scholarly journals Identifying Factors Affecting Sustainability Reporting of Pharmaceutical Companies: Application of Delphi and Analytic Network Process based on Fuzzy DEMATEL

2021 ◽  
Author(s):  
Habibollah Esmaeilzadeh ◽  
Hasan Ghodrati ◽  
Hossein Jabbari ◽  
Meysam Arabzadeh
Keyword(s):  
Pharmaceutical Industry ◽  
Social Factors ◽  
Sustainability Reporting ◽  
Analytic Network Process ◽  
Pharmaceutical Companies ◽  
Snowball Sampling ◽  
Fuzzy Dematel ◽  
Sustainable Innovation ◽  
Network Process ◽  
University Industry

Background: Today, one of the most important concerns in the pharmaceutical industry is achieving sustainability, and the pharmaceutical industry is recognized as a leading sector in corporate sustainability reporting. The purpose of this study was to identify, extract, prioritize and analyze the social factors and corporate characteristics which are effective in the sustainability reporting of Iranian pharmaceutical companies. Methods: This was a cross-sectional study conducted in autumn 2020. The expertise and availability principles were used for sampling, and the snowball sampling method was used for sample selection. In order to identify and extract effective social factors and corporate characteristics, the method of content analysis and the study's review of literature have been used. The survey was conducted on 40 experts in the field of research using a researcher-made questionnaire. In order to purify the effective factors, Delphi method and the Analytic Network Process method based on Fuzzy DEMATEL were used. Results: In terms of a strong interaction, the criterion for university-industry collaborations came first, and the criterion for sustainable innovation and cooperation with other companies came next. In this study, profitability, research and development intensity and the financial leverage were considered to be weak causal variables and sustainability reporting, an effect variable. Conclusion: The results showed that Iranian pharmaceutical companies, in order to achieve the goals of sustainable development, should emphasize the continuous and regular presentation of annual sustainability reporting, and in this regard, key factors such as the criteria of university-industry collaborations, sustainable innovation and cooperation with other companies should be considered critical priorities.

scholarly journals A Hybrid Fuzzy Analytic Network Process Approach to the New Product Development Selection Problem

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Chiuh-Cheng Chyu ◽  
Ying-Chieh Fang
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Real Life ◽  
New Product ◽  
Analytic Network Process ◽  
Selection Problem ◽  
Fuzzy Dematel ◽  
Proposed Model ◽  
Network Process ◽  
Fuzzy Analytic Network Process

New product development selection is a complex decision-making process. To uphold their competence in competitive business environments, enterprises are required to continuously introduce novel products into markets. This paper presents a fuzzy analytic network process (FANP) for solving the product development selection problem. The fuzzy set theory is adopted to represent ambiguities and vagueness involved in each expert’s judgment. In the proposed model, the fuzzy Kano method and fuzzy DEMATEL are employed to filter criteria and establish interactions among the criteria, whereas the SAM is applied to aggregate experts’ opinions. Unlike the commonly used top-down relation-structuring approach, the proposed FANP first identifies the interdependence among the criteria and then the identified relationships are mapped to the clusters. This approach is more realistic, since the inner and outer relationships between criteria are simultaneously considered to establish the relationships among clusters. The proposed model is illustrated through a real life example, with a comparative analysis using modified TOPSIS and gray relation analysis in the synthesizing phase. The concluded results were approved by the case company. The proposed methodology not only is useful in the case study, but also can be generally applied in other similar decision situations.

scholarly journals Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach

2020 ◽  
Vol 12 (18) ◽  
pp. 7830 ◽  
Author(s):  
Seyed Armin Mirhosseini ◽  
Reza Kiani Mavi ◽  
Neda Kiani Mavi ◽  
Behzad Abbasnejad ◽  
Farzaneh Rayani
Keyword(s):  
Decision Making ◽  
Leadership Style ◽  
Implementation Process ◽  
Leadership Competencies ◽  
Analytic Network Process ◽  
Information Modeling ◽  
Fuzzy Decision Making ◽  
Competency Assessment ◽  
Fuzzy Dematel ◽  
Network Process

The use of new, digitally enabled innovations, such as building information modeling (BIM), raises issues such as the delineation of a competent leader. Even though BIM-based competency assessment models have become essential tools for maximizing the potential values of BIM implementation, the current competency models provide limited focus on leadership aspects that facilitate and enhance the BIM implementation efforts. This paper seeks to identify the specific competencies required for BIM implementation and examines the relationships between these competencies. Thirty-two experts from around the globe investigated a total of 15 leadership competencies under three categories pertaining to intellectual, managerial, and emotional leadership. Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) was implemented to examine the cause-and-effect relationships among the BIM leadership competencies and fuzzy analytic network process (ANP) was performed to weigh those competencies. Findings show that the intellectual competencies act as the cause group, while managerial and emotional competencies are the effect groups. Moreover, the involving leadership is found to be the more suitable leadership style for BIM professionals, given the current capability and maturity levels of BIM implementation, in order to deal with the required changes throughout the BIM implementation process. This study contributes to the existing body of knowledge in the BIM domain to examine the associated leadership competencies by using the multi-criteria decision-making (MCDM) technique. The results of this research show the relative importance of criteria and sub-criteria, which contributes to further improvement of BIM leadership.

