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Abstract

Persona is a common human-computer interaction technique for increasing stakeholders’ understanding of audiences, customers, or users. Applied in many domains, such as e-commerce, health, marketing, software development, and system design, personas have remained relatively unchanged for several decades. However, with the increasing popularity of digital user data and data science algorithms, there are new opportunities to progressively shift personas from general representations of user segments to precise interactive tools for decision-making. In this vision, the persona profile functions as an interface to a fully functional analytics system. With this research, we conceptually investigate how data-driven personas can be leveraged as analytics tools for understanding users. We present a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes. We apply this framework for an analysis of digital marketing use cases to demonstrate how data-driven personas can be leveraged in practical situations. We then present a functional overview of an actual data-driven persona system that relies on the concept of data aggregation in which the fundamental question defines the unit of analysis for decision-making. The system provides several functionalities for stakeholders within organizations to address this question.

Abstract

With the rapid growth of the smartphone and tablet market, mobile application (App) industry that provides a variety of functional devices is also growing at a striking speed. Product life cycle (PLC) theory, which has a long history, has been applied to a great number of industries and products and is widely used in the management domain. In this study, we apply classical PLC theory to mobile Apps on Apple smartphone and tablet devices (Apple App Store). Instead of trying to utilize often-unavailable sales or download volume data, we use open-access App daily download rankings as an indicator to characterize the normalized dynamic market popularity of an App. We also use this ranking information to generate an App life cycle model. By using this model, we compare paid and free Apps from 20 different categories. Our results show that Apps across various categories have different kinds of life cycles and exhibit various unique and unpredictable characteristics. Furthermore, as large-scale heterogeneous data (e.g., user App ratings, App hardware/software requirements, or App version updates) become available and are attached to each target App, an important contribution of this paper is that we perform in-depth studies to explore how such data correlate and affect the App life cycle. Using different regression techniques (i.e., logistic, ordinary least squares, and partial least squares), we built different models to investigate these relationships. The results indicate that some explicit and latent independent variables are more important than others for the characterization of App life cycle. In addition, we find that life cycle analysis for different App categories requires different tailored regression models, confirming that inner-category App life cycles are more predictable and comparable than App life cycles across different categories.

Abstract

Natural language processing (NLP) covers a large number of topics and tasks related to data and information management, leading to a complex and challenging teaching process. Meanwhile, problem-based learning is a teaching technique specifically designed to motivate students to learn efficiently, work collaboratively, and communicate effectively. With this aim, we developed a problem-based learning course for both undergraduate and graduate students to teach NLP. We provided student teams with big data sets, basic guidelines, cloud computing resources, and other aids to help different teams in summarizing two types of big collections: Web pages related to events, and electronic theses and dissertations (ETDs). Student teams then deployed different libraries, tools, methods, and algorithms to solve the task of big data text summarization. Summarization is an ideal problem to address learning NLP since it involves all levels of linguistics, as well as many of the tools and techniques used by NLP practitioners. The evaluation results showed that all teams generated coherent and readable summaries. Many summaries were of high quality and accurately described their corresponding events or ETD chapters, and the teams produced them along with NLP pipelines in a single semester. Further, both undergraduate and graduate students gave statistically significant positive feedback, relative to other courses in the Department of Computer Science. Accordingly, we encourage educators in the data and information management field to use our approach or similar methods in their teaching and hope that other researchers will also use our data sets and synergistic solutions to approach the new and challenging tasks we addressed.

Abstract

In the fight management, the military commander, who is assimilated to a leader has, most of the time, the most important role. Today, in addition to the traditional missions to defend the sovereignty, independence and territorial integrity of the state, the military forces also carry out missions according to the obligations assumed by NATO or EU membership: peacekeeping, peace enforcement, humanitarianism, post conflict reconstruction, terrorism, security and collective defense. These missions require the adoption of modern forms and methods of leadership, especially as they are largely executed outside the national territory, which provokes new cultural expectations and demands, involves ethical issues and legal advice whose value is not fully known.

Abstract

The article discusses the network-centric warfare, presenting it as a new concept designed for fighting future wars and all types of conflicts with a predominance of technology as opposed to the traditional personnel, logistics and tactics elements matrix. It is, indeed, worthy of further investigation, research and development, and testing because its technical potential is very promising and novel. The basic premise of this type of warfare is, in our opinion, that it is a totally new and evolved way of conducting a vast area of military operations and that the practices of the past are somewhat irrelevant and inefficient. Network-Centric Warfare concept represents the third generation of combat development and therefore, the future of warfare in general. The actual combat platform itself represents the first generation; the linking and automation of the individual platforms into a command and control (C2) system constitutes the second generation; the third, network-centric warfare, is catalogued as a system of systems dynamically connected with distributed and dynamic information processing.

Abstract

In the current context, martial arts continue to evolve and constantly develop, capturing the attention and the interest of the population of the entire world, the branch of these being diversified, offering individuals the possibility to be practiced, even by those with physical or mental disabilities. Nowadays, the large categories of armed forces of the world use martial arts as part of general physical training, with the purpose of self-defence against the enemy, discipline, improved physical and mental condition, improvement of the ability of the military to adapt to harsh conditions, as well as fighting without using weapons.

Abstract

The risks of radioactive water contamination are high today and divers can make a decisive contribution to removing these risks. The equipment used and the diving procedures are specific. The specialists of the Research Laboratory, in collaboration with those of the Hyperbaric Laboratory of the Diving Center from Constanta, have contributed to the development of this equipment and the diving procedures in the radioactive contaminated environment.

Abstract

Today’s society is heavily dependent on fossil energy resources and especially on oil, which is the basis of the entire transport system and beyond. The need for energy resources will increase with the passage of time, in the context in which the population of the world grows, and the fulfillment of its basic needs implies an increasing consumption of energy. The fossil energy resources are in finite quantity, and their depletion is a matter of time, even if the moment when they will disappear is quite remote, due to the discovery of new deposits, the improvement of extraction technologies, etc. The depletion of fossil energy resources can be a major challenge for all states that will have to take measures for a smooth transition to the use of new energy sources that are supposed to cover the needs of society and at the same time to have a small impact on the environment, in an attempt to reduce the pace of climate change.