مقاله انگلیسی رایگان در مورد مطالعه درمورد IoT، پذیرش تصمیمات در آمایش و مدیریت زنجیره تامین – امرالد 2017

The Internet of Things (IoT) has inspired many innovative applications of logistics and supply chains in recent years and will have far-reaching influences on future supply chain management. The ideal IoT vision is that each object has its own Digital Object Identifier (DOI) (Gershenfeld et al., 2004), and it is now achievable to create a global network with objects as the infrastructure through IoT (Kortuem et al., 2010). The goal of IoT is to create a global network infrastructure to facilitate the easy exchange of commodities, services, and information (Liu and Sun, 2011). The application of IoT technology in the industry, such as manufacturing and supply chains, is also known as Industrial IoT (IIoT) (Hairong et al., 2014; Li et al., 2014). IoT or IIoT has been applied by some enterprises to assist in the collection of on-site real-time information, which has successfully improved and promoted operating efficiency. The innovation of IoT benefits companies in fields related to logistics and affects the operations of enterprises (Grawe, 2009). Although the overall expenditures of IoT hardware, such as RFID tags and readers, have dropped significantly in recent years, many firms still hold hesitant and conservative attitudes toward the application of IoT in supply chain management. The aim of this paper is thus to explore what factors affect an enterprise’s adoption intention of IoT in logistics and supply chain management. Studying logistics innovation adoption across a supply chain, such as for IoT, is a relatively new and complex issue. Most studies on IoT or logistics innovation adoption use only a single research method. In contrast, the mixed research method employs quantitative and qualitative research methods, either concurrently or sequentially, to understand a research topic of interest. (Venkatesh et al., 2013). Even as the single-method (qualitative or quantitative alone) approach might be insufficient to describe the complex decision behavior of IoT technology adoption across multiple supply chain organizations, there are few mixed research studies in the literature. Although information system (IS) research communities encourage methodological diversity, there is a scarcity of IS research using mixed research methods (Venkatesh et al., 2013). Similarly, mixed methods research is rarely used in supply chain management-related disciplines (Golicic and Davis, 2012).