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Dr. Mahyar Kamali Saraji
Kaunas Faculty, Vilnius University, Muitines 8, LT-44280 Kaunas, Lithuania

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0 Sustainability
0 Innovation Management
0 MCDM Techniques
0 Energy Transition and Justice
0 Low carbon energy system

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Journal article
Published: 25 August 2021 in Sustainability
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Decision and policymakers are looking at the potential of Industry 4.0 smart technologies to create a green economy as the European Commission aims to deliver the European Green Deal by rethinking policies for clean energy supply. Industry 4.0 will eventually be applied to all aspects of life; however, it is necessary to identify the challenges to the adoption of Industry 4.0 for a sustainable digital transformation. In this vein, the present study aims to identify the challenges to the adoption of Industry 4.0 in fintech companies and to develop a novel Fermatean fuzzy CRITIC-COPRAS method to rank the identified challenges and evaluate the performance of companies concerning the weighted challenges based on three decision experts’ support. The results indicated that “difficulty in coordination and collaboration” is the most significant challenge to the adoption of Industry 4.0 out of the fourteen identified challenges, followed by “resistance to change” and “governmental support.” In addition, the superiority and efficiency of the proposed method were investigated through comparative analyses.

ACS Style

Mahyar Kamali Saraji; Dalia Streimikiene; Grigorios L. Kyriakopoulos. Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation. Sustainability 2021, 13, 9577 .

AMA Style

Mahyar Kamali Saraji, Dalia Streimikiene, Grigorios L. Kyriakopoulos. Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation. Sustainability. 2021; 13 (17):9577.

Chicago/Turabian Style

Mahyar Kamali Saraji; Dalia Streimikiene; Grigorios L. Kyriakopoulos. 2021. "Fermatean Fuzzy CRITIC-COPRAS Method for Evaluating the Challenges to Industry 4.0 Adoption for a Sustainable Digital Transformation." Sustainability 13, no. 17: 9577.

Review
Published: 10 July 2021 in Economic Research-Ekonomska Istraživanja
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Measuring efficiency in the presence of undesirable outputs could be difficult depending on how to treat these outputs; thus, undesirable outputs modelling has been an exciting subject of several studies in the Data envelopment analysis (DEA) literature in the last two decades. The present study aims to illustrate a thorough overlook of studies in which DEA has applied for measuring efficiency with undesirable outputs. Fifty-eight articles were published from 2000 to 2020 have been systematically reviewed through PRISMA protocol. The results indicated that "Journal of Cleaner Production" ranked first with six published articles, and Chinese scholars have the most contributions to this field, with twenty-third articles. Also, almost a quarter of the published articles' scope was related to agricultural pollution, and thirteen articles were published in 2016, the highest number of published articles annually. Taken together, the theoretical and empirical implications of research in the field of Green Productivity are discussed, and some policies were recommended.

ACS Style

Justas Streimikis; Mahyar Kamali Saraji. Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations. Economic Research-Ekonomska Istraživanja 2021, 1 -35.

AMA Style

Justas Streimikis, Mahyar Kamali Saraji. Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations. Economic Research-Ekonomska Istraživanja. 2021; ():1-35.

Chicago/Turabian Style

Justas Streimikis; Mahyar Kamali Saraji. 2021. "Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations." Economic Research-Ekonomska Istraživanja , no. : 1-35.

Journal article
Published: 12 February 2021 in Energy
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Nowadays, there has been more attention paid to clean energies, especially wind, since there is a shortage of fossil fuel resources, but there is a decrease in pollutants that result from such sources. Such energies play a significant role in generating power. The non-linear nature of wind speed poses challenges and difficulty in exploiting its power. As a result, an accurate and efficient prediction of wind power will serve as a crucial means for solving the system’s planning and operational issues. This article aims to predict a wind power plant’s power output using weather and power plant parameters and employ an extended fuzzy wavelet neural network (FWNN). In the extended method, any fuzzy set rule uses different fuzzy wavelet functions to convert input space into a subspace. A uniform hybrid learning algorithm was used in the extended FWNN method to obtain an optimal proportion of parameters. The method was an optimal combination of the Particle Swarm Optimization (PSO) and Gradient Descent algorithms. The use of optimized PSO is slightly different from the basic PSO in that in this method, two layers of PSO are used within each other. Not only it has high convergence but also higher coordination and adaptability with the gradient descent algorithm. This method was used for the Manjil wind power plant in Iran, with real data being recorded every 10 min. The extended FWNN method was also compared with the conventional prediction methods. The results showed that compared to other methods reported earlier, the proposed method was a more efficient tool and had higher precision for short-term wind power forecasting.

ACS Style

Saeid Jafarzadeh Ghoushchi; Sobhan Manjili; Abbas Mardani; Mahyar Kamali Saraji. An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant. Energy 2021, 223, 120052 .

AMA Style

Saeid Jafarzadeh Ghoushchi, Sobhan Manjili, Abbas Mardani, Mahyar Kamali Saraji. An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant. Energy. 2021; 223 ():120052.

Chicago/Turabian Style

Saeid Jafarzadeh Ghoushchi; Sobhan Manjili; Abbas Mardani; Mahyar Kamali Saraji. 2021. "An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant." Energy 223, no. : 120052.

