A Network Data Science Approach to People Analytics

2019 ◽  
Vol 32 (2) ◽  
pp. 28-51 ◽  
Author(s):  
Nan Wang ◽  
Evangelos Katsamakas
Keyword(s):  
Power Law ◽  
Data Science ◽  
Weighted Graph ◽  
Future Research ◽  
Network Data ◽  
Development Organization ◽  
Centrality Metrics ◽  
Science Approach ◽  
Future Research Directions ◽  
Using Data

The best companies compete with people analytics. They maximize the business value of their people to gain competitive advantage. This article proposes a network data science approach to people analytics. Using data from a software development organization, the article models developer contributions to project repositories as a bipartite weighted graph. This graph is projected into a weighted one-mode developer network to model collaboration. Techniques applied include centrality metrics, power-law estimation, community detection, and complex network dynamics. Among other results, the authors validate the existence of power-law relationships on project sizes (number of developers). As a methodological contribution, the article demonstrates how network data science can be used to derive a broad spectrum of insights about employee effort and collaboration in organizations. The authors discuss implications for managers and future research directions.

scholarly journals Knowledge Graph Analysis of Human Health Research Related to Climate Change

2020 ◽  
Vol 17 (20) ◽  
pp. 7395
Author(s):  
Yating Zhao ◽  
Jingjing Guo ◽  
Chao Bao ◽  
Changyong Liang ◽  
Hemant K Jain
Keyword(s):  
Climate Change ◽  
Human Health ◽  
Future Research ◽  
Research Directions ◽  
Development Status ◽  
Future Research Directions ◽  
Knowledge Support ◽  
Using Data ◽  
Research Hotspots ◽  
Impacts Of Climate Change

In order to explore the development status, knowledge base, research hotspots, and future research directions related to the impacts of climate change on human health, a systematic bibliometric analysis of 6719 published articles from 2003 to 2018 in the Web of Science was performed. Using data analytics tools such as HistCite and CiteSpace, the time distribution, spatial distribution, citations, and research hotspots were analyzed and visualized. The analysis revealed the development status of the research on the impacts of climate change on human health and analyzed the research hotspots and future development trends in this field, providing important knowledge support for researchers in this field.

scholarly journals Pre-purchase information search and consumer satisfaction: Replication and extension

1986 ◽  
Vol 17 (4) ◽  
pp. 220-224
Author(s):  
D. Rousseau
Keyword(s):  
Information Search ◽  
Consumer Satisfaction ◽  
Future Research ◽  
Eastern Cape ◽  
Market Place ◽  
Research Directions ◽  
Search Behaviour ◽  
Determining Factors ◽  
Future Research Directions ◽  
Using Data

In this paper the author examines consumer satisfaction with major household appliances and its determining factors. Hypotheses relating to pre-purchase information search and product satisfaction as well as previous satisfactory store experiences and subsequent repurchase behaviour are proposed and empirically tested using data from 55 consumers who patronized a large eastern Cape hypermarket. Results imply that product satisfaction is more related to market place variables than actual search behaviour. Repeat shopping intentions are associated with previous shopping experiences at the particular store which also contributes to product satisfaction. Marketing implications and future research directions are briefly discussed.

The Effects of Family Versus Career Role Salience on the Performance of Family and Nonfamily Firms

2009 ◽  
Vol 22 (1) ◽  
pp. 39-52 ◽  
Author(s):  
Tim Barnett ◽  
Kimberly Eddleston ◽  
Franz Willi Kellermanns
Keyword(s):  
Family Firms ◽  
Family Firm ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Future Research ◽  
Role Salience ◽  
Family Versus ◽  
Future Research Directions ◽  
Using Data ◽  
The Relationship

This study investigated how the relative salience of business owners' family and career roles might influence performance outcomes in family versus nonfamily firms. Using data from 156 family and nonfamily firms, the data show that family firm status moderates the relationships such that the career role salience of a business owner is positively and more strongly associated with performance outcomes in family firms than in nonfamily firms. Conversely, the data show that family firm status negatively moderates the relationship between the business owner's family role salience and expansion activities. Implications for theory and practice, as well as future research directions, are discussed.

scholarly journals The Influence Of Market Related Mobile Activities On The Acceptance Of Mobile Marketing And Consumer Intention To Purchase Products Promoted By SMS In South Africa

2013 ◽  
Vol 29 (6) ◽  
pp. 1897 ◽  
Author(s):  
Richard Chinomona ◽  
Maxwell Sandada
Keyword(s):  
South Africa ◽  
Purchase Intention ◽  
Structural Equation ◽  
Mobile Marketing ◽  
Future Research ◽  
Managerial Implications ◽  
Marketing Activities ◽  
African Context ◽  
Future Research Directions ◽  
Using Data

There is an increasing attention being accorded to mobile marketing activities in recent business management literature in the past decade as both academicians and practitioners recognize that mobile activities have potential influence on mobile marketing acceptance and customer purchase intention. Notwithstanding this, there is dearth of research on the same in the African context. In view of this development, the purpose of this research paper is to investigate the extent to which mobile marketing activities influence customers mobile marketing acceptance and their purchase intention in South Africa. Five research hypotheses are postulated and using data collected from mobile marketing activities partakers, the hypotheses are tested using Structural Equation Modelling (SEM) approach (Smart PLS). Managerial implications of the findings are discussed and limitations and future research directions are indicated.

