scholarly journals Mapping of Journal of Service Research Themes: A 22-Year Review

2020 ◽  
pp. 109467052097767
Author(s):  
Naveen Donthu ◽  
Dwayne D. Gremler ◽  
Satish Kumar ◽  
Debidutta Pattnaik
Keyword(s):  
Big Data ◽  
Service Recovery ◽  
Customer Participation ◽  
Service Research ◽  
Future Research ◽  
Research Topics ◽  
Data Value ◽  
Research Themes ◽  
Value Cocreation ◽  
Integration Service

The Journal of Service Research ( JSR) is one of the leading outlets in service research. It is international in scope and widely recognized among scholars, academicians, and practitioners for its original and well-executed research. In its 22 years of publishing, the journal has produced literary content considered classics in the service domain. With the application of bibliometric techniques, we examine articles published in JSR between 1998 and 2019. Our study explicates JSR’s prominent topics and tracks the evolution of research themes in the journal. “Customer satisfaction,” “service recovery,” and “service quality” are some of the prolific themes trending in JSR, while “big data,” “value cocreation,” “customer resource integration,” “service design,” and “customer participation” are its hottest topics. This study contributes primarily by providing a rich retrospective of JSR’s 22 years of publishing and proposes future research topics for the journal.

A scientometric review of construction progress monitoring studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tirth Patel ◽  
Brian H.W. Guo ◽  
Yang Zou
Keyword(s):  
Progress Monitoring ◽  
Current Knowledge ◽  
Future Research ◽  
Research Topics ◽  
Knowledge Domain ◽  
Content Type ◽  
Main Research ◽  
Research Themes ◽  
Construction Progress Monitoring ◽  
Research Domain

PurposeThis article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.Design/methodology/approachThe science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.FindingsThis study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).Practical implicationsThis study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.Originality/valueThis paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

scholarly journals Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

2017 ◽  
Vol 13 (4) ◽  
pp. 1891-1899 ◽  
Author(s):  
Zhihan Lv ◽  
Houbing Song ◽  
Pablo Basanta-Val ◽  
Anthony Steed ◽  
Minho Jo
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
State Of The Art ◽  
Big Data Analytics ◽  
Future Research ◽  
Next Generation ◽  
Research Topics

scholarly journals Big data in education: a state of the art, limitations, and future research directions

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Maria Ijaz Baig ◽  
Liyana Shuib ◽  
Elaheh Yadegaridehkordi
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Future Research ◽  
Performance Modelling ◽  
Future Directions ◽  
Main Research ◽  
Related Information ◽  
Research Themes ◽  
Major Attention ◽  
And Performance

Abstract Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data in different fields for various purposes. However, a comprehensive review is still lacking in big data in education. Thus, this study aims to conduct a systematic review on big data in education in order to explore the trends, classify the research themes, and highlight the limitations and provide possible future directions in the domain. Following a systematic review procedure, 40 primary studies published from 2014 to 2019 were utilized and related information extracted. The findings showed that there is an increase in the number of studies that address big data in education during the last 2 years. It has been found that the current studies covered four main research themes under big data in education, mainly, learner’s behavior and performance, modelling and educational data warehouse, improvement in the educational system, and integration of big data into the curriculum. Most of the big data educational researches have focused on learner’s behavior and performances. Moreover, this study highlights research limitations and portrays the future directions. This study provides a guideline for future studies and highlights new insights and directions for the successful utilization of big data in education.

Determinants of Co-creative Behaviour of Patients: A Case Study in Jammu

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Jyoti Sharma ◽  
Lata Raj ◽  
Anil Gupta
Keyword(s):  
Customer Value ◽  
Research Area ◽  
Point Of View ◽  
Customer Participation ◽  
Citizenship Behavior ◽  
Future Research ◽  
Creative Behavior ◽  
Customer Profiling ◽  
Customer Citizenship Behavior ◽  
Lifestyle Diseases

The purpose of this study is to measure the existence of co-creation behavior between doctors and patients. The research also studies customer participation and customer citizenship behavior as the dimensions of co-creative behavior and tries to establish the relationship between co-creative behavior and satisfaction. This study uses Yi and Gong (2013) scale for collecting data regarding co-creation behavior and its dimensions which are customer participation (CP) and customer citizenship behavior (CCB). The data was collected from 204 patients who were suffering from various chronic/lifestyle diseases and getting their treatment from private clinics in Jammu city. The study uses 7-point Likert scale in the questionnaire ranging from 1 completely disagree through 7 completely agree, with a midpoint labeled 4 neither agree nor disagree. The analysis of paper reflects that co-creation behavior is prevalent among the patients and not only participation but the citizenship behavior also affects the co-creation behavior of patients. The study is conducted from patients point of view whereas doctors perspective should also be used in future research. The research area is restricted to Jammu city only. The research provides several implications-doctors can also use this scale for market segmentation and customer profiling for maximizing customer value co-creation behavior by gaining the useful information.