Chapter
Published: 01 January 2021 in Handbook of Research on Novel Practices and Current Successes in Achieving the Sustainable Development Goals
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The present study proposes a novel integrated SWARA-CRITIC-COPRAS under the Pythagorean fuzzy (PF) environment to evaluate the barriers to developing the sustainable business model innovation (SBMI). To this end, the barriers were identified through the literature review and evaluated by three decision experts using linguistic variables. The PF-SWARA and the PF-CRITIC method were applied to calculate the weight of the subjective and objective barriers, and the PF-COPRAS was applied to evaluate alternatives concerning the identified weighted barriers, and sensitivity and comparative analyses were performed to evaluate the proposed method's performance. The results indicated that “lack of awareness” is the most significant barrier to SBMI and the proposed method is accurate, applicable, and reliable due to its sensitivity to weight changes

ACS Style

Mahyar Kamali Saraji; Dalia Streimikiene; Agne Lauzadyte-Tutliene. A Novel Pythogorean Fuzzy-SWARA-CRITIC-COPRAS Method for Evaluating the Barriers to Developing Business Model Innovation for Sustainability. Handbook of Research on Novel Practices and Current Successes in Achieving the Sustainable Development Goals 2021, 1 -31.

AMA Style

Mahyar Kamali Saraji, Dalia Streimikiene, Agne Lauzadyte-Tutliene. A Novel Pythogorean Fuzzy-SWARA-CRITIC-COPRAS Method for Evaluating the Barriers to Developing Business Model Innovation for Sustainability. Handbook of Research on Novel Practices and Current Successes in Achieving the Sustainable Development Goals. 2021; ():1-31.

Chicago/Turabian Style

Mahyar Kamali Saraji; Dalia Streimikiene; Agne Lauzadyte-Tutliene. 2021. "A Novel Pythogorean Fuzzy-SWARA-CRITIC-COPRAS Method for Evaluating the Barriers to Developing Business Model Innovation for Sustainability." Handbook of Research on Novel Practices and Current Successes in Achieving the Sustainable Development Goals , no. : 1-31.

Journal article
Published: 07 August 2020 in Applied Soft Computing
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In recent years, Digital Technologies (DTs) are becoming an inseparable part of human lives. Thus, many scholars have conducted research to develop new tools and applications. Processing information, usually in the form of binary code, is the main task in DTs, which is happening through many devices, including computers, smartphones, robots, and applications. Surprisingly, the role of DTs has been highlighted in people’s life due to the COVID-19 pandemic. There are several different challenges to implement and intervene in DTs during the COVID-19 outbreak; therefore, the present study extended a new fuzzy approach under Hesitant Fuzzy Set (HFS) approach using Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) method to evaluate and rank the critical challenges of DTs intervention to control the COVID-19 outbreak. In this regard, a comprehensive survey using literature and in-depth interviews have been carried out to identify the challenges under the SWOT (Strengths, Weaknesses, Opportunities, Threats) framework. Moreover, the SWARA procedure is applied to analyze and assess the challenges to DTs intervention during the COVID-19 outbreak, and the WASPAS approach is utilized to rank the DTs under hesitant fuzzy sets. Further, to demonstrate the efficacy and practicability of the developed framework, an illustrative case study has been analyzed. The results of this study found that Health Information Systems (HIS) was ranked as the first factor among other factors followed by a lack of digital knowledge, digital stratification, economic interventions, lack of reliable data, and cost inefficiency In conclusion, to confirm the steadiness and strength of the proposed framework, the obtained outputs are compared with other methods.

ACS Style

Abbas Mardani; Mahyar Kamali Saraji; Arunodaya Raj Mishra; Pratibha Rani. A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak. Applied Soft Computing 2020, 96, 106613 -106613.

AMA Style

Abbas Mardani, Mahyar Kamali Saraji, Arunodaya Raj Mishra, Pratibha Rani. A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak. Applied Soft Computing. 2020; 96 ():106613-106613.

Chicago/Turabian Style

Abbas Mardani; Mahyar Kamali Saraji; Arunodaya Raj Mishra; Pratibha Rani. 2020. "A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak." Applied Soft Computing 96, no. : 106613-106613.

Journal article
Published: 26 March 2020 in Journal of Strategy and Management
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PurposeDynamic capabilities (DCs) help media firms adapt to rapidly changing environments. The purpose of this study is to provide a comprehensive literature review of studies of DCs in strategic management research with a view to understanding its implications for the management of media organizations. Essentially, it fertilizes on the idea that the concept of DC is useful and vital for answering various critical questions regarding the challenges that media organizations are currently facing.Design/methodology/approachThis study builds on a systematic literature reviewing design as the research methodology. It aims to identify, critically evaluate, and integrate factors, dimensions, and findings on studies of DCs in strategic management research and builds knowledge transfers to the field of strategic management research in the media industry.FindingsThe study shows that the DC framework helps media firms effectively respond to changing environments. The conceptual DC framework has implications for media strategy practice. Results indicate a considerable growth in the number of papers published related to the DCs in media organizations from 2003 to 2018.Originality/valueThe study qualifies the relevance and validity of the DC framework in strategic management research for the field of strategic media management. It explores a research agenda in this domain by precisely explaining the significant trends in the theory of DC to shape managerial strategies in the media industry.

ACS Style

Paul Clemens Murschetz; Afshin Omidi; John J. Oliver; Mahyar Kamali Saraji; Sameera Javed. Dynamic capabilities in media management research. A literature review. Journal of Strategy and Management 2020, 13, 278 -296.

AMA Style

Paul Clemens Murschetz, Afshin Omidi, John J. Oliver, Mahyar Kamali Saraji, Sameera Javed. Dynamic capabilities in media management research. A literature review. Journal of Strategy and Management. 2020; 13 (2):278-296.

Chicago/Turabian Style

Paul Clemens Murschetz; Afshin Omidi; John J. Oliver; Mahyar Kamali Saraji; Sameera Javed. 2020. "Dynamic capabilities in media management research. A literature review." Journal of Strategy and Management 13, no. 2: 278-296.