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Despite the fact that in recent years performance management and measurement (PMM) techniques and tools have attracted much research interest and that many scholars claim that implementing PMM yields many advantages, there is only a limited number of rigorous, systematic, scientific analysis of empirical studies into the benefits actually experienced by organizations in practice after introducing PMM. In addition little is known about specific reasons for organizations to start using PMM, and about the various relationships, if any, between the advantages, disadvantages and reasons for PMM use. This paper seeks to address these issues.

This article identifies the advantages, disadvantages and reasons for use of SPM which organizations have experienced in practice, based on an extensive literature research and interviews at 17 prominent Dutch organizations.

The study found four main advantages, two main disadvantages and two main reasons for use.

The main limitation is that the number of participating organizations and interviewees could be higher.

The practical implication of this research is that implementing and using PMM yields specific benefits for an organization and that management now knows which advantages are to be expected.

This research shows that management needs to make the advantages of PMM explicit before the PMM implementation starts and keep stressing these advantages during and after implementation. This will heighten commitment of organizational members for PMM and increase a successful use of PMM.

The aim of the study is to determine the prevalence of absenteeism and presenteeism and explore their association with work performance among support workers in a medical school hospital in Thailand.

A cross-sectional study was conducted among 1,102 support workers in the Faculty of Medicine Ramathibodi Hospital, Mahidol University, in June–August 2020. The World Health Organization Health and Work Performance Questionnaire (HPQ) was used to assess absenteeism, presenteeism, work performance and related factors. Multiple logistic regression was used to examine the association between current work performance and absenteeism and presenteeism in the past year.

A total of 505 (45.8%) support workers completed the self-report questionnaire. Prevalence of sickness absence, non-sickness absence and presenteeism in the past year was 54.2%, 81.4% and 48.1%, respectively. Sickness absence and presenteeism in the past year were significantly associated with increased odds of poor work performance: (OR 3.05, 95% CI: 1.24–7.49) and (OR 5.12, 95% CI: 2.25–11.64), respectively. Support workers with high levels of stress and burnout were 3.89 (95% CI: 1.56–9.68) and 2.66 (95% CI: 1.50–4.72) times more likely to report poor work performance.

Sickness absence and presenteeism are associated with poor work performance in hospital support workers. Other factors such as stress and burnout also contribute to poor work performance, and interaction among these factors needs further research. To improve productivity, hospital administrators might consider intervention programs to enhance work performance among workers with sickness absence and presenteeism.

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

The purpose of this paper is to examine whether the seasonal anomaly known as the reverse weekend effect detected at index level can also be observed at individual stock level.

This paper's methodology is based on the model first developed by Connolly and then employed by Chang, Pinegar, and Ravichandran in which returns are regressed against the dummy variable for Monday. In addition, the conditional variance is also included into the mean equation following Engle, Lilien, and Robins. Given the increasing evidence that equity returns are conditionally heteroskedastic, the paper includes in the conditional variance the lag of the squared residual from the mean equation (i.e. autoregressive conditional heteroskedasticity term introduced by Engle) and the previous period's forecast variance (i.e. the generalized autoregressive conditional heteroskedasticity term introduced by Bollerslev). Also, the paper controls for the different impact of good and bad news on the conditional variance following Glosten, Jaganathan, and Runkle.

It is found that the anomaly is widely distributed among large firms, not just confined to a few firms. The finding suggests that the anomaly at the index level is not driven by the extreme returns of a few firms. The paper also finds that the anomaly at the firm level is not evenly distributed across the weeks of the month. Furthermore, trading volume and illiquidity of individual firms can only partially explain the seasonal anomaly.

This paper extends the study of the reverse weekend effect in individual firms.

Research involving interorganizational relationships (IORs) has grown at an impressive rate. Several datasets have been used to understand the nature and performance implications of these relationships. Given the importance of such relationships, we describe a relatively new dataset, Bloomberg SPLC, which contains data regarding the percentage of costs and revenues attributed to suppliers and customers, as well as allows researchers to construct a comprehensive dataset of IORs of buyer–supplier networks. Because of this, Bloomberg SPLC data can be used to uncover new and exciting theoretical and empirical implications. This chapter provides background information about this dataset, guidance on how it can be leveraged, and new theoretical terrain that can be charted to better understand IORs.

Health is inextricably linked to the productivity and therefore the economic viability of individuals, populations and nations. A global strategy for health enhancement would yield a multitude of benefits for humankind. The root cause of the escalating healthcare cost crisis is driven by a health crisis from a growing burden of health risks that are leading to an expanding burden of chronic illness yielding an unsustainable economic burden. This paper aims to present a general review of the business value of health and the power of prevention in addressing solutions for managing total health and productivity costs.

