scholarly journals Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology–Organization–Environment Framework

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110545
Author(s):  
Shuangying Chen ◽  
Qiyue Li ◽  
Bo Lei ◽  
Na Wang

The purpose of this study was to examine the combinations of factors driving the digital economy and their configurational pathways, based on the Technology–Organization–Environment (TOE) framework. Using data on 31 Chinese provinces, the study integrated the TOE framework with Fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the digital economy. The results indicate that (a) firms’ digital competence is a necessary condition for the development of the digital economy; (b) four pathways drive high levels of digital economic development and three pathways lead to low levels of digital economic development; and (c) these pathways indicate asymmetry between high and low levels of digital economic development. The findings enhance understanding of the complex interactions of multiple factors driving the digital economy. They also yield policy recommendations for the development of the digital economy.

2020 ◽  
Vol 33 (1) ◽  
pp. 223-246
Author(s):  
Olga Rodriguez-Arnaldo ◽  
Angel R. Martínez-Lorente

PurposeThis study has the main aim of analyzing the influence of six factors on ISO 9001 implementation: Economic Development, Exporting to Europe, Reputation, Competitiveness, Innovation and Business Sophistication. As a complement, a new factor relating to quality by country has been added: the World Quality Scoreboard.Design/methodology/approachHypotheses are proposed that establish a (positive or negative) linear relationship between the diffusion of ISO 9001 and the indicators of the different factors analyzed in each country. The SPSS program was used to evaluate the hypotheses using data from 2009 to 2018.FindingsThe results indicate strong positive relationship for the country's economic development only when countries with low levels of income are considered. For the rest of the variables, the results indicate that their behavior varies according to the degree of development of the countries. When only developed countries are considered, significant and negative correlations are obtained for reputation, competitiveness, innovation and business sophistication, while considering the group of less developed countries, the results are reversed. The new World Quality Scoreboard has the same behavior whereas regarding exports; we did not obtain conclusive results.Originality/valueThis study adds important information on the studying of ISO 9000 phenomenon diffusion/evolution by analyzing the effect of six variables on the degree of implementation of the ISO 9001 standard in different countries. This information is interesting for companies and certification bodies across the world because it allows a better understanding of the reasons and conditions of implementing a quality management system.


2021 ◽  
Vol 22 (4) ◽  
pp. 1047-1067
Author(s):  
Lorenzo Revuelto-Taboada ◽  
Ana Redondo-Cano ◽  
Francisco Balbastre-Benavent

This research aims at analysing the influence of a holistic configuration of factors related to industry and the characteristics of the entrepreneur and the business, on the survival of social and commercial entrepreneurial initiatives in both, new and consolidated companies. The sample ranges from 2,851 to 2,109 firms, according to the period considered, and has been obtained from the reports of the projects submitted to the Assistance Programme to Young Entrepreneurs, promoted by the Valencian Institute of Youth. Other sources of information have been the Institute’s own reports and the Chambers of Commerce. A configurational analysis is performed using the Fuzzy-Set Qualitative Comparative Analysis. The results obtained show that there is no necessary condition by itself and that there are several sufficient solutions that explain a considerable percentage of survival cases. They also show how the solutions vary significantly and, consequently, the relevance of the different causal antecedents, when the company acquires greater maturity.


2016 ◽  
Vol 26 (2) ◽  
pp. 375-388 ◽  
Author(s):  
Weijie Wang

Based on the models proposed by Provan and Milward and Provan and Kenis, this article employed a mixed-methods approach to study the determinants of the effectiveness of governance networks. The article is based on 22 neighborhood governance networks in Beijing with each network consisting of public, business, and civic organizations. Linear regression was used to identify independent variables that exert statistically significant influence over network effectiveness, and the fuzzy set Qualitative Comparative Analysis was used to investigate the complex interactions between explanatory variables. The analysis revealed different but functionally equivalent configurations of causal conditions that led to network effectiveness and showed that configurations of factors leading to network effectiveness were different from those leading to network ineffectiveness. The results also suggested that network structural characteristics such as network centralization and density are neither sufficient nor necessary conditions for network effectiveness. In contrast to Provan and Milward’s findings, the results suggest that network density is more important than network centralization in affecting effectiveness in small networks. Resource munificence was identified as an “almost always” necessary condition for network effectiveness.


2019 ◽  
Vol 21 (2) ◽  
pp. 83-100 ◽  
Author(s):  
Malcolm J Beynon ◽  
Paul Jones ◽  
David Pickernell ◽  
Shuangfa Huang

Local enterprise partnerships (LEPs) were introduced by the UK government in 2010 to promote local economic development. There is, however, a minimal pre-LEP baseline analysis concerning aspirations of small and medium-sized enterprises (SMEs) in LEP geographies. Employing Federation of Small Businesses 2010 data gathered before LEP policy activities began. This study examines growth and innovation intention of SMEs in LEP-defined areas. The analysis demonstrates how key internal SME strategic focus areas of staffing levels, training investment, research and development and online presence support their growth and innovation intentions. Results from fuzzy-set qualitative comparative analysis demonstrate that SMEs’ growth and innovation intentions and strategic areas that drive these intentions differ substantially between LEP-defined regions. This study contributes to knowledge providing baseline data outlining objectives and strategic foci of SMEs in different LEP areas, allowing LEPs to effectively evaluate programmes aligned with the requirements of their SMEs, potentially informing future policymaking.


