The influence of asset-liability ratio on enterprise value -- empirical analysis based on threshold regression

Ji, Maoli; Bo, Hanliang

doi:10.2991/aebmr.k.191217.135

Cited by 1 publication

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“…Therefore, RSy plays a very important role in increasing the efficiency of green R&D technology for individual enterprises, and thus, the S1 configuration is termed as “digitally driven resource synergy.” In the digital era, participants in the digital ecosystem all play dual roles: benefiting from others and providing self-owned value simultaneously. The emergence and fast development of DT facilitate easier access to externally available resources, fostering new concepts and designs for resource allocation (Amit and Han, 2017), so that the coordinated allocation of digital resources among enterprises can improve the efficiency of resource operations and construct a better strategic governance advantage within the whole industry (Ji and Ming, 2022). This collaborative mode of continuous interaction and two-way learning between focal enterprises and their external partners will accelerate the internalization of external resources and the socialization of internal resources at the same time, further accelerating the green innovation achievements’ transformation (Schriber and Löwstedt, 2018), fostering the realization of economic, social and ecological values for enterprises. Model II: digitally driven resource integration (S2 configuration). The antecedent configuration of S2 is “digital technology·∼resource structure·resource integration,” with the core conditions being DT and RI.…”

Section: Results Of Data Analysismentioning

confidence: 99%

Digital technologies and corporate green innovation: opening the “black box” of resource orchestration mechanisms

Zhou,

Wang,

et al. 2024

SAMPJ

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Purpose Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation. Design/methodology/approach Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved. Findings The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation. Practical implications The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT. Social implications The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment. Originality/value Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

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