scholarly journals Towards Complexity and Dynamics: A Bibliometric-Qualitative Review of Network Research in Construction

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Dongping Cao ◽  
Shiting Shao

Social network analysis (SNA) has gained increasing academic attention in the construction domain over the past two decades due to its capability to characterize the complexity and dynamics of interindividual and interorganizational interactions. To date, however, scant attempt has been made to develop an integrated framework to systematically review the diversified network research at different levels in this domain and to quantitatively characterize the evolution of related research interests and research instruments. This study aims to fill this gap by conducting a bibliometric-qualitative review based on 106 papers published from 1997 to 2020. Keyword cooccurrence analysis is employed to reveal the research foci, identify the research trends, and develop a comprehensive categorization framework, which classifies related research based on two interrelated dimensions: the type of network node (individual and organization) and the levelof network analysis (project level, corporate level, and industry level). The framework then facilitates further content analysis in terms of research topics, research designs, and research instruments. The results provide evidence that the research foci in this domain are generally moving towards addressing the complexity and dynamics of project-related relations at more diversified levels, in terms of not only research topics but also research instruments. Future research can be enriched by investigating the multiple types of dynamic interproject relationships, adopting state-of-the-art methodologies for network data collection and triangulation, and employing multiple SNA constructs and inferential statistical methods to reveal how complex networks coevolve and interact with actors’ behaviors as well as project and organizational outcomes.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Asif Raza ◽  
Srikrishna Madhumohan Govindaluri

PurposeThe purpose of this paper is to conduct a structured literature review using advanced bibliometric tools to understand the existing knowledge base, understand the trends in omni-channel (OC) research and identify emerging research topics.Design/methodology/approachMore than 500 articles selected through a keyword combination search from reputed databases of peer-reviewed academic sources from period 2009–19 are analyzed for the purposes of this study. The study first presents an exploratory analysis to determine influential authors, sources and regions, among other key aspects. Second, several network analyses including co-citation and dynamic co-citation network analyses are conducted to identify themes. These allow identifying research clusters and emerging research topics algorithmically. Both centrality and modularity-based clustering are employed. A content analysis of the most influential groups within OC literature for each cluster is included.FindingsThe findings of this paper make unique contributions by using advanced tools from network analysis along with the standard bibliometric analysis tools to explore the current status of OC research, identify existing themes and the guidance for potential areas of future research interest in OC.Practical implicationsThis research provides a comprehensive view of the range of topics of importance that have been discussed in the literature of OC management. These research trends can serve as a quick guide to researchers and practitioners to improve decision making and also develop strategies.Originality/valueThe paper employs advanced tools for the first time to review the literature of OC retailing. The sophisticated tools include co-citation and dynamic co-citation network analysis.


2018 ◽  
Vol 38 (2) ◽  
pp. 350-371 ◽  
Author(s):  
Rodrigo Rabetino ◽  
Willem Harmsen ◽  
Marko Kohtamäki ◽  
Jukka Sihvonen

Purpose The purpose of this paper is to organize and connect past research from different servitization-related scholarly communities. Design/methodology/approach This study reviews more than 1,000 articles by combining author co-citation and qualitative content analyses. Findings The structure and boundaries of the field are mapped, and the characteristics of the three identified servitization-related communities are assessed qualitatively. These three communities are product-service systems, solution business, and service science. The findings demonstrate that a narrow range of theories and qualitative methods dominate in existing research. Originality/value Through the lens of the sociology of science, this review critically evaluates servitization-related research and offers a list of themes that are considered important to the future development of the field. Regarding future research, the main recommendations are as follows: increasing the use of well-established theories from adjacent mature fields, borrowing ideas from different research communities to stimulate knowledge accumulation within and across communities, and reducing the level of description while increasing the number of confirmatory, quantitative, and longitudinal research designs. Finally, the development of formal structures for socialization (e.g. conferences and special issues) could allow the field to achieve a greater degree of scientific maturity and would influence the direction and pace of the development of servitization-related research.


