Breaking the News: First Impressions Matter on Online News

A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are changing the way news are being produced and exposed by media corporations. News websites have to create effective strategies to catch people's attention and attract their clicks. In this paper we investigate possible strategies used by online news corporations in the design of their news headlines. We analyze the content of 69,907 headlines produced by four major global media corporations during a minimum of eight consecutive months in 2014. In order to discover strategies that could be used to attract clicks, we extracted features from the text of the news headlines related to the sentiment polarity of the headline. We discovered that the sentiment of the headline is strongly related to the popularity of the news and also with the dynamics of the posted comments on that particular news.Comment: The paper appears in ICWSM 201

Are black friday deals worth it? Mining twitter users' sentiment and behavior response

The Black Friday event has become a global opportunity for marketing and companies’ strategies aimed at increasing sales. The present study aims to understand consumer behavior through the analysis of user-generated content (UGC) on social media with respect to the Black Friday 2018 offers published by the 23 largest technology companies in Spain. To this end, we analyzed Twitter-based UGC about companies’ offers using a three-step data text mining process. First, a Latent Dirichlet Allocation Model (LDA) was used to divide the sample into topics related to Black Friday. In the next step, sentiment analysis (SA) using Python was carried out to determine the feelings towards the identified topics and offers published by the companies on Twitter. Thirdly and finally, a data-text mining process called textual analysis (TA) was performed to identify insights that could help companies to improve their promotion and marketing strategies as well as to better understand the customer behavior on social media. The results show that consumers had positive perceptions of such topics as exclusive promotions (EP) and smartphones (SM); by contrast, topics such as fraud (FA), insults and noise (IN), and customer support (CS) were negatively perceived by customers. Based on these results, we offer guidelines to practitioners to improve their social media communication. Our results also have theoretical implications that can promote further research in this area

The affective extension of ‘Family’ in the context of changing elite business networks

Drawing on 49 oral-history interviews with Scottish family business owner-managers, six key-informant interviews, and secondary sources, this interdisciplinary study analyses the decline of kinship-based connections and the emergence of new kinds of elite networks around the 1980s. As the socioeconomic context changed rapidly during this time, cooperation built primarily around literal family ties could not survive unaltered. Instead of finding unity through bio-legal family connections, elite networks now came to redefine their ‘family businesses’ in terms of affectively loaded ‘family values’ such as loyalty, care, commitment, and even ‘love’. Consciously nurturing ‘as-if-family’ emotional and ethical connections arose as a psychologically effective way to bring together network members who did not necessarily share pre-existing connections of bio-legal kinship. The social-psychological processes involved in this extension of the ‘family’ can be understood using theories of the moral sentiments first developed in the Scottish Enlightenment. These theories suggest that, when the context is amenable, family-like emotional bonds can be extended via sympathy to those to whom one is not literally related. As a result of this ‘progress of sentiments’, one now earns his/her place in a Scottish family business, not by inheriting or marrying into it, but by performing family-like behaviours motivated by shared ethics and affects

Дослідження системи операційного менеджменту організації, на прикладі Apple Computer, Inc

The object of investigation is the process of managing of operating activities of Apple, Inc. The aim of the work is to formulate theoretical approaches and to develop practical recommendations on directions of improvement of operating management at the organization. Research methods cover methods of analysis, synthesis, comparison, detailing, system approach. This master’s research paper analyzes the operational management of Apple, Inc. and provides recommendations for it’s improvement. In particular, the main directions of solving the problems of operational management of the company have been outlined, the proposals on improvement of expansion distribution network and organization of innovative activity of the Apple Inc. have been made.Об'єкт дослідження ‒ процес управління операційною діяльністю компанії Apple, Inc. Мета дослідження - формування теоретичних підходів та розробка практичних рекомендацій щодо напрямів вдосконалення системи операційного менеджменту компанії Apple, Inc. Методи дослідження: методи аналізу, синтезу, порівняння, деталізації, системний підхід. У роботі проведено аналіз операційного менеджменту Apple, Inc., а також викладені рекомендації щодо його вдосконалення. Зокрема, окреслено основні напрями вирішення проблем операційного менеджменту компанії, внесено пропозиції щодо розширення дистриб’юторської мережі, а також вдосконалення організації інноваційної діяльності Apple Inc.Introduction 6 CHAPTER 1 THE THEORETICAL FRAMEWORK OF OPERATIONAL MANAGEMENT 8 1.1 Meanings and definition of operational management 8 1.2 Principles and methods of operations management 12 1.3 Factors affecting the Operations activity of Apple Inc. company 21 CHAPTER 2 RESEARCH AND ANALYSIS 31 2.1 Сompany introduction 31 2.2 SWOT - analysis of Apple Inc. Company 46 2.3 Analysis of operation management at Apple Inc 50 CHAPTER 3 RECOMMENDATIONS FOR IMPROVING OF OPERATIONAL MANAGEMENT AT THE APPLE INC 63 3.1 The main directions of solving operational management problems of the company 63 3.2 Recommendations concerning improvements of Distribution in the organization 65 3.3 Recommendations concerning improvements of innovative activity at the organization 67 CHAPTER 4 SPECIAL PART 73 4.1 Current trends in the field 73 4.2 Company policy in the market 75 CHAPTER 5 RATIONALE FOR RECOMMENDATIONS 77 5.1 Statement for recommendations at Company 77 CHAPTER 6 OCCUPATIONAL HEALTH AND SAFETY AT THE ENTERPRISE 79 6.1 The aim of occupational health 79 6.2 Organization of occupational health and safety at the enterprise 86 CHAPTER 7 ENVIRONMENTAL ISSUES 92 7.1 Environmental issues in the field 92 7.2 Еnvironmental factors 94 Conclusions 96 References 98 Appendices 10

Opinion mining and sentiment analysis in marketing communications: a science mapping analysis in Web of Science (1998–2018)

Opinion mining and sentiment analysis has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications (MarCom). Within this context, opinion mining and sentiment analysis in marketing communications (OMSAMC) has a strong role in the development of the field by allowing us to understand whether people are satisfied or dissatisfied with our service or product in order to subsequently analyze the strengths and weaknesses of those consumer experiences. To the best of our knowledge, there is no science mapping analysis covering the research about opinion mining and sentiment analysis in the MarCom ecosystem. In this study, we perform a science mapping analysis on the OMSAMC research, in order to provide an overview of the scientific work during the last two decades in this interdisciplinary area and to show trends that could be the basis for future developments in the field. This study was carried out using VOSviewer, CitNetExplorer and InCites based on results from Web of Science (WoS). The results of this analysis show the evolution of the field, by highlighting the most notable authors, institutions, keywords, publications, countries, categories and journals.The research was funded by Programa Operativo FEDER Andalucía 2014‐2020, grant number “La reputación de las organizaciones en una sociedad digital. Elaboración de una Plataforma Inteligente para la Localización, Identificación y Clasificación de Influenciadores en los Medios Sociales Digitales (UMA18‐ FEDERJA‐148)” and The APC was funded by the same research gran