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Journal articles on the topic 'Cross impact analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Porter, Alan, and Huaidong Xu. "Cross-impact analysis." Project Appraisal 5, no. 3 (1990): 186–88. http://dx.doi.org/10.1080/02688867.1990.9726770.

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2

Thorleuchter, Dirk, and Dirk Van den Poel. "Semantic compared cross impact analysis." Expert Systems with Applications 41, no. 7 (2014): 3477–83. http://dx.doi.org/10.1016/j.eswa.2013.10.051.

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3

Weimer-Jehle, Wolfgang. "Cross-impact balances: A system-theoretical approach to cross-impact analysis." Technological Forecasting and Social Change 73, no. 4 (2006): 334–61. http://dx.doi.org/10.1016/j.techfore.2005.06.005.

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4

Mary Oluwatoyin, Agboola. "Impact of food availability on child mortality: a cross country comparative analysis." Agricultural Economics (Zemědělská ekonomika) 63, No. 6 (2017): 283–97. http://dx.doi.org/10.17221/333/2015-agricecon.

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The study examined the impact of food security on child mortality (infant mortality and under-five mortality), using a dynamic panel data analysis for 114 countries for the period 1995–2009 by considering a wide range of controlled variables such as income, social indicators and policy variables. The result suggests that food security has a negative impact on child mortality for all countries and even more impact on child mortality within the food insecure African countries. Therefore, based on the findings of the study; it is recommended that an increase in food security is indeed a positive

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5

Moutinho, Dr Luiz, and Dr Stephen F. Witt. "Application of Cross-Impact Analysis in Tourism:." Journal of Travel & Tourism Marketing 3, no. 1 (1994): 83–96. http://dx.doi.org/10.1300/j073v03n01_05.

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6

Mariconda, Simone, and Francesco Lurati. "Stakeholder cross-impact analysis: a segmentation method." Corporate Communications: An International Journal 20, no. 3 (2015): 276–90. http://dx.doi.org/10.1108/ccij-07-2014-0041.

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Purpose – The purpose of this paper is to introduce a method that the authors call stakeholder cross-impact analysis (SCIA), which is aimed at analyzing how a given set of stakeholders influence one another and also how such stakeholders relate to a given set of issues. Design/methodology/approach – The authors first identify, in the current literature, a lack of analytical tools for assessing mutual influences among stakeholders. The authors then identify cross-impact analysis, a method that was initially developed in the field of futures research, as a suitable method to be applied in the pr

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7

Očka, I. "Graphs and Hypergraphs in Cross-Impact Analysis." IFAC Proceedings Volumes 19, no. 10 (1986): 427–34. http://dx.doi.org/10.1016/s1474-6670(17)59704-9.

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8

Serdar Asan, Seyda, and Umut Asan. "Qualitative cross-impact analysis with time consideration." Technological Forecasting and Social Change 74, no. 5 (2007): 627–44. http://dx.doi.org/10.1016/j.techfore.2006.05.011.

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9

Karlan, Dean, and Gwendolyn Alexander Tedeschi. "Cross-Sectional Impact Analysis: Bias from Dropouts." Perspectives on Global Development and Technology 9, no. 3-4 (2010): 270–91. http://dx.doi.org/10.1163/156914910x499714.

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10

Banerjee, Souvik, Amarnath Mitra, and Debaditya Mohanti. "Leverage and corporate investment – a cross country analysis." Investment Management and Financial Innovations 20, no. 3 (2023): 126–36. http://dx.doi.org/10.21511/imfi.20(3).2023.11.

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The paper examines the impact of a firm’s financial leverage on its investment decisions in the period 2011–2019, which occurred between two financial crises (2008–2010 and 2020–2022) and was globally marked by low interest rates and high leverage. The study focuses on non-financial listed firms in world’s top 13 largest economies consisting of 11 OECD+ countries and two emerging nations. The analysis explores the relationship between firm leverage and investment decisions, considering the growth opportunities and corporate risks of the firms, as well as the type of economy they operate in. Th

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11

Yang, Xu Dong, Liang Liang Jin, Jia Chun Li, Zhi Qiang Jin, and Jin Zhao. "Dynamic Analysis of Cross Simulator." Applied Mechanics and Materials 52-54 (March 2011): 1698–702. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1698.

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The finite element model of cross simulator including supporting structure, beam, etc. was set up in the environment of ABAQUS. After the static analysis which meets the requirements, the model’s dynamic characteristics when bearing impact load was obtained using explicit method according to modal analysis results. Comparing different analysis results with technical index, it indicates that larger impact load makes the dynamic characteristics worse significantly.