Value cocreation behavior of customers and companies on the Weibo social media platform

2020 ◽  
Vol 48 (3) ◽  
pp. 1-11
Author(s):  
Huiqin Zhang ◽  
Hai Lan ◽  
Xudong Chen
Keyword(s):  
Social Media ◽  
Service Quality ◽  
Customer Value ◽  
Two Dimensions ◽  
Customer Participation ◽  
Citizenship Behavior ◽  
Generation Process ◽  
Social Media Platform ◽  
Value Cocreation ◽  
Media Platform

The Weibo social media platform in China has an important role in the value-generation process between a company and a customer. We investigated the relationship between the service quality provided on a company's Weibo page and the two dimensions of customer value cocreation behavior, namely, participation and citizenship, as well as the moderating effect of collectivism on this relationship. Participants were 354 active users of Weibo. Our findings confirmed that the service quality provided on a company's Weibo page was critical to the generation of customer value cocreation behavior. Further, collectivism moderated this relationship, with higher levels of collectivism strengthening the Weibo page service quality and customer value cocreation behavior relationship. In addition, customer citizenship behavior was positively related to customer perceptions of brand image, whereas customer participation was not. Implications for companies in the Chinese context are discussed.

Conclusions and Future Directions for the Study of Accurate Personality Judgment

2020 ◽  
Author(s):  
Tera D. Letzring
Keyword(s):  
Standardized Tests ◽  
Personality Trait ◽  
Training Programs ◽  
Future Research ◽  
Research Topics ◽  
Theoretical Frameworks ◽  
Future Directions ◽  
Personality Judgment ◽  
Exciting Time ◽  
And Training

This chapter identifies several well-established findings and overarching themes within personality trait accuracy research, and highlights especially promising directions for future research. Topics include (1) theoretical frameworks for accuracy, (2) moderators of accuracy and the context or situation in which judgments are made, (3) the important consequences of accuracy, (4) interventions and training programs to increase judgmental ability and judgability, (5) the generalizability of previous findings, and (6) standardized tests of the accuracy of judging personality traits. The chapter ends by stating that it is an exciting time to be a researcher studying the accuracy of personality trait judgments.

Accounting for natural disasters from a historical perspective: A literature review and research agenda

2021 ◽  
Vol 26 (2) ◽  
pp. 179-204
Author(s):  
Massimo Sargiacomo ◽  
Stefania Servalli ◽  
Serena Potito ◽  
Antonio D’Andreamatteo ◽  
Antonio Gitto
Keyword(s):  
Natural Disasters ◽  
Economic History ◽  
Research Agenda ◽  
Historical Research ◽  
Future Research ◽  
Research Topics ◽  
Open Research ◽  
Emerging Themes ◽  
Published Research ◽  
Selection Of

This study offers an analysis of published historical research on accounting for natural disasters. Drawing on the insights provided by an examination of 35 accounting/business/economic history and generalist journals, 11 articles have been selected and analysed. The analysis conducted on the scattered literature identified the emerging themes, disasters investigated, periods of time explored and main contributions of published research. The analysis is extended by the examination of some key conferences of interdisciplinary history associations, and of the eventual journals/issues where the papers presented were published. The investigation has also been complemented by a brief selection of books showing historical analyses of diverse disasters, typologies and periods of investigation. The stimuli provided by the study have helped to portray the main features of an open research agenda, highlighting possible future research topics and suggesting ancient and recent disasters’ loci to be investigated worldwide.

scholarly journals Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review

2020 ◽  
Vol 13 (1) ◽  
pp. 285
Author(s):  
Huanhuan Hua ◽  
Amare Wondirad
Keyword(s):  
Sustainable Development ◽  
Urban Tourism ◽  
Urban Agglomeration ◽  
Future Research ◽  
Tourism Destination ◽  
Research Fields ◽  
Research Themes ◽  
Research Architecture ◽  
Critical Literature

This study analyzes tourism network in urban agglomerated destinations and puts forth implications for future sustainable development through a critical and extensive review of related literature. First of all, with a bibliometric analysis of 2670 selected articles from three research fields of urban tourism, urban agglomeration tourism and tourism destination network, we analyzed their respective research themes and classified them accordingly. Then, the study further investigates the role of tourism network in urban agglomerated destinations by identifying the differences and connections between urban agglomeration tourism and urban tourism. Finally, a basic architecture is established for the study of tourism networks in urban agglomerated destinations context. Study findings highlight that urban agglomeration tourism emphasizes the interconnectivity and social network relationships. However, research on the destination network of urban agglomerations is limited, especially from the tourism development perspectives. Therefore, the evolution process, structural effects, determinants and dynamic mechanisms of the tourism network in urban agglomerated destination are among the opportunities for future research. Moreover, the research architecture shows that the network relationship emerges as a new direction for the study of urban agglomeration system to better integrate and harness destinations’ resources and thereby promote sustainable development in urban agglomerated areas.

scholarly journals Social Media Use Among Young People in China: A Systematic Literature Review

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110164
Author(s):  
Lian Tang ◽  
Siti Zobidah Omar ◽  
Jusang Bolong ◽  
Julia Wirza Mohd Zawawi
Keyword(s):  
Social Media ◽  
Young People ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Media Use ◽  
Academic Research ◽  
Future Research ◽  
Research Topics ◽  
Social Media Use ◽  
Systematic Analysis

The widespread use of social media has promoted extensive academic research on this channel. The present study conducts a systematic analysis of extant research on social media use among young people in China. This systematic literature review aims to identify and bridge gaps in topics, theories, variables, and conceptual frameworks in studies of social media usage among young people in China. The study aims to develop a cause–effect framework that shows the causal relationships among research structures. The PRISMA method is used to review 20 articles drawn from the Scopus and Google Scholar databases. From the analysis, 10 major research topics, eight theories or models, and a complete framework of causal relations emerge. It is recommended that future research on social media should include a greater diversity of types of social media, investigate a wider range of research topics, and adopt different theories or models. Researchers should also implement a more complete and detailed systematic method for reviewing literature on social media research in China.

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