In the last decade we have witnessed a growing amount of interest for developing better ‘exchange’ between universities, research centres and technology parks and companies, governments and other institutions. The biggest aim of those projects is, on the one hand, to make sure that valuable research does not stay hidden in the ivory tower of academia, and, on the other, that there are clear indications for what kinds of solutions are needed in the market. Due to the lack of empirical research in the topic, the focus of this paper is to establish and explain which factors determine the demand for technological services and how they can contribute to the promotion of greater university–business collaboration in R&D and innovation. To achieve that goal, we applied the PLS-SEM (Partial Least Squares Structural Equation Modelling) method in order to create a theoretical model, which was then verified through the application of the CTA (Confirmatory Tetrad Analysis) with the purpose of evaluating whether the specification of the chosen measurement model based on the theoretical rationale was supported by data. The test run was performed on 96 companies from the Spanish region of Huelva. It showed that only four of the considered factors, namely influence of the environment, market conditions, technology adoption decision and economic characteristics of the company, constituted 65.76% of the variance of the endogenous latent Demand for Technological Services. We believe that thanks to the proposed model and its adaptivity, it is possible to design relevant policies and undertakings aimed at promoting the research-business collaboration at the regional, national and international levels.

中文翻译：

---

大学与企业的研发与创新合作——西班牙韦尔瓦省的PLS-SEM模型

在过去的十年中，我们见证了在大学、研究中心和技术园区与公司、政府和其他机构之间发展更好的“交流”的兴趣越来越大。这些项目的最大目标一方面是确保有价值的研究不会被隐藏在学术界的象牙塔中，另一方面，对于需要什么样的解决方案有明确的指示。市场。由于该主题缺乏实证研究，本文的重点是确定和解释哪些因素决定了对技术服务的需求，以及它们如何促进更大程度的大学与企业在研发和创新方面的合作。为了实现这一目标，我们应用了 PLS-SEM（偏最小二乘结构方程建模）方法来创建一个理论模型，然后通过应用 CTA（确认性四元分析）进行验证，目的是评估所选测量的规格是否符合基于理论原理的模型得到了数据的支持。测试运行在西班牙韦尔瓦地区的 96 家公司上进行。结果表明，仅考虑环境、市场条件、技术采用决策和公司经济特征的影响四个因素，就构成了内生潜在技术服务需求方差的65.76%。我们相信，由于提出的模型及其适应性，