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12

Swain, James J., Troy Halverson, Frederick A. Rossini, Alan L. Porter, and Huaidong Xu. "MARKOV FORMULATION OF CROSS-IMPACT ANALYSIS FOR IMPACT ASSESSMENT AND FORECASTING." Impact Assessment 9, no. 3 (1991): 55–74. http://dx.doi.org/10.1080/07349165.1991.9725718.

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Amin, Sidra Imran. "IMPACT OF TARIFF ON INCOME: CROSS COUNTRY ANALYSIS." Journal of Independent Studies and Research-Management, Social Sciences and Economics 17, no. 1 (2019): 215–27. http://dx.doi.org/10.31384/jisrmsse/2019.17.1.13.

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14

Alarcón, Luis F., and David B. Ashley. "Project management decision making using cross-impact analysis." International Journal of Project Management 16, no. 3 (1998): 145–52. http://dx.doi.org/10.1016/s0263-7863(97)00045-8.

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15

Asan, Umut, Cafer Erhan Bozdağ, and Seçkin Polat. "A fuzzy approach to qualitative cross impact analysis." Omega 32, no. 6 (2004): 443–58. http://dx.doi.org/10.1016/j.omega.2004.02.006.

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16

Bañuls, Víctor A., and Murray Turoff. "Scenario construction via Delphi and cross-impact analysis." Technological Forecasting and Social Change 78, no. 9 (2011): 1579–602. http://dx.doi.org/10.1016/j.techfore.2011.03.014.

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17

YASTREMSKYI, Oleksandr. "Institutions impact on nation’s welfare: cross-countries analysis." Fìnansi Ukraïni 2018, no. 1 (2018): 62–71. http://dx.doi.org/10.33763/finukr2018.01.062.

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18

DiRienzo, Cassandra E., Jayoti Das, and John Burbridge. "Does diversity impact competitiveness? A cross country analysis." Competitiveness Review 17, no. 3 (2007): 135–52. http://dx.doi.org/10.1108/10595420710833543.

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19

Thorleuchter, Dirk, and Dirk Van den Poel. "Quantitative cross impact analysis with latent semantic indexing." Expert Systems with Applications 41, no. 2 (2014): 406–11. http://dx.doi.org/10.1016/j.eswa.2013.07.066.

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20

Sushil, Kumar, and Bhatt Praveen. "Partial ionization cross sections of Silicon by Electron impact Ionization process." Indian Journal of Science and Technology 14, no. 2 (2021): 181–89. https://doi.org/10.17485/IJST/v14i2.1893.

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Abstract <strong>Abstract:</strong>Electron-impact single-ionization cross sections of Si by electron impact have been solved theoretically for the full range of kinematics and collision geometries of practical interest by S.P. Khare theoretical model. The corresponding partial and total ionization cross sections have also been derived in the energy range varying from ionization thresholds to 6000 eV. Comparison of the evaluated partial and total ionization cross sections is made with the experimental and theoretical data wherever available. <strong>Objective:</strong>Our objective is to

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21

Chandra, Bhawesh. "Demonetisation: A Cross Analysis of its Impact in India." RESEARCH REVIEW International Journal of Multidisciplinary 5, no. 11 (2020): 156–59. http://dx.doi.org/10.31305/rrijm.2020.v05.i11.031.

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22

Pawera, René, Lívia Bott Domonkos, and Richard Hakszer. "Impact Analysis of Slovak- Hungarian Cross Border Cooperation Projects." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 3, no. 3 (2017): 7–16. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.33.1001.

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Cooperation is the key to a better Europe. European Union supports territorial cooperation between border-regions, especially in the border settlements. Border regions, towns and districts promote cooperation as a tool for growth and change through policy development and strategic orientation within territorial cooperation and beyond regional development. Regional disparities in Slovakia are actually the highest among EU countries and the Cohesion policy tries to balance with European standards. The aim of the study is to analyze the impact of projects on disparity and economic growth in borde

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23

Benzaquen, M., I. Mastromatteo, Z. Eisler, and J.-P. Bouchaud. "Dissecting cross-impact on stock markets: an empirical analysis." Journal of Statistical Mechanics: Theory and Experiment 2017, no. 2 (2017): 023406. http://dx.doi.org/10.1088/1742-5468/aa53f7.

