Handling Mitigating Circumstances for Electronic Contracts

Electronic contracts are a means of representing agreed responsibilities and expected behaviour of autonomous agents acting on behalf of businesses. They can be used to regulate behaviour by providing negative consequences, penalties, where the responsibilities and expectations are not met, i.e. the contract is violated. However, long-term business relationships require some flexibility in the face of circumstances that do not conform to the assumptions of the contract, that is, mitigating circumstances. In this paper, we describe how contract parties can represent and enact policies on mitigating circumstances. As part of this, we require records of what has occurred within the system leading up to a violation: the provenance of the violation. We therefore bring together contract-based and provenance systems to solve the issue of mitigating circumstances.

Towards a Formalisation of Electronic Contracting Environments

The IST-CONTRACT project is in the process of creating an electronic contracting language. One of the goals of this language is that it has formal underpinnings, and formalizations at a number of levels have been created. One of the lowest levels, upon which the other levels are built is the normative level. At this level, we identify how contract clauses (modeled as norms) may evolve over time. In this paper, we describe this formalization, and show how we may associate various states with a norm throughout its lifecycle. We also show how more complex evaluations may be carried out over a norm, and conclude with an example showing the application of the framework over a contract and its associated norms.

Determining the Trustworthiness of New Electronic Contracts

Expressing contractual agreements electronically potentially allows agents to automatically perform functions surrounding contract use: establishment, fulfilment, renegotiation etc. For such automation to be used for real business concerns, there needs to be a high level of trust in the agent-based system. While there has been much research on simulating trust between agents, there are areas where such trust is harder to establish. In particular, contract proposals may come from parties that an agent has had no prior interaction with and, in competitive business-to-business environments, little reputation information may be available. In human practice, trust in a proposed contract is determined in part from the content of the proposal itself, and the similarity of the content to that of prior contracts, executed to varying degrees of success. In this paper, we argue that such analysis is also appropriate in automated systems, and to provide it we need systems to record salient details of prior contract use and algorithms for assessing proposals on their content. We use provenance technology to provide the former and detail algorithms for measuring contract success and similarity for the latter, applying them to an aerospace case study.

Electronic Business Contracts between Services

Electronic contracts mirror the paper versions exchanged between businesses today, and offer the possibility of dynamic, automatic creation and enforcement of restrictions and compulsions on service behaviour that are designed to ensure business objectives are met. Where there are many contracts within a particular application, it can be difficult to determine whether the system can reliably fulfil them all, yet computer-parsable electronic contracts may allow such verification to be automated. In this chapter, we describe a conceptual framework and architecture specification in which normative business contracts can be electronically represented, verified, established, renewed, and so on. In particular, we aim to allow systems containing multiple contracts to be checked for conflicts and violations of business objectives. We illustrate the framework and architecture with an aerospace aftermarket example.

Using Normative Markov Decision Processes for Evaluating Electronic Contracts: A Case Study in a Simulated Aerospace Aftermarket

Before signing electronic contracts, a rational agent should estimate the expected utilities of these contracts and calculate the violation risks related to them. In order to perform such pre-signing procedures, this agent has to be capable of computing a policy taking into account the norms and sanctions in the contracts. In relation to this, the contribution of this work is threefold. First, we present the Normative Markov Decision Process, an extension of the Markov Decision Process for explicitly representing norms. In order to illustrate the usage of our framework, we model an example in a simulated aerospace aftermarket. Second, we specify an algorithm for identifying the states of the process which characterize the violation of norms. Finally, we show how to compute policies with our framework and how to calculate the risk of violating the norms in the contracts by adopting a particular policy.

Robert Cornell, Technical Editor, Electronic Technician Magazine

New York Trade School graduate Robert Cornell is pictured at his desk in his position of Technical Editor, Electronic Technician Magazine. Original caption reads "Robert Cornell - Advanced Television 1954, was appointed Technical Editor of Electronic Technician Magazine in 1956 and has served with distinction since. He is President of CETA (Certified Electronic Technicians Association), which consists of alumni of the New York Trade School who are graduates of the Advanced Television Course. He was recently invited to serve a a member of the Attorney General's Committee seeking to establish safeguards to protect the public in the field of television servicing." Black and white photograph with caption to glued to reverse.

