Conceptual framework to explore artificial intelligence technology (AIT) readiness and adoption intention in records and information management (RIM) practices: a proposal

IF 0.8 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Records Management Journal Pub Date : 2024-07-30 DOI:10.1108/rmj-09-2023-0046
Liah Shonhe
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Abstract

Purpose

This research proposal aims to address the growing significance of artificial intelligence (AI) technology in the field of records and information management (RIM) within the African context. Despite the increasing prevalence of AI, there is a lack of comprehensive understanding regarding the factors influencing AI readiness and adoption in RIM. The primary purpose of this paper is to explore these factors and propose an AI readiness and adoption conceptual framework.

Design/methodology/approach

A comprehensive literature review was conducted to identify the proposed variables and support the hypothesis development. The theoretical foundation of the proposed conceptual framework is based on three theories: the technology acceptance model (TAM), the technology readiness index (TRI) and the cognitive appraisal theory (CAT).

Findings

The literature reveals that there is a lack of empirical investigation of AI readiness and adoption within the RIM context. Through the proposed conceptual model, the researcher anticipates uncovering critical insights into the factors influencing AI readiness and adoption in RIM practices across African nations.

Research limitations/implications

The proposed model is not yet empirically tested and the study's scope is limited to African nations.

Originality/value

The proposed model takes a pioneering approach to empirically investigate AI readiness and adoption within the RIM field, specifically in an African context which is understudied.

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探索人工智能技术(AIT)在记录和信息管理(RIM)实践中的准备情况和采用意向的概念框架:一项建议
目的 本研究提案旨在探讨人工智能(AI)技术在非洲记录和信息管理(RIM)领域日益重要的意义。尽管人工智能日益普及,但对影响人工智能在记录和信息管理领域的准备和采用的因素却缺乏全面的了解。本文的主要目的是探讨这些因素,并提出一个人工智能就绪和采用的概念框架。提出的概念框架的理论基础基于三个理论:技术接受模型(TAM)、技术就绪指数(TRI)和认知评估理论(CAT)。通过提出的概念模型,研究人员预计将揭示影响非洲国家 RIM 实践中人工智能准备和采用情况的关键因素。研究局限性/影响提出的模型尚未经过实证检验,研究范围仅限于非洲国家。
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来源期刊
Records Management Journal
Records Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.50
自引率
7.10%
发文量
11
期刊介绍: ■Electronic records management ■Effect of government policies on record management ■Strategic developments in both the public and private sectors ■Systems design and implementation ■Models for records management ■Best practice, standards and guidelines ■Risk management and business continuity ■Performance measurement ■Continuing professional development ■Consortia and co-operation ■Marketing ■Preservation ■Legal and ethical issues
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