A Case Study in Data Mining for Automated Building of Teams

2010 ◽  
pp. 247-265 ◽  
Author(s):  
Robert K. McCormack
Keyword(s):  
Data Mining ◽  
Small Business ◽  
Personal Information ◽  
Technical Skills ◽  
Research Project ◽  
Team Members ◽  
Ethical Implications ◽  
Employee Data

This chapter highlights a case study involving research into the science of building teams. Accomplishment of mission goals requires team members to not only possess the required technical skills but also the ability to collaborate effectively. The authors describe a research project that aims to develop an automated staffing system. Any such system requires a large amount of personal information about the potential team members under consideration. Gathering, storing, and applying this data raises a spectrum of concerns, from social and ethical implications, to technical hurdles. The authors hope to highlight these concerns by focusing on their research efforts which include obtaining and using employee data within a small business.

scholarly journals Contamination of overt data with covert data

2017 ◽  
Vol 14 (4) ◽  
pp. 1-3
Author(s):  
James Pickles
Keyword(s):  
Data Collection ◽  
Hate Crime ◽  
Data Gathering ◽  
Research Participant ◽  
Structured Interviews ◽  
Research Project ◽  
Ethical Implications ◽  
Personal Experiences

A research project was conducted which explored LGBT (lesbian, gay, bisexual, transgender) hate crime. Participants were invited to share their narratives and personal experiences of hate crime, discrimination and violence through semi-structured interviews. The study helped us understand how people who experience ‘hate’ responded to, managed and reconciled the identities for which they were victimized. This case study focuses on a situation where a research participant requested a copy of an interview they gave for the hate crime project. The interview copy was to be used for the participant’s own personal purposes. The participant’s request potentially risked the contamination of ethical (overt) data collection, with their own covert data gathering. The ethical implications of this scenario raise many questions for ethicists and researchers to discuss.

Developing a Team Behavioural Marker Framework Using Observations of Simulator-Based Exercises to Improve Team Effectiveness: A Drilling Team Case Study

2017 ◽  
Vol 48 (3) ◽  
pp. 299-313 ◽  
Author(s):  
Margaret T. Crichton ◽  
Scott Moffat ◽  
Lauren Crichton
Keyword(s):  
Team Performance ◽  
Technical Skills ◽  
Technical Training ◽  
Team Members ◽  
Four Dimensions ◽  
Training Course ◽  
Effective Performance ◽  
Team Interactions ◽  
Training Exercises

Background. Due to the challenge of conducting observations of drilling team behaviours on an offshore installation during actual operations, a high fidelity simulator provided the opportunity to observe team behaviours when managing complex and uncertain situations. Aim. This article describes how such observations were used to develop a team behavioural marker framework subsequently used for debriefing. Method. Team behaviours and interactions were recorded during 25 simulator-based training exercises which had been integrated into a technical training course. These were then analysed, and four dimensions, with example behaviours, were identified. Results. The behavioural markers formed the basis of training objectives, and provided structure for debriefing team performance. The use of the simulator provided concrete examples of both effective and ineffective behaviours. Conclusions. Notable improvements in drilling team interactions and behaviours were noted over the course of five exercises, which ranged in complexity and uncertainty, throughout the training course. Enhancing team non-technical skills will lead to safer and more effective performance, and facilitate the transfer from training to actual operations. Team members also became more familiar with the concepts and terminology of non-technical skills and integrated behavioural markers into workplace practices such as Tool Box Talks, Stop Work Authority, and Time-Outs.

Maximizing Expertise and Collaboration to Support Students With Brain Injury: A Case Study in Speech-Language Pathology

2019 ◽  
Vol 4 (6) ◽  
pp. 1267-1282
Author(s):  
Jessica Salley ◽  
Sarah Krusen ◽  
Margaret Lockovich ◽  
Bethany Wilson ◽  
Brenda Eagan-Johnson ◽  
...  
Keyword(s):  
Brain Injury ◽  
Medical Setting ◽  
Speech Language Pathology ◽  
Speech Language Pathologists ◽  
Team Members ◽  
School Activities ◽  
School Based ◽  
Language Pathology ◽  
Specialized Education

Purpose Through a hypothetical case study, this article aimed to describe an evidence-based approach for speech-language pathologists in managing students with moderate-to-severe traumatic brain injury (TBI), particularly within a formal statewide-supported school-based brain injury team model, such as the BrainSTEPS Brain Injury School Consulting Program operating in Pennsylvania and Colorado. Conclusion Upon transitioning from the medical setting back to school, children with TBI present with unique educational needs. Children with moderate-to-severe TBIs can demonstrate a range of strengths and deficits in speech, language, cognition, and feeding and swallowing, impacting their participation in various school activities. The specialized education, training, and insight of speech-language pathologists, in collaboration with multidisciplinary medical and educational team members, can enable the success of students with TBI when transitioning back to school postinjury ( DePompei & Blosser, 2019 ; DePompei & Tyler, 2018 ). This transition should focus on educational planning, implementation of strategies and supports, and postsecondary planning for vocations or higher education.

