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B. Huang, Brian Buckley, Mohand Kechadi (2010)
Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunicationsExpert Syst. Appl., 37
(2006)
Anti‐stress scheme boosts health and morale of city of London police
(2004)
Why public schools lose teachers
G. Nie, Guoxun Wang, Peng Zhang, Ying-jie Tian, Yong Shi (2009)
Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China
E. Hanushek, J. Kain, D. O'Brien, Steven Rivkin (2005)
The Market for Teacher Quality. NBER Working Paper No. 11154.National Bureau of Economic Research
Dan Goldhaber, B. Gross, Daniel Player (2007)
Are Public Schools Really Losing Their Best? Assessing the Career Transitions of Teachers and Their Implications for the Quality of the Teacher Workforce. Working Paper 12.
Cassandra Guarino, L. Santibañez, G. Daley (2006)
Teacher Recruitment and Retention: A Review of the Recent Empirical LiteratureReview of Educational Research, 76
L. Worrall, C.L. Cooper (2006)
The quality of working life: managers’ health and well‐being
K. Dasgupta, Rahul Singh, B. Viswanathan, D. Chakraborty, Sougata Mukherjea, A. Nanavati, A. Joshi (2008)
Social ties and their relevance to churn in mobile telecom networks
O. Herrera, T. Znati (2007)
Modeling Churn in P2P Networks40th Annual Simulation Symposium (ANSS'07)
R. Murnane, R. Olsen (1989)
The Effects of Salaries and Opportunity Costs on Duration in Teaching: Evidence from MichiganThe Review of Economics and Statistics, 71
D. Mason (2010)
The University of Google: Education in the (Post) Information AgeThe Electronic Library, 28
D. Macdonald (1999)
Teacher Attrition: A Review of Literature.Teaching and Teacher Education, 15
M. Amin, Nafeez Amin (2003)
Benchmarking learning outcomes of undergraduate business educationBenchmarking: An International Journal, 10
Jorge Ferreira, M. Vellasco, M. Pacheco, C. Barbosa (2004)
Data Mining Techniques on the Evaluation of Wireless Churn
Afif Harhara, S. Singh, M. Hussain (2015)
Correlates of employee turnover intentions in oil and gas industry in the UAEInternational Journal of Organizational Analysis, 23
D.D. Goldhaber, B. Gross, D. Player (2007)
Are public schools really losing the ‘best’? Assessing the career transitions of teachers and their implications for the quality of the teacher workforce
Shivam Gupta, Sameer Kumar, S. Singh, Cyril Foropon, C. Chandra (2018)
Role of cloud ERP on the performance of an organization: Contingent resource-based view perspectiveThe International Journal of Logistics Management, 29
Kalpana Chauhan, Anandan Pillai (2013)
Role of content strategy in social media brand communities: a case of higher education institutes in IndiaJournal of Product & Brand Management, 22
Wenwei Xue, Hailong Deng (2012)
Unstructured Queries Based on Mobile User ContextInt. J. Pervasive Comput. Commun., 8
Anita Summers, B. Wolfe (1977)
Do Schools Make a DifferenceThe American Economic Review, 67
K. Coussement, D. Poel (2008)
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniquesExpert Syst. Appl., 34
Geoffrey Borman, M. Dowling (2008)
Teacher Attrition and Retention: A Meta-Analytic and Narrative Review of the ResearchReview of Educational Research, 78
S. Hung, D. Yen, Hsiu-Yu Wang (2006)
Applying data mining to telecom churn managementExpert Syst. Appl., 31
Kaifeng Jiang, Dong Liu, Patrick McKay, T. Lee, T. Mitchell (2012)
When and how is job embeddedness predictive of turnover? a meta-analytic investigation.The Journal of applied psychology, 97 5
Nada Mehrzi, S. Singh (2016)
Competing through employee engagement: a proposed frameworkInternational Journal of Productivity and Performance Management, 65
Guangying Hua, D. Haughton (2009)
Virtual worlds adoption: a research framework and empirical studyOnline Inf. Rev., 33
D. Fields, Myra Dingman, P. Roman, T. Blum (2005)
Exploring predictors of alternative job changesJournal of Occupational and Organizational Psychology, 78
