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The substantial expansion of technology and the efficacy of digital platforms in reaching young audiences have led to enhanced targeting and customization of promotional communications. Notwithstanding the expansion and efficacy of contemporary advertising platforms, scholarly attention has not kept pace with this domain of inquiry. This study aims to assess the antecedents of Google Shopping Ads (GSA) on intention to purchase behavior among the Generation Y and Z cohorts.

The current study used a quantitative approach and snowball sampling technique to gather primary data via a questionnaire and Google Forms, which resulted in the collection of 5,808 questionnaires among the cohort members. A principal component analysis and multigroup confirmatory multigroup structural equation modeling (between Generation Y and Z) were used to assess the research data and model.

The results show positive trust and perceived value associations with intention to purchase, particularly among Generation Y and Z consumers. The findings also show negative irritation, product risk and time risk associations with intention to purchase, especially among the Generation Y cohort, which indicates that young consumers generally do not observe perceived risk due to the usage of GSA.

GSA will continue to grow and become an increasingly important integrated marketing communications tool as the digital landscape develops. It can be concluded that young consumers show a high degree of perceived value and low levels of