2018 ◽  
Author(s):  
Quinn M.R. Webber ◽  
Eric Vander Wal

AbstractThe increased popularity and improved accessibility of social network analysis has improved our ability to test hypotheses about the complexity of animal social structure. To gain a deeper understanding of the use and application of social network analysis, we systematically surveyed the literature and extracted information on publication trends from articles using social network analysis. We synthesize trends in social network research over time and highlight variation in the use of different aspects of social network analysis. Our primary finding highlights the increase in use of social network analysis over time and from this finding, we observed an increase in the number of review and methods of social network analysis. We also found that most studies included a relatively small number (median = 15, range = 4–1406) of individuals to generate social networks, while the number and type of social network metrics calculated in a given study varied zero to nine (median = 2, range 0–9). The type of data collection or the software programs used to analyze social network data have changed; SOCPROG and UCINET have been replaced by various R packages over time. Finally, we found strong taxonomic and conservation bias in the species studied using social network analysis. Most species studied using social networks are mammals (111/201, 55%) or birds (47/201, 23%) and the majority tend to be species of least concern (119/201, 59%). We highlight emerging trends in social network research that may be valuable for distinct groups of social network researchers: students new to social network analysis, experienced behavioural ecologists interested in using social network analysis, and advanced social network users interested in trends of social network research. In summary we address the temporal trends in social network publication practices, highlight potential bias in some of the ways we employ social network analysis, and provide recommendations for future research based on our findings.


2007 ◽  
Vol 13 (4) ◽  
pp. 312-330 ◽  
Author(s):  
Belinda Luke ◽  
Martie-Louise Verreynne ◽  
Kate Kearins

AbstractThis paper presents a suggested framework for future research designs to examine the benefits of entrepreneurship, both non-financial and financial. Based on a review of the literature and using contextual exemplars throughout the paper with an Australia and New Zealand focus, we identify a range of benefits from entrepreneurship at the various levels of analysis (e.g. individual, organizational, national). From a non-financial perspective such benefits include independence, autonomy, competitive advantage, increased market share, employment and increased standards of living. From a financial perspective, entrepreneurships benefits include enhanced remuneration or rent from revenue, profits, cash flow, return on investment and increases in GDP – specific financial measures to be expressed in clear financial terms. The suggested framework represents both an initial step towards the measurement of entrepreneurships financial benefits and a valuable starting point for the development of a theory of the non-financial and financial benefits of entrepreneurship.


2020 ◽  
Vol 9 (3) ◽  
pp. 146
Author(s):  
Margarita Kokla ◽  
Eric Guilbert

The present paper provides a review of two research topics that are central to geospatial semantics: information modeling and elicitation. The first topic deals with the development of ontologies at different levels of generality and formality, tailored to various needs and uses. The second topic involves a set of processes that aim to draw out latent knowledge from unstructured or semi-structured content: semantic-based extraction, enrichment, search, and analysis. These processes focus on eliciting a structured representation of information in various forms such as: semantic metadata, links to ontology concepts, a collection of topics, etc. The paper reviews the progress made over the last five years in these two very active areas of research. It discusses the problems and the challenges faced, highlights the types of semantic information formalized and extracted, as well as the methodologies and tools used, and identifies directions for future research.


2007 ◽  
Vol 13 (4) ◽  
pp. 312-330 ◽  
Author(s):  
Belinda Luke ◽  
Martie-Louise Verreynne ◽  
Kate Kearins

AbstractThis paper presents a suggested framework for future research designs to examine the benefits of entrepreneurship, both non-financial and financial. Based on a review of the literature and using contextual exemplars throughout the paper with an Australia and New Zealand focus, we identify a range of benefits from entrepreneurship at the various levels of analysis (e.g. individual, organizational, national). From a non-financial perspective such benefits include independence, autonomy, competitive advantage, increased market share, employment and increased standards of living. From a financial perspective, entrepreneurships benefits include enhanced remuneration or rent from revenue, profits, cash flow, return on investment and increases in GDP – specific financial measures to be expressed in clear financial terms. The suggested framework represents both an initial step towards the measurement of entrepreneurships financial benefits and a valuable starting point for the development of a theory of the non-financial and financial benefits of entrepreneurship.


