Decision support system toward evaluation of resilient supplier

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1741-1765 ◽  
Author(s):  
Wei Wang ◽  
Li Huang ◽  
Yuliang Zhu ◽  
Liupeng Jiang ◽  
Anoop Kumar Sahu ◽  
...  
Keyword(s):  
Solution Concept ◽  
Evaluation Framework ◽  
Supplier Evaluation ◽  
Ideal Solution ◽  
Research Gaps ◽  
Actual Performance ◽  
Content Type ◽  
Performance Loss ◽  
Research Gap ◽  
The Ideal

Purpose Supplier evaluation is a part of logistic management. In the present era, resilient supply chain performance (RSCP) assessment of the vendor enterprise is respected as a hot topic. The purpose of this paper is to enable the managers to map the performance in percentage system and also enabling managers for identifying the weak indices-metrics, which need to be improved up to ideal or standard level and strong indices-metrics. Design/methodology/approach The authors found two research gaps via a literature survey. The first research gap revealed that the performance of a resilient supplier is computed solely in terms of a fuzzy mathematical scale. The articles are not yet published, which could measure the RSCP in percentage. The second research gap argued about the mitigation of the multi-level hierarchical resilient vendor/supplier evaluation framework for materializing RSCP and identifying weak and strong performing indices-metrics. To compensate the both research gaps, the authors developed a novel fuzzy gain-loss evolutionary computational approach to assess the performance of a firm in percentage. Next, a revised ranking technique coupled with trapezoidal fuzzy set based fuzzy performance importance index is implemented on the framework to seek weak and strong indices-metrics. The performance loss of each metric using the ideal solution concept considering the attitude of decision makers is also revealed. Findings The authors found the RSC performance of supplier firm 74 per cent, whereas performance loss 26 per cent, while actual performance is compared with standard fuzzy performance index (SFPI). Performance loss 26 per cent can be compensated by improving the performance of weak indices-metrics. Originality/value The novelty of the paper is that the authors used the ideal solution concept to compute the SFPI and compare it with actual FPI for evaluating the gain and loss of resilient supplier firm in percentage and identify weak and strong indices so that managers can improve the performance of weak indices. The work possesses the significant for all organizations, as research work enables the managers to map and improve the RSC performance of any vendor firm in future. The presented work considers the case of an automobile parts supplier industry to validate the developed approach.

Measuring higher education performance in Brazil: government indicators of performance vs ideal solution efficiency measures

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter F. Wanke ◽  
Jorge J.J. Antunes ◽  
Vitor Y. Miano ◽  
Cassio L.P. do Couto ◽  
Franklin G. Mixon
Keyword(s):  
Covariance Matrix ◽  
Educational Institution ◽  
Strong Relationship ◽  
Ideal Solution ◽  
Content Type ◽  
Federal Institute ◽  
Efficiency Measures ◽  
Solution Efficiency ◽  
Education Performance ◽  
The Ideal

PurposeThis study extends the educational institutions' performance and efficiency literature by examining Brazil's Federal Institute of Education, Science and Technology (FIEST), which consists of educational units throughout the country that span several levels of education.Design/methodology/approachThe authors build and analyze a covariance matrix consisting of both a group of efficiency measures and a group of performance indicators used by Brazil's Ministry of Education (BME). The values in the covariance matrix are maximized through application of the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), in which the weights of each variable are optimized in order to capture the direction of the relationship between the two sets of efficiency measures.FindingsAlthough the authors find that the collective efficiency of the educational units analyzed did not change during the period of study, the analysis reveals that government indicators of performance do not exhibit a strong relationship to the ideal solution efficiency measures used in this study.Originality/valueThis study extends the educational institution efficiency literature by examining Brazil's FIEST, which consists of 40 educational units throughout the country that spans several levels of education, from upper high school vocational courses to higher degrees.

A review on textual analysis of corporate disclosure according to the evolution of different automated methods

2020 ◽  
Vol 18 (4) ◽  
pp. 757-777
Author(s):  
Bijitaswa Chakraborty ◽  
Titas Bhattacharjee
Keyword(s):  
Textual Analysis ◽  
Information Sources ◽  
Research Database ◽  
Corporate Disclosure ◽  
Research Gaps ◽  
Content Type ◽  
Research Gap ◽  
Disclosure Tone ◽  
The Impact ◽  
Automated Methods

Purpose The purpose of this paper is to give a comprehensive review and synthesis of automated textual analysis of corporate disclosure to show how the accuracy of disclosure tone has been incremented with the evolution of developed automated methods that have been used to calculate tone in prior studies. Design/methodology/approach This study have conducted the survey on “automated textual analysis of corporate disclosure and its impact” by searching at Google Scholar and Scopus research database after the year 2000 to prepare the list of papers. After classifying the prior literature into a dictionary-based and machine learning-based approach, this study have again sub-classified those papers according to two other dimensions, namely, information sources of disclosure and the impact of tone on the market. Findings This study found literature on how value relevance of tone is varied with the use of different automated methods and using different information sources. This study also found literature on the impact of such tone on market. These are contributing to help investor’s decision-making and earnings and returns prediction by researchers. The literature survey shows that the research gap lies in the development of methodologies toward the calculation of tone more accurately. This study also mention how different information sources and methodologies can influence the change in disclosure tone for the same firm, which, in turn, may change market performance. The research gap also lies in finding the determinants of disclosure tone with large scale data. Originality/value After reviewing some papers based on automated textual analysis of corporate disclosure, this study shows how the accuracy of the result is incrementing according to the evolution of automated methodology. Apart from the methodological research gaps, this study also identify some other research gaps related to determinants (corporate governance, firm-level, macroeconomic factors, etc.) and transparency or credibility of disclosure which could stimulate new research agendas in the areas of automated textual analysis of corporate disclosure.

