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The purpose of this paper is to identify pre‐loan factors that ultimately impact post‐loan risk ratings of small business in southern Arkansas.

Ordinary least squares linear regression analysis is conducted on small business data to determine which factors contribute to higher post‐loan credit risk ratings.

Businesses with records of loan repayment and personal financial assets at stake are more likely to be assigned better credit risk ratings. Additional analysis indicates that businesses with no past due collections or judgments, having good trade references, a profitable business, and not operating in a volatile industry are much more likely to result in loans ultimately receiving good post‐loan performance marks and lower risk ratings.

This paper has a small sample of firms in a historically economically depressed region. While the relevant factors seem intuitive they may not apply to other regions and/or larger businesses.

Results of this paper may be interesting to loan officers of banks and other lenders, particularly in this region given the current financial crisis.

This paper is the first to analyze actual data from small businesses in southern Arkansas. The results may help the organizations attempting to aid economic development in this region.

This paper examines coverage of America’s death penalty in “mainstream” and “radical” newspapers in the 1970s. That decade was a crucial period for capital punishment, and newspapers during that time helped set the trajectory of the public’s awareness and understanding for the remainder of the twentieth century. While scholars have recognized the role played by newspaper framing of capital punishment, most have limited their consideration to the mainstream press. We broaden the consideration to the radical press and note similarities in the treatment of the moral status of the death penalty across newspapers of different types. We find that the radical press was more likely to portray it as an instrument of racial and class oppression. In addition, long before mainstream papers attended to questions about the reliability of the death penalty system, radical papers were calling attention to the number of innocent people who were erroneously sentenced to death. Like dissenting opinions in judicial decisions, the radical press highlighted issues not emphasized in mainstream papers and foresaw concerns that would become important in the death penalty debate a decade or two later.

This paper suggests that motives for engaging in affiliative‐promotive “helping” extra‐role behavior is related to cross‐cultural differences. The cultural dimensions of in‐group collectivism, uncertainty avoidance, performance orientation, and humane orientation, and their differential effect on helping extra‐role behavior in a diverse workforce are examined. Theoretical implications provide guidance for future empirical research in this area, and provide managers with more realistic expectations of employee performance in the workplace.

The purpose of this paper is to describe a process for extracting and matching author names from large collections of bibliographic metadata using the Hadoop implementation of MapReduce. It considers the challenges and risks associated with name matching on such a large‐scale and proposes simple matching heuristics for the reduce process. The resulting semantic graphs of authors link names to publications, and include additional features such as phonetic representations of author last names. The authors believe that this achieves an appropriate level of matching at scale, and enables further matching to be performed with graph analysis tools.

A topically‐focused collection of metadata records describing peer‐reviewed papers was generated based upon a search. The matching records were harvested and stored in the Hadoop Distributed File System (HDFS) for processing by hadoop. A MapReduce job was written to perform coarse‐grain author name matching, and multiple papers were matched with authors when the names were very similar or identical. Semantic graphs were generated so that the graphs could be analyzed to perform finer grained matching, for example by using other metadata such as subject headings.

When performing author name matching at scale using MapReduce, the heuristics that determine whether names match should be limited to the rules that yield the most reliable results for matching. Bad rules will result in lots of errors, at scale. MapReduce can also be used to generate or extract other data that might help resolve similar names when stricter rules fail to do so. The authors also found that matching is more reliable within a well‐defined topic domain.

Libraries have some of the same big data challenges as are found in data‐driven science. Big data tools such as hadoop can be used to explore large metadata collections, and these collections can be used as surrogates for other real world, big data problems. MapReduce activities need to be appropriately scoped so as to yield good results, while keeping an eye out for problems in code which can be magnified in the output from a MapReduce job.

Using an event study approach, this analysis examines whether or not intracompany mergers of subsidiary banks by multibank holding companies result in significant, positive, abnormal stock returns. Such a result implies that investors expect this type of merger will improve future profitability, presumably by permitting efficiencies to be realized or revenues to increase. The analysis of the stock returns for a sample of 39 consolidating companies indicates that this is the case. These findings appear to be quite robust. Furthermore, the findings imply that permitting holding companies with interstate operations to consolidate their banking units across state lines could yield efficiencies as proponents of interstate branching claim.

One of the main obstacles facing project-based learning (PBL) adoption relates to a lack of understanding by teachers and students in the roles they are required to play in the learning process. This study aims to address this obstacle, so as to better promote regular adoption of PBL pedagogy in educational institutions.

The strategy was to undertake an in-depth case study of PBL courses taught in UNI-X’s undergraduate curriculum. The case study approach is particularly appropriate for this exploratory study because it allows to capture the organizational dynamics of the phenomenon better and also its ability to explain the phenomenon based on interpretation of data.

This paper presents an empirical study on the role perspective of PBL in a collaborative project environment. By drawing upon a case study of UNI-X, the authors argue that a teacher plays the roles of a designer, champion, facilitator and manager in a PBL course. To ensure that learning is effective, students should play the roles of a self-directed learner and a warrior when completing their projects. It is clear that role ambiguity and role conflict could occur in PBL courses and might even impact the effectiveness of student learning.

For researchers, this paper contributes to the PBL literature by introducing a role perspective of PBL. This study identifies a list of roles a teacher and a student could potentially play in a PBL setting. Such understanding could serve as a reminder for a teacher and a student for the roles they need to play in achieving learning outcomes of a PBL course.

Although it is clear that there are many benefits of academic–industry partnership through project-based learning (PBL) courses offered by universities, however, there are challenges in establishing such partnerships that if not addressed, may result in either failure of such collaboration or an unpleasant experience for parties involved. Accordingly, this study aims to address this knowledge gap in the PBL literature by identifying the essence of partnership management and offering insights to managing such partnerships effectively.

This study aims to develop a framework that highlights the essence of partnership management in a PBL setting and validate the framework by conducting a focus group study on a university in Singapore (UNIS)’s PBL programmes called UNIS-X and UNIS-XO.

The results suggest that the key features of partnership management include a value proposition, depth of collaboration, knowledge creation and exchange and continuous feedback. In addition, the findings offer useful insights to managing effective partnerships when engaging industry partners in a PBL programme.

For researchers, this paper contributes to the PBL literature by identifying and validating the key features of effective partnerships in PBL. This serves as one of the first exploratory and validation studies in examining key features of partnership in the PBL literature. For educators, this study offers useful insights to understanding effective partnership management when engaging industry partners in a PBL course. With the knowledge, educators can devise useful actions to ensure these features of a partnership are established and maintained throughout the project.