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

Collaborative Development within Open Source Communities

Open source communities are one of the most successful-- and least appreciated--examples of high-performance collaboration and community building on the Internet today. Open source communities began as loosely organized, ad-hoc communities of contributors from all over the world who shared an interest in meeting a common need. However, the organization of these communities has proven to be very flexible and capable of carrying out all kind of developments, ranging from minor projects to huge programs such as Apache (Höhn, & Herr, 2004; Mockus, Fielding, & Herbsleb, 2005

The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis

Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes)

Coordinative Entities: Forms of Organizing in Data Intensive Science

Scientific collaboration is a long-standing subject of CSCW scholarship that typically focuses on the development and use of computing systems to facilitate research. The research presented in this article investigates the sociality of science by identifying and describing particular, common forms of organizing that researchers in four different scientific realms employ to conduct work in both local contexts and as part of distributed, global projects. This paper introduces five prototypical forms of organizing we categorize as coordinative entities: the Principal Group, Intermittent Exchange, Sustained Aggregation, Federation, and Facility Organization. Coordinative entities as a categorization help specify, articulate, compare, and trace overlapping and evolving arrangements scientists use to facilitate data intensive research. We use this typology to unpack complexities of data intensive scientific collaboration in four cases, showing how scientists invoke different coordinative entities across three types of research activities: data collection, processing, and analysis. Our contribution scrutinizes the sociality of scientific work to illustrate how these actors engage in relational work within and among diverse, dispersed forms of organizing across project, funding, and disciplinary boundaries

Evolving a software development methodology for commercial ICTD projects

This article discusses the evolution of a “DistRibuted Agile Methodology Addressing Technical Ictd in Commercial Settings” (DRAMATICS) that was developed in a global software corporation to support ICTD projects from initial team setup through ICT system design, development, and prototyping, to scaling up and transitioning, to sustainable commercial models. We developed the methodology using an iterative Action Research approach in a series of commercial ICTD projects over a period of more than six years. Our learning is reflected in distinctive methodology features that support the development of contextually adapted ICT systems, collaboration with local partners, involvement of end users in design, and the transition from research prototypes to scalable, long-term solutions. We offer DRAMATICS as an approach that others can appropriate and adapt to their particular project contexts. We report on the methodology evolution and provide evidence of its effectiveness in the projects where it has been used

COLLABORATIVE PORTAL MODEL FOR INTERCULTURAL TEAMS KNOWLEDGE MANAGEMENT

In the multinational organizations, more groups of individuals are being involved in the process of knowledge creation in a collaborative manner, of sharing knowledge and learning from it. These individuals can have heterogeneous cultures and they must use a common language. IT has created and is developing the infrastructure for cross-cultural communications and intercultural knowledge management. Nowadays, intercultural knowledge management can be realized with support of Collaborative Technologies and Knowledge Management Support Systems (KMSS). In this respect Collaborative Technologies and Intercultural Knowledge Management Support Systems (IKMSS) will be the appropriate way for supporting intercultural communication, learning and collaborative knowledge management in organizations. In this paper we present a conceptual model of a collaborative portal for Intercultural Team Knowledge Management as a powerful support for increasing team’s performance.: collaborative support, collaboration, knowledge management, intercultural teams, intercultural knowledge management, intercultural knowledge management portal

Happiness and the productivity of software engineers

Software companies and startups often follow the idea of flourishing happiness among developers. Perks, playground rooms, free breakfast, remote office options, sports facilities near the companies, company retreats, you name it. The rationale is that happy developers should be more productive and also retained. But is it the case that happy software engineers are more productive? Moreover, are perks the way to go to make developers happy? Are developers happy at all? What are the consequences of unhappiness among software engineers? These questions are important to ask both from the perspective of productivity and from the perspective of sustainable software development and well-being in the workplace. Managers, team leaders, as well as team members should be interested in these concerns. This chapter provides an overview of our studies on the happiness of software developers. You will learn why it is important to make software developers happy, how happy they really are, what makes them unhappy, and what is expected regarding happiness and productivity while developing software.Comment: 12 pages, 2 figures. To appear in Rethinking Productivity in Software Engineering, edited by Caitlin Sadowski and Thomas Zimmermann. arXiv admin note: text overlap with arXiv:1707.0043