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Öğe Convergence in Islamic financial development: Evidence from Islamic countries using the Fourier panel KPSS stationarity test(Elsevier, 2023) Hassan, M. Kabir; Kazak, Hasan; Adiguzel, Ugur; Gunduz, Mehmet Akif; Akcan, Ahmet TayfurThis study investigates whether there is convergence among Islamic countries with respect to the relationship between growth in Islamic financial markets and economic growth in those countries as measured by Gross Domestic Product. We use data from 2013 to 2021 for the nine Islamic countries with the highest levels of activity in Islamic finance. We employ the Fourier Panel KPSS Stationarity Test to examine the convergence hypothesis for four indicators of Islamic financial markets activity: Islamic Financial Asset Volume (IFAV), Islamic Banking Asset Volume, Sukuk Outstanding Volume, and Takaful Contribution Volume. Our analysis reveals that only IFAV exhibits convergence, while the other indicators do not. We also evaluate country-specific convergences within each indicator and find different results. Our study provides essential guiding findings regarding the significance of Islamic finance growth for countries and their prospects.Copyright (c) 2023 Borsa Istanbul Anonim sirketi. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Öğe Matching functions of supply chain management with smart and sustainable Tools: A novel hybrid BWM-QFD based method(Pergamon-Elsevier Science Ltd, 2021) Gunduz, Mehmet Akif; Demir, Sercan; Paksoy, TuranIn recent years, there is a noticeable increase in interest in supply chain smartness and sustainability since a growing number of companies are adopting smart technologies and sustainable practices in the functions of supply chain management. Therefore, scholars and practitioners seek to make sense of how this phenomenon can be addressed concerning companies' maturity level of supply chain smartness and sustainability. This paper proposes a novel hybrid methodology combining the Best-Worst Method (BWM) and Quality Function Deployment (QFD) to assess the level of maturity for supply chain smartness and sustainability by weighting the functions of supply chain management. A twin-QFD technique is used to obtain a conceptual design to determine the relationship between the functions of supply chain smartness tools and sustainability indicators to assess the level of maturity, whereas the BWM is used to determine the weights of the functions of supply chain management. A case study in the automotive manufacturing industry is applied to demonstrate the applicability of the proposed approach. The findings disclose the prominent smart technologies (simulation, big data analytics, cloud computing) and sustainability indicators (costs, lead time, and damage and loss) in integrating Industry 4.0 technologies and sustainable supply chain practices. Findings also suggest a guideline to compare the current and targeted levels of smartness and sustainability maturity. This study provides insights for scholars and practitioners and contributes to the body of knowledge by evaluating companies' maturity of digital transformation and sustainable practices in the supply chain functions.Öğe Overall competitiveness efficiency: A quantitative approach to the five forces model(Pergamon-Elsevier Science Ltd, 2023) Paksoy, Turan; Gunduz, Mehmet Akif; Demir, SercanThis study proposes Porter's five forces model-based technique that measures a company's competitiveness through objective indicators and metrics. We introduce a novel model, the overall competitiveness efficiency, which points out that a company's competitiveness level incorporates capabilities matching five environmental forces. The five forces are: bargaining power of suppliers, bargaining power of buyers, threats of substitutes, threats of new entrants, and rivalry among existing competitors. The overall competitiveness efficiency model also consists of five dimensions: bargaining power against suppliers, bargaining power against buyers, competitive power against substitutes, competitive power against new entrants, and competitive power against competitors. We develop three quantifiable indicators for each dimension and operationalize these indicators with objective metrics. To show the models' applicability, we conduct a case study in a hydraulics press industry company by collecting quantitative data from document analysis, secondary data analysis, semi-structured in-terviews, and observations. Our model gives managers insight into improving the company's competitiveness by focusing on weaknesses and capitalizing on the strengths through measurable competitiveness indicators and metrics. The models' implications guide managers in making strategic decisions on the competitive position in the market.Öğe Readiness and Maturity of Smart and Sustainable Supply Chains: A Model Proposal(Taylor & Francis Ltd, 2023) Demir, Sercan; Gunduz, Mehmet Akif; Kayikci, Yasanur; Paksoy, TuranMany companies embrace Industry 4.0 technologies to enable operational sustainability against increasing climate change effects, decreasing natural resources, and raising consumer awareness of environmental issues. Even though readiness and maturity assessment of smartness and sustainability concepts are nested, no study simultaneously focuses on these concepts. As pioneering research, we propose a novel model titled Smart and Sustainable Supply chain Readiness and Maturity model (S3RM) and validate it by conducting a case study in the automotive industry. We design our model upon the triple-bottom-line (TBL) approach consisting of smartness and sustainability dime5nsions. Our study introduces the TBL of smartness covering availability, integrity, and adaptability sub-dimension. TBL of sustainability includes social, environmental, and economic sub-dimensions. The proposed model calculates the Smart and Sustainable Readiness and Maturity Index by averaging sustainability scores' summation and smartness scores' multiplication. Each sub-dimension consists of items measured by a readiness and maturity scale. The findings suggest how smartness and sustainability items create strengths, weaknesses, opportunities, and threats for the supply chain operations. Our model provides managerial implications in assessing the readiness and maturity of Industry 4.0 tools and sustainability indicators. This study offers a road map to managers on smart and sustainable supply chains' defined target areas.