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The authors examined the influence of perceived value on consumer attitude and purchase intention (PI) and the relationship between attitude and PI towards sustainable luxury products (SLP) in China.

An online survey was conducted with 935 consumers of luxury fashion in mainland China. Structural equation modelling was applied to measure and analyse the relationship between values (i.e. hedonic values, social values, and value for money) and consumer attitude and PI.

Consumers' multidimensional values positively affected their attitude. Social values and value for money had a significant positive effect on PI towards SLP. However, hedonic values had no effect on PI.

The sample was drawn from first-tier cities in China, and the results cannot be generalised. The authors examined three dimensions of consumption values. Future research should consider additional markets, values, and influencing factors.

Luxury companies should understand Chinese consumers' diverse values and develop sustainable products that meet consumers' principles. These principles increase the perceived value of the products and thereby guide luxury brands to make marketing strategies to increase sales.

This is the first empirical study to use the theory of perceived value scale (PERVAL) to understand consumer behaviour regarding SLP in China.

In recent years, crowdsourcing – an open and innovative model for outsourcing tasks to a crowd – has become popular for production processes, allowing organizations and firms in different industries to access external skills and expertise efficiently. Companies have opened their innovation processes to crowds outside their boundaries, and users and customers are often involved in developing products in line with market needs. This work aims to investigate the link between crowdsourcing, production and quality to better understand this new interesting phenomenon.

An explicit and systematic method for reviewing the literature was used. Through the selection and analysis of the relevant articles in the field, this paper presents a comprehensive overview of the pros and cons, risks and opportunities, disadvantages, or concerns, as addressed in the literature, for the adoption of crowdsourcing in the production processes.

It identifies where, how and to what extent crowdsourcing can be applied profitably within the production of products and services, highlighting how crowdsourcing could affect product and process quality. Finally, some directions for future research are outlined from the analysis conducted.

This work applied the systematic literature review to investigate and evaluate the actual use and impact of crowdsourcing on the production process, focusing on quality enhancement contribution.

Knife crime and serious violent crime (SVC) among youth has been growing at an alarming rate in the UK (Harding and Allen, 2021). Community and school-based intervention and prevention services to tackle knife crime are being developed with some evaluation; however, these are independent and of varied quality and rigour. Therefore, the purpose of this study is to record the approaches being developed and synthesise existing evidence of the impact and effectiveness of programmes to reduce knife crime. In addition, the complex factors contributing to knife crime and SVC are discussed.

A systematic approach was used to conduct this knife crime intervention evidence review using two search engines and four databases. Inclusion and exclusion criteria were applied to ensure focus and relevance. The results of searches and decisions by the research team were recorded at each stage using Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA).

Some evidence underpins the development of services to reduce knife crime. Much of the evidence comes from government funded project reports, intervention and prevention services reports, with few studies evaluating the efficacy of intervention programmes at present. Some studies that measured immediate impact in line with the programme’s aims were found and demonstrated positive results.

This systematic review specifically synthesised the evidence and data derived from knife crime and weapon carrying interventions and preventions, integrating both grey and published literature, with a novel discussion that highlights the importance of outcome evaluations and issues with measuring the success of individual level interventions and their contributions to the overall reduction of violence.

This study aims to examine how corporate social responsibility (CSR) affected the attitudes and behaviors of employees in the European aviation industry amidst the COVID-19 pandemic and to explore any moderating effect of empathetic leadership.

Based on the social identity and social exchange theories, a research model was developed and tested against empirical data collected from employees of the European aviation industry, in 2021. Structural equation modeling and regression analyses were used for testing the hypothesized causal relationships.

Perceived CSR is directly related to work engagement and indirectly associated with work engagement and job insecurity via organizational pride. The presence of an empathetic leader does not intensify the effects of perceptions of CSR on organizational pride. Work engagement, in turn, impacts organizational citizenship behavior, while no such effect of job insecurity is supported.

This study provides insight into the underlying mechanisms via which CSR affects employees during a crisis. It, also, has significant implications on human resources management within the industries severely affected by the pandemic.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

The purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance indicators (KPIs) that can be used to measure OPEX failures. The study also empirically analyzes various OPEX methodologies adopted by various organizations at a global level.

This global study utilized an online survey to collect data. The questionnaire was sent to 800 senior managers, resulting in 249 useful responses.

The study results suggest that Six Sigma is the most widely utilized across the OPEX methodologies, followed by Lean Six Sigma and Lean. Agile manufacturing is the least utilized OPEX methodology. The top four CFFs were poor project selection and prioritization, poor leadership, a lack of proper communication and resistance to change issues.

