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This paper contributes to the theory of the relationship between human resource management (HRM) and innovation at small- to medium-sized enterprises (SMEs) by conducting a conceptual analysis of the question why Germany boasts by far the highest number of “Hidden Champion” SMEs. This is done by case studies from the army and public financial management of aid disbursal in developing countries. Implications for HRM at SMEs are discussed.

Conceptual analysis using case studies.

Contributing towards filling the gap concerning theoretical underpinnings of the link between HRM and innovation, we suggest that interdisciplinary work from relevant organisational case studies indicates that the concept of institutional design to provide motivational incentives may be relevant, especially concerning high performance systems with bundles of HRM practices. Specifically, the fundamental principle of subsidiarity is found to be important.

The research is broadly applicable to organisations of all kinds, as the diverse case studies indicate. We point towards tentative implications for the firms that account for the majority of the work force, namely SMEs, and among them the most successful ones, the so-called “Hidden Champions”.

HR managers can improve motivation, performance and innovation by decentralising decision-making as far as possible, while ensuring the overall organisational goals are well understood and shared, and resources are dedicated to train and educate staff. Additionally, the conception of rank-order competitions complements the institutional design.

Greater productivity and material performance as well as greater job satisfaction via larger autonomy and decision-making power on the local level can be achieved by the application of subsidiarity as key HRM configuration. This can be employed at SMEs, as discussed, but also other organisations. Further, the principle of subsidiarity and the greater emphasis on staff training and education may help reduce inequality.

Our paper contributes towards filling the gap in the literature on the link between HRM and innovation, by identifying the role of subsidiarity. We introduce an interdisciplinary perspective, with contributions from economics and psychology, among others. We also contribute to the history of HRM.

This paper aims to study whether international niche market leaders (INMLs) gained their leading position as early mover or diligent follower, and assess whether they leveraged hard or soft forms of technological, supply pre-emption and customer lock-in advantage mechanisms.

Empirical material stems from qualitative and quantitative data on a sample of 20 niche companies from the Basque Country (Spain) that operate in business to business markets.

The sample predominantly followed an early entrant strategy and applied soft measures to reach niche market leadership.

Findings imply that early entering fosters conquering leadership in niche markets, that pioneer advantage is easier to sustain in niches than in mainstream markets, and that soft measures are more effective in niche markets than in larger markets. A limitation to our findings is that they follow from explorative research on a sample of firms from a reduced geographic setting.

Hidden champions and INMLs can be important sources of technological progress and economic value for the localities that host them. Therefore, despite their traditional low profile and the fact that they are not always the largest firms around, policymakers may want to pay more attention to this type of companies.

Tot he best of the authors’ knowledge, this is the first paper to research entry timing and its outcome for market leadership with regard to niche players or hidden champions-type of firms. It introduces an original taxonomy to operationalize and distinguish between hard and soft measures to leverage advantage mechanisms related to market entry timing.

This paper aims to describe a case between practitioners and social marketing academics to grow and scale a programme that engages with primary schools, teachers, children and the education network, inspiring students to become marine leaders and ocean champions.

Over a six-year period, the authors first applied collective intelligence to work with stakeholders across society to better understand the barriers and solutions to teaching children (6–12 year olds) about the ocean in schools. Following this, a Collective Impact Assessment of the Explorers Education Programme took place to grow the impact of the programme.

The Explorers Education Programme has grown its numbers higher than pre-pandemic levels. In 2022, the Explorers Education Programme had the largest number of participating children, reaching 15,237, with a growth of 21% compared to pre-pandemic levels in 2019 and 79% compared to 2021. In 2023, the programme won the “Best Education Outreach Award” category of the Education Awards in Ireland.

This research stresses the importance of measuring impact. The long-term impact of the Explorers Education Programme at societal, environmental and economical levels takes a much longer time frame to measure than the six years of these research collaborations.

The collaborative approach between academics and practitioners meant that this research had practical implications, whereby necessary and effective changes and learnings could be directly applied to the Explorers Education Programme in real time, as the practitioners involved were directly responsible for the management and coordination of the programme.

The value of collaborations and engagement between academia and practice cannot be underestimated. The ability to collectively reflect and assess impact moves beyond “an” intervention, allowing for more meaningful behavioural, social and system changes for the collective good, inspiring the next generation of marine leaders and ocean champions.

Family violence is a significant social and public health problem. In 2015 a Royal Commission into Family Violence was established in Victoria, Australia, following a number of family violence deaths that received a high coverage in the media. The commission findings were released in 2016. These emphasised the significant physical and psychological harm that is caused by family violence, and that this has wide ranging community impacts. Among the Commission's 227 recommendations a number pertained specifically to improving the response of the healthcare system, with a whole-of-hospital model for responding to family violence recommend-ed for all public hospitals.

Royal Melbourne Hospital (RMH) received a state government grant as part of the SHRFV project. RMH was formally partnered with Tweddle Child and Family Health Service and Dental Health Services Victoria, and also worked with associated service NorthWestern Mental Health, as part of the project. This document outlines the RMH Family Violence Training Framework, a whole-of-hospital transformation change project designed to implement Recommendation 95 from the Royal Commission. All funded services were encouraged to adapt the SHRFV project model to suit the local environment of their health service. This document outlines the RMH approach. RMH specifically focused on using an evidence based research and evaluation framework with a focus on in-depth training, underpinned by a clinical champions network.

This paper investigates the stock market reaction to three different events related to the UEFA Champions League – the announcements of draws, odds and match results. The aim of the paper is to test whether these events are informative for stock market operators, i.e. whether they produce abnormal returns.