2020 ◽  
Vol 5 (1) ◽  
pp. 326-338 ◽  
Author(s):  
Kristen Weidner ◽  
Joneen Lowman

Purpose We conducted a systematic review of the literature regarding adult telepractice services (screening, assessment, and treatment) from approximately 2014 to 2019. Method Thirty-one relevant studies were identified from a literature search, assessed for quality, and reported. Results Included studies illustrated feasibility, efficacy, diagnostic accuracy, and noninferiority of various speech-language pathology services across adult populations, including chronic aphasia, Parkinson's disease, dysphagia, and primary progressive aphasia. Technical aspects of the equipment and software used to deliver services were discussed. Some general themes were noted as areas for future research. Conclusion Overall, results of the review continue to support the use of telepractice as an appropriate service delivery model in speech-language pathology for adults. Strong research designs, including experimental control, across multiple well-described settings are still needed to definitively determine effectiveness of telepractice services.


2012 ◽  
Vol 11 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Silke Astrid Eisenbeiß ◽  
Steffen R. Giessner

The present paper gives a review of empirical research on ethical leadership and shows that still little is known known about the contextual antecedents of ethical leadership. To address this important issue, a conceptual framework is developed that analyzes the embeddedness of organizational ethical leadership. This framework identifies manifest and latent contextual factors on three different levels of analysis – society, industry, and organization – which can affect the development and maintenance of ethical leadership. In particular, propositions are offered about how (1) societal characteristics, notably the implementation and the spirit of human rights in a society and societal cultural values of responsibility, justice, humanity, and transparency; (2) industry characteristics such as environmental complexity, the content of the organizational mandate, and the interests of stakeholder networks; and (3) intra-organizational characteristics, including the organizational ethical infrastructure and the ethical leadership behavior of a leader’s peer group, influence the development and maintenance of ethical leadership in organizations. This list of factors is not exhaustive, but illustrates how the three levels may impact ethical leadership. Implications for managerial practice and future research are discussed.


2020 ◽  
Author(s):  
Robert Kaczmarczyk ◽  
Felix Bauerdorf ◽  
Alexander Zink

BACKGROUND Every two years, German-speaking dermatologic specialist groups gather in Berlin to share the latest developments at Germany´s largest dermatologic conference, the Annual Meeting of the Germany Society of Dermatology (DDG). Because this conference has a lasting effect on dermatologic practice and research, understanding what is moving the specialist groups means understanding what is driving dermatology in Germany. OBJECTIVE The objective of the article is to introduce the medical scientific community to a data visualization method, which will help understand more sophisticated data analysis and processing approaches in the future. METHODS We used word network analysis to compile and visualize the information embedded in the contribution titles to the DDG Annual Meeting in 2019. We extracted words, contributing cities and inter-connections. The data was standardized, visualized using network graphs and analyzed using common network analysis parameters. RESULTS A total of 5509 words were extracted from 1150 contribution titles. The most frequently used words were “therapy”, “patients”, and “psoriasis”. The highest number of contributions came from Hamburg, Berlin and Munich. High diversity in research topics was found, as well as a well-connected research network. CONCLUSIONS Focus of the well-connected German-speaking dermatology community meeting 2019 was patient and therapy centered and lies especially on the diseases psoriasis and melanoma. Network graph analysis can provide helpful insights and help planning future congresses. It can facilitate the choice which contributors to include as imbalances become apparent. Moreover, it can help distributing the topics more evenly across the whole dermatologic spectrum.


Author(s):  
Tera D. Letzring

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.


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