The disciplinary research landscape of data science reflected in data science journals

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lingzi Hong ◽  
William Moen ◽  
Xinchen Yu ◽  
Jiangping Chen
Keyword(s):  
Design Methodology ◽  
Data Science ◽  
Science Research ◽  
Theoretical Research ◽  
Research Papers ◽  
Content Type ◽  
Research Questions ◽  
Almost All ◽  
Research Types ◽  
Quantitative And Qualitative Methods

Purpose This paper aims to selects 59 journals that focus on data science research in 14 disciplines from the Ulrichsweb online repository. This paper analyzes the aim and scope statement using both quantitative and qualitative methods to identify the research types and the scope of research promoted by these journals. Design/methodology/approach Multiple disciplines are involved in data science research and publishing, but there lacks an overview of what those disciplines are and how they relate to data science. In this study, this paper aims to understand the disciplinary characteristics of data science research. Two research questions are answered: What is the population of journals that focus on data science? What disciplinary landscape of data science is revealed in the aim and scope statements of these journals? Findings Theoretical research is mainly included in journals that belong to statistics, engineering and sciences. Almost all data science journals include applied research papers. Keywords analysis shows that data science research in computers, statistics, engineering and sciences appear to share characteristics. While in other disciplines such as biology, business and education, the keywords are indicative of the types of data to be used and the special problems in these disciplines. Originality/value This is the first study to use journals as the unit of analysis to identify the disciplines involved in data science research. The results provide an overview of how researchers and educators from different disciplinary backgrounds understand data science research.

Twinning data science with information science in schools of library and information science

2018 ◽  
Vol 74 (6) ◽  
pp. 1243-1257 ◽  
Author(s):  
Lin Wang
Keyword(s):  
Design Methodology ◽  
Data Science ◽  
Information Science ◽  
Mission Statement ◽  
Science Research ◽  
Library And Information Science ◽  
Data Quality Control ◽  
Control Data ◽  
Content Type ◽  
Quality Control Data

PurposeAs an emerging discipline, data science represents a vital new current of school of library and information science (LIS) education. However, it remains unclear how it relates to information science within LIS schools. The purpose of this paper is to clarify this issue.Design/methodology/approachMission statement and nature of both data science and information science are analyzed by reviewing existing work in the two disciplines and drawing DIKW hierarchy. It looks at the ways in which information science theories bring new insights and shed new light on fundamentals of data science.FindingsData science and information science are twin disciplines by nature. The mission, task and nature of data science are consistent with those of information science. They greatly overlap and share similar concerns. Furthermore, they can complement each other. LIS school should integrate both sciences and develop organizational ambidexterity. Information science can make unique contributions to data science research, including conception of data, data quality control, data librarianship and theory dualism. Document theory, as a promising direction of unified information science, should be introduced to data science to solve the disciplinary divide.Originality/valueThe results of this paper may contribute to the integration of data science and information science within LIS schools and iSchools. It has particular value for LIS school development and reform in the age of big data.

Gated communities in Ankara: are they a tool of social segregation?

2017 ◽  
Vol 10 (5) ◽  
pp. 687-702
Author(s):  
Leyla Alkan-Gökler
Keyword(s):  
Socioeconomic Status ◽  
Design Methodology ◽  
Gated Communities ◽  
Content Type ◽  
Positive View ◽  
Social Segregation ◽  
Show Evidence ◽  
Local Residents ◽  
Almost All ◽  
The Impact

Purpose Gated communities, surrounded by walls or fences, have emerged as a new trend in almost all cities in Turkey, and are homogenous in terms of the socioeconomic status of their occupants. Within these communities, several facilities and services are provided that are available only to the residents, with restrictions on access from the outside, and this has led to criticisms of social segregation. This study aims to analyze the impact of these communities on social segregation in Ankara, through two different surveys aimed at investigating the attitudes of the residents of local neighborhoods and gated communities toward each other. Design/methodology/approach This paper analyzes how the process of gating has affected social segregation in Ankara through two separate surveys: with the residents of gated communities and with the residents of local neighborhoods around these gated communities. Findings The study revealed that the residents of gated communities tended to have a positive view of the residents of local neighborhoods. In contrast, the responses of the local residents show evidence of feelings of social segregation, based on the presence of the high walls, fences and guards that are in place to keep them out of the community. Originality/value This study shows that, although segregation from the rest of the society is not the main reason for gating, the emergence of gated communities in Ankara leads inevitably to a socially and economically segregated city in which local residents feel excluded from these gated areas.

