Big data: a normal accident waiting to happen?

Widespread commercial use of the internet has significantly increased the volume and scope of data being collected by organisations. ‘Big data’ has emerged as a term to encapsulate both the technical and commercial aspects of this growing data collection activity. To date, much of the discussion of big data has centred upon its transformational potential for innovation and efficiency, yet there has been less reflection on its wider implications beyond commercial value creation. This paper builds upon normal accident theory (NAT) to analyse the broader ethical implications of big data. It argues that the strategies behind big data require organisational systems that leave them vulnerable to normal accidents, that is to say some form of accident or disaster that is both unanticipated and inevitable. Whilst NAT has previously focused on the consequences of physical accidents, this paper suggests a new form of system accident that we label data accidents. These have distinct, less tangible and more complex characteristics and raise significant questions over the role of individual privacy in a ‘data society’. The paper concludes by considering the ways in which the risks of such data accidents might be managed or mitigated.

Big Data and ecosystem research programmes

The size and complexity of data sets generated within ecosystem-level programmes merits their capture, curation, storage and analysis, synthesis and visualisation using Big Data approaches. This review looks at previous attempts to organise and analyse such data through the International Biological Programme and draws on the mistakes made and the lessons learned for effective Big Data approaches to current Research Councils United Kingdom (RCUK) ecosystem-level programmes, using Biodiversity and Ecosystem Service Sustainability (BESS) and Environmental Virtual Observatory Pilot (EVOp) as exemplars. The challenges raised by such data are identified, explored and suggestions are made for the two major issues of extending analyses across different spatio-temporal scales and for the effective integration of quantitative and qualitative data.

Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ”#GE2015”, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

The role of big data in governance: a regulatory and legal perspective of analytics in global financial services

This paper discusses how global financial institutions are using big data analytics within their compliance operations. A lot of previous research has focused on the strategic implications of big data, but not much research has considered how such tools are entwined with regulatory breaches and investigations in financial services. Our work covers two in-depth qualitative case studies, each addressing a distinct type of analytics. The first case focuses on analytics which manage everyday compliance breaches and so are expected by managers. The second case focuses on analytics which facilitate investigation and litigation where serious unexpected breaches may have occurred. In doing so, the study focuses on the micro/data to understand how these tools are influencing operational risks and practices. The paper draws from two bodies of literature, the social studies of information systems and finance to guide our analysis and practitioner recommendations. The cases illustrate how technologies are implicated in multijurisdictional challenges and regulatory conflicts at each end of the operational risk spectrum. We find that compliance analytics are both shaping and reporting regulatory matters yet often firms may have difficulties in recruiting individuals with relevant but diverse skill sets. The cases also underscore the increasing need for financial organizations to adopt robust information governance policies and processes to ease future remediation efforts.

UNIT VECTOR FIELDS ON ANTIPODALLY PUNCTURED SPHERES: BIG INDEX, BIG VOLUME

We establish in this paper a lower bound for the volume of a unit vector field (v) over right arrow defined ou S(n) \ {+/-x}, n = 2,3. This lower bound is related to the sum of the absolute values of the indices of (v) over right arrow at x and -x.

The impact of big-boxes on local retail : What happens when IKEA comes to town?

