scholarly journals Characterization of the Application of Service-Oriented Design Principles in Practice: A Systematic Literature Review

2016 ◽  
Vol 11 (5) ◽  
pp. 403-417 ◽  
Author(s):  
Michel S. Soares ◽  
◽  
Joyce M. S. França
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Design Principles ◽  
Service Oriented

scholarly journals Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda

2021 ◽  
Author(s):  
Livio Cricelli ◽  
Michele Grimaldi ◽  
Silvia Vermicelli
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Open Innovation ◽  
Innovation Management ◽  
Academic Research ◽  
Future Research ◽  
Four Dimensions ◽  
Word Analysis ◽  
The Relationship

AbstractIn recent years, Open Innovation (OI) and crowdsourcing have been very popular topics in the innovation management literature, attracting significant interest and attention, and inspiring a rich production of publications. Although these two topics share common themes and address similar managerial challenges, to the best of our knowledge, there is no systematic literature review that digs deep into the intersection of both fields. To fill in this gap a joint review of crowdsourcing and OI topics is both timely and of interest. Therefore, the main objective of this study is to carry out a comprehensive, systematic, and objective review of academic research to help shed light on the relationship between OI and crowdsourcing. For this purpose, we reviewed the literature published on these two topics between 2008 and 2019, applying two bibliometric techniques, co-citation and co-word analysis. We obtained the following results: (i) we provide a qualitative analysis of the emerging and trending themes, (ii) we discuss a characterization of the intersection between OI and crowdsourcing, identifying four dimensions (strategic, managerial, behavioral, and technological), (iii) we present a schematic reconceptualization of the thematic clusters, proposing an integrated view. We conclude by suggesting promising opportunities for future research.

A systematic literature review on disinformation: Toward a unified taxonomical framework

2020 ◽  
pp. 146144482095929 ◽  
Author(s):  
Eleni Kapantai ◽  
Androniki Christopoulou ◽  
Christos Berberidis ◽  
Vassilios Peristeras
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Design Principles ◽  
Online Information ◽  
Multidisciplinary Research ◽  
False Information ◽  
Different Types ◽  
Implicit And Explicit ◽  
Information Landscape

The scale, volume, and distribution speed of disinformation raise concerns in governments, businesses, and citizens. To respond effectively to this problem, we first need to disambiguate, understand, and clearly define the phenomenon. Our online information landscape is characterized by a variety of different types of false information. There is no commonly agreed typology framework, specific categorization criteria, and explicit definitions as a basis to assist the further investigation of the area. Our work is focused on filling this need. Our contribution is twofold. First, we collect the various implicit and explicit disinformation typologies proposed by scholars. We consolidate the findings following certain design principles to articulate an all-inclusive disinformation typology. Second, we propose three independent dimensions with controlled values per dimension as categorization criteria for all types of disinformation. The taxonomy can promote and support further multidisciplinary research to analyze the special characteristics of the identified disinformation types.

Defining the big social data paradigm through a systematic literature review approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gianluca Solazzo ◽  
Gianluca Elia ◽  
Giuseppina Passiante
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Web Of Science ◽  
Future Research ◽  
Content Type ◽  
Definition Of ◽  
Practical Implications

Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources. Design/methodology/approach The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques. Findings The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective. Research limitations/implications The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field. Practical implications Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories. Originality/value The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.

A systematic literature review on the detection of smells and their evolution in object-oriented and service-oriented systems

2018 ◽  
Vol 49 (1) ◽  
pp. 3-39 ◽  
Author(s):  
Fatima Sabir ◽  
Francis Palma ◽  
Ghulam Rasool ◽  
Yann-Gaël Guéhéneuc ◽  
Naouel Moha
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Object Oriented ◽  
Service Oriented

Process Flexibility in Service Orchestration: A Systematic Literature Review

2014 ◽  
Vol 23 (03) ◽  
pp. 1430001 ◽  
Author(s):  
Aitor Murguzur ◽  
Karmele Intxausti ◽  
Aitor Urbieta ◽  
Salvador Trujillo ◽  
Goiuria Sagardui
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Process Models ◽  
Future Research ◽  
Service Orchestration ◽  
Process Flexibility ◽  
Research Areas ◽  
Complex Process ◽  
Service Oriented ◽  
Shed Light

In dynamic environments, changes are often unpredictable and complex. Process models cannot be fully specified up-front and process flexibility becomes a key issue. Enterprise applications and systems supporting such processes are increasingly being architected in a service-oriented style. In this light, our goal is to analyze service orchestration approaches from a process flexibility perspective. Through a systematic literature review, we evaluate 17 service orchestration approaches and analyze their support for: (i) variability, support for large collections of process variants, (ii) adaptation, need for instance changes during runtime, (iii) evolution, need for schema changes during runtime, and (iv) looseness, need for loosely-specified models. The review findings provide a clearer understanding of process flexibility requirements and service orchestration mechanisms that support them, helping us to understand the limitations and shed light on future research areas.

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