How-to conduct a systematic literature review: A quick guide for computer science research

Carrera-Rivera, Angela; Ochoa-Agurto, William; Larrinaga, Félix; Erle, Ganix Lasa

doi:10.1016/j.mex.2022.101895

Cited by 96 publications

(45 citation statements)

References 22 publications

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“…After reviewing a sample of systematic and non‐systematic reviews of the gig economy (see above), it was clear that there was a need for a systematic review of gig economy literature that focused explicitly on socio‐technical issues. The next step was to develop the protocol that would guide the research, a key component of which is the research question (Carrera‐Rivera et al, 2022; Tranfield et al, 2003). The research questions that motivate this SLR are:RQ1 To what extent are socio‐technical issues studied in the research literature that focuses on the platform‐mediated gig economy and investigates the complex interrelationships among people, technologies, and their contexts of use? RQ2 What are the main socio‐technical themes that characterize the findings, and what are the themes that are not well represented in the literature?…”

Section: Methodsmentioning

confidence: 99%

“…After reviewing a sample of systematic and non-systematic reviews of the gig economy (see above), it was clear that there was a need for a systematic review of gig economy literature that focused explicitly on socio-technical issues. The next step was to develop the protocol that would guide the research, a key component of which is the research question (Carrera-Rivera et al, 2022;Tranfield et al, 2003). The research questions that motivate this SLR are:…”

Section: Research Questionsmentioning

confidence: 99%

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Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

Dedema,

Rosenbaum

2024

Asso for Info Science & Tech

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The gig economy and gig work have grown quickly in recent years and have drawn much attention from researchers in different fields. Because the platform mediated gig economy is a relatively new phenomenon, studies have produced a range of interesting findings; of interest here are the socio‐technical issues that this work has surfaced. This systematic literature review (SLR) provides a snapshot of a range of socio‐technical issues raised in the last 12 years of literature focused on the platform mediated gig economy. Based on a sample of 515 papers gathered from nine databases in multiple disciplines, 132 were coded that specifically studied the gig economy, gig work, and gig workers. Three main socio‐technical themes were identified: (1) the digital workplace, which includes information infrastructure and digital labor that are related to the nature of gig work and the user agency; (2) algorithmic management, which includes platform governance, performance management, information asymmetry, power asymmetry, and system manipulation, relying on a diverse set of technological tools including algorithms and big data analytics; (3) ethical design, as a relevant value set that gig workers expect from the platform, which includes trust, fairness, equality, privacy, and transparency. A social informatics perspective is used to rethink the relationship between gig workers and platforms, extract the socio‐technical issues noted in prior research, and discuss the underexplored aspects of the platform mediated gig economy. The results draw attention to understudied yet critically important socio‐technical issues in the gig economy that suggest short‐ and long‐term opportunities for future research directions.

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Section: Methodsmentioning

confidence: 99%

Section: Research Questionsmentioning

confidence: 99%

Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

Dedema,

Rosenbaum

2024

Asso for Info Science & Tech

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“…For the purpose of this research, we focused on four databases—namely, Scopus, ProQuest, Web of Science (WoS) and the Learning Analytics and Knowledge (LAK) conference. These were selected for the following reasons: Scopus: Scopus covered 40,562 peer‐reviewed journals in 2022, which is twice as many as WoS (4831), and is currently the largest multidisciplinary database in existence (Carrera‐Rivera et al, 2022). ProQuest: A multidisciplinary resource featuring a diversified mix of scholarly journals, trade publications and other timely sources across the top 150 subject areas.…”

Section: Methodsmentioning

confidence: 99%

Understanding privacy and data protection issues in learning analytics using a systematic review

