Bibliometric analysis and critical review of the research on big data in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusheng Lu ◽  
Jiantong Zhang
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Bibliometric Analysis ◽  
Critical Review ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
The Body ◽  
Future Research ◽  
Temporal And Spatial Distribution ◽  
Content Type

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.

A systematic review of research on innovation in hospitality and tourism

2016 ◽  
Vol 28 (3) ◽  
pp. 516-558 ◽  
Author(s):  
Doris Omerzel Gomezelj
Keyword(s):  
Systematic Review ◽  
Bibliometric Analysis ◽  
Quantitative Methods ◽  
Citation Index ◽  
The Body ◽  
Future Research ◽  
General Level ◽  
Content Type ◽  
Innovation Research ◽  
Hospitality And Tourism

Purpose The purpose of this paper is to identify the state of academic research on innovation in tourism. The authors present a systematic review of the literature, different research approaches and perspectives on tourism innovation; offer a synthesis of our findings and provide a discussion and proposals for future research. Design/methodology/approach Existing studies on innovation in hospitality and tourism (included in the Web of Knowledge database) were reviewed, and their limitations were identified. A procedure used in previous studies (Crossan and Apaydin, 2010; Tranfield et al., 2003; Becheikh et al., 2006) was applied. Moreover, aiming to reveal theoretical foundations of tourism innovation research and identify their structure, a bibliometric analysis was performed. Findings This paper identifies 152 published papers that represent the major efforts in expanding the body of research on innovation in hospitality and tourism. The importance of innovation for business and regional competitiveness and success has been recognised by both researchers and practitioners. In the papers included in the sample of this paper, the authors identified a general consensus that much remains to be done in the development of the theory of innovation in tourism. Through bibliometric analysis, nine co-citation networks, or clusters, were retrieved by applying co-citation relations among the most cited authors. The examination of these nine clusters revealed some dominant themes that characterise the field. Research limitations/implications The authors used three databases: Science Citation Index Expanded, Social Sciences Citation Index (SSCI) and Arts & Humanities Citation Index. While these databases may not include all relevant research, the authors, nonetheless, believe that by using a rigorous procedure in reviewing the literature systematically, they were able to reduce the probability of neglecting any information that would critically change the content of the present paper. Practical implications The aim of this paper was to bring together the prior research with presently existing models that may be used in further research. For the continuation of the research, the authors propose additional studies with the aim of theory development. By introducing new theoretical ideas and theoretical models, more qualitative and inductive research would help to stimulate further work. As stated above, researchers could go further by undertaking quantitative methods to empirically verify the theoretically proposed models. Originality/value Since the last review (Hjalager, 2010) of past studies in tourism innovation, mostly focusing on studies up to 2009, tourism innovation research has grown noticeably in terms of diverse topics. In this paper’s database, the year with the most publications was 2012 with 48 papers, followed by 2014 with 42 (by 19 September), 2010 and 2011 with 41 and 2009 with 29. To the authors’ knowledge, no updated reviews focusing on innovation in tourism have been published recently. This study, consisting of a systematic review of academic literature, includes analyses of the international context, the methodology used, the points of view, the level of analysis (micro-level, macro-level and general level) and the type of innovation discussed in the paper. Moreover, the authors did not find any studies that used bibliometric analysis to identify the structure of the theoretical foundation of research in the area of innovation in tourism.

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.

Orchestration capability: a bibliometric analysis

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qingyue Shi ◽  
Lei Shen
Keyword(s):  
Bibliometric Analysis ◽  
Core Collection ◽  
Rapid Development ◽  
Bibliographic Coupling ◽  
Future Research ◽  
Content Type ◽  
Resource Orchestration ◽  
Collection Data ◽  
The Usa ◽  
Network Orchestration

PurposeAs inter-company cooperation and competition grow, orchestration capability plays an increasingly important role. This paper aims to present an overview of orchestration capability in the business and management field, identify the current state and explore future research trends.Design/methodology/approachThis literature review is based on 132 papers collected from the Web of Science (WoS) Core Collection data (1997–March 2021). HistCite was used to analyze the year of publication, leading scholars, influential articles, key journals, top countries and institutions. Research streams were identified from analysis of co-citation, bibliographic coupling and keyword co-occurrence by HistCite and VOSviewer.FindingsThis paper finds that Hitt MA is the most prolific scholar, and the Strategic Management Journal is the most dominating publication among the orchestration capability publications. The USA and Texas A&M University are the most influential countries and institutions, respectively. Three major clusters are identified based on citation mapping, bibliographic coupling analysis of documents and keywords co-occurrence analysis: dynamic capability and resource-based view, resource orchestration and network orchestration. Based on the three clusters, the authors analyze how resource orchestration and network orchestration research develops over time and summarize the evolutionary path of orchestration capability literature.Research limitations/implicationsThis article builds on data from WoS Core Collection, and some new but important articles may not be analyzed, since bibliometrics consider high citation as an indicator to select influential articles.Practical implicationsWith the rapid development of the digital economy, the frequent interactions between companies pose many challenges for businesses. Enterprises can take orchestration actions effectively and efficiently from various perspectives and continuously improve their orchestration capabilities in collaboration with partners to achieve and sustain competitive advantages.Originality/valueThis paper provides a systematic review of orchestration capability using bibliometric analysis, which has not been employed in previous studies. Besides, this article presents a broad understanding of how scholars have researched the subject over the years.

