Adaptive Social Innovation Derived from Digital Economy and Its Impact on Society and Policy

Cho, Min-Hyuk; Yi, Chan-Goo

doi:10.3390/su14063408

Cited by 13 publications

(6 citation statements)

References 61 publications

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“…Dan et al used instrumental variables and smart city construction as a quasi-natural experiment and found that the digital economy can affect the high-quality green development of surrounding areas through spatial spill-over effects [9]. Min-Hyuk et al found that the transformation of production, consumption, and distribution brought about by the digital economy has brought about adaptive social innovation [10]. Wang et al found that the development of the digital economy has greatly improved the green innovation ability of cities [11].…”

Section: Introductionmentioning

confidence: 99%

Impact of the Digital Economy in the High-Quality Development of Tourism—An Empirical Study of Xinjiang in China

2022

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In the era of big data, the digital economy has become a key driving force for the high-quality development of tourism. Based on the annual panel data of 14 prefectures in Xinjiang from 2008 to 2018, this study proves the positive effect of the digital economy on the high-quality development of tourism. Through the construction of an evaluation index system for the high-quality development, a fixed effects model is used to investigate the relationship between them. Furthermore, mediating effect analysis is employed to study the mechanism. The robustness testing and heterogeneity analysis show the validity and rationality of the model. The results show that (1) The digital economy is an important driving force in the high-quality development of tourism in Xinjiang; (2) The digital economy promotes high-quality development by stimulating the upgrading of the tourism structure; (3) The impact of the digital economy on the high-quality development of tourism in different regions in Xinjiang presents great heterogeneity. The provincial capital presents a more significant effect.

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Section: Introductionmentioning

confidence: 99%

Impact of the Digital Economy in the High-Quality Development of Tourism—An Empirical Study of Xinjiang in China

2022

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“…The investigation progressed and incorporated machine learning ideas to construct an all-encompassing prediction model for STP, JS, PCF, and OCB. The first hypothesis was supported revealing that employees were content even when working conditions changed and their exchange process altered but remained intact, underlining the role of SET (Cho & Yi, 2022 ). In such a volatile scenario, employees maintained their composure and went about their everyday duties.…”

Section: Discussionmentioning

confidence: 97%

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

et al. 2023

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This study evaluates Sustainable Training Practices (STP) that promote organizational growth and ensure the attainment of sustainable HRM objectives. First, we employ Structural Equation Modelling to identify relationships between STP, Psychological Contract Fulfilment, Job Satisfaction, and Organizational Citizenship Behavior. Next, we build a predictive model using the RF Regression Supervised Machine Learning technique to identify the key predictors. Our findings indicate that employee happiness, expectation fulfilment, and behavior are highly dependent on the STPs offered to them. In addition, we find that machine learning is crucial because it reveals hidden features that are sometimes overlooked by conventional methods.

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“…The seminal work by Cho and Yi [58] on "Adaptive social innovation derived from digital economy and its impact on society and policy" serves as a key reference. According to this article, today's social innovation derived from the digital economy environment is transforming our way of life, values, and even social relations.…”

Section: Impact Of Digital Social Innovation On Society and Policymentioning

confidence: 99%

“…Figure 1. Impact of digital economy on society and mitigating policy (source: the study of Cho and Yi [58] , Figure 5).…”

Section: Impact Of Digital Social Innovation On Society and Policymentioning

confidence: 99%

Digital literacies as policy catalysts of social innovation and socio-economic transformation: Interpretive analysis from Singapore and the UAE

Sharma,

Mokhtar,

Ghista

et al. 2023

Sustain. Social. Dev.

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<p>Even before the COVID-19 global pandemic, the world saw the adoption and proliferation of numerous digital tools and technologies, or a global digital transformation. This paved the way for digital inclusion, particularly through e-commerce and shared services platforms which helped to reduce barriers to entry and created abundant socio-economic opportunities across income groups. As a result, digital literacy becomes a vital aspect of modern life due to the rapid global shift toward this digital transformation. Numerous scholars have investigated the benefits of digital literacies since 1995. The primary objective of this paper is to investigate good practices and lessons learned on how digital literacy may serve as a policy instrument for social innovation and socio-economic transformations. The empirical approach is interpretive, through an understanding of digital literacy categorized into three primary pillars: (i) the evolution and foundational concepts of digital literacy, (ii) frameworks and measures of digital literacy, and (iii) the capacity and skills associated with digital literacy. The paper also examines how digital literacy capacity and skills shape social innovation initiatives in Singapore and the UAE, impacting the socio-economic transformation of individuals, families, and communities. Our interpretive approach from field observations and policy implementation, offers a multi-dimensional perspective on digital literacy research, and its socio-economic impact on people and communities. These insights can assist researchers new to this field to gain a more thorough understanding of digital literacy’s broad ecosystem and its extensive impact on communities and nations as a key driver of socio-economic change.</p>

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Adaptive Social Innovation Derived from Digital Economy and Its Impact on Society and Policy

Cited by 13 publications

References 61 publications

Impact of the Digital Economy in the High-Quality Development of Tourism—An Empirical Study of Xinjiang in China

Impact of the Digital Economy in the High-Quality Development of Tourism—An Empirical Study of Xinjiang in China

Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques

Digital literacies as policy catalysts of social innovation and socio-economic transformation: Interpretive analysis from Singapore and the UAE

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