Browsing by Author "Kumar Mangla, Sachin"

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Citation - WoS: 237
Citation - Scopus: 303
Circular economy and the policy: A framework for improving the corporate environmental management in supply chains
(WILEY, 2021) Ipek Kazancoglu; Muhittin Sagnak; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kumar Mangla, Sachin; Kazancoglu, Ipek; Sagnak, Muhittin; Kazancoglu, Yigit
The transition to the circular economy (CE) creates value through the closed-loop systems reverse logistics product life cycle management and clean production in terms of corporate environmental management. During this transition process the organization faces many barriers such as financial organizational technology-based social policy-related market-based and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings lack of legislation for efficient CE (C4) lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17) and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards improving communication among stakeholders the government's perception of CE and current linear economy cooperation with nongovernmental organization (NGOs) and civil actions the vision of government towards circular principles the circular public procurement the local governments in circular policymaking and awareness of bureaucracy and government officials.
Citation - WoS: 38
Citation - Scopus: 50
Detecting fake reviews through topic modelling
(ELSEVIER SCIENCE INC, 2022) Sule Ozturk Birim; Ipek Kazancoglu; Sachin Kumar Mangla; Aysun Kahraman; Satish Kumar; Yigit Kazancoglu; Kumar Mangla, Sachin; Kazancoglu, Ipek; Kazancoglu, Yigit; Birim, Sule Ozturk; Kumar, Satish; Mangla, Sachin Kumar; Kahraman, Aysun
Against the uncertainty caused by the information overload in the online world consumers can benefit greatly by reading online product reviews before making their online purchases. However some of the reviews are written deceptively to manipulate purchasing decisions. The purpose of present study is to determine which feature combination is most effective in fake review detection among the features of sentiment scores topic distributions cluster distributions and bag of words. In this study additional feature combinations to a sentiment analysis are searched to examine the critical problem of fake reviews made to influence the decision-making process using review from amazon.com dataset. Results of the study points that behavior-related features play an important role in fake review classifications when jointly used with text-related features. Verified purchase is the only behavior related feature used comparatively with other text-related features.
Editorial for the special issue on circular economy and sustainable business performance management in the era of digitalization
(EMERALD GROUP PUBLISHING LTD, 2022) Yigit Kazancoglu; Sachin Kumar Mangla; Malin Song; Guo Li; Flavio Hourneaux Junior; Song, Malin; Li, Guo; Kumar Mangla, Sachin; Hourneaux Junior, Flavio; Kazancoglu, Yigit
Citation - WoS: 67
Citation - Scopus: 86
Exploring the green waste management problem in food supply chains: A circular economy context
(Elsevier Ltd, 2022) Shristi Kharola; Mangey Ram; Sachin Kumar Kumar Mangla; Nupur Goyal; Om Prakash Nautiyal; Durgesh Pant; Yigit Kazancoglu; Kharola, Shristi; Pant, Durgesh; Kumar Mangla, Sachin; Nautiyal, O.P.; Kazancoglu, Yigit; Ram, Mangey; Goyal, Nupur; Mangla, Sachin Kumar
Food waste management is a growing environmental and economic issue for a developing country like India. This exploratory paper aims to prioritize key practices as “criteria” for food supply chains that lead to food waste reduction to ensure green waste management. Twenty-five criteria from the existing literature and expert inputs were assessed to resolve food waste reduction issues in food supply chains especially in the agricultural sectors. The study identifies and ranks the intensities of each of the listed criteria. In the study the Best-Worst Method a multi-criteria decision-making approach is applied. According to the findings waste prevention at the earlier stages of food supply chains is given more priority compared to food waste minimization and treatment at the later stages. Hence the study concludes “skill and training” as the highest ranked criteria followed by “protection and infrastructure.” Further the study infers that understanding the individual intensities of criteria within a food supply chain can affect waste generation at each level having a significant impact on waste reduction. The data in this research was evaluated in the Indian context. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 51
Citation - Scopus: 60
Impact of information hiding on circular food supply chains in business-to-business context
(ELSEVIER SCIENCE INC, 2021) Sachin Kumar Mangla; Gulmus Boruhan; Pervin Ersoy; Yigit Kazancoglu; Malin Song; Song, Malin; Börühan, Gülmüş; Kumar Mangla, Sachin; Ersoy, Pervin; Kazancoglu, Yigit; Mangla, Sachin Kumar
