Healthy waterways social science research report 2015

Healthy Waterways aims to protect and enhance the condition of waterways across 19 catchment local government areas in Queensland. It does this by seeking to influence the decisions and actions – including social lifestyle choices – of community members who interact with these waterways. It then monitors the waterways in the 19 catchments to gauge the impact of these decisions and actions. Each year, Healthy Waterways produces a report on its activities and their impact on the condition of the waterways they are monitoring. This research will contribute to understanding the social component of that report, specifically the attitudinal and behavioural components that underpin social expectations and actions towards protecting and supporting local waterways in communities across the 19 catchment local government areas in Queensland.

Besides tracking: Simulation of RFID marketing and beyond

This paper asks a new question: how we can use RFID technology in marketing products in supermarkets and how we can measure its performance or ROI (Return-on-Investment). We try to answer the question by proposing a simulation model whereby customers become aware of other customers' real-time shopping behavior and may hence be influenced by their purchases and the levels of purchases. The proposed model is orthogonal to sales model and can have the similar effects: increase in the overall shopping volume. Managers often struggle with the prediction of ROI on purchasing such a technology, this simulation sets to provide them the answers of questions like the percentage of increase in sales given real-time purchase information to other customers. The simulation is also flexible to incorporate any given model of customers' behavior tailored to particular supermarket, settings, events or promotions. The results, although preliminary, are promising to use RFID technology for marketing products in supermarkets and provide several dimensions to look for influencing customers via feedback, real-time marketing, target advertisement and on-demand promotions. Several other parameters have been discussed including the herd behavior, fake customers, privacy, and optimality of sales-price margin and the ROI of investing in RFID technology for marketing purposes. © 2010 Springer Science+Business Media B.V.

Food waste, power, and corporate social responsibility in the Australian food supply chain

By examining corporate social responsibility (CSR) and power within the context of the food supply chain, this paper illustrates how food retailers claim to address food waste while simultaneously setting standards that result in the large-scale rejection of edible food on cosmetic grounds. Specifically, this paper considers the powerful role of food retailers and how they may be considered to be legitimately engaging in socially responsible behaviors to lower food waste, yet implement practices that ultimately contribute to higher levels of food waste elsewhere in the supply chain. Through interviews with key actors in the Australian fresh fruit and vegetable supply chain, we highlight the existence of a legitimacy gap in corporate social responsibility whereby undesirable behaviors are pushed elsewhere in the supply chain. It is argued that the structural power held by Australia’s retail duopoly means that supermarkets are able to claim virtuous and responsible behaviors, despite counter claims from within the fresh food industry that the food supermarkets’ private quality standards mean that fresh food is wasted. We argue that the supermarkets claim CSR kudos for reducing food waste at the expense of other supply chain actors who bear both the economic cost and the moral burden of waste, and that this is a consequence of supermarkets’ remarkable market power in Australia.

Multidimensionality of Actors in Business Networks: The Influence of Social Action in Pharmacy Networks in Finland

In the markets-as-networks approach business networks are conceived as dynamic actor structures, giving focus to exchange relationships and actors’ capabilities to control and co-ordinate activities and resources. Researchers have shared an understanding that actors’ actions are crucial for the development of business networks and for network dynamics. However, researchers have mainly studied firms as business actors and excluded individuals, although both firms and individuals can be seen as business actors. This focus on firms as business actors has resulted in a paucity of research on human action and the exchange of intangible resources in business networks, e.g. social exchange between individuals in social networks. Consequently, the current conception of business networks fails to appreciate the richness of business actors, the human character of business action and the import of social action in business networks. The central assumption in this study is that business actors are multidimensional and that their specific constitution in any given situation is determined by human interaction in social networks. Multidimensionality is presented as a concept for exploring how business actors act in different situations and how actors simultaneously manage multiple identities: individual, organisational, professional, business and network identities. The study presents a model that describes the multidimensionality of actors in business networks and conceptualises the connection between social exchange and human action in business networks. Empirically the study explores the change that has taken place in pharmaceutical retailing in Finland during recent years. The phenomenon of emerging pharmacy networks is highly contemporary in the Nordic countries, where the traditional license-based pharmacy business is changing. The study analyses the development of two Finnish pharmacy chains, one integrated and one voluntary chain, and the network structures and dynamics in them. Social Network Analysis is applied to explore the social structures within the pharmacy networks. The study shows that emerging pharmacy networks are multifaceted phenomena where political, economic, social, cultural, and historical elements together contribute to the observed changes. Individuals have always been strongly present in the pharmacy business and the development of pharmacy networks provides an interesting example of human actors’ influence in the development of business networks. The dynamics or forces driving the network development can be linked to actors’ own economic and social motives for developing the business. The study highlights the central role of individuals and social networks in the development of the two studied pharmacy networks. The relation between individuals and social networks is reciprocal. The social context of every individual enables multidimensional business actors. The mix of various identities, both individual and collective identities, is an important part of network dynamics. Social networks in pharmacy networks create a platform for exchange and social action, and social networks enable and support business network development.

