Smarter and Prosperous: Digital Transformation and Enterprise Performance

Gao, Dao Li; Zhuang, Yan; Zhou, Xiaotian; Mo, Xinlin

doi:10.3390/systems11070329

Cited by 37 publications

(15 citation statements)

References 56 publications

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“…Text mining related to digital transformation revealed the top five words with the highest frequency in online news articles as "Education", "Innovation", "Corporation", "Information", and "Artificial Intelligence" and in blogs as "Artificial Intelligence", "Corporation", "Education", "Data", and "Innovation". These results indicate the significant impact of technological advancement in various fields such as education, innovation, corporations, and artificial intelligence [50,51]. Additionally, artificial intelligence has been confirmed as one of the key elements in the era of digital transformation [52,53].…”

Section: Discussionmentioning

confidence: 76%

Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis

Song,

Seo

2024

BDCC

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This study explores the impact of digital transformation on Korean society by analyzing Korean social media data, focusing on the societal and economic effects triggered by advancements in digital technology. Utilizing text mining techniques and semantic network analysis, we extracted key terms and their relationships from online news and blogs, identifying major themes related to digital transformation. Our analysis, based on data collected from major Korean portals using various related search terms, provides deep insights into how digital evolution influences individuals, businesses, and government sectors. The findings offer a comprehensive view of the technological and social trends emerging from digital transformation, including its policy, economic, and educational implications. This research not only sheds light on the understanding and strategic approaches to digital transformation in Korea but also demonstrates the potential of social media data in analyzing the societal impact of technological advancements, offering valuable resources for future research in effectively navigating the era of digital change.

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Section: Discussionmentioning

confidence: 76%

Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis

Song,

Seo

2024

BDCC

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“…Such structures are more prone to "resource curses". Digital technologies struggle to improve existing industrial structures, while financial underdevelopment deprives cities of environmental governance funds and might impede the effectiveness of SC policy [42]. Therefore, this paper proposes the following hypothesis regarding the sources of heterogeneous treatment effects (HTEs): Hypothesis 2.…”

Section: Mechanism Elaboration and Research Hypothesesmentioning

confidence: 99%

Smart Cities and Greener Futures: Evidence from a Quasi-Natural Experiment in China’s Smart City Construction

Yu,

Gao

2024

Sustainability

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As the digital economy becomes the new engine of economic growth, China has introduced a series of smart city policies aimed at promoting high-quality and sustainable urban development. This paper aims to evaluate the green development effects of China’s “Smart City Pilot” policy and to explore the heterogeneity of policy effects across different types of cities. Using panel data from 283 prefecture-level cities in China from 2006 to 2020, this study examines the relationship between smart city construction policy and urban green development efficiency using the green total factor productivity (GTFP). We employ the Causal Forest and mediation effect models to estimate the impact of smart city pilot policy on GTFP and explore the underlying mechanisms. The main results are: (1) The smart city pilot policy significantly enhances urban GTFP, a finding consistent across diverse policy evaluation approaches. (2) The influence of the policy on green development varies among cities, and such heterogeneity is effectively captured by the Causal Forest. (3) This varied impact primarily stems from urban location factors and inherent characteristics. Notably, the policy effect in Eastern China outpaces that in other regions. The policy yields greater green benefits with financial development and medical capital rises, but excessive government public expenditure curtails its positive influence. (4) The mediation mechanisms through which the smart city pilot policy promotes green development exhibit certain differences between the “high-effect group” and the “low-effect group”. The former predominantly leverages innovation-driven and agglomeration effects, while the latter chiefly relies on industrial structural advancement and rationalization.

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“…Meningkatkan efisiensi operasional merupakan langkah krusial bagi bank dalam mengoptimalkan kinerja mereka di pasar keuangan yang kompetitif. Dengan memanfaatkan teknologi informasi yang lebih canggih, bank dapat mengotomatisasi banyak proses internal mereka, yang pada gilirannya meningkatkan produktivitas dan mengurangi biaya operasional (Gao et al, 2023). Investasi dalam sistem perbankan digital, misalnya, memungkinkan bank untuk menawarkan layanan perbankan online yang lebih cepat, lebih aman, dan lebih responsif terhadap kebutuhan nasabah (Diener & Špaček, 2019).…”

Section: Peningkatan Efisiensi Operasionalunclassified

Efektivitas Net Interest Margin dan Loan to Deposit Ratio Terhadap Profitabilitas Perbankan

Hasbi,

Djaniar,

Putri

et al. 2024

Bri

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This research examines the effectiveness of Net Interest Margin (NIM) and Loan to Deposit Ratio (LDR) on banking profitability. The study employs a quantitative approach using financial data from a sample of banks over a specific period. Through regression analysis, the study explores the relationship between NIM, LDR, and profitability indicators such as Return on Assets (ROA) and Return on Equity (ROE). The findings suggest a significant impact of NIM and LDR on banking profitability, indicating that these two factors play crucial roles in determining the financial performance of banks. Moreover, the study contributes to the existing literature by providing empirical evidence regarding the effectiveness of NIM and LDR in influencing bank profitability. Understanding these relationships is essential for bank management, policymakers, and stakeholders in making informed decisions related to financial performance and risk management. The results imply that banks should carefully manage their interest margins and loan-to-deposit ratios to enhance profitability and sustain long-term growth. The study underscores the importance of monitoring NIM and LDR dynamics as part of effective banking management strategies

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Smarter and Prosperous: Digital Transformation and Enterprise Performance

Cited by 37 publications

References 56 publications

Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis

Analyzing Trends in Digital Transformation Korean Social Media Data: A Semantic Network Analysis

Smart Cities and Greener Futures: Evidence from a Quasi-Natural Experiment in China’s Smart City Construction

Efektivitas Net Interest Margin dan Loan to Deposit Ratio Terhadap Profitabilitas Perbankan

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