Global Journal of Flexible Systems Management最新文献_第4页

Enablers of ‘Creating Shared Value’: A Total Interpretive Structural Modeling–Polarity Approach “创造共享价值”的推动者：一种全面的解释性结构建模——极性方法

Global Journal of Flexible Systems Management Pub Date : 2023-04-19 DOI: 10.1007/s40171-023-00340-5

Shekhar, Debadyuti Das

引用次数: 0

Manufacturing Flexibility through Industry 4.0 Technological Concepts—Impact and Assessment 工业4.0技术概念对制造灵活性的影响与评估

Global Journal of Flexible Systems Management Pub Date : 2023-04-13 DOI: 10.1007/s40171-023-00339-y

Kristina Höse, A. Amaral, U. Götze, P. Peças

引用次数: 4

Organisational Flexibility and Innovation Performance: The Moderating Role of Management Support 组织灵活性与创新绩效:管理支持的调节作用

Global Journal of Flexible Systems Management Pub Date : 2023-03-06 DOI: 10.1007/s40171-023-00336-1

Bernardo De la Gala-Velásquez, Américo Hurtado-Palomino, Angela Y. Arredondo-Salas

引用次数: 5

Role of Emerging Technologies in Accounting Information Systems for Achieving Strategic Flexibility through Decision-Making Performance: An Exploratory Study Based on North American and South American Firms 新兴技术在会计信息系统中通过决策绩效实现战略灵活性的作用:基于北美和南美公司的探索性研究

Global Journal of Flexible Systems Management Pub Date : 2023-01-13 DOI: 10.1007/s40171-022-00334-9

Adilson Carlos Yoshikuni, Rajeev Dwivedi, Ronaldo Gomes Dultra-de-Lima, Cláudio Parisi, José Carlos Tiomatsu Oyadomari

引用次数: 15

Demand and Supply Disruptions During the Covid-19 Crisis on Firm Productivity. 新冠肺炎危机期间对企业生产力的需求和供应中断。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2022-12-05 DOI: 10.1007/s40171-022-00324-x

Fakhrul Hasan, Mary Fiona Ross Bellenstedt, Mohammad Raijul Islam

引用次数: 0

The Consequences of COVID-19 Disruption on Sustainable Economy in the Top 30 High-Tech Innovative Countries. 新冠肺炎疫情对30个高技术创新型国家可持续经济的影响。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2023-04-03 DOI: 10.1007/s40171-023-00338-z

Muhammad Ikram, Youssef Sayagh

{"title":"The Consequences of COVID-19 Disruption on Sustainable Economy in the Top 30 High-Tech Innovative Countries.","authors":"Muhammad Ikram, Youssef Sayagh","doi":"10.1007/s40171-023-00338-z","DOIUrl":"10.1007/s40171-023-00338-z","url":null,"abstract":"This study aims to investigate the effects of the COVID-19 pandemic on the innovation index, Gross Domestic Product (GDP), high technology exports, and human development (HDI) in the world's leading 30 high-tech innovative countries. Using grey relational analysis models, the association between COVID-19 and other economic development indices was investigated. The model selects the country least affected by the pandemic from the top 30 innovative countries through a conservative (maximin) method based on grey association values. Data was collected from World Bank databases and analyzed to compare pre- and post-COVID-19 periods (2019, 2020). The outcomes of this study provide essential recommendations for industries and decision-makers with suitable action plans to preserve economic systems from further harm caused by the global COVID-19 outbreak. The ultimate goal is to boost the innovation index, GDP, high-tech exports, and HDI of high-tech economies and pave the way for a sustainable economy. To the author's knowledge, this is the first study to develop a multidimensional framework to assess COVID-19's impact on the sustainable economy of top 30 high-tech innovative countries, and to conduct a comparative analysis to identify the strong and weak effects of COVID-19 on sustainable economic growth.","PeriodicalId":34933,"journal":{"name":"Global Journal of Flexible Systems Management","volume":"24 2","pages":"247-269"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9414235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flexible Green Supply Chain Management in Emerging Economies: A Systematic Literature Review. 新兴经济体的柔性绿色供应链管理：系统文献综述。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2022-11-04 DOI: 10.1007/s40171-022-00321-0

M K Dhillon, P M Rafi-Ul-Shan, H Amar, F Sher, S Ahmed

{"title":"Flexible Green Supply Chain Management in Emerging Economies: A Systematic Literature Review.","authors":"M K Dhillon, P M Rafi-Ul-Shan, H Amar, F Sher, S Ahmed","doi":"10.1007/s40171-022-00321-0","DOIUrl":"10.1007/s40171-022-00321-0","url":null,"abstract":"The purpose of this research is to synthesize the fragmented extant knowledge on flexible and green supply chain management (FGSCM) in the context of emerging economies and to unearth research gaps to motivate future research. We adopted a novel structured systematic literature review by triangulating a systematic literature review, text mining, and network analysis. Institutional theory and contingency theory were employed to analyze the results of the review. The results show that, firstly, research on FGSCM in emerging economies, despite its importance, is immature compared to general FGSCM literature. Second, the specificities of strategies and practices that distinguish this topic in emerging economies are discussed and the drivers and barriers are identified with respect to sources of institutional pressure. Third, a research framework for FGSCM in emerging economies is developed and 12 gaps for future research are identified. This study has exclusively developed a research framework for FGSCM in an emerging economy which has received the least consideration in the literature and practice. The framework was developed to synthesize the existing literature and to identify the research gaps to inspire future research.","PeriodicalId":34933,"journal":{"name":"Global Journal of Flexible Systems Management","volume":"24 1","pages":"1-28"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10284261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak. 基于规范分析的 SIRM 模型用于预测 Covid-19 爆发。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2023-03-17 DOI: 10.1007/s40171-023-00337-0