A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks

Our study concerns an important current problem, that of diffusion of information in social networks. This problem has received significant attention from the Internet research community in the recent times, driven by many potential applications such as viral marketing and sales promotions. In this paper, we focus on the target set selection problem, which involves discovering a small subset of influential players in a given social network, to perform a certain task of information diffusion. The target set selection problem manifests in two forms: 1) top-k nodes problem and 2) lambda-coverage problem. In the top-k nodes problem, we are required to find a set of k key nodes that would maximize the number of nodes being influenced in the network. The lambda-coverage problem is concerned with finding a set of k key nodes having minimal size that can influence a given percentage lambda of the nodes in the entire network. We propose a new way of solving these problems using the concept of Shapley value which is a well known solution concept in cooperative game theory. Our approach leads to algorithms which we call the ShaPley value-based Influential Nodes (SPINs) algorithms for solving the top-k nodes problem and the lambda-coverage problem. We compare the performance of the proposed SPIN algorithms with well known algorithms in the literature. Through extensive experimentation on four synthetically generated random graphs and six real-world data sets (Celegans, Jazz, NIPS coauthorship data set, Netscience data set, High-Energy Physics data set, and Political Books data set), we show that the proposed SPIN approach is more powerful and computationally efficient. Note to Practitioners-In recent times, social networks have received a high level of attention due to their proven ability in improving the performance of web search, recommendations in collaborative filtering systems, spreading a technology in the market using viral marketing techniques, etc. It is well known that the interpersonal relationships (or ties or links) between individuals cause change or improvement in the social system because the decisions made by individuals are influenced heavily by the behavior of their neighbors. An interesting and key problem in social networks is to discover the most influential nodes in the social network which can influence other nodes in the social network in a strong and deep way. This problem is called the target set selection problem and has two variants: 1) the top-k nodes problem, where we are required to identify a set of k influential nodes that maximize the number of nodes being influenced in the network and 2) the lambda-coverage problem which involves finding a set of influential nodes having minimum size that can influence a given percentage lambda of the nodes in the entire network. There are many existing algorithms in the literature for solving these problems. In this paper, we propose a new algorithm which is based on a novel interpretation of information diffusion in a social network as a cooperative game. Using this analogy, we develop an algorithm based on the Shapley value of the underlying cooperative game. The proposed algorithm outperforms the existing algorithms in terms of generality or computational complexity or both. Our results are validated through extensive experimentation on both synthetically generated and real-world data sets.

Determining Top K Nodes in Social Networks using the Shapley Value

In this paper, we consider the problem of selecting, for any given positive integer k, the top-k nodes in a social network, based on a certain measure appropriate for the social network. This problem is relevant in many settings such as analysis of co-authorship networks, diffusion of information, viral marketing, etc. However, in most situations, this problem turns out to be NP-hard. The existing approaches for solving this problem are based on approximation algorithms and assume that the objective function is sub-modular. In this paper, we propose a novel and intuitive algorithm based on the Shapley value, for efficiently computing an approximate solution to this problem. Our proposed algorithm does not use the sub-modularity of the underlying objective function and hence it is a general approach. We demonstrate the efficacy of the algorithm using a co-authorship data set from e-print arXiv (www.arxiv.org), having 8361 authors.

Accelerating Information Diffusion in Social Networks Under the Susceptible-Infected-Susceptible Epidemic Model

Standard Susceptible-Infected-Susceptible (SIS) epidemic models assume that a message spreads from the infected to the susceptible nodes due to only susceptible-infected epidemic contact. We modify the standard SIS epidemic model to include direct recruitment of susceptible individuals to the infected class at a constant rate (independent of epidemic contacts), to accelerate information spreading in a social network. Such recruitment can be carried out by placing advertisements in the media. We provide a closed form analytical solution for system evolution in the proposed model and use it to study campaigning in two different scenarios. In the first, the net cost function is a linear combination of the reward due to extent of information diffusion and the cost due to application of control. In the second, the campaign budget is fixed. Results reveal the effectiveness of the proposed system in accelerating and improving the extent of information diffusion. Our work is useful for devising effective strategies for product marketing and political/social-awareness/crowd-funding campaigns that target individuals in a social network.

