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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.

Arising from the concept of a Smart City, Smart Heritage has emerged as a significant aspect of heritage conservation. It is viewed as a means to enhance cultural sustainability by strengthening the identity of heritage precincts. Nevertheless, the adoption of Smart Heritage solutions in Australian heritage precincts for the purpose of identity development is still relatively limited. This study focuses on Chinatown Melbourne as a case study to unveil how Smart Heritage can influence a heritage precinct’s identity and to identify the enablers and challenges of such implementation.

The study involves interviews with eight professionals in community development, practitioners in the built-environment discipline and experts in heritage conservation in Chinatown Melbourne.

The outcomes of this study offer practical insights for facilitating the development of Chinatown Melbourne as an urban heritage site, along with providing recommendations for other heritage precincts considering the adoption of Smart Heritage as part of their conservation strategy.

This study offers a novel examination of Smart Heritage implementation in an urban heritage precinct, addressing both the practical enablers and challenges. It advances the discussion by focusing on how Smart Heritage can enhance cultural identity, an aspect underexplored in Australian heritage studies and provides a framework for future global comparisons.

The present study delves into the incorporation of the Metaverse in the insurance industry, with an emphasis on augmenting consumer experiences via virtual interaction.

We explored secondary data sources on metaverse in the insurance industry and went through a thorough analysis of the literature and case studies, showcasing best practices and inspirational tales from top insurers.

The study found that insurers are ready to capitalize on the convergence of the digital and physical realms embracing the “phygital” environment. By making investments in the Metaverse, insurance companies can reduce new risks, enhance customer satisfaction, and streamline operations. But it also brings up issues with user privacy and security. The efficient application of metaverse solutions may be hampered by problematic areas including malware, cyberbullying, identity theft, cyber hacking, and cyberattacks. User privacy and data security are complicated issues that need the cooperation and accountability of several stakeholders.

Insurers may revolutionize traditional insurance interactions by utilizing cutting-edge technology like virtual reality (VR) and augmented reality (AR) to create personalized, interactive, and instructive experiences for their consumers. For insurers, the Metaverse has ushered in a new era of digital transformation by giving them a powerful arsenal of technological resources to engage with customers and develop creative business plans.

The study on the Metaverse in insurance—a virtual customer experience is an original contribution based on literature and case studies on virtual experiences. The ultimate goal of this study is to offer insights into the optimization of virtual client experiences in the digital age by examining the possible advantages, difficulties, and ramifications of applying Metaverse technologies in the insurance industry.

This study examines fluid flow within a rectangular porous medium bounded by walls capable of expansion or contraction. It focuses on a non-Newtonian fluid with Casson characteristics, incompressibility, and electrical conductivity, demonstrating temperature-dependent impacts on viscosity.

The flow is two-dimensional, unsteady, and laminar, influenced by a small electromagnetic force and electrical conductivity. The Hybrid Analytical and Numerical Method (HAN method) resolves the constitutive differential equations.

The fluid’s velocity is influenced by the Casson parameter, viscosity variation parameter, and resistive force, while the fluid’s temperature is affected by the radiation parameter, Prandtl number, and power-law index. Increasing the Casson parameter from 0.1 to 50 results in a 4.699% increase in maximum fluid velocity and a 0.123% increase in average velocity. Viscosity variation from 0 to 15 decreases average velocity by 1.42%. Wall expansion (a from −4 to 4) increases maximum velocity by 19.07% and average velocity by 1.09%. The average fluid temperature increases by 100.92% with wall expansion and decreases by 51.47% with a Prandtl number change from 0 to 7.

Understanding fluid dynamics in various environments is crucial for engineering and natural systems. This research emphasizes the critical role of wall movements in fluid dynamics and offers valuable insights for designing systems requiring fluid flow and heat transfer. The study presents new findings on heat transfer and fluid flow in a rectangular channel with two parallel, porous walls capable of expansion and contraction, which have not been previously reported.

This systematic review sought to examine the research body on acquisitive offending among female offenders, specifically exploring what factors may take females closer towards engaging in acquisitive offending and what factors may support desistance from this behaviour.

A systematic review was conducted, using the recommended guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A total of 8,129 initial articles were identified from the search terms, 77 articles were deemed suitable to meet the inclusion criteria and are explored in the results section. Papers were screened for quality appraisal and risk of bias.

Ten factors were identified that took females closer towards offending. Five factors were identified that took females away from offending. Based on the findings, four typologies of female acquisitive offenders were identified: short-term orientation (adolescent); mental health orientation; life-course persistent (theft); and acquisitive diversity (including robbery and burglary).

Future research would benefit from exploring a more rich understanding of the mechanisms that underpin why females engage in acquisitive offending and what factors contribute towards their desistance. A wider range of bio-psycho-social factors, which may increase the risk of acquisitive offending, should also be considered in future research alongside ways in which interventions may be gender-responsive.

This review provides insight into the differing functions and typologies of female acquisitive offending. Interventions for each of these typologies are considered within the review.

