Selim Zaim

Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.

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Selim Zaim

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Multivariate Data Analysis, Data Analytics, Supply Chain Management, Operations Management

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Listeleniyor 1 - 10 / 12

Big data analytics capabilities and firm performance: An integrated MCDM approach
(Elsevier, 2020) Yasmin, Mariam; Tatoğlu, Ekrem; Kılıç, Hüseyin Selçuk; Zaim, Selim; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making trial and evolution laboratory (IF-DEMATEL), analytic network process (ANP), and simple additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the firm performance. The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and human resource capabilities, respectively. The SAW results indicate an association between BDA capabilities and firm performance. Moreover, BDA capabilities are more strongly related to operational performance than to market performance.
Business analytics and firm performance: The mediating role of business process performance
(Elsevier, 2019) Aydıner, Arafat Salih; Tatoğlu, Ekrem; Bayraktar, Erkan; Zaim, Selim; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Due to the rapidly increasing popularity of business analytics (BA), investigation of the antecedents/determinants of the adoption of BA and the subsequent impact of the same to the firm performance has become an important research topic. Drawing on the fundamentals of the resource-based view (RBV), this study proposes a model that examines the effects of the BA adoption on business process performance (BPER) and the mediating role that BPER plays in the relationship between the adoption of BA and firm performance (FP). Based on the data collected from 204 medium- to high-level business executives in various industries, the results of this empirical study indicate that the adoption of BA positively influences BPER. There is also positive relationship between BPER and FP. Finally, the results show that BPER fully mediates the relationship between BA adoption and FP.
Toward a holistic understanding of sustainability in corporations: Resource-based view of sustainable supply chain management
(Emerald Publishing, 2021) Ayaz Arda, Özlem; Montabon, Frank; Tatoğlu, Ekrem; Gölgeci, İsmail; Zaim, Selim; Tatoğlu, Ekrem; Zaim, Selim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Purpose While the three interconnected aspects of the triple bottom line -environmental, social and economic sustainability- are well-established, these aspects have insufficiently been addressed together in the supply chain management literature. Thus, the purpose of this paper is to examine whether environmental and social performance mediates the relationship between environmental management practices and operational performance and whether operational performance mediates the relationship between environmental and social performance and financial performance. Design/methodology/approach Drawing on a data set of 208 firms operating in a wide range of manufacturing industries, the authors test the hypotheses using structural equation modeling. The research context for the study is Turkey, an important emerging market and one of the nexuses of European and Asian supply chains. Findings The findings indicate that all three aspects of sustainability have mutually supportive relationships as demonstrated by positive mediating mechanisms between environmental management practices and operational performance and between environmental and social performance and financial performance. The mediation results correspond with the resource-based view. They indicate that building up capabilities and resources in the form of environmental management practices supports three areas of the triple bottom line and boosts firms' financial performance. Originality/value Research on sustainability is well-established, yet supply chain management research has, thus, far paid insufficient attention to all three aspects. This paper, thus, sets itself apart by explicitly considering all three aspects of sustainability and contributes to understanding how they relate to one another.
Unlocking the relationships between strategic planning, leadership and technology transfer competence: The mediating role of strategic quality management
(Emerald Publishing, 2022) Sönmeztürk Bolatan, Gülin İdil; Gölgeci, İsmail; Arslan, Ahmad; Tatoğlu, Ekrem; Zaim, Selim; Gözlü, Sıtkı; Tatoğlu, Ekrem; Zaim, Selim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Purpose This study aims to investigate the relationships between firms' strategic planning (SP), leadership and technology transfer competence (TTC) by specifically incorporating the mediating role of strategic quality management (SQM). Design/methodology/approach This study performs structural equation modeling using AMOS on survey data collected from 200 Turkish firms operating in multiple industries and sectors. Findings This study finds that leadership in Turkish firms operating in multiple sectors is positively associated with SQM. This study further finds that SQM positively influences Turkish firms' TTC and mediates the roles of SP and leadership in TTC. Research limitations/implications A key research implication from this study relates to the mediating role of SQM in TTC in an emerging economy context. This study highlights that SP and leadership can play an essential role in TTC through the mediating mechanism of SQM. Consequently, SQM emerges as a crucial linking pin in conveying the impact of quality management practices on technology transfer in emerging markets. Practical implications An essential managerial implication of this study relates to the critical roles of leadership, SP and SQM in TTC. For the managers of firms operating in a relatively uncertain emerging context such as Turkey, it is essential to adopt a supportive and empowering leadership style, where open communication and innovative activities are viewed positively and SQM is adopted holistically. Also, SP should be streamlined throughout the firm and followed by SQM to support TTC. Originality/value This paper links the technology (and knowledge) management and the strategy and leadership literature streams by focusing on the mechanisms of technology transfer and delving into the linkages between SQM, leadership, SP and TTC. It specifically presents SP and leadership as precursors to SQM in their joint influence on TTC. Accordingly, this research bridges technology, strategy and leadership research and provides a broader picture of technology transfer that encompasses the joint role of different processes in firms' TTC.
How does external knowledge sourcing affect business performance in large-scale firms? The mediating role of open technology strategies
(IEEE, 2021) Avunduk, Zehra Binnur; Kazan, Halim; Tatoğlu, Ekrem; Zaim, Selim; Tatoğlu, Ekrem; Zaim, Selim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This article examines the mediating impact of open technology strategies (OTS) on the link between three types of external knowledge sources (i.e., scientific, institutional, and indirect partners) and business performance (BP). Structural equation modeling is conducted in order to test the research model based on a survey of 241 companies drawn from the database of Turkey’s largest 500 manufacturing companies. The study’s findings indicate that the implementation of OTS mediates the relationships between external knowledge sourcing (EKS) from scientific partners and indirect partners with BP. However, no support is found for the mediation effect of OTS on the link between EKS from institutional partners and BP. This article extends the innovation literature by empirically investigating open innovation in large-scale companies in emerging country settings.
