Narrow Results

Cloud-based solutions for software development activities have been emerging in the last decade. This study aims to develop a hybrid technology adoption model for cloud use in software development activities. It is based on Technology Acceptance Model (TAM), Technology–Organization–Environment (TOE) framework, and the proposed extension Personal–Organization–Project (POP) structure. The methodology selected is a questionnaire-based survey and data are collected through personally administered questionnaire sessions with developers and managers, resulting in 268 responses regarding 84 software development projects from 30 organizations in Turkey, selected by considering company and project sizes and geographical proximity to allow face-to-face response collection. Structural Equation Modeling (SEM) is used for statistical evaluation and hypothesis testing. The final model was reached upon modifications and it was found to explain the intention to adopt and use the cloud for software development meaningfully. To the best of our knowledge, this is the first study to identify and understand factors that affect the intention of developing software on the cloud. The developed hybrid model was validated to be used in further technology adoption studies. Upon modifying the conceptual model and discovering new relations, a novel model is proposed to draw the relationships between the identified factors and the actual use, intention to use and perceived suitability. Practical and social implications are drawn from the results to help organizations and individuals make decisions on cloud adoption for software development.

Promoting scientific and technological innovation and high-quality development of small and medium-sized enterprises is an important part of implementing the national innovation-driven development strategy and manufacturing power strategy. At present, with the rapid development of “digital finance” some “digital finance” tools can effectively alleviate the difficulties of “financing difficulty” and “expensive financing” of SMEs’ technological innovation and provide effective support for SMEs’ technological innovation. Digital transformation is an effective way for our country’s small and medium-sized enterprises to achieve high-quality scientific and technological innovation development. Based on the theoretical framework of TOE, this paper adopts the necessary condition analysis (NCA) and fuzzy set qualitative comparative analysis (fsQCA) methods to reflect the so-called technical, organizational, and environmental aspects. The specific action mechanism of various antecedent conditions, including data algorithms, is based on the digital transformation of enterprises. It provides a useful reference for understanding the role of digital finance between the government and enterprises. It also provides new ideas and empirical evidence for designing and improving relevant science and technology innovation policies, which have important theoretical and practical significance.