This study examines the influence of leaders’ artificial intelligence symbolization on job-crafting behaviors, highlighting both positive and negative consequences in Chinese small and medium-sized firms. This research utilizes signaling theory to investigate the impact of leaders’ visible adoption of AI on employees’ readiness for change, perceived threats, and job-crafting behaviors. This study examines the moderating influence of organizational support to understand its amplifying and decreasing effects. This work utilizes Python-based statistical tools to provide a novel approach for evaluating behavioral data in social science research. The results reveal that leaders’ AI symbolization significantly improves employees’ readiness for change and promotes proactive job crafting. Conversely, symbolic actions may exacerbate perceived risks, adversely affecting job-crafting behaviors. Organizational support is essential to enhancing the beneficial impacts of AI symbolization on change readiness while alleviating its adverse consequences on perceived threats. These results show how crucial symbolic leadership is for getting people to use new technology and making staff more flexible in SMEs that use AI. By offering organizational training and resources, leaders may optimize favorable results and mitigate adverse effects. This study highlights its significance regarding change readiness, perceived threats, and job crafting. Furthermore, it underscores Python’s (3.9) potential as a groundbreaking tool for enhancing behavioral research in the age of AI.

In the era of digital transformation and data-driven decision-making, big data analytics capability (BDAC) is crucial for firms to enhance innovation and sustainable competitive advantage in highly dynamic markets. Grounded in dynamic capability theory, this study used a moderated mediation model to explore the impact of BDAC on innovativeness. Empirical analysis was conducted by using survey data from 270 enterprises to test the hypotheses. The results reveal that BDAC significantly and positively influences innovativeness, and sustained innovation mediates this relationship. Moreover, organizational slack positively moderates the effect of BDAC on innovativeness, both the direct effect and indirect effect. These findings provide theoretical support and practical implications for understanding how BDAC enhances firm innovativeness.

This study examines whether consumers exhibit differential responses to equivalent expressions of the benefits associated with green products when presented in varying usage-based scales or units. Specifically, it investigates the impact of scale frame on green purchase intention by comparing large-number frames to small-number frames. Results from a sample of 302 consumers indicate that green benefits expressed in a large-number frame significantly increase green purchase intention compared to those in a small-number frame. Perceived value serves as a mediator for this positive effect, whereas consumer skepticism exerts a suppressive influence on this relationship. Consequently, the large-number frame can be regarded as a double-edged sword in terms of promoting green purchase intention. Furthermore, regulatory focus moderates these effects in such a way that consumers with a promotion focus exhibit a higher purchase intention because of an enhanced perceived value in the large-number frame. In contrast, consumers with a prevention focus demonstrate a lower purchase intention due to increased skepticism toward the benefits framed in large numbers. These findings contribute to the literature on information framing, regulatory fit, and pro-environmental behaviours, offering valuable insights for businesses and governments to design effective communication campaigns by aligning environmental information with the motivational states of their target audience, thereby further promoting pro-environmental behaviours.