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The purpose of this study is to analyse the gender wage gap (GWG) in Spain adopting a labour market segmentation approach. Once we obtain the different labour segments (or idiosyncratic labour markets), we are able to decompose the GWG into its observed and unobserved heterogeneity components.

We use the data from the Continuous Sample of Working Lives for the year 2021 (matched employer–employee [EE] data). Contingency tables and clustering techniques are applied to employment data to identify idiosyncratic labour markets where men and/or women of different ages tend to match/associate with different sectors of activity and occupation groups. Once this “heatmap” of labour associations is known, we can analyse its hottest areas (the idiosyncratic labour markets) from the perspective of wage discrimination by gender (Oaxaca-Blinder model).

In Spain, in general, men are paid more than women, and this is not always justified by their respective attributes. Among our results, the fact stands out that women tend to move to those idiosyncratic markets (biclusters) where the GWG (in favour of men) is smaller.

It has not been possible to obtain remuneration data by job-placement, but an annual EE relationship is used. Future research should attempt to analyse the GWG across the wage distribution in the different idiosyncratic markets.

Our combination of methodologies can be adapted to other economies and variables and provides detailed information on the labour-matching process and gender wage discrimination in segmented labour markets.

Our contribution is very important for labour market policies, trying to reduce unfair inequalities.

The study of the GWG from a novel labour segmentation perspective can be interesting for other researchers, institutions and policy makers.

The purpose of this paper is to present the learnings of a broker organization that started a new Population Health Management initiative in two regions in the Netherlands. The research focusses on the role of the broker organization itself in supporting stakeholders in the region to adopt a new implementation strategy designed by the broker organisation itself. The basis of this model was to organize, finance and monitor differently to improve the overall health of the population.

An action research approach was chosen to support the endeavours of the broker organization and to acquire practical knowledge on the role of a third-party in PHM implementation. Qualitative data were collected from documentary analysis, focus groups, logbooks and observational data from team meetings.

The main result is that the role of the broker organization to implement PHM was subject to change during the more than two years of the research. Several themes emerged that influenced these role changes, both internal and external, showing the complexity of providing PHM implementation support as a third-party to regional stakeholders.

We hypothesize that the role of a third-party changes depending on the maturity of the regional collaboration. The complexity of the transition in healthcare calls for constant adaptations, and thus learning and reflection, from all involved. Action research is a strong tool for this.

This paper is one of the first to report on the role of a third-party in PHM implementation. The action research methodology offered the right amount of flexibility to adhere to the complexity of the context and provided rich insights.

The study responds to the calls for multilevel approaches in entrepreneurship research and seeks to answer whether the relationships between personal values and entrepreneurship remain stable across different economic conditions, using the unemployment rate as a moderator. It pays attention to the solo self-employed and women, as these groups are particularly vulnerable when crises occur.

We use Schwartz's theory of human values, which has been understudied in entrepreneurship and follow a correlational research design with micro and macro variables. Multilevel logistic regression is applied to the data from the large sample of 151,032 individuals participating in six waves of the European Social Survey. Solo self-employed are distinguished from those employing others, and analyses are run separately for men and women to understand gender differences.

The findings show that self-direction and achievement are positively, and benevolence and security negatively related to entrepreneurship. The high unemployment rate lowers the positive relationships with self-direction and achievement and mitigates the negative relationship with security, but only for the solo self-employed and not for employers. Results mostly hold for both genders.

The study suggests that security-related values should not be omitted from entrepreneurship research focused on entrepreneurs' values. It also emphasizes the need to distinguish between various subgroups of entrepreneurs and their motivation, which is important for efficient active labor market policies.

The study utilizes multilevel analyses that account for individual- and country-level influences on entrepreneurial activity. It contributes to understanding how economic context influences value salience and supports the applicability of Schwartz's theory of human values in entrepreneurship.

