Profiling Essential Professional Skills of Chief Data Officers Through Topical Modeling Algorithms

Today enterprises are increasingly dependent on data to keep their business competitive and successful. To better harness values of data, more and more organizations are establishing Chief Data Officer (CDO) position. The professional skills of CDOs are rather diverse because CDOs are expected to undertake a variety of roles in their companies including enterprise data architect, data quality and governance manager, business strategy leader, business regulation compliance officer, etc. CDO is an emerging research field, few studies have been done on CDO. This paper tries to profile what are the key professional skills and education background that current CDOs have by studying their resumes on LinkedIn using topic modeling technique. This work is a step forward towards understanding the roles of CDOs in organizations and what are the professional skills and experience they may need have in order to undertake their responsibilities of managing data and realizing its true values for their organizations

Evaluating trust in electronic commerce : a study based on the information provided on merchants' websites

Lack of trust has been identified as a major problem hampering the growth of Electronic Commerce (EC). It is reported by many studies that a large number of online shoppers abandon their transactions because they do not trust the website when they are asked to provide personal information. To support trust, we developed an information framework model based on research on EC trust. The model is based on the information a consumer expects to find on an EC website and that is shown from the literature to increase his/her trust towards online merchants. An information extraction system is then developed to help the user find this information. In this paper, we present the development of the information extraction system and its evaluation. This is then followed by a study looking at the use of the identified variables on a sample of EC websites

Who Is the Next “Wolf of Wall Street”? Detection of Financial Intermediary Misconduct

Financial intermediaries are essential for investors’ participation in financial markets. Because of their position within the financial system, intermediaries who commit misconduct not only harm investors but also undermine trust in the financial system, which ultimately has a significant negative impact on the economy as a whole. Building upon information manipulation theory and warranting theory and making use of self-disclosed data with different levels of external verification, we propose different classifiers to automatically detect financial intermediary misconduct. In particular, we focus on self-disclosed information by financial intermediaries on the business network LinkedIn. We match user profiles with regulator-disclosed information and use these data for classifier training and evaluation. We find that self-disclosed information provides valuable input for detecting financial intermediary misconduct. In terms of external verification, our classifiers achieve the best predictive performance when also taking regulator-confirmed information into account. These results are supported by an economic evaluation. Our findings are highly relevant for both investors and regulators seeking to identify financial intermediary misconduct and thus contribute to the societal challenge of building and ensuring trust in the financial system

Personality extraction through LinkedIn

L'extraction de personnalité sur les réseaux sociaux est un domaine qui n'a que récemment commencé à capturer l'attention des chercheurs. La tâche consiste à, en partant d'un corpus de profils d'utilisateurs de réseaux sociaux, être capable de classifier leur personnalité correctement, selon un modèle de personnalité tel que défini en psychologie. Ce mémoire apporte trois innovations au domaine. Premièrement, la collecte d'un corpus d'utilisateurs LinkedIn. Deuxièmement, l'extraction sur deux modèles de personnalités, MBTI et DiSC, l'extraction sur DiSC n'ayant pas encore été faite dans le domaine, et finalement, la possibilité de passer d'un modèle de personnalité à l'autre est explorée, dans l'idée qu'il serait ainsi possible d'obtenir les résultats de multiples modèles de personnalités en partant d'un seul test.Personality extraction through social networks is a field that only recently started to capture the attention of researchers. The task consists in, starting with a corpus of user profiles on a particular social network, classifying their personalities correctly, according to a specific personality model as described in psychology. In this master thesis, three innovations to the domain are presented. Firstly, the collection of a corpus of LinkedIn users. Secondly, the extraction of the personality according to two personality models, DiSC and MBTI, the extraction with DiSC having never been done before. Lastly, the idea of going from one personality model to the other is explored, thus creating the possibility of having the results on two personality models with only one personality test

Early Carthusian Script and Silence

At its founding and during its first three decades, the Carthusian order developed a distinctive and forceful concept of communication among the members and between the members and the extramural world.2 Saint Bruno’s life, contemporary twelfth-century exegesis, and the physical situation of La Grande Chartreuse established the necessary context in which this concept evolved. A review of historical background, the relevant documentary texts, and early development demonstrate the shaping of two steps in this concept. Close reading of the principal testimonies of Carthusians Bruno, Guigo I, Guigo II, and some other witnesses, as well as of some passages in Saint Augustine, argues that Carthusian scribal work was more preliminary practice for spiritual development than it was the sacralization of codices and texts. The two-step structure, composed of contrary movements of presentation and effacement, guarded what the Carthusians regarded as spiritual activity within a changing historical environment and became a fundamental part of Latin Christian mysticism in the fourteenth and fifteenth centuries