Building maps: GIS and student engagement

2018 ◽  
Vol 35 (4) ◽  
pp. 9-12
Author(s):  
Emily McGinn ◽  
Meagan Duever
Keyword(s):  
Student Engagement ◽  
Digital Humanities ◽  
Design Methodology ◽  
Course Design ◽  
Project Planning ◽  
Central Concept ◽  
Content Type ◽  
Innovative Research ◽  
Research Questions ◽  
Tools And Methods

Purpose This paper aims to detail the use of ESRs ArcMap in the undergraduate history classroom, as an example of pedagogical inquiry and as a method for integrating digital humanities (DH) tools and methods directly into humanities research and pedagogy. Design/methodology/approach This class is an example of pedagogical inquiry and a method for integrating DH tools and methods directly into humanities research and pedagogy. Findings With this approach, students see the immediate application of DH to traditional humanities objects of study and aid these in the pursuit of innovative research questions and methods. Originality/value The use of DH in traditional humanities classrooms as a central concept with experts from the libraries integrated into course design and project planning is unique and is a model that could be implemented at other institutions.

Exploring the motivations of tourism social entrepreneurs

2016 ◽  
Vol 28 (6) ◽  
pp. 1137-1154 ◽  
Author(s):  
Ziene Mottiar
Keyword(s):  
Social Entrepreneurship ◽  
Design Methodology ◽  
Local Community ◽  
Positive Impact ◽  
National Strategy ◽  
Social Entrepreneurs ◽  
Content Type ◽  
Key Informant ◽  
Research Questions ◽  
Tourism Destinations

Purpose The purpose of this paper is to examine the motivations of social entrepreneurs. It explores the case of the Gathering in Ireland in 2013, when against a backdrop of recession, the national Government encouraged individuals and communities to organize events and invite the Diaspora to visit Ireland as a way of helping the country to revitalize. Some 5,000 events took place across the country during the year, and this paper examines this in the context of social entrepreneurship. Three research questions are posed: Who were these tourism and social entrepreneurs who organized events as a result of the Gathering? What motivated them to engage in these activities? Will this social entrepreneurship activity be maintained beyond 2013 and how has it been impacted by the Gathering? Design/methodology/approach The empirical research was conducted in two counties in Ireland, Co. Kerry and Co. Westmeath. The research tools used were key informant interviews, a survey of event organizers and focus groups. Findings Key findings show that the Gathering has resulted in the emergence of new social entrepreneurs, but it has also had a positive impact on those who had run their events before, as it made them be more strategic in the way they planned and ran their event and also resulted in them thinking about these events in terms of tourists rather than just the local community. They also developed new skills which will aid their future development. It is clear that social entrepreneurs can play a fundamental role in the development of tourism destinations, and this is an important topic for researchers in tourism to be concerned about. Originality/value The originality of this paper lies in the fact that it addresses the issue of motivation of social entrepreneurs and challenges us to think more about how these types of entrepreneurs identify the problem that they will address. Furthermore, this case shows that the motivation for such action can be prompted by a national strategy, rather than as the literature heretofore represented it as an innate motivation that materialized and developed within particular individuals.

scholarly journals Developing a conceptual model of influences around integrated reporting, new insights and directions for future research

2017 ◽  
Vol 25 (4) ◽  
pp. 450-460 ◽  
Author(s):  
Charl de Villiers ◽  
Pei-Chi Kelly Hsiao ◽  
Warren Maroun
Keyword(s):  
Conceptual Model ◽  
Research Agenda ◽  
Design Methodology ◽  
Future Research ◽  
Special Issue ◽  
Integrated Reporting ◽  
Theoretical Frameworks ◽  
Content Type ◽  
Prior Literature ◽  
Research Questions

Purpose This paper aims to develop a conceptual model for examining the development of integrated reporting, relate the articles in this Meditari Accountancy Research special issue on integrated reporting to the model and identify areas for future research. Design/methodology/approach The paper uses a narrative/discursive style to summarise key findings from the articles in the special issue and develop a normative research agenda. Findings The findings of the prior literature, as well as the articles in this special issue, support the conceptual model developed in this paper. This new conceptual model can be used in multiple ways. Originality/value The special issue draws on some of the latest developments in integrated reporting from multiple jurisdictions. Different theoretical frameworks and methodologies, coupled with primary evidence on integrated reporting, construct a pluralistic assessment of integrated reporting, which can be used as a basis for future research. The new conceptual model developed in this paper can be used as an organising framework; a way of understanding and thinking about the various influences; a way of identifying additional factors to control for in a study; and/or a way of identifying new, interesting and underexplored research questions.

