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Declarative process modelling is a constraint-centric approach that treats business rules as first-class citizens in business process models. Augmenting the declarative process modelling technique with capability to detect the constraint violations during business process execution is of crucial importance. The purpose of this paper is to contribute to the modelling of business rules through a repository of pattern-oriented templates.

The semantics of the business rule templates is underpinned by linear temporal logic (LTL). Automated temporal reasoning is then conducted for determining whether process executions adhere to the business rules through the utilisation of the Logics Workbench (LWB). An application of the methodological framework is illustrated by a realistic case study on degree requirements verification.

To access the practicality of the approach, the case study of this paper is based on the verification of degree requirements, which is different from the domain area of the case study in the author’s prior work. The findings indicated that the temporal framework could be applied to the declarative process modelling in a consistent and efficient manner.

This paper is an extended version of the author’s earlier study. More details on the LTL and LWB are provided in the current study. The author introduces 17 new business rule templates and illustrates the utilisation of the new templates via a case study that belongs to a different domain area.

Shows the importance of heeding Clem Tisdell’s call to devote attention to values and to consider further the limitations of unbounded rationality models in economic research. Outlines the implications of a criticism of choice theory for environmental decision‐making. The critics of positivist philosophy of science show that it is impossible to carry out any analysis without making value judgements. The economist cannot escape this neither in theoretical analyses nor in applied studies. In relation to Clem Tisdell’s call to consider values without pontificating on them, it is important to make two points. First, the analysts should state as clearly as possible the values that guide their specific analyses. Second, they could provide the decision makers with a range of options that depend on different stakeholders’ ethical positions. Describes elements of the participatory decision‐making process. It is noted that this approach to evaluation may enhance the rationality of the choices; better represent the values of the various stakeholders; and allow an improved interaction between individuals and institutions.

The purpose of this summary is to provide excerpts of selected Financial Industry Regulatory Authority (FINRA) Regulatory Notices and Disciplinary Actions issued in July, August, and September 2010.

The paper provides excerpts from FINRA Regulatory Notices and Disciplinary Actions.

Regulatory Notice 10‐32: Effective August 2, 2010, the Board composition and governance structure of FINRA Dispute Resolution, Inc. (a subsidiary of FINRA) will more closely parallel the composition and governance structure of the FINRA, Inc. Board of Governors (FINRA Board). 10‐34: The SEC approved amendments to FINRA Rule 8312, which governs the release of information 10‐36: Effective September 7, 2010, amendments to FINRA Rule 2360 (Options) extend the cut‐off time for the submission of certain contrary exercise advices (CEAs) by one hour to 7.30 pm Eastern Time (ET). 10‐42: Effective February 11, 2011, and May 9, 2011, are new FINRA rules that extend certain Regulation NMS protections to quoting and trading of over‐the‐counter (OTC) Equity Securities. 10‐43: On September 10, 2010, the SEC approved amendments to FINRA Rule 6121 (Trading Halts Due to Extraordinary Market Volatility) to expand the trading‐pause pilot, originally adopted on June 10, 2010, to include all stocks in the Russell 1000 Index and specified ETPs.

These are direct excerpts designed to provide a useful digest for the reader and an indication of regulatory trends. The FINRA staff is aware of this summary but has neither reviewed nor edited it. For further detail as well as other useful information, the reader should visit www.finra.org

For many pattern recognition problems, the relation between the sample vectors and the class labels are known during the data acquisition procedure. However, how to find the useful rules or knowledge hidden in the data is very important and challengeable. Rule extraction methods are very useful in mining the important and heuristic knowledge hidden in the original high-dimensional data. It can help us to construct predictive models with few attributes of the data so as to provide valuable model interpretability and less training times.

In this paper, a novel rule extraction method with the application of biclustering algorithm is proposed.

To choose the most significant biclusters from the huge number of detected biclusters, a specially modified information entropy calculation method is also provided. It will be shown that all of the important knowledge is in practice hidden in these biclusters.

The novelty of the new method lies in the detected biclusters can be conveniently translated into if-then rules. It provides an intuitively explainable and comprehensive approach to extract rules from high-dimensional data while keeping high classification accuracy.

The purpose of this paper is to systematically develop a delay risk terminology and taxonomy. This research also explores two external and internal dimensions of the taxonomy to determine how much the taxonomy as a whole or combinations of its elements are generalisable.