The paper reviews the scientific and economic business case for investing in health enhancement.

Highlights of employer case studies and published research demonstrate that comprehensive, integrated population health enhancement can lower health risks, reduce the burden of illness, improve productivity and lower total health‐related costs. The dominant components of the solution are a substantial commitment to prevention and a culture of health rather than just more treatment and cure. In addition there needs to be a focus on the quality and effectiveness of care rather than just the quantity and efficiency of the care.

The healthcare cost conundrum can be impacted by reducing the burden of chronic illness and health risk in populations, thereby improving the health and productivity of the workforce, the health of the bottom line for engaged employers and ultimately the health of a nation's economy. Ultimately, the broader value proposition of integrated population health and productivity enhancement should drive this strategy by leveraging the value of health and the power of prevention.

Studies of capital market efficiency are important because they infer that there are predictable properties of the time series of prices of traded securities on organised markets. We examine the weak form of the efficient markets hypothesis to indicate its usefulness in terms of the results of this study. Furthermore, this study of individual securities prices of traded securities on organised markets corroborate previous findings of studies of stock market indexes both in the United States and for foreign stock exchanges that daily patterns are present in the times series of securities prices. You will note also, that the models identified reflect the closing prices on one day less the closing price on the previous day. In this way, we study returns and not average or closing prices.

The purpose of this study is to explore factors influencing customers’ purchasing behavior toward home-based small and medium enterprise (SME) products. Moreover, this study explores customer perception of home-based SME products and services, as assesses their satisfaction with the parking area layouts and delivery service systems of home-based SMEs.

Relevant variables were drawn from the literature review. A well-structured, internet-based customer questionnaire was developed for this empirical study and sent to a targeted sample of 117 respondents. The statistical methodologies such as ranking scale analysis, analysis of variance and Pearson’s correlation were used to assess the gathered data using SPSS software.

The main findings revealed that 83% of the customers perceived the quality of home-based SME products and services as “at least good,” and that convenience was ranked as 21.1% with the most crucial factor for customers, which includes easy access, effective delivery and quicker processes. Moreover, the study reveals that approximately 50.4% of customers rated the parking area layouts as “at least good,” while 33.9% considered it dissatisfactory. The evidence from the correlation analysis indicates that consumers’ purchasing behavior correlates significantly with accessibility, ease of finding online shopping sites and availability of parking areas at a 95% significance level.

The research findings will bring insights to SME owners and entrepreneurs to infer and fulfill customer expectations and achieve brand loyalty. However, research limitations include the relatively small sample size, as well as the study, focuses on home-based SMEs’ consumer behavior which cannot be generalized to other firm types.

This study provides useful information on the factors and issues influencing the purchasing behavior of customers toward home-based SME products in the UAE. Understanding of SMEs owners of customer experience would facilitate planning adequate strategies addressing customers’ needs, behaviors, expectations and future opportunities. Also, logistic and delivery companies can further support SME’s growth by providing an efficient delivery experience taking into consideration the quality of product condition and duration of the delivery cycle.

Home-based SMEs are emerging as intrinsic to the economic diversification process, especially in fast-growing and ambitious countries such as the UAE. The research objectives have drawn a better understanding of consumers’ preferences, perceptions and purchasing behavior which would better facilitate the growth and sustainability of home-based SMEs based on the UAE context.

The purpose of the study is to give a new perspective to presenteeism. Traditionally, there are two approaches to it. In our study, we have tried to empirically prove that there is a third approach to looking at presenteeism from the lens of employee engagement.

The research design used a mixed-method approach and was carried out in two parts. In Part I of the study, survey research was carried out to study presenteeism. In part II, a vignette on presenteeism was designed to study whether respondents exhibit presenteeism more in a crisis than other modes of handling the situation.

The findings from Study 1 showed that high employee engagement led to high presenteeism. Study 2 showed that in crisis situation employee engagement led to voluntary presenteeism in the form of work–from–home as the most preferred response.

The study's limitations were the small sample size and cross-sectional survey research design. The same was offset by using the vignette study to show the relationship between employee engagement and presenteeism.

Voluntary presenteeism is different from forced presenteeism and often is a mark of engaged behaviour of employees.

If work-from-home when sick is managed correctly and supported with adequate resources, attending work during illness can benefit health and performance in the long run.

The study provides a unique perspective on presenteeism in general and voluntary presenteeism in particular.