Search results for " Mark"
showing 10 items of 4118 documents
Interplays Between Corporate Reputation And Media – A Bibliometric Analysis
2020
Abstract As strategic asset – determinant of sustained competitiveness – corporate/firm reputation has a very distinctive feature that sets it apart: although reflection of (better, worse or not at all performed) reputation management at a company’s level, it is rather a “representation” / “perception” – built on a business’s previous behaviors, but more precisely on the ways its different stakeholders have interacted (acknowledged, internalized, resonated) with them – in a (sometimes unconscious) process highly mediated and moderated by the media. Thus, the current study aims to explore the interplays between corporate/firm reputation and media as they are reflected in the scientific liter…
Social entrepreneurship and Economy for the Common Good: Study of their relationship through a bibliometric analysis
2019
Being social entrepreneurship (SE) the closest to Economy for the Common Good (ECG) principles, our work proposes to analyze the contribution of ECG model to SE. It is also intended to establish the relationship that exists between both concepts. Therefore, our specific objectives are to (1) identify the specific contributions of ECG principles to SE as well as their overlaps, (2) perform a literature review to analyze and quantify the number of research papers on SE and ECG, and (3) identify the possible existing gap. Through a double methodology, we (1) determine the potential contributions of the ECG model to SE, we propose to analyze the Common Good (CG) matrix and (2) empirical analys…
The Rise of Social Media in Sport: A Bibliometric Analysis
2020
Social media has revolutionized the sports industry by changing the way athletes, coaches, clubs, federations, sport companies and other industry actors interact. Although academic interest in the emergence of social media in the context of sports has increased in recent years, these platforms have not been studied from a bibliometric viewpoint. Therefore, this study examined the scientific production of social media in sports using descriptive bibliometric software. The most prolific authors, journals, institutions, number of citations and networks of authorship are identified. From the bibliometric analysis, implications for sport managers and future research directions for social media …
Corruption in international business: A review and research agenda
2020
Abstract We systematically reviewed the literature on corruption in international business (137 articles) for the last 17 years between 1992 and 2019. Additionally, we identified seven research streams in this growing literature: (1) the legislation against corruption, (2) the determinants of corruption, (3) combating corruption, 4) the effect of corruption on firms, (5) the political environment and corruption, (6) corruption as a challenge to existing theories of management, and (7) the effect of corruption on foreign direct investment and trade. Based on this review, we recommend that strong international laws are needed to minimize the negative impact of corruption on international busi…
Choosing Optimal Seed Nodes in Competitive Contagion.
2019
International audience; In recent years there has been a growing interest in simulating competitive markets to find out the efficient ways to advertise a product or spread an ideology. Along this line, we consider a binary competitive contagion process where two infections, A and B, interact with each other and diffuse simultaneously in a network. We investigate which is the best centrality measure to find out the seed nodes a company should adopt in the presence of rivals so that it can maximize its influence. These nodes can be used as the initial spreaders or advertisers by firms when two firms compete with each other. Each node is assigned a price tag to become an initial advertiser whi…
Massadatan hyödyntämisen menestystekijät ja haasteet digitaalisessa markkinoinnissa
2017
Tämä kandidaatintutkielma tutkii menestystekijöitä massadatan hyödyntämisessä digitaalisen markkinoinnin tarkoituksiin. Yleisesti aihepiiriä on aiemmin tutkittu lähinnä koko liiketoiminnan näkökulmasta. Tutkielma pyrkii selvittämään näkökulmia aihepiiriin juuri markkinoinnin kannalta, sillä markkinoinnin näkökulmasta aihetta ei ole tutkittu kovin laajasti. Tutkielma on toteutettu kirjallisuuskatsauksena. Suurin osa lähdeaineistosta on viime vuosilta, ja varsinkin markkinoinnin näkökulmasta tehty massadatan hyödyntämisen tutkimus on tuoretta. Lähdeaineisto koostuu pääasiassa vertaisarvioiduista tieteellisistä artikkeleista. Myös kaupallisia lähteitä on käytetty suhteellisen paljon, sillä tut…
Mining customer requirements from online reviews: A product improvement perspective
2016
We propose a filtering model to predict helpfulness of reviews for product design.We provide a way to use the KANO model based on online reviews.We explore how to obtain insights from Big Data through knowledge-based view. Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time insights from big data to drive smarter and more profitable business decisions is a main task of big data commerce. Using online reviews as an example, manufacturers have come to value how to select helpful online reviews and what can be learned from online reviews for new product development. In this research, we first proposed an automatic filtering model to predict the help…
Textual data compression in computational biology: Algorithmic techniques
2012
Abstract In a recent review [R. Giancarlo, D. Scaturro, F. Utro, Textual data compression in computational biology: a synopsis, Bioinformatics 25 (2009) 1575–1586] the first systematic organization and presentation of the impact of textual data compression for the analysis of biological data has been given. Its main focus was on a systematic presentation of the key areas of bioinformatics and computational biology where compression has been used together with a technical presentation of how well-known notions from information theory have been adapted to successfully work on biological data. Rather surprisingly, the use of data compression is pervasive in computational biology. Starting from…
2D ECG Image Based Biometric Identification Using Stacked Autoencoders
2021
The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline interference, baseline wander and muscle artifacts. To deal with these issues, deep learning approaches have been proposed to extract automatically the important features almost from original data without any preprocessing step (i.e., The original ECG signal mostly contains noise). Unlike conventional ECG based biometric approaches, which based either on fiducial and non-fiducial methods, the proposed approach can be implemented on end to end syste…
Assessing autophagy in archived tissue or how to capture autophagic flux from a tissue snapshot
2020
This article belongs to the Special Issue Autophagy in Cancer.