This study aims to examine the relationship among green innovation performance (GIP), sustainable performance (SP), and green talent management (GTM) through the lens of natural resource. It investigates the moderating impact of organizational corporate social responsibility (CSR) commitment and the mediation influence of green core competencies (GCC). GTM is deemed crucial in the development of sustainability programs. Subsequently, it gathered employee data from 362 Pakistani small- and medium-sized enterprises based on judgmental sampling. Finally, by employing SmartPLS 4 software, the research conclusion finds the following: GTM advances GCC, expands a company's pledge to CSR, and boosts the link between GTM and environmental outcomes. The research underlines the importance of organizational commitment to CSR and green core competencies to understand the dynamics between GTM and sustainable performance and green innovation. Lastly, the value of a comprehensive personnel management strategy to promote eco-friendly behavior is demonstrated.

With the rapid development of Generative AI technology, businesses need their marketers to adopt it to assist in completing their job tasks. However, marketers are not entirely optimistic and may feel anxious and concerned about it. This research explores how AI anxiety affects marketers' AI-generated content intention. Based on social cognitive theory, this study empirically examines the impact of anxiety on marketers' intention to use AI-generated content, including the mediating role of AI trust and the moderating effect of AI self-efficacy. Using survey data from 495 marketers, we found that AI privacy, bias, and opacity anxiety negatively correlate with AI trust and weaken marketers' intention to use AI-generated content. Furthermore, this relationship is moderated by AI self-efficacy, where the negative relationship is significantly mitigated when marketers possess AI self-efficacy. These findings enrich the research on Generative AI in marketing and help organizations focus on marketers' anxious resistance to adopting Generative AI and reduce the adverse effects of AI anxiety.

Digital transformation has become an important channel for firms to build a competitive advantage in the digital economy. However, user participation, an important source of external knowledge for firms, has received limited attention in research related to digital transformation. Drawing on the knowledge-based view, the study uses a sample of 247 Chinese firms to investigate the impact of digital transformation on firm performance. The study examines the mediating role of user participation between digital transformation and firm performance and the moderating role of both environmental dynamics and absorptive capacity on the relationship between user participation and firm performance. Findings herein encourage digital transformation firms to pay attention to user participation, strengthen their ability to establish good relationships with users, improve their ability to absorb their knowledge, and make a strong effort to cultivate digital users.