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The primary purpose of this paper is to compare time availability and its allocation amongst Arts students. In addition it aims to match time availability and use with informants' resource preferences and the variables of language background and residential status.

A sample of 109 students completed quantitatively‐based electronic and paper‐copy surveys. Empirical data from primary informants form the basis of analysis.

The paper finds that over 90 per cent of informants have non‐study commitments and over half have commitments of six or more hours per week. The largest single group (35 per cent) has obligations of six to 14 hours per week. There is only a weak correlation between a higher number of commitments a lower amount of “out‐of‐class” time to engage with study obligations. Conversely, fewer extra‐curricular obligations does not automatically lead to a higher number of hours devoted to study. Differences in resource use are small: paper copy resources are universally popular, regardless of time commitments and allocations. Non‐English‐speaking background and international students tend to have fewer non‐study commitments and devote more time to study in general than English‐speaking background and local informants.

Research covers one of full‐time student informants' four units and does not elicit responses from all units studied by informants.

While employment has been examined as a factor affecting student performance and time availability, few studies have matched time availability and declared time allocations to study. Further, time availability as a key feature of academic study is matched against variables highly relevant to today's student populations: resource mode use; language background; and residential status.

Given the increasing demands placed on a sport event workforce in servicing the needs of spectators, to attract and recruit volunteers to the industry, it is important for sport event managers to know what is driving how much time volunteers allocate to an event. The purpose of this paper is to investigate the individual and macro-level factors influencing the allocation of time to volunteer at sport events.

Survey data were collected from volunteers at 25 sport events (n=2,303). Multi-level modelling was used to identify common effects controlling for event differences.

Male gender significantly influences time allocated to an event at the individual level. At the macro-level, the number of local inhabitants has a significant negative effect whereas the status of an international event and duration contribute positively to time allocation.

The results provide clear evidence that macro-level variables can stimulate interest in event volunteering opportunities.

This paper uses a multi-level approach to assess the influence of micro- and macro-level variables on time allocation by sport event volunteers. Using this approach, event heterogeneity can be controlled.

The purpose of this paper is to examine how nutritional concerns, luxurious tastes, and the value of time affect time allocation decisions for food preparation.

A time allocation model is developed and tested with Tobit and Heckman's sample selection models using the 2003‐2007 American Time Use Survey data.

Individuals concerned more with nutrition or price than luxury devote more time to preparing food‐cooked‐at‐home. High family income and long hours worked increase time allocated to food‐away‐from‐home, indicating that a preference for luxury and the opportunity cost of time outweigh nutritional concerns. High education reduces time spent preparing food‐cooked‐at‐home, yet increases both participation in this activity and time spent obtaining food‐away‐from‐home, suggesting that a preference for luxury and the opportunity cost of time dominate nutritional preference. Time allocation decisions on food preparation vary greatly by race and ethnicity.

The results of this study confirm that the time allocation decisions regarding food preparation are largely affected by an individual's luxury preference, nutritional consciousness, and the value of time, all of which are influenced by education. The findings from this study indicate factors that influence consumers' time allocation decisions regarding food choice and their current food preparation behavior, and thus provide useful insights to nutritionists, dietitians, health practitioners, and policy makers for finding better ways to improve nutritional education, food choices and dietary habits that promote healthier diets and eating habits.

This paper, from the perspective of based view of dynamic system, aims to take the family enterprise as a sample to articulate how the speed of institutional change affects the entrepreneur’s spirit collocation of family enterprises and investigate the moderating effects of the scale of enterprises as well.

This paper uses survey database from Chinese research of private enterprise group in 2010 with the ninth national large-scale private entrepreneurs, and the legal source of data comes from research center for Chinese family firm of Sun Yat-Sen University. A total of 4,900 questionnaires are issued, 4,614 are recovered and the total recovery rate is 94.16 per cent. In this paper, STATA12.0 is used for data processing and basic regression testing. To overcome the possible existence of the different variance problem, the authors use the feasible generalized least squares to estimate the model.

The speed of institutional change will lead to the reduction of unproductive activities and the increase of productive activities in the area where the speed of institutional change is slow. Meanwhile, the scale of enterprise can reverse the negative relationship between the speed of institutional change and unproductive activities. The speed of institutional change will lead to the reduction of unproductive activities and the increase of productive activities in the area where the speed of institutional change is fast. Meanwhile, the scale of enterprises can reverse the positive relationship between the speed of institutional change and the unproductive activities.

It can be concluded that because of the difference of the regional market, a positive U-type reflects the relationship between the speed of institutional change and the entrepreneur’s allocation of entrepreneurship in family firms, whereas the scale of enterprises plays a key role of nonlinear regulation. This research has a certain theoretical value and practical significance on the understanding of how family firms make strategic decisions in response to institutional change and it can further enrich the research results of entrepreneurship allocation theory and institutional change theory.

In a manufacturing system, time performances are measures of system response speed to external influences. This speed depends on the resource allocation process (materials, equipment, labour) which is driven by finished‐product forecasts. Describes two essential steps, in order to develop a model for evaluating time performances which is able to detect crucial resources. The first step is represented by analysing forecast characteristics; the second step is expressed by a definition of the environment of manufacturing resources. The model, depicted in its structure and in its relationships with the most common business tools, has been tested in a number of manufacturing firms and the results are also shown.