Brave New World, 2050: The Implications of Shifting to Electronic Collections

This futuristic article discusses the shift in academic and research libraries to electronic collections in the context of information access, costs, publication models, and preservation of content. Certain factors currently complicate the shift to electronic formats and challenge their widespread acceptance. Future scenarios spanning skill ecosystems, technologies and workflows, and societal implications are explored as logical outgrowths of present circumstances.

April 2000: Internet Caveats, Electronic Classroom

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Ah, Libraries: How I Love the Smell of... Electronic Access?!

In the olden days, we Baby-Boomers would walk into our university or college libraries and pause just long enough to take in that wonderful smells of high grade cowhide leather and aging papyrus before rushing off to study. There was something about opening any leather bound edition of anything and being transported by the smell to some distant land, not unlike Charles Swann in Marcel Proust’s famous French novel, A La Recherché du Temps Perdu, Remembrance of Things Past.

Recruiting a Diverse Student Body at Mid-Size Public Master’s Universities

As student demographics change, admissions officers are increasingly recruiting a diverse group of incoming students, including underrepresented minorities. We outline how five public institutions identify and recruit potential applicants and review recruitment strategies and methodologies for expanding target recruitment populations.

Can a great resume hurt? Gender and contrast effects on recruiting

Recruiters make many inferences about applicants' abilities and interpersonal attributes on the basis of applicants' resumes. For example, every once in a while, a good resume leaves a strong positive impression and the recruiter creates a high expectation for the selection interview. What if a disappointing interview follows? Will the great resume help or hurt the candidate? The purpose of this study is to assess the impact of a good resume on the recruiter’s evaluation of a candidate when a non-enthusiastic interview follows as well as the interacting role of gender. The results of two online experiments (n=454) where participants played the role of the recruiter, showed that, on average, a very good resume (vs. no resume) before a non-enthusiastic interview did not affect the recruiter’s evaluation of the candidate. However, when the recruiter’s and the candidate’s gender were taken into consideration, a different picture emerged. While no effect was found for male recruiters, the candidate’s resume had a clear significant impact on female recruiter’s evaluations: when the candidate was also a female, the good resume shown before the non-enthusiastic interview performance tended to help, whereas when the candidate was a male, the good resume had a significant negative effect on female recruiters’ evaluation of the candidate. In sum, in situations where the resume had a strong impact on the recruiter’s evaluation (female recruiters), the direction of the effect was moderated by the candidate’s gender. Gender differences in information processing as well as in-group/out-group biases due to gender matching are used to hypothesize and explain the main findings.

Antecedents of e-loyalty and electronic word-of-mouth

O objetivo principal da dissertação foi o de examinar a relação entre lealdade (e-loyalty) e o boca-a-boca (eWOM) no contexto do varejo eletrônico. Como objetivo secundário, foi feito uma verificação da significância das variáveis preditoras de e-loyalty. Essa pesquisa foi focada em um tipo de produto/serviço: compra de livros através da internet. Duzentos e quarenta e dois questionários online foram respondidos por um público representativo da geração Y (millennials), e rresidentes em diferentes localidades no Brasil e nos Estados Unidos. A análise de dados foi efetuada pela aplicação do método PLS-SEM sobre um modelo de pesquisa cuidadosamente formulado com base em resultados empíricos prévios. Enquanto que a relação entre e-loyalty e eWOM foi classificada como fraca, um ambiente de boca-a-boca online de alta qualidade representou uma variável preditora significativa para o sentimento de e-loyalty. Todas as variáveis preditoras foram classificadas como significativas nesse estudo, sendo que comprometimento tem o efeito mais forte sobre a variável e-loyalty.