Addressing big data challenges in smart cities: a systematic literature review

Info ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 73-90 ◽  
Author(s):  
Sumedha Chauhan ◽  
Neetima Agarwal ◽  
Arpan Kumar Kar
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Academic Research ◽  
Effective Management ◽  
Research Papers ◽  
Holistic View ◽  
Content Type ◽  
Practical Implications

Purpose Big Data has become crucial for fulfilling the vision of smart cities; however, there are several challenges associated with its use. This study aims to provide a holistic view of challenges of using Big Data in smart cities and the solutions to deal with them by systematically selecting, reviewing and synthesizing the literature in this area. Design/methodology/approach A systematic literature review was conducted by following a rigorous search protocol that identified a total of 310 peer-reviewed academic research papers. These papers were subsequently filtered and finally 38 relevant papers were selected. Findings A number of major challenges (human dynamics, privacy, security, volume, velocity, variety, veracity and value) associated with Big Data in a smart city and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing Big Data in smart cities. Practical implications The study provides valuable information to the Big Data practitioners by illustrating the process of effective management of Big Data in smart cities. This study further provides the directions to the future researchers. Originality/value The study is original and is based on the existing literature and its interpretation.

scholarly journals Business intelligence and big data in hospitality and tourism: a systematic literature review

2018 ◽  
Vol 30 (12) ◽  
pp. 3514-3554 ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio ◽  
Matthias Fuchs ◽  
Wolfram Höepken
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Business Intelligence ◽  
Data Science ◽  
Academic Research ◽  
Research Field ◽  
Future Research ◽  
Content Type ◽  
Hospitality And Tourism

PurposeThis paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research.Design/methodology/approachThe study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.FindingsFindings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.Research limitations/implicationsThis work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.Originality/valueThis study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.

A systematic literature review of Lean Six Sigma in different industries

2016 ◽  
Vol 7 (4) ◽  
pp. 430-466 ◽  
Author(s):  
V. Raja Sreedharan ◽  
R. Raju
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Methodology ◽  
Six Sigma ◽  
Design Methodology ◽  
Lean Six Sigma ◽  
Research Papers ◽  
Content Type ◽  
Comprehensive List ◽  
Practical Implications

Purpose The purpose of this paper is to review Lean Six Sigma (LSS) literature and report different definitions, demographics, methodologies and industries. Design/methodology/approach This paper highlights various definitions by different researchers and practitioners. A total of 235 research papers has been reviewed for the LSS theme, research methodology adopted, type of industry, author profile, country of research and year of publication. Findings From the review, four significant LSS classifications were identified that deal with the spread of LSS in different industries followed by observation for classification. Practical implications LSS is a strategy for success, but it did not examine its presence in various Industries. From this paper, readers can understand the quantum of its spread before implementing LSS. For academicians, it will be a comprehensive list of papers for research. Originality/value This paper reviews 235 research papers for their year, author profile, research methodology and type of industry. Various characteristics of LSS definitions and their theme are also reviewed.

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.

Water resources in the hotel industry: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Natalia Antonova ◽  
Inés Ruiz-Rosa ◽  
Javier Mendoza-Jiménez
Keyword(s):  
Water Resources ◽  
Literature Review ◽  
Water Use ◽  
Systematic Literature Review ◽  
Water Consumption ◽  
Academic Research ◽  
Hotel Industry ◽  
Research Gaps ◽  
Systematic Analysis ◽  
Content Type

Purpose This study aims to structure research on water resources in the hotel industry, identifying the key areas and research gaps in this field. Design/methodology/approach A systematic literature review of water use in the hotel industry has been performed using the Scopus and Web of Science databases. From 515 articles selected between the years 2000 and 2019, a sample of 58 articles was used to structure existing research on this subject. Findings Research is classified into four groups: water consumption, water management, impacts of water use and good practices, with different research methods and topics within each one. Existing research gaps and their causes are also discussed. The results show how academic research can help strengthen international methodologies that measure sustainability. Research limitations/implications Because of the search process, some publications on water consumption in the hotel industry may have been missed; also book chapters and conference papers were excluded. Furthermore, the authors recognise some subjectivity in the classification of articles. Originality/value To the authors’ knowledge, this is the first systematic analysis focussed on water use in the hotel industry. The findings can be used to build a research framework for this area, establishing an approach to cover research gaps and to connect academic research with general methodologies and indicators of sustainability, as well as improving data collection techniques in this field.

scholarly journals Big data and dynamic capabilities: a bibliometric analysis and systematic literature review

2019 ◽  
Vol 57 (8) ◽  
pp. 2052-2068 ◽  
Author(s):  
Riccardo Rialti ◽  
Giacomo Marzi ◽  
Cristiano Ciappei ◽  
Donatella Busso
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Bibliometric Analysis ◽  
Systematic Literature Review ◽  
Dynamic Capabilities ◽  
Process Management ◽  
Big Data Analytics ◽  
Management Decision ◽  
Content Type ◽  
Management Decision Making

Purpose Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities. Design/methodology/approach A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review. Findings The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content. Originality/value To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.

