Saeidi, Parvaneh
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Saeidi, Parvaneh
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Quito
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parvanehsaeidi@uti.edu.ec
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Scopus Author ID
55252035700

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Evaluation of circular supply chains barriers in the era of Industry 4.0 transition using an extended decision-making approach

2022 , Shang, C. , Saeidi, Parvaneh , Goh, C.F.

Purpose: The poor leadership style is a key obstacle to the effective implementation of Industry 4.0 technologies. To successfully apply the Industry 4.0 technologies, which can enhance the sustainability of firms, senior management needs to be inspiring and transformational. On the other hand, numerous factors can hinder the Industry 4.0 transition and “Circular Supply Chain (CSC)” transformation. Therefore, the main purpose of this study is to evaluate the related barriers of CSCs in the era of Industry 4.0 transition. Design/methodology/approach: The current study developed an innovative decision-making approach with the help of the “Combined Compromise Solution (CoCoSo)” method and “Criteria Importance Through Intercriteria Correlation (CRITIC)” method on the “q-Rung Orthopair Fuzzy Sets (q-ROFSs).” CRITIC in this combined method was used to predict the importance or weighting degrees of the CSCs barriers in the age of Industry 4.0 transition. Findings: The results of this study found that the absence of knowledge about the Industry 4.0 technologies and circular approaches was the first barrier followed by the problems associated with data security in relationship management in circular flows, the deficiency of knowledge regarding the data management among stakeholders and the lack of awareness about the potential benefits of autonomous systems in labor-oriented “End-of-Life (EOL)” activities for CSCs in the era of Industry 4.0 transition. Research limitations/implications: A limitation may be that despite the generalizability of the proposed framework, the results may differ when it is implemented in different sectors. By emphasizing the obstacles to sustainable operations of supply chains (SCs) in the context of circular economy (CE) and Industry 4.0, researchers working in the same domain may be encouraged to find ways to remove such obstacles in different settings. As suggested in this study, the priority of various barriers helps researchers suggest effective strategies for the sustainable development of companies within the current dynamic business atmosphere. Practical implications: The findings of this paper can aid industry practitioners in fixing their attention on the digitization or automation of their systems in the context of sustainability or resource circularity. Note that within the current context of CE, one of the crucial issues is how to conserve the existing resources; the answer to this question can save the environment. Originality/value: The current paper proposed a new multi-criteria decision-making method using q-ROFSs to analyze, rank and evaluate the CSC barriers in the age of Industry 4.0 transition. To this end, a new decision-making approach with the help of CRITIC and CoCoSo methods on q-ROFSs called q-ROF-CRITIC-CoCoSo was introduced to evaluate the CSCs barriers in the era of Industry 4.0 transition. © 2021, Emerald Publishing Limited.

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The influence of corporate social responsibility on firm reputation with the moderating effect of personal employees' ethical value

2022 , Saeidi S.P. , Saeidi, Parvaneh , Alvarez Zamora N.F. , Endara H.V.

This study attempts to investigate the conditional effects of the ethical values of employees and corporate social responsibility (CSR), as two possible influencing variables on a firm's reputation. Moreover, this research determines the moderating effect of ethical values of employees on the relationship of CSR with firm reputation. AMOS is used as a visual program in structural equation modelling in order to analyse and test the hypotheses suggested in this paper. Data were collected from 301 SMEs in industrial and service sectors, in Malaysia, using survey method through structured questionnaires with five-point Likert scales. According to the results, hypothesis of moderating effect of personal employees' ethical values (PEEV) on CSR and firm reputation in the industrial sector was rejected; whereas a conditional moderating effect of ethical values of employees on CSR and firm reputation was reported in the service sector. This shows that when companies rely more on human resources, a higher level of ethical values among employees leads to a higher level of reputation for the firm in society, even if CSR is at a low level at those companies. Copyright © 2022 Inderscience Enterprises Ltd.