This study extends the current body of knowledge on OPEX by first delineating the CFFs for OPEX and identifying the differing effects of these CFFs across various organizational settings. Senior managers and OPEX professionals can use the findings to take remedial actions and improve the sustainability of OPEX initiatives in their respective organizations.

This study uniquely identifies critical factors leading to OPEX initiative failures, providing practical insights for industry professionals and academia and fostering a deeper understanding of potential pitfalls. The research highlights a distinctive focus on social and environmental performance metrics, urging a paradigm shift for sustained OPEX success and differentiating itself in addressing broader sustainability concerns. By recognizing the interconnectedness of 12 CFFs, the study offers a pioneering foundation for future research and the development of a comprehensive management theory on OPEX failures.

Prior research has advanced several explanations for social media influencers' (SMIs’) success in the burgeoning computer-mediated marketing environments but leaves one key topic unexplored: the moderating role of SMIs in service failure and recovery strategies.

Drawing on a social constructivist perspective and an inductive approach, 59 in-depth interviews were conducted with millennials from three European countries (Italy, France and the United Kingdom). Building on social influence theory and commitment-trust theory, this study conceptualises four distinct pathways unifying SMIs' efforts in the service failure recovery process.

The emergent model illustrates how source credibility and message content moderate service failure severity and speed of recovery. The insights gained from this study model contribute to research on the pivotal uniqueness of SMIs in service failure recovery processes and offer practical explanations of variations in the implementation of influencer marketing. This study examines a perspective of SMIs that considers the cycle of their influence on customers through service failure and recovery.

The study suggests that negative reactions towards service failure and recovery are reduced if customers have a relationship with influencers prior to the service failure and recovery compared with the reactions of customers who do not have a relationship with the influencer.

Entrepreneurial support programs, like incubators and accelerators, often offer mentorship to new ventures. However, existing research on mentoring has mainly focused on the entrepreneur's perspective, leaving researchers with limited understanding of why experienced mentors provide support to new ventures. This study aimed to explore mentors' motives in mentor–venture relationships and their impact on the advisory process. It also examined different types of mentors (social and commercial) and their motivations for assisting and supporting new ventures.

The present study utilizes a qualitative research approach to investigate the motivations and mechanisms through which new venture mentors assist founders in their growth and success. In-depth interviews were conducted with 18 mentors supporting both social and commercial ventures. These mentors were selected from ten accelerator and incubator programs situated in Belgium. The interviews aimed to gain insights into the mentors' motivations and their experiences in the role of mentors.

Based on the social exchange theory and the norm of reciprocity, this study identified two main motives of mentors: “gaining back” reflecting mentors’ self-interest in deriving benefits from the relationship and “paying back” representing their altruistic reasons for supporting new ventures. Additionally, the study identified mentor functions that primarily involved providing career-related support to new ventures. Moreover, the research revealed intriguing similarities and differences in the motivations and mentoring functions between mentors of social and commercial ventures.

Future research should explore the evaluation process and criteria used by mentors and new ventures when selecting each other for a productive mentoring relationship. Additionally, further investigation is needed to examine the firm-level impact of various mentoring services on the performance of social and commercial new ventures at different stages of development. Comparing mentor motives and functions across diverse geographical settings would address the limitation of the study and provide a more comprehensive understanding of the topic.

The findings of the study can inform policymakers, accelerator and incubator program managers and new ventures seeking mentors and support initiatives. They can use the insights to design effective mentoring programs that align with the specific needs and motivations of mentors and new ventures. Understanding the different motives and functions of mentors can help in the selection of appropriate mentors who can provide the necessary support and expertise to new ventures.

The study highlights the importance of mentorship in the development of entrepreneurial ecosystems. Accelerator and incubator programs play a crucial role in connecting new ventures with mentors who have the right motivation and expertise, contributing to the growth and success of new ventures and the overall entrepreneurial ecosystem. By identifying both altruistic and self-interest motivations in mentoring relationships, the study emphasizes the dual dimensions that characterize the mentor–venture relationship. This understanding can foster stronger collaborations and reciprocal exchanges between mentors and new ventures, ultimately benefiting both parties.

This research contributes to the entrepreneurship literature by exploring the mentor–new venture relationship from mentors' perspective. It expands the existing research on mentor–protégé relationships, broadening the understanding of mentoring dynamics in different organizational settings. The findings offer insights grounded in social exchange theory and provide directions for future research on mentor–venture relationships, resource exchange and relationship development. The study also holds practical implications for policymakers and program managers involved in fostering mentoring initiatives for new ventures.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.