“…Although the spread of the coronavirus has acted as an opportunity for many companies to accelerate their digital transformation, SMEs, which represent a large percentage of the global economy, are slow to adopt new technologies, which has a negative effect on their competitiveness [ 30 – 32 ]. Therefore, the development of a new business model, which will be based on the TOE and business intelligence is crucial for SMEs to adopt emerging technologies and enhance their competitive advantage [ 30 , 33 ]. Fig.…”
Small and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure to SMEs that emerging technologies will not affect them negatively is crucial. Thus, this research proposes the development of a new business model that will be based on Business Intelligence and Technology–organization–environment framework (TOE) framework, which helps SMEs to feel safe with emerging technologies.
“…Although the spread of the coronavirus has acted as an opportunity for many companies to accelerate their digital transformation, SMEs, which represent a large percentage of the global economy, are slow to adopt new technologies, which has a negative effect on their competitiveness [ 30 – 32 ]. Therefore, the development of a new business model, which will be based on the TOE and business intelligence is crucial for SMEs to adopt emerging technologies and enhance their competitive advantage [ 30 , 33 ]. Fig.…”
Small and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure to SMEs that emerging technologies will not affect them negatively is crucial. Thus, this research proposes the development of a new business model that will be based on Business Intelligence and Technology–organization–environment framework (TOE) framework, which helps SMEs to feel safe with emerging technologies.
“…The TOE theoretical framework is mainly applied in urban governance [ 49 ] and government public part reform [ 50 ], and is less involved in constructing an index system of influencing factors, which helps to provide a new perspective for studying influencing factors. The factors influencing the coupling of NU-RR were discussed using a geographic detector, which, unlike the Tobit model [ 51 ] and geographically weighted regression analysis, focused more on detecting stratified heterogeneous space and effectively avoided the interference of spatial complexity.…”
Section: Discussionmentioning
confidence: 99%
“…3. The TOE theoretical framework is mainly applied in urban governance [49] and government public part reform [50], and is less involved in constructing an index system of influencing factors, which helps to provide a new perspective for studying influencing factors.…”
Integrating urban and rural areas is the only way to achieve sustainable regional development. To comprehensively build an evaluation index system for new urbanization and rural revitalization (NU-RR), taking the Yellow River Basin (YRB) as research object, and the coupled coordination degree (CCD) model, relative development degree (RDD) model and gravity model are used to quantitatively measure the spatial and temporal patterns, synchronous development status and spatial linkages of the coupled coordination of NU-RR from 2005 to 2020. The factors influencing the CCD are identified with the help of the geographic detector model. The findings indicate that: (1) From 2005 to 2020, the combined indexes of NU-RR in the YRB show an increasing trend, while rural revitalization is growing slower than new urbanization. (2) The CCD of NU-RR in the YRB shows spatial structure characterized by “high in the east and low in the west” and undergoes an evolutionary process of “low coupling-medium coupling-high coupling”. (3) The spatial disparities in the state of coupled and coordinated development of different cities are significant, mainly showing the spatial distribution characteristics dominated by the lagging new urbanization. (4) The spatial connection of CCD is networked and polarized, and the interprovincial barrier effect is weakened. (5) Total retail sales of consumer goods per capita and local general public budget expenditure as a share of GDP are the primary influencing elements affecting the CCD of NU-RR in the YRB. The interaction is manifested as bivariate enhance and nonlinear enhancement. The study’s findings can guide decisions to promote high-quality urban-rural integration development in the YRB.
“…According to the TOE framework, the implementation of technological innovation in enterprises is mainly influenced by technological factors [ 18 ], organizational factors [ 19 ], and environmental factors [ 20 ]. Technological factors refer to the compatibility between technology and organization [ 21 ], which provides support and accessibility for organizational innovation, and brings potential benefits to organizations during the innovation process.…”
With the rapid development of China’s economy and society, the innovation of grassroots social governance has become increasingly important. This paper constructs 35 grassroots social governance innovation samples. Using the TOE theoretical framework and a fuzzy set qualitative comparative analysis (fsQCA), this paper analyzes the joint effects and interactive relationships of multiple factors on grassroots social governance innovation performance from three dimensions: technology, organization, and environment. The research reveals that internal environmental openness is a necessary condition for achieving high innovation performance in grassroots social governance, and proposes four grouping models that affect the performance of grassroots social governance innovation. This paper explores the inner logic of grassroots social governance innovation from a histological perspective, and on this basis proposes an adaptive path to enhance the performance of grassroots social governance innovation.
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