Opportunities, Tools, and New Insights: Evidence on Emotions in Service from Analyses of Digital Traces Data
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Anat Rafaeli | Shelly Ashtar | Daniel Altman | Galit Bracha Yom Tov | A. Rafaeli | D. Altman | Shelly Ashtar | Galit Bracha Yom Tov
[1] L. Harlow,et al. Big data in psychology: Introduction to the special issue. , 2016, Psychological methods.
[2] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.
[3] Udo Hahn,et al. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis , 2017, EACL.
[4] R. C. Silver,et al. Tweeting negative emotion: An investigation of Twitter data in the aftermath of violence on college campuses. , 2016, Psychological methods.
[5] Ruth N. Bolton,et al. The effect of customers' emotional responses to service failures on their recovery effort evaluations and satisfaction judgments , 2002 .
[6] S. Pugh,et al. Service with a Smile: Emotional Contagion in the Service Encounter , 2001 .
[7] Shlomo Hareli,et al. Emotion cycles: On the social influence of emotion in organizations , 2008 .
[8] F. Misopoulos,et al. Uncovering customer service experiences with Twitter: the case of airline industry , 2014 .
[9] Dipankar Das,et al. A Practical Guide to Sentiment Analysis , 2017 .
[10] David Konopnicki,et al. Classifying Emotions in Customer Support Dialogues in Social Media , 2016, SIGDIAL Conference.
[11] Navneet Kaur,et al. Opinion mining and sentiment analysis , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).
[12] R. Landis,et al. Inductive reasoning: The promise of big data , 2017 .
[13] Rellie Derfler-Rozin,et al. When customers exhibit verbal aggression, employees pay cognitive costs. , 2012, The Journal of applied psychology.
[14] Anat Rafaeli,et al. Emotion Display Rules at Work in the Global Service Economy: The Special Case of the Customer , 2010 .
[15] Matthew J. Salganik,et al. Bit by bit: social research in the digital age , 2019, The Journal of mathematical sociology.
[16] Jochen Wirtz,et al. When and Why a Squeakier Wheel Gets More Grease: The Influence of Cultural Values and Anger Intensity on Customer Compensation , 2019, Journal of Service Research.
[17] Anat Rafaeli,et al. Do Customer Emotions Affect Agent Speed? An Empirical Study of Emotional Load in Online Customer Contact Centers , 2020, Manuf. Serv. Oper. Manag..
[18] Massimo Barbaro,et al. A Face Is Exposed for AOL Searcher No , 2006 .
[19] J. Pennebaker,et al. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .
[20] Anat Rafaeli,et al. Emotional contrast strategies as means of social influence: Lessons from criminal interrogators and bill collectors. , 1991 .
[21] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[22] Detelina Marinova,et al. Unstructured data in marketing , 2018, Journal of the Academy of Marketing Science.
[23] A. Rafaeli,et al. Digital Traces: New Data, Resources, and Tools for Psychological-Science Research , 2019, Current Directions in Psychological Science.
[24] Nickolas M. Jones,et al. This is not a drill: Anxiety on Twitter following the 2018 Hawaii false missile alert. , 2020, The American psychologist.
[25] R. Meijer,et al. A trial studying approach to predict college achievement , 2015, Front. Psychol..
[26] A. Manstead,et al. A contrast effect in judgments of own emotional state , 1983 .
[27] Jeff Joireman,et al. When Do Customers Offer Firms a 'Second Chance' Following a Double Deviation? The Impact of Inferred Firm Motives on Customer Revenge and Reconciliation , 2013 .
[28] Carlo Strapparava,et al. SemEval-2007 Task 14: Affective Text , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[29] The Customer Is Not Always Right , 2007 .
[30] Sheryl L. Walter,et al. A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge? , 2018, Journal of Business and Psychology.
[31] Bradley R. Staats,et al. The Impact of Time at Work and Time Off from Work on Rule Compliance: The Case of Hand Hygiene in Healthcare , 2014, The Journal of applied psychology.
[32] Peter Totterdell,et al. Eliciting mixed emotions: a meta-analysis comparing models, types, and measures , 2015, Front. Psychol..
[33] Ernst C. Osinga,et al. Big Data and Data Science Methods for Management Research , 2016 .
[34] D. Thalmann,et al. Sentiment analysis of informal textual communication in cyberspace , 2010 .
[35] G. A. Kleef,et al. The interpersonal effects of emotion intensity in customer service: Perceived appropriateness and authenticity of attendants' emotional displays shape customer trust and satisfaction , 2018 .
[36] R. I. Sutton,et al. Untangling the Relationship between Displayed Emotions and Organizational Sales: The Case of Convenience Stores , 1988 .
[37] Steven Fjalestad Espen Fichtner Bastien Hart Mike Langley. Contact centre performance : in pursuit of First Call Resolution , 2006 .
[38] Hyunju Shin,et al. The Effects of Harm Directions and Service Recovery Strategies on Customer Forgiveness and Negative Word-of-Mouth Intentions , 2015 .
[39] Alisha Horky,et al. #IHateYourBrand: adaptive service recovery strategies on Twitter , 2017 .
[40] Peter C. Verhoef,et al. Service Encounters as a Sequence of Events , 2004 .
[41] Jeffrey Nichols,et al. GOAALLL!: Using sentiment in the World Cup to explore theories of emotion , 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).
[42] Alicia A. Grandey,et al. The customer is not always right: customer aggression and emotion regulation of service employees , 2004 .
[43] A. Erez,et al. Catching rudeness is like catching a cold: The contagion effects of low-intensity negative behaviors. , 2016, The Journal of applied psychology.
[44] D. Campbell,et al. Unobtrusive Measures: Nonreactive Research in the Social Sciences , 1966 .
[45] Jiebo Luo,et al. Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media , 2018, CHI.
[46] Janyce Wiebe,et al. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2005, HLT.
[47] Christopher O. L. H. Porter,et al. The Use of Online Panel Data in Management Research: A Review and Recommendations: , 2019 .
[48] Davide Marengo,et al. Sharing feelings online: studying emotional well-being via automated text analysis of Facebook posts , 2015, Front. Psychol..
[49] Anat Rafaeli,et al. The Impact of Call Center Employees' Customer Orientation Behaviors on Service Quality , 2008 .
[50] Bradley R. Staats,et al. Motivating Process Compliance through Individual Electronic Monitoring: An Empirical Examination of Hand Hygiene in Healthcare , 2015, Manag. Sci..
[51] Monika Westphal,et al. Customer Sentiment in Web-Based Service Interactions: Automated Analyses and New Insights , 2018, WWW.
[52] Nan Zhang,et al. Validity Concerns in Research Using Organic Data , 2020, Journal of Management.
[53] Stephen S. Tax,et al. Recovering and Learning from Service Failure , 1998 .
[54] H. Weiss,et al. Affective Events Theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. , 1996 .
[55] Alicia A. Grandey,et al. Display rules versus display autonomy: emotion regulation, emotional exhaustion, and task performance in a call center simulation. , 2007, Journal of occupational health psychology.
[56] F. Reichheld. The one number you need to grow. , 2003, Harvard business review.
[57] Lada A. Adamic,et al. Computational Social Science , 2009, Science.
[58] Allison S. Gabriel,et al. Emotional Labor Dynamics: A Momentary Approach , 2015 .