In recent decades, digital technologies have seriously changed socioeconomic systems on a global scale. Unfortunately, consequential issues have remained mostly uninvestigated. The literature lacks research into the risks that may arise in the procedure of developing digital capabilities that have considerable impacts on firms’ innovative growth. In addition, inadequate research has been conducted on challenges that may arise when a business is being developed in the context of the digital economy. Moreover, the advent of new risks specific to the digital economy has not been addressed in the overall system of modern economic relations. As a result, the current study aims to investigate the major areas of relevance to transforming companies into the digital economy, considering the impacts of new risks encountered during such transitions. Along this line, this paper develops a decision support model for evaluating risks in the digital economy transformation of the manufacturing industry. This approach is applied to compute the weights and the study ranks the most important risks for digital economy transformation in the manufacturing industry. In addition, the proposed method model is implemented to find industries’ priorities of different risks for the digital economy transformation of the manufacturing industry. Finally, a case study is carried out to assess the most important risk for the digital transformation of the manufacturing industry. The results show that lack of top management involvement (f₇), with a weight of 0.0563, an unstable market environment in terms of the uncertainty industry, and market volatility, with a weight of 0.0542, are the most considerable risks for the digital economy transformation (DET) of the manufacturing industry. Additionally, comparison and sensitivity analyses are made to illustrate the advantage of the presented approach.

近几十年来，数字技术在全球范围内严重改变了社会经济系统。不幸的是，随之而来的问题大多仍未得到调查。文献缺乏对开发数字能力过程中可能出现的风险的研究，这些风险对企业的创新增长有相当大的影响。此外，对于在数字经济背景下开展业务时可能出现的挑战，研究不足。此外，现代经济关系的整体体系并未解决数字经济特有的新风险的出现。因此，当前的研究旨在调查与将公司转型为数字经济相关的主要领域，同时考虑此类转型过程中遇到的新风险的影响。沿着这条思路，本文开发了一个决策支持模型，用于评估制造业数字经济转型中的风险。该方法用于计算权重，研究对制造业数字经济转型最重要的风险进行排名。此外，实施所提出的方法模型，为制造业数字经济转型寻找不同风险的行业优先级。最后，通过案例研究评估制造业数字化转型最重要的风险。结果表明，缺乏高层管理人员的参与（该方法用于计算权重，研究对制造业数字经济转型最重要的风险进行排名。此外，实施所提出的方法模型，为制造业数字经济转型寻找不同风险的行业优先级。最后，通过案例研究评估制造业数字化转型最重要的风险。结果表明，缺乏高层管理人员的参与（该方法用于计算权重，研究对制造业数字经济转型最重要的风险进行排名。此外，实施所提出的方法模型，为制造业数字经济转型寻找不同风险的行业优先级。最后，通过案例研究评估制造业数字化转型最重要的风险。结果表明，缺乏高层管理人员的参与（进行案例研究以评估制造业数字化转型的最重要风险。结果表明，缺乏高层管理人员的参与（进行案例研究以评估制造业数字化转型的最重要风险。结果表明，缺乏高层管理人员的参与（f ₇ )，权重为0.0563，不确定性行业市场环境不稳定，市场波动较大，权重为0.0542，是制造业数字经济转型（DET）面临的最大风险。此外，还进行了比较和敏感性分析，以说明所提出方法的优势。