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Retraction Note: A New Extended VIKOR Approach Using q-Rung Orthopair Fuzzy Sets for Sustainable Enterprise Risk Management Assessment in Manufacturing Small and Medium-Sized Enterprises

2025 , Sun Cheng , Sun Jianfu , Melfi Alrasheedi , Saeidi, Parvaneh , Arunodaya Raj Mishra , Pratibha Rani

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation’s findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors disagree with this retraction.

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How does organizational leadership contribute to the firm performance through social responsibility strategies?

2021 , Saeidi, Parvaneh , Robles L.A.A. , Saeidi S.P. , Zamora M.I.V.

Despite the wide-ranging studies on Corporate Social Responsibility (CSR), firm performance, and Organizational Leadership (OL), there have been only a few studies examining the inter-relationship between them. Accordingly, this investigation has tried to investigate how OL contributes to the firm's performance through the CSR strategies. It has an internal orientation to CSR motivations compared to the existing studies that mostly considered the external factors in implementing of CSR in firms; also, it has a comprehensive view toward the firm's performance by considering both financial and non-financial aspects of performance. It could be said that this study has tried to answer the question of whether or not CSR can be as a mediator between the OL and firm performance. Data collection was performed from 285 manufacturing and consumer products firms located in Malaysia during the four-month period of June–September of 2020. AMOS Structural Equation Modeling (AMOS-SEM) method was applied to analyze the model. Following the Baron and Kenny approach in testing the hypotheses, it was found that the relationships of OL and financial performance, as well as OL and non-financial performance were partially mediated by CSR. In addition, the non-financial performance was found as a full mediator between the OL and financial performance. Further, the results revealed two full mediated relationships in this way that non-financial performance was a full mediator variable between CSR and financial performance, as well as CSR and non-financial performance which were found as two multiple full mediators between OL and financial performance. The results help Malaysian managers to understand their current status, capabilities, strong points and weaknesses in leadership regarding to CSR. Moreover, due to the positive effects of CSR on both firm's financial and non-financial performance, CSR is recommended to be integrated in leadership style and the organizational strategies in order to having better performance. © 2021

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Assessment of the agriculture supply chain risks for investments of agricultural small and medium-sized enterprises (SMEs) using the decision support model

2023 , Zhai T. , Wang D. , Zhang Q. , Saeidi, Parvaneh , Raj Mishra A.

A key challenge in responding to the emerging challenges in agri-food supply chains is encouraging continued new investment. This is related to the recognition that agricultural production is often a lengthy process requiring ongoing investments that may not produce expected returns for a prolonged period, thereby being highly sensitive to market risks. Agricultural productions are generally susceptible to different serious risks such as crop diseases, weather conditions, and pest infections. Many practitioners in this domain, particularly small and medium-sized enterprises (SMEs), have shifted toward digitalization to address such problems. To help with this situation, the current paper develops an integrated decision-making framework, with the Pythagorean fuzzy sets (PFSs), the method for removal effects of criteria (MEREC), the rank-sum (RS) and the gained and Lost dominance score (GLDS) termed as PF-MEREC-RS-GLDS approach. In this approach, the PF-MEREC-RS method is applied to compute the subjective and objective weights of the main risks to assess the agriculture supply chain for investments of SMEs, and the PF-GLDS model is used to assess the preferences of enterprises over different the main risks to assess of the agriculture supply chain for investments of SMEs. An empirical case study is taken to evaluate the main risks to assess the agriculture supply chain for SME investments. Also, comparison and sensitivity investigation are made to show the superiority of the developed framework. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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Consumer Behavior in Electronic Word of Mouth: A Bibliometric Approach

2025 , Cruz Cárdenas, Jorge , Saeidi, Parvaneh , Ekaterina Zabelina , Olga Deyneka , Ramos Galarza, Carlos , Andrés Palacio-Fierro

