İşletme Bölümü / Department of Business Administration
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Publication A Methodological Problem: “Created Artifical Awareness” in CSR Research(2017-06) Arıker, Çağla; 116171When studies on Corporate Social Responsibility (CSR) are examined, it is seen that most of the studies assume awareness of CSR or create artificial awareness. This is a methodological problem and can be named as “Created Artificial Awareness”. “Created Artificial Awareness” can be defined as generating subjects’ awareness for CSR projects of brands by providing examples through the use of scenarios and / or survey items that include CSR related expressions when collecting data for CSR studies. In this research, two studies were conducted to highlight the effect of “Created Artificial Awareness”. The first objective of the research is to explore real awareness levels of young consumers for CSR projects of the brands they preferred. For this purpose, an open-ended questionnaire was used and participants were asked for explaining the reasons of preference for a brand in Study 1. The main interest is to explore the rate of CSR as a reason of preference without “Created Artificial Awareness” effect. The second objective of the research is to reveal the difference between two studies that have methodological differences in terms of “Created Artificial Awareness”. For this purpose, in Study 2, a close-ended questionnaire that measures attribute preferences including CSR attributes was conducted to the same sample. The results of two studies were compared. The last research objective is to display the effect of “Need for Social Desirability” on indication of CSR related attributes as a reason of preference when “Created Artificial Awareness” effect is in charge due to the close-ended questions.Publication A model proposal for the chaotic structure of Istanbul stock exchange(PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2008-06) İşeri, Müge; Çağlar, Hikmet; Çağlar, Nazan; TR110809; TR114368Chaos theory is considered a novel way of understanding the behaviour of nonlinear dynamic systems. It is well known that the evaluation of chaotic systems is dependent on initial conditions since exponential growth error is a common characteristic. This present paper evaluates the effects of a nonlinear dynamic system in Istanbul Stock Exchange, based on time series. The reliability of predicting stock behaviour depends on this fact. In other words, the aim is to prove that if ISE daily index return shows chaotic behaviour. (C) 2006 Elsevier Ltd. All rights reserved.Publication A Model Suggestion For Customer Saticfaction in the Proces of Using Mobile Shoping Applications: The Role of Personal Innovativeness as a moderator(2018-11) Çarıkçıoğlu, Peyami Safa; Yüksel, Cenk Arsun; 4525; 176293This study examines the relations: consumers' price sensitivity and perceived ease of use is related to customer satisfaction and also personal innovativeness has some effects on these relations, in purchases made by mobile applications. Research on consumer behavior in the field of electronic commerce is widely discussed in the literature. But, in the field of mobile commerce, there are few studies analyzing the behavior of information systems, especially for shopping with mobile applications. If information systems are successfully managed, ways will be made to achieve the desired goal, marketing strategies and channels, sales and more. Thus, it would be advantageous to make mobile technology easy to use, measuring the price sensitivity that affects purchasing decisions, ensuring the adoption of new information systems to enable users to shop with mobile applications. When the variables reach a satisfactory level, mobile marketing will be considered successful. Taking these variables into consideration, an improved model to this research is proposed. Therewith, (N=612) mobile users were questioned in the survey study and used Structural Equation Modeling (SEM) in AMOS program. In the research results, it is found that personal innovativeness is the most influential variable on customer satisfaction about mobile shopping applications. It has also been observed that in shopping by mobile applications, the perceived ease of use and price sensitivity are moderators of personal innovativeness in customer satisfaction. Personal innovativeness is a moderator variable which has a positive effect and it increases customer satisfaction.Publication A particle swarm optimization algorithm for makespan and total flowtime minimization in the permutation flowshop sequencing problem(ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2007-03-16) Taşgetiren, M. Fatih; Liang, Yun-Chia; Şevkli, Mehmet; Gençyılmaz, Güneş; TR30141; TR43111; TR19428In this paper, a particle swarm optimization algorithm (PSO) is presented to solve the permutation flowshop sequencing problem (PFSP) with the objectives of minimizing makespan and the total flowtime of jobs. For this purpose, a heuristic rule called the smallest position value (SPV) borrowed from the random key representation of Bean [J.C. Bean, Genetic algorithm and random keys for sequencing and optimization, ORSA Journal of Computing 6(2) (1994) 154-160] was developed to enable the continuous particle swarm optimization algorithm to be applied to all classes of sequencing problems. In addition, a very efficient local search, called variable neighborhood search (VNS), was embedded in the PSO algorithm to solve the well known benchmark suites in the literature. The PSO algorithm was applied to both the 90 benchmark instances provided by Taillard [E. Taillard, Benchmarks for basic scheduling problems, European Journal of Operational Research, 64 (1993) 278-285], and the 14,000 random, narrow random and structured benchmark instances provided by Watson et al. [J.P. Watson, L. Barbulescu, L.D. Whitley, A.E. Howe, Contrasting structured and random permutation flowshop scheduling problems: Search space topology and algorithm performance, ORSA Journal of Computing 14(2) (2002) 98-123]. For makespan criterion, the solution quality was evaluated according to the best known solutions provided either by Taillard, or Watson et al. The total flowtime criterion was evaluated with the best known solutions provided by Liu and Reeves [J. Liu, C.R. Reeves, Constructive and composite heuristic solutions to the P parallel to Sigma C-i scheduling problem, European Journal of Operational Research 132 (2001) 439-452], and Rajendran and Ziegler [C. Rajendran, H. Ziegler, Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs, European Journal of Operational Research, 155(2) (2004) 426-438]. For the total flowtime criterion, 57 out of the 90 best known solutions reported by Liu and Reeves, and Rajendran and Ziegler were improved whereas for the makespan criterion, 195 out of the 800 best known solutions for the random and narrow random problems reported by Watson et al. were improved by the VNS version of the PSO algorithm. (c) 2006 Elsevier B.V. All rights reserved.Publication A Research on Business Failure/Success Measurement in BIST 100 Firms: An Empirical Analysis(2019-10-14) Çetiner, Emine Müge; 2855Publication Attitudes of the First Representatives of Generation Z toward Corporate Social Responsibility Projects and Their Purchasing Intention for Socially Responsible Companies Products(2014) Küçükaltan, Derman; Arıker, Çağla; Toksoy, Andaç; 5549; 116171; 107396Publication B-spline Method For Solving Linear System Of Second-Order Boundary Value Problems(Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, England, 2009-03) Çağlar, Nazan; Çağlar, Hikmet; TR110809; TR114368The B-spline method is used for the numerical solution of a linear system of second-order boundary value problems. Two examples are considered for the numerical illustration and the method is also compared with the method proposed by J. Lu [J. Lu, Variational iteration method for solving a nonlinear system of second-order boundary value problems, Comput. Math. Appl. 54 (2007) 1133-1138]. The comparison shows that the B-spline method is a more efficient and effective tool and yields better results. (C) 2008 Elsevier Ltd. All rights reserved.Publication B-spline solution of singular boundary value problems(ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA, 2006-11-15) Çağlar, Nazan; Çağlar, Hikmet; TR110809; TR114368Homogeneous and non-homogenous singular boundary value problems (special case) are solved using B-splines. The original differential equation is modified at singular point then the boundary value problem is treated by using B-spline approximation. The method is tested on some model problems from the literature, and the numerical results are compared with exact solution. (c) 2006 Elsevier Inc. All rights reserved.Publication B-Spline Solution Of The Black-Scholes Partial Differential Equation(Eudoxus Press, Llc, 1424 Beaver Trail Drive, Cordova, Tn 38016 Usa, 2010-07) Çağlar, Nazan; İşeri, Müge; Çağlar, Hikmet; Özer, Mehmet; TR110809; TR114368; TR2509The numerical solutions of several mathematical models In the financial economics arc arising. Most of the models are based on the Black-Scholes partial differential equations. In this paper, the Black-Scholes option pricing model which has been used frequently is solved by using the B-spline functions. The numerical experiments showed that the present method is an applicable technique and gives an exciting results for European option pricing.Publication Cointegration between Portuguese Stock Exchange (PSI) index and Istanbul stock exchange (BIST) 100 index(2019-06) Gürel, Ceren Aycan; 285690Bu çalışmanın amacı; portföy çeşitlendirmesi yapmak isteyen yatırımcılara bilgi sağlamak amacıyla, BIST 100 VE PSI borsalarındaki ilişkinin eş bütünleşme analizi ile ölçülmesidir. 