Article
Computer Science, Artificial Intelligence
Zahra Shiri Daryani, Ghasem Tohidi, Behrouz Daneshian, Shabnam Razavyan, Farhad Hosseinzadeh Lotfi
Summary: This paper proposes a four-stage method to estimate the inputs and outputs of DMUs with a two-stage network structure method, while keeping the allocative efficiency scores of all units stable.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Andrey Lovakov, Maia Chankseliani, Anna Panova
Summary: This study examines how post-Soviet countries have overcome the issue of organizational separation between higher education and research through analyzing 319410 publications. While universities now produce the majority of research output in these countries, Academies of Sciences remain important players in research.
Article
Computer Science, Artificial Intelligence
Mohammad Khoveyni, Robabeh Eslami
Summary: This study proposes an input-output-oriented linear model in network data envelopment analysis (DEA) to measure the overall efficiency of two-stage decision-making units (DMUs) with shared resources. Comparative analysis shows the superiority of our model over existing models, and an empirical example demonstrates the applicability of our proposed model.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Evelin Krmac, Boban Djordjevic
Summary: Ports are vital hubs for logistical activities and economic growth, but they also have negative impacts such as energy consumption and air pollution. Policies and measures have been developed to reduce these impacts, and seeking best practices has proven effective. This study uses DEA models to measure port environmental efficiency and compares one-stage and two-stage models using case studies of the ports of Koper and Dublin. The results provide best practices and highlight the differences between the two models, with distance metrics used to identify necessary improvements for inefficient decision-making units (DMUs) to achieve best practices.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Energy & Fuels
Elif E. Demiral, Umit Saglam
Summary: The study found that 32 states in the US operate efficiently in terms of eco-efficiency, with 5 states performing at the most optimal scale, 17 states having considerable potential for boosting their productive efficiencies, and 28 states being overinvested in input variables. The non-radial DEA models show that the states' capital efficiency is very high, while energy and emission efficiencies are very low. The states' ecoproductivity is relatively higher than the eco-efficiency levels.
Article
Computer Science, Interdisciplinary Applications
Mohammad Khoveyni, Robabeh Eslami
Summary: This study proposes a new approach to finding the efficiency stability regions of efficient multi-stage production processes using network data envelopment analysis (NDEA). By defining the concepts of 'network-efficient', 'extreme network-efficient', and 'ESR' in NDEA, a linear DEA model is introduced to specify extreme network-efficient two-stage production processes and a DEA approach is proposed to find their ESRs. The research also discusses the managerial and economic implications of finding these ESRs and provides numerical examples and an empirical application to illustrate the proposed approach.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Management
Saber Mehdizadeh, Alireza Amirteimoori, Vincent Charles, Mohammad Hassan Behzadi, Sohrab Kordrostami
Summary: The article introduces a two-stage network DEA model with stochastic data to address real-world scenarios involving stochastic behavior. The model is formulated based on probability distribution properties, and discussions on the relationship between the two stages at different confidence levels and aspiration levels are provided. The proposed approach is applied to a real case involving 16 commercial banks in China to demonstrate its applicability.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Operations Research & Management Science
Tianyi Zhao, Jianhui Xie, Ya Chen, Liang Liang
Summary: The article introduces the widespread application of two-stage network data envelopment analysis (DEA) in evaluating the efficiency of different organizations. However, the existing DEA methods often ignore the coordination effect between the two stages. To address this issue, the article proposes an extended DEA method for measuring the coordination efficiency of general two-stage network systems. The effectiveness of the proposed method is verified through two numerical examples.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Mohammad Izadikhah, Reza Farzipoor Saen
Summary: This study presents a new stochastic two-stage DEA model for assessing the sustainability of supply chains. Unlike conventional models, this model considers intermediate products. The efficacy of the model is demonstrated through a case study.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Mathematics
Chia-Nan Wang, Phi-Hung Nguyen, Thi-Ly Nguyen, Thi-Giang Nguyen, Duc-Thinh Nguyen, Thi-Hoai Tran, Hong-Cham Le, Huong-Thuy Phung
Summary: This research develops a two-stage DEA model to measure the performance efficiency of Vietnam's top 18 seaports. The DEA resampling technique is used to forecast future performance, and the DEA Malmquist model analyzes efficiency improvement. The results indicate that most ports have slightly advanced in technological efficiency.
