Based on institutional theory and the dynamic capability view, this study delves into the relationship between a firm’s climate change adaptation (CCA) capability and its performance, with a focus on the mediating influence of business-to-business (B2B) marketing capability. The study poses two main research questions: RQ1: What role do institutional pressures play in fostering CCA capability among B2B firms in both developed and developing countries? RQ2: How does the CCA capability of B2B firms impact their performance? To validate the theoretical model developed, data is collected through surveys conducted in a developed country (Australia) and a developing country (South Africa). The study holds significance on two fronts: (a) being among the first to examine the influence of institutional pressures on CCA capability development, and (b) uncovering the mediating role of marketing capability in enhancing B2B firm performance through CCA capability. The study’s novel contribution lies in identifying pivotal elements for driving exceptional B2B firm performance amidst climate change, while employing institutional theory and the dynamic capability view to elucidate underlying mechanisms.

03:47
Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |
- Research
- Digital Transformation, Logistics and Supply Chain