This chapter discusses the challenges and opportunities of integrating big data generated by contemporary museums into data ecology and data fabrics of smart cities. First, it exposes that smart cities could enhance their global reputation, visibility and image by building on closer collaborations with museums. Second, it demonstrates that museums in the 21st century have transformed into hyper-connected cultural hubs, spreading their reach and impact beyond their immediate urban locations. Finally, this chapter discusses creative approaches to data-curation mechanisms that stress the role of museums and cultural heritage sites in supplying data for a more strategic and proactive smart city co-design and management. Specifically, this chapter offers a three-dimensional framework for integrating heritage data in the design of smart city data ecosystems, which includes such components as Data Resources, Data Republics and Data Impacts. Data Resources stresses museum collections’ data and meta-data as a strategic resource to empower creative public data-curation practices to tell meaningful stories about the city and enhance place-making. Data Republics focuses on big data generated by visitors online or on-site as a foundation for evidence-based urban research, design and management, empowering more sustainable, safe and enjoyable tourism. Data Impacts details data-driven methodologies that museums could employ to measure public sentiment and opinion to offer new human-centred indicators to understand the performance of smart cities. This chapter shares a conceptual framework for repurposing museum data within a smart city data ecology to translate the current data excess into data intelligence.

This study aims to investigate the predictive role of team personality composition in facilitating shared leadership through team member exchange (TMX), while also to examine the moderating effect of organizational culture.

The authors conducted a two-stage online survey and selected the customer service teams, claims teams and financial teams of 26 Chinese insurance companies as the research samples. The authors finally obtained validated questionnaires from 107 teams with 457 members. The hypothesized relationships were tested using SPSS 25.0 and Mplus.

The results indicate that both team relationship-oriented and task-oriented personality composition have significant positive effects on shared leadership with team-member exchange serving as a full mediator for both paths. As a boundary condition, organizational culture (i.e. including internal integration values and external adaptation values) has a moderating effect on the influence of TMX on shared leadership.

The study investigates the predictive role of team personality composition on shared leadership, which complements the empirical studies of shared leadership antecedents in the literature. Drawing on social exchange perspective, the authors find out that TMX serves as a mediator between team personality composition and shared leadership. The authors also identify the moderating effect of organizational culture on the emergence of shared leadership. The research emphasizes the contextual boundary condition in this process.

Participative leadership's influence on employee task performance has garnered significant attention in a rapidly evolving organizational landscape. This study explores the multilevel dynamics of participative leadership congruence between unit managers and direct supervisors and its effects on employee task performance.

Drawing on two longitudinal studies based on the firms randomly selected from the Taiwan Economic Journal (TEJ) database, the research observes the mediating role of Person-Unit fit and the moderating influence of Unit-Member Exchange in the participative leadership-performance relationship.

The findings reveal how participative leadership congruence enhances person-unit fit, which in turn benefits employee task performance. Unit-member exchange plays a critical role in augmenting the participative leadership congruence? Person-unit fit? Employee task performance relationship.

The study extends leadership literature by highlighting the significance of leadership alignment across levels and the interplay between psychological and social factors in improving employee performance.

Motivated by the ongoing debate around transparency in empirical research and the reproducibility of scientific discoveries, this study aims to quantify the presence or absence of evidential value in published findings within the field of servitization research. Specifically, it evaluated whether the findings of published articles on the relationship between servitization and firm performance were free from p-hacking and selective reporting practices.

A total of 76 studied on this relationship were synthesized. For the main p-curve analysis, only one significant p-value was extracted from each article, ensuring compliance with the requirements of the p-curve method. Specifically, the analyzed p-values were independent of one another and exhibited a uniform distribution.

Both the main p-curve analysis results and robustness tests support the conclusion that this branch of the literature does have evidential value based on the published findings. Furthermore, approximately 60 studies included in the main p-curve analysis reported a significance level of p < 0.025 regarding the relationship between servitization and firm performance.

This research contributes to the ongoing debate on transparency in servitization research and advances the current understanding of the relationship between servitization and firm performance.

Since youngsters are being extensively engaged with digital devices these days, integrating digital technologies into food and nutrition education programs, stands out as a viable method. The current systematic review aimed to assess the available literature on the effectiveness of digital edutainment games on nutrition behavior of school-going children.

From the earliest date available until September 30, 2023, a comprehensive search was conducted in databases such as PubMed, Cochrane, Scopus, Lilacs, Science Direct, Web of Science and Google Scholar to identify relevant articles. Only randomized controlled studies were included in the review. Seven full-text publications that fulfilled the eligibility criteria were subjected to additional data extraction processing.

Children’s dietary behavior was found to be improved by playing digital games because they are entertaining and pleasurable. The majority of the studies' favored game type was game-based simulations. In terms of pedagogical role, all the studies were independent and not complementary to traditional conventional classroom lectures.

Based on the results, digital educational games show promising results in terms of acceptability and early impacts on reducing sugar intake and enhancing dietary habits in school-age children. However, it is necessary to conduct more research to determine the essential elements of these games, their duration of usefulness and their generalizability.

This review contributes to the researchers and academicians by providing relevant information regarding effectiveness of digital edutainment games on nutrition behavior of school-going children. This is the first systematic review conducted to assess the effectiveness of digital edutainment games on nutrition behavior of school-going children.