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24

Muccha, Karthik. "REVOLUTIONIZING CROSS-BORDER PAYMENTS: TECHNICAL ANALYSIS AND MARKET IMPACT." INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY 16, no. 1 (2025): 3394–409. https://doi.org/10.34218/ijcet_16_01_236.

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25

Ganesh Bollina. "Transformative impact of salesforce CPQ: A cross-industry analysis." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1410–17. https://doi.org/10.30574/wjaets.2025.15.3.1069.

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This article examines the implementation and impact of Salesforce Configure, Price, Quote (CPQ) solutions across diverse industries. Through analysis of five case studies spanning video telematics, healthcare equipment, technology, renewable energy, and Software as a Service sectors, this article identifies key patterns of transformation in sales processes, operational efficiency, and business outcomes. The article reveals critical success factors, including appropriate implementation partner selection, balanced customization versus standardization approaches, and thoughtful integration with e

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26

Sommer, Jamie M. "Corrupt Actions and Forest Loss: A Cross-National Analysis." International Journal of Social Science Studies 6, no. 10 (2018): 23. http://dx.doi.org/10.11114/ijsss.v6i10.3534.

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Extant literature documents the negative environmental impacts of corruption on forest loss. More recently, research has shown that both grand and petty corruption are associated with higher levels of forest loss in low- and middle-income nations. However, the extant research neglects to assess how different types of grand and petty corruption impact forest loss. To address the gap in the literature, this article differentiates the effect of various types of corrupt actions on forest loss. Ordinary Least Squares (OLS) regression for a sample of 87 low- and middle-income nations from 2000 is us

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27

Zureck, Alexander, Julius Reiter, and Martin Svoboda. "Cross-Generational Investment Behavior and the Impact on Personal Finance." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 2 (2018): 16–18. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.32.3002.

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The purpose of this paper is to investigate socio-economic development condition and convergence evaluation in the EU-28 states in the context of the EU policy goals. The aim of this research is to estimate socioeconomic disparities and convergence problems in the European states by applying real valuations of well-being situations and economic development challenges in the EU member states. The research methodology is based on the European Commission legitimate documents application and socio-economic strategies, on the convergence theory and convergence scenario calculations along with socio

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28

Karki Nepal, Apsara, and Mani Nepal. "Impact of Biodiversity on International Tourism: A Cross Country Analysis." Economic Journal of Nepal 35, no. 1 (2012): 1–11. http://dx.doi.org/10.3126/ejon.v35i1.13408.

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Using cross country data from 134 countries around the world, this research investigates the impact of biodiversity on tourist arrivals and earnings from the international tourism. Our results indicate that the biodiversity index is a significant determinant of the international tourist arrivals and earnings from international tourism. The access to the Internet is equally important for attracting international tourists in a country. These results remain robust when we include lagged value of biodiversity index. The Economic Journal of Nepal, Vol. 35, No. 1, January-March 2012 (Issue N0. 137)

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29

Menck, Nicole, Christian Weidig, and Jan C. Aurich. "Approach for Predicting Production Scenarios Focused on Cross Impact Analysis." Procedia CIRP 17 (2014): 493–98. http://dx.doi.org/10.1016/j.procir.2014.01.103.

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30

Villacorta, Pablo J., Antonio D. Masegosa, Dagoberto Castellanos, and Maria T. Lamata. "A new fuzzy linguistic approach to qualitative Cross Impact Analysis." Applied Soft Computing 24 (November 2014): 19–30. http://dx.doi.org/10.1016/j.asoc.2014.06.025.

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31

Kartseva, M. A., N. V. Mkrtchyan, and Yu F. Florinskaya. "Migration in Russia and Regional Socioeconomic Development: Cross-Impact Analysis." Studies on Russian Economic Development 31, no. 4 (2020): 421–29. http://dx.doi.org/10.1134/s1075700720040085.

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32

Topka, V. V. "The Cross-Impact Analysis of Innovative Projects in a Portfolio." Journal of Computer and Systems Sciences International 58, no. 5 (2019): 736–46. http://dx.doi.org/10.1134/s1064230719050149.

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33

Đorđević, Biljana, Sandra Milanović Zbiljić, and Marija Radosavljević. "Impact of the Digital Skills on Employability: Cross-Sectional Analysis." Economies 13, no. 7 (2025): 196. https://doi.org/10.3390/economies13070196.

