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

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.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arun Thirumalesh Madanaguli ◽  
Puneet Kaur ◽  
Stefano Bresciani ◽  
Amandeep Dhir

Purpose Entrepreneurship in the rural hospitality and tourism sector (RHT) has received wide attention in the past decade. However, a systematic review on this topic is currently lacking. This study aims to track the progress of the RHT and entrepreneurship literature by examining the various thematic research areas, identifying the research gaps and forecasting avenues of future research on the topic. Design/methodology/approach This paper catalogs and synthesizes the body of literature from the year 2000–2020 using a systematic literature review methodology. After discussing a brief history of RHT and entrepreneurship, the current study presents a review of 101 research articles. Findings The review highlights that RHT and entrepreneurship have received relatively limited attention from entrepreneurship journals. The content analysis revealed different gaps and limitations in the understanding of entrepreneurship in RHT, including a predominance of qualitative studies with limited theoretically-grounded and generalizable empirical studies. Furthermore, a high concentration of studies is from European countries. Six main thematic research areas were identified, namely, barriers and enablers, the roles of an entrepreneur, women in RHT, influencers of firm performance, innovation and value creation and methodological commonalities. The review also advances an RHT entrepreneurship ecosystem framework to summarize the findings. Originality/value Six promising research avenues are outlined based on the six themes identified. The suggested research questions draw from allied literature on small and medium businesses, innovation, women entrepreneurship and institutions to encourage the interdisciplinary cross-pollination of ideas. The findings are summarized in a novel research framework.


2019 ◽  
Vol 42 (8) ◽  
pp. 902-925 ◽  
Author(s):  
Corrado Cerruti ◽  
Ernesto Tavoletti ◽  
Cecilia Grieco

Purpose Academic research on management consulting or having management consultancy as the main research field is huge as the sector is a strategic one for management innovation, but a systematic and updated literature review is missing. This paper aims to fill this gap by providing a comprehensive systematic review of scholarly peer reviewed journals looking at the ambivalent roles of consultants in driving management innovation as well as management fashions. Design/methodology/approach A systematic literature review has been performed. Findings This paper provides a systematization of existing literature, where the state of the art is assessed and future research paths are highlighted. Originality/value The proposed research fills the gap concerning a review of literature on this topic and provides an analysis of 50 years of scholarly research, highlighting both the bright and dark sides of management consulting.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Nuseir ◽  
Amer Qasim

Purpose This paper aims to systematically review how corporations are increasingly using social media to strategically disseminate information to investors, including different research tracks, then identify the gaps to propose future research opportunities. Design/methodology/approach The authors searched for relevant scholarly work on Scopus and Google Scholar databases published during the period 2000–2020 in English. Both quantitative and qualitative papers were reviewed. Articles were filtered based on their relevance to the study's goal, resulting in the selection of 84 articles. A total of 16 articles were selected for inclusion in the systematic review. Findings In light of the existing studies’ limitations, this paper derives and summarizes 16 leading future research tracks. Results indicated that corporations could use social media to reduce information asymmetry between managers and investors. Nevertheless, social media for information disclosure purposes is used in a strategic way, whereby only positive news and voluntary information are disseminated. Research limitations/implications The implications for investors are that they can make better decisions by engaging in the process of “the wisdom of crowd,” which is facilitated by reciprocal communication. The implications for corporations are that sharing earning information through social networking platforms presents them with an opportunity to effectively manage their investors by reducing negative perceptions and increasing market response. Originality/value As far as we know, this is the first paper that uses a systematic literature review over the social media research field.


2018 ◽  
Vol 10 (6) ◽  
pp. 717-725
Author(s):  
Paulo Rita ◽  
Nicole Rita ◽  
Cristina Oliveira

Purpose This paper aims to embrace the challenge of performing a state-of-the-art scientific literature analysis in data science for hospitality and tourism. This is important because relatively little contemporary analysis has been published. Design/methodology/approach Data on over 800 publications were collected from the Scopus database and analyzed by the differing types of publications, evolution of publications across time, top publishers and outlets, publications per area and per topic, top keywords used, most cited papers and most productive authors. Findings Conclusions are drawn and some suggestions are offered regarding topics that are likely to provide opportunities for future research. Originality/value This paper identifies the need for analysis on state-of-the-art academic research published to-date on the application of methods and techniques relating to data science in hospitality and tourism.


Info ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 73-90 ◽  
Author(s):  
Sumedha Chauhan ◽  
Neetima Agarwal ◽  
Arpan Kumar Kar

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.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarika Sharma ◽  
D.P. Goyal ◽  
Archana Singh

PurposeSustainable entrepreneurship education (SEE) is a field, which mingles two imperative fields of research, sustainable entrepreneurship and entrepreneurship education. This emerging area has gained momentum in recent years, and various quantitative and qualitative studies are carried upon to explore its diverse dimensions, literature remains scattered. This paper aims to explore the holistic picture of SEE by compiling the research articles, through a systematic literature review of prior research studies.Design/methodology/approachTwo prominent databases are considered, and these databases then are searched with appropriately designed search strings. Based on an exclusion and inclusion criteria developed by the authors, 59 research papers are selected for further investigation. These research papers are then studied rigorously for review and qualitative content analysis.FindingsA conceptual framework comprising of the areas of these research contributions is proposed as an outcome. This framework provides insights about the existing state and areas of SEE research namely: (1) Institutional framework, (2) Teaching/learning approaches and (3) External interactions and provides further direction for research.Research limitations/implicationsThe present study makes a significant contribution both in theoretical and in practical sense. (1) Compiled the extant literature on sustainable entrepreneurship education; (2) Developed a protocol to conduct the systematic review of literature on sustainable entrepreneurship education; (3) Reported the status of research on sustainable entrepreneurship education, and proposed a framework on existing work; (4) Presented the emerging topics, issues and challenges that need to be addressed in future research.Originality/valueThis article seeks to present a systematic literature review of the research field on sustainable entrepreneurship education. A review of existing literature in this field would certainly help to advance future research efforts as it presents a comprehensive picture of the status quo of this research field.


2019 ◽  
Vol 53 (3) ◽  
pp. 250-268 ◽  
Author(s):  
Marçal Mora-Cantallops ◽  
Salvador Sánchez-Alonso ◽  
Elena García-Barriocanal

Purpose The purpose of this paper is to review the current status of research on Wikidata and, in particular, of articles that either describe applications of Wikidata or provide empirical evidence, in order to uncover the topics of interest, the fields that are benefiting from its applications and which researchers and institutions are leading the work. Design/methodology/approach A systematic literature review is conducted to identify and review how Wikidata is being dealt with in academic research articles and the applications that are proposed. A rigorous and systematic process is implemented, aiming not only to summarize existing studies and research on the topic, but also to include an element of analytical criticism and a perspective on gaps and future research. Findings Despite Wikidata’s potential and the notable rise in research activity, the field is still in the early stages of study. Most research is published in conferences, highlighting such immaturity, and provides little empirical evidence of real use cases. Only a few disciplines currently benefit from Wikidata’s applications and do so with a significant gap between research and practice. Studies are dominated by European researchers, mirroring Wikidata’s content distribution and limiting its Worldwide applications. Originality/value The results collect and summarize existing Wikidata research articles published in the major international journals and conferences, delivering a meticulous summary of all the available empirical research on the topic which is representative of the state of the art at this time, complemented by a discussion of identified gaps and future work.


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