Beyond public punitiveness: The role of emotions in criminal law policy
فراتر از مجازات عمومی: نقش عواطف در سیاست کیفری-2019
The article examines the existing and potential role of emotions in the criminal law-making and criminal policy. It aims to inspect which emotions, if any, are more acceptable for influencing criminal policy and to what extent emotions could legitimately intervene in criminalisation processes. It first analyses the ways in which emotion has already penetrated into the criminal law, criminal justice and criminalisation. Next, it inspects the various characteristics of emotions, specifically those that are central in distinguishing between good and bad candidates for influencing criminal law policy, demonstrating that certain negative, highly intense, irrational and unstable or short-lived emotions can make bad law, as do atypical cases. The article then sketches a theoretical framework, composed of the requirements that should be fulfilled before any emotion could justifiably influence criminal law-making and of the further limits to such an enterprise. It concludes with recommendations and some thoughts on further research.
Keywords: Emotion | Criminalisation | Criminal law policy | Public sentiment | Legitimacy | Justice
ReviewModus: Text classification and sentiment prediction of unstructured reviews using a hybrid combination of machine learning and evaluation models
ReviewModus: طبقه بندی متن و پیش بینی احساسات بررسی های بدون ساختار با استفاده از ترکیب هیبریدی از مدل های یادگیری و ارزیابی ماشین-2019
While research interest on product and service evaluation from unstructured text reviews is increasing, investigating the effectiveness of predictive analytical models in this context is still under-explored. With the advancement in machine learning research, an opportu- nity exists to bridge this gap using a model-based product and service evaluation. We pro- pose in this article ReviewModus , a text mining and processing framework that (1) relies on the model structure and its corresponding assessment questions to train a machine learning algorithm to predict the classification of reviews around the model dimensions; (2) predicts the sentiments within the reviews based on external review training datasets; and (3) transforms the extracted measures from the reviews for further analysis. Our ap- proach is evaluated in the context of 11 e-government services where the performance of the framework is compared to the manual processing of unstructured reviews cross- checked by three independent evaluators. Our study shows promising classification results with a micro-average F-score reaching 85.16%, and a high sentiment prediction correlation (71.44%) with the manually performed sentiment assessment.
Keywords: Machine learning | Text mining | Neural network | Logistic regression | e-government
Foreign booms, domestic busts: The global dimension of banking crises
رونق خارجی ، شکاف داخلی: بعد جهانی بحران های بانکی-2019
This paper provides novel empirical evidence showing that foreign financial developments are a powerful predictor of domestic banking crises. Using a new data set for 38 advanced and emerging economies over 1970–2011, we show that credit growth in the rest of the world has a large positive effect on the probability of banking crises taking place at home, even when controlling for domestic credit growth. Our results suggest that this effect is larger for financially open economies, and is consistent with transmission via cross-border capital flows and market sentiment. Direct contagion from foreign crises plays an important role, but does not account for the whole effect
Keywords: Financial crises | Global credit cycle | Banking | Financial stability | Sentiment
Surviving the emotional roller coaster called entrepreneurship: The role of emotion regulation
زنده ماندن از غلتک عاطفی به نام کارآفرینی: نقش تنظیم احساسات-2019
The entrepreneurial journey is often experienced as an emotional rollercoaster, but we know very little about how entrepreneurs can ride it most effectively to increase their ventures chances of survival. We investigate how entrepreneurs habitual use of cognitive reappraisal and expressive suppression – two well-established types of emotion regulation – impact on the likelihood of their venture surviving. Drawing on a sample of 183 technology ventures, we find that both regulation types are generally associated with a lower survival likelihood, but that these effects depend on the ventures performance. Our study contributes to the literatures on emotions and new venture survival in entrepreneurship and to the emotion regulation literature.
Keywords: New venture | Survival | Emotion regulation | Founder
How gender and emotions bias the credit decision-making in banking firms
چگونگی جنسیت و احساسات تعصب در تصمیم گیری اعتباری در شرکت های بانکی-2019
This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.
Keywords: Emotion | Gender | Credit decision | Bayesian Net Work | Organizational architecture | Control | Delegation
تحلیل احساسات مبتنی بر یادگیری عمیق در متن رومی اردو
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 9
آنالیز احساسات با توجه به رویکرد همه جانبه در آنالیز احساسات کاربران شبکه های اجتماعی مختلف، انجمن ها، سایت های بازاریابی الکترونیکی و وبلاگ ها، اهمیت زیادی دارد. داده های مربوط به احساسات در وب اهمیت زیادی دارد و بر مشتریان، خوانندگان و شرکت های تجاری تأثیر می گذارد. شبکه عصبی مکرر به طور گسترده ای در انجام وظایف پردازش زبان طبیعی مورد استفاده قرار گرفته است، زیرا برای مدل سازی داده های متوالی به صورت موثر طراحی شده است.