15/01/2009-15/01/2019 dönemini kapsayan çalışmada fiyat endekslerinin aylık kapanış verileri kullanılmıştır. Piyasalar arasındaki finansal entegrasyonu değerlendirebilmek için önce Geliştirilmiş Dickey-Fuller (ADF) ve Phillips-Perron (P-P) testleri ile birim kök araştırması yapılmış, daha sonra Johansen Koentegrasyon Analizi kullanılmıştır. Ayrıca tanımlayıcı istatistik analizi, korelasyon analizi, durağanlık analizi de kullanılmıştır. Bu bağlamda iki ülke piyasası, portföy çeşitlendirme fırsatları açısından değerlendirilecektir. The aim of this study is; In order to present information to investors who want to make their portfolio diversification, the relationship between BIST 100 and PSI exchanges is measured by cointegration analysis. In the study covering the period between 15/01 / 2009-15 / 01/2019, monthly closing data of price indexes are used. In order to evaluate the financial integration between markets, firstly unit root analyses are performed by Augmented Dickey-Fuller (ADF) and Phillips-Perron (P-P) tests, and then Johansen Cointegration Analysis is used. Also descriptive statistical analysis, correlation analysis, and stationarity analysis are used. In this context, the two countries' market will be evaluated in terms of portfolio diversification opportunities.Publication Deploying Critical Success Factors and Leadership Qualifications(2005) Şen, Ali; 152444Publication Dynamic Pricing for Revenue Management in Retailing Using Support Vector Machine, Poisson Regression and Nonlinear Programming(2017-01) Bilişik, Murat Taha; Sezgin, Funda Hatice; Esnaf, Şakir; 204668; 136200; 116649In recent years, dynamic pricing studies which depend on price-based revenue management have increased significantly due to the devolopments in predictive modeling softwares. Accordingly, studies dealing with the prediction of demand functions and price optimizations have also increased. In this research, a new methodology which could be used in retailing is suggested. In this context, support vector machine which depends on statistical learning and poisson regression which deals with count data is used separately in a comparative manner. In the result of comparisons, using the demand functions of the better forecasting model which has the lowest forecasting errors among them, price based revenue functions are generated. After this, in the case of unlimited capacity, taking the derivative of these previously obtained price based revenue functions or alternatively by using unconstrained nonlinear programming, optimal sales prices which maximized the relevant revenue functions are determined. In the case of limited capacity, price based revenue functions are rearranged according to the relation between price and demand and these rearranged revenue functions are proposed to be the objective function of nonlinear programming model given in this study. Adding capacity constraints to the model, similarly, optimal dynamic price policy which maximized revenue function of the retailer are constructed for the limited capacity conditions.Publication Efficiency Research With Total Factor Productivity and Determination of Improvement Targets(2017) Bilişik, Murat Taha; Özkaya Elibol, Gülizar; 204668Purpose - In today's competitive world, when financial crises and economic stagnation are experienced, the effective and efficient use of resources has become an important and necessary condition for companies and country economies. The iron-steel industry, which provides a great deal to the country's economies, also provides raw materials to a large number of industries. In the iron-steel industry, where our country has limited resources and high dependency on external sources, it is necessary to determine whether the resources are used correctly to evaluate the efficiency and productivity and to determine the appropriate improvement targets. Methodology – In this study, the activities of 9 iron and steel companies listed in Istanbul stock market and operating in the Turkish iron and steel industry have been examined using output oriented Data Envelopment Analysis (DEA) which is a non-parametric approach and Malmquist productivity index (MPI). In the study, 3 input factors have been number of employees, fixed assets and current assets. On the other hand, 2 output factors have been revenue and gross profit . The required data sets were obtained from 2014 and 2015 financial statements of the relevant companies. Findings – Technical efficiencies, pure efficiencies, scale efficiencies and Malmquist indexes for each company have been found. According to the results obtained, decision making units which are efficient and inefficient were determined. By the way, the reasons for Malmquist Productivity Index, in terms of technical change and technological cahange have been explained. Conclusion – Iron-steel companies determined to be unproductive may use these results to find out the detailed reasons preventing them to be productive. Since activities are directly proportional to the use of resources, organizations need to reduce input or take measures to increase their output. Increasing the production of high value added products or increasing the production can increase the income. Especially in view of stainless steel, special steel and seamless pipe products, which are insufficient in Turkey, an increase should have been in export and imports. With plans and strategies to be implemented in this way, both the cost of inputs can be reduced and the output can be increased.Publication Failure Mode and Effect