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The impact of the “Great Recession” on inequality is unclear. Because the crises in the housing and stock markets and mass job loss affect incomes across the entire distribution, the overall impact on inequality is difficult to determine. Early speculation using a variety of narrow measures of earnings, income, and consumption yield contradictory results. In this chapter, we develop new estimates of income inequality based on “more complete income” (MCI), which augments standard income measures with those that are accrued from the ownership of wealth. We use the 1989–2007 Surveys of Consumer Finances, and also construct MCI measures for 2009 based on projections of assets, income, and earnings.

We investigate the level and trend in MCI inequality and compare it to other estimates of overall and “high incomes” in the literature. Compared to standard measures of income, MCI suggests higher levels of inequality and slightly larger increases in inequality over time. Several MCI-based inequality measures peaked in 2007 at their highest levels in 20 years. The combined impact of the Great Recession on the housing, stock, and labor markets after 2007 has reduced some measures of income inequality at the top of the MCI distribution. Despite declining from the 2007 peak, however, inequality remains as high as levels experienced earlier in the decade, and much higher than most points over the last 20 years. In the middle of the income distribution, the declines in income from wealth after 2007 were the result of diminished value of residential real estate; at the top of the distribution, declines in the value of business assets had the greatest impact.

We also assess the level and trend in the functional distribution of income between capital and labor, and find a rising share of income accruing to real capital or wealth from 1989 to 2007. The recent economic crisis has diminished the capital share back to levels from 2004. Contrary to the findings of other researchers, we find that the labor share of income among high-income groups declined between 1992 and 2007.

This paper aims to assess the relationships between foreign direct investment (FDI) and domestic entrepreneurship (DE) with the moderating role of formal institutions (FI), logistics and information communication technology (ICT) capacities.

The study is based on unbalanced panel data of 53 countries from 2006 to 2020 at different stages of development, using a fuzzy-set qualitative comparative analysis.

The research results indicate that FDI directly affects the establishment of domestic entrepreneurship. Additionally, FDI firms via the buffer mechanism of FI, logistics and ICT development for DE. Through its adjustment to the quality of institutions, logistics and ICT infrastructure, GDP per capita determines the direction of FDI's impact on DE.

The study's findings grant empirical evidence and theoretical contributions to the relationship between FDI and domestic entrepreneurial development through the buffering mechanism of FI, logistics and the role of ICT.

In this volume, we have studied the cyclical behavior of numerous business cycle indicators from the U.S. transportation sector and studied how they are related to those of the overall economy. Our study began with the conceptualization of what constitutes the transportation services sector, identifying relevant monthly indicators from the private sector and the government, and finally putting them together to construct a monthly measure of output of the transportation services sector. The challenge was to develop an indicator that will be available promptly soon after a month with other widely reported monthly indicators such as the index of industrial production, Institute for Supply Management (ISM) surveys, CPI, index of leading indicators, etc. and is not subject to much data revisions. Since monthly activity measures of major transportation services sectors such as trucking and railroads are produced by private membership organizations, use of these data in the production of official statistics in the public sector needed skillful persuasion of government officials. Bureau of Transportation Statistics (BTS) releases the preliminary number for the latest month and replaces the number for the oldest preliminary month with a revised number. All other revisions are held until an annual comprehensive revision of the transportation services output (TSI). It is gratifying to see that the arrangement of cooperation between the transportation department and these private service organizations are working out seamlessly, and TSI continues to get the media attention.

This study aims to explore how professional–cultural knowledge is reciprocally shared between experienced expatriates and novice local nurses. To address this, the situated learning in practice lens is combined with social exchange lens.

An interpretive case study methodology enabled an exploratory approach into the knowledge-sharing practices between experienced expatriates and novice local nurses in Saudi Arabia.

Insights gained in the fieldwork suggest that professional–cultural knowledge sharing (KS) often occurred through three primary practices, namely, developing a professional–cultural meaning, forming clinical competency development opportunities and intervening in unfamiliar professional–cultural situations. In addition, two micro-level conditions shaped the reciprocity of professional–cultural KS practices between expatriate and local nurses, which were individual differences and situational conditions.

This study advances and improves the understanding of two intertwined but rarely studied aspects of knowledge-sharing practices. The exploratory lens sought and gained rich insights into the knowledge-sharing practices between experienced and novice individuals and expatriate and local individuals.

