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This study examines the motivational processes of charged behavior and collective efficacy driving interdependence and agency in new product development (NPD) teams and the moderating impact of team risk-taking propensity as affective, cognitive and behavioral social processes support team innovation.

Data were collected from 92 NPD teams engaged in B2C and B2B product and service development. Mediating and moderating effects are examined using partial least squares structural equation modeling, referencing social cognitive and collective agency theories as the research framework.

The analysis validates collective self-efficacy and charged behavior as interdependent motivational–affective processes that align cognitive resources and govern team effort toward innovativeness. Teams' risk-taking propensity regulates behavior, and collective efficacy facilitates self-regulated motivational engagement. Charged behavior cultivates the emotional contagion, team identification, cohesion and adaptation required for team functioning. Team potency fosters cohesiveness, while team learning improves adaptability along the innovation journey. The resulting theory asserts that motivational drivers enhance the interplay between cognitive and behavioral processes.

Managers should consider NPD teams as social systems with a capacity for collective agency nurtured through interdependence, which requires collective efficacy and shared competencies to generate motivational purpose and innovativeness. Managers must remain mindful of teams' risk tolerance as regulating the impact of motivational factors on innovativeness.

This study contributes to research on the motivational–affective drivers of NPD charged behavior and collective efficacy as complementary to cognitive and behavioral processes sustaining team innovativeness.

Based on conservation of resources (COR) theory, this study analyses how servant leadership and high-performance work systems (HPWS) provide employees with valuable resources that help them cope with work demands and preserve or increase personal and job resources, which in turn enhances their work-life balance (WLB) and job satisfaction.

A sample of 253 hotel workers from Gran Canaria was surveyed. The study used partial least squares structural equation modelling (PLS-SEM) to test the hypotheses.

Both servant leadership and HPWS positively affect employees’ job satisfaction. Additionally, WLB plays a mediating role in explaining how servant leadership and HPWS can increase employees’ job satisfaction.

Our findings offer practical guidance for hotel managers on implementing strategies that foster employee well-being and enhance performance through a combination of servant leadership and HPWS.

This study is among the first to investigate the mediating role of WLB between servant leadership, HPWS and job satisfaction in the hospitality sector. By applying COR theory, it offers new insights into the interaction between personal and job-related resources and their impact on employee outcomes.

Quality 4.0 is essential to the Industry 4.0 framework, notably in the electronics sector. It evaluates product quality in real-time using automatic process controls, quality tools and procedures. The implementation of Quality 4.0 criteria in the electronics industry is the subject of this study’s investigation and analysis. In this study, nine Customer Requirements (CRs) and 18 Design Requirements (DRs) have been defined to adopt Quality 4.0, aiming to increase yield while reducing defects. This study has developed a Quality 4.0 framework for effective implementation, incorporating the People, Process and Technology categories.

Many CRs and DRs of Quality 4.0 exhibit interdependencies. The Analytic Network Process (ANP) considers interdependencies among the criteria at various levels. Quality Function Deployment (QFD) can capture the customer’s voice, which is particularly important in Quality 4.0. Therefore, in this research, we use an integrated ANP-QFD methodology for prioritizing DRs based on the customers' needs and preferences, ultimately leading to better product and service development.

According to the research findings, the most critical consumer criteria for Quality 4.0 in the electronics sector are automatic systems, connectivity, compliance and leadership. The Intelligent Internet of Things (IIOTs) has emerged as the most significant design requirement that enables effective control in production. It is observed that robotics process automation and a workforce aligned with Quality 4.0 also play crucial roles.

Existing literature does not include studies on identifying CRs and DRs for implementing Quality 4.0 in the electronics industry. To address this gap, we propose a framework to integrate real-time quality measures into the Industry 4.0 context, thereby facilitating the implementation of Quality 4.0 in the electronics industry. This study can provide valuable insights for industry practitioners to implement Quality 4.0 effectively in their organizations.

This paper addresses the social issue of misinformation in six European countries by investigating how intangible factors associated with the collective evaluation of political-institutional behaviors and judgments regarding media practices and uses of online communication channels are related to citizens’ concerns about misinformation.

