Fashion in Actions on Social Media – Spanish SME Fashion Brands Case Studies

Fashion is one of the most vibrant sectors in Europe and important contributors to the European Union (EU) economy. In particular, Small and Medium Enterprises (SMEs) play a major part in European fashion industry (EU 2012). Just like fashion, where people¿s style has inherently meant to be shared as it is foremost a representation of one¿s self-image, social media allow the reflection of ones' personality and emotions. Although fashion practitioners have embraced social media in their marketing activities, it is still relatively few known at an academic level about the specificities of fashion industry when approaching social media marketing (SMM) strategies. This study sets out to explore fashion companies' SMM strategy and its activities. From an exploratory approach, we present case studies of two Spanish SME fashion companies, anonymously named hereafter as Company A and Company B, to deepen our understanding on how fashion brands implement their SMM strategy. Company A offers high-end fashion products while Company B produces medium fashion products. We analyzed the case studies using qualitative (interviews to companies' executives) and a mix of qualitative and quantitative (content analysis of companies' social media platform) methods. Public posts data of both companies' Facebook brand pages were used to perform the content analysis. Our findings through case studies of the two companies reveal that branding-oriented strategic objectives are the main drivers of their SMM implementations. There are significant differences between both companies. The main strategic action employed by Company A is engaging customers to participate into brand's offline social gathering events by inviting them through social media platform, while Company B focuses its effort on posting product promotion related contents and engaging influencers such as fashion bloggers. Our results are expected to serve as a basis of further investigations on how SMM strategy and strategic actions implemented by fashion brands may influence marketing outcomes.

BEHIND THE COMPUTER SCREEN: WHAT IRB PROFESSIONALS REALLY THINK ABOUT SOCIAL MEDIA RESEARCH

Thesis (Master's)--University of Washington, 2016-06

Corporate Social Media: How Two-Way Disclosure Channels Influence Investors

Thesis (Ph.D.)--University of Washington, 2016-06

Revolution in sales:The impact of social media and related technology on the selling environment

Over the years several articles have tracked the impact of technology on various aspects of the sales domain. However, the advent of social media and technologies related to social media has gone largely unnoticed in the literature. This article first provides brief attention to changing aspects of technology within the sales environment, leading to the identification of social media as a dominant new selling tool. A qualitative approach (focus groups) is employed to explore the breadth of current technology usage by sales managers and salespeople. Analysis of the data, collected in the United States and the United Kingdom, reveals six major themes: connectivity, relationships, selling tools, generational, global, and sales/marketing interface. Results provide evidence of a revolution in the buyer-seller relationship that includes some unanticipated consequences both for sales organization performance and needed future research contributions.

Incorporating social role theory into topic models for social media content analysis

In this paper, we explore the idea of social role theory (SRT) and propose a novel regularized topic model which incorporates SRT into the generative process of social media content. We assume that a user can play multiple social roles, and each social role serves to fulfil different duties and is associated with a role-driven distribution over latent topics. In particular, we focus on social roles corresponding to the most common social activities on social networks. Our model is instantiated on microblogs, i.e., Twitter and community question-answering (cQA), i.e., Yahoo! Answers, where social roles on Twitter include "originators" and "propagators", and roles on cQA are "askers" and "answerers". Both explicit and implicit interactions between users are taken into account and modeled as regularization factors. To evaluate the performance of our proposed method, we have conducted extensive experiments on two Twitter datasets and two cQA datasets. Furthermore, we also consider multi-role modeling for scientific papers where an author's research expertise area is considered as a social role. A novel application of detecting users' research interests through topical keyword labeling based on the results of our multi-role model has been presented. The evaluation results have shown the feasibility and effectiveness of our model.

Harnessing linked knowledge sources for topic classification in social media

Topic classification (TC) of short text messages offers an effective and fast way to reveal events happening around the world ranging from those related to Disaster (e.g. Sandy hurricane) to those related to Violence (e.g. Egypt revolution). Previous approaches to TC have mostly focused on exploiting individual knowledge sources (KS) (e.g. DBpedia or Freebase) without considering the graph structures that surround concepts present in KSs when detecting the topics of Tweets. In this paper we introduce a novel approach for harnessing such graph structures from multiple linked KSs, by: (i) building a conceptual representation of the KSs, (ii) leveraging contextual information about concepts by exploiting semantic concept graphs, and (iii) providing a principled way for the combination of KSs. Experiments evaluating our TC classifier in the context of Violence detection (VD) and Emergency Responses (ER) show promising results that significantly outperform various baseline models including an approach using a single KS without linked data and an approach using only Tweets. Copyright 2013 ACM.

