The Effect of Omni Channel Marketing on the Online Search Behavior of Jakarta Retail Consumers with Theory of Planned Behavior (TPB) Approach

Abstract

University. Today ICT plays a very important role in the industry community to interact, exchange information and to support business processes that they move to digital transformation. So, our theme of this conference is ICT for Fostering and Empowering the Society. First of all, I would like to extend my sincere appreciation to IEEE Indonesian Section for continuous support and to the honorable keynote speakers for sharing knowledge and research experiences. I thank you very much to committees and volunteers, especially from School of Information Systems. I proudly inform that ICIMTech 2019 received 276 papers and 123 high quality of papers were accepted and would be presented in this conference. They are from several countries overseas and Indonesia. More than that we have experts from academia and professionals will share their knowledge and research experiences related with our theme of conference. We believe you will enjoy and improve your knowledge and experiences as well. This event is a great opportunity for social networking and there are discussions among us in current and latest Information Management and Technology. Hopefully, as researchers, academicians, professionals, and students from various research background will contribute on improvement of knowledge and experiences, especially in the area of Big Data and Data Mining, Business Intelligent, e-Business,

The emergence of B2B omni-channel marketing in the digital era: a systematic literature review

“…Within OCM, the customer is free to move between a wide variety of online and offline mediums as part of a single transactional experience (Cummins et al , 2016), reducing the traditional delineation between the mediums. Riantini (2019) presents the only research relating to online searches from an OCM perspective, applying the theory of planned behaviour to profile online search habits of omni-channel shoppers in Jakarta. In the remaining studies reviewed (Table 3), no one channel type is considered superior, and the OCM strategy specifies the utilisation of strategic considerations for both online and offline channel and touchpoint usage in consistent, succinct ways (Hilken et al , 2018).…”

An Effect Analysis Model for Corporate Marketing Mix Based on Artificial Neural Network

“…The existing studies on corporate marketing mix mainly propose innovative theories and models [10][11][12][13][14]. Kouchaki and Jami [15] sorted out the four major strategies of marketing mix, pointing out that marketing mix is mainly affected by the selection of target market, corporate marketing environment, corporate strategy of marketing development, and situation of corporate resources.…”