Marketing analytics capability, artificial intelligence adoption, and firms? competitive advantage: Evidence from the manufacturing industry

被引:63
作者
Hossain, Md Afnan [1 ,4 ,6 ]
Agnihotri, Raj [2 ]
Rushan, Md Rifayat Islam [3 ]
Rahman, Muhammad Sabbir [4 ]
Sumi, Sumaiya Farhana [5 ]
机构
[1] Univ Wollongong, Sch Business, Wollongong, NSW 2522, Australia
[2] Iowa State Univ, Ivy Coll Business, Dept Mkt, Ames, IA 50011 USA
[3] Univ Manchester, Alliance Manchester Business Sch, Manchester M15 6PB, Lancs, England
[4] North South Univ, Sch Business & Econ, Dept Mkt & Int Business, Dhaka 1229, Bangladesh
[5] Univ Dhaka, Dhaka 1000, Bangladesh
[6] Univ Melbourne, Fac Business & Econ, Dept Management & Mkt, Melbourne, Vic 3010, Australia
关键词
Marketing analytics capability; AI adoption; Market sensing; Market seizing; Market reconfiguration; Manufacturing industry; B2B export market; BIG-DATA ANALYTICS; RESOURCE-BASED VIEW; BUSINESS MODEL INNOVATION; DYNAMIC CAPABILITIES; SOCIAL MEDIA; SENSING CAPABILITY; DECISION-MAKING; FINANCIAL PERFORMANCE; ORIENTATION; OPERATIONS;
D O I
10.1016/j.indmarman.2022.08.017
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data-driven analytics and artificial intelligence (AI) have become the most crucial aspects of today's industrial marketing management. Although many firms have embraced analytics and AI strategies, corresponding academic advances have been slow. This research investigates how industrial goods manufacturers sustain their competitive advantage in export markets, convincing buyers in a competitive data-rich business environment. The evidence has been taken from the RMG (readymade garment) industry, one of the largest manufacturing industries significantly attached to the export markets. Utilizing multi-phase research design, the study reveals that firms marketing analytics capability play a vital role in sensing, seizing, and reconfiguring the market, consequently leading to a sustained competitive advantage. The performance of sensing, seizing, and reconfiguring becomes higher for a firm when they adopt AI on the strength of the marketing analytics platform. These findings exhibit the latest avenue of exploration within marketing analytics and AI's academic research paradigm. Further, in practice, managers will be aware of the facts that create resilience in this specific industry context.
引用
收藏
页码:240 / 255
页数:16
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