Connecting social media to e-commerce:cold-start product recommendation using microblogging information

In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in 'cold-start' situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e-commerce website JingDong have shown the effectiveness of our proposed framework.

Revealing Cultural Ecosystem Services through Instagram Images : The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance

With the prevalence of smartphones, new ways of engaging citizens and stakeholders in urban planning and govern-ance are emerging. The technologies in smartphones allow citizens to act as sensors of their environment, producing and sharing rich spatial data useful for new types of collaborative governance set-ups. Data derived from Volunteered Geographic Information (VGI) can support accessible, transparent, democratic, inclusive, and locally-based governance situations of interest to planners, citizens, politicians, and scientists. However, there are still uncertainties about how to actually conduct this in practice. This study explores how social media VGI can be used to document spatial tendencies regarding citizens’ uses and perceptions of urban nature with relevance for urban green space governance. Via the hashtag #sharingcph, created by the City of Copenhagen in 2014, VGI data consisting of geo-referenced images were collected from Instagram, categorised according to their content and analysed according to their spatial distribution patterns. The results show specific spatial distributions of the images and main hotspots. Many possibilities and much potential of using VGI for generating, sharing, visualising and communicating knowledge about citizens’ spatial uses and preferences exist, but as a tool to support scientific and democratic interaction, VGI data is challenged by practical, technical and ethical concerns. More research is needed in order to better understand the usefulness and application of this rich data source to governance.

Pinning Down Identity in Social Media: Food Cultural Transfer on Pinterest

This research has been conducted within the realm of where today’s digital media society and the timeless concept of cultural identity overlap. The aim of this thesis is to explore the nature of online cultural identity management. By focusing on the social media platform, Pinterest, this study considers the food-pinning behavior of a group of Americans living in Finland and connects their online actions with their cultural identity. Through an examination of Pinterest as a social space, and even a third place, the relative theoretical literature provides and interesting background for a contemporary discussion on the matter. Literature on food as a cultural marker is also brought into consideration. Using the methods of introspection and an adapted version of virtual ethnography, a study was conducted, and ultimately, the analysis of data obtained from the Pinterest boards of ten individuals shows that the vast majority of food-related information in this setting is US-sourced. A questionnaire provides further insight into the individuals’ Pinterest usage. I argue that pinning is an act of online identity management, whether it is a conscious act or a situational effect, and that using Pinterest maintains and even strengthens these individuals’ cultural identity as Americans. This study adds to current discussions pertaining to transnationalism, globalization, and online cultural identity, as well as opens channels for further research on this dynamic topic, which is needed to understand ourselves as cultural beings in the digital age.

Sports sponsorship as a channel for brand engagement on social media

The purpose of this Mater’s Thesis was to examine how sports sponsorship can be used as a channel for brand engagement on social media. All these three concepts have been researched previously, however, up until now they have been studied separately. Therefore, the aim was also to investigate the interrelations between these three concepts, as there is a lack of academic base on the matter. The theory of the research was based on existing academic researches of social media, brand engagement and sports sponsorship. The empirical part of the research was conducted by utilizing quantitative research method. An online questionnaire was published on Facebook pages of two Liiga ice hockey teams. In the end the total sample consisted of 322 viable respondents. The collected data was analyzed by using statistical analysis software, SPSS. The findings of the empirical research reveal that information, enjoyment, personal identity, social interaction and compensation motivate consumers to engage with brands on social media. However, the behavior of consumers is more passive than active brand engagement. Personal identity and compensation serve as motivational reasons for brand engagement on both active and passive level, while the rest are only passive brand engagement. Besides motivation there are other variables that affect consumers. Support for the team reflects to brand engagement, which is passive brand engagement. The visibility of the brand during the event is linked to both active and passive brand engagement. Prior information of sports team and event and frequency of attendance can be linked only to active brand engagement. On the other hand, congruence between the team and brand reflects only to passive brand engagement.

Weathering crises on social media – Theory and practices from social media active organizations operating in Finland

Thesis compiles findings from previous research to produce guidelines on addressing crises on social media. These guidelines extracted from previous research are compared qualitatively with empirical evidence from 12 organizations by examining whether organizations apply practices recommended in previous research. Much of guidelines gain support from practitioners with few exceptions. Findings stemming from theory and practice combine to shed light on how controversies are born on social media, how crises can be prevented on social media and how organizations may manage crisis situations on social media. The majority of the resulting guidelines focus on how to address negative information and communicate during a crisis but other means of crisis management are also presented. Previous research had voiced that the field of public relations was very fractured, crisis management was lacking qualitative research and provided very little information on what organizations should do before a crisis. Thesis collects a comprehensive amount of previous research from various fields of PR in an effort to unite findings and guidelines, gathers and analyzes empirical data in a qualitative manner and includes a pre-crisis paradigm. One of the challenges in the field of crisis management still remains the absence of universally agreed definition of a crisis and the lack of means to quantify and compare the magnitude of crises.

