Artificial Intelligence and the New Quality Productive Forces of Enterprises: Digital Intelligence Empowerment Paths and Spatial Spillover Effects

Systems, Journal Year: 2025, Volume and Issue: 13(2), P. 105 - 105

Published: Feb. 9, 2025

The 20th CPC Central Committee stressed that the key to high-quality economic development is cultivate new quality productive forces, and AI plays a role in cultivating forces. This paper takes A-share listed enterprises China from 2013 2022 as sample, constructs comprehensive level indicators of strategic side, application innovation side enterprises’ AI, empirically examines impact, mechanism, spatial spillover effect on forces perspective digital intelligence empowerment perspective. results this study show can significantly promote productivity, within improvement productivity levels neighboring or regions. At same time, promoting more obvious when enterprise private enterprise, managers have background, located an industry with fierce market competition industry. purpose reveal mechanism provide theoretical basis research for

Language: Английский

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E-Commerce and the Evolution of Consumer Behavior

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 133 - 154

Published: Feb. 7, 2025

E-commerce has revolutionized consumer behavior, reshaping interactions between businesses and customers. This study explores online shopping patterns, focusing on factors like convenience, personalization, accessibility. Using quantitative data case studies, it highlights the role of digital marketing strategies, such as targeted ads personalized recommendations, in fostering loyalty. The research also examines cross-border e-commerce, addressing cultural adaptation regulatory challenges, emphasizes importance sustainability choices. Emerging technologies AI big are shown to enhance customer experiences. concludes that aligning strategies with needs is key thriving market.

Language: Английский

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The impact of AI-supported marketing capabilities and analytics on SMEs' customer agility and marketing performance

International Journal of Social Sciences and Education Research, Journal Year: 2025, Volume and Issue: 11(1), P. 1 - 14

Published: March 9, 2025

This research examines the impact of marketing analytics and artificial intelligence applications on customer agility performance in businesses that adopt e-commerce. In this quantitative study, data were collected through a questionnaire. Data from 227 managers online analyzed using Smart PLS method. The study concluded AI-supported capabilities affect performance. It is also has an addition, results show mediator effects offers concrete suggestions for businesses, facilitating decision-making processes, demonstrates how digital strategies can be employed more effectively. makes academic contribution by analyzing relationship between transformation capabilities, thus guiding future research.

Language: Английский

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SME–Platform System Development in China–ASEAN E-Commerce: A Synergetic Evolution Perspective

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 218 - 218

Published: March 22, 2025

This paper examines the synergetic development between small- and medium-sized enterprises (SMEs) platforms in China–ASEAN cross-border e-commerce, representing a dynamic system of interrelated market entities. By integrating synergy theory with evolutionary principles, this study develops an game model to reflect collaborative strategies their trajectories. The reveals nine distinct equilibrium states, particular attention bifurcation scenario demonstrating two stable configurations: mutual collaboration non-collaboration. Model validation is conducted through numerical simulations parameters referenced from DHgate platform case relevant government policy documents. findings illuminate key that influence trajectories, including initial conditions, regulatory interventions, resource distribution mechanisms. Specifically, strong propensity, balanced governmental facilitation, equitable benefit–cost sharing mechanisms are identified as critical factors promoting development. research enriches e-commerce studies by pioneering integration model, offering novel insights into bilateral dynamics SME–platform

Language: Английский

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Automatic Complaints Classification in E-Commerce: A Case Study Using CRISP-DM

Journal on Interactive Systems, Journal Year: 2025, Volume and Issue: 16(1), P. 256 - 266

Published: April 8, 2025

The growth of e-commerce has been remarkable in recent years, driven by increasing consumer demand for attention and quick responses. Given the large volume transactions complaints accompanying this increase, automating classification these can help quickly route them to appropriate departments. This paper presents a computational approach using Cross Industry Standard Process Data Mining (CRISP-DM) methodology automate screening process. We categorized 600 real from three platforms Brazil. learning model was trained progressively, an initial set 25 each category. obtained accuracy 85% average over 80% across all relevant metrics, including precision, recall, F1-Score. results confirmed effectiveness developed automated complaint e-commerce, providing strategy that improves customer service process allows quicker problem resolution.

Language: Английский

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Leveraging Artificial Intelligence for Personalized Marketing

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 180

Published: April 18, 2025

This study investigates the impact of Artificial Intelligence driven personalized marketing on consumer engagement and sales performance, examining mediating role moderating effects product involvement demographics. Using a quantitative, cross-sectional approach, data from 200 respondents exposed to AI-powered digital platforms were analyzed. Findings reveal that AI-driven personalization significantly enhances cognitive, emotional, behavioral engagement. Consumer partially mediates relationship between sales, with stronger observed for high-involvement products. Additionally, demographics such as age, income, education influence effectiveness. The insights align theories Elaboration Likelihood Model theory. research offers practical recommendations leverage AI, tailor strategies by types, address privacy concerns foster trust loyalty.

Language: Английский

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