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Digital skills are increasingly vital for enhancing employability, as they equip individuals to meet the evolving demands of the modern workforce. Therefore, this paper examines the impact of digital skills on employability, focusing on the influence of both basic and above-basic levels of information and data literacy, communication and collaboration, problem-solving, digital content creation, and safety skills, considered key components of digital competence. The research employs regression analysis using secondary data extracted from the Eurostat database. Based on data from 32 European cou

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34

Jiao, Xiao Juan, and Jian Min Ma. "The Analysis of Longitudinal Impact Response for Variable Cross-Section Rod." Key Engineering Materials 693 (May 2016): 504–10. http://dx.doi.org/10.4028/www.scientific.net/kem.693.504.

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s The longitudinal impact between rigid body and variable cross-section elastic rod with fixed boundary condition was studied, the velocity and stress distribution law during 1st impact wave period was derived for the variable cross-section rod, the influence of cross-section change rate on rod response was discussed. Some examples calculations were carried on, It is shown that the cross-section change rate is a significant influencing factor for the velocity and stress distribution in the rod during impact.

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35

Akhmedov, Akbarali, and Umidjon Duskobilov. "Effect of Bank Assets Securitization in Investment Flows: A Cross-Country Analysis." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 5, no. 4 (2019): 13–17. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.54.1002.

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In modern financial architecture, banks actively engage in financial market operations to ensure the stability and efficiency of their activities. The latest trends in banking sector highlight the active role commercial banks play by securing their assets in securitization practices. The lessons from the global financial crisis show that securitization is one of the main methods for securing the soundness of bank assets as an investment tool. This paper investigates the impact of bank assets securitization on investment flows in 30 advanced and transition economies by applying GMM method. The

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36

Vizayakumar, K., and P. K. J. Mohapatra. "An Approach to Environmental Impact Assessment by Using Cross Impact Simulation." Environment and Planning A: Economy and Space 21, no. 6 (1989): 831–37. http://dx.doi.org/10.1068/a210831.

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KSIM, a qualitative approach to cross impact simulation, is used to simulate a complex environmental system. Several policies concerned with issues such as health care, pollution control, pollution taxes, and the restricted use of technology, are tested with a real-world macromodel by generating the future scenarios. In this paper, the utility of KSIM for environmental impact analysis is exhibited.

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37

Fakhrunnas, Faaza, and Katiya Nahda. "The impact of management performance on risk-taking behavior in a dual banking system: A cross-country analysis." Banks and Bank Systems 18, no. 4 (2023): 116–28. http://dx.doi.org/10.21511/bbs.18(4).2023.11.

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In an era defined by global economic uncertainty, the role of management performance in influencing bank risk-taking has become pivotal. This urgency stems from the evolving dynamics of the banking sector and the need for robust risk management strategies. This study investigates the relationship between management performance and banks’ risk-taking behavior, drawing data from 248 banks across eight countries comprising Indonesia, Malaysia, Bangladesh, Pakistan, Saudi Arabia, Oman, Bahrain, and the United Arab Emirates spanning 2013–2021 using panel data analysis. The study reveals that manage

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38

Wang, Xiaoduo. "Psychological Painting Analysis in Cross-Cultural Research Context." Journal of Education and Educational Research 9, no. 1 (2024): 266–69. http://dx.doi.org/10.54097/47b2q774.

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Psychological painting is a common method of psychological analysis and healing, which can help testers understand the psychological state of the subjects and provide more targeted psychological services. However, practice has shown that different cultural backgrounds may have an impact on the habits and outcomes of psychological drawing among subjects. Therefore, it is necessary to analyze the various differences in drawing among subjects in different cultural environments in a cross-cultural context, in order to enhance the pertinence of relevant psychological counseling services. Based on t

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39

Pakula, Anton, and Vladimir Garmash. "Analysis of the impact of cross-platform behaviour on recommendation quality." Information Technology and Computer Engineering 22, no. 1 (2025): 30–41. https://doi.org/10.63341/vitce/1.2025.30.

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The rapid growth in the number of digital platforms and the diversity of online services create new challenges for the development of recommender systems that must factor in cross-platform user behaviour to ensure the accuracy and privacy of recommendations. The purpose of this study was to determine how combining cross-platform behavioural data can improve the accuracy of recommender systems. To this end, the study analysed modern machine learning algorithms and Big Data processing methods that enable the efficient integration of information from various sources. The study used clustering and

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40

Meera, Sushil Kumar* Hanna Rahman Sarath Rajendran. "Patterns of Usage, Disposal, and Environmental Impact of Expired Medications: A Cross-Sectional Analysis." International Journal of Pharmaceutical Sciences 2, no. 11 (2024): 1566–68. https://doi.org/10.5281/zenodo.14235952.

