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In this paper, we investigate the information content of non-current assets (NCA) among firms listed on the main board of Bursa Malaysia. Specifically, we investigate the information content of tangible and intangible NCA during the economic crisis period of 1997–1998. Our empirical analysis uses time-varying and fixed effects models for the period 1995–1999. We measure information content based on the association of analysts’ earnings forecasts errors (AFE) with both capitalized tangible and intangible NCA. We find evidence of higher information content in tangible NCA compared to intangible NCA during the Asian economic crisis period of 1997–1998. Our evidence is consistent with the assumption that tangible assets are more reliable compared to intangible assets for prediction of expected cash flows during economic crisis periods.

Necessary conditions represent the factors that cannot be compensated but must be present to aim the desired outcome; if a necessary condition is absent, the outcome will not exist. This logic of necessity causality differs from the conventional logic that has been evaluated by the methods drawing the lines “through the middle of the data” (e.g., regression and SEM). The authors argue that the empirical investigation of necessity causality has been largely ignored in hospitality and tourism literature although the notion of necessary causes for achieving certain outcomes is widespread throughout the studies. Thus, the authors introduce “necessary condition analysis” (NCA) as a suitable analytical method to identify necessary conditions in hospitality and tourism research. This chapter provides details on the underlying logic, key advantages, and an illustrative example of NCA. The chapter concludes by offering a few recommendations for future NCA applications in hospitality and tourism research.

In this chapter, we present our ongoing efforts in developing and sustaining interdisciplinary STEM undergraduate programs at North Carolina A&T State University (NCA&T) – a state-supported HBCU and National Science Foundation (NSF) Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) Institutional Implementation Project grantee. Through three rounds of NSF HBCU-UP implementation grants, a concerted effort has been made in developing interdisciplinary STEM undergraduate research programs in geophysical and environmental science (in round 1), geospatial, computational, and information science (in round 2), and mathematical and computational biology (in round 3) on NCA&T campus. We first present a brief history and background information about the interdisciplinary STEM undergraduate research programs developed and sustained at NCA&T, giving rationales on how these programs had been conceived, and summarizing what have been achieved. Next we give a detailed description on the development of undergraduate research infrastructure including building research facilities through multiple and leveraged funding sources, and engaging a core of committed faculty mentors and research collaborators. We then present, as case studies, some sample interdisciplinary research projects in which STEM undergraduate students were engaged and project outcomes. Successes associated to our endeavor in developing undergraduate research programs as well as challenges and opportunities on implementing and sustaining these efforts are discussed. Finally, we discuss the impact of well-structured undergraduate research training on student success in terms of academic performance, graduation rate and continuing graduate study, and summarize many of the learnings we have gained from implementation and delivery of undergraduate research experiences at HBCUs.

Purpose – This chapter aims to provide a cross-section of some social, political, cultural, and economic factors that contribute to the conditions of illness, specifically malaria, in an area of Tanzania where both land and population have been marginalized to varying degrees over time. It also suggests the relevance of such considerations in the planning and implementation of public health interventions in the region.

Methodology/approach – This chapter elaborates upon a case study conducted by the author in the Ngorongoro District in Tanzania in 2006. A political ecology framework is used to guide the discussion.

Findings – Malaria in the Ngorongoro Maasai community can be more fully understood by incorporating critical social science perspectives into health-related analyses, by allowing for a greater appreciation of the complex history behind current configurations of infrastructure and sociopolitical interactions in the region. Assuming that equity is of concern, this appreciation can contribute to ensuring that all populations in the country have the opportunity to benefit from the public health momentum in Tanzania.

Contribution to the field – Much attention is justifiably directed toward the social and economic consequences of infectious diseases in developing countries. Tanzania alone accounts for a large proportion of malaria cases and deaths worldwide. This chapter recognizes that malaria is one of the many elements in an ecological system continually integrating cues from nature and society, and uses that framework to demonstrate the importance of qualitative analysis in view of the copious international funding and assistance for control measures.

Before 2011, student performance rates in college algebra and trigonometry at North Carolina A&T State University (NCA&TSU) were consistently below 50%. To remedy this situation, the Mathematics Department implemented the math emporium model (MEM) instructional method. The underlying principle behind MEM is that students learn math by doing math (Twigg, 2011). The MEM requires students to work on math problems and spend more time on material that they do not understand while allowing them to spend less time on material that they do understand. Also, students receive immediate feedback on problems from teaching assistants as they work through their online assignments. After implementing the MEM, student pass rates improved for both the MEM and traditional sections. Data to date also show that female students outperform male students in both instructional models. Further study is needed to determine the factors that have caused improvement in pass rates in addition to the implementation of the MEM. Some important lessons learned by the NCA&TSU math faculty from implementing the MEM into the college algebra and trigonometry courses are that successful implementation requires a long-term commitment, internal and external collaborations, and the collective ability to determine what works for the local setting.