Original equipment manufacturers and other manufacturing companies rely on the delivery performance of their upstream suppliers to maintain a steady production process. However, supplier capacity uncertainty and delayed delivery often poses a major concern to manufacturers to carry out their production plan as per the desired schedules. The purpose of this paper is to develop a decision model that can improve the delivery performance of suppliers to minimise fluctuations in the supply quantity and the delivery time and thus maximising the performance of the supply chain.

The authors studied a single manufacturer – single supplier supply chain considering supplier uncertain capacity allocation and uncertain time of delivery. Mathematical models are developed to capture expected profit of manufacturer and supplier under this uncertain allocation and delivery behaviour of supplier. A reward–penalty mechanism is proposed to minimise delivery quantity and time of delivery fluctuations from the supplier. Further, an order-fulfilment heuristic based on delivery probability is developed to modify the order quantity which can maximise the probability of a successful deliveries from the supplier.

Analytical results reveal that the proposed reward–penalty mechanism improves the supplier delivery consistency. This consistent delivery performance helps the manufacturer to maintain a steady production schedule and high market share. Modified ordering schedule developed using proposed probability-based heuristic improves the success probability of delivery from the supplier.

Practitioners can benefit from the findings of this study to comprehend how contracts and ordering policy can improve the supplier delivery performance in a manufacturing supply chain.

This paper improves the supplier delivery performance considering both the uncertain capacity allocation and uncertain time of delivery.

Introduction Operations research, i.e. the application of scientific methodology to operational problems in the search for improved understanding and control, can be said to have started with the application of mathematical tools to military problems of supply bombing and strategy, during the Second World War. Post‐war these tools were applied to business problems, particularly production scheduling, inventory control and physical distribution because of the acute shortages of goods and the numerical aspects of these problems.

The chapter investigates: (1) Do married parents efficiently allocate time to children’s health care? (2) Are parents willing to sacrifice consumption for health improvements at an equal rate for all family members? (3) How does family structure affect health trade-offs parents make? (4) Are parental choices consistent with maximization of a single utility function?

A model is specified focusing on how parents allocate resources between consumption and goods that relieve acute illnesses for family members. Equivalent surplus functions measuring parental willingness to pay to relieve acute illnesses are estimated using data from a stated-preference survey.

Results provide limited support for the prediction that married parents allocate time to child health care according to comparative advantage. Valuations of avoided illness vary between family members and are inconsistent with the hypothesis that fathers’ and mothers’ choices reflect a common utility function.

Prior research on children’s health valuation has relied on a unitary framework that is rejected here. Valuation researchers have focused on allocation of resources between parents and children while ignoring allocation of resources among children, whereas results suggest significant heterogeneity in valuation of health of different types of children and of children in different types of households.

Results may provide a justification on efficiency grounds for policies to provide special protection for children’s health and suggest that benefit–cost analyses of policies affecting health should include separate estimates of the benefits of health improvements for children and adults.

Professional sports teams employ highly paid managers and coaches to train players and make tactical and strategic team decisions. A large literature analyzes the impact of manager decisions on team outcomes. Empirical analysis of manager decisions requires a quantifiable proxy variable for manager decisions. Previous research focused on manager dismissals, tenure on teams, the number of substitutions made in games or the number of healthy players on rosters held out of games for rest, generally finding small positive impacts of manager decisions on team success.

The authors quantify manager decisions by developing a novel measure of game-specific coaching decisions: the Herfindahl–Hirschman Index (HHI) of playing-time across players on a team roster over the course of a season.

Evidence from two-way fixed effects regression models explaining observed variation in National Basketball Association team winning percentage over the 1999–2000 to 2018–2019 seasons show a significant association between managers’ allocation of playing time and team success. A one standard deviation change in playing-time HHI that reflects a flattened distribution of player talent is associated with between one and two additional wins per season, holding the talent of players on the team roster constant. Heterogeneity exists in the impact across teams with different player talent.

This is one of the first papers to examine playing-time concentration in the NBA. The results are important for understanding how managerial decisions about resource allocation lead to sustained competitive advantage. Linking coaching decisions to wins can help teams to better promote this core product.

Every year volunteers play a crucial role in disaster responses around the world. Volunteer management is known to be more complex than managing a paid workforce, and this is only made worse by the uncertainty of rapidly changing conditions of crisis scenarios. The purpose of this paper is to address the critical problem of assigning tasks to volunteers and other renewable and non-renewable resources simultaneously, particularly under high-load conditions. These conditions are described by a significant mismatch between available volunteer resources and demands or by frequent changes in requirements.

Through a combination of literature reviews and interviews with managers from several major volunteer organizations, six key characteristics of crisis volunteer resource allocation problems are identified. These characteristics are then used to develop a general mixed integer programming framework for modeling these problems. Rather than relying on probabilistic resource or demand characterizations, this framework addresses the constantly changing conditions inherent to this class of problems through a dynamic resource reallocation-based approach that minimizes the undesirable impacts of changes while meeting the desired and changing objectives. The viability of this approach for solving problems of realistic size and scale is demonstrated through a large set of computational experiments.

Using a common commercial solver, optimal solutions to the allocation and reallocation problems were consistently obtained in short timespans for a wide variety of problems that have realistic sizes and characteristics.

The proposed approach has not been previously addressed in the literature and represents a computationally tractable method to allocate volunteer, renewable and non-renewable resources to tasks in highly volatile crisis scenarios without requiring probabilistic resource or demand characterizations.