This study aims to provide new understanding on operational and dynamic capabilities supportive to the implementation of performance-based public procurement by focusing on dyadic capabilities of a supplier and a buyer.

The study is based on the qualitative analysis of 20 interviews with informants representing Finnish public organizations and their private sector suppliers. The analysis is aligned with a theoretical framework connecting the phases of procurement and the capability types studied.

The findings of the study present the role of operational and dynamic capabilities of a buyer and a supplier in the implementation of performance-based procurement at public procurement phases. Preprocurement phase is found to greatly benefit from all three dynamic capabilities, while operational capabilities suffice in the contracting phase.

Increased understanding on capabilities needed in performance-based procurement can increase the chances of success in reaching better value for money of public services and developing supplier markets.

The study contributes to the literature on performance-based public procurement and value-based selling by taking a dyadic approach to the operational and dynamic capabilities needed in business with an emphasis on performance. As the focus in public procurement shifts increasingly from resources to performance, involving a joint effort between buyer and supplier, the study provides insights into role of dyadic capabilities and explains how dynamic and operational capabilities together support the phases of performance-based procurement implementation in the public sector.

This study aims to explore and segment consumer preferences for electric and hybrid vehicles in Germany, Sweden, the Netherlands and Turkey, focusing on understanding the various factors that influence consumer decisions in these markets.

Using latent class analysis (LCA) on data collected through online surveys and discrete choice experiments, this research categorizes consumers into distinct segments. The approach allows for a nuanced understanding of how various factors such as income level, fuel cost, age, CO₂ emissions, purchase price, vehicle range, policy policies and environmental concerns interact with shape consumer preferences.

The analysis uncovers significant heterogeneity in consumer preferences for electric and hybrid vehicles across Germany, Sweden, the Netherlands and Turkey, revealing four key segments: “Eco-Driven Innovators,” “Value-Focused Pragmatists,” “Tech-Savvy Early Adopters” and “Reluctant Traditionalists.” “Eco-Driven Innovators” prioritize environmental benefits and are less sensitive to price, demonstrating a strong inclination toward vehicle CO₂ emissions and policy policies. “Value-Focused Pragmatists” weigh economic factors heavily, showing a sharp interest in fuel costs and purchase prices but are open to considering electric and hybrid vehicles if they present clear long-term savings. Technology-savvy early adopters are attracted by the latest technological advancements in vehicles, regardless of the type, and are motivated by factors beyond just environmental concerns or cost savings. Lastly, “Reluctant Traditionalists” exhibit minimal interest in electric and hybrid vehicles due to concerns over charging infrastructure and upfront costs. This detailed segmentation illustrates the diverse motivations and barriers influencing consumer choices, from governmental policies and environmental concerns to individual financial considerations and technological appeal.

This study stands out for its pioneering application of LCA to dissect the complexity of consumer preferences for electric and hybrid vehicles, a methodological approach not widely used in this research domain. Using LCA, the authors are able to uncover nuanced consumer segments, each with distinct preferences and motivations, providing a depth of insight into market dynamics that traditional analysis methods may overlook. This approach enables a more granular understanding of how diverse factors – ranging from environmental concerns to economic considerations and technological attributes – interact to shape consumer choices in different countries. The findings not only fill a critical gap in the existing literature by mapping the intricate landscape of consumer preferences, but also offer a novel perspective on strategizing market interventions. Therefore, the application of LCA enriches the discourse on sustainable transportation, offering stakeholders, manufacturers, policymakers and researchers – a refined toolkit for navigating the evolving market dynamics and fostering the adoption of electric and hybrid vehicles.

The study aims to provide a reference for market segmentation in a relatively new market. Esports consumer profiles are developed based on consumption motives, structural factors, game genres, interests, demographics and behavioral intentions. It delivers managerial advice for a growing esports market.

A quantitative approach using an online survey was implemented to identify homogenous groups. The study employed the Motivation Scale for Sports Consumption (MSSC) to investigate the consumption motives of esports consumers. A two-step market segmentation was conducted based on the motives, applying hierarchical clustering. Moreover, descriptor variables were used to create distinct esports consumer profiles.

