Saeidi, Parvaneh

Preferred name

Saeidi, Parvaneh

Main Affiliation

Centro de Investigación en Empresa, Sociedad y Tecnología

Quito

parvanehsaeidi@uti.edu.ec

ORCID

0000-0002-9743-9372

Scopus Author ID

55252035700

Now showing 1 - 10 of 17

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The Mediating Role of Total Quality Management between Corporate Social Responsibility and Corporate Environmental Performance
(2024)
Sayedeh Parastoo Saeidi
;
Saeidi, Parvaneh
;
Sayyedeh Parisa Saeidi
Manufacturers have been under increasing pressure from various groups to recognize and deal with the environmental effects of their operations, especially in the past twenty years. To manage this challenge, they have adopted two practices: corporate social responsibility (CSR) and total quality management (TQM). However, it is still not clear how these practices are supposed to affect environmental performance in developing countries, particularly the less developed ones. This study aimed to fill this gap by researching whether TQM could mediate between CSR and green management in Iranian manufacturing companies. The Baron and Kenny method was used to achieve the answer. The structural equation modeling method, using AMOS, was additionally used to explore the relationships between the concepts. Out of 849 questionnaires distributed, 328 usable responses were received. The findings supported all hypotheses: CSR is linked to a company’s environmental performance, CSR is connected to TQM, TQM is associated with the company’s environmental performance, and the relationship between CSR and environmental performance is partly mediated by TQM. Practically, the findings of this study provide organizations with actionable guidance to enhance their environmental sustainability practices, resulting in fostering long-term sustainability and gaining a competitive advantage.
27
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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.
24
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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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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
Scopus© Citations 20 15
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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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Low-carbon tourism strategy evaluation and selection using interval-valued intuitionistic fuzzy additive ratio assessment approach based on similarity measures
(2022)
Mishra, A.R.
;
Chandel, A.
;
Saeidi, Parvaneh
Recently, the assessment and selection of most suitable low-carbon tourism strategy has gained an extensive consideration from sustainable perspectives. Owing to participation of multiple qualitative and quantitative attributes, the low-carbon tourism strategy (LCTS) selection process can be considered as multi-criteria decision-making (MCDM) problem. As uncertainty is usually occurred in LCTSs evaluation, the theory of interval-valued intuitionistic fuzzy sets (IVIFSs) has been established as more flexible and efficient tool to model the uncertain decision-making problems. The idea of the present study is to develop an extended method using additive ratio assessment (ARAS) framework and similarity measures in a way to find an effective solution to the decision-making problems using IVIFSs. The bases of the proposed method are the IVIFSs operators, some modifications in the traditional ARAS framework and a calculation procedure of the weights of the criteria. To calculate criterion weight, new similarity measures for IVIFSs are developed aiming at the achievement of more realistic weights. Also, a comparison is demonstrated to the currently used similarity measures in order to show the efficiency of the developed approach. To confirm that the developed IVIF-ARAS approach can be successfully employed to practical decision-making problems, a case study of LCTS selection problem is considered. The final results from the developed approach and the extant models are compared for the validation of the proposed approach in this study. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
Scopus© Citations 31 19
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Influence of Corporate Social Responsibility on Industry’s Green Product and Process Innovation: Sustainable Development as a Mediator
(2024)
Saeidi, Parvaneh
;
Saeidi S.P.
;
Saeidi S.P.
;
Saaeidi S.A.
;
Carvajal M.G.
While there are wide-ranging studies on corporate social responsibility (CSR), innovation, and sustainable development (SD), few studies have tried to make a connection between those three organizational factors in the industry section. Therefore, this study tried to investigate how does CSR with its four main components contribute to industry’s green product and process innovation through sustainable development. This study has a comprehensive view to compare the SD to the existing studies by considering all three aspects of SD, namely, economic, social and environmentally sustainable development. In fact, it is going to be answered that: whether economic, social and environmentally sustainable developments play as mediators in between CSR and green innovation (product and process) in industry? Data were collected during June-October 2020 from 217 manufacturing industries from Iran where CSR has not been appropriately dealt within theoretical as well as practical terms. AMOS structural equation modeling (AMOS-SEM) method was applied to analyze data. Following the Baron and Kenny approach in testing hypotheses, it was found that CSR-process innovation is a fully mediated relationship by environmentally sustainable development, and partially mediated by economic and social sustainable development. Whereas CSR-product innovation is fully mediated by social sustainable development and partially mediated by economic and environmentally sustainable development. In the second part of the data analysis, customers’ expectations, and financial issues respectively, were known as the highest and lowest motivational factors in Iranian manufacture industry, for implementing CSR. The results help Iranian managers to understand their current status, capabilities, strengths and weaknesses in sustainable development. It also recommends that since CSR dimensions had a positive effect on all sustainable development aspects, they should be integrated in the organizational strategies for having better sustainable development, and higher green product and process innovation in the industry. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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A New Extended VIKOR Approach Using q-Rung Orthopair Fuzzy Sets for Sustainable Enterprise Risk Management Assessment in Manufacturing Small and Medium-Sized Enterprises
(2021)
Cheng S.
;
Jianfu S.
;
Alrasheedi M.
;
Saeidi, Parvaneh
;
Mishra A.R.
In recent years, the important role of sustainable development is highlighted in the literature; therefore, a company to make a sustainable business success needs to be well focused on social, environmental, economic, and technological characteristics of the business to address risks and capture value properly. The process of Sustainability Enterprise Risk Management (SERM) is typically implemented to integrate all social, economic, environmental, and technological aspects in a systematic way to properly manage emerging risks and other non-quantifiable risks for company survival. Therefore, in this study, an attempt has been carried out to develop a comprehensive framework to implement the ERM framework under the sustainability platform by considering 29 sub-criteria based on four main aspects, including social, environmental, technological, and economic. In addition, a new fuzzy decision-making approach using the VIKOR (VlseKriterijumska Optimizacija Kompromisno Resenje) approach under q-rung orthopair fuzzy set (q-ROFSs) called VIKOR-q-ROFSs approach is introduced to identify, rank, and evaluate the main criteria of SERM in the universal appeal for all industries such as Chinese manufacturing Small And Mid-Size Enterprises (SMEs) based on expert opinions and literature review. To determine the weights of SERM criteria by the decision experts, this study has introduced q-ROFNs. Moreover, to facilitate the q-ROFNs, a novel q-rung orthopair fuzzy weighted averaging operator (q-ROFWAO) is proposed. Furthermore, VIKOR is applied to rank and evaluate the manufacturing SMEs as the alternatives for this study. The results of this paper showed that technological suitability was the important risk factor followed by technological advance, occupational safety and health, product and services responsibility, (benefit) anti-corruption labor practices, and technological practicability. In addition, the findings of the analysis show that the proposed method was efficient and effective in evaluating risk assessment of SERM in the SMEs. © 2021, Taiwan Fuzzy Systems Association.
Scopus© Citations 41 46
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Effect of enterprise risk management on firms’ outcomes with the moderating effect of knowledge management
(2024)
Saeidi, Parvaneh
;
Sayyedeh Parisa Saeidi
;
Sayedeh Parastoo Saeidi
;
Hugo Villacrés Endara
;
Galarraga Carvajal, Mercedes
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.
21
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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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Saeidi, Parvaneh

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