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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.

The purpose of this paper is to expand the empirical literature on the association between non-compete agreement (NCA) enforceability and entrepreneurship by investigating how NCA policies affect different types of entrepreneurship with incorporated and unincorporated businesses.

The authors estimate difference-in-differences regressions based on individual-level data. This allows to control for heterogeneity at the individual level. Additionally, the authors provide graphical evidence using the synthetic control method (SCM).

The authors' findings show that the decrease in the enforceability of NCAs in Massachusetts resulted in a higher rate of unincorporated entrepreneurship among low-wage workers. At the same time, there was no sizable effect on the rate of incorporated entrepreneurship. For Utah, the authors' results indicate that the reform increased both types of entrepreneurship. The findings imply that states can promote entrepreneurial activity by reducing the enforceability of NCAs. The way of changing the enforceability of NCAs matters, as different provisions encourage different types of entrepreneurship in a given state.

The authors contribute to the literature on NCA enforceability effects on entrepreneurship in three ways. First, the authors utilize two quasi-experiments, the NCA policy changes in Utah in 2016 and Massachusetts in 2018, limiting NCAs to one year for all workers. Second, to the authors' knowledge, this is the first individual-level analysis that separates self-employment with incorporated and unincorporated businesses as two different types of entrepreneurship to analyze potentially heterogeneous effects of NCAs. Third, this is the first study to utilize American Community Survey (ACS) data in this literature.

External assistance is often urgently required when an area is struck by a catastrophe. Central government-oriented aid (CGA), national non-governmental organizations aid (NNA), and international humanitarian aid (IHA) are three typical aid models, and national counterpart aid (NCA) is an innovative model for post-Wenchuan earthquake recovery and reconstruction (PWERR). The purpose of this paper is to make a comparative study of the aid models in order to develop recommendations on external assistance for better post-disaster recovery and reconstruction (PDRR).

This study was performed in three steps: a case study on the NCA model during the PWERR; a documentary research on the CGA, NNA and IHA models; and a comparative analysis of the four models.

The results of the comparative study show that the NCA model is more efficient and effective than the other three typical aid models. However it must be based on the premise of a centralized government.

The NCA model contributes to disaster management in a developing country context. It develops a viable model for developing countries in coping with the catastrophe, can enhance their ability for domestic self-assistance, and has reference to the construction of national integrated disaster management systems.

This paper empirically researches the innovative NCA model, and compares it with commonly used aid models for the PDRR. Although it is a Chinese experience, the systematic inter-governmental collaboration of the NCA model has reference to other countries in disaster management.

This research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic. The authors’ objective is to encourage the practice of combining PLS-SEM and NCA as complementary views of causality and data analysis.

The authors present guidelines describing how to combine PLS-SEM and NCA. These relate to the specification of the research objective and the theoretical background, the preparation and evaluation of the data set, running the analyses, the evaluation of measurements, the evaluation of the (structural) model and relationships and the interpretation of findings. In addition, the authors present an empirical illustration in the field of technology acceptance.

The use of PLS-SEM and NCA enables researchers to identify the must-have factors required for an outcome in accordance with the necessity logic. At the same time, this approach shows the should-have factors following the additive sufficiency logic. The combination of both logics enables researchers to support their theoretical considerations and offers new avenues to test theoretical alternatives for established models.

The authors provide insights into the logic, assessment, challenges and benefits of NCA for researchers familiar with PLS-SEM. This novel approach enables researchers to substantiate and improve their theories and helps practitioners disclose the must-have and should-have factors relevant to their decision-making.

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.

In this paper, the authors aim to present a novel methodological tool – necessary condition analysis (NCA) to aid managerial psychology researchers in properly testing necessity statements.

The authors employ NCA to analyze whether three basic psychological needs for autonomy, competence and relatedness are necessary for work engagement.

The authors illustrate the value and application of NCA by revealing that basic psychological needs for autonomy, competence and relatedness are necessary for work engagement, as proposed by self-determination theory (SDT).

The authors illustrate the importance of the sufficiency-necessity distinction and the relevance of a necessity logic in managerial psychology. They also discuss NCA's methodological implications for managerial psychology research, theory and practice.

The purpose of this paper is to compare three cultural approaches from anthropology and business literature: National Culture Approach (NCA), Corporate Culture Approach (CCA), and Transactional Culture Approach (TCA). The author grounds these approaches in different epistemological standpoints and locate them at different positions on the unity-infinity continuum. The author outlines their strengths and weaknesses, and offer the Douglasian Cultural Framework (DCF) as a transactional tool for cultural sense-making.

Reviewing conventional NCA/CCA frameworks reveals that while their simplicity renders them attractive to users, their assumption of stable, internally homogenous and coherent cultures has its limitations. Conversely, reviewing anthropology-based TCA literature reveals that while TCA overcomes some limitations of NCA/CCA frameworks, it also has its weaknesses – it overemphasizes “self-interest” as the preferred form of rationality, and some TCA scholars render cultural comparisons impossible by supporting cultural infinity. Finally, examining DCF reveals that it overcomes some limitations of NCA/CCA frameworks, while simultaneously advancing TCA. Nevertheless, DCF too has limitations which are also exposed.

Most NCA/CCA scholars support the “unity” argument of culture, while some transactional scholars support the “infinity” argument. DCF finds a perfect balance between the two through “constrained relativism”. Also, since DCF focuses on human transactions, it is not limited in its applications to specific levels and scales. It can therefore be applied to scenarios spanning across levels and scales. Finally, it offers a compromise between the differentiation and fragmentation perspectives of corporate culture, and brings out the best of the interpretivist and post-modernistic traditions.

The exposition of DCF opens up new avenues for research which have hitherto remained unexplored for want of appropriate frameworks, for instance the UN Peace Corps., NATO, Medecins Sans Frontiers, etc.

By focusing on human transactions, the paper allows for a much more dynamic conceptualization of culture as compared to static NCA/CCA frameworks.

This paper discusses flip chip on FR‐4 and ceramics using non‐conductive adhesive (NCA), anisotropic conductive film (ACF), or anisotropic conductive paste (ACP). Several ACF and ACP materials with different types of adhesive resin and conductive particles and one NCA material were evaluated. Flip chips were assembled on test vehicles for temperature cycling and high‐temperature high‐humidity tests. The reliability performance of the processes was compared. Flip chip processes using NCA, ACF, or ACP could give satisfactory reliability and high assembly yield for some applications, when the bonding parameters were optimised.