This research divides the esports market into four clusters based on MSSC, which is new and relevant in a constantly changing environment. The clusters are named Low Intention Novices, Leisure Warriors, Socializing Learners and Dedicated Enthusiasts.

This adds to the limited literature on esports market segmentation and highlights the theoretical and practical implications of the findings.

The aim of this study was to investigate consumer preferences and profile their food-related lifestyles, as well as to identify consumer groups with similar attitudes/behaviours in the Euro-Mediterranean fruit and vegetable market.

A structured questionnaire was designed drawing from the food related lifestyles instrument and including other factors relevant to fruit and vegetable consumer preferences. The data were collected in an online survey with 925 participants in France, Greece, and Italy. A principal component analysis was conducted to interpret and examine consumers' fruit and vegetable related lifestyles. In addition, a cluster analysis was performed to identify different consumer segments, based on the core dimensions of the food-related lifestyle approach.

In each country, three primary consumer segments were distinguished. Health-conscious individuals were predominant in France and Greece, while quality-conscious consumers were prevalent in Italy. These classifications were determined considering various factors such as purchase motivation, perception of product quality, health concerns, environmental certifications, and price sensitivity.

The food-related lifestyle approach has been adapted instrument to create a customised survey instrument specifically designed to capture the intricacies of fruit and vegetable consumer preferences and priorities in three Euro-Mediterranean Countries.

The study’s purpose is to investigate the constraints and facilitators influencing skiing participation in Beijing. This research includes three segments based on the frequency of skiing participation (i.e. non-, low-frequency-, and high-frequency skiers). By doing so, the study offers an enhanced understanding of the Chinese skiing market and unveils insights assisting industry professionals to effectively address their customers' diverse needs and expectations.

An online survey was developed based on prior research and consisted of four sections: (1) skiing participation; (2) constraints; (3) facilitators; (4) demographics. Items in the constraint and facilitator scale were measured using a 7-point Likert scale. A total of 409 participants completed the survey. The participants included 137 non-skiers, 134 low-frequency skiers, and 138 high-frequency skiers.

Through an exploratory factor analysis, three constructs emerged: general constraints, facilitators and learning constraints. As expected, facilitators were a positive predictor of skiing participation. Importantly, the emergent construct of learning constraints was a negative predictor of skiing and yet, the construct of general constraints was insignificant. Furthermore, the three segments differ significantly in household status, income, and education level.

These results support previous research noting the relevance in skiing participation of the dimensions: facilitators and learning constraints. The findings point to the need for ski resorts in Beijing to offer instructional sessions for beginners so they may become familiar with skiing fundamentals and enhance their confidence, particularly among nonskiers and low-frequency skiers.

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

This chapter focuses on the COVID-19 pandemic’s impact on the recognition through discourses of essentiality, of low-status workers and more specifically of care aides as an occupational group that performs society’s ‘dirty work’. The pandemic appears as a privileged moment to challenge the normative hegemony of how work is valued within society. However, public recognition through political discourse is a necessary but insufficient element in producing social change. Based on the theory of performativity, this chapter empirically probes conditions and mechanisms that enable a transition from discourse of essentiality to substantive recognition of the work performed by care aides in healthcare organizations. The authors rely on three main sources of data: scientific-scholarly works, documents from government, various associations and unions, and popular media reports published between February 2020 and 1 July 2022. While discourse of essentiality at the highest level of politics is associated with rapid policy response to value the work of care aides, it is embedded in a system structure and culture that restrains the establishment of substantive policy that recognizes the nature, complexity, and societal importance of care aide work. The chapter contributes to the literature on performativity by demonstrating the importance of the institutionalization of competing logics in contemporary health and social care systems and how it limits the effectiveness of discourse in promulgating new values and norms and engineering social change.