Can Circular Entrepreneurship Save the World Economy?

2021 ◽  
Vol 13 (3-2) ◽  
pp. 252-265
Author(s):  
Samrat Ray ◽  
Keyword(s):  
Causal Effect ◽  
Triple Line ◽  
Poverty Eradication ◽  
Life Cycle Assessments ◽  
Economy Model ◽  
Global Food Security ◽  
Management Scenario ◽  
Bottom Of Pyramid ◽  
Balanced Structure

Global polarization and linear economy models has for generations been the servant of ruthless capitalism and bourgeoisie ventures. In such ruthless circumstance there has been alarming situation both globally and locally to challenge prevailing linear economy structures to question and create a sustainable platform for protecting the resources and user structures of our future generations. Life cycle assessments globally has been a case study which has shown the minimal usage of products in value based propositions and bringing the environmental ecosystem in a balanced structure irrespective of political or governmental interventions. From the birth of the Paris Agreements on Climate changes, scientists and technologists globally has stressed upon the importance of sustainability and resilience on global food security as well as natural resource management. In such scenario resource allocations even in advanced countries like Europe and America has fallen prey to gross inequality, gender gaps and faulty resource transitions even in most advanced regions. Shocking Gini coefficient figures across boundaries have led scientists and economists globally to rethink and restrategise the way strategic business management hovers globally and to better revisualise globalization and utilize the resources our earth has endowed us upon. This paper challenges prevailing notions and even best practices in current management scenario and principles of economics of entrepreneurship to jump start a society based on values, tradition and value based usage proposition; in other terms from a linear based economy to a sustainable resilient circular economy model with greater emphasis on environmental protection, poverty eradication with better integration of triple line bottom of pyramid and better community disciplines to foster a vibrant shared economy model. There is a persistent gap lying across various parameters of a linear economy which has in turn been the causal effect of human impoverishment, poverty and vast scale ecological destructions. A case based approach and exploratory study in this research paper tries to answer rising question in addressing this burning topic of circular entrepreneurship which is quite different in structure and outcome to normative economical falsifications arising out of entrepreneurship models which has till now failed to create a functional economy devoid of hazards and wastes.

Causation between Gestational Diabetes Mellitus(GDM) and Pregnancy Induced Hypertension(PIH): A Statistic Case Study in Harbin, China

2021 ◽  
Author(s):  
Dan DIAO ◽  
DIAO Fang ◽  
XIAO Bin ◽  
Ning LIU ◽  
Fengjuan LI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Causal Effect ◽  
Pregnancy Induced Hypertension ◽  
Essential Information ◽  
Induced Hypertension ◽  
Inference Theory ◽  
Statistical Results

Abstract Both gestational diabetes mellitus(GDM) and pregnancy induced hypertension (PIH) would influence the gestation significantly. However, the causation between these two symptoms remains speculative. 16,404 pregnant women were identified in Harbin, China in this study. We investigated the evaluate the causal effect of GMD on PIH based on the statistic inference theory. The statistical results indicated that GDM might cause PIH. Also, this case study demonstrated that the decrease temperature might also cause hypertension during pregnancy, and the prevalence rate of GDM increased with age. However, the prevalence of diabetes did not show a remarkable difference in varied areas and ages. This study could provide some essential information that will help to investigate the mechanism for GDM and PIH.

Proposing a basic methodology for developing balanced scorecard by system dynamics approach

Kybernetes ◽  
2015 ◽  
Vol 44 (6/7) ◽  
pp. 1049-1066 ◽  
Author(s):  
Seyed Behnam Khakbaz ◽  
Nastaran Hajiheydari
Keyword(s):  
System Dynamics ◽  
Balanced Scorecard ◽  
Public Transportation ◽  
Time Delays ◽  
Scenario Planning ◽  
Content Type ◽  
Integrated Framework ◽  
Management Scenario ◽  
Transportation Company