This study has analyzed food supply chains from the circular economy viewpoint with a focus on knowledge hiding. In this paper we examine the practice of hiding knowledge among stakeholders in which dimension what this knowledge is and whether there are differences among specific groups of stakeholders. This is applied to distributors producers consumers retailers suppliers and farmers working within the meat industry in Turkey. It shows how information hiding affects the traceability of food supply chains and circularity in the meat industry. Three different theories have been examined in this paper. Stakeholder theory helps to analyze traceability of food supply chains among stakeholders, the theory of industrial symbiosis aims to achieve an efficient circular food supply chain through 9R (refuse rethink reduce reuse repair refurbish remanufacture repurpose recycle recover) strategies by adopting traceability, the information theory is a key enabler to coordinate traceability from farm to fork to support a circular food supply chain. By using the theoretical lens this paper sets out proposals for policymakers and managers in food supply chains to ensure traceability and transparency to achieve circular economy. Although some prior studies address knowledge hiding information hiding hasn't been examined with traceability and transparency dimensions in Circular Food Supply Chain (CFSC) in B2B business. This study attempts to fill this gap in the literature improve theoretical understanding with our proposed framework and validating the impact of information hiding and reveal where knowledge is mostly hidden in terms of circular economy stakeholders and 9Rs in the meat industry. A proposed framework for managers and policymakers based on a circular economy can bring social economic and environmental benefits for the red meat industry in Turkey. Additionally it offers a framework and recommendations for other countries and industries for possible adoption.
Citation - WoS: 65
Citation - Scopus: 78
Impact of information technology and knowledge sharing on circular food supply chains for green business growth
(WILEY, 2022) Pervin Ersoy; Gulmus Boruhan; Sachin Kumar Mangla; Jorge Hernandez Hormazabal; Yigit Kazancoglu; Cisem Lafci; Boruhan, Gulmus; Hormazabal, Jorge Hernandez; Kumar Mangla, Sachin; Kazancoglu, Yigit; Lafci, Cisem; Ersoy, Pervin; Mangla, Sachin Kumar
Rapid and dynamic changes in environment technologies consumer behavior policy making and climate are putting extra pressure to food supply chain especially in terms of efficiently manage food security food surplus food loss and waste. These changes directly affect food supply chain negatively. Thus transition into more circular approach for green business growth in food supply chains is a necessity. One way to reduce this negativity is to ensure the share of information along the chain. With this context sharing information and knowledge among the food supply chain can facilitate practices from a circularity and green perspectives. Hence this research focuses on understanding and revealing knowledge-sharing networks challenges barriers and benefits across every food supply chain layer presenting tangible contributions to improve traceability in circularity perspectives with refuse rethink reduce reuse repair refurbish remanufacture repurpose recycle and recover challenges. Therefore and to provide a green business growth this study examines the practice of knowledge sharing among real-life industry food stakeholders in the meat sector regarding their dimensions what type of knowledge is shared and whether there are differences among specific groups of food stakeholders for the knowledge sharing. The aim of this research is to generate a validated conceptual framework to reveal how information technologies contributes to a more efficient knowledge sharing practices hence to impact the enhancement of efficient circular food supply chains for green business growth.
Citation - WoS: 41
Citation - Scopus: 53
Operational excellence in a green supply chain for environmental management: A case study
(WILEY, 2020) Yigit Kazancoglu; Muhittin Sagnak; Yasanur Kayikci; Sachin Kumar Mangla; Kayikci, Yasanur; Kumar Mangla, Sachin; Kazancoglu, Yigit; Sagnak, Muhittin; Mangla, Sachin Kumar
Nowadays organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context given that becoming green in the operational side of activities is essential the performance assessment of operational activities also requires a holistic view to be taken. In this paper an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria namely quality management efficiency management green production/manufacturing eco-packaging and green design. First the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then the overall operational performance score was found by a weighted scoring method. Finally both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.