Based on a quantitative approach (data analysis), the study relies on data from the Eurobarometer 98.2 (2023), the official public opinion survey of European institutions. The analysis encompasses six European countries representing the pluralist-polarized (Spain, Italy and Greece) and democratic-corporatist models (Germany, Denmark and Sweden). With a multiple linear regression model, the research explores how independent variables help explain citizens' concerns regarding misinformation in each country.

The paper emphasizes three main findings: (1) for citizens in five out of six countries, the main factor associated with an increased misinformation concern is the distrust of political information on social network sites. (2) for citizens, how they evaluate the performance of traditional media relates to misinformation concerns and (3) this holds for countries categorized in pluralist-polarized and democratic-corporatist media system models.

Media managers and policymakers can leverage the insights from this research to address the social concern of misinformation.

This article adds value to existing misinformation studies by underscoring the significance of understanding how citizens’ assessments of political-institutional behaviors, journalism practices and the political use of online communication channels interconnect with the misinformation concern in both pluralist-polarized and democratic-corporatist models.

This paper aimed to the enhancement of health-care services at a female penitentiary center in Costa Rica by implementing good documentation practices (GDocP) and good storage and distribution practices (GSDP) among the staff responsible for medications (SRM).

The methodology used in this project was qualitative, as it sought to deepen and reinforce the knowledge of the SRM about GDocP and GSDP in the Vilma Curling CAI to achieve its implementation. Additionally, different questionnaires were applied to measure the initial level of knowledge of GDocP and GSDP and the new skills acquired by the SRM at the end of the project.

Some improvement opportunities were identified in pharmaceutical service, management of the documentary system and knowledge of GDocP and GSDP among SRM. It is important to highlight the essential role of pharmacists, as experts in medical products, in health-care teams. Their participation significantly contributes to improving health outcomes for vulnerable populations, such as incarcerated women.

Limitations included a small sample size, the security regulations to entry to the penitentiary center and limited information related to the implementation of GDocP and GSDP in such environment.

This project explores a poorly researched field such as the implementation of GDocP and GSDP and the impact that this could have on the pharmaceutical service of a penitentiary center.

The purpose of this review is to conduct a bibliometric analysis of financial fraud exploiting the elderly by mapping its evolution, identifying major metrics and discussing directions for future research.

A bibliometric analysis was conducted, based on 434 articles retrieved from the Web of Science that represent the academic literature on the topic from 1995 to the first quarter of 2024. This paper analyses the antecedents of financial fraud exploiting the elderly, the publication trends and the most prolific countries, institutions, journals, research areas and authors. Bibliometric analyses based on co-citation and co-words explore the intellectual structure of the topic. A bibliographic coupling analysis reveals the hottest research trends in this field.

A significant increase in the number of publications in recent years shows the importance gained by this research stream. The bibliometric analysis identifies four clusters throughout the literature: differentiation of types of elder abuse; protection of the elderly from fraud; cognitive and decision-making capacity in ageing; and factors influencing fraud victimization of the eldest. The most recent research lines identified through bibliographic coupling focused on the contextual and personal antecedents of financial exploitation of the elderly, as well as the possible impact of interventions. Several key research gaps and additional suggestions for further studies, as well as action lines for the financial authorities and economic agents, are outlined.

This paper contributes to knowledge about financial fraud exploiting the elderly synthesizing the existing literature, stressing that the banking industry has to deal with such financial fraud in the context of a growing relevance of the silver economy.

Mexico is going through an accelerated increment of the older adults population, which added to the conditions of poverty, places them in a high degree of vulnerability. Bearing this in mind, the aim of this paper is to identify which categories or factors generate the perception of subjective well-being (SWB) in older adults in Mexico.

This qualitative study was carried out in four Mexican states: Mexico City, Tamaulipas, State of Mexico and Oaxaca. Each state presents different levels of social well-being. The study participants were selected using the snowball method. In total, 41 in-depth interviews were carried out, which were analyzed with a thematic analysis approach.

Results show that older people’s SWB is related to different elements like family bonds, having good physical and mental health, personal development and practicing religion.

