建模物联网和大数据对业务绩效的影响

Jonny, Kriswanto, Matsumura Toshio
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引用次数: 1

摘要

随着能够通过审查连接各种设备的物联网的存在,数据量的增长正在迅速增加,被称为大数据。通过这些大数据,许多公司获得了洞察,作为更好决策的依据,从而获得竞争优势。然而,过去的文献表明,这些实证结果仍然是碎片化的。因此,本文旨在提出一个物联网大数据如何影响业务绩效的模型。为了建模的目的,包括一些元素,如:1)业务流程改进,2)营销策略,3)业务管理创新,4)业务模型和组织文化,5)隐私和道德,6)业务绩效。此外,本文还对制造业的管理人员进行了抽样,以回答有关模型开发的几个问题。为了便于分析,我们运行Smart PLS 3.0来评估模型的适应度,要求模型的拟合优度(GoF)大于0.38。经过仔细的操作,该模型具有鲁棒性和准确性。从这个模型可以看出,1)业务模式和组织文化正向影响业务流程改进,隐私和道德负向影响业务流程改进;2)业务流程改进正向影响营销策略、业务管理创新和业务绩效;3)营销策略和业务管理创新都正向影响业务绩效。
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Modeling IoT and Big Data Impacts to Business Performance
With the existence of Internet of Things that have ability to connect various devices through censors, the growth of data volume is increasing rapidly known as Big Data. Through this Big Data, many companies gained its insights as basis for better decision making to gain competitive advantage. However, past literatures have shown that these empirical results are still fragmented. Therefore, this paper aims to propose a model on how IoT Big Data impacts business performance. For modeling purposes, some elements are included such as: 1) Business Process Improvement, 2) Marketing Strategies, 3) Business Management Innovation, 4) Business Models and Organizational Culture, 5) Privacy and Ethics, 6) Business Performance. Furthermore, sampling of managers in manufacturing industry are gained to answer several questions regarding the model development. For analysis purposes, Smart PLS 3.0 is run to evaluate the fitness of the model with requirement of Goodness of Fit (GoF) above 0.38. After careful conduct, the model is robust and accurate. From this model it can be said that 1) Business Models & Organizational Culture positively influence Business Process Improvement while Privacy and Ethics negatively influence it, 2) Business Process Improvement positively influences Marketing Strategies, Business Management Innovation and Business Performance, and 3) both Marketing Strategies and Business Management Innovation positively influence Business Performance.
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