Purchase Decision Support with Internet of Things-Based Systems

Monika Kulisz (), Jerzy Lipski and Agnieszka Bojanowska
Additional contact information
Monika Kulisz: Lublin University of Technology
Jerzy Lipski: Lublin University of Technology
Agnieszka Bojanowska: Lublin University of Technology

Chapter Chapter 13 in Experimental and Quantitative Methods in Contemporary Economics, 2020, pp 173-185 from Springer

Abstract: Abstract While current studies in the field of Internet of Things (IoT) tend to focus on the technical aspects, such as programming, hardware and software, publications on the behavioural aspects of IoT remain few. Therefore, the primary objective of this chapter is to contribute to the discussion by providing a conceptual framework for an IoT-based system supporting customer purchase decisions. The system operates on several levels. The major level of operation is customer behaviour and purchase decision support. The second level concerns generating information regarding the shelf content status and reporting on the dynamics of stock-level changes, in order to shape an appropriate marketing strategy and develop effective stocking management processes. The third foundation of the system encompasses the technology and the essential elements ensuring efficient operation of the system. The capabilities of IoT are constantly progressing and expanding, thus leading to the development of software and hardware tools compatible with particular phases of service and customer support process. The presented study employs two research methods: self-observation and the literature study. The proposed solution requires that the system is equipped with necessary software and sensors connected in a wireless data transmission network of Internet of Things.

Keywords: Internet of Things; Consumer; Purchase decision support (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-30251-1_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030302511

DOI: 10.1007/978-3-030-30251-1_13

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().