scholarly journals Study Of A Hybrid Photovoltaic-Wind Smart Microgrid Using Data Science Approach

2021 ◽  
Author(s):  
Josimar Edinson Chire Saire ◽  
Jose Armando Gastelo-Roque ◽  
Franco Canziani
Keyword(s):  
Data Science ◽  
Science Approach ◽  
Using Data

Measuring the Efficiency of Free and Open Source Software Projects Using Data Envelopment Analysis

2007 ◽  
pp. 25-46
Author(s):  
Stefan Koch
Keyword(s):  
Data Envelopment Analysis ◽  
Open Source ◽  
Optimization Method ◽  
Future Research ◽  
Data Envelopment ◽  
Software Projects ◽  
Data Set ◽  
Output Factors ◽  
Future Research Directions ◽  
Using Data

In this chapter, we propose for the first time a method to compare the efficiency of free and open source projects, based on the data envelopment analysis (DEA) methodology. DEA offers several advantages in this context, as it is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconomies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 43 large F/OS projects retrieved from SourceForge.net, we demonstrate the application of DEA, and show that DEA indeed is usable for comparing the efficiency of projects. We will also show additional analyses based on the results, exploring whether the inequality in work distribution within the projects, the licensing scheme or the intended audience have an effect on their efficiency. As this is a first attempt at using this method for F/OS projects, several future research directions are possible. These include additional work on determining input and output factors, comparisons within application areas, and comparison to commercial or mixed-mode development projects.

scholarly journals The influence of employees’ perceptions of organizational politics on turnover intentions in Zimbabwe’s SME sector

2013 ◽  
Vol 44 (2) ◽  
pp. 57-66 ◽  
Author(s):  
R. Chinomona ◽  
E. Chinomona
Keyword(s):  
Turnover Intentions ◽  
Small And Medium Enterprises ◽  
Organizational Politics ◽  
Future Research ◽  
Negative Effects ◽  
Perceptions Of Organizational Politics ◽  
Managerial Implications ◽  
Future Research Directions ◽  
Using Data ◽  
Medium Enterprises

Despite increasing awareness of the importance of managing the negative effects of organizational politics at the workplace, research on consequences relating to employees’ perceptions of the same in small and medium enterprises (SMEs) in Africa has received little attention. Therefore, using data from 250 SMEs in Zimbabwe, this study examines the effects of employees’ perceptions of organizational politics on turnover intentions and the mediating influence of employees’ perceptions of equity and organizational commitment. All the posited six hypotheses were supported by the sample data. Managerial implications of the findings are discussed and limitations and future research directions are indicated.

A Taxonomy of Glyph Placement Strategies for Multidimensional Data Visualization

2002 ◽  
Vol 1 (3-4) ◽  
pp. 194-210 ◽  
Author(s):  
Matthew O Ward
Keyword(s):  
Multidimensional Data ◽  
Future Research ◽  
Data Sets ◽  
Significant Information ◽  
Data Set ◽  
Multidimensional Data Visualization ◽  
Data Points ◽  
Future Research Directions ◽  
Visualization Of Data ◽  
Using Data

Glyphs are graphical entities that convey one or more data values via attributes such as shape, size, color, and position. They have been widely used in the visualization of data and information, and are especially well suited for displaying complex, multivariate data sets. The placement or layout of glyphs on a display can communicate significant information regarding the data values themselves as well as relationships between data points, and a wide assortment of placement strategies have been developed to date. Methods range from simply using data dimensions as positional attributes to basing placement on implicit or explicit structure within the data set. This paper presents an overview of multivariate glyphs, a list of issues regarding the layout of glyphs, and a comprehensive taxonomy of placement strategies to assist the visualization designer in selecting the technique most suitable to his or her data and task. Examples, strengths, weaknesses, and design considerations are given for each category of technique. We conclude with some general guidelines for selecting a placement strategy, along with a brief description of some of our future research directions.

Ethnic and Religious Tolerance in Poland

2009 ◽  
Vol 23 (3) ◽  
pp. 371-391 ◽  
Author(s):  
Ewa Gołębiowska
Keyword(s):  
Future Research ◽  
Political Implications ◽  
Tremendous Progress ◽  
The Status ◽  
Democratic Revolution ◽  
Future Research Directions ◽  
Nationally Representative ◽  
Using Data ◽  
Hearts And Minds

Since its democratic revolution was set in motion, Poland has enjoyed tremendous progress in its degree of democratic consolidation. For example, significant institutional changes have taken place in the status of Poland's ethnic, national, and religious minorities. Yet, institutional protections alone do not fully capture the extent of openness to diversity. More comprehensive depictions of the quality of democracy need to encompass investigations of the democratic citizens' “hearts and minds.” In this article, using data from a recent nationally representative survey, the author examines the extent and sources of Poles' tolerance of ethnic and religious difference. She focuses on social tolerance of difference, using questions about acceptance of interethnic and interreligious marriage as the dependent variables. As part of the inquiry, the author compares and contrasts the levels and sources of tolerance of interreligious marriage over time and discusses the political implications of the findings and future research directions.

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