Information Privacy Assimilation

Abstract

This paper proposes a framework to understand organizations' perspectives while safeguarding customers' information privacy. Following a detailed literature review, a broad conceptual model was developed to build a theory based on a multi-site, multi-case study approach. The current manuscript treats information privacy as distinct from information security. From an organizational standpoint, this research reveals that legal policy, technology, and industry standards drive privacy assimilation. At a detailed level, adherence to compliance, competitive best practices, and data management controls significantly impact an organization's opportunistic perspective, resulting in higher-order assimilation (infusion) of organizational privacy practices. Resistance to compliance, investment cost, and reactive approach results in lower-order assimilation (adaptation) of organizational privacy practices. This study delivers practical implications related to how businesses perceive privacy practices while maintaining the right balance of privacy risks and opportunities.

An Integrative Theoretical Framework for Responsible Artificial Intelligence

“…Technological change rates are crucial, as Chatterjee et al (2022) found that technological turbulence negatively impacts automated decision-making and operational efficiency in business-to-business relationships. Furthermore, resistance to compliance, investment costs, and a reactive approach to privacy practices pose additional challenges, underlining the need for a RAI approach to address these issues effectively (Halder et al, 2022).…”

“…Recent technological advancements in AI, cloud computing, 5G, and Web3 necessitate either more regulatory actions, which may include laws, regulations, and antitrust initiatives, or more international data standards, improved data architecture, and greater interoperability of data via improved interfaces (Dąbrowska et al, 2022). The findings of Halder et al (2022) underscored the influence of legal policy on organizations' privacy practices, emphasizing the pivotal role of legal frameworks in shaping responsible AI governance. The relevant legal frameworks for AI will depend on the specific context and application of AI challenges or following national or international laws.…”