Tourism information technology research trends: 1990-2016

2019 ◽  
Vol 74 (1) ◽  
pp. 5-19 ◽  
Author(s):  
Yulan Yuan ◽  
Yuen-Hsien Tseng ◽  
Chaang-Iuan Ho
Keyword(s):  
Information Technology ◽  
Academic Research ◽  
Research Trends ◽  
Research Trend ◽  
Computer Assisted ◽  
Technology Research ◽  
Content Type ◽  
Subject Areas ◽  
Tourism Information ◽  
Overview Analysis

Purpose The advancement of data analysis tools makes analyzing a huge amount of literature possible. This paper aims to identify tourism information technology research trends with the assistance of Toolkit for Academic Research (CATAR) to answer two research questions: the status of tourism information technology (IT) articles published in these selected journals from 1990 to 2016, and whether the number of Tourism IT articles is increasing or decreasing, and the main research topics studied in these articles from 1990 to 2016, and whether those have shifted over the 27 years. Design/methodology/approach Selected keywords identified by researchers that were used to extract Tourism IT articles published in Web of Science database. CATAR was used to carry out two analyses, namely, overview analysis and breakdown analysis. Overview analysis is performed to apply citation analysis to identify the general trend and the most cited reference of Tourism IT research represented by the selected articles. Breakdown analysis is based on bibliographic coupling (BC) analysis. Findings The number of Tourism IT publications grew rapidly in the second half of the 2000s, as mobile phones with touch screens became increasingly popular. It signals changes in the way of information searching behaviors. A total of 769 authors from 44 countries contributed to Tourism IT research. The USA, China, UK and Australia are the countries contributing the most. Six subject areas were revealed, namely, the interaction of people and organization; interaction of people and information; interaction of people and technology; technological implementation; the interaction of organization and information; and interaction of organization and technology. Research limitations/implications The major limitation of this study must be considered – the use of data merely derived from WoS database. The BC analysis makes a comparison between references of the given articles. This analysis requires the citation sources with better data quality, which is mainly based on the accuracy and standardization of databases. WoS is the database currently fit this requirement. The emergence of the new citation tools will enable scholars to pull data from new databases and to clean the data. Incorporating data from those new databases will reveal more accurate and comprehensive picture of Tourism IT research trend. Originality/value This paper revealed the research trend and major research subject areas of Tourism IT research for the past 16 years. The results can assist scholars to quickly grasp the Tourism IT research. This paper also provides an alternative approach to conduct literature review with computer-assisted analysis program.

Evolution of hospitality and tourism technology research from Journal of Hospitality and Tourism Technology: a computer-assisted qualitative data analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Minwoo Lee
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Tourism Industry ◽  
Research Trends ◽  
Computer Assisted ◽  
Research Approach ◽  
Technology Research ◽  
Qualitative Data Analysis ◽  
Content Type ◽  
Hospitality And Tourism

Purpose Information and communication technologies have been widely implemented and made radical changes for several decades in the hospitality and tourism industry. This rapid development also generates considerable data in social media. This trend opens the door to analyze unstructured data and gain increased attention of a qualitative research approach from hospitality and tourism researchers and industry professionals. Therefore, this paper aims to describe how a computer-assisted qualitative data analysis (CAQDA) approach can be used in the hospitality and tourism technology literature to uncover the trends and thematic concepts of hospitality and tourism technology research and their dynamics in Journal of Hospitality and Tourism Technology (JHTT) Design/methodology/approach To achieve the proposed research goals, the current study used CAQDA software, Leximancer, to analyze 218 articles published in JHTT between Volume 1(1) in 2010 and Volume 10(4) in 2019. Based on the rigorous CAQDA processes, the study performed the thematic analysis using all articles and subgroup analyses in the five-year periods. Findings Using CAQDA, the study reveals the critical research trends and insights on hospitality and tourism technology for 10 years in the JHTT. The findings of this study can provide strong evidence of what hospitality and tourism technology research topics have been examined and how these topics were connected and changed over time. More importantly, the current study illustrates how the CAQDA approach can be applied to uncover the hidden trends and thematic concepts from text data in the hospitality and tourism literature. Originality/value This study is the first attempt to apply CAQDA software to identify research trends and thematic concepts and gain insights from past JHTT’s articles. Moreover, this study applies this software to describe how hospitality and tourism researchers can use one of the modern computer-assisted qualitative techniques. Based on the findings of this study, theoretical and methodological implications for hospitality and tourism researchers are provided. More importantly, the current study presents the specific guidelines of how the CAQDA approach can be used for the literature review.