This paper presents a model relating Nagle and Holden's factors of price sensitivity to expected price and willingness to pay. This work presents various perspectives on price elasticity/sensitivity, empirically tests aspects of the influence of perception of the offer (product/service) on expected price, and illustrates how the pricing methods developed within provide quantitative precision to the practice of price setting by capturing perceptions important to consumers.

The authors used a within‐subjects design to study four brands in two product categories, automobiles and computers. Model evaluation employs ordinary least squares regression.

Ten qualitative factors were studied. Overall, the results show four factors predict expected price for the target market, product and brand. The factors are perceived substitutes, quality, fairness, and unique value.

This research makes the following contributions. First, the authors are able to quantify ten factors of price sensitivity relevant to the evaluation of product pricing. Second, they are able to identify the relevant factors of price sensitivity for two product categories specific to a given target market. Third, they provide a data‐driven model that enables translation of pricing variables into quantitative values to arrive at the price of a product. The major theoretical contribution of this paper is to show that Nagle and Holden's ten factors of price sensitivity may act in the following way: the change in product/service perception may influence expected price, and then the change in expected price influences willingness to pay. The empirical focus of the current research is on the first of these two changes.

Self-report questionnaires are the predominant method used in human resource management (HRM) research to assess employees’ work-related psychological constructs (e.g., processes, states, and attributes). However, this method is associated with significant shortcomings, including the introduction of self-serving bias and common method variance when used exclusively. In this chapter, the authors challenge the assumption that individuals themselves are the only accurate source of the self-focused information collected in HRM research. Instead, the authors propose that other-ratings – ratings of a target individual that are provided by a workplace observer, such as a coworker, supervisor, or subordinate – can accurately assess commonly measured work-related psychological constructs. The authors begin by explaining the advantages of other-ratings for HRM research and practice, reviewing the history of other-ratings and how they emerged in the personality and person-perception literature, and outlining how they have been used in HRM research to date. Then, the authors build upon Funder’s (1995) realistic accuracy model to develop a theoretical argument detailing why workplace others should be able to accurately judge how another employee thinks and feels about work. Next, the authors highlight existing evidence in the literature on the accuracy of other-ratings and present the results of a preliminary meta-analysis on the ability of other-ratings to predict self-ratings of work-related psychological constructs. Finally, the authors discuss potential moderators of other-rating accuracy and reflect on a number of practical considerations for researchers looking to use other-ratings in their own work. The authors intend for this chapter to meaningfully contribute to the larger conversation on HRM research methods. Other-ratings are a simple, yet powerful, addition to the methodological toolkit of HRM researchers that can increase flexibility in research design and improve the overall quality of research.

When considering a price decrease in response to competitive pressures or stagnating demand, management may ask how much additional volume must be sold at the new price to match the current profit level. This “iso‐profit” pricing problem has been studied extensively for single items manufactured using one resource. This paper solves three realistic extensions of the problem: when two or more items share a resource, when multiple items share multiple resources, and when resource vendors offer quantity discounts. Findings are summarized in 12 points, many of which are counterintuitive.

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a framework to guide designers in creating ITTSs.

The main purpose of the study is to promote consideration of the issues and approaches available for costing sustainable buildings with a view to minimising cost overruns, occasioned by conservative whole-life cost estimates. The paper primarily looks at the impact of adopting continuity in whole-life cost models for zero carbon houses.

The study embraces a mathematically based risk procedure based on the binomial theorem for analysing the cost implication of the Lighthouse zero-carbon house project. A practical application of the continuous whole-life cost model is developed and results are compared with existing whole-life cost techniques using finite element methods and Monte Carlo analysis.

With standard whole-life costing, discounted present-value analysis tends to underestimate the cost of a project. Adopting continuity in whole-life cost models presents a clearer picture and profile of the economic realities and decision-choices confronting clients and policy-makers. It also expands the informative scope on the costs of zero-carbon housing projects.

A primary limitation in this work is its focus on just one property type as the unit of analysis. This research is also limited in its consideration of initial and running cost categories only. The capital cost figures for the Lighthouse are indicative rather than definitive.

The continuous whole-life cost technique is a novel and innovative approach in financial appraisal […] Benefits of an improved costing framework will be far-reaching in establishing effective policies aimed at client acceptance and optimally performing supply chain networks.

The continuous whole-life costing pioneers an experimental departure from the stereo-typical discounting mechanism in standard whole-life costing procedures.