Digital transformation is a critical challenge for commercial banks to achieve sustainable competitive advantages in the digital economy. However, conventional research focuses too much on constructing linear models to explain the non-linear relationships between and among the factors relevant to digital transformation. By adopting the configurational framework, we propose that the interactions between strategy and dynamic capabilities determine the paths of how digital transformation may succeed or fail. The fuzzy-set qualitative comparative analysis (fsQCA) of digital transformation practices by Chinese commercial banks shows that: (1) a single condition of strategic orientation or dynamic capabilities does not constitute the necessary condition for high digital transformation, yet market orientation plays a more general role in generating high digital transformation. (2) There are three configurational paths that can contribute to high digital transformation of commercial banks, such as sensing capability-driven paths dominated by strategic orientation, integrating capability-driven paths dominated by strategic orientation, and the market orientation-driven paths dominated by dynamic capabilities. (3) There are two configurational paths that lead to non-high digital transformation, which verifies the existence of the asymmetrical relationship compared to the configurational paths of high digital transformation; (4) In the pathways dominated by strategic orientation, there is a substitutive relationship between sensing capability and integrating capability. The findings make contributions to the literature on digital transformation and provide implications for the digital transformation of commercial banks.

This study delves into the influence of consumption values on green purchase intentions within the Chinese automobile industry, focusing on adopting electric vehicles (EVs) as a more sustainable alternative to traditional petrol vehicles. The objective was to examine how functional, social, and emotional values affect consumers’ attitudes toward environmental issues and their subsequent intention to purchase green products. Utilizing a quantitative research methodology, data were gathered and analyzed through structural equation modeling to assess the influence of consumption values on attitudes toward environmental issues and green purchase intention. The results indicated that functional value had a strong positive effect on environmental attitudes, significantly influencing green purchase intentions. Social and emotional values also contributed positively to shaping environmental attitudes, suggesting that these factors play a crucial role in the decision-making process for potential EV consumers. The study’s novelty lies in integrating the theory of consumption values with green purchase behavior, particularly within the burgeoning Chinese EV market. It provides a nuanced understanding of the predictors of green purchase intentions, offering valuable insights for manufacturers and policymakers looking to foster a more sustainable automotive industry. The findings underscore the importance of aligning product offerings with consumer values to accelerate the transition towards environmentally friendly vehicles.

The identification and leverage of the Building Information Model (BIM) technology are at the core of the successful digital transformation of the construction industry. However, due to its ability to integrate with various digital technologies and platforms, facilitating the digital and sustainable construction of the entire lifecycle of a building, BIM technology cannot be simply defined and operationalized with a single dimension of the construct. Based on the importance of multidimensional structures called for in the viewpoint of existing research and the resource-based view, we develop a second-order construct model to measure BIM technology capabilities. We define and operationalize the BIM technology capabilities, based on theory, as a reflective–reflective higher-order construct by developing and validating a 17-item scale that captures three first-order constructs. The measurement model results show strong reliability, dimensionality of the first-order measurement model, convergent validity, and discriminant validity. The multidimensional structure and instrument provide researchers with an opportunity to test the theories about the antecedents and outcomes of BIM technology capabilities, as well as the process and conditions.

Purpose: This study explores how green marketing practices adopted by eco-certified hotels in China affect guests’ repurchase intention. Drawing on the resource-based view, it examines the sequential mediation of green brand image and customer loyalty and investigates how green self-identity strengthens the transformation of green resources into sustained customer commitment. Design/methodology/approach: A structured survey was conducted among 598 guests who had recently stayed at eco-certified hotels in China. Established seven-point Likert scales measured key constructs. Structural equation modelling tested direct, mediated and moderated relationships. Robustness checks included common method bias assessment and multi-group analysis to confirm the validity and reliability of findings. Findings: Green marketing significantly enhances green brand image, which boosts customer loyalty, ultimately increasing repurchase intention. Green self-identity positively moderates the effects of green marketing on brand image and loyalty, amplifying the indirect paths. Originality/value: This study extends the resource-based view by illustrating how green marketing resources can be transformed into competitive advantages through psychological mechanisms. It clarifies the mediating and moderating roles within a single framework, offering new insights for eco-certified hotels seeking to convert environmental initiatives into long-term customer loyalty and repeat patronage.