Managing the Brand: Administrative Structure of the Hidden Profession of Collegiate Trademark Licensing

This study analyzes the current state of collegiate trademark licensing departments through first-hand accounts from current or past licensing professionals. Semi-structured interviews were conducted to understand current issues that are facing the licensing industry, particularly focusing on internal organizational structure of collegiate trademark licensing departments at institutes of higher education. Eleven participants, including licensing agents, licensees, licensing directors, and licensing experts were interviewed and the following themes emerged. Trademark licensing is a hidden profession, with little education available about the industry. Programs have greatly evolved over recent decades, but institutional infrastructure still lags in the appropriate assets and resources to sustain a growing program. Licensing directors have strong professional relationships with others in the field, but often have difficulty receiving buy-in to licensing objectives from their internal peers. A strong sense of ‘university’ versus ‘athletics’ exists, causing confusion and discrepancy in managing the multi-faceted licensing objectives

Data Science for Entrepreneurship Research:Studying Demand Dynamics for Entrepreneurial Skills in the Netherlands

The recent rise of big data and artificial intelligence (AI) is changing markets, politics, organizations, and societies. It also affects the domain of research. Supported by new statistical methods that rely on computational power and computer science --- data science methods --- we are now able to analyze data sets that can be huge, multidimensional, unstructured, and are diversely sourced. In this paper, we describe the most prominent data science methods suitable for entrepreneurship research and provide links to literature and Internet resources for self-starters. We survey how data science methods have been applied in the entrepreneurship research literature. As a showcase of data science techniques, based on a dataset of 95% of all job vacancies in the Netherlands over a 6-year period with 7.7 million data points, we provide an original analysis of the demand dynamics for entrepreneurial skills in the Netherlands. We show which entrepreneurial skills are particularly important for which type of profession. Moreover, we find that demand for both entrepreneurial and digital skills has increased for managerial positions, but not for others. We also find that entrepreneurial skills were significantly more demanded than digital skills over the entire period 2012-2017 and that the absolute importance of entrepreneurial skills has even increased more than digital skills for managers, despite the impact of datafication on the labor market. We conclude that further studies of entrepreneurial skills in the general population --- outside the domain of entrepreneurs --- is a rewarding subject for future research

Disclosure, Endorsement, and Identity in Social Marketing

Social marketing is among the newest advertising trends now emerging on the internet. Using online social networks such as Facebook or MySpace, marketers can send personalized promotional messages featuring an ordinary customer to that customer\u27s friends. Because they reveal a customer\u27s browsing and buying patterns, and because they feature implied endorsements, the messages raise significant concerns about disclosure of personal matters, information quality, and individuals\u27 ability to control the commercial exploitation of their identity. Yet social marketing falls through the cracks between several different legal paradigms that might allow its regulation-spanning from privacy to trademark and unfair competition to consumer protection to the appropriation tort and rights of publicity. This Article examines potential concerns with social marketing and the various legal responses available. It demonstrates that none of the existing legal paradigms, which all evolved in response to particular problems, addresses the unique new challenges posed by social marketing. Even though policymakers ultimately may choose not to regulate social marketing at all, that decision cannot be made intelligently without first contemplating possible problems and solutions. The Article concludes by suggesting a legal response that draws from existing law and requires only small changes. In doing so, it provides an example for adapting existing law to new technology, and it argues that law should play a more active role in establishing best practices for emerging online trends. trademark, right of publicity, privacy, consumer protection, reputation, social network

Legal Implications of a Ubiquitous Metaverse and a Web3 Future

The metaverse is understood to be an immersive virtual world serving as the locus for all forms of work, education, and entertainment experiences. Depicted in books, movies, and games, the metaverse has the potential not just to supplement real-world experiences but to substantially supplant them. This Article explores the rapid emergence and evolution of the Web3 technologies at the heart of the metaverse movement. Web3 itself is a paradigmatic shift in internet commerce