Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services: An Extended UTAUT2 Approach

Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services: An Extended UTAUT2 Approach

K. A. Asraar Ahmed, Anoop Kumar Sahu, Atul Kumar Sahu, Nitin Kumar Sahu
Copyright: © 2022 |Pages: 28
DOI: 10.4018/IJTHI.306227
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Abstract

The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is explored as a theoretical background to build extended UTAUT2 model with relevant variables for examining the cloud storage services technology acceptance at individual level to respond the current and future SCM operations. The research employed purposive sampling method for data collection. The questionnaire is distributed in booklet format to participants who had experienced in using online cloud storage service platforms (e.g., Google Drive, Microsoft One Drive, etc.). The data are collected from participates dwelling at Chennai metropolitan in South India. The data is analysed by using structural equation modelling technique through Smart PLS 2 software. The performance expectancy, social influence, trust, and perceived speed of access are found to be the strong significant determinants affecting and changing the behavioural intention of individual (customers) towards using cloud storage service technology in managing own firm SCM networks and operations.
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1. Introduction

SC is a network, which includes data/information storage, dissemination and serving by individuals/peoples/employees amongst many inbounded and out bounded operations of SC in firm. The supply chain management deals with data storage devices, which reserve information across many SC operations of inside and outside to add monetary value in of industries. Recently, it is realized that a cloud data storage service such as Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS),Function as a Service (FaaS), Machine Learning as a Service (MLaaS) etc. changed industries and enabled individuals/peoples/employees to manage SC operations, due to its huge advantages over traditional storage systems. The cloud storage aid user’s industries to securely store or share data without any apprehension towards loss of data. The major benefit of cloud storage is that the sufficient amount of data can be stored without carrying any physical data storage device. Marston et al (2011) defined it as “an information technology service model where computing services (both hardware and software) are delivered on-demand to customers over a network in a self-service fashion, independent of device and location. The resources required to provide the requisite quality-of-service levels are shared, dynamically scalable, rapidly provisioned, virtualized and released with minimal service provider interaction. User’s industries pay for the service as an operating expense without incurring any significant initial capital expenditure, with the cloud services employing a metering system that divides the computing resource in appropriate blocks” (p.177). There are many different deployment models of cloud computing exists like 1.) Software as a service (SaaS), 2. Platform as a Service (PaaS), 3. Infrastructure as a Service (IaaS), 4. Function as a Service (FaaS), and 5. Machine Learning as a Service (MLaaS) (see Table 1). This research focuses only on SaaS based cloud services. SaaS cloud is defined as “application or function made available to customers, by the provider, through various devices like web browser or program interfaces” (Wease et al., 2018, p.449).The Software as a Service (SaaS) based cloud storage drives like Google Drive, iCloud, DropBox, Microsoft OneDrive, or Office 365, …etc., which are safe to store and access the data from anywhere, at any place without any complexity(Kalim et al., 2020, Chae, et al., 2020, Chege et al., 2020, Reilly and Milner, 2020, Sahu and Khandekar, 2020, Kani et al., 2020).

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