ABSTRACT

This paper identifies the various significant factors that contribute to the Internet of Things (IoT) adoption at the Indian Oil Marketing Companies (OMCs') Retail Oil Outlets (ROO) and empirically tests the model of constituents for the same. The logistic regression analysis was applied, using a survey of 402 respondents, to predict the adoption of IoT at the OMCs' ROO. Using the 7 factors as predictors, the regression analysis output showed a significant impact from 5 factors-People, Technologies, Processes, Data Security, and Competitive Advantage. To transform the existing ROO into “smart pumps, and to fully realize the expected benefits from the investment in IoT, the OMCs' need to give increased emphasis to these 5 factors. It tests the applicability of the PolySocial Reality (PoSR) framework and Thing Theory at the OMCs' ROO extending the literature by incorporating 'processes' to the existent framework of people, devices and communication technologies within the IoT ecosystem. “Data Security” and “Interoperability” tie up these four components together enabling a seamless flow of digital data among them and empowering the organization to realize “competitive advantage”

摘要

本文确定了促成印度石油营销公司（OMC）的零售油店（ROO）采用物联网（IoT）的各种重要因素，并通过实证检验了这些因素的模型。使用对402位受访者的调查进行了Logistic回归分析，以预测OMC的ROO中将采用IoT。使用这7个因素作为预测因子，回归分析输出显示出来自5个因素的重大影响-人，技术，流程，数据安全性和竞争优势。为了将现有的ROO转变为“智能泵”，并充分实现物联网投资的预期收益，OMC需要更加重视这五个因素。它在OMC上测试了PolySocial Reality（PoSR）框架和事物理论的适用性 ROO通过将“流程”整合到物联网生态系统中现有的人员，设备和通信技术框架来扩展文献。“数据安全”和“互操作性”将这四个组件结合在一起，使数字数据之间可以无缝流动，并使组织能够实现“竞争优势”