Electronic word of mouth (eWOM) is a consumer behavior that involves the dissemination of communications about brands, products, and companies with clear positive or negative valence. eWOM is attracting great attention from academics and practitioners, which is reflected in the growing number of publications on the subject. Thus, the present study aims to contribute to the organization and description of this knowledge through the use of bibliometric techniques. This study analyzes a documentary corpus of 2,331 eWOM documents existing in the Scopus database. The descriptive analysis of this body of documents confirms a rapid growth in the pace of publication. The data further highlight eWOM as a multidisciplinary academic field with a center of gravity in business, management, and accounting. However, the analysis shows a great predominance of institutions and researchers from developed and emerging countries. The analysis of the co-occurrence of terms leads to the identification of three thematic clusters: (1) search and use of eWOM by the consumer, (2) the consumer’s experience and satisfaction in the consumption of services, and (3) the consumer behavior in the generation of eWOM. The analysis of the overlay visualization of terms allows us to verify an evolution in research interest from the orientation to lay the theoretical foundations of eWOM to the current interest in delving into search behavior and the use of eWOM in decision making. Finally, the present study formulates the theoretical and practical implications of these findings.

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Effect of enterprise risk management on firms’ outcomes with the moderating effect of knowledge management

2023 , Saeidi, Parvaneh , Saeidi S.P. , Galarraga Carvajal, Mercedes , Villacrés Endara H. , Armijos L.

Purpose: This study aims to test the effects of enterprise risk management (ERM) on firms’ outcomes and the moderating role of knowledge management (KM) on ERM–firms’ outcomes relationship. Design/methodology/approach: Data were collected via a questionnaire survey among public listed companies on the principal stock exchange market in Malaysia. A total of 124 questionnaires were received by mail questionnaire. The results were examined through structural equation modelling and partial least squares. Findings: The outcomes specified that ERM has a positive and noteworthy influence on firms’ outcomes, and KM has a moderating influence on the correlation among ERM and firms’ outcomes. Research limitations/implications: The qualities, procedures and laws of the Malaysian corporations chosen as the sample firms, as well as their regulations, may not be representative of all other countries. Moreover, this study considered only one variable as a moderator, while there are many variables that different studies can consider as moderator or mediators. Practical implications: The results of this research imply that employees’ awareness and knowledge of events, opportunities and risk, along with their engagement in the institute’s strategy, are critical for risk management and controlling. For the managers, the results of this research can be helpful to their businesses by identifying the effective KM capability that may enhance their positive outcomes. Managers and organizations can use KM as an instrument to increase ERM effect on firms’ outcomes. Social implications: KM and ERM are both significant intangible resources that are hard to imitate and are uniquely specified programs, which are important contributors to firm success in the long run. Moreover, the contingency theory of ERM was proved through the results of this study as it was identified in the public companies, that implementation of ERM as a strategic management practice, by organizations along with an effective KM may enhance the achievement of objectives and outcomes. Originality/value: This study helps to measure ERM comprehensively and how intangible assets such as KM can affect the comprehensive risk management process and its effectiveness. © 2023, Emerald Publishing Limited.

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Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system

2023 , Su D. , Zhang L. , Peng H. , Saeidi, Parvaneh , Tirkolaee E.B.

Since 2008, many academics have increasingly paid attention to blockchain technology from different perspectives. In general, researchers desire to achieve global blockchain systems within a sustainable manufacturing domain; however, a number of technical challenges have come to exist in the recent decade, for instance, consensus algorithms and computing paradigms that can meet the privacy protection requirements of manufacturing systems. Therefore, an integrated decision-making framework called Pythagorean fuzzy-entropy-rank sum-Combined Compromise Solution (PF-entropy-RS-CoCoSo) is developed in this study, including two main phases. In the first phase, the PF-entropy-RS method is applied to obtain the subjective and objective weights of criteria to evaluate the technical challenges of transforming blockchain technology for a sustainable manufacturing paradigm in the Industry 4.0 era. The PF-CoCoSo model is then utilized in the second phase to assess the preferences of organizations over different technical challenges of the blockchain technology transformation for the sustainable manufacturing paradigm in the Industry 4.0 era. An empirical case study is taken to assess the main technical challenges of blockchain technology transformation for the sustainable manufacturing paradigm. Furthermore, a comparison analysis and a sensitivity investigation are made to demonstrate the superiority of the developed framework. © 2023 Elsevier Inc.