در این مقاله از مدل عصبی عمیق حافظه کوتاه-طولانی مدت (LSTM) استفاده شده است. توانایی فوق العاده ای در ضبط اطلاعات دور برد و حل مشکل کاهش گرادیان و همچنین ارائه اطلاعات متنی آتی، معناشناسی توالی لغات با شکوه دارد. این مقاله پایه و اساس تطبیق روش های یادگیری عمیق در آنالیز رومن اردو است. نتایج تجربی نشان داد که مدل ما دقت قابل توجهی دارد و دقت بیشتری از روش های یادگیری ماشین دارد.
کليدواژه: شبکه عصبی مکرر (RNN)| حافظه کوتاه-بلند مدت (LSTM) | آنالیز معنایی رومن اردو | تعبیه لغت
|مقاله ترجمه شده|
Effect of disruptive customer behaviors on others overall service experience: An appraisal theory perspective
تاثیر سفارشات رفتارهای درهم گسیخته مشتری روی تجربه کلی خدماتی سایرین: یک دیدگاه نظریه ارزیابی-2018
Drawing upon the appraisal theory, this study proposes and tests a conceptual model to delineate customers’ evaluative process of disruptive customer behaviors in a shared service environment (e.g., theme parks, airplanes, restaurants). Using a scenario-based online experiment, two sets of data were collected from U.S. customers and analyzed by a series of regression analyses. Findings suggest that customers go through a systematic evaluative process of primary appraisal (e.g., congruence and relevance) and secondary appraisal (e.g., cognitions and emotions), which results in the development of coping behaviors (e.g., active and passive coping). Cognitions are found to have direct influences on passive and active coping. Perceived powerlessness, perceived betrayal, and perceived identity threat are identified as critical cognitions. Negative emotions are found to result in active coping. Primary appraisal (e.g., congruence and relevance) either directly affects coping behaviors, or indirectly through cognitions and negative emotions. Theoretical and managerial implications are further elaborated.
keywords: Customer misbehavior| Disruptive customers| Appraisal theory| Perceived powerlessness| Perceived betrayal| Negative emotions
Message framing and regulatory focus effects on destination image formation
چارچوب گذاری پیام و تاثیرات تمرکز نظم روی شکل گیری وجهه مقصد-2018
This study examines the influence of message framing and how a match or mismatch between message framing and individuals’ regulatory focus can influence their destination image perceptions and visit intentions utilizing attribute framing and regulatory focus fit theories. This study also examines the mediating role of cognitive fluency and emotional state on attribute framing effects on destination image formation and visit intentions. Findings indicate that framing of marketing messages exerts significant influences on consumers decision making and destination selection process. Consumers under gain-framed message condition tend to have higher destination image perceptions compared to those under loss-framed message conditions. A match between attribute framing and regulatory focus results in formation of better destination image perceptions compared to mismatch. Furthermore, cognitive fluency and emotional state mediate attribute framing effects on destination image formation.
keywords: Attribute framing| Regulatory fit| Destination image| Cognitive fluency| Emotional state
Exploring agape: Tourists on the island of love
بررسی مبهوت: گردشگران روی جزیره عشق-2018
This study explored the extent to which tourists take part in a distinct type of love, agape, which is described as sincere and not selfseeking. Findings from 80 semi-structured interviews in Cyprus reveal that tourists acknowledge the constructive effects of love in general, at a personal and societal level, despite no consensus being reached on the interpretation of the term. Even so, love seems not to be solely the outcome of human transactions. It is also determined by the cultivation of a caring culture towards the facilitative and natural setting in which social dealings take place. Although responses betray the conveyance of offerings that are in line with agapes dogmata, one might argue whether what tourists experience, is agape in its essence. Nonetheless, managerial implications are discussed.
keywords: Emotions |Love |Agape |Tourist experience |Cyprus
The impact of conventional and unconventional monetary policy on expectations and sentiment
تاثیر سیاست پولی عادی و غیر عادی بر انتظارات و احساسات-2018
This paper offers evidence on the effect of ECBs conventional and unconventional monetary policy on economic expectations in Euro-area countries during the US and EU crisis. We employ a range of research methodologies in a sample of nine Eurozone countries and combine expectations/sentiment indicators with a set of macroeconomic and financial variables. We find that ECBs conventional monetary policy (and Feds monetary policy stance) has a positive and significant effect on economic expectations for Core Eurozone countries and a weak effect on Peripheral Eurozone countries. ECBs unconventional policy measures, however, have a negative short term effect on Core countries’ economic expectations. This result is robust to different methodologies (PVAR, QVAR, FAVAR) and different datasets. Overall, our findings highlight the importance of monetary policy in the determination of economic expectations
keywords: Unconventional monetary policy| Sentiment| Economic expectations