Campaigning in Heterogeneous Social Networks: Optimal Control of SI Information Epidemics

We study the optimal control problem of maximizing the spread of an information epidemic on a social network. Information propagation is modeled as a susceptible-infected (SI) process, and the campaign budget is fixed. Direct recruitment and word-of-mouth incentives are the two strategies to accelerate information spreading (controls). We allow for multiple controls depending on the degree of the nodes/individuals. The solution optimally allocates the scarce resource over the campaign duration and the degree class groups. We study the impact of the degree distribution of the network on the controls and present results for Erdos-Renyi and scale-free networks. Results show that more resource is allocated to high-degree nodes in the case of scale-free networks, but medium-degree nodes in the case of Erdos-Renyi networks. We study the effects of various model parameters on the optimal strategy and quantify the improvement offered by the optimal strategy over the static and bang-bang control strategies. The effect of the time-varying spreading rate on the controls is explored as the interest level of the population in the subject of the campaign may change over time. We show the existence of a solution to the formulated optimal control problem, which has nonlinear isoperimetric constraints, using novel techniques that is general and can be used in other similar optimal control problems. This work may be of interest to political, social awareness, or crowdfunding campaigners and product marketing managers, and with some modifications may be used for mitigating biological epidemics.

Un caso de marketing turístico: el agroturismo en el País Vasco

[ES] El agroturismo vasco, que data del año 1988, responde a una modalidad de turismo desarrollada en el medio rural, con la peculiaridad de llevarse a cabo en una explotación agraria y ser desempeñada por agricultores que combinan su labor agrícola con la prestación de servicios. La aplicación del marketing en esta forma turística ha sido hasta el momento escasa y se ha canalizado básicamente a través de la Administración Autonómica.

El servicio público de fomento de la economía social en el País Vasco desde una perspectiva de orientación al mercado. Propuestas y acciones

465 p.

Marketing of the Spanish film industry in the entertainment market

This project analyzes the role that marketing plays at present.It is a distinctive in the film industry because of the emergence of new patterns of production, distribution and exhibition due to the unstoppable progress of digital technologies, the expansion of the internet and consumer changes in the spectator. To perform this analysis, a description of the situation of the film industry in the competitive market, Hollywood, and the evolution of digital technology in general are included. It is also essential in the project, to observe, the marketing applied to the different phases of the globalized cinema. And then introduce the potential Spanish marketing strategies.

Responsabilidad social empresarial en el sector bancario

En este proyecto de final de carrera realizaré un análisis de la responsabilidad social corporativa tanto de manera teórica como práctica. En un primer punto, se estudiará el marco histórico y la evolución de la responsabilidad social corporativa, teniendo en cuenta las principales actitudes y variantes que surgieron a partir de los años 50 y que marcaron el principio del debate sobre la RSC. También, explicaré las diferentes visiones de los autores más importantes en esta materia hasta llegar a su conceptualización en el momento actual. En el segundo punto, analizaré las actuaciones en Responsabilidad Social de las empresas del sector bancario y financiero del IBEX 35 (Banco Popular, Bankia, Bankinter, BBVA, Caixabank, Sabadell y Santander). Para realizar este estudio analizaré cuatro diferentes aspectos en cada una de las empresas: 1.- La misión, visión y valores, como indicador del propósito de la empresa y su orientación hacia la sostenibilidad. 2.- La estructura organizativa y la ubicación del departamento de Responsabilidad Social. 3.- El modelo de gestión sostenible seguido por las empresas objeto de análisis, entendiendo por tal, la forma de identificar las demandas de los diferentes grupos de interés y la forma en la que las empresas atienden dichas demandas. 4.- La pertenencia de las empresas a diferentes índices de inversión sostenible y/o la adhesión a pactos, normas, códigos de conducta, etc., sectoriales o globales, como indicadores de reconocimiento o validez externa a las actuaciones de la empresa en materia de responsabilidad social. A través de este análisis, concluiremos el estado de avance e implementación de la Responsabilidad Social en las entidades objeto de análisis.

La aplicación empresarial del marketing viral y el efecto boca-oreja electrónico. Opiniones de las empresas

[ES] La práctica tradicional del boca-oreja, natural desde hace años como modo de publicidad efectiva sin recurrir a grandes inversiones ni contrataciones en medios masivos se ha convertido en una nueva posibilidad de marketing con la llegada de las nuevas tecnologías e Internet. Así ha aparecido una nueva estrategia de marketing que consiste en explotar las redes sociales preexistentes para producir incrementos exponenciales en conocimiento de marca, denominada marketing viral. El efecto "boca-oreja online" que genera es una herramienta poderosa para las empresas, aunque su verdadero potencial está aún por descubrir. El objetivo del presente trabajo de investigación es analizar este fenómeno a través de una amplia revisión bibliográfica del término, así como un estudio empírico consistente en una entrevista en profundidad realizada a una muestra de importantes empresas españolas. Los resultados indican que el marketing viral puede ser empleado para el beneficio, tanto de grandes empresas con grandes presupuestos, como de pequeños negocios. Las experiencias exitosas de su utilización demuestran que, cuando se usa integrado en el resto de estrategias comerciales de la empresa, puede mejorar la recomendación de la marca e incrementar su notoriedad en el mercado. El marketing viral puede ser ventajoso a la hora de lanzar un nuevo producto al mercado, sin embargo, la efectividad y la medición de las campañas son vistas por muchos académicos y profesionales como un punto débil de la estrategia.