Questionnaire-based Approach on Theoretical Framework for Digital Transformation and Technology Ecosystem in Enterprise Data Storage Organizations: Facilitating the Adoption of Emerging Technologies

Abstract

This research paper explores the pivotal role of digital transformation and technology ecosystems in the data storage industry, focusing on the adoption of emerging technologies. The study constructs a comprehensive theoretical framework through a questionnaire-based approach by integrating the Technology Acceptance Model (TAM) and extending it with the Stimulus Theoretical Framework. The primary aim is to identify critical factors influencing successful adoption, considering the current state of digital transformation and the dynamics of technology ecosystems within organizations.

The literature review explores influential theories like TAM, Diffusion of Innovations, Theory of Task Technology Fit, and the Unified Theory of Acceptance and Use of Technology, informing the research's framework with insights into consumer acceptance of new technologies.

Using a mixed-methods approach, the study incorporates qualitative insights from a multi-case study employing systematic thematic content analysis, categorizing user acceptance of 5G, Artificial Intelligence, Cloud Computing, and Edge in major storage entities: Dell Technologies, IBM, HPE, Hitachi Vantara, and NetApp.

For the quantitative aspect, a structured questionnaire based on the Technology Acceptance Model (TAM) and the Stimulus Theoretical Framework was used to gather insights on digital transformation, technology ecosystems, perceived usefulness, ease of use, and intention to use from senior and mid-level employees in storage organizations. A pilot study with 45 responses was conducted, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS 4. The Confirmatory Factor Analysis, employing the same software and sample size, evaluated the loading of items onto their respective constructs. The five key constructs include digital transformation, technology ecosystem, Perceived Usefulness (PU), Perceived Ease of Use (PEU), Intention to Use (IU), and technology adoption outcome. Our findings shed light on the intricate dynamics within these constructs and highlight the importance of early detection and rectification of questionnaire deficiencies.

The results and discussion section emphasizes the impact of digital transformation and technology ecosystems, with perceived usefulness and ease of use as key motivators influencing employees' responses and intention to adopt. The study systematically analyzes expected technology adoption outcomes, contributing to a deeper understanding of successful technology integration in the enterprise storage sector.