Career Break, Not a Brake on Career: A Study of the Reasons and Enablers of Women’s Re-entry to Technology Careers in India

2020 ◽  
pp. 227853372096432
Author(s):  
Swati Singh ◽  
Sita Vanka
Keyword(s):  
Text Analysis ◽  
Women Professionals ◽  
Future Research ◽  
Analysis Software ◽  
Work Centrality ◽  
Technology Sector ◽  
Future Research Agenda ◽  
Collection Data ◽  
Unexplored Area ◽  
High Level

Career re-entry of women in the technology sector remains an unexplored area. With the increasing focus of information technology (IT) organisations to attract, retain and promote women at the workplace, career re-entry among women professionals’ merits attention. The purpose of this study is to investigate the reasons and enablers of career re-entry among women who plan a re-entry in the IT sector in India. This study employed a qualitative research method and used interviews as a tool for data collection. Data collected through the interviews of re-entry women ( n = 28) was analysed with the help of qualitative analysis software ATLAS.ti. Further, text analysis was also performed through Voyant tools. Findings suggest that a strong career identity, a high level of work centrality and an urge to regain financial independence motivated women to return to IT careers. Findings revealed seven distinct enablers of career re-entry. Based on this finding, a model of the support ecosystem is discussed that presents an intricate relationship between the enablers of career re-entry, support ecosystem and career resumption. Moreover, findings indicate that an active agency of women, a support ecosystem and favourable life events lead to career re-entry. Managerial and theoretical implications of findings are discussed. The article concludes with limitations and future research agenda.

scholarly journals Improving Text Analysis Using Sentence Conjunctions and Punctuation

2020 ◽  
Vol 39 (4) ◽  
pp. 727-742 ◽  
Author(s):  
Joachim Büschken ◽  
Greg M. Allenby
Keyword(s):  
Text Analysis ◽  
Latent Variable ◽  
Topic Model ◽  
Topic Models ◽  
Future Research ◽  
Multiple Data ◽  
Variable Approach ◽  
Multiple Data Sets ◽  
Carry Over ◽  
High Level

User-generated content in the form of customer reviews, blogs, and tweets is an emerging and rich source of data for marketers. Topic models have been successfully applied to such data, demonstrating that empirical text analysis benefits greatly from a latent variable approach that summarizes high-level interactions among words. We propose a new topic model that allows for serial dependency of topics in text. That is, topics may carry over from word to word in a document, violating the bag-of-words assumption in traditional topic models. In the proposed model, topic carryover is informed by sentence conjunctions and punctuation. Typically, such observed information is eliminated prior to analyzing text data (i.e., preprocessing) because words such as “and” and “but” do not differentiate topics. We find that these elements of grammar contain information relevant to topic changes. We examine the performance of our models using multiple data sets and establish boundary conditions for when our model leads to improved inference about customer evaluations. Implications and opportunities for future research are discussed.

scholarly journals CARONTE project: Creating an Agenda for Research on Transportation Security

2016 ◽  
Author(s):  
Jorge Leon Bello ◽  
Emilio Gonzalez Viosca
Keyword(s):  
Research Agenda ◽  
Transport Systems ◽  
Future Research ◽  
Infrastructure Management ◽  
The European Union ◽  
Research Projects ◽  
Step Method ◽  
Future Research Agenda ◽  
New Research ◽  
High Level

Europe’s prosperity relies on effective transport systems. Any attacks and disturbances to land freight and passenger transport would have significant impact on economic growth, territorial cohesion, social development and the environment. Unfortunately, there are weaknesses in the land transport security.The objective of CARONTE project is define a future research agenda for security in land transport that focuses on core gaps caused by emerging risks while avoiding any doubling-up of research elsewhere. Its research agenda will cover all threats, including cyber-crime, and security aspects across all modes of land transportation. At the same time, it will respect the fundamental human rights and privacy of European citizens. The step-by-step method of CARONTE’s consortium has analyzed the state of the art and emerging risks; has identified gaps, analyses and assessments of potential solutions; and has produced an overall research agenda for the future. CARONTE’s results will answer the following questions among others: Which existing research projects merit a follow up and extension?Where are the combinations or synergy effects to be attended?Which themes and topics should be elaborated in new research projects?Who should be involved and integrated in future research projects (stakeholders, authorities, etc.)? The CARONTE consortium includes universities and research institutes, companies, and end-users providing with experience in research and consultancy in transportation, logistics, infrastructure management, security and communications. ITENE - Instituto Tecnológico del Embalaje, Transporte y Logística-  has been one of the Project partners among a total of 11 members from eight different countries in the European Union which have also been supported via a High Level Advisory Board.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3272

scholarly journals Statistical Population Register: using administrative in the Canadian Census

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Sylvain Cloutier
Keyword(s):  
Administrative Data ◽  
Future Research ◽  
Efficient Production ◽  
Population Register ◽  
Statistical Population ◽  
Future Research Agenda ◽  
The Future ◽  
Statistics Canada ◽  
High Level ◽  
Population Counts

IntroductionFor a number of years, Statistics Canada has been evaluating the potential of increasing its use of administrative data into its Census Program. The research conducted so far has revealed that it could be possible to produce the census population counts by using existing administrative data. Objectives and ApproachThe building of the Statistical Population Register (SPR) is one step towards achieving the use of administrative data into the Canadian Census Program. In addition, the SPR, in combination with the Business Register and the Statistical Building Register, would support a more efficient production of statistics via a multi-register-based system in the future. The SPR is created by linking numerous administrative data sources (federal, provincial, municipal and private). The in-scope Canadian population is then identified and extracted from the SPR. ResultsThe presentation will focus on the reasons as well as the goals that had to be met in the initial research project in order to demonstrate the potential of using administrative data within the Census Program. The current state of the project will be highlighted by presenting high-level results at the Canadian, provincial and territorial levels. This is accomplished by comparing the Statistical Population Register’s in-scope population to its reference, Statistics Canada’s official population counts. Conclusion/ImplicationsDespite promising results, areas of improvements have already been identified and work is under way in order to improve the quality of the upcoming Statistical Population Register. The final section of the presentation will be devoted to the future research agenda of the Census Program.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

