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Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

The process of performance measurement provides support to company management to achieve the objectives established in strategic planning. Through the definition of critical success factors and related key performance indicators, performance measurement verifies the gap between planned objectives and the results achieved, informing the responsible bodies to enable them to evaluate performance and, if necessary, implement improvement actions. Although many types of companies adopt performance measurement, this process is challenging when applied to national health services. This paper aims to identify the evolution of performance measurement and the critical success factors of national health services.

The authors conducted an explorative case study of a leading national health service to delineate the evolutionary path of performance measurement and the main critical success factors.

The results indicate a significant increase in the maturity of performance measurement of a national health service that has been motivated by international reforms and national regulations. This research highlights performance measurement features such as a balanced set of metrics, targets, and incentives linked to strategic objectives and regular and frequent performance reviews. Furthermore, it identifies the performance measurement model of a leading national health service.

The evolution of performance measurement and numerous critical success factors of national health services are described; the critical success factors cover a wide range of financial to operational aspects such as patient safety, organizational appropriateness, and clinical appropriateness.

Hospitals’ corporate governance (CG) mechanisms oversee critical operational issues and evaluate the outcomes. This paper investigates the impact of CG (i.e. board size, board independence, board expertise, board meetings, board gender diversity, CEO gender, and academic directors) on the financial performance of English National Health Service (NHS) hospitals and separately by hospital type (i.e. trusts and foundation trusts).

The sample includes 128 NHS hospitals. The data were collected through document analysis and archival work from annual hospital reports from 2014 to 2018.

The findings indicate that board expertise, board meetings, board diversity, CEO gender, and academic directors significantly and negatively affect NHS hospitals’ financial performance. For NHS trusts, the results reveal that board expertise, board diversity, and CEO gender have a significant negative effect, while for NHS foundation trusts, only CEO gender has a significant negative impact.

Overall, this study contributes to the literature on the healthcare system. It holds significant practical implications for hospital governance and has important implications for theories.

The outbreak of COVID-19 endemic forced people not only to think but also to pause and objectively reflect how to deal with the situation that has arisen and how to develop well-being and resilience strategies for the welfare of humanity. The endemic brought a global economic shock of enormous magnitude in most of the countries. Policymakers across the globe today have been facing alarming situations and unpredictable challenges as they try to find solutions to problems in the areas of tourism, at macro-economic levels and in socio-cultural arena. People in developing countries are concerned with earning livelihood and supporting their families and find some opportunities to survive by increase in tourist arrivals. Conversely, industralized countries struggle to improve the general psychological and physical health of their citizens. Travelling for well-being appears to be a sensible and uplifting resilience tactic in such a situation. This piece discusses how, in such a situation, cultivating resilience and well-being techniques may enable us to overcome a variety of obstacles in the travel and tourist industry. According to the author, policies aimed at enhancing well-being through travel should give priority to factors like affordability, accessibility, sustainability, safety and education. By promoting an environment where travel is affordable, accessible and sustainable, policymakers can guarantee that more people can take advantage of the positive experiences and enrichment that travel can provide to their lives, while also benefiting the greater community and environment.

In modern societies, consumer well-being is dependent on choices regarding complex services, such as investments, health care, insurance and lending. However, evaluating costs of such services is often difficult for consumers due to a combination of limited cognitive resources and complexity of the service. The purpose of this study is to empirically examine to what extent three specific consequences of complexity influence consumer tendencies to make mistakes when evaluating the costs (or price) of complex services.

Three studies were conducted (survey: n = 153, experiment: n = 332 and conjoint analysis: n = 225), all focusing on how consumers evaluate costs in the complex mutual fund setting.

The authors find that consumers struggle with estimating and using cost information in decision-making in the complex services setting. Consumers of complex services frequently underestimate the costs over the long-term, may see costs as a signal of service quality and are susceptible to influence from presentation formats when evaluating costs.

The study investigates mutual funds, which is one example of a complex service. In order to get a full picture of how consumers deal with costs in complex setting, future research needs to expand this focus to other types of complex services.

The results have implications for both marketers of complex services and policymakers. For marketers, this paper highlights that competing with a low-cost strategy may be difficult in the complex services setting as consumers may lack the ability to actually evaluate what they pay over the long term. For policymakers, increased simplification of prices may be an attractive option. However, it is important that this simplification is done in a way that increases the possibility to compare prices.

As complexity influences several aspects of decision-making, an understanding of how consumers evaluate costs in complex settings is dependent on taking a multidimensional research approach. This paper makes a novel contribution to the literature on pricing by showing that consumers struggle with multiple aspects when evaluating costs in complex contexts. Understanding these effects is important to policy, as well as to research on the cognitive value of simplicity that is currently gaining traction in marketing research.

There is growing recognition that transformation of healthcare systems towards health and well-being systems requires a continuous learning process. This explorative study aims to gain insight into the experiences with and investment in these learning processes within regional partnerships for health and in what they need to enhance their learning capacity to use the learning for transformation.

