Newsvendor Pricing Problem in a Two‐Sided Market

We study the pricing problem of a “platform” intermediary to jointly determine the selling price of the platforms (hardware) sold to consumers and the royalty charged to content developers for content (software), when the demands for content and for platforms are interdependent. Our model elucidates the impact of supply chain replenishment costs and demand uncertainty on the strategic issues of platform pricing in a two‐sided market.     

Quality of Life of Residents Living near Industrial Estates in Singapore

Quality of life (QOL) studies are increasinglygaining the attention of urban planners due toits usefulness in assessing and monitoringpublic policies. With this in mind, an attemptwas made in this study to assess the quality oflife of residents staying near industrialestates in Jurong, Singapore using 18subjective life indicators to measure theoverall life satisfaction.Based on a 5-point Likert scale, health (4.48),family life (4.37) and public safety (4.13)emerged as the more important aspects, whileself-development (3.90), religion (3.60) andpolitics (2.74) were named by the respondentsto be among the least important. On thesatisfaction level, public safety (3.92),family life (3.88), and public utilities (3.78)were deemed to be among the most satisfiedaspects, while consumer goods (2.92), politics(2.91) and environment (2.89) were consideredto be among the least satisfied aspects. Therelationship between the different demographicvariables with overall life satisfaction werealso determined and five variables, namely,marital status, education level, occupation,household income and household size were foundto contribute significantly to the overall lifesatisfaction scores.Overall, the residents in Jurong were found tobe generally satisfied with their life, scoringa mean satisfaction rating of 3.687. It ishoped that the data gathered from this studycan be used by planners in formulating andimplementing future policies.     

Application of an Irt Polytomous Model for Measuring Health Related Quality of Life

Background: The Item Response Theory (IRT) has advantages for measuring Health Related Quality of Life (HRQOL) as opposed to the Classical Tests Theory (CTT). Objectives: To present the results of the application of a polytomous model based on IRT, specifically, the Rating Scale Model (RSM), to measure HRQOL with the EORTC QLQ-C30. Methods: 103 terminal cancer patients cared for by the home services of the Servicio Andaluz de Salud (Andalusian Health Service) (Andalusia, Spain) participated. These patients responded to the adapted Spanish version of the EORTC QLQ-C30. The application was carried out individually in the patients’ homes. Results: The results show that there is an adequate global fit between the data and the IRT model applied. The analysis of the items shows that for 31 of the 33 items there is a good fit. The items which measure the general perception of health and the perception of quality of life present a lack of fit. The study of the response categories of the items (by means of Category Probability Curves) indicates that all the alternatives work extremely well. Conclusions:The EORTC QLQ-C30 presents good metric qualities, under the RSM, ratifying the feasibility to measure HRQOL already shown in other studies carried out with CTT.     

Essence taxonomy of Brazilian family businesses and conceptual implications for governance strategy

Journal of Management and Governance - This study advances the discussion on the governance of family businesses in emerging markets by exploring a taxonomy based on the F-PEC model in order to...     

Families in the Time of the Pandemic: Breakdown or Breakthrough?

The COVID‐19 pandemic has taken a toll on all individuals and their families around the world. Some suffer more adversely than others depending on their unique developmental needs, resources, and resilience. However, instead of breaking down, many families and therapists have hunkered down to cope with this ‘wicked’ situation as it continues to evolve. This article examines the unique challenges and opportunities of COVID‐19 for families at different life developmental stages, as well as the challenges and opportunities for systemic therapists as they venture into unfamiliar territory. Through a case example and by integrating recent literature related to this pandemic, we apply three key and interconnected systemic themes (unsafe uncertainty, family life cycle, and social diversity) to discuss the challenges and opportunities for families and therapists, respectively. We are optimistic that there are many possibilities as families and therapists draw on, and often reinvent, currently available resources to navigate their course in this pandemic. We also find that while the pandemic continues to present unsafe and uncertain situations, there are new ways of being and behaving, especially when families and professionals work together collaboratively. Despite formidable challenges, there are many opportunities, both within families and communities that cut through different social contexts related to family, culture, economics, and even politics. Families and therapists could endure better when they are more cognisant of how and what these contexts may impact and offer them.     

The application of microcomputers in production management

The findings reported result from a questionnaire survey, and a number of company interviews. Further questions which need to be answered are identified, and a research project to provide these answers is outlined.     

Procedure to identify outliers through cumulative distribution of extremes in a Gamma response model

This work aimed at proposing a procedure based on the cumulative distribution of maximums and minimums to identify outliers in generalized Gamma-response models. In order to validate such method, we used simulations scenarios defined by the combination of different samples, contamination rate and distributions with different degrees of asymmetry. In this context, probabilities related to errors in classification and accuracy were obtained by carrying by Monte Carlo simulations. Using cumulative distribution of extremes to identify outliers in a Gamma-response model is recommended, since it is not likely to present errors and was highly accurate in all assessed scenarios.