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Decision support framework for healthcare waste disposal techniques assessment using an integrated picture fuzzy gained and lost dominance score-based approach

2024 , Arunodaya Raj Mishra , Pratibha Rani , Saeidi, Parvaneh , Adel Fahad Alrasheedi , Ahmad M. Alshamrani

Improper management of healthcare wastes can lead to severe health hazard and environmental pollution such as water, air and soil. Selection of the suitable disposal technique requires consideration of multiple alternatives and evaluation criteria. Multi-criteria decision-making frameworks can be appropriate to handle the decision-making problem of healthcare waste disposal techniques assessment. However, uncertainty is inherently appeared in the assessment of such types of real-life applications. To this aim, the present work develops a hybrid picture fuzzy group decision-making framework and applies to assess healthcare waste disposal techniques based on various criteria and uncertainty perspective. In this regard, we introduce a new distance measure for picture fuzzy sets and further use to find the decision experts’ weights. The proposed measure can overwhelm the shortcomings of some of the previously introduced picture fuzzy distance measures. Based on the proposed measure, we further present an improved maximizing deviation model to derive the weight of criteria in the picture fuzzy environment. Further, we introduce a hybrid gained and lost dominance score method by incorporating the proposed distance measure-based weighting model for experts' weights and maximizing deviation method-based criteria weights. The developed framework considers the dominance relations between options and provides more efficient outcomes in the assessment of group decision-making problems. Finally, the developed method is applied to an empirical study of healthcare waste disposal techniques assessment problem, which illustrates the usefulness of introduced framework. Sensitivity analysis is performed to test different scenarios related to the proposed approach, which demonstrates the robustness of determined outcomes. Comparison with existing studies is discussed to show the robustness of the developed group decision-making framework. The present work contributes to the field of decision support through which the policymakers can take responsible decisions in the healthcare industry.

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Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection

2024 , Arunodaya Raj Mishra , Pratibha Rani , Parvaneh Saeidi , Muhammet Deveci , Adel Fahad Alrasheedi

The household waste (HW) disposal and recycling have become a significant challenge due to increasing quantities of generated household wastes and increased levels of urbanization. Selecting locations/sites for building new HW recycling plant comprises numerous sustainability dimensions, thus, this work aims to develop new decision-making model for evaluating and prioritizing the HW recycling plant locations. This paper is categorized into three phases. First, we propose new improved score function to compare the Fermatean fuzzy numbers. Moreover, an example is presented to validate the effectiveness of proposed score function over the extant ones. Second, we introduce new distance measure to estimate the discrimination degree between Fermatean fuzzy sets (FFSs) and further discuss its advantages over the prior developed Fermatean fuzzy distance measures. Third, we introduce an integrated methodology by combining the method with the removal effects of criteria (MEREC), the stepwise weight assessment ratio analysis (SWARA) and the measurement alternatives and the ranking according to compromise solution (MARCOS) approaches with Fermatean fuzzy (FF) information, and named as the “FF-MEREC-SWARA-MARCOS” framework. In this method, the FF-distance measure is used to find the weights of involved decision-making experts. Moreover, an integrated criteria weighting method is presented with the combination of MEREC and SWARA models under the context of FFSs, while the combined FF-MEREC-SWARA-MARCOS model is applied to evaluate and prioritize the locations for HW recycling plant development, which illustrates its feasibility of the developed framework. Comparative study and sensitivity assessment are conducted to validate the obtained outcomes. This work provides a hybrid decision analysis approach, which marks a significant impact to the HW recycling plant location selection process with uncertain information.

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