CASE STUDY OF A QUALITY COST MODEL IN A SMALL BUSINESS

2016 ◽  
Vol 7 (2) ◽  
pp. 1-24
Author(s):  
Neto Jose Alves da Silva ◽  
◽  
Giacaglia Giorgio Eugenio Oscare ◽  
Keyword(s):  
Small Business ◽  
Cost Model ◽  
Quality Cost

The application of E-commerce among small medium enterprises : a case study in Kelantan

2007 ◽  
Vol 4 (2) ◽  
pp. 45
Author(s):  
Norudin Mansor ◽  
Che Ismail Long ◽  
Ahmad Ismail Mohd. Annuar
Keyword(s):  
Competitive Advantage ◽  
General Assumption ◽  
The State ◽  
Business Community ◽  
Research Project ◽  
Business Decision ◽  
Small Medium Enterprises ◽  
Medium Enterprises

The research project was conducted to investigate the understanding of E-commerce Application among the SMEs in the state of Kelantan. Focusing on the population of registered members of Dewan Perniagaan Melayu Malaysia, Kelantan, a total of302 respondents were selected to participate in our study. Moving in line with the general assumption of world business community it is agreed that e-commerce application is highly relevant for the survival and meeting the challenges of borderless economy. At the same time, the process of acquiring knowledge and understanding the environment, coping with changes, and speeding up the business decision, able to further enhance the competitive advantage of the SMEs. Using the established model, our investigation focused on 5 identifiable variables to demonstrate its usefulness towards motivating SMEs to adopt e-commerce. Our analysis indicated that all the selected variables were significant towards enhancing the application of e-commerce and thus maintaining competitive advantage in the industry.

Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Microsoft Excel ◽  
Customer Data ◽  
Data Mining Techniques ◽  
C4.5 Algorithm ◽  
Marketing Costs ◽  
Excel Format ◽  
Data Mining Application

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future

Assessment : Basic Concepts, Thoughtful Decisions

2017 ◽  
Vol 1 (1) ◽  
pp. 9-21
Author(s):  
Milton Raul Licona Luna ◽  
Elizabeth Alvarado Martínez
Keyword(s):  
Higher Education ◽  
Foreign Language ◽  
Language Learning ◽  
Assessment For Learning ◽  
Continuous Assessment ◽  
Research Project ◽  
Basic Concepts ◽  
Education In Mexico

Institutions from basic to higher education in Mexico that offer courses of English as a Foreign Language rely heavily on the administering of assessment, usually a formal type of assessment. However, the literature shows how important it is the involvement of other types of assessment in the classroom for effective language learning to take place. For instance, assessment for learning, which consist of a continuous assessment where learners receive feedback so greater learning occurs, what is more, it enables teachers to modify their teaching ways as they reflect on the learners’ progress. To show how assessment is carried out in our context, this research project focuses on a case study within the CAADI from FOD in the UANL.

Corporate acceleration process: a systems psychodynamics perspective

2020 ◽  
Vol 33 (6) ◽  
pp. 1163-1180
Author(s):  
Piotr Wójcik ◽  
Krzysztof Obłój ◽  
Aleksandra Wąsowska ◽  
Szymon Wierciński
Keyword(s):  
Open Innovation ◽  
Negative Emotions ◽  
Acceleration Process ◽  
Content Type ◽  
Team Members ◽  
Third Phase ◽  
Multiple Case ◽  
Social Defenses ◽  
Practical Implications

PurposeThe purpose of this paper is to explore the emotional dynamics of the corporate acceleration process, using the systems psychodynamics perspective.Design/methodology/approachThe study applies inductive multiple case study of embedded 10 cases of corporate acceleration, covering both incumbent and startup perspectives, occurring in the context of a corporate accelerator.FindingsWe find that (1) the process of corporate acceleration involves three phases, each of them is dominated by a different emotional state (hope, anxiety and acceptance), triggering different behavioral responses; (2) as a means to deal with negative emotions, entrepreneurs and corporate acceleration program's team members develop different mechanisms of dealing with contradictories in subsequent acceleration phases (defense and copying mechanisms), which are reflected in their behaviors. Coping mechanisms with goal reformulation (i.e. refocus from the officially declared “open innovation” goals toward mainly symbolic ones) is an effective strategy to manage negative emotions in third phase of the acceleration.Research limitations/implicationsOur sample is limited to two relatively similar accelerators established by telecom companies, and therefore, our theoretical and practical conclusions cannot be generalized.Practical implicationsWe supplement the studies of corporate accelerators that imply how to design them better and improve decision-making rules with recommendation that in order to improve their effectiveness in terms of learning and innovations, their managers need not only to learn how to manage structural and procedural differences but also how to overcome social defenses triggered by corporate–startups cooperation.Originality/valueBy documenting a multidimensional impact of acceleration process, and especially shedding light on psychodynamic aspects behind such liaisons, this paper contributes to richer understanding of corporate–startup relationships, typically examined through a rationalistic lens of strategy literature. The study contributes to interorganizational research and open innovation literature, by showing that corporate acceleration process is marked by phases based on the type of emotions intertwined with the nature and dynamism of its life cycle. It indicates how these emotions are managed depending on their type.

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