Understanding Big Data Through a Systematic Literature Review: The ITMI Model

2019 ◽  
Vol 18 (04) ◽  
pp. 1433-1461 ◽  
Author(s):  
Andrea De Mauro ◽  
Marco Greco ◽  
Michele Grimaldi
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
The Body ◽  
Professional Literature ◽  
Body Of Knowledge ◽  
Emerging Trends ◽  
Unsupervised Algorithms ◽  
Topic Structure

The concept of Big Data in academic and professional literature has developed in a euphoric, chaotic, and unstructured manner. Decision-making is increasingly relying on Big Data, resorting to novel analytic methodologies that are applied in many different industries. This study aims to provide clarity over the Big Data phenomenon by means of a comprehensive and systematic literature review, able to produce a clear description of what Big Data is today, a structured classification of the various streams of current research, and a list of promising emerging trends. This study analyses a corpus of 4,327 articles through a novel combination of unsupervised algorithms that produces a hierarchical topic structure which empirically validates and enhances the “Information,” “Technology,” “Methods,” and “Impact” conceptual model of Big Data, identifying 17 fundamental topics and providing researchers and practitioners with a meaningful overview of the body of knowledge and a proposed research agenda.

Business model innovation: past research, current debates, and future directions

2017 ◽  
Vol 10 (3) ◽  
pp. 342-359 ◽  
Author(s):  
Mokter Hossain
Keyword(s):  
Literature Review ◽  
Business Model ◽  
Systematic Literature Review ◽  
Current Knowledge ◽  
Past Research ◽  
Business Model Innovation ◽  
The Body ◽  
Future Research ◽  
Content Type ◽  
Body Of Knowledge

Purpose The purpose of this paper is to provide state-of-the-art knowledge about business model innovation (BMI) and suggest avenues for future research. Design/methodology/approach A systematic literature review approach was adopted with thematic analysis being conducted on 92 articles. Findings The body of knowledge for this concept is in its infancy and is highly fragmented. This study therefore attempts to consolidate this fragmented knowledge. It reveals dominant themes, establishes coherence, and identifies conflicting arguments in the current literature. It also points out gaps in the research and highlights new directions for research. Research limitations/implications This study analyzed articles that were found based on a systematic literature review approach. Practical implications This study identifies some fundamental issues that managers need to understand regarding BMI. Originality/value The main value of this study lies in its synthesis of the current knowledge of BMI.

scholarly journals Big data and analytics in hospitality and tourism: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Science ◽  
The Body ◽  
Future Research ◽  
Content Type ◽  
Tourism Management ◽  
Scientific Outputs ◽  
Hospitality And Tourism

Purpose The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps and to develop an agenda for future research. Design/methodology/approach This research is based on a systematic literature review of academic papers indexed in the Scopus and Web of Science databases published up to 31 December 2020. The outputs were analyzed using bibliometric techniques, network analysis and topic modeling. Findings The number of scientific outputs in research with hospitality and tourism settings has been expanding over the period 2015–2020, with a substantial stability of the areas examined. The vast majority are published in academic journals where the main reference area is neither hospitality nor tourism. The body of research is rather fragmented and studies on relevant aspects, such as BD analytics capabilities, are virtually missing. Most of the outputs are empirical. Moreover, many of the articles collected relatively small quantities of records and, regardless of the time period considered, only a handful of articles mix a number of different techniques. Originality/value This work sheds new light on the emergence of a body of research at the intersection of hospitality and tourism management and data science. It enriches and complements extant literature reviews on BD and analytics, combining these two interconnected topics.

scholarly journals WHY HOSPITAL WASTE MANAGEMENT IS IMPORTANT TO THE ENVIRONMENT?: A SYSTEMATIC LITERATURE REVIEW

2021 ◽  
Vol 11 ◽  
pp. 287-295
Author(s):  
Suriati Deraman ◽  
Lee Khai Loon ◽  
Puteri Fadzline Muhamad Tamyez
Keyword(s):  
Environmental Impact ◽  
Literature Review ◽  
Waste Management ◽  
Systematic Literature Review ◽  
The Body ◽  
Future Research ◽  
Hospital Waste ◽  
Body Of Knowledge ◽  
Number Of Patients ◽  
Waste Segregation