Diseño e Implementación de un robot de conocimiento para la extracción de información de los Social Media y Web

Las transformaciones tecnológicas y de información que está experimentando la sociedad, especialmente en la última década, está produciendo un crecimiento exponencial de los datos en todos los ámbitos de la sociedad. Los datos que se generan en los diferentes ámbitos se corresponden con elementos primarios de información que por sí solos son irrelevantes como apoyo a las tomas de decisiones. Para que estos datos puedan ser de utilidad en cualquier proceso de decisión, es preciso que se conviertan en información, es decir, en un conjunto de datos procesados con un significado, para ayudar a crear conocimiento. Estos procesos de transformación de datos en información se componen de diferentes fases como la localización de las fuentes de información, captura, análisis y medición.Este cambio tecnológico y a su vez de la sociedad ha provocado un aumento de las fuentes de información, de manera que cualquier persona, empresas u organización, puede generar información que puede ser relevante para el negocio de las empresas o gobiernos. Localizar estas fuentes, identificar información relevante en la fuente y almacenar la información que generan, la cual puede tener diferentes formatos, es el primer paso de todo el proceso anteriormente descrito, el cual tiene que ser ejecutado de manera correcta ya que el resto de fases dependen de las fuentes y datos recolectados. Para la identificación de información relevante en las fuentes se han creado lo que se denomina, robot de búsqueda, los cuales examinan de manera automática una fuente de información, localizando y recolectando datos que puedan ser de interés.En este trabajo se diseña e implementa un robot de conocimiento junto con los sistemas de captura de información online para fuentes hipertextuales y redes sociales.

Pinning Down Identity in Social Media: Food Cultural Transfer on Pinterest

This research has been conducted within the realm of where today’s digital media society and the timeless concept of cultural identity overlap. The aim of this thesis is to explore the nature of online cultural identity management. By focusing on the social media platform, Pinterest, this study considers the food-pinning behavior of a group of Americans living in Finland and connects their online actions with their cultural identity. Through an examination of Pinterest as a social space, and even a third place, the relative theoretical literature provides and interesting background for a contemporary discussion on the matter. Literature on food as a cultural marker is also brought into consideration. Using the methods of introspection and an adapted version of virtual ethnography, a study was conducted, and ultimately, the analysis of data obtained from the Pinterest boards of ten individuals shows that the vast majority of food-related information in this setting is US-sourced. A questionnaire provides further insight into the individuals’ Pinterest usage. I argue that pinning is an act of online identity management, whether it is a conscious act or a situational effect, and that using Pinterest maintains and even strengthens these individuals’ cultural identity as Americans. This study adds to current discussions pertaining to transnationalism, globalization, and online cultural identity, as well as opens channels for further research on this dynamic topic, which is needed to understand ourselves as cultural beings in the digital age.

Understanding social media in everyday life: Ethnomethodological and conversation analytic perspectives

Over the last decade, social media has become a hot topic for researchers of collaborative technologies (e.g., CSCW). The pervasive use of social media in our everyday lives provides a ready source of naturalistic data for researchers to empirically examine the complexities of the social world. In this talk I outline a different perspective informed by ethnomethodology and conversation analysis (EMCA) - an orientation that has been influential within CSCW, yet has only rarely been applied to social media use. EMCA approaches can complement existing perspectives through articulating how social media is embedded in everyday life, and how its social organisation is achieved by users of social media. Outlining a possible programme of research, I draw on a corpus of screen and ambient audio recordings of mobile device use to show how EMCA research can be generative for understanding social media through concepts such as adjacency pairs, sequential context, turn allocation / speaker selection, and repair. In doing so, I also raise questions about existing studies of social media use and the way they characterise interactional phenomena.

Building climate change resilience and adaptive capacity in Australia’s community sector using social media and technology innovation

Public and private sector organisations worldwide are putting strategies in place to manage the commercial and operational risks of climate change. However, community organisations are lagging behind in their understanding and preparedness, despite them being among the most exposed to the effects of climate change impacts and regulation. This poster presents a proposal for a multidisciplinary study that addresses this issue by developing, testing and applying a novel climate risk assessment methodology that is tailored to the needs of Australia’s community sector and its clients. Strategies to mitigate risks and build resilience and adaptive capacity will be identified including new opportunities afforded by urban informatics, social media, and technologies of scale making.