The development of large discount retailers, or big-boxes as they are sometimes referred to, are often subject to heated debate and their entry on a market is greeted with either great enthusiasm or dread. For instance, the world’s largest retailer Wal-Mart (Forbes 2014) has a number of anti- and pro-groups dedicated to its being and the event of a Wal-Mart entry tends to be met with protests and campaigns (Decamme 2013) but also welcomed by, for instance, consumers (Davis & DeBonis 2013). Also in Sweden, the entry of a big box is a hot topic and before IKEA’s opening i Borlänge 2013, the first in Sweden in more than five years, great expectations were mixed with worry (Västerbottens-Kuriren 2011).The presence of large scale discount retailers is not, however, a novel phenomenon but a part of a long-term change in retailing that has taken place globally over the past couple of decades (Taylor & Smalling, 2005). As noted by Dawson (2006), the trend in Europe has over the past few decades gone towards an increasing concentration of large firms along with a decrease of smaller firms.This trend is also detectable in the Swedish retail industry. Over the past decade, the retailing industry in Sweden has increased by around 190 Billion SEK, and its share of GDP has risen from 2,7% to 2,9%, while the number of employees have increased from 200 000 to 250 000 (HUI 2013). This growth, however, has not been distributed evenly but rather it has been oriented mainly towards out-of-town retail clusters. Parallel to this development, the number of large retailers has risen at the expense of market shares of smaller independent firms (Rämme et al 2010). Thereby, the presence of large scale retailers is simply part of a changing retail landscape.The effects of this development, where large scale retailing agents relocate shopping to out-of-town shopping areas, have been heavily debated. On the one hand, the big-boxes are accused of displacing independent small retail businesses in the city-centers and the residential areas, resulting in, to some extent, reduced employment opportunities and less availability for the consumers - especially the elderly (Ljungberg et al 2006). In addition, as access to shopping now tends to require some sort of a motorized vehicle, environmental aspects to the discussion have emerged. Ultimately these types of concerns have resulted in calls for regulations against this development (Olsson 2010). On the other hand, the proponents of the new shopping landscape argue that this evolution implies productivity gains, the benefits of lower prices and an increased variety of products (Maican & Orth 2012). Moreover it is argued that it leads to, for instance, better services (such as longer opening hours) and a creative destruction transformation pressure on retailers, which brings about a renewal of city-centerIIretail and services, increasing their attractivity (Bergström 2010). The belief in benefits of a big box entry can be exemplified by the attractivity of IKEA, and the fact that municipalities are prepared to commit to expenses amounting up to hundreds of millions in order to attract the entry of this big-box. Borlänge municipality, for instance, agreed to expenses of about 350 million SEK in order to secure the entry of IKEA, which opened in 2013 (Blomgren 2009).Against this backdrop, the overall effects of large discount retailers become important: Are the economic benefits enough to warrant subsidies or are there, on the contrary, some very compelling grounds for regulations against these types of establishments? In other words; how is overall retail in a region where a store like IKEA enters affected? And how are local retail firms affected?In order to answer these questions, the purpose of this thesis is to study how entry of a big-box retailer affects the entry region. The object of this study is IKEA - one of the world’s largest retailers, with 345 stores, active in over 40 countries and with profits of about 3.3 billion (IKEA 2013; IKEA 2014). By studying the effects of IKEA-entry, both on an aggregated level and on firm level, this thesis intends to find indications of how large discount retail establishments in general can be expected to affect the economic development both in a region overall, but also on the local firm level, something which is of interest to both policymakers as well as the retailing industry in general.The first paper examines the effects of IKEA on retail revenues and employment in the municipalities that IKEA chose to enter between 2000 and 2011; Gothenburg, Haparanda, Kalmar and Karlstad. By means of a matching method we first identify non-entry municipalities that have a similar probability of IKEA entry as the true entry municipalities. Then, using these non-entry municipalities as a control group, the causal effects of IKEA entry can be estimated using a treatment-control approach. We also extend the analysis to examine the spatial impact of IKEA by estimating the effects on retail in neighboring municipalities. It is found that a new IKEA store increases revenues in durable goods trade with 20% in the entry municipality and the number of employees with 17%. Only small, and in most cases statistically insignificant, negative effects were found in neighboring municipalities.It appears that there is a positive net effect on durables retail sales and employment in the entry municipality. However, the analysis is based on data on an aggregated municipality level and thereby it remains unclear if and how the effects vary within the entry municipalities. In addition, the data used in the first study includes the sales and employment of IKEA itself, which could account for the majority of the increases in employment and retail. Thereby the potential spillover effects on incumbent retailers in the entry municipalities cannot be discerned in the first study.IIITo examine effects of IKEA entry on incumbent retail firms, the second paper in this thesis analyses how IKEA entry affects the revenues and employment of local retail firms in three municipalities; Haparanda, Kalmar and Karlstad, which experienced entry by IKEA between 2000 and 2010. In this second study, we exclude Gothenburg due to the fact that big-box entry appears to have weaker effects in metropolitan areas (as indicated by Artz & Stone 2006). By excluding Gothenburg we aim to reduce the geographical heterogeneity in our study. We obtain control municipalities that are as similar as possible to the three entry municipalities using the same method as in the previous study, but including a slightly different set of variables in the selection equation. Using similar retail firms in the control municipalities as our comparison group, we estimate the impact of IKEA entry on revenues and employment for retail firms located at varying distances from the IKEA entry site.The results generated in this study imply that entry by IKEA increases revenues in incumbent retail firms by, on average, 11% in the entry municipalities. In addition, we do not find any significant impact on retail revenues in the city centers of the entry municipalities. However, we do find that retail firms within 1 km of the IKEA experience increases in revenues of about 26%, which indicates large spillover effects in the area nearby the entry site. As expected, this impact decreases as we expand the buffer zone: firms located between 0-2 km experiences a 14% increase and firms in 2-5 km experiences an increase of 10%. We do not find any significant impacts on retail employment.