A Novel Sequence Graph-Based Approach to Find Academic Research Trends

2020 ◽  
Vol 12 (1) ◽  
pp. 45-56
Author(s):  
Soumya George ◽  
M. Sudheep Elayidom ◽  
T. Santhanakrishnan
Keyword(s):  
Computer Science ◽  
Efficient Method ◽  
Academic Research ◽  
Subject Area ◽  
Research Trends ◽  
Challenges And Opportunities ◽  
Sequence Graph ◽  
Academic Publications ◽  
Subject Areas

Research trends are dynamic, changing from time to time. It is an indicator of the latest innovations in each field of research, current areas of research, the latest technologies, and developments in each field of research. It also helps with future innovations and developments by providing current challenges and opportunities. This article proposes an efficient method to find research trends in each field of research of any subject area by using the graph-based subject classification of published papers. This methodology can be efficiently used to find research trends at any point of time, based on the published year of academic publications. A study of change in research trends in three subject areas - physics, mathematics, and computer science have been successfully conducted based on a total of 4500 publications since 2004.

scholarly journals Relevance of academic research in information technology and information management

2020 ◽  
Vol 33 (3) ◽  
pp. 273-295
Author(s):  
Merlin Stone ◽  
Emmanuel Kosack ◽  
Eleni Aravopoulou
Keyword(s):  
Information Technology ◽  
Academic Research ◽  
Interdisciplinary Approach ◽  
Leading Edge ◽  
Negative Contribution ◽  
Content Type ◽  
Study Approach ◽  
Amazon Web Services ◽  
Management Approaches

Purpose The purpose of this study is to examine the relevance of academic research, in terms of the topic match, to commercial practise in information technology, using the case study of a large and very rapidly growing supplier that uses leading-edge management approaches, Salesforce.com. Design/methodology/approach Academic literature review and review of commercial literature and information published by Salesforce.com. Findings Academics’ choice of topics matches the issues and topics present in the development of Salesforce.com, but suffers from the lack of interdisciplinary approach and particularly fails to integrate technical, marketing and financial approaches. Research limitations/implications The case study is of only one company, though an important one, although other large companies are involved e.g. Amazon Web services. However, the approach could easily be widened to several companies. Practical implications The case study approach will help academics focus on creating more applicable research and help students to learn about companies and may also eventually help practitioners to create thought leadership. Social implications If the financial and economic aspects of such case studies are integrated with other business aspects, these will provide a better view of the positive (or negative) contribution made by companies such as the one in the case study. Originality/value This is the first time that a case study has been examined in the context of the relevance/rigour debate.

scholarly journals Information technology competency and knowledge management in the hospitality industry service supply chain

2019 ◽  
Vol 74 (4) ◽  
pp. 872-884 ◽  
Author(s):  
Mohammad Reza Jalilvand ◽  
Javad Khazaei Pool ◽  
Masood Khodadadi ◽  
Mehdi Sharifi
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Academic Research ◽  
Equation Modeling ◽  
Content Type ◽  
Technology Competency ◽  
Service Supply Chain

Purpose This study aims to provide a better understanding of how information technology (IT) competency and knowledge management (KM) contribute to service supply chain (SSC) (coordination, collaboration and efficiency) practices in the hospitality industry. Design/methodology/approach Drawing on tourism businesses, this study tests the structural relationships of IT competency, KM and SSC. Structural equation modeling is performed to test the hypotheses. A survey of 494 hotels in Iran provided empirical evidence for the existence of interrelationships between multiple constructs. Findings The analysis demonstrated that IT competency is significantly associated with KM. Furthermore, SSC practices are found to be directly impacted by KM and IT competency. Originality/value This study unpacks the mechanism that operates between IT competency, KM and SSC and contributes to the academic research on SSC in the context of the hospitality industry.

Higher education for sustainable development: a systematic review

2016 ◽  
Vol 17 (5) ◽  
pp. 633-651 ◽  
Author(s):  
Yen-Chun Jim Wu ◽  
Ju-Peng Shen
Keyword(s):  
Higher Education ◽  
Systematic Review ◽  
Sustainable Development ◽  
Academic Research ◽  
Environmental Issues ◽  
Education For Sustainable Development ◽  
Research Trends ◽  
Complete Understanding ◽  
Content Type ◽  
Practical Implications

Purpose This study aims to provide a complete understanding of academic research into higher education for sustainable development (HESD). Design/methodology/approach This study utilizes a systematic review of four scientific literature databases to outline topics of research during the UN’s Decade of Education for Sustainable Development (DESD). Findings This study compares research trends and United Nations Educational, Scientific and Cultural Organization’s (UNESCO’s) strategic perspectives, worldwide topics and the number of studies. The results show that the research trends did not match UNESCO’s perspectives well and that researchers’ focus on popular events led to the variation between the numbers of articles each year. In summary, the findings indicate that most researchers base their topics on environmental issues, and research trends indicate the need for the integration of HESD. Practical implications This study provides a systematic review of higher education for academic research into sustainability, and it has implications for researchers and educators by identifying the gaps between the research conducted and the UN’s policies during the DESD. Originality/value This study attempts to offer an integrated view of HESD and to understand the bias of research trends during the DESD.