A Novel Hybrid MCDM Approach Based on Fuzzy DEMATEL, ANP, and Fuzzy VIKOR for Selecting the Best Project Managers

2018 ◽  
Vol 9 (2) ◽  
pp. 38-64 ◽  
Author(s):  
Ekhtiar Khodadadi ◽  
Mehdi Aghabeigi
Keyword(s):  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Project Managers ◽  
Fuzzy Dematel ◽  
Fuzzy Vikor ◽  
Library Studies ◽  
Network Process ◽  
Key Factor ◽  
Managerial Competency ◽  
Current Article

Selecting the best managers from several proposed alternatives is a key factor in project success. The act of selecting administer is a multi-indicatory issue which includes qualitative and quantitative criteria that might be in contradiction or even might be vague. Therefore, complexity and importance of the problem requires using of analytical procedures rather than intuitive decisions. In the current article, first, the managerial competency criteria has been identified based on the library studies and surveys of specialists in the community. A Fuzzy DEMATEL method has been used for the sake of prioritizing the evaluation criteria and also for the relationship between effective criteria on the choice of superior managers of the project, afterward Analytic Network Process was applied for determining the weight criteria. In the end, a fuzzy multi-criteria model was designed, and through using metology, fuzzy sets and fuzzy VIKOR techniques, management substitution candidates have been prioritized.

Sistem Pendukung Keputusan Menggunakan Metode ANP Untuk Pemilihan Toko Daring Terbaik di Politeknik Ganesha

2019 ◽  
Vol 4 (1) ◽  
pp. 83
Author(s):  
Romindo Romindo ◽  
Jamaludin Jamaludin
Keyword(s):  
Analytic Network Process ◽  
Network Process

Kegiatan bisnis pada toko daring semakin berkembang dengan seiring berkembangnya teknologi, proses jual dan beli dengan media internet pun semakin marak dilakukan oleh Masyarakat. Masyarakat tidak perlu lagi keluar rumah dan menghadapi macetnya jalan jika ingin membeli suatu barang. Perkembangan inipun dirasakan oleh masyarakat khususnya mahasiswa Politeknik Ganesha. Mahasiswa Politeknik Ganesha sering melakukan kegiatan berbelanja di toko daring atau biasa dikenal dengan online shop. Kegiatan yang dilakukan oleh mahasiswa Politeknik Ganesha ini seringkali menimbulkan perbincangan tentang toko daring. Perbincangan seputar toko daring untuk memenuhi kebutuhan mahasiswa dalam berbelanja online, serta perbincangan dalam perbandingan memilih toko daring mana yang terbaik dalam berlanja online. Dengan permasalahan yang terjadi dikalangan mahasiswa Politeknik Ganesha, maka penting diketahui dalam menentukan keputusan pemilihan toko daring mana yang terbaik dilingkungan Politeknik Ganesha. Proses pemilihan tersebut menggunakan metode Analytic Network Process (ANP) sebagai salah satu metode pada Sistem Pendukung Keputusan. 10 kriteria yang sudah ditentukan oleh mahasiswa Politeknik Ganesha, yaitu: Nomor Telepon/Chatting Online, Produk Popular, Gratis Ongkos Kirim, Sistem Pemabayaran, Logo, Sosial Media Link, Toko Finder, Merk Produk, Berita Terbaru, dan Trusmark. Dan 3 alternatif jenis Toko Daring yaitu: Bukalapak, Shopee dan Lazada. Hasil penelitian pada pengolahan data menggunakan metode ANP menunjukkan bahwa jenis toko daring yang bisa direkomendasikan dikalangan mahasiswa Politeknik Ganesha adalah yang peratama sebagai prioritas tertinggi Shopee = 3.80, kemudian yang kedua adalah Bukalapak = 3.73, dan yang terakhir adalah Lazada = 2.47.

Prioritizing Strategic Factors of Creative Tourism Industry in Iran by Analytic Network Process (ANP)

2020 ◽  
Vol 24 (5) ◽  
pp. 553-565
Author(s):  
Reza Kiani Mavi ◽  
Hamed Gheibdoust ◽  
Ahmad A. Khanfar
Keyword(s):  
Policy Making ◽  
Analytic Network Process ◽  
Influential Factors ◽  
Tourism Industry ◽  
Policy Makers ◽  
Business Support ◽  
Network Process ◽  
Strategic Factors ◽  
Strategic Policy ◽  
Strategic Policies

Nowadays, it is obvious that creative tourism industry has become very essential for countries and societies; therefore, governments work on constituting policies in order to develop this industry. To be successful in improving creative tourism industry, governments should identify the influential factors and focus on ones that are more important rather than investing a bit on many different factors. Because of the interrelations among factors, this research is aiming to prioritize factors that influence strategic policies of creative tourism industry in Iran using analytic network process (ANP). Data were collected during the period of May 2017 to February 2018. Participants in this research are 13 tourism experts with more than 10 years' experience in the field. Results show that the most influential criterion is "business support" and the most influential subcriterion is "supporting midsize businesses." This study helps policy makers to improve creative tourism by emphasizing on those factors that have high priority from the viewpoint of strategic policy-making.

Ứng dụng Fuzzy Analytic Network Process và Goal Programming trong lựa chọn nhà cung ứng xanh

2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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