Results represent experiences only for people interviewed in the states in which interviews were conducted, not representing national scope. Future studies can expand the territorial scope to have a higher comprehension regarding SWB in older adults.

These findings have implications in the design of public policies and programs, for improving the delivery of social and economic services to older adults within the Mexican context.

The purpose of this paper is twofold: first, to present a rigorous bibliometric analysis and a systematic literature review of the critical success factors (CSFs) for Building information modelling (BIM)-based digital transformation; second, to identify the relationship between the dimensions in favour of BIM implementation.

This study adopts a two-step approach to combine bibliometric and systematic literature review to explore the research topic of BIM and CSFs. Bibliometric tools such as Biblioshiny in R language and Ucinet software were applied to this study.

Besides identifying the two most influential authors (e.g. Bryde and Antwi-Afari), the key journal for disseminating articles, and the most influential countries in this discourse (e.g. Hong Kong and Australia), the study also identifies four pivotal research themes derived from the co-occurrence analysis of keywords: the fusion of sustainability and technology with BIM; practical application and its integration within construction management; innovation and engineering paradigms; and the advent of emerging technologies (e.g. Blockchain) within developing nations. Additionally, the paper introduces a comprehensive framework for selecting CSFs pertinent to BIM-centred digital transformation as viewed through the lens of dynamic capabilities.

This paper establishes a link between dynamic capabilities theory, CSFs, and BIM dimensions, presenting a multifaceted framework guiding future paths and offering practical insights for managerial and political decision-makers engaged in digital transformation endeavours. The study positions dynamic capabilities as pivotal, aligning digital technologies with continuous business performance, and advocates for a strategic focus on digital transformation.

Effective human resource management and organisational success depend heavily on measuring employee performance. This paper aims to investigate multiple factors that are crucial in assessing and measuring employee performance in Indian manufacturing sectors. Further prioritisation of the manufacturing industries based on their practices is conducted to measure employee performance.

The LOCOW approach has been used in this study to determine the relative weightage of the factors that assist in measuring employee performance, and the MARCOS method prioritises manufacturing industries.

Through weightage, criteria show that task performance is given the most weightage, followed by adaptability and contextual performance in the manufacturing sectors. The top three industries are oil and gas, steel and automobile.

This study gives manufacturing industries the tools they need to improve their HR practices, get better work from their employees and stay ahead of the competition in a constantly changing industry.

The current work examines the weightage among the factors that aid in assessing employee performance; further, the use of MARCOS technique prioritises the industries, which can be considered the original contribution.

The aim of this research is to assess the impact of the motivational dimensions of slow fashion (exclusivity, equity, authenticity, functionality and localism) on environmental and socially sustainable consumption.

The necessary information to conduct the empirical analysis was obtained through an online survey administered to consumers of slow fashion. Data processing was carried out using the partial least squares structural equation modeling (PLS-SEM) technique.

The obtained results demonstrate that exclusivity and equity significantly influence environmentally and socially sustainable consumption. However, the results indicate that authenticity and localism only have a significant influence on socially sustainable consumption and not on environmental consumption. Furthermore, the findings also reveal that functionality has a significant impact solely on environmentally sustainable consumption.

This study is based on self-reported data collected from buyers aged between 18 and 29, commonly known as Generation Z. Future research could enhance the generalizability of the findings by conducting comparative studies involving other age groups, both older and younger, who are interested in sustainable fashion. Although existing literature suggests that this generation shows a stronger preference for products and brands that promote environmentally and socially responsible practices, broadening the scope to include other demographics could provide a more comprehensive understanding of sustainable fashion consumption.

The findings suggest the importance of developing value propositions that align slow fashion with motivational factors such as exclusivity and equity. Moreover, the practical nature of these motivational dimensions is evident in maximizing their effects on environmentally friendly behaviors, care behaviors and social responsibility. It is recommended to emphasize attributes of garment scarcity, durability, degree of personalization, provenance benefits and information on the company’s social responsibility to foster environmentally and socially sustainable behaviors.

This research contributes to a better understanding of the motivational dimensions that influence sustainable consumption measures and provides valuable information for managers in the fashion industry by clarifying the attributes that act as triggers from the consumer’s perspective.