektivist özellikler sergilediği ve bunun da aile dışı bireylere karşı duyulan güveni azalttığı düşünülebilir. Bu, piyasa verimliliğini ve işbirliğini engelleyerek firma oluşumunu büyük ölçüde aile işletmeleriyle sınırlı kalmasına neden olur. Tersine, zayıf akrabalık yapılarına sahip toplumlar, aile ağlarının ötesinde etkileşimleri teşvik ederek daha yüksek düzeyde toplumsal güven ortamının sağlanmasına imkan verir. Bu durum aile dışı bireylerle firmalar kurmayı, piyasaları daha verimli hale getirmeyi ve yabancı firmalarla daha fazla işbirliği kurulmasını teşvik eder. Bu makale, akrabalık ve güven davranışının toplum hafızasında derin köklere sahip olduğunu ve sosyal ve ekonomik gelişmeyi etkilediğini öne sürmektedir. Politika yapıcıların, çeşitli piyasa katılımcıları arasında işbirliğini teşvik etmek için aile bağlarının ötesinde güveni teşvik eden girişimleri desteklemesi önerilir.

2024-01-01T00:00:00Z Madenoglu, Fatma Selen https://hdl.handle.net/20.500.12573/2354 2024-08-29T07:43:07Z 2024-01-01T00:00:00Z

Green vehicle routing problem Madenoglu, Fatma Selen The decrease in natural resources, the fact that greenhouse gases cause global warming, and consumers' sensitivity to environmental, and health issues have forced businesses to develop sustainable strategies. The idea of "green logistics," which is focused on carrying out economically sensible environmental activities when producing goods and services, has gained significant relevance for this reason. Transportation activity is one of the most basic costs of logistics activity. Due to the fuels used in transportation and the greenhouse gases released, it has become vital to develop and implement sustainable and green energy policies in logistics activities. Green logistics has become one of the areas that needs to be emphasized. A metaheuristic is presented and proposed to solve the vehicle routing problem, which is a type of vehicle routing problem involved in optimizing simultaneous pickup and delivery considering carbon emissions in logistics activities. A green logistics approach is presented in order to guide businesses that aim to produce services in accordance with sustainable and green energy policies.

2024-01-01T00:00:00Z Madenoğlu, Fatma Selen https://hdl.handle.net/20.500.12573/2317 2024-08-02T08:31:38Z 2021-01-01T00:00:00Z

Solving Optimization Problem with Particle Swarm Optimization: Solving Hybrid Flow Shop Scheduling Problem with Particle Swarm Optimization Algorithm Madenoğlu, Fatma Selen The flow shop scheduling problem is widely discussed in the literature since it is frequently applied in real industry. This paper presents a variant of flow shop scheduling problem with parallel machines. The proposed problem includes multistage and identical parallel machines at each stage, and the sequence-dependent setup time and transportation time are considered. The objective function is minimization of makespan. The particle swarm optimization algorithm (PSO) is addressed to solve the problem and compared with genetic algorithm and heuristics. The benchmark instances are generated to demonstrate the performance of the PSO. The numerical results show that the PSO significantly outperforms the comparison set.

2021-01-01T00:00:00Z Madenoğlu, Fatma Selen https://hdl.handle.net/20.500.12573/2315 2024-07-24T12:39:55Z 2021-01-01T00:00:00Z

Managing transportation in supply chain: Metaheuristics for solving a capacitated fixed-charge transportation problem Madenoğlu, Fatma Selen Supply chain management is the managing of all processes of goods, services, and information from suppliers to customers. Transportation network design is an important part of effective supply chain management. This chapter presents the two-stage fixed-charge transportation problem in a supply chain to minimize the total cost containing the opening cost of distribution centers, transportation cost from manufacture to distribution centers and from distribution centers to customers, and fixed cost for transportation from distribution centers to customers. There are the capacity constraints on distribution centers in order to consider real life situations in this chapter. A constructive based algorithm and a population-based algorithm are proposed to solve this complex optimization problem. Taguchi experimental design is applied for determining the best combinations of parameters. The experimental studies are conducted to compare the performance of the proposed algorithms according to solution quality.

2021-01-01T00:00:00Z