人工智能与我一起思考,还是为我思考?

Zaenur Rizky, Chusnul Rofiah
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引用次数: 0

摘要

本研究旨在研究和分析人工智能在市场营销中的战略应用策略,通过制定一个框架,系统地指导市场营销中的人工智能规划策略,并可通过对 J&T 公司服务策略的决策进行跟踪。研究地点是指研究的对象和数据来源于被研究的地方,这样获得的信息才能为研究提供准确的数据和真相。J&T Cargo 是 J&T 集团旗下的一家技术创新型快递公司。本次调研的地点为营销经理、人力资源经理和营销专家团队。通过使用罗菲亚(Rofiah)(2022 年)的手动数据分析程序(MDAP)进行数据分析,从访谈结果以及来源、方法和理论的三角分析中得出结论,J&T 货运公司的人工智能营销战略用于确定偏好。各种消费者细分;微细分客户;目标原因营销推广;确定最佳目标;提炼基于客户的感知图;定位口号;心理消费者细分;旅游消费者细分;新客户推广目标;目标数字消费者;基于品牌的目标客户,目的是监测当地市场的发展,从而使 J&T Cargo 在这一业务中不落后于其他竞争对手。本文还为战略营销研究做出了贡献,它提供了一种系统而严谨的方法来确定研究缺口,在战略营销实践研究和人工智能之间架起了一座桥梁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Think with Me, Or Think for Me?
This research aims to study and analyze strategies for the strategic application of artificial intelligence in marketing by developing a framework that guides artificial intelligence planning strategies in marketing systematically and can be followed up by making decisions about service strategies at the J&T Company. The research locus is the object and source of data from the place being researched so that the information obtained can provide accurate data and truth in research. J&T Cargo is a technologically innovative express company under the auspices of the J&T Group. The locus of this research was carried out at: Marketing manager, HR manager and marketing expert team. The qualitative approach carried out through the data analysis technique used is the Manual Data Analysis Procedure (MDAP) by Rofiah, (2022), from the results of interviews accompanied by triangulation of sources, methods and theories it can be concluded that artificial intelligence for marketing strategies at J&T Cargo is used to determine preferences. Various Consumer Segments; Micro Segment Customers; Target Cause Marketing Outreach; Identify the Best Target; Refining Customer Based Perception Maps; Positioning Slogan; Psychographic Consumer Segmentation; Tourism Consumer Segment; New Customer Promotion Target; Target Digital Consumers; Target Customers Based on Brand with the aim of monitoring local market developments, so that in this business J&T Cargo is not left behind compared to other competitors. This paper also contributes to strategic marketing research by providing a systematic and rigorous approach to identifying research gaps that bridge strategic marketing practice research and artificial intelligence.
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