Event innovation induced corporate branding

2017 ◽  
Vol 29 (3) ◽  
pp. 862-882 ◽  
Author(s):  
Fiona X. Yang ◽  
Sherry Xiuchang Tan
Keyword(s):  
Corporate Branding ◽  
Structural Equation ◽  
Corporate Image ◽  
The Body ◽  
Equation Modeling ◽  
Future Research ◽  
Event Management ◽  
Content Type ◽  
Body Of Knowledge ◽  
Corporate Loyalty

Purpose This paper aims to empirically investigate how event innovation may induce desirable corporate branding. Design/methodology/approach A survey yielded 280 complete responses from tourists who had attended an event in Macau. Structural equation modeling was used to test the innovation-corporate loyalty framework through perceived event value and corporate image, with a multi-group comparison to examine differences between first-time and repeat customers. Findings The results indicate that innovation is not only the key to value enhancement of the event but also an efficacious instrument of branding the parent company and building corporate loyalty; only product-related innovation has a significant impact on event value; both functional and emotional values induce a more favorable corporate image; and event-induced corporate branding is more effective in securing repeat business than attracting new clientele. Practical implications The findings help hospitality operators and event planners to leverage innovative events for corporate branding and cater to different customer segments by providing distinct marketing strategies. Originality/value The study contributes to the body of knowledge regarding event management and corporate branding and sheds light on future research to explore the initiative and benefit of pushing forward event innovation.

Unveiling contemporary dimensions in the internationalisation of family firms through bibliometric analysis and thematic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Thukral ◽  
Apoorva Jain
Keyword(s):  
Bibliometric Analysis ◽  
Thematic Analysis ◽  
Family Firms ◽  
Research Area ◽  
Research Articles ◽  
Future Research ◽  
Content Type ◽  
Holistic Understanding ◽  
The Family ◽  
Research Stream

Purpose For sustaining a competitive advantage in the integrated world economy, it has become imperative for family firms to internationalise their operations in overseas markets. However, despite the growing set of literature, results are still inconclusive with respect to family firms’ internationalisation. Thus, this study aims to address this gap by systematically reviewing 142 articles (1991–2019) to help researchers in identifying and unfolding the unexplored themes in the underlying area. Design/methodology/approach For systematically reviewing articles, the study uses a three-step methodology following PRISMA guidelines, bibliometric analysis and thematic analysis. Descriptive statistics of 142 research articles are obtained through bibliometric analysis while thematic analysis is carried out to create themes or clusters of various factors relating to family firms’ internationalisation. Findings The current review uncovers the evolving trends in the research streams, most productive authors, top journals and articles, co-citation analysis, as well as the major themes surrounding the family firms’ internationalisation literature. Results from bibliometric analysis indicate that family firms’ internationalisation is an upcoming research area. Also, the review indicates an opportunity for scholars from developing nations to make significant contributions in the underlying research stream. Research limitations/implications Results from bibliometric and thematic analysis will help academicians and researchers in accumulating a holistic understanding relating to family firms’ internationalisation and understanding the upcoming trends in family firms’ research, thereby guiding the future research scope. Also, it will assist the family firms’ leaders and managers in understanding the important dynamics in overseas markets and various factors to be considered while planning their internationalisation. Originality/value Undertaking a systematic literature review presents readers with a state-of-the-art understanding of the underlying research topic. To the best of the knowledge, to date, the study is the first to conduct the review of literature through bibliometric analysis with the help of R Studio software in the field of family firms’ internationalisation. Also, the study is the first to review more than 100 research articles in the underlying area. Finally, the study proposes a comprehensive framework integrating the major themes and facets relating to family firms’ internationalisation.

Opportunities for academic smart libraries in the Caribbean

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adrian St. Patrick Duncan
Keyword(s):  
Information And Communication Technologies ◽  
Academic Libraries ◽  
Information Access ◽  
The Body ◽  
Caribbean Region ◽  
Future Research ◽  
Technological Advancement ◽  
Content Type ◽  
Services Delivery ◽  
The Caribbean

Purpose The purpose of this paper hinged on the concept of smart libraries and their development for the furtherance of information access, dissemination and information resources and services delivery in Caribbean libraries. Design/methodology/approach To conduct this research, the literature of smart libraries and technologically driven and their application in libraries were reviewed by examining existing literature on information and communication technologies and technology in libraries. Findings The literature highlighted that this technological advancement is not yet fully on stream in academic libraries of the Caribbean owing to the lack of financial, technological and organizational resources. It further outlined that certain aspects of library automation are fostered through the inclusion of technology. Research limitations/implications The limitation of this study is that only academic libraries of the Caribbean region were assessed. Other regions should be explored in future research. Originality/value The concept of smart libraries is an emerging issue with limited scope for scrutiny; a systematic and extensive review of recent research on smart in libraries is unavailable. This paper presents an overview of smart libraries or technologically driven libraries, its findings for potential research opportunities and development for academic libraries. In addition, it will build on the body of knowledge that is presently non-existent on smart libraries in the Caribbean.

Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanghee Kim ◽  
Hongjoo Woo
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Semantic Network ◽  
Distribution Channels ◽  
Subject Area ◽  
Future Research ◽  
Semantic Network Analysis ◽  
Content Type ◽  
The Past ◽  
Network Patterns

Purpose According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years. Design/methodology/approach This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis. Findings The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels. Originality/value This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

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.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

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