Value Creation and Capture with Big Data in Smart Phones Companies

Maniyassouwe Amana (), Pingfeng Liu and Mona Alariqi ()
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Maniyassouwe Amana: School of Economics, Wuhan University of Technology, Wuhan 430070, China
Pingfeng Liu: School of Economics, Wuhan University of Technology, Wuhan 430070, China
Mona Alariqi: School of Economics, Wuhan University of Technology, Wuhan 430070, China

Sustainability, 2022, vol. 14, issue 23, 1-22

Abstract: With the advent of social media, the volume of data generated on the internet has exploded due to the growing number of social network users and their interactions on the internet. Given that, in the age of the digital economy, data has become raw material in terms of decision making, it is important and urgent to conduct a study to understand the effect of big data on value creation and value capture. The goal of the current research is to study the share of big data in value creation and capture in the companies Apple and Samsung. The main question addressed by this article is whether the increasing volumes of data in the digital age can improve the creation and capture of value. To achieve this goal, we considered active users of the three main social networks that Samsung and Apple companies use for their advertising to describe “big data”. We measure the “value creation” through the hardware component of the smartphone, such as the battery, camera, CPU speed, RAM (Random-Access Memory), screen size, and storage. Profit, satisfaction, and unit of phone sold are the three manifest variables considered to measure “Value capture”. As a methodology, we used partial least squares and structural equation modeling to obtain the results. The pattern enables us to measure the effect of big data on value creation and value capture. The results indicate that CPU speed, RAMs, and battery capacity are the principal variables that impact the “value creation” in terms of customer need and satisfaction.

Keywords: smartphones; big data; value creation; value capture; structural model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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