Jamal Al Qundus, Shivam Gupta, Hesham Abusaimeh, Silvio Peikert, Adrian Paschke

{"title":"Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.","authors":"Jamal Al Qundus, Shivam Gupta, Hesham Abusaimeh, Silvio Peikert, Adrian Paschke","doi":"10.1007/s40171-023-00337-0","DOIUrl":"10.1007/s40171-023-00337-0","url":null,"abstract":"Predicting the outbreak of a pandemic is an important measure in order to help saving people lives threatened by Covid-19. Having information about the possible spread of the pandemic, authorities and people can make better decisions. For example, such analyses help developing better strategies for distributing vaccines and medicines. This paper has modified the original Susceptible-Infectious-Recovered (SIR) model to Susceptible-Immune-Infected-Recovered (SIRM) which includes the Immunity ratio as a parameter to enhance the prediction of the pandemic. SIR is a widely used model to predict the spread of a pandemic. Many types of pandemics imply many variants of the SIR models which make it very difficult to find out the best model that matches the running pandemic. The simulation of this paper used the published data about the spread of the pandemic in order to examine our new SIRM. The results showed clearly that our new SIRM covering the aspects of vaccine and medicine is an appropriate model to predict the behavior of the pandemic.","PeriodicalId":34933,"journal":{"name":"Global Journal of Flexible Systems Management","volume":"24 2","pages":"235-246"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9711673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities. COVID-19后中小企业的IT能力、战略灵活性和组织弹性：大数据分析能力的中介和调节作用。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2022-12-14 DOI: 10.1007/s40171-022-00327-8

Ragmoun Wided

{"title":"IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities.","authors":"Ragmoun Wided","doi":"10.1007/s40171-022-00327-8","DOIUrl":"10.1007/s40171-022-00327-8","url":null,"abstract":"This research provides a novel progression to the existing research about big data analytics capabilities (BDAC) by investigating and measuring its influence on organizational resilience and strategic flexibility. Toward that end, 400 different SMEs in Saudi Arabia were approached. Data were collected via questionnaire. Results confirm that the ability to handle big data analytics totally mediates the relationship between IT capabilities and strategic flexibility. Big data infrastructure flexibility has a negative effect on strategic flexibility. Big data personal expertise not only negatively affects the relationship between IT capabilities and strategic flexibility but also stimulates and reinforces the relationship between strategic flexibility and organizational resilience. The critical pathway developed and tested the trend to make the organization as an immune system able to make the best of the worst. This implies the urgent need for policymakers and managers to adopt and comprehend the concept of BDAC instead of IT capabilities to define oriented plans specifically formulated for stimulating strategic flexibility and organizational resilience. By adopting the proposed model, SMEs can interact more effectively internally and externally.","PeriodicalId":34933,"journal":{"name":"Global Journal of Flexible Systems Management","volume":"24 1","pages":"123-142"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749648/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10281433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India. 模拟印度中央邦的 COVID-19 疫苗接种活动。

Global Journal of Flexible Systems Management Pub Date : 2023-01-01 Epub Date: 2022-12-14 DOI: 10.1007/s40171-022-00326-9

Priyanka Das, Santosh Shukla, Ashwin Bhagwat, Saurabh Purohit, Sanjay Dhir, Sushil, Harkabir Singh Jandu, Meenal Kukreja, Nitin Kothari, Saurabh Sharma, Shyamashree Das, Gunjan Taneja, Raj Shankar Ghosh

{"title":"Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India.","authors":"Priyanka Das, Santosh Shukla, Ashwin Bhagwat, Saurabh Purohit, Sanjay Dhir, Sushil, Harkabir Singh Jandu, Meenal Kukreja, Nitin Kothari, Saurabh Sharma, Shyamashree Das, Gunjan Taneja, Raj Shankar Ghosh","doi":"10.1007/s40171-022-00326-9","DOIUrl":"10.1007/s40171-022-00326-9","url":null,"abstract":"COVID-19 vaccination campaigns have been launched across the globe to mitigate the impact of the COVID-19 disease. However, COVID-19 vaccination campaigns (Vaccination campaigns are the complete process of COVID-19 vaccination campaigns beyond just administrating vaccines.) are a complex multi-stakeholder process, and therefore, it is important to understand the key components and drivers of vaccination campaigns to help devise strategies to increase vaccination coverage for existing and future vaccination efforts. A system dynamics modeling approach was used to trace the vaccination campaign for the Indian state of Madhya Pradesh. The results identified the key stakeholders of the vaccination campaign and their inter-linkages, and the diverse perspectives of stakeholders of vaccination campaigns in Madhya Pradesh were collated in a structured format. Further, system dynamics models were developed to capture all aspects of the vaccination campaign in Madhya Pradesh, including the challenges and innovations. The outcomes of the study can assist academicians, practitioners, and policymakers develop vaccination programs at sub-national, national, and global levels. They will guide decision-makers to take preemptive measures to mitigate possible risks and challenges and provide improved services as part of vaccination campaigns.Supplementary information: The online version contains supplementary material available at 10.1007/s40171-022-00326-9.","PeriodicalId":34933,"journal":{"name":"Global Journal of Flexible Systems Management","volume":"24 1","pages":"143-161"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750055/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10628118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0