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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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.
23
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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.
19
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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.
29
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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.
19
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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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A decision support model for evaluating risks in the digital economy transformation of the manufacturing industry
(2023)
Shang C.
;
Jiang J.
;
Zhu L.
;
Saeidi, Parvaneh
In recent decades, digital technologies have seriously changed socioeconomic systems on a global scale. Unfortunately, consequential issues have remained mostly uninvestigated. The literature lacks research into the risks that may arise in the procedure of developing digital capabilities that have considerable impacts on firms’ innovative growth. In addition, inadequate research has been conducted on challenges that may arise when a business is being developed in the context of the digital economy. Moreover, the advent of new risks specific to the digital economy has not been addressed in the overall system of modern economic relations. As a result, the current study aims to investigate the major areas of relevance to transforming companies into the digital economy, considering the impacts of new risks encountered during such transitions. Along this line, this paper develops a decision support model for evaluating risks in the digital economy transformation of the manufacturing industry. This approach is applied to compute the weights and the study ranks the most important risks for digital economy transformation in the manufacturing industry. In addition, the proposed method model is implemented to find industries’ priorities of different risks for the digital economy transformation of the manufacturing industry. Finally, a case study is carried out to assess the most important risk for the digital transformation of the manufacturing industry. The results show that lack of top management involvement (f7), with a weight of 0.0563, an unstable market environment in terms of the uncertainty industry, and market volatility, with a weight of 0.0542, are the most considerable risks for the digital economy transformation (DET) of the manufacturing industry. Additionally, comparison and sensitivity analyses are made to illustrate the advantage of the presented approach. © 2023 The Authors
Scopus© Citations 2 35
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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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