Applying the event study methodology, the authors investigate the stock market reaction before (at two events: the draw date and on the release of betting odds) and after the matches of 11 listed soccer teams in the period 2003–2019. The authors also conduct OLS regression analyses in order to disentangle the impact of firm specific variables and match characteristics on cumulative abnormal returns.

This paper finds that match outcomes affect the stock market performance of listed teams, while the announcements of draws and odds do not. More specifically, the market does not consider match outcomes involving wins and ties as informative events, while it penalizes losing teams. Moreover, investor reactions to events related to the UCL competition depend more on match characteristics than on company specific variables.

The study enriches the ongoing debate about the impact of soccer team results on stock market performance in several ways: using the widest time span ever adopted in this area; focusing on UCL, which is the most important soccer competition played by private clubs; disentangling for the first time the effects of draws, odds release and sporting outcome on stock returns of listed soccer clubs.

A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through using wearable technology to acquire information on self-monitoring activities and physical health related problems. However, very little is known about the impact of time window models on discovering self-quantified patterns that can yield new self-knowledge insights. This paper aims to discover the self-quantified patterns using multi-time window models.

This paper proposes a multi-time window analytical workflow developed to support the streaming k-means clustering algorithm, based on an online/offline approach that combines both sliding and damped time window models. An intervention experiment with 15 participants is used to gather Fitbit data logs and implement the proposed analytical workflow.

The clustering results reveal the impact of a time window model has on exploring the evolution of micro-clusters and the labelling of macro-clusters to accurately explain regular and irregular individual physical behaviour.

The preliminary results demonstrate the impact they have on finding meaningful patterns.

Few models have attempted to explain intrapreneurial behavior from the perspective of competencies. Therefore, the purpose of this paper is to contribute along this line by developing and validating a scale to measure intrapreneurial competencies for a Costa Rican organizational context.

A three stage process was followed. The first stage considered literature review, expert judgment, cognitive interviews, and back-translation. In the second stage, the questionnaire was administered to a sample of 543 university professionals who worked mainly in private organizations in Costa Rica. The third stage led to evaluate of the proposed scale’s psychometric properties, including, exploratory factor analysis procedure performing by SPSS 19; confirmatory factor analysis procedures by means of structural equation modeling using EQS 6.2 version and finally, a linear regression model to obtain evidence of external criterion-related validity, performed by SPSS 19.

This study provides evidence of five sub-dimensions of employee attributes, i.e., “opportunity promoter”, “proactivity”, “flexibility”, “drive”, and “risk taking” that constitute a higher-level construct called intrapreneurial competencies. The scale provided evidence of convergent, discriminant, and criterion-related validity – the latter, using an employee innovative behavior scale.

The model offers a first step to continue studies that aim at developing a robust model of intrapreneurial competencies. This potential predictive capacity of an instrument of this nature would be useful for the business sector, particularly as a diagnostic instrument to strengthen processes of staff development in areas that promote the development of innovation and the creation of new businesses for the company.

Value-based healthcare suggested using patient-reported information to complement the information available in the medical records and administrative healthcare data to provide insights into patients' perceptions of satisfaction, experience and self-reported outcomes. However, little attention has been devoted to questions about factors fostering the use of patient-reported information to create value at the system level.

Action research design is carried out to elicit possible triggers using the case of patient-reported experience and outcome data for breast cancer women along their clinical pathway in the clinical breast network of Tuscany (Italy).

The case shows that communication and engagement of multi-stakeholder representation are needed for making information actionable in a multi-level, multispecialty care pathway organized in a clinical network; moreover, political and managerial support from higher level governance is a stimulus for legitimizing the use for quality improvement. At the organizational level, an external facilitator disclosing and discussing real-world uses of collected data is a trigger to link measures to action. Also, clinical champion(s) and clear goals are key success factors. Nonetheless, resource munificent and dedicated information support tools together with education and learning routines are enabling factors.

Current literature focuses on key factors that impact performance information use often considering unidimensional performance and internal sources of information. The use of patient/user-reported information is not yet well-studied especially in supporting quality improvement in multi-stakeholder governance. The work appears relevant for the implications it carries, especially for policymakers and public sector managers when confronting the gap in patient-reported measures for quality improvement.

The purpose of this paper is to provide a theoretically rigorous and practically relevant summary of research findings that enables managers to drive sustainable profits improvements via pricing. It showcases multiple case studies that demonstrate how companies can achieve higher-than-average profitability by implementing intelligent pricing strategies and tactics.

Over the past 20 years, this writer has conducted dozens of academic surveys with managers exploring the antecedents, moderators and consequences of pricing practices for existing and new products. The writer has analyzed all pricing research published in leading academic journals over the past decades. Finally, as equity partner of Hinterhuber & Partners, a pricing consultancy (www.hinterhuber.com), this writer – through collaborations with companies and workshops conducted with practicing managers – has collected data and insights on best practices in managing pricing as a strategic activity.

Pricing is the most powerful driver of superior profits, yet managers view pricing as relevant only in the context of innovation. This narrow view prevents companies from realizing their full potential. Best practice examples of pricing as well as rigorous academic research suggest that pricing based on solid scientific principles helps average companies to achieve above-average results. This paper presents a review of recent research and summarizes the fundamental principles that managers must master so that pricing becomes an enabler of lasting superior performance.

Academic research in pricing surpasses managerial practice. Managers often rely on outdated concepts when it comes to pricing strategy and tactics.

The paper presents a framework that allows managers to implement pricing strategies that improve performance.

Effective pricing strategies benefit companies, customers and other stakeholders.

The paper provides a comprehensive overview of the latest research on pricing and thus documents that pricing based on solid, scientific principles is an enable of lasting, above-average profitability.