The Limits of Ego Depletion

2019 ◽  
Vol 50 (5-6) ◽  
pp. 292-304 ◽  
Author(s):  
Mario Wenzel ◽  
Marina Lind ◽  
Zarah Rowland ◽  
Daniela Zahn ◽  
Thomas Kubiak
Keyword(s):  
Research Agenda ◽  
Statistical Power ◽  
Interindividual Variability ◽  
Ego Depletion ◽  
Crossover Design ◽  
Effect Sizes ◽  
Future Research ◽  
Future Research Agenda ◽  
Depletion Effect ◽  
Within Subjects

Abstract. Evidence on the existence of the ego depletion phenomena as well as the size of the effects and potential moderators and mediators are ambiguous. Building on a crossover design that enables superior statistical power within a single study, we investigated the robustness of the ego depletion effect between and within subjects and moderating and mediating influences of the ego depletion manipulation checks. Our results, based on a sample of 187 participants, demonstrated that (a) the between- and within-subject ego depletion effects only had negligible effect sizes and that there was (b) large interindividual variability that (c) could not be explained by differences in ego depletion manipulation checks. We discuss the implications of these results and outline a future research agenda.

UPAYA MENINGKATKAN KOMPETENSI GURU SMP DALAM MENYUSUN TES HASIL BELAJAR BERBASIS KETERAMPILAN BERPIKIR KRITIS MELALUI SUPERVISI AKADEMIK

2019 ◽  
Vol 3 (4) ◽  
pp. 772
Author(s):  
Leni Suryani
Keyword(s):  
Critical Thinking ◽  
Data Collection ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Teacher Competence ◽  
Collection Data ◽  
High Level ◽  
Teacher Data

This research is motivated by the competence of teachers in preparing poor learning outcomes tests and has not been able to measure high-level thinking skills, especially critical thinking skills. Therefore the researcher seeks to improve teacher competence in compiling tests on student learning outcomes based on critical thinking skills through academic supervision. This study uses a school action research design that has stages of planning, implementation, observation, and reflection. This research was conducted for 2 months starting April 9 to May 17, 2019 for Physics teachers in the 7 target schools. Data is sourced from interviews with teachers and test documents prepared by the teacher. Data collection techniques include observation, interviews and documentation. Data analysis through the stages of data collection, data simplification, data presentation, conclusion drawing. Data were analyzed using assessment rubrics adjusted to indicators of critical thinking skills. The results of this study conclude that teacher competence in preparing tests of learning outcomes based on critical thinking skills has increased from the first cycle with a percentage of 61% with sufficient categories to 76% with good categories in cycle II.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

Academic Events: An Empirically Grounded Typology and Their Academic Impact

2020 ◽  
Vol 24 (4) ◽  
pp. 481-497 ◽  
Author(s):  
Thomas Trøst Hansen ◽  
David Budtz Pedersen ◽  
Carmel Foley
Keyword(s):  
Analytical Framework ◽  
Future Research ◽  
Academic Impact ◽  
Future Research Agenda ◽  
Tourism Studies ◽  
Academic Events ◽  
Business Events ◽  
The Individual ◽  
Analytical Frameworks ◽  
Academic Sector

The meetings industry, government bodies, and scholars within tourism studies have identified the need to understand the broader impact of business events. To succeed in this endeavor, we consider it necessary to develop analytical frameworks that are sensitive to the particularities of the analyzed event, sector, and stakeholder group. In this article we focus on the academic sector and offer two connected analyses. First is an empirically grounded typology of academic events. We identify four differentiating dimensions of academic events: size, academic focus, participants, and tradition, and based on these dimensions we develop a typology of academic events that includes: congress, specialty conference, symposium, and practitioners' meeting. Secondly, we outline the academic impact of attending these four types of events. For this purpose, the concept of credibility cycles is used as an analytical framework for examining academic impact. We suggest that academic events should be conceptualized and evaluated as open marketplaces that facilitate conversion of credibility. Data were obtained from interviews with 22 researchers at three Danish universities. The study concludes that there are significant differences between the events in terms of their academic impact. Moreover, the outcome for the individual scholar depends on the investment being made. Finally, the study calls for a future research agenda on beyond tourism benefits based on interdisciplinary collaborations.

The Energy Politics of the United States

2020 ◽  
pp. 371-405
Author(s):  
Juliann Emmons Allison ◽  
Srinivas Parinandi
Keyword(s):  
Energy Policy ◽  
The United States ◽  
Political Polarization ◽  
Future Research ◽  
Future Research Agenda ◽  
Production And Consumption ◽  
Energy Politics ◽  
Climate Action ◽  
Subnational Governance

This chapter examines the development and politics of US energy policy, with an emphasis on three themes: the distribution of authority to regulate energy between national (or federal) and subnational governments, the relationship between energy and environmental policy and regulation, and the role of climate action in energy politics. It reviews patterns of energy production and consumption; provides an overview of national energy politics; and reviews literatures on federalism and energy politics and policy, the increasing integration of energy and environmental policies, and the politics of energy and climate action. The chapter concludes with a discussion of a future research agenda that underscores the significance of political polarization, subnational governance, and technological innovation for understanding US energy policy.

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