4.6 Article

Leading Logistics Firms' Re-Engineering through the Optimization of the Customer's Social Media and Website Activity

期刊

ELECTRONICS
卷 12, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/electronics12112443

关键词

re-engineering; digital marketing; logistics; big data; web analytics; customer behavior; FCM simulation; change management

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To gain a competitive edge, logistics companies should adopt innovative strategies, such as redesigning their marketing plan based on customer activity on social media and websites. This study aims to help logistics firms enhance their digital marketing effectiveness through marketing re-engineering and change management. The methodology involved collecting behavioral big data, conducting regression and correlation analyses, and creating a fuzzy cognitive map simulation to optimize strategies. The findings indicate that redesigning marketing strategies and utilizing customer behavioral big data can significantly impact digital marketing performance. Social media big data can also influence change management and re-engineering processes by reducing costs and increasing visibility.
To acquire competitive differentiation nowadays, logistics businesses must adopt novel strategies. Logistics companies have to consider whether redesigning their marketing plan based on client social media activity and website activity might increase the effectiveness of their digital marketing strategy. Insights from this study will be used to help logistics firms improve the effectiveness of their digital marketing as part of a marketing re-engineering and change management process. An innovative methodology was implemented. Collecting behavioral big data from the logistics companies' social media and websites was the first step. Next, regression and correlation analyses were conducted, together with the creation of a fuzzy cognitive map simulation in order to produce optimization scenarios. The results revealed that re-engineering marketing strategies and customer behavioral big data can successfully affect important digital marketing performance metrics. Additionally, social media big data can affect change management and re-engineering processes by reducing operational costs and investing more in social media visibility and less in social media interactivity. The following figure presents the graphical presentation of the abstract.

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