An integrated approach for lean production using simulation and data envelopment analysis
(Springer, 2021) Buyuksaatci Kiris, Sinem; Eryarsoy, Enes; Zaim, Selim; Delen, Dursun; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
According to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting objectives. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The proposed framework can help identify the most efficient solution alternative by (i) considering the most common lean production methods for assembly line balancing, such as single minute exchange of dies (SMED) and multi-machine set-up reduction (MMSUR), (ii) creating and simulating various alternative assembly line configuration options via discrete-event simulation modeling, and (iii) formulating and applying DEA to identify the best alternative assembly system configuration for the multi-objective decision making. In this study, we demonstrate the viability and superiority of the proposed framework with an application case on an automotive spare parts production system. The results show that the suggested framework substantially improves the existing system by increasing efficiency while concurrently decreasing work-in-process (WIP).
Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance
(Elsevier, 2019) Aydıner, Arafat Salih; Tatoğlu, Ekrem; Bayraktar, Erkan; Zaim, Selim; Tatoğlu, Ekrem; Zaim, Selim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This study contributes to the extant literature on information management by investigating the interrelationships between information systems (IS)-related capabilities and their effects on firm performance. Using the resource-based view (RBV), a set of hypotheses is formulated to examine these links, considering the role that may be played by decision-making performance and business-process performance as mediating variables. Structural equation modeling (SEM) has been applied to a sample of 204 firms in Turkey. The test results obtained confirm the proposed serially mediating model according to which decision-making performance and business-process performance play a critical mediating role in the human resource and administrative-related IS capabilities, and firm-performance relationships. No support, however, has been found concerning the serial mediation effect between infrastructure-related IS capabilities and firm performance.
Assessing the supply chain performance: A causal analysis
(Springer US, 2019) Bayraktar, Erkan; Sarı, Kazım; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Measuring the performance-related factors of a unit within a supply-chain is a challenging problem, mainly because of the complex interactions among the members governed by the supply chain strategy employed. Synergistic use of discrete-event simulation and structural equation modeling allows researchers and practitioners to analyze causal relationships between order-fulfillment characteristics of a supply-chain and retailers’ performance metrics. In this study, we model, simulate, and analyze a two-level supply-chain with seasonal linear demand, and using the information therein, develop a causal model to measure the links/relationships among the order-fulfillment factors and the retailer’s performance. According to the findings, of all the order-fulfillment characteristics of a supply-chain, the forecast inaccuracy was found to be the most important in mitigating the bullwhip effect. Concerning the total inventory cost and fill-rate as performance indicators of retailers, the desired service level had the highest priority, followed by the lead-time and forecast inaccuracy, respectively. To reduce the total inventory cost, the bullwhip effect seems to have the lowest priority for the retailers, as it does not appear to have a significant impact on the fill rate. Although seasonality (to some extent) influences the retailer’s performance, it does not seem to have a significant impact on the ranking of the factors affecting retailers’ supply-chain performance; except for the case where the backorder cost is overestimated.
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
(Elsevier, 2019) Beyca, Ömer Faruk; Ervural, Beyzanur Çayır; Tatoğlu, Ekrem; Özuyar, Pınar Gökçin; Zaim, Selim; Tatoğlu, Ekrem; Zaim, Selim; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Commensurate with unprecedented increases in energy demand, awell-constructed forecastingmodel is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the dynamic structure of the country. In this study, we employ three alternative popular machine learning tools for rigorous projection of natural gas consumption in the province of Istanbul, Turkey's largest natural gas-consuming mega-city. These tools include multiple linear regression (MLR), an artificial neural network approach (ANN) and support vector regression (SVR). The results indicate that the SVR is much superior to ANN technique, providing more reliable and accurate results in terms of lower prediction errors for time series forecasting of natural gas consumption. This study could well serve a useful benchmarking study for many emerging countries due to the data structure, consumption frequency, and consumption behavior of consumers in various time-periods.
An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey's energy planning
(Elsevier, 2018) Ervural, Beyzanur Çayır; Zaim, Selim; Demirel, Ömer Fahrettin; Aydın, Zeynep; Delen, Dursun; Zaim, Selim; Demirel, Ömer Fahrettin; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü
Energy planning involves a perpetual process of reevaluating alternative energy strategies. Authorities responsible for energy planning and management have to adjust their strategies according to new and improved alternative solutions based on the sustainability criteria. In this study, we propose an integrated hybrid methodology for the analysis of Turkey’s energy sector using Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, Analytic Network Process (ANP) process, and weighted fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to formulate and holistically analyze the energy strategy alternatives and priorities. The methodology proposed in this study allowed identifying the relevant criteria and sub-criteria using a SWOT analysis. Then, ANP approach, which is one of the popular multi-criteria decision making (MCDM) methods, is employed to determine the weights of each SWOT factors and sub-factors. Finally, fuzzy TOPSIS methodology is conducted to prioritize alternative energy strategies. We discuss the obtained results for the development of long-range alternative energy strategies. The results showed that turning the country into an energy hub and an energy terminal by effectively using the geo-strategic position within the framework of the regional cooperation is the most important priority. On the other hand, using the nuclear energy technologies within the energy supply strategies found to be the least favored priority.

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