Today, the healthcare industry has grown in importance as the number of hospitals has increased in response to the increased number of patients. This signifies that the world will be facing a more critical environment as a result of waste generation by hospitals. However, there are still insufficient studies that systematically review the existing literature on hospital waste management. Thus, this systematic literature review focuses on hospital waste management and its environmental impact. The results from Google Scholar and Science Direct show 80 articles starting from 2015 to 2020. Only 12 articles fulfil the criteria for further analysis. Most studies indicated the presence of hospital waste procedures such as waste segregation, a lack of awareness among clinical staff, poor facilities and government enforcement. The study contributes to the body of knowledge and the industry. This study explains the importance and environmental impact of hospital waste management.  A recommendation for future research is provided.

scholarly journals Challenges for Open Education with Educational Innovation: A Systematic Literature Review

2020 ◽  
Vol 12 (17) ◽  
pp. 7053 ◽  
Author(s):  
Maria Soledad Ramirez-Montoya
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Educational Innovation ◽  
Quality Criteria ◽  
The Body ◽  
Decision Makers ◽  
Open Education ◽  
Body Of Knowledge ◽  
Yield Information ◽  
Future Challenges

Open education can enrich learning environments and support the processes of educational innovation. The objective of this article is to analyze the evidence published about open education in the period 2014–2019 to identify future challenges. We performed a Systematic Literature Review (SLR), identifying 245 articles on the topic of open education in the databases, Web of Science (WOS), and Scopus, from January 2014 to June 2019. We filtered to obtain the most relevant data by applying inclusion, exclusion, and quality criteria. The results yield information on (1) the characteristics of the publications; (2) the methodological trends; (3) the central and transversal dimensions of the topic; and (4) the innovative educational practices that have been implemented. The article concludes with a presentation of the challenges that are linked to coverage, empirical evidence, co-creation, and innovation. The contribution of this research is to add value to the body of knowledge available to trainers, researchers, and decision-makers interested in open education and educational innovation.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Application of semantic technologies in bibliographic databases

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137
Author(s):  
Tsvetanka Georgieva-Trifonova ◽  
Kaloyan Zdravkov ◽  
Donika Valcheva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Keyword Search ◽  
Bibliographic Databases ◽  
Future Research ◽  
Semantic Technologies ◽  
Scientific Review ◽  
Content Type ◽  
Research Questions

Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

scholarly journals KNOWLEDGE WASTE IN ORGANIZATIONS: A REVIEW OF PREVIOUS STUDIES

2015 ◽  
Vol 12 (1) ◽  
pp. 160 ◽  
Author(s):  
Helio Aisenberg Ferenhof ◽  
Susanne Durst ◽  
Paulo Mauricio Selig
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Knowledge Base ◽  
Systematic Literature Review ◽  
Business Environment ◽  
Future Research ◽  
Competitive Pressure ◽  
Knowledge Conversion ◽  
Intensive Research ◽  
Body Of Knowledge

In this paper, we are interested in the knowledge that is “wasted” in organizations, that is existing relevant knowledge that is overlooked in the process of knowledge conversion. Given the competitive pressure firms are facing in today´s business environment, a waste of knowledge is not only costly but also dangerous. This means that we consider knowledge from a knowledge at risk perspective. Having this in mind, the purpose of this paper is to review research on knowledge waste in organizations to establish our current body of knowledge regarding this topic. The study consists of a systematic review of 51 peer-reviewed articles addressing knowledge waste in organizations. To the best of the authors’ knowledge, no systematic literature review on this topic has previously been published or presented. The topic seems to be a promising field for intensive research and offers a variety of future research avenues. In view of practitioners, the study´s finding may enable an increased awareness towards the areas where existing knowledge is at the mercy of “waste”. This can assist practitioners to better cope with risks related to this waste and, therefore, better exploit the (limited) knowledge base available.

Sign in / Sign up

Export Citation Format

Share Document