The Organizational Impact of Digital Adoption: A Literature Review

The Organizational Impact of Digital Adoption: A Literature Review

Albérico Travassos Rosário (GOVCOPP, IADE, Universidade Europeia, Portugal)
DOI: 10.4018/978-1-7998-9008-9.ch002
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Diverse forms of digital innovations are at the forefront of transforming organizations, based on new digital technologies. Extant research has examined distinct themes such as gender equality in accessing digital technology, new methods on arts, health and education flexibility, just to mention a few. Nevertheless, existing research has not shown in full all the research streams, how they interplay with each other, and the potential knowledge development. Thus, a literature review on digital adoption on organizations in this post-COVID world is opportune. This chapter aims at identifying research trends in the field through a systematic bibliometric literature review (LRSB) of research on digital adoption. The review involves 55 documents indexed in the Scopus database. It follows that digital adoption results from the organizational ability to adopt and use appropriate technologies based on their business processes and needs.
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Methodological Approach

A Systematic Bibliometric Literature Review (LRSB) was conducted to identify appropriate sources providing information on digital adoption and its impacts on organizations. Literature reviews play a critical role in knowledge development by facilitating information gathering and evaluating existing literature. They allow contextualization of a topic or research problem based on the existing evidence (Rosário, 2021, Raimundo & Rosário, 2021, Rosário et al., 2021, Rosário & Cruz, 2019).

Similarly, bibliometric methods investigate an emerging research field since complete maps of information structure in specified literature streams (Rialti et al., 2019). LRSB adopts a scientific, replicable, and transparent research process that minimizes bias during evidence selection by offering a comprehensive audit trail of methods, judgments, and conclusions throughout the literature search (Linnenluecke et al., 2020). Given the increasing number of published scholarly articles on digital technologies, it has become gradually more difficult for professionals to track new developments due to time requirements and vast amounts of information.

Therefore, this LRSB aims to provide synthesized information from multiple academic sources to provide essential knowledge on digital adoption and its associated trends and implications. The findings can be used for decision-making in businesses and knowledge development in scholarly research and teachings (Table 1).

Table 1.
Process of systematic literature review
ExplorationStep 1definition of the research question
Step 2location of studies
Step 3selection and evaluation of studies
InterpretationStep 5analysis and synthesis
CommunicationStep 6presentation of results

Key Terms in this Chapter

Artificial Intelligence (AI): Ability of a software system or a computerized robot to perform tasks commonly associated with intelligent beings.

Whole Slide Image (WSI): Refers to the generation of digital images in video format to produce digital content.

Generation (Gen Y): Also called millennial generation, internet generation, born between 1980 and 1996.

Civil Society Organizations (CSOs): Group of people that operates in the community in a way that is distinct from both government and business (civil society; non-governmental; organization; and social movement organization).

Generation (Gen Z): Individuals born between the mid-1960s and the early 1980s, years following the post-war baby boom (1946-1964).

Technology Acceptance Model (TAM): Model to understand the causal relationship between external variables of user acceptance and the actual use of the information system, seeks to understand the behavior of users through knowledge of the utility and perceived ease of use.

Electronic Health Records (EHR): Electronic version of a patient's medical history, which is maintained by the provider over time, and may include key clinical data, demographics, progress notes, problems, medications, vital signs, medical history, immunizations, laboratory data, and miscellaneous reports.

Internet of Things (IoT): It refers to the digital interconnection of everyday objects with the internet, connection of objects to large databases and networks to the network of networks.

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