The presence of academic journals on Twitter and its relationship with dissemination (tweets) and research impact (citations)

2017 ◽  
Vol 69 (6) ◽  
pp. 674-687 ◽  
Author(s):  
Jose Luis Ortega
Keyword(s):  
Regression Analysis ◽  
Design Methodology ◽  
Research Impact ◽  
Research Papers ◽  
Content Type ◽  
Paired Samples ◽  
Dissemination Of Research ◽  
Twitter Account ◽  
The Relationship ◽  
Plum Analytics

Purpose The purpose of this paper is to analyze the relationship between dissemination of research papers on Twitter and its influence on research impact. Design/methodology/approach Four types of journal Twitter accounts (journal, owner, publisher and no Twitter account) were defined to observe differences in the number of tweets and citations. In total, 4,176 articles from 350 journals were extracted from Plum Analytics. This altmetric provider tracks the number of tweets and citations for each paper. Student’s t-test for two-paired samples was used to detect significant differences between each group of journals. Regression analysis was performed to detect which variables may influence the getting of tweets and citations. Findings The results show that journals with their own Twitter account obtain more tweets (46 percent) and citations (34 percent) than journals without a Twitter account. Followers is the variable that attracts more tweets (ß=0.47) and citations (ß=0.28) but the effect is small and the fit is not good for tweets (R2=0.46) and insignificant for citations (R2=0.18). Originality/value This is the first study that tests the performance of research journals on Twitter according to their handles, observing how the dissemination of content in this microblogging network influences the citation of their papers.

Earnings management and goodwill impairment

2016 ◽  
Vol 17 (1) ◽  
pp. 120-147 ◽  
Author(s):  
Giuseppe Davide Caruso ◽  
Elisa Rita Ferrari ◽  
Vincenzo Pisano
Keyword(s):  
Earnings Management ◽  
Design Methodology ◽  
Income Smoothing ◽  
Financial Accounting ◽  
Current Debate ◽  
Managerial Behavior ◽  
Content Type ◽  
Listed Firms ◽  
Goodwill Impairment ◽  
Research Questions

Purpose – The purpose of this paper is to understand whether managerial behavior in impairing goodwill arising from M & As has changed after the adoption of IAS/IFRS, searching for evidences of earnings management (EM) practices. Thus, our goal is to provide a response to the following research questions. Are goodwill impairments used by listed firms’ managers to manipulate earnings? If so, what kind of EM practice is mostly used? Design/methodology/approach – In this paper the authors tested the following hypothesis: H1. In the year of the deal’s closure and in the following four years, the management detects impairment of goodwill in difformity with the previous Italian regulations and related accounting practices. Moreover, the authors tried to determine, for each considered firms, potential symptoms of typical DEM practices widely debated in the financial accounting literature (income smoothing, income minimization, income minimization, or big bath accounting). Findings – Our analysis does not prove evidence of certain EM practices, but it highlights very clearly that, after the adoption of IAS/IFRS, managers’ behavior has deeply changed. Moreover, the analysis shows that there is no univocal choice in favor of a specific EM practice and that every firm pursues its own “strategy.” Originality/value – Considering the importance of the topic from both the perspectives of managerial (with regard to M & As valuation processes) and financial accounting (with regard to intangibles valuation fulfilled by applying the impairment test instead of the amortization), this work aims to provide a multi-dimensional contribution to the current debate.

scholarly journals Economic fluctuations and crime: temporary and persistent effects

2016 ◽  
Vol 43 (4) ◽  
pp. 609-623 ◽  
Author(s):  
Keith Bender ◽  
Ioannis Theodossiou
Keyword(s):  
Design Methodology ◽  
Economic Fluctuations ◽  
Strong Positive Correlation ◽  
Dynamic Interactions ◽  
Content Type ◽  
Persistent Effect ◽  
Long Run ◽  
Unemployment And Crime ◽  
Ambiguous Effect ◽  
Almost All

Purpose Since the literature on the effect of the unemployment rate as reflection of economic fluctuations on crime shows an empirically ambiguous effect, the purpose of this paper is to argue that a new way of modeling the dynamics of unemployment and crime by focussing on the transitory and persistent effect of unemployment on crime helps resolve this ambiguity. Design/methodology/approach Panel data for US states from 1965 to 2006 are examined using the Mundlak (1978) methodology to incorporate the dynamic interactions between crime and unemployment into the estimation. Findings After decomposing the unemployment effect on crime into a transitory and persistent effect, evidence of a strong positive correlation between unemployment and almost all types of crime rates is unearthed. This evidence is robust to endogeneity and the controlling for cross-panel correlation and indicators for state imprisonment. Originality/value The paper is the first to examine the dynamics of the interaction of crime and economic fluctuations using the temporary and persistent effects framework of Mundlak (1978). In one set of estimates, one can evaluation both the short- and long-run effects of changes of unemployment on crime.