2020 ◽  
pp. 004728752091527 ◽  
Author(s):  
Hossein Olya ◽  
Torkan Hashemi Nia

This empirical study applies complexity theory to understand complex interactions of demographics and medical tourism index (MTI) dimensions in predicting causal models leading to high and low levels of satisfaction and behavioral intentions among medical travelers. A questionnaire-based survey is applied to investigate causal models (i.e., a combination of predictors) to predict satisfaction and the behavioral intentions of international patients who traveled to Cyprus. This study also conducted an in-depth interview to identify motives, complications, and conditions stimulating the behaviors of medical travelers. According to the necessary condition analysis (NCA) results, three dimensions of MTI, excluding cost, are necessary to achieve satisfaction and desired behavioral intention. Findings from interviews reveal that medical complications and legal conditions in the origin country influence medical traveler’s behaviors. The model testing results support key tenets of complexity theory and extend our knowledge of how to regulate conditions to discharge a dis/satisfied and dis/loyal patient.


2020 ◽  
Vol 3 (3) ◽  
pp. 5-13
Author(s):  
Mavluda Yaxhisyeva ◽  
◽  
Ravshan Yusupov ◽  
Rasul Xamidov

This article highlights the digital economy and its features, its main systems, the effective use of digital technologies in economic development, and analyzes relevant aspects of training in this area


Author(s):  
Benito Yáñez-Araque ◽  
Sagrario Gómez-Cantarino ◽  
Santiago Gutiérrez-Broncano ◽  
Víctor-Raúl López-Ruiz

The evaluation of the work performance of health professionals has focused the interest of scientific research in recent decades as a basis for improving the quality of health services. The global COVID-19 pandemic has pushed countries’ health systems to the limit and had previously unknown consequences on the job performance of health professionals. In this context, what are the determinants of performance? There are numerous studies that link job performance with other variables that directly affect it, such as leadership, job satisfaction, organizational commitment, and work environment. However, there are no studies that jointly relate all these variables, and even less in the field of health. The main objective of this work is to analyse how these variables are configured together to generate a good level of performance of health professionals during the times of COVID-19. To do this, a fuzzy set qualitative comparative analysis (fsQCA) is carried out, an appropriate method that will allow finding the joint causal effects of key variables in human resources to ensure a good level of job performance in health organizations. The study reveals that leadership and commitment are the two key drivers of performance. The data confirm that the “recipe” to achieve a good level of performance consists of the combination of leadership, commitment, and a good work environment. Additionally, in the case of less satisfied workers, linking leadership and commitment is a sufficient condition.


2021 ◽  
Vol 13 (10) ◽  
pp. 5445
Author(s):  
Muyun Sun ◽  
Jigan Wang ◽  
Ting Wen

Creativity is the key to obtaining and maintaining competitiveness of modern organizations, and it has attracted much attention from academic circles and management practices. Shared leadership is believed to effectively influence team output. However, research on the impact of individual creativity is still in its infancy. This study adopts the qualitative comparative analysis method, taking 1584 individuals as the research objects, underpinned by a questionnaire-based survey. It investigates the influence of the team’s shared leadership network elements and organizational environmental factors on the individual creativity. We have found that there are six combination of conditions of shared leadership and organizational environmental factors constituting sufficient combination of conditions to increase or decrease individual creativity. Moreover, we have noticed that the low network density of shared leadership is a sufficient and necessary condition of reducing individual creativity. Our results also provide management suggestions for practical activities during the team management.


2016 ◽  
Vol 283 (1823) ◽  
pp. 20152404 ◽  
Author(s):  
Jorge Velázquez ◽  
Robert B. Allen ◽  
David A. Coomes ◽  
Markus P. Eichhorn

Plant sizes within populations often exhibit multimodal distributions, even when all individuals are the same age and have experienced identical conditions. To establish the causes of this, we created an individual-based model simulating the growth of trees in a spatially explicit framework, which was parametrized using data from a long-term study of forest stands in New Zealand. First, we demonstrate that asymmetric resource competition is a necessary condition for the formation of multimodal size distributions within cohorts. By contrast, the legacy of small-scale clustering during recruitment is transient and quickly overwhelmed by density-dependent mortality. Complex multi-layered size distributions are generated when established individuals are restricted in the spatial domain within which they can capture resources. The number of modes reveals the effective number of direct competitors, while the separation and spread of modes are influenced by distances among established individuals. Asymmetric competition within local neighbourhoods can therefore generate a range of complex size distributions within even-aged cohorts.


2019 ◽  
pp. 106-133
Author(s):  
Francesco Grigoli ◽  
Adrian Robles

The linearity of the relationship between income inequality and economic development has been long questioned. While theory provides arguments for which the shape of the relationship may be positive for low levels of inequality and negative for high ones, most of the empirical literature assumes a linear specification finding conflicting results. Employing an innovative empirical approach, robust to endogeneity, we find pervasive evidence of nonlinearities. In particular, similar to the debt-overhang literature, we identify an inequality-overhang level, in that the slope of the relationship between income inequality and economic development switches from positive to negative at a net Gini coefficient of about 27 per cent. We also find that in an environment characterized by widespread financial inclusion and high income concentration, rising income inequality has a larger negative impact on economic development because banks may curtail credit to customers at the lower end of the income distribution. On the positive side, a sufficiently high female labor participation can act as a shock absorber reducing such a negative impact, possibly through a more efficient allocation of resources.


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