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The chapter aims to examine the interrelationships between aviation and Asian inbound tourism demand to Australia. First, the chapter introduces key factors in the economics of tourism demand and the empirical work in assessing the aviation–tourism demand relations. Based on 2005–2016 annual time series data across 12 of Australia’s main Asian markets, a dynamic panel regression model is applied to empirically examine the factors influencing tourism demand including exchange rates and disposable income. Using a generalized method of moments approach, the study accounts for the endogenous relations between levels of international air services availability (proxied by seat capacity) and tourism demand. The results suggest, on average, the generative effect of aviation exists albeit with small magnitude (0.1–0.5% increase in tourism demand per 100,000 additional seat capacity). The chapter concludes with a discussion on the shifting inbound tourism balance toward Asia and the implications for aviation policy to meet the high Asian tourism growth targets.

The newsvendor problem is fundamental to many operations management models. The problem focuses on the trade-off between the gains from satisfying demand and losses from unsold products. The newsvendor model and its extensions have been applied to various areas, such as production plan and supply chain management. This chapter examines the study about newsvendor problem. In this research, there is a review of the contributions for the multiproduct newsvendor problem. It focuses on the current literature concerning the mathematical models and the solution methods for the multiitem newsvendor problems with single or multiple constraints, as well as with the risks. The objective of this research is to go over the newsvendor problem and bring into comparison different newsvendor models applied to the flower industry. A few case studies are described addressing topics related to the newsvendor problem such as discounting and replenishment policies, inventory inaccuracies, or demand estimation. Three newsvendor models are put into practice in the field of flower selling. A full database of the flowers sold by an anonymous retailer is available for the study. Computational experiments for practical example have been conducted with use of the CPLEX solver with AMPL programming language. Models are solved, and an analysis of different circumstances and cases is accomplished.

We explore: (1) the effects of work unit pressure on employees’ satisfaction with work–family balance (S-WFB); (2) the effects of individual-level job and family pressures on S-WFB; and (3) the extent to which schedule control moderates the negative influences of work unit pressure and other demands on employee S-WFB – among employees in a large healthcare system.

The data come from employee responses to the baseline survey (n = 3,950) administered in September 2012, and from administrative unit-level data (445 units) showing the extent to which units were “on-budget” (within 5 percent), “over-budget,” or “under-budget.”

Practices associated with cost containment in a healthcare system of 10,000 employees in the United States appear to have a negative impact on employee S-WFB. Working in a unit that is “under-budget” is negatively associated with individual S-WFB. Employees with high job demands, longer hours, responsibilities for children and/or adults, also reported lower S-WFB than employees without these characteristics.

Research is limited by lack of measures specific to healthcare workers, the use of baseline data only, and sample size for some of the analyses.

Schedule control makes a difference even under high work pressure. The lack of interactions among variables that typically moderate relationships between work pressures and S-WFB suggests the need for more support for healthcare workers under the strain of cost containment.

We include an objective indicator of unit-level job pressures on individual employees, thus identifying specific ways that work stress affects S-WFB.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Purpose – This research examined the effects of gender, home demands, and work demands on work–family conflict (WFC) for faculty at two liberal arts colleges.

Methodology – A work climate survey was sent to the entire population of 341 tenured and tenure-track faculty at two small highly selective private liberal arts colleges, one formerly all male and the other formerly all female. The response rate was 70%, yielding 237 respondents. Faculty were compared by gender using t-tests and by gender and discipline using analysis of variance (ANOVA). Multiple regression was used to examine factors contributing to faculty WFC.

Findings – Gender, rank, and department climate were significantly associated with WFC. In contrast, caregiving responsibilities, college of employment, and discipline did not have significant relationships with WFC. Controlling for caregiving, employment at a formerly all-male college, working in a STEM discipline, and department climate did not reduce the effect of gender on WFC. Women faculty reported more WFC than their male counterparts, while full professors reported less than their junior colleagues. Good department climate overall as well as high scores on all three subscales individually (affective, instrumental, and cognitive) reduced WFC.

Research limitations – This research project is a cross-sectional, observational study, which limits the interpretation of direction of effect in most cases.

Practical implications – Results suggest that more supportive department climates could reduce WFC for faculty struggling to balance their personal and professional lives.

The lens used by the courts and much of the antitrust literature on predatory selling and/or buying is based on partial equilibrium methodology. We demonstrate that such methodology is unreliable for assessments of predatory monopoly or monopsony conduct. In contrast to the typical two-stage dynamic analysis involving a predation period followed by a recoupment period, we advance a general equilibrium analysis that demonstrates the critical role of related industries and markets. Substitutability versus complementarity of both inputs and outputs is critical. With either monopolistic or monopsonistic market power (but not both), neither predatory overselling nor predatory overbuying is profitably sustainable. Two-stage predation/recoupment is profitable only with irreversibility in production and cost functions, unlike typical estimated forms from the production economic literature. However, when the market structure admits both monopolistic and monopsonistic behavior, predatory overbuying can be profitably sustainable while overselling cannot. Useful distinctions are drawn between contract versus non-contract markets for input markets.

Forecasting is a vital part of hospitality operations because it allows businesses to make imperative decisions, such as pricing, promotions, distribution, scheduling, and arranging facilities, based on the predicted demand and supply. This chapter covers three main concepts related to forecasting: it provides an understanding of hospitality demand and supply, it introduces several forecasting methods for practical application, and it explains yield management as a function of forecasting. In the first section, characteristics of hospitality demand and supply are described and several techniques for managing demand and supply are addressed. In the second section, several forecasting methods for practical application are explored. In the third section, yield management is covered. Additionally, examples of yield management applications from airlines, hotels, and restaurants are presented.