Article
Multidisciplinary Sciences
Ayodotun Stephen Ibidunni, Benson Yuichi Nwaodu, Lerato Education Mdaka
Summary: Bringing quality management research into perspective is crucial for Higher Education Institutions (HEIs) in developing nations like Nigeria. The existing literature lacks sufficient explanation of the relationship between total quality management implementation and research performance in the educational industry, especially from a developing economy perspective. Therefore, this study investigates the impact of total quality management (TQM) on the research output of HEIs in Nigeria. The findings suggest that implementing TQM, especially through its various tools, values, and methodologies, benefits improving HEIs' research outputs.
Article
Engineering, Industrial
Filippo Visintin, Davide Aloini, Simone Gitto, Sara Vannelli, Daniele Di Feo
Summary: This study applies a two-stage bootstrap data envelopment analysis (DEA) to assess the efficiency of radiology units in public hospitals. The first stage involves a bootstrap DEA analysis to identify efficient units by testing the hypotheses of variable returns to scale. In the second stage, a bootstrap truncated regression is used to examine the effects of four explanatory variables (chief radiology technologist's years of service, presence of customer satisfaction survey systems, age of the equipment, and output variety) on the technical efficiency of radiology units. Surprisingly, the results show that newer equipment leads to decreased productivity, while seniority of the chief radiology technologist and the presence of customer satisfaction survey systems do not contribute to better productivity. On the other hand, a variety of output positively influences productivity.
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Gabriela Vica Olariu, Stelian Brad
Summary: Risk management is crucial in organizations. This study evaluates the efficiency of study programs in Romanian higher education using the DEA method and finds that the inefficiency of study programs is relatively persistent. Higher education institutions should focus on improving the quality and attractiveness of study programs.
Article
Engineering, Marine
Hui Li, Linli Jiang, Jianan Liu, Dandan Su
Summary: In the context of economic globalization, the proper management of coastal port logistics performance is crucial for efficient operation and economic development. This study evaluated the efficiency of China's coastal ports using a four-stage DEA model and found that there is a discrepancy between port size and planning emphasis. The study also revealed that improving road network construction and the economic level in hinterland port cities have a positive impact on logistics efficiency, while tertiary industry investment and foreign trade levels have a negative correlation with coastal port logistics efficiency.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Social Issues
Chonghui Zhang, Nanyue Jiang, Tiantian Su, Ji Chen, Dalia Streimikiene, Tomas Balezentis
Summary: In response to the increasing higher education attainment and expansion of higher education institutions, many countries have started evaluating discipline efficiency to measure performance, promote competition, and allocate resources effectively. This paper proposes a three-stage multi-criteria decision-making method with bootstrapping to assess a discipline's scientific research efficiency from the university-level perspective. The proposed model incorporates contextual variables and random error to ensure robust analysis.
TECHNOLOGY IN SOCIETY
(2022)
Article
Education & Educational Research
Alessandro Avenali, Cinzia Daraio, Joanna Wolszczak-Derlacz
Summary: This study contributes to the limited literature on the determinants of non-academic staff incidence in higher education institutions by analyzing the relationship between the proportion of non-academic staff and key features such as size, prestige, year of foundation, and financial structure of universities. Through nonlinear regression analysis on data from European and American universities over a period of 6 years, the study finds that public and larger, research-oriented universities tend to have a higher proportion of non-academic staff. The study also identifies the impact of factors such as non-personnel expenditure, foundation year, and funding sources on the proportion of non-academic staff.
Article
Economics
Sabina Szymczak, Joanna Wolszczak-Derlacz
Summary: The relative GVC position is negatively correlated with wages and employment, while the effect of GVC participation depends on whether backward or forward linkages are considered. There is also heterogeneity across middle- vs high-income countries and manufacturing versus services sectors in terms of GVC involvement.
ECONOMIC SYSTEMS RESEARCH
(2022)
Article
Industrial Relations & Labor
Sabina Szymczak, Aleksandra Parteka, Joanna Wolszczak-Derlacz
Summary: This paper examines the relationship between the relative position of industries in Global Value Chains (GVC) and wages in 10 Central and Eastern European countries. The study finds that workers in these countries earn higher wages when their industries are at the beginning or end of the value chain, compared to being in the middle.
EUROPEAN JOURNAL OF INDUSTRIAL RELATIONS
(2022)
Article
Economics
Joanna Wolszczak-Derlacz, Dagmara Nikulin
Summary: This study examines wage inequality within and between firms in 12 European countries, finding that most wage inequality occurs within sectors and occupations, with the proportions of within- and between-firm components varying across countries. The results suggest that involvement in global value chains primarily affects wages through the between-firm component.