Using mixed methods research, this systematic literature review incorporated data from 46 articles to establish delay risk terminology and taxonomy. Qualitative data of the top 10 delay risks identified in each article were coded based on the grounded theory and constant comparative analysis using a three-stage coding approach. Word frequency analysis and cross-tabulation were used to develop the terminology and taxonomy. Association rules within the taxonomy were also explored to define risk paths and to unmask associations among the risks.

In total, 26 delay risks were identified and grouped into ten categories to form the risk breakdown structure. The universal delay risks and other delay risks that are more or less depending on the project location were determined. Also, it is realized that delays connected to equipment, sub-contractors and design drawings are highly connected to project planning, finance and owner slow decision making, respectively.

The established terminology and taxonomy may be used in manual or automated risk management systems as a baseline for delay risk identification, management and communication. In addition, the association rules assist the risk management process by enabling mitigation of a combination of risks together.

A survey of project scheduling problems since 1973 limited to work done specifically in the project scheduling area (although several techniques developed for assembly line balancing and job‐shop scheduling can be applicable to project scheduling): the survey includes the work done on fundamental problems such as the resource‐constrained project scheduling problem (RCPSP); time/cost trade‐off problem (TCTP); and payment scheduling problem (PSP). Also discusses some recent research that integrates RCPSP with either TCTP or PSP, and PSP with TCTP. In spite of their practical relevance, very little work has been done on these combined problems to date. The future of the project scheduling literature appears to be developing in the direction of combining the fundamental problems and developing efficient exact and heuristic methods for the resulting problems.

The paper aims to report the main findings of a study for the Dutch Regulatory Authority for the Telecommunications sector OPTA to explore how the new European “cookie rules” in the ePrivacy Directive impact on behavioral advertising practices via the storing and reading of cookies. The paper identifies the main dilemmas with the implementation of the new European rules. The Dutch case provides a valuable reality check also outside The Netherlands. Even before the amendment of the directive, The Netherlands already had an opt‐in system in place. From the Dutch experience important lessons can be learned also for other European countries.

After a brief analysis of the legal situation in Europe and in The Netherlands (section 2), section 3 reports about the findings of a survey among the main providers of targeted advertising in The Netherlands to explore the current use of cookies and targeted advertising practices. Section 4 describes the findings of a qualitative survey among Dutch internet users with the goal to define their level of skills and knowledge, acceptance of and behavior towards the placing and reading of cookies. A concluding section (section 5) summarizes the main findings and identifies implications for the future policy debate.

The results show that the majority of the surveyed parties involved in behavioral advertising do not inform users about the storing of cookies or the purposes of data processing of the subsequently obtained data, neither have they obtained users' consent for the storage of cookies. The authors also found that the majority of users lack the skills and knowledge to handle cookies.

The findings critically question the wisdom of the “informed consent regime” that currently lies at the heart of Europe's ePrivacy Directive. The paper concludes with reflections about the concrete policy implications of the study, and a number of concrete suggestions of how to approach the future debate with regard to the regulation of online tracking and cookies.

The approach of the paper is original in that it combines legal analysis with two surveys: one among behavioral advertisers and one among online users. This approach permits us to better understand the efficacy of the new legal rules, to make predictions regarding the level of compliance with the new rules and identify areas in this highly topical debate that require further attention.

This paper aims to investigate the role of micro, small and medium enterprises (MSMEs) within the Canadian public procurement, by seeking to identify barriers and supporting factors of MSMEs’ participation and success in public tenders.

The empirical analysis builds on a unique survey run by the Canadian federal government, which addressed firms either participating or not participating in public tenders. Model estimation on the survey data relies on sample selection methodologies, which allow separating determinants of MSMEs’ decision to participate from determinants of success.

Results provide evidence that costs stemming from asset specificity and uncertainty (e.g. costs of bidding, requirements for participation, bundling of contracts and award rules based on minimum price) affect participation in public procurement. Within MSMEs, micro-firms are the most discouraged from participating. However, after controlling for factors affecting participation, micro-firms emerge as having a higher success rate, possibly because of high specialization and joint participation with larger firms.

Because of the cross-sectional nature of the data used for hypotheses testing, endogeneity may arise if ex post variables affect ex ante decisions. This may apply if participation in procurement feeds on success in past tenders.

Findings may inform policies for the inclusion of smaller firms in the public marketplace.

To the best of the authors’ knowledge, this study is the first attempting to disentangle determinants of participation in public tenders from determinants of success. Separating the two aspects helps fine-tune SME-friendly public procurement policies, by identifying actions that effectively facilitate success of MSMEs in public tenders.