Where to direct research in lean six sigma?

2018 ◽  
Vol 9 (3) ◽  
pp. 324-350 ◽  
Author(s):  
Fabio Francisco da Silva ◽  
Lukas Daniel Filser ◽  
Fernando Juliani ◽  
Otávio José de Oliveira
Keyword(s):  
Six Sigma ◽  
State Of The Art ◽  
Lean Six Sigma ◽  
Research Trends ◽  
Content Type ◽  
Main Research ◽  
Efficiency And Effectiveness ◽  
Subject Areas ◽  
Number Of Citations ◽  
Practical Implications

Purpose Lean Six Sigma (LSS) is a continuous improvement methodology used to increase the efficiency and effectiveness of processes. Although there are several articles published, only two have analyzed the literature from a bibliometrics perspective. The purpose of this paper is to analyze the LSS literature by bibliometrics, identifying its state of the art, scientific gaps and research trends. Design/methodology/approach Articles published up to 2016 in the database Scopus were investigated to identify the most significant articles, authors, journals, institutions and countries based on citation counting as well as the most frequent keywords and subject areas on LSS. Articles published in 2014, 2015 and 2016 were analyzed to point out scientific gaps and to identify eight main research trends on LSS. Findings The research trends are: “LSS implementation”, “Healthcare”, “LSS tools”, “Human factors”, “Expansion of results”, “SME”, “LSS combined with other methodologies” and “Education”. The research outcomes also point out the most significant articles, authors, journals, institutions and countries in LSS literature. Practical implications This research contributes to develop the state of the art of LSS and helps professionals as well as researchers to identify which issues new studies should address. Originality/value The performance of the literature is measured based on the number of citations and not on the number of published papers, and the bibliometric analysis covers the highest number of articles so far (319 articles). Besides, the identification of the main research trends on LSS is exclusively based on the most recent studies.

scholarly journals School engagement as a mediator in students’ social relationships and academic performance: a survey based on CiteSpace

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yin Li ◽  
Leiju Qiu ◽  
Baowen Sun
Keyword(s):  
Information Technology ◽  
Academic Performance ◽  
Social Relationships ◽  
School Engagement ◽  
Self Determination Theory ◽  
Self Determination ◽  
Research Trend ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose In studies related to education, sociology and economics, the relationship between students’ social relationships and their academic performance is one of the most important research topics; a large number of research studies have focused on it. This study aims to analyze the previous studies about social interaction and academic performance and attempts to reveal the underlying mechanism. Design/methodology/approach This study uses CiteSpace to analyze 1,843 articles on social relationships and academic performance from 2001 to 2019. According to the co-cited literature network results in CiteSpace, this study proposes an adapted conceptual framework of the relationship between social relationships and academic performance. This paper further examines more studies about the two most-cited articles in the co-cited literature network for better understanding. Findings From the results of the co-cited literature network, this study determines that school engagement is an important mediator between social relationships and academic performance. This paper further examines studies on school engagement and determine that, along with the self-determination theory, school engagement is influenced by multiple components of self-determination theory: autonomy, competence and relatedness. Originality/value According to the visual result in CiteSpace, this study examines a research trend in which researchers scholars start to conduct micro and detailed empirical research on the impact of the specific social networks on academic performance because of the progress of information technology. Therefore, based on the previous literature that we have analyzed, this study predicts that the trend of using information technology, such as data mining or data analysis, in this academic field will become a mainstream practice in the future.

