What drives partners in industry-academia cooperation? A special consideration of reducing uncertainty through computational chemistry

Niedergassel, Benjamin; Curran, C.‐S.; Leßing, Michael; Leker, Jens

doi:10.1504/ijtip.2007.016304

Cited by 5 publications

(2 citation statements)

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“…On the other hand, rapid advancements in Digital Conversion have not only spawned innovative manufacturing models but also fostered new marketing strategies. The rise of e-commerce and smart manufacturing is driving a shift towards greater value addition in products and services [18]. By continuously innovating and applying digital technologies, enterprises have launched initiatives that transcend traditional boundaries, facilitating the construction of digital platforms and strengthening the capability to experiment with innovative business models.…”

Section: The Relationship Between Digital Conversion and Firm Perform...mentioning

confidence: 99%

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A Mechanistic Study of Enterprise Digital Intelligence Transformation, Innovation Resilience, and Firm Performance

Zhang,

Wang,

Xie

et al. 2024

Systems

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Enterprise Digital Intelligence Transformation is based on the Digital Conversion of information and process service upgrading, further touching the enterprise’s core business, with the goal of building a new business model of Digital Intelligence Transformation at a higher level. Based on dynamic capability theory, this paper conducts an in-depth study on the mechanism of enterprise Digital Intelligence Transformation and firm performance. This paper selects manufacturing companies listed in China’s Shanghai and Shenzhen A-shares from 2013 to 2022 as the research sample, and analyzes and tests the sample data using empirical research methods in order to explore the actual impact of Digital Intelligence Transformation on firm performance, including the specific pathways of action and moderating effects. This study helps enterprises to positively face the megatrend of Digital Intelligence Transformation and upgrading and the challenges it brings, and to grasp the new opportunities in the digital era. This study finds that enterprises carry out digital empowerment transformation and development strategies, and implement information Digital Conversion, service upgrading, and Digital Intelligence Transformation to promote firm performance to different degrees. Enterprise innovation resilience has a mechanism effect between information digitalization conversion enterprise performance and process service upgrading enterprise performance. The higher the environmental uncertainty, the greater the positive contribution of information digitalization to firm performance. Digital Conversion is the base and service upgrading is the process. The current sample enterprises have limited years of data collection, and most of them have only carried out the strategic implementation of Digital Conversion or servitization, and have not reached the high-level stage of digital and intellectual transformation. Therefore, it is found that enterprise innovation resilience has not yet shown a significant role mechanism effect between digital–intelligent transformation and enterprise performance at present. And environmental uncertainty has not yet shown a significant moderating effect in the stage of Servitization Upgrading and digital–intelligent transformation. The marginal contributions of this paper are mainly reflected in the following: (1) This study introduces the dynamic capability theory to explore the role of Digital Intelligence Transformation (Digital Conversion + service upgrading) on enterprise performance. (2) This paper investigates the role of Digital Intelligence Transformation in influencing the performance of enterprises from the Digital Conversion and service upgrading phases, and enriches the relevant role and regulatory mechanisms. (3) This study provides new ideas and strategic suggestions on Digital Intelligence Transformation for enterprises with different factor intensities, at different stages of development, and in different regions.

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Section: The Relationship Between Digital Conversion and Firm Perform...mentioning

confidence: 99%

“…The development of the mediating mechanism model primarily draws on the related literature [71]. H2 is tested using models (15) through (18), while H2a and H2b are examined using models ( 7) through (10) and models (11)…”

Section: Mechanism Effects Modelingmentioning

confidence: 99%