Findings of quality management studies in primary and secondary education: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nancy Bouranta ◽  
Evangelos Psomas ◽  
Jiju Antony
Keyword(s):  
Secondary Education ◽  
Quality Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Management Practices ◽  
Content Type ◽  
Primary And Secondary Education ◽  
Review Study ◽  
Implementation Plans ◽  
Practical Implications

PurposeThe aim of this paper is to present the main findings of the studies in the field of quality management (QM) in primary and secondary education. Grouping these findings into themes and these themes, in turn, into broad categories as well as prioritizing the themes of findings are also aims of the present study.Design/methodology/approachA systematic literature review (SLR) of articles focusing on QM in primary and secondary education was carried out based on major publishers, namely Emerald Online, Taylor and Francis, Elsevier/Science Direct, Springer Link, Sage Publishing and Online. In total, 133 articles published in 62 journals during 1983–2019 were collected. The affinity diagram was applied in order to group the findings of the QM studies into logical themes and these themes into broad categories. Moreover, the Pareto diagram was applied to prioritize the themes revealed.FindingsA plethora of articles focusing on QM in primary and secondary education have been published in the last decades. The findings of the QM studies presented in the 133 reviewed articles are grouped into 43 themes and these themes, in turn, into 6 broad categories, namely management practices, school characteristics, teachers, stakeholders, government and pupils. The analysis also reveals themes that can be characterized as “vital” and “useful.”Practical implicationsResearchers and school managers can take into consideration the findings of the QM studies in primary and secondary education as well as the themes of high priority for the design of future studies and QM implementation plans, respectively.Originality/valueThis is the first literature review study which presents analytically the findings of the QM studies in primary and secondary education. This study also contributes to the literature by formulating meaningful themes of these findings and broad categories of these themes and by prioritizing the themes revealed.

Supply chain resilience: a systematic literature review and typological framework

2018 ◽  
Vol 48 (8) ◽  
pp. 842-865 ◽  
Author(s):  
Cigdem Gonul Kochan ◽  
David R. Nowicki
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Future Research ◽  
Exploratory Research ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Assessment Techniques ◽  
Practical Implications

PurposeThe study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.Design/methodology/approachThe paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.FindingsThe findings of this study outline the gaps in the SCRES literature and present an agenda for future research.Research limitations/implicationsThis paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.Practical implicationsThe typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.Originality/valueThe paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Roberto Salazar-Reyna ◽  
Fernando Gonzalez-Aleu ◽  
Edgar M.A. Granda-Gutierrez ◽  
Jenny Diaz-Ramirez ◽  
Jose Arturo Garza-Reyes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Research Area ◽  
Engineering Systems ◽  
Content Type ◽  
Healthcare Engineering

PurposeThe objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.Design/methodology/approachA systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.FindingsFrom the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.Research limitations/implicationsThe use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.Originality/valueTo the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

Cocreation of tourism experiences: are food-related activities being explored?

2020 ◽  
Vol 122 (3) ◽  
pp. 910-928 ◽  
Author(s):  
Susana Rachão ◽  
Zélia Breda ◽  
Carlos Fernandes ◽  
Veronique Joukes
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Web Of Science ◽  
Service Providers ◽  
Scientific Information ◽  
Professional Service ◽  
Content Type ◽  
Technological Advances ◽  
Food Tourism ◽  
Practical Implications

PurposeThis study analyses the dimensions of cocreation in on-site food-related activities.Design/methodology/approachA systematic literature review was conducted in two databases (Scopus and Institute for Scientific Information (ISI) Web of Science), and 67 peer-reviewed articles were identified on cocreation in tourism experiences.FindingsThe study reveals that food-related activities involving active participation are more likely to be successfully performed in more informal environments, in which culinary experiences cocreated by both tourists and hosts are favoured. Moreover, tourists who learn something new appreciate the value of cocreation within food tourism experiences better.Research limitations/implicationsAlthough the researchers used two renowned databases to conduct the systematic literature review, there is the risk that some manuscripts related to the topic were excluded.Practical implicationsThe transfer of new skills and knowledge through direct contact between tourists and hosts are prerequisites for the raise of the value of the cocreation process itself and of the final outcome of the cocreation experience. As a result, professional service providers should dedicate more attention to the inclusion of cocreative ‘learning’ elements in the food tourism experiences they create.Social implicationsDue to the changing structure of the tourism ecosystem (technological advances), the manner in which experiences are designed, distributed and consumed (cocreated) is being transformed. The present study highlights some aspects to be developed by tourism destination managers.Originality/valueThis study is the first to explore food-related tourism experiences through the lens of cocreation.

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