Liu,

Khalil

2023

Brit J Educational Tech

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The field of learning analytics has advanced from infancy stages into a more practical domain, where tangible solutions are being implemented. Nevertheless, the field has encountered numerous privacy and data protection issues that have garnered significant and growing attention. In this systematic review, four databases were searched concerning privacy and data protection issues of learning analytics. A final corpus of 47 papers published in top educational technology journals was selected after running an eligibility check. An analysis of the final corpus was carried out to answer the following three research questions: (1) What are the privacy and data protection issues in learning analytics? (2) What are the similarities and differences between the views of stakeholders from different backgrounds on privacy and data protection issues in learning analytics? (3) How have previous approaches attempted to address privacy and data protection issues? The results of the systematic review show that there are eight distinct, intertwined privacy and data protection issues that cut across the learning analytics cycle. There are both cross‐regional similarities and three sets of differences in stakeholder perceptions towards privacy and data protection in learning analytics. With regard to previous attempts to approach privacy and data protection issues in learning analytics, there is a notable dearth of applied evidence, which impedes the assessment of their effectiveness. The findings of our paper suggest that privacy and data protection issues should not be relaxed at any point in the implementation of learning analytics, as these issues persist throughout the learning analytics development cycle. One key implication of this review suggests that solutions to privacy and data protection issues in learning analytics should be more evidence‐based, thereby increasing the trustworthiness of learning analytics and its usefulness. Practitioner notesWhat is already known about this topic Research on privacy and data protection in learning analytics has become a recognised challenge that hinders the further expansion of learning analytics. Proposals to counter the privacy and data protection issues in learning analytics are blurry; there is a lack of a summary of previously proposed solutions. What this study contributes Establishment of what privacy and data protection issues exist at different phases of the learning analytics cycle. Identification of how different stakeholders view privacy, similarities and differences, and what factors influence their views. Evaluation and comparison of previously proposed solutions that attempt to address privacy and data protection in learning analytics. Implications for practice and/or policy Privacy and data protection issues need to be viewed in the context of the entire cycle of learning analytics. Stakeholder views on privacy and data protection in learning analytics have commonalities across contexts and differences that can arise within the same context. Before implementing learning analytics, targeted research should be conducted with stakeholders. Solutions that attempt to address privacy and data protection issues in learning analytics should be put into practice as far as possible to better test their usefulness.

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“…The data extraction process is a critical component of a systematic literature review, and it should be carefully tailored to align with the research questions (Carrera-Rivera et al, 2022). In this regard, Kitchenham and Charters (2007) have provided valuable insights by suggesting additional pertinent data points that can be captured to enrich the analysis.…”

Section: Data Extraction and Quality Assessmentmentioning

confidence: 99%

Understanding challenges of GDPR implementation in business enterprises: a systematic literature review

Smirnova,

Travieso-Morales

2024

IJLMA

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Purpose The general data protection regulation (GDPR) was designed to address privacy challenges posed by globalisation and rapid technological advancements; however, its implementation has also introduced new hurdles for companies. This study aims to analyse and synthesise the existing literature that focuses on challenges of GDPR implementation in business enterprises, while also outlining the directions for future research. Design/methodology/approach The methodology of this review follows the preferred reporting items for systematic reviews and meta-analysis guidelines. It uses an extensive search strategy across Scopus and Web of Science databases, rigorously applying inclusion and exclusion criteria, yielding a detailed analysis of 16 selected studies that concentrate on GDPR implementation challenges in business organisations. Findings The findings indicate a predominant use of conceptual study methodologies in prior research, often limited to specific countries and technology-driven sectors. There is also an inclination towards exploring GDPR challenges within small and medium enterprises, while larger enterprises remain comparatively unexplored. Additionally, further investigation is needed to understand the implications of emerging technologies on GDPR compliance. Research limitations/implications This study’s limitations include reliance of the search strategy on two databases, potential exclusion of relevant research, limited existing literature on GDPR implementation challenges in business context and possible influence of diverse methodologies and contexts of previous studies on generalisability of the findings. Originality/value The originality of this review lies in its exclusive focus on analysing GDPR implementation challenges within the business context, coupled with a fresh categorisation of these challenges into technical, legal, organisational, and regulatory dimensions.

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How-to conduct a systematic literature review: A quick guide for computer science research

Cited by 96 publications

References 22 publications

Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper

Understanding privacy and data protection issues in learning analytics using a systematic review

Understanding challenges of GDPR implementation in business enterprises: a systematic literature review

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