Research trend on higher education in China for the past ten years

2014 ◽  
Vol 28 (3) ◽  
pp. 319-339 ◽  
Author(s):  
Cuiping Kang ◽  
Gang Wang ◽  
Min Shi ◽  
Fei Sun
Keyword(s):  
Higher Education ◽  
Academic Research ◽  
Research Trend ◽  
Content Type ◽  
The Past ◽  
Education Theory ◽  
Higher Education In China ◽  
Issue Definition ◽  
Definition Of ◽  
Education In China

Purpose – This paper aims to explore the developing trend of higher pedagogy, to promote the research of higher pedagogy to be more canonical and scientific and to improve the higher education theory. Design/methodology/approach – The utility research uses a method of quantitative study, namely “content analysis”, to estimate and analyze the higher education theory literature on ten dimensionalities which include theme, author, abstract, keywords, subject, proposing of the issue, definition of key terms, research methods, conclusion, reference and annotations from 1996 to 2006 in China. Findings – The analysis of the selected 250 academic theses and reports in the field of higher education shows that academic research and theoretical standard have been improved, meanwhile academic criterion have been formed by degrees in higher pedagogy within ten years. At the same time, there are still some problems in the papers and reports the authors have selected such as title, key words, proposing of the issue, researching method and conclusion. Originality/value – This paper sums up the trend of research on higher education in China for the past ten years, and points out the problems in this trend and then proposes ways to improve the research of higher education in China.

Machine learning facilitated business intelligence (Part II)

2019 ◽  
Vol 120 (1) ◽  
pp. 128-163 ◽  
Author(s):  
Waqar Ahmed Khan ◽  
S.H. Chung ◽  
Muhammad Usman Awan ◽  
Xin Wen
Keyword(s):  
Neural Networks ◽  
Learning Algorithms ◽  
Optimization Algorithms ◽  
Research Trends ◽  
Optimization Techniques ◽  
Research Trend ◽  
Generalization Performance ◽  
Content Type ◽  
Minimization Algorithms ◽  
Gradient Learning

Purpose The purpose of this paper is three-fold: to review the categories explaining mainly optimization algorithms (techniques) in that needed to improve the generalization performance and learning speed of the Feedforward Neural Network (FNN); to discover the change in research trends by analyzing all six categories (i.e. gradient learning algorithms for network training, gradient free learning algorithms, optimization algorithms for learning rate, bias and variance (underfitting and overfitting) minimization algorithms, constructive topology neural networks, metaheuristic search algorithms) collectively; and recommend new research directions for researchers and facilitate users to understand algorithms real-world applications in solving complex management, engineering and health sciences problems. Design/methodology/approach The FNN has gained much attention from researchers to make a more informed decision in the last few decades. The literature survey is focused on the learning algorithms and the optimization techniques proposed in the last three decades. This paper (Part II) is an extension of Part I. For the sake of simplicity, the paper entitled “Machine learning facilitated business intelligence (Part I): Neural networks learning algorithms and applications” is referred to as Part I. To make the study consistent with Part I, the approach and survey methodology in this paper are kept similar to those in Part I. Findings Combining the work performed in Part I, the authors studied a total of 80 articles through popular keywords searching. The FNN learning algorithms and optimization techniques identified in the selected literature are classified into six categories based on their problem identification, mathematical model, technical reasoning and proposed solution. Previously, in Part I, the two categories focusing on the learning algorithms (i.e. gradient learning algorithms for network training, gradient free learning algorithms) are reviewed with their real-world applications in management, engineering, and health sciences. Therefore, in the current paper, Part II, the remaining four categories, exploring optimization techniques (i.e. optimization algorithms for learning rate, bias and variance (underfitting and overfitting) minimization algorithms, constructive topology neural networks, metaheuristic search algorithms) are studied in detail. The algorithm explanation is made enriched by discussing their technical merits, limitations, and applications in their respective categories. Finally, the authors recommend future new research directions which can contribute to strengthening the literature. Research limitations/implications The FNN contributions are rapidly increasing because of its ability to make reliably informed decisions. Like learning algorithms, reviewed in Part I, the focus is to enrich the comprehensive study by reviewing remaining categories focusing on the optimization techniques. However, future efforts may be needed to incorporate other algorithms into identified six categories or suggest new category to continuously monitor the shift in the research trends. Practical implications The authors studied the shift in research trend for three decades by collectively analyzing the learning algorithms and optimization techniques with their applications. This may help researchers to identify future research gaps to improve the generalization performance and learning speed, and user to understand the applications areas of the FNN. For instance, research contribution in FNN in the last three decades has changed from complex gradient-based algorithms to gradient free algorithms, trial and error hidden units fixed topology approach to cascade topology, hyperparameters initial guess to analytically calculation and converging algorithms at a global minimum rather than the local minimum. Originality/value The existing literature surveys include comparative study of the algorithms, identifying algorithms application areas and focusing on specific techniques in that it may not be able to identify algorithms categories, a shift in research trends over time, application area frequently analyzed, common research gaps and collective future directions. Part I and II attempts to overcome the existing literature surveys limitations by classifying articles into six categories covering a wide range of algorithm proposed to improve the FNN generalization performance and convergence rate. The classification of algorithms into six categories helps to analyze the shift in research trend which makes the classification scheme significant and innovative.

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