Big House Scrapbook

This scrapbook contains photographs and family memories of the big Levine family house on Ticonic Street, of the Levine family "camp," of going to temple, and of various members of the family.

Troca de informação e ações conjuntas desenvolvidas pelo grupo de Big Bands Movimento Elefantes

Dissertação apresentada ao Programa de Pós-graduação em Administração da Universidade Municipal de São Caetano do Sul

Estratégias de Compras Governamentais no Brasil - Teoria dos Leilões e "Big Data"

O estudo da FGV Projetos, coordenado pelo economista Fernando Blumenschein, desenvolve um quadro metodológico específico para compras governamentais com base em pesquisa realizada para o Fundo Nacional de Desenvolvimento da Educação (FNDE). Este estudo destaca o potencial de uso dos conceitos da teoria dos leilões, juntamente com métodos de análise de "Big Data" na formação de sessões públicas.

Privacidade e inovação na era do Big Data

A coleta e o armazenamento de dados em larga escala, combinados à capacidade de processamento de dados que não necessariamente tenham relação entre si de forma a gerar novos dados e informações, é uma tecnologia amplamente usada na atualidade, conhecida de forma geral como Big Data. Ao mesmo tempo em que possibilita a criação de novos produtos e serviços inovadores, os quais atendem a demandas e solucionam problemas de diversos setores da sociedade, o Big Data levanta uma série de questionamentos relacionados aos direitos à privacidade e à proteção dos dados pessoais. Esse artigo visa proporcionar um debate sobre o alcance da atual proteção jurídica aos direitos à privacidade e aos dados pessoais nesse contexto, e consequentemente fomentar novos estudos sobre a compatibilização dos mesmos com a liberdade de inovação. Para tanto, abordará, em um primeiro momento, pontos positivos e negativos do Big Data, identificando como o mesmo afeta a sociedade e a economia de forma ampla, incluindo, mas não se limitando, a questões de consumo, saúde, organização social, administração governamental, etc. Em seguida, serão identificados os efeitos dessa tecnologia sobre os direitos à privacidade e à proteção dos dados pessoais, tendo em vista que o Big Data gera grandes mudanças no que diz respeito ao armazenamento e tratamento de dados. Por fim, será feito um mapeamento do atual quadro regulatório brasileiro de proteção a tais direitos, observando se o mesmo realmente responde aos desafios atuais de compatibilização entre inovação e privacidade.

Monopoly rights can reduce income big time

We study a two–sector version of the neoclassical growth model with coalitions of factor suppliers in the capital producing sectors. We show that if the coalitions have monopoly rights, then they block the adoption of the efficient technology. We also show that blocking leads to a decrease in the productivity of each capital producing sector and to an increase in the relative price of capital; as a result the capital stock and the production fall in each sector. We finally show that the implied fall in the level of per–capita income can be large quantitatively.

The certification role of venture capitalists, top underwriters and big-n auditors in ipos