scholarly journals Malmquist Productivity Index by Extended VIKOR Method Using Interval Numbers

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Mohammad Fallah ◽  
Amir Mohajeri ◽  
Esmaeil Najafi
Keyword(s):  
Multicriteria Decision Making ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Ideal Solution ◽  
Vikor Method ◽  
Decision Matrix ◽  
Interval Numbers ◽  
Productivity Rate ◽  
The Given ◽  
The Ideal

The VIKOR method was developed for multicriteria optimization of complex systems. It determines the compromise ranking list and the compromise solution obtained with the given weights. This method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. Here, the VIKOR method is used for two timestandt+1. In order to calculate the progress or regression via Malmquist productivity index, the positive and negative ideals at timestandt+1are calculated first. Then we introduce the multi-criteria ranking index based on the particular measure of “closeness” to the ideal solution and calculate the separation of each alternative from the ideal solution at timestandt+1. Then we use the Malmquist productivity index to calculate the progress or regression of all alternatives. In this paper, productivity of alternatives available in decision matrix with interval numbers and their improvement or deterioration is researched. To achieve this practical goal, use of extended VIKOR is made to calculate Malmquist productivity index for multicriteria decision-making (MCDM) problem with interval numbers, and by applying Malmquist productivity index, productivity rate of growth for alternatives is calculated. Finally, a numerical example illustrates and clarifies the main results developed in this paper.

scholarly journals Compliance with materiality in G4-sustainability reports by electric utilities

2019 ◽  
Vol 14 (3) ◽  
pp. 583-608 ◽  
Author(s):  
Johannes Slacik ◽  
Dorothea Greiling
Keyword(s):  
Content Analysis ◽  
Information Needs ◽  
Electric Utility ◽  
Global Reporting Initiative ◽  
Actual Performance ◽  
Content Type ◽  
Reporting Practices ◽  
Reporting Practice ◽  
Sustainability Reports

Purpose Materiality as an emerging trend aims to make sustainability reports (SR) more relevant for stakeholders. This paper aims to investigate whether the reporting practice of electric utility companies (EUC) is in compliance with the materiality principle of the Global Reporting Initiative (GRI) when disclosing SR. Design/methodology/approach A twofold content analysis focusing on material aspects (MAs) is conducted, followed by correlation analysis. Logic and conversation theory (LCT) serves to evaluate the communication quality of documented materiality in SR by EUC. Findings The coverage and quality of documented MAs in SR by EUC do not meet the requirements for relevant and transparent communication. Materiality does not guide the reporting practice and is not taken seriously. Research limitations/implications Mediocre quality of coverage and communication in SR shows that stakeholders’ information needs are not considered adequately. The content analysis is limited in focusing on merely documented aspects rather than on actual performance. Originality/value This study considers the quality of communication of documented materiality through the lens of LCT. It contributes to the academic debate by introducing LCT as a viable theoretical perspective for analyzing SR. The paper evaluates GRI-G4 reporting practices in the electricity sector, which, while under-researched is crucial for sustainability. It also contributes to the emerging body of empirical research on the relevance of materiality as a guiding principle for sustainability reporting.

State-of-the-art literature review on inventory models for perishable products

2018 ◽  
Vol 15 (3) ◽  
pp. 306-346 ◽  
Author(s):  
Vaibhav Chaudhary ◽  
Rakhee Kulshrestha ◽  
Srikanta Routroy
Keyword(s):  
Inventory Management ◽  
Systemic Review ◽  
Current Status ◽  
Future Research ◽  
Inventory Models ◽  
Research Gaps ◽  
Content Type ◽  
Perishable Items ◽  
Perishable Inventory ◽  
The Future