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Expired medications, when misused or improperly disposed of, pose significant risks to human health and the environment. This study investigates the storage, usage, and disposal patterns of expired drugs among 122 participants and evaluates the chemical stability and microbiological safety of selected medications beyond their expiration dates. Survey data revealed inadequate awareness of proper disposal methods, with 72.28% of participants discarding expired drugs in regular trash. Laboratory analysis demonstrated significant declines in chemical potency and antimicrobial activity in expired p

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41

Adams, Daniel. "The Impact of Leadership on Absorptive Capacity: A Cross-Cultural Analysis." Academy of Management Proceedings 2013, no. 1 (2013): 13691. http://dx.doi.org/10.5465/ambpp.2013.13691abstract.

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42

Tenytska, Iryna, and Maksym Palienko. "Environmental Taxes Impact on the Population Health Protection: Cross-Country Analysis." Health Economics and Management Review 2, no. 4 (2021): 78–86. http://dx.doi.org/10.21272/hem.2021.4-08.

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With each passing year, solving the demographic problem and the problem of population health is becoming more urgent, posing new challenges to politicians, producers and society. It has been proven that a person who cares about the quality of food, monitors the daily needs of vitamins and trace elements, consumes clean water, lives in an environmentally friendly area (away from industrial enterprises) is healthier than those who are unscrupulous in these aspects. The consequences of carelessness in health are the emergence of chronic diseases, the development of diabetes, obesity, cardiovascul

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43

khademi Jolgeh Nejad, Afsaneh, Reza Ahmadi Kahnali, and Ali Heyrani. "Developing Hospital Resilient Supply Chain Scenario through Cross-Impact Analysis Method." Depiction of Health 12, no. 4 (2021): 310–19. http://dx.doi.org/10.34172/doh.2021.30.

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Background and Objectives The hospital and its supply chain must be resilient in the critical situations. Developing scenario is an important tool for planning and decision-making process in these situations. Therefore, this study intended to develop possible scenarios for hospital supply chain resilience. Material and Methods This research study is applied in terms of purpose and is based the scenario method and the probabilistic trends approach. The participants of the study were 14 experts from two hospitals who were selected through a purposeful sampling method. The data obtained in the fi

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44

Malhotra, Gunjan. "Impact of socio-economic factors on deforestation rate: cross country analysis." International Journal of Business Environment 4, no. 3 (2011): 287. http://dx.doi.org/10.1504/ijbe.2011.041597.

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45

Zheng, Yueping. "The impact of E-participation on corruption: a cross-country analysis." International Review of Public Administration 21, no. 2 (2016): 91–103. http://dx.doi.org/10.1080/12294659.2016.1186457.

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46

Heinrich, Robert, Sandro Koch, Suhyun Cha, Kiana Busch, Ralf Reussner, and Birgit Vogel-Heuser. "Architecture-based change impact analysis in cross-disciplinary automated production systems." Journal of Systems and Software 146 (December 2018): 167–85. http://dx.doi.org/10.1016/j.jss.2018.08.058.

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47

Panula-Ontto, J., and K. A. Piirainen. "EXIT: An alternative approach for structural cross-impact modeling and analysis." Technological Forecasting and Social Change 137 (December 2018): 89–100. http://dx.doi.org/10.1016/j.techfore.2018.06.046.

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Chen, Kun-Ming, Meng-Chia Tsai, Chia-Ching Lin, and Chaw-hsia Tu. "Impact of Cross-Strait Trade Liberalization: A Computable General Equilibrium Analysis." China & World Economy 17, no. 6 (2009): 106–22. http://dx.doi.org/10.1111/j.1749-124x.2009.01176.x.

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49

Shabir, Mohsin, Ping Jiang, Wenhao Wang, and Özcan Işık. "COVID-19 pandemic impact on banking sector: A cross-country analysis." Journal of Multinational Financial Management 67 (March 2023): 100784. http://dx.doi.org/10.1016/j.mulfin.2023.100784.

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50

Saralaya, Sridevi, Vishwas Saralaya, and Rio D’Souza. "Cross-layer impact analysis and adaptation of hierarchical service-based applications." Service Oriented Computing and Applications 14, no. 1 (2020): 49–63. http://dx.doi.org/10.1007/s11761-019-00282-w.

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