JOURNAL OF INTERNATIONAL TRADE & ECONOMIC DEVELOPMENT
(2022)
Article
Economics
Joanna Wolszczak-Derlacz, Yuxin Lu
Summary: This article explores the role of the One-Belt One-Road initiative in China's exports and global value chain. The findings suggest that there is a significant positive correlation between the initiative and China's export volume, domestic value-added trade, and the value contributed by partners. Among the various economic corridors, the Bangladesh-China-India-Myanmar, China-Pakistan, and China Indochina Peninsula corridors play a prominent role in promoting China's exports and strengthening the links of global value chains. However, the China-Mongolia-Russian Federation corridor harms China's export and domestic value-added trade.
EQUILIBRIUM-QUARTERLY JOURNAL OF ECONOMICS AND ECONOMIC POLICY
(2022)
Article
Business
Joanna Wolszczak-Derlacz, Dagmara Nikulin, Sabina Szymczak
Summary: This study examines the impact of wage bargaining schemes on the relationship between global value chains (GVCs) and workers' wages. The results show that under national and industry bargaining schemes, greater participation in GVCs is associated with lower wages, whereas no adverse impact is observed under enterprise bargaining schemes.
COMPETITION & CHANGE
(2023)
Article
Economics
Dagmara Nikulin, Joanna Wolszczak-Derlacz
Summary: This study examines the linkages between involvement in global value chains (GVCs) and gender wage inequalities. The findings suggest that workers from sectors more involved in GVCs tend to have lower wages. However, the relationship between GVCs and wages varies by gender, with women being more negatively affected by greater trade involvement.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2022)
Article
Business
Sabina Szymczak, Aleksandra Parteka, Joanna Wolszczak-Derlacz
Summary: This study examines the combined effects of foreign ownership and involvement in global value chains on the productivity performance of firms in Poland and Germany. The results show that domestically owned firms are less productive than foreign ones, especially at low levels of GVC participation. However, as GVC involvement increases, the productivity gap between foreign and domestically owned firms narrows. This study contributes to the FDI-productivity literature by comparing catching-up and developed countries and highlighting the importance of firm ownership in the productivity-GVC relationship.
INTERNATIONAL JOURNAL OF EMERGING MARKETS
(2023)
Article
Engineering, Industrial
Aleksandra Parteka, Aleksandra Kordalska
Summary: In this paper, we analyze the relationship between technological innovation in the artificial intelligence (AI) domain and macroeconomic productivity. Our estimates provide evidence in favor of the modern productivity paradox, showing that the development of AI technologies has a negligible role in the officially recorded productivity growth process. This result is robust to changes in the country sample, labor productivity quantification, empirical model specification, and estimation methods.
Article
Economics
Zuzanna Helena Zarach, Aleksandra Parteka
Summary: Low export diversification is a risk factor for countries dependent on natural resources as it limits the variety of non-resource exports. This study quantified the effect by analyzing export data from 160 countries from 1996 to 2018 and found that over 70% of low export diversification was driven by limited variety in non-resource products. Additionally, natural resource dependence, especially on fossil fuels, negatively correlated with diversification in technologically advanced non-resource products. Institutional quality was identified as a determining factor for resource exporters to achieve diversification.
ECONOMIC MODELLING
(2023)
Review
Business, Finance
Zuzanna Helena Zarach, Aleksandra Parteka
Summary: This paper compares two alternative growth paths – specialisation in natural resources and specialisation in technologically advanced products – and evaluates their effects on productivity. The empirical analysis, based on product-level export data from 109 developing and 51 developed economies between 1996 and 2018, identifies two distinct types of specialisation and examines their roles in labour productivity growth using GMM estimation. The findings show that while natural resource exports weakly slow down growth, the type of resources exported is crucial, with metals enhancing productivity catch-up and stimulating growth in developing countries. Technological specialisation, particularly in Fourth Industrial Revolution products, reinforces productivity growth but does not impact the relationship between natural resources and productivity growth.
Article
Economics
Dagmara Nikulin, Joanna Wolszczak-Derlacz
Summary: This study examines the link between GVC involvement and wages in Poland and finds that sectoral involvement in GVC does not have a significant relationship with wage levels, but workers covered by collective pay agreements receive higher wages.
ECONOMICS AND BUSINESS REVIEW
(2022)
Article
Economics
Dagmara Nikulin, Joanna Wolszczak-Derlacz, Aleksandra Parteka
Summary: The study found that participation in global value chains is negatively related to wages, with workers in more deeply involved sectors having lower and less stable earnings but are less likely to work overtime, indicating worse working conditions. The analysis of social implications of increasing involvement of countries in global production must compare wage effects of GVCs with other complex changes in workers' well-being.
WORK EMPLOYMENT AND SOCIETY
(2022)