Citation - WoS: 14
Citation - Scopus: 17
Predicting cost of defects for segmented products and customers using ensemble learning
(Elsevier Ltd, 2022) Gorkem Sariyer; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Lei Xu; Ceren Ocal Tasar; Tasar, Ceren Ocal; Kumar Mangla, Sachin; Kazancoglu, Yigit; Sariyer, Gorkem; Xu, Lei; Mangla, Sachin Kumar; Ocal Tasar, Ceren
Due to technological advances Big Data Analytics (BDA) has become increasingly important over the last few years. This has led companies to evolve BDA capabilities (BDAC) to manage operations and make better decisions. In this study we propose a model Clustering Based Classifier Ensemble Method for Cost of Defect Prediction (CBCEM-CoD) incorporating clustering classification prediction and learning techniques of BDA for quality management in the manufacturing industry. CBCEM-CoD (1) is fact-driven as it is based on a fundamental problem of the manufacturing industry (2) integrates different BDA techniques in a specific way when an output of one technique is used as an input of another and (3) extracts insights from real-world big data and directly offers many implications for practice. In the first stage of the CBCEM-CoD k-means and agglomerative clustering techniques are used comparatively for segmenting customers and products. CoD values of each product and customer segment are predicted using ensemble learning techniques in the second stage. The model is tested using a case data set from the kitchenware industry. As a result 53 and 720 different types of customers and products in the train data set are segmented in optimal numbers of 4 and 20 clusters. Around 89% accuracy is obtained for CoD predictions in the test data set. These results have substantial business value since they inform managers how to prioritize their focus on specific products and customer types to reduce the cost of a defect. We also highlight the importance of developing BDAC in dynamically changing environments to create a competitive advantage. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 22
Citation - Scopus: 29
Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies
(Elsevier Inc., 2024) Gorkem Sariyer; Sachin Kumar Kumar Mangla; Soumyadeb Chowdhury; Mert Erkan Sozen; Yigit Kazancoglu; Erkan Sozen, Mert; Kumar Mangla, Sachin; Kazancoglu, Yigit; Sariyer, Gorkem; Sozen, Mert Erkan; Chowdhury, Soumyadeb; Mangla, Sachin Kumar
Given the growing importance of organizations’ environmental social and governance (ESG) performance studies employing AI-based techniques to generate insights from ESG data for investors and managers are limited. To bridge this gap this study proposes an AI-based multi-stage ESG performance prediction system consolidating clustering for identifying patterns within ESG data association rule mining for uncovering meaningful relationships deep learning for predictive accuracy and prescriptive analytics for actionable insights. This study is grounded in the big data analytics capability view that has emerged from the dynamic capabilities theory. The model is validated using an ESG dataset of 470 Fortune listed 500 companies obtained from the Refinitiv database. The model offers practical guidance for decision-makers to maintain or enhance their ESG scores crucial in a business landscape where ESG metrics significantly affect investor choices and public image. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 137
Citation - Scopus: 169
Role of flexibility- agility and responsiveness for sustainable supply chain resilience during COVID-19
(ELSEVIER SCI LTD, 2022) Ipek Kazancoglu; Melisa Ozbiltekin-Pala; Sachin Kumar Mangla; Yigit Kazancoglu; Fauzia Jabeen; Ozbiltekin-Pala, Melisa; Jabeen, Fauzia; Kumar Mangla, Sachin; Kazancoglu, Ipek; Mangla, Sachin Kumar; Kazancoglu, Yigit
Supply chains are gradually transforming into more global structures. To ensure sustainability and resilience in face of the problems that arise in globalizing supply chains it is becoming an important issue today, a supply chain must be flexible agile and responsive. Therefore the aim of the study is to focus on resilience in sustainable global supply chains (GSC) to avoid disruptions caused by pandemics such as COVID-19, it is also conducted research on responsiveness of sustainable global supply chains during COVID-19. In this study dynamic capability perspective and contingency theory are used to conceptualize theoretical models for COVID-19. Moreover a partial least squares (PLS) model is used to analyse the research hypotheses with 200 responses collected from companies which have complex supply chain structures. As a novel result the relationship between flexibility agility and responsiveness of global supply chain is revealed. Supply chain agility is found to be directly affected by supply chain flexibility. Moreover supply chain flexibility and supply chain agility directly affect the responsiveness of the global supply chain. In addition the agility of the supply chain acts as a partial mediator variable in the effect of supply chain flexibility on responsiveness.