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Since its introduction by Chari, Kehoe, and McGrattan (2007), Business Cycle Accounting (BCA) exercises have become widespread. Much attention has been devoted to the results of such exercises and to methodological departures from the baseline methodology. Little attention has been paid to identification issues within these classes of models. In this chapter, the authors investigate whether such issues are of concern in the original methodology and in an extension proposed by Šustek (2011) called Monetary Business Cycle Accounting. The authors resort to two types of identification tests in population. One concerns strict identification as theorized by Komunjer and Ng (2011) while the other deals both with strict and weak identification as in Iskrev (2010). Most importantly, the authors explore the extent to which these weak identification problems affect the main economic takeaways and find that the identification deficiencies are not relevant for the standard BCA model. Finally, the authors compute some statistics of interest to practitioners of the BCA methodology.

A study of two approval program dealers was conducted by the Collection Development Department at California State University, Los Angeles. The purpose of the study was to compare the length of time it takes for each dealer to supply current American imprints to the library after publication, using a predetermined set of subject guidelines. While the timeliness of the materials supplied was the primary purpose of the study, other factors, such as number of titles supplied under the same set of subject guidelines, discount, charges for postage and handling, etc., were also considered. Based on these findings, a determination was to be made as to which dealer would supply approval program materials to the library in the future.

The inevitable change orders in construction projects have either direct or indirect impacts on a project’s duration. Reduced productivity is one of the indirect consequences that lead to major delays in the completion of the project. The purpose of this study is to develop a model that could quantify the impact of change orders on labor productivity and result in the establishment of policies to lessen their effects.

A model was developed to analyze the effects of change orders on labor productivity, then policies for managing their impacts on productivity and project duration were established. A water treatment case study was selected to serve as the scenario in which to implement and evaluate the model and policies.

The results of this study indicated that pressure to adhere to a schedule initially leads to an increase in labor productivity, but it is often followed by a significant drop that is a result of employee frustration. It was concluded that the pressure can be positive if it is applied for a short period of time; however, it continues for a significant length of time, the duration of the project will increase appreciably.

The proposed model can be implemented to identify the factors that affect labor productivity in a construction project. Its utilization will also help project managers assess when change orders occur and determine, which policies will be most effective in optimizing labor productivity.

This chapter summarizes many conceptual, theoretical, and methodological topics related to studying group communication using qualitative research methods. First, it explains five of the most common theoretical frameworks used by group communication scholars (i.e., symbolic convergence theory, bona fide group perspective, unobtrusive control theory, dialectical theory, and structuration theory). Next, it discusses best practices and issues related to different data collection methods including observations, historical case studies, ethnographies, focus groups, and interview studies. Then, the chapter describes two primary data analytic tools, various iterations of constant comparison method, and qualitative content analysis. Finally, the chapter describes several innovative qualitative methods that may lead to new understandings of group communication processes including discourse analysis and discourse tracing, as well as new approaches to collecting qualitative network data and mediated data. The chapter concludes with a discussion of future research suggestions.

This paper aims to quantify the impact of craft worker shortage on construction project safety performance.

A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects.

The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004).

The projects used to construct the database are heavily weighted towards industrial construction.

There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce.

The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.

In construction projects, engineering variations are very common and create breeding grounds for opportunistic claims. This study investigates the complementary effect between an inspection mechanism and a reputation system in deterring opportunistic claims, considering an employer with limited inspection accuracy and a contractor, which can be either reputation-concerned or opportunistic.

This paper applies a signaling game to investigate the complementary effect between the employer's inspection and a reputation system in deterring the contractor's possible opportunistic claim, considering the information-flow influence of claiming prices.

This study finds that in the exogenous-inspection-accuracy case, the employer does not always inspect the claim. A more stringent reputation system complements a less accurate inspection only when the inspection cost is lower than a threshold, but may decline the employer's surplus or social welfare. In the optimal-inspection-accuracy case, the employer always inspects the claim. However, only a sufficiently stringent reputation system can guarantee the effectiveness of an optimal inspection in curbing opportunistic claims. A more stringent reputation system has a value-stepping effect on the employer's surplus but may unexpectedly impair social welfare, whereas a higher inspection cost efficiency always reduces social welfare.

This article contributes to the project management literature by combing the signaling game theory with the reputation theory and thus embeds the problem of inspection mechanism design into a broader socio-economic framework.

Existing reviews of research on voluntary childlessness generally take the form of narrative summaries, focusing on main topics investigated over time. In this chapter, the authors extend previous literature reviews to conduct a systematic review and content analysis of socio-historical and geopolitical aspects of knowledge production about voluntary childlessness. The dataset comprised 195 peer-reviewed articles that were coded and analysed to explore, inter alia: the main topic under investigation; country location of authors; sample characteristics; theoretical framework and methodology. The findings are discussed in relation to the socio-historical contexts of knowledge production, drawing on theoretical insights concerned with the politics of location, representation and research practice. The shifts in the topics of research from the 1970s, when substantial research first emerged, uphold the view of voluntary childlessness as non-normative. With some regional variation, knowledge is dominated by quantitative, hard science methodologies and mostly generated about privileged, married women living in the global North. The implications of this for future research concerned with reproductive freedom are outlined.

Recent literature on nonprofit boards of directors has extensively investigated the composition, role, responsibilities, and characteristics of boards. Given the growing number of studies on nonprofit boards, which added new impulse to the debate on the role and characteristics of these players, it is time to analyze the state of the art and systematize the current knowledge. On the other hand, despite the presence of some literature reviews, a research comparing the debate among the nonprofit, private, and public sectors is still lacking. Using Gabrielsson and Huse’s (2004) framework, we wanted to identify factors that can influence research on nonprofit boards and compare our results with existing studies on private and public sector.

We conduct a systematic literature review, selecting empirical articles published in international scientific journals from 1992 to 2012.

We found similarities and differences in relation to research on boards among sectors. As a common result, we found that evolutionary studies still remains a neglected area in all of three realms. Finally, whereas input–output studies prevail in the private sector and contingency studies prevail in the public sector, behavioral studies prevail in the nonprofit sector, demonstrating, also, that the sector itself can make a difference in the board’s research.

This literature review provides some suggestion for further research on boards for all of three sectors. For example, we suggest complementing research on boards on all three sectors, especially in relation to evolutionary studies.

This paper fills the need to clarify the status of research on nonprofit boards, in order to address scholars in the understanding of the phenomenon.