Purpose – Successful future has inspired organizations to measure long-term and non-financial measurements and key performance indicators (KPIs). Kaplan and Norton proposed balanced scorecard (BSC) for this issue and have extended it to one of the most preferred strategic management system’s tools. However, available planning tools like BSC have some limitations, like dependency to the developer, weakness in showing time delays, and also mathematical relationships between lead and lag indicators. In this paper, the authors would present a new methodology for developing BSCs, which would be able to overcome these limitations. Therefore, the purpose of this paper is to develop an integrated framework for developing BSC with system dynamics approach (a dynamic BSC (DBSC)) which has lower limitation in compare with traditional BSC. The other purpose of this paper is developing a DBSC for an Iranian public transportation company. Design/methodology/approach – Based on this purpose, related literature was thoroughly reviewed and the proposed methodology designed using the system dynamics and BSC concepts. This methodology is a composition of original BSC development methodology and system dynamics principles. An assumed organization has been used for showing methodology’s capability and procedure. Furthermore, a case study has been accomplished in this paper. This case study is a DBSC which has been developed for an Iranian public transportation company. The purpose of this case study is to ensure about proposed methodology implication in action. Findings – The authors proposed a methodology which can be applied for developing BSCs. This methodology consists of six different steps which are: developing a system for organization, selecting stakeholders’ most important objectives and target, identifying organization’s objectives and their KPIs for different BSC aspects, developing strategy map, targeting, and selecting initiatives. In the proceeding of this paper, the proposed methodology and its steps would be explained in detail. Originality/value – The system dynamic approach has precedents in business studies; however, this research makes this approach operational in BSC designing and analysis. BSCs, which developed by this methodology can show time delays between an organization’s objectives, its KPIs’ relationship and also planning for it. Selecting achievable and rational vision and objectives’ targets, change management, scenario planning and policy analysis are other values which can be achieved by DBSC deployment which need further researches. In summary, this research has shown an integrated framework for developing DBSC and then applies it to an Iranian public transportation company. Therefore, another contribution of this paper is the application of this method for an Iranian public transportation company.

scholarly journals Women's Participation in the Australian Digital Content Industry

2014 ◽  
pp. 125-142
Author(s):  
Anitza Geneve
Keyword(s):  
Agency Theory ◽  
Empirical Data ◽  
Causal Effect ◽  
Digital Content ◽  
Women's Participation ◽  
Digital Content Industry ◽  
Australian Case ◽  
The Rich ◽  
Insight Into

There is a need to understand the phenomenon of women's under-representation in the Australian Digital Content Industry (DCI) workforce. This chapter presents the findings from an Australian case study where both women working in the industry and industry stakeholders were interviewed for their insight into the influences on women's participation. The rich empirical data and findings from the case study are interpreted using the Acts of Agency theory—an original theory by the author of this chapter. As the chapter reveals there are five ‘Acts of Agency' (containing 10 agent-driven mechanisms) identified as influencing women's participation. Agent-driven mechanisms recognise the causal effect of people themselves; that is, the role individuals play in their participation.

Shanghai's E-Government

2011 ◽  
pp. 282-304
Author(s):  
Hongmin Chen ◽  
Qing Zhang
Keyword(s):  
Developing Countries ◽  
Social Security ◽  
Market Economy ◽  
Implementation Strategies ◽  
The Other ◽  
Economy Model ◽  
Card System ◽  
Near Future ◽  
Implementation Experience

This chapter will present and discuss some successful experience of Shanghai’s e-government strategies and implementation from the perspective of a developing country. A case study of Social Security Card System (SSCS) in Shanghai will be conducted to further illustrate Shanghai’s e-government strategies and implementation experience. Differences of e-government implementation strategies between China and USA are identified and discussed, which may provide some useful insights to the other developing countries, especially to those developing countries that are under the process of transiting to the “market economy” model when implementing e-government in the near future.

scholarly journals An interaction regression model for crop yield prediction

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Javad Ansarifar ◽  
Lizhi Wang ◽  
Sotirios V. Archontoulis
Keyword(s):  
Machine Learning ◽  
Regression Model ◽  
Crop Yield ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
Yield Prediction ◽  
Soybean Yield ◽  
Global Food Security ◽  
Management Scenario ◽  
Complex Interactions

AbstractCrop yield prediction is crucial for global food security yet notoriously challenging due to multitudinous factors that jointly determine the yield, including genotype, environment, management, and their complex interactions. Integrating the power of optimization, machine learning, and agronomic insight, we present a new predictive model (referred to as the interaction regression model) for crop yield prediction, which has three salient properties. First, it achieved a relative root mean square error of 8% or less in three Midwest states (Illinois, Indiana, and Iowa) in the US for both corn and soybean yield prediction, outperforming state-of-the-art machine learning algorithms. Second, it identified about a dozen environment by management interactions for corn and soybean yield, some of which are consistent with conventional agronomic knowledge whereas some others interactions require additional analysis or experiment to prove or disprove. Third, it quantitatively dissected crop yield into contributions from weather, soil, management, and their interactions, allowing agronomists to pinpoint the factors that favorably or unfavorably affect the yield of a given location under a given weather and management scenario. The most significant contribution of the new prediction model is its capability to produce accurate prediction and explainable insights simultaneously. This was achieved by training the algorithm to select features and interactions that are spatially and temporally robust to balance prediction accuracy for the training data and generalizability to the test data.

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