Purpose The purpose of this paper is to propose an extended and modified value-added (VA) intellectual coefficient (VAIC) model, which includes intellectual capital (IC) components which were missing in the original VAIC approach. The proposed model has been used to explore the relationship between IC and firm performance for Turkish manufacturing firms on a more detailed level. Design/methodology/approach Multiple regression analysis has been employed to identify the IC components, which predict the performance of the firm and the moderating effect of some IC components on IC components–firm performance relationship. Data are required to calculate the IC components, and firm performance variables have been obtained from the financial reports of the Turkish manufacturing firms for the period 2003–2013. Findings According to the results for Turkish manufacturing sector innovation capital efficiency has a moderating effect on the relationship between structural capital efficiency (SCE) and profitability, meaning, depending on an increase in R&D expenses, the effect of SCE on profitability also increases. On the other hand, it has been found that innovation capital efficiency has a direct impact on firms’ productivity. The results also showed that IC efficiency components have a moderating role on the relationship between capital employed efficiency and profitability. Research limitations/implications There might be a time lag until the effect of R&D investments can be observed in firms’ performance. However, this lagged impact of innovation capital and also other IC components on future firm performance has not been investigated due to concerns related to sample size. Originality/value The proposed model differs from the original VAIC model in three ways: it, namely, includes two additional IC components, customer capital (CC) and innovation capital. It explores the moderating effect of innovation capital on structural capital–firm performance relationship and the moderating effect of IC components on employed capital–firm performance relationship. As the last difference, it proposes an alteration in the VA calculation due to newly added IC components, CC and innovation capital.

No abstract

It is important to manage reverse material flows such as recycling, reusing, and remanufacturing in a production environment. This paper addresses a production planning problem which involves reusing of scrap and recycling of waste that occur in the various stages of the production process and remanufacturing/recycling of returns in a closed-loop supply chain environment. An extended material requirement planning (MRP) is proposed as a mixed integer linear programming (MILP) model which includes—beside forward—these reverse material flows. The proposed model is developed for the jewelry industry in Turkey, which uses gold as the primary resource of production. The aim is to manage these reverse material flows as a part of production planning to utilize resources. Considering the mostly unpredictable nature of reverse material flows, the proposed model is likewise transformed into a fuzzy model to provide a better review of production plan for the decision maker. The suggested model is examined through a case study to test the applicability and efficiency.

Montaj hatları, insanoğlunun giderek artan gereksinimlerini karşılamak üzere geliştirilmiş üretim düzenlemeleridir. Montaj hatlarının geliştirilmesinin amacı; talebi yüksek ürünlerin, en kısa sürede, en verimli bir şekilde, ucuz ve istenen kalitede üretilmesidir. Montaj hattı dengeleme problemi zor sayılabilecek bir optimizasyon problemi olup, günümüzde hâlen büyük ölçekli montaj hattı dengeleme problemlerinin çözümü için sezgisel yöntemlere gereksinim duyulmaktadır. Bu çalışmada, Helgeson ve Birnie tarafından geliştirilen "Konum Ağırlıklı Montaj Hattı Dengeleme Yöntemi" kullanılarak, etek üretimi yapan bir konfeksiyon işletmesinde montaj hattı dengelemesi yapılmıştır.

In this article we present an external analysis of the Turkish clothing industry. Information on the companies was obtained by means of a questionnaire survey. Data were evaluated to see whether or not the Turkish clothing industry utilizes globalization market strategies, the important factors effective to implement these strategies, perceived problems, and execution of the strategies to compete in the global environment in addition to the modeling of the current situation of the strategies.