Analysis and Implementation in a Textile Factory(2018-06) Bilişik, Murat Taha; 204668Quality concept has been keeping on its importance by assimilating and developing the customer service orientation. The companies which satisfy customer requests properly and reasonably get more powerful relationship compared with competitors. So, the companies have to provide the best services that customers deserve. With that study which performed in a textile plant, risk priority numbers before and after the improvement is calculated for faults met and for faults which may appear later. To apply Failure Mode and Affect Analysis (FMEA), firstly, a decision team has been established to determine the causes of faults. And then FMEA has been performed to prioritize the critical potential failure modes of the process. Finally, after improvement, some recommended actions regarding the findings were discussedPublication Generation Z and CSR: antecedents of purchasing intention of university students(Kafkas University, 2017) Arıker, Çağla; Toksoy, Andaç; 116171; 107396Objective of this research is to examine hierarchy between three factors that affect purchasing intention of Generation Z for products of companies implementing CSR projects. Since Generation Z will become target market of many companies in the shortrun, studies regarding their purchasing intention, sign of actual purchase, are valuable. Three independent factors include “Perception of Primary Motives”, “General Attitudes”, and “Preconditions to Prefer”. Data was collected through a survey with scales measuring research variables. Four Regression Models were tested to see hierarchical effect of independent variables. The results showed that positive perceptions and attitudes alone aren‟t sufficient to create strong purchasing intention for CSR related products. Determination coefficcient increased as “Preconditions to Prefer”, namely affordable price and good quality products, were entered into the model, respectively. Managers targeting Generation Z are suggested to implement CSR projects but not at the expense of affordable price and expected quality standards.Publication Groupings of Common Financial Ratios in Successful Institutions-An Empiric Sectoral Stock Exchange(2019-10-14) ATASEVEN, BURÇİN; 112000Publication How Do Extra Role Behaviors Affect Sales People Performance An Emprical Examination(2007) Koç, Umut; Torlak, Ömer; PAKSOY, MAHMUT; 3235Customer orientation and organizational citizenship behaviors (OCBs) are two forms of extra-role behaviors that are expected to affect organizational performance positively in the literature. This study aims to examine the relationship between customer orientation of salespeople who work for the pharmaceutical industry and superstore retailing sectors. In addition, their OCBs and the effect of these constructs on salespeople performance are explored. The research uses the scales developed by Stock and Hoyer (2002), MacKenzie, Podsakoff, and Fetter (1993) and Roman and Munuera (2005) to measure customer orientation, OCBs, and performance respectively. The results show a significant relationship between customer orientation and OCBs. OCBs affect salespeople’s performance positively and this behavior differs according to sectors.Publication Improving QFD Performance: FMEA Approach(2006) Şen, Ali; 152444Publication Innovative Strategiesversus Strategic Innovation: Building Creative Strategy with Business TRIZ(2006) Şen, Ali; 152444Publication Knowledge process capabilities and innovation: testing the moderating effects of environmental dynamism and strategic flexibility(Palgrave Macmillan Ltd, Brunel Rd Bldg, Houndmills, Basingstoke Rg21 6Xs, Hants, England, 2017-08) Yozgat, Uğur; Kamaşak, Rifat; Yozgat, Uğur; Yavuz, Meltem; 3952; 108779; 3952; 185395Knowledge process capabilities are highly associated with innovation performance. Namely, firms which develop better capabilities in processing knowledge can innovate better. The Dynamic Capabilities view states that the effects of contextual variables on capability development cannot be ignored. This study seeks to examine the roles of two contextual variables; environmental dynamism and strategic flexibility on developing knowledge process capabilities and innovation performance. In parallel with this aim, a survey was conducted on a sample of 236 firms from different industries in Turkey and a number of hypotheses including the interaction effects of environmental dynamism and strategic flexibility were tested through moderated multiple regression methods. The three-way interaction of knowledge process capabilities, environmental dynamism and strategic flexibility was associated more strongly with innovation performance than the two-way interactions of knowledge process capabilities and environmental dynamism, and knowledge process capabilities and strategic flexibility. Hence, the findings revealed that the effectiveness of knowledge process capabilities on the way of enhancing innovation performance in highly dynamic markets were contingent upon strategic flexibility.
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