C. Horn, A. Fichtner (2003)
An evaluation of state‐subsidized, firm‐based trainingInternational Journal of Manpower, 24
Karlene Cousins, D. Robey (2015)
Managing work-life boundaries with mobile technologies: An interpretive study of mobile work practicesInf. Technol. People, 28
B. Masand, Piew Datta, D. Mani, Bin Li (1999)
CHAMP: A Prototype for Automated Cellular Churn PredictionData Mining and Knowledge Discovery, 3
J. Liebowitz (2005)
Linking social network analysis with the analytic hierarchy process for knowledge mapping in organizationsJ. Knowl. Manag., 9
J. Pinho, M. Pinheiro (2015)
Social network analysis and the internationalization of SMEsEuropean Business Review, 27
Chih-Fong Tsai, Yu-Hsin Lu (2009)
Customer churn prediction by hybrid neural networksExpert Syst. Appl., 36
Yu Zhao, Bing Li, Xiu Li, Wenhuang Liu, S. Ren (2005)
Customer Churn Prediction Using Improved One-Class Support Vector Machine
Indian Journal of Science and Technology, 6
J. Prochaska, Colleen Redding, K. Evers (1996)
The transtheoretical model and stages of change.
A. Correia (2008)
The University of Google: Education in the (post) Information AgeOnline Information Review, 32
E. Boe, S. Bobbitt, L. Cook (1997)
Whither Didst Thou Go? Retention, Reassignment, Migration, and Attrition of Special and General Education Teachers from a National PerspectiveThe Journal of Special Education, 30
Hamid Khobzi, B. Teimourpour (2014)
SPECIAL ISSUE PAPERS SECTION How significant are users' opinions in social media?
E.A. Hanushek, J.F. Kain, D.M. O’Brien, S.G. Rivkin (2005)
The market for teacher quality
Xianfeng Zhang, Yang Yu, Hongxiu Li, Zhangxi Lin (2016)
Sentimental interplay between structured and unstructured user-generated contents: An empirical study on online hotel reviewsOnline Inf. Rev., 40
M. Mozer, R. Wolniewicz, David Grimes, Eric Johnson, Howard Kaushansky (2000)
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industryIEEE transactions on neural networks, 11 3
T. Brabazon (2007)
The University of Google: Education in the (Post) Information AgeCapital & Class, 33
Todd Stinebrickner (2001)
A Dynamic Model of Teacher Labor SupplyJournal of Labor Economics, 19
D. Berliner (2004)
Describing the Behavior and Documenting the Accomplishments of Expert TeachersBulletin of Science, Technology & Society, 24
J. Prochaska, S. Butterworth, Colleen Redding, V. Burden, N. Perrin, M. Leo, Marna Flaherty-Robb, J. Prochaska (2008)
Initial efficacy of MI, TTM tailoring and HRI's with multiple behaviors for employee health promotion.Preventive medicine, 46 3
Douglas Harris, Scott Adams (2007)
Understanding the Level and Causes of Teacher Turnover: A Comparison with Other Professions.Economics of Education Review, 26
E. Hanushek, J. Kain, Steven Rivkin (1998)
Teachers, Schools, and Academic AchievementNBER Working Paper Series
H. Corman (1993)
Who will teach? Policies that matter: Richard J. Murnane, Judith D. Singer, John B. Willett, James J. Kemple and Randall J. Olsen. Cambridge, MA: Harvard University Press, 1991. XII + 187 pEconomics of Education Review, 12
J. Papis (2006)
Understanding the workforce: the key to success in a youth hostel in ScotlandInternational Journal of Contemporary Hospitality Management, 18
(2009)
Analysis of relationship between job satisfaction and attitude
Shun-Hsing Chen, Ching-Chow Yang, J. Shiau, Hui‐Hua Wang (2006)
The development of an employee satisfaction model for higher educationThe Tqm Magazine, 18
Megan Tschannen-Moran, A. Hoy (2001)
Teacher efficacy: capturing an elusive constructTeaching and Teacher Education, 17
M. Podgursky, Ryan Monroe, Donald Watson (2004)
The Academic Quality of Public School Teachers: An Analysis of Entry and Exit Behavior.Economics of Education Review, 23
J. Prochaska, C. DiClemente, J. Norcross (1992)
In Search of How People Change: Applications to Addictive BehaviorsJournal of Addictions Nursing, 5