PurposeThe purpose of this paper is to review and analyze the perishable inventory models along various dimensions such as its evolution, scope, demand, shelf life, replenishment policy, modeling techniques and research gaps.Design/methodology/approachIn total, 418 relevant and scholarly articles of various researchers and practitioners during 1990-2016 were reviewed. They were critically analyzed along author profile, nature of perishability, research contributions of different countries, publication along time, research methodologies adopted, etc. to draw fruitful conclusions. The future research for perishable inventory modeling was also discussed and suggested.FindingsThere are plethora of perishable inventory studies with divergent objectives and scope. Besides demand and perishable rate in perishable inventory models, other factors such as price discount, allow shortage or not, inflation, time value of money and so on were found to be combined to make it more realistic. The modeling of inventory systems with two or more perishable items is limited. The multi-echelon inventory with centralized decision and information sharing is acquiring lot of importance because of supply chain integration in the competitive market.Research limitations/implicationsOnly peer-reviewed journals and conference papers were analyzed, whereas the manuals, reports, white papers and blood-related articles were excluded. Clustering of literature revealed that future studies should focus on stochastic modeling.Practical implicationsStress had been laid to identify future research gaps that will help in developing realistic models. The present work will form a guideline to choose the appropriate methodology(s) and mathematical technique(s) in different situations with perishable inventory.Originality/valueThe current review analyzed 419 research papers available in the literature on perishable inventory modeling to summarize its current status and identify its potential future directions. Also the future research gaps were uncovered. This systemic review is strongly felt to fill the gap in the perishable inventory literature and help in formulating effective strategies to design of an effective and efficient inventory management system for perishable items.

scholarly journals Sustainable Performance Evaluation: Evidence from Listed Chinese Mining Corporations

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Industrial Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Sustainable Performance ◽  
Research Gap ◽  
Development Evaluation

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.

Herbert Olivecrona: founder of Swedish neurosurgery

1993 ◽  
Vol 78 (1) ◽  
pp. 142-149 ◽  
Author(s):  
Bengt Ljunggren
Keyword(s):  
Medical Society ◽  
Practical Application ◽  
Posterior Fossa Tumors ◽  
Neurosurgical Department ◽  
Content Type ◽  
Harvey Cushing ◽  
International Reputation ◽  
Technical Innovations ◽  
Diagnostic Neuroradiology ◽  
The Ideal

✓ Herbert Olivecrona (1891–1980) singlehandedly founded Swedish neurosurgery. At the International Congress in Neurology in Bern in August, 1931, Harvey Cushing invited the cream of the world's medical society to a private banquet. Among the 28 specially invited guests was Herbert Olivecrona. At 40 years old, Olivecrona took his seat with pioneers such as Otfrid Foerster, Percival Bailey, Hugh Cairns, Geoffrey Jefferson, and Sir Charles Sherrington. This suggests that Cushing was impressed by the Swedish aristocrat's didactic deeds when he visited the Serafimer Hospital in Stockholm 2 years earlier. During the mid-1920's, the radiologist Erik Lysholm greatly improved the technique of ventriculography and, challenged by Olivecrona, his diagnostic neuroradiology became of superior quality. In the early 1930's, utilizing technical innovations of his own, Lysholm became a master at demonstrating and localizing posterior fossa tumors, which Olivecrona then operated on. Olivecrona's clinic became the mecca to which many scholars, thirsting for more knowledge, went on a pilgrimage. The international reputation of the clinic was founded, not on epoch-making discoveries, but by the resolute and practical application of methods already launched elsewhere and the exemplary organization that Olivecrona had established in collaboration with Lysholm. In spite of hardships and primitive working conditions, the clinic at the Serafimer Hospital gradually developed into the ideal prototype for a modern neurosurgical department. Olivecrona trained many colorful personalities who later were to lay the foundation for neurosurgery in their home countries; these included Wilhelm Tönnis of Germany, Edvard Busch of Denmark, and Aarno Snellman of Finland. Olivecrona was a true pioneer who made major contributions in practically all fields of conventional neurosurgery.

The impact of a refurbishment programme on older people living in sheltered housing

2021 ◽  
Vol 24 (2) ◽  
pp. 54-64
Author(s):  
Zeibeda (Zeb) Sattar ◽  
Stephanie Wilkie ◽  
Jonathan Ling
Keyword(s):  
Well Being ◽  
Realist Evaluation ◽  
Evaluation Framework ◽  
Sheltered Housing ◽  
Social Activities ◽  
Content Type ◽  
Social And Emotional ◽  
Communal Areas ◽  
Physical Changes ◽  
The Impact

Purpose This paper aims to explore residents' perceptions of a refurbishment programme to sheltered housing schemes and its impact on their well-being. Design/methodology/approach The methodology draws upon a realist evaluation framework. Four participatory appraisals (PAs) and 19 interviews with residents were conducted in the sheltered housing schemes. Ages of participants ranged from 50 to 99 years. Findings Two categories of residents were identified: healthy active older adults and older frail adults (or over 85+). Residents said their social and emotional well-being improved from the provision of indoor and outdoor communal areas. Older frail residents only accessed the new communal spaces when staff took them in their wheelchairs. The physical changes increased opportunities for social connections for residents. Conservatories and sensory gardens were most popular. Residents felt that structured activities in the new spaces and digital training would improve their social activities. Research limitations/implications The participatory methods spanned over an hour, and some residents felt too tired to complete the full session. Practical implications A practical limitation was that some sensory rooms were not fully completed at the time of the evaluation. Originality/value This paper adds the following: Perceptions of residents of a refurbishment programme in sheltered housing and the impact on their well-being. Perceptions of residents about social activities after a refurbishment programme. Perceptions of residents about the impact of physical changes to their sheltered housing schemes and impact on their internal accessibility to the improvements.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

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