Statistical and measurement pitfalls in the use of meta-regression in meta-analysis

2017 ◽  
Vol 22 (5) ◽  
pp. 469-476 ◽  
Author(s):  
Frank L. Schmidt
Keyword(s):  
Social Sciences ◽  
Organizational Behavior ◽  
Meta Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Content Type ◽  
Marketing Social ◽  
Meta Regression ◽  
Meta Analyses ◽  
Almost All

Purpose Meta-regression is widely used and misused today in meta-analyses in psychology, organizational behavior, marketing, management, and other social sciences, as an approach to the identification and calibration of moderators, with most users being unaware of serious problems in its use. The purpose of this paper is to describe nine serious methodological problems that plague applications of meta-regression. Design/methodology/approach This paper is methodological in nature and is based on well-established principles of measurement and statistics. These principles are used to illuminate the potential pitfalls in typical applications of meta-regression. Findings The analysis in this paper demonstrates that many of the nine statistical and measurement pitfalls in the use of meta-regression are nearly universal in applications in the literature, leading to the conclusion that few meta-regressions in the literature today are trustworthy. A second conclusion is that in almost all cases, hierarchical subgrouping of studies is superior to meta-regression as a method of identifying and calibrating moderators. Finally, a third conclusion is that, contrary to popular belief among researchers, the process of accurately identifying and calibrating moderators, even with the best available methods, is complex, difficult, and data demanding. Practical implications This paper provides useful guidance to meta-analytic researchers that will improve the practice of moderator identification and calibration in social science research literatures. Social implications Today, many important decisions are made on the basis of the results of meta-analyses. These include decisions in medicine, pharmacology, applied psychology, management, marketing, social policy, and other social sciences. The guidance provided in this paper will improve the quality of such decisions by improving the accuracy and trustworthiness of meta-analytic results. Originality/value This paper is original and valuable in that there is no similar listing and discussion of the pitfalls in the use of meta-regression in the literature, and there is currently a widespread lack of knowledge of these problems among meta-analytic researchers in all disciplines.

Agent-based mechanism design – investigating bounded rationality concepts in a budgeting context

2017 ◽  
Vol 23 (1/2) ◽  
pp. 13-27 ◽  
Author(s):  
Iris Lorscheid ◽  
Matthias Meyer
Keyword(s):  
Mechanism Design ◽  
Bounded Rationality ◽  
Human Behavior ◽  
Design Methodology ◽  
Content Type ◽  
Agent Based ◽  
Decision Context ◽  
Agent Learning ◽  
Groves Mechanism ◽  
Research Questions

Purpose This study aims to demonstrate how agent-based simulation (ABS) may provide a computational testbed for mechanism design using concepts of bounded rationality (BR). ABS can be used to systematically derive and formalize different models of BR. This allows us to identify the cognitive preconditions for behavior intended by the mechanism and thereby to derive implications for the design of mechanisms. Design/methodology/approach Based on an analysis of the requirements of the decision context, the authors describe a systematic way of incorporating different BR concepts into an agent learning model. The approach is illustrated by analyzing an incentive scheme suggested for truthful reporting in budgeting contexts, which is an adapted Groves mechanism scheme. Findings The study describes systematic ways in which to derive BR agents for research questions where behavioral aspects might matter. The authors show that BR concepts may lead to other outcomes than the intended truth-inducing effect. A modification of the mechanism to more distinguishable levels of payments improves the results in terms of the intended effect. Research limitations/implications The presented BR concepts as simulated by agent models cannot model human behavior in its full complexity. The simplification of complex human behavior is a useful analytical construct for the controlled analysis of a few aspects and an understanding of the potential consequences of those aspects of human behavior for mechanism design. Originality/value The paper specifies the idea of a computational testbed for mechanism design based on BR concepts. Beyond this, a systematic and stepwise approach is shown to formalize bounded rational behavior by agents based on a requirements analysis, including benchmark models for the comparison and evaluation of BR concepts.

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