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Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach
Journal of Enterprise Information Management ( IF 5.661 ) Pub Date : 2023-10-18 , DOI: 10.1108/jeim-05-2023-0232
Mahak Sharma , Ruchita Gupta , Padmanav Acharya

Purpose

This paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.

Design/methodology/approach

The case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.

Findings

The results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.

Practical implications

Lack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.

Originality/value

This is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.



中文翻译:

技术的采用和预测:使用系统方法对云采用的动态进行建模

目的

本文旨在研究印度背景下云计算 (CC) 采用因素之间因果关系的动态性,同时考虑云采用者和云提供商的观点。

设计/方法论/途径

采用案例研究方法来了解因素之间的动态关系。使用印度具体案例的数据,绘制了因果循环图(CLD)。系统动态建模 (SDM) 和仿真用于研究这些关系及其对采用率的影响。

发现

结果表明,CC的采用取决于多种因素,例如说服因素(节省时间、节省成本和口碑)和约束因素(安全和经济损失)。然而,可以看出,采用率对每次接触和口碑采用的变化非常敏感。此外,采用者公司的上市时间更快,这给公司带来了额外的优势。此外,通过 CC 服务,公司可以满足其项目或客户的要求,而无需对信息技术 (IT) 服务进行前期投资。

实际影响

缺乏安全性、标准化和未定义的服务级别协议是一些紧迫问题,使公司难以评估服务的性能和可靠性。因此,需要立即关注对 CC 及其服务制定透明的政策,从而建立信任。

原创性/价值

这是第一个也是唯一一个尝试探索和实证测试关键因素动态的工作,同时考虑采用者和提供者的观点,做出采用决策。这项研究展示了一家公司从成为潜在采用者到采用者和持续用户的历程。这项工作还实证测试了技术采用者如何从该技术中受益。

更新日期:2023-10-18
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