17 interviews were held with programme managers, data scientists, trusted advisors and a citizen representative, all involved in the learning process on a regional level in ten Dutch regional partnerships. The interviews were inductively and thematically analysed, focusing on the experiences and perceptions underlying the learning processes.

Regional partnerships invest in learning processes by organizing interactions between different groups of stakeholders and by reflecting on specific themes or on a region-wide level. Difficulty was found in region-wide reflection and in enhancing the learning capacity within the partnerships. Further enhancing the learning capacity required: (1) Investment in (the use of) expertise for translating learning outcomes into concrete action; (2) Leadership for change, underpinned by a shared sense of urgency to learn for transformation and (3) A facilitative environment for change which is both based on facilitative system structures and a basis of trust and commitment to learn and adapt.

The study highlighted the difficulty of learning on a region-wide level and the struggle to apply this learning for transformation. It provides insights into how learning processes and learning capacity can be further improved.

Fueled by the soaring popularity of the digital medium, consumers are increasingly relying on dynamic images to inform their decisions. However, little is known about how changes in the presentation of movement impacts these decisions. The purpose of this paper is to document whether and how movement speed–a fundamental characteristic of dynamic images in the digital medium–influences consumers' risk judgments and subsequent decisions.

Three experimental studies investigate the impact of movement speed displayed in the digital medium, focusing on different risk-laden domains including health (pilot study), gambling (Study 1) and stock market decisions (Study 2).

The authors find that faster movement speed displayed in the digital medium elevates consumers’ feelings of risk and elicits cautionary actions in response. The authors reveal a mechanism for this effect, showing that faster movement reduces feelings of control over outcomes, which predicts greater feelings of risk.

Future work could expand upon these findings by systematically examining whether certain individuals are more susceptible to movement speed effects in the digital medium. Research could also investigate whether different ways of experiencing movement speed (e.g. physical movement) similarly influence risk judgments and whether movement speed can have positive connotations outside of risky domains.

The authors offer important insights to marketing practitioners and public policymakers seeking to guide consumers’ judgments and decisions in risk-laden contexts through the digital medium.

By showing how movement speed alters judgments in risk-laden contexts, the authors contribute to literature on risk perception and the growing body of literature examining how moving images shape consumers’ behaviors.

Over some 20 years, the popularity of competitive bodybuilding has increased significantly in India, along with an increase in sponsorship and professionalism in the organisation of events. Multiple competitions are now held at city/town, state, and national levels, organised by a vast range of organisations. The popularity of the sport follows the arrival of muscular bodies in Indian cinema and the attendant rapid growth of the country’s fitness industry. However, what is required for a bodybuilding competition on-stage is not necessarily the same as what actors showcase in movie scenes, specifically orchestrated to underline bodily accomplishments. Nor may it be what clients are after when they enter a gym. This chapter examines how Indian bodybuilders who often make a living as personal trainers navigate different bodily ideals. It foregrounds the notion of ‘muscular capital’ to deepen the understanding of what value a bodybuilder’s body might hold on and off stage and how it is perceived by others. Building on extensive fieldwork in Chennai, Tamil Nadu, this chapter seeks to move beyond the mere economic dimensions of bodybuilding and instead gives prominence to the sociocultural aspects of the body as they reflect an array of different (post colonial) demands and expectations.

The study investigates the impact of various factors on the number of active investors in digital health startups. Through nine hypotheses, we examine the influence of metrics such as patents, online presence, financial aspects and company valuation on investor interest. The results reveal positive associations between these metrics and investor numbers, highlighting their role in signaling strength and attracting investment. This research enhances the understanding of investor valuation in digital health startups, emphasizing the importance of credible signals for building trust and securing funding. However, we acknowledge limitations in data analysis methods and suggest future research to explore industry signals, longitudinal trends and failed startups for comprehensive insights.

This study delves into the design methodology and approach, aiming to fill gaps in understanding investor roles in valuing digital health ventures. We focus on deciphering factors driving valuations for these startups to secure growth financing. Using signaling theory, we investigate how entrepreneurs communicate their latent strengths to bridge information gaps, aiding investment decisions. We analyze a sample of 482 healthcare startups from the Pitchbook database using Poisson regression in SPSS.

This research sheds light on the factors driving investor interest in digital health startups. Despite the critical role of entrepreneurs in patient care innovations, the relationship between investor characteristics and funding for digital health technologies still needs exploration. We examine factors influencing investor valuation in healthcare startups and identify patents, social followers and financial disclosures as pivotal elements shaping investor interest. The findings show that all factors for active investors are significant for all variables except similar unique visitors.

These results significantly enhance our understanding of investor decision-making in digital health startups. They confirm the importance of various signals, like patent activity, online presence and financial performance, in attracting investor attention. We utilize unique data sources, offering insights into investors' behavior across different funding stages. In conclusion, these findings underscore investors' crucial role in the growth and funding of healthcare tech startups, emphasizing the need for robust signals to attract investment.