Esta tese avalia o impacto dos principais atores recorrentes durante o processo de IPO, em particular, o venture capitalist, o underwriter, e o auditor, sobre as condições de comercialização das ações da empresa, capturado pelo bid-ask spread, a fração de investidores institucionais que investem na empresa, a dispersão de capital, entre outros. Além disso, este estudo também analisa alguns benefícios que os fundos de Venture Capital (VCs) fornecem às empresas que eles investem. Ele investiga o papel dos VCs em dificultar o gerenciamento de resultados em IPOs e quantifica o papel desempenhado por eles no desempenho operacional das empresas após sua oferta inicial de ações. No primeiro capítulo, os resultados indicam que as empresas inflam seus resultados principalmente nos períodos pré-IPO e do IPO. Quando nós controlamos para os quatro períodos diferentes do IPO, observamos que IPOs de empresas investidas por VCs apresentam significativamente menos gerenciamento de resultados no IPO e em períodos seguintes à orfeta inicial das ações, exatamente quando as empresas tendem a inflar mais seus lucros. Este resultado é robusto a diferentes métodos estatísticos e diferentes metodologias usadas para avaliar o gerenciamento de resultados. Além disso, ao dividir a amostra entre IPOs de empresas investidas e não investidas por VCs, observa-se que ambos os grupos apresentam gerenciamento de resultados. Ambas as subamostras apresentam níveis de gerenciamento de resultados de forma mais intensa em diferentes fases ao redor do IPO. Finalmente, observamos também que top underwriters apresentam menores níveis de gerenciamento de resultados na subamostra das empresas investidas por VCs. No segundo capítulo, verificou-se que a escolha do auditor, dos VCs, e underwriter pode indicar escolhas de longo prazo da empresa. Nós apresentamos evidências que as características do underwriter, auditor, e VC têm um impacto sobre as características das empresas e seu desempenho no mercado. Além disso, estes efeitos são persistentes por quase uma década. As empresas que têm um top underwriter e um auditor big-N no momento do IPO têm características de mercado que permanecem ao longo dos próximos 8 anos. Essas características são representadas por um número maior de analistas seguindo a empresa, uma grande dispersão da propriedade através de investidores institucionais, e maior liquidez através um bid-ask spread menor. Elas também são menos propensas a saírem do mercado, bem como mais propensas à emissão de uma orferta secundária. Finalmente, empresas investidas por VCs são positivamente afetadas, quando consideramos todas as medidas de liquidez de mercado, desde a abertura de capital até quase uma década depois. Tais efeitos não são devido ao viés de sobrevivência. Estes resultados não dependem da bolha dot-com, ou seja, os nossos resultados são qualitativamente similares, uma vez que excluímos o período da bolha de 1999-2000. No último capítulo foi evidenciado que empresas investidas por VCs incorrem em um nível mais elevado de saldo em tesouraria do que as empresas não investidas. Este efeito é persistente por pelo menos 8 anos após o IPO. Mostramos também que empresas investidas por VCs estão associadas a um nível menor de alavancagem e cobertura de juros ao longo dos primeiros oito anos após o IPO. Finalmente, não temos evidências estatisticamente significantes entre VCs e a razão dividendo lucro. Estes resultados também são robustos a diversos métodos estatísticos e diferentes metodologias.

Livro analisa relações emergentes entre big data e metodologias qualitativas

As tecnologias digitais tornaram-se uma importante infraestrutura para as nossas vidas nas mais diversas dimensões – cultural, social, politicas e econômicas. As formas de mediação digital têm alterado meios tradicionais e convencionais de organização de tempo e espaço. No entanto, contextualizar e situar narrativas e práticas de produção e análise de dados de rede – gerados em grande volume e a uma grande velocidade – têm sido grandes desafios para pesquisadores de todo o mundo. Lançado no fim de 2014, o livro Big data? Qualitative approaches to digital research (Emerald Books, 2014) oferece uma visão crítica sobre análises qualitativas de novos tipos de dados, plataformas e meios de comunicação, suas implicações para o futuro e como melhorar ativamente a pesquisa em relação a estes. Com autores especialistas das áreas de sociologia, ciência politica, cultura, comunicação, metodologia e administração, os organizadores do livro, Martin Hand e Sam Hillyard, denominam de pesquisa social digital todas as perspectivas qualitativas de diversas disciplinas, conceitos e orientações metodológicas e empíricas que atestem a integração e a diversificação das tecnologias digitais e de dados na vida social de hoje.

Too difficult to manage, too big to ignore: party choice in multiparty presidential systems

In consensual (proportional) highly fragmented multiparty settings, political parties have two historical choices to make or pathways to follow: i) playing a majoritarian role by offering credible candidates to the head of the executive; or ii) playing the median legislator game. Each of those choices will have important consequences not only for the party system but also for the government. The purpose of this paper is to investigate the role played by median legislator parties on coalition management strategies of presidents in a comparative perspective. We analyze in depth the Brazilian case where the Partido do Movimento Democrático Brasileiro (PMDB) has basically functioned as the median legislator party in Congress by avoiding the approval of extreme policies, both on the left and on the right. Based on an expert survey in Latin America, we built an index of Pmdbismo and identified that there is a positive correlation between partisan fragmentation and median legislator parties. In addition, we investigate the effect of having a median legislator party in the governing coalition. We found that it is cheaper and less difficult for the government to manage the coalition having the median legislative party on board.

Bright minds, big rent: gentrification and the rising returns to skill

In 1980, housing prices in the main US cities rose with distance to the city center. By 2010, that relationship had reversed. We propose that this development can be traced to greater labor supply of high-income households through reduced tolerance for commuting. In a tract-level data set covering the 27 largest US cities, years 1980-2010, we employ a city-level Bartik demand shifter for skilled labor and find support for our hypothesis: full-time skilled workers favor proximity to the city center and their increased presence can account for the observed price changes, notably the rising price premium commanded by centrality.