American Psychologist, 47
S. Ozturkcan, N. Kasap, M. Cevik, Tauhid Zaman (2017)
An analysis of the Gezi Park social movement tweetsAslib J. Inf. Manag., 69
Na Su, Dennis Reynolds, Bixuan Sun (2015)
How to make your Facebook posts attractive: A case study of a leading budget hotel brand fan pageInternational Journal of Contemporary Hospitality Management, 27
S. Sahney, D. Banwet, S. Karunes (2008)
An integrated framework of indices for quality management in education: a faculty perspectiveThe Tqm Journal, 20
David Efraty, M. Sirgy, C. Claiborne (1991)
The effects of personal alienation on organizational identification: A quality-of-work-life modelJournal of Business and Psychology, 6
Abdulla Al-Ali, S. Singh, Moza Al-Nahyan, A. Sohal (2017)
Change management through leadership: the mediating role of organizational cultureInternational Journal of Organizational Analysis, 25
R. Raman, V. Bharathi, Shesha Allen, Shaji Joseph (2013)
Use of Structural Equation Modeling to Empirically Study the Turnover Intentions of Information Technology Professionals in Pune CityManagement of Innovation eJournal
Ronald Ehrenberg, D. Brewer (1994)
Do school and teacher characteristics matter? Evidence from High School and BeyondEconomics of Education Review, 13
Laurie Barclay, D. Skarlicki, S. Pugh (2005)
Exploring the role of emotions in injustice perceptions and retaliation.The Journal of applied psychology, 90 4
Jia-Lang Seng, Hsiao-Fang Yang (2017)
The association between stock price volatility and financial news - a sentiment analysis approachKybernetes, 46
R. Murnane, J. Singer, J. Willett (1989)
The Influences of Salaries and "Opportunity Costs" on Teachers' Career Choices: Evidence from North CarolinaHarvard Educational Review, 59
(2015)
A study on user perception and awareness related to online privacy during online shopping
A. Wayne, Peter Youngs (2003)
Teacher Characteristics and Student Achievement Gains: A ReviewReview of Educational Research, 73
Donald Boyd, P. Grossman, H. Lankford, S. Loeb, J. Wyckoff (2008)
Who Leaves? Teacher Attrition and Student AchievementNBER Working Paper Series
A. Alhosani, S. Singh, Moza Nahyan (2017)
Role of school leadership and climate in student achievement: The mediating role of parental involvementInternational Journal of Educational Management, 31
Adeel Razaq, M. Sabir, J. Iqbal, S. Shah, Muhammad Khan (2011)
Impact of CSR, Quality of Work Life and Organizational Structure on Employee’s Performance in PakistanJournal of Social and Development Sciences, 2
W. Sanders, Sandra Horn (1994)
The tennessee value-added assessment system (TVAAS): Mixed-model methodology in educational assessmentJournal of Personnel Evaluation in Education, 8
H. Lankford, S. Loeb, J. Wyckoff (2002)
Teacher Sorting and the Plight of Urban Schools: A Descriptive AnalysisEducational Evaluation and Policy Analysis, 24
M. Hallward, C. Armstrong (2016)
Tweeting Resistance: The Evolution of Engagement FrameworksResearch in Social Movements, Conflicts and Change, 40
T. Oshagbemi (2003)
Personal correlates of job satisfaction: empirical evidence from UK universitiesInternational Journal of Social Economics, 30
유혜선 (2015)
Do Schools Make a Difference, 28
Cristian Moecke, M. Volkamer (2013)
Usable secure email communications: criteria and evaluation of existing approaches
S. Haustein, T. Bowman, K. Holmberg, Isabella Peters, V. Larivière (2014)
Astrophysicists on Twitter: An in-depth analysis of tweeting and scientific publication behaviorAslib J. Inf. Manag., 66
Jayasankar Ramanathan, K. Purani (2014)
Brand extension evaluation: real world and virtual worldJournal of Product & Brand Management, 23
Jeffrey Coons, Shing-Ling Chen (2014)
Social Network Analysis for Facebook: Locating Cliques and Visualizing Sociability, 43
J. Prochaska, C. DiClemente (1982)
Transtheoretical therapy: Toward a more integrative model of change.Psychotherapy, 19
International Journal of Educational Management, 31
J. Edwards, Darren Laar, S. Easton, G. Kinman (2009)
The Work‐related Quality of Life Scale for Higher Education EmployeesQuality in Higher Education, 15
Research questions that this paper attempts to answer are – do the features in general email communication have any significance to a teaching faculty member leaving the business school? Do the sentiments expressed in email communication have any significance to a teaching faculty member leaving the business school? Do the stages mentioned in the transtheoretical model have any relevance to the email behaviour of an individual when he or she goes through the decision process leading to the decision to quit? The purpose of this paper is to study email patterns and use predictive analytics to correlate with the real-world situation of leaving the business school.Design/methodology/approachThe email repository (2010–2017) of 126 teaching faculty members who were associated with a business school as full-time faculty members is the data set that was used for the research. Of the 126 teaching faculty members, 42 had left the business school during this time frame. Correlation analysis, word count analysis and sentiment analysis were executed using “R” programming, and sentiment “R” package was used to understand the sentiment and its association in leaving the business school. From the email repository, a rich feature set of data was extracted for correlation analysis to discover the features which had strong correlation with the faculty member leaving the business school. The research also used data-logging tools to extract aggregated statistics for word frequency counts and sentiment features.FindingsThose faculty members who decide to leave are involved more in external communication and less in internal communications. Also, those who decide to leave initiate fewer email conversations and opt to forward emails to colleagues. Correlation analysis shows that negative sentiment goes down, as faculty members leave the organisation and this is in contrary to the existing review of literature. The research also shows that the triggering point or the intention to leave is positively correlated to the downward swing of the emotional valence (positive sentiment). A number of email features have shown change in patterns which are correlated to a faculty member quitting the business school.Research limitations/implicationsFaculty members of only one business school have been considered and this is primary due to cost, privacy and complexities involved in procuring and handling the data. Also, the reasons for exhibiting the sentiments and their root cause have not been studied. Also the designation, roles and responsibilities of faculty members have not been taken into consideration.Practical implicationsBusiness schools all over India always have a challenge to recruit good faculty members who can take up research activities, teach and also shoulder administrative responsibilities. Retaining faculty members and keeping attrition levels low will help business schools to maintain the standards of excellence that they aspire. This research is immensely useful for business school, which can use email analytics in predicting the intention of the faculty members leaving their business school.Originality/valueAlthough past studies have studied attrition, this study uses predictive analytics and maps it to the intention to quit. This study helps business schools to predict the chance of faculty members leaving the business school which is of immense value, as appropriate measures can be taken to retain and restrict attrition.
Benchmarking: An International Journal – Emerald Publishing
Published: Feb 11, 2019
Keywords: Attrition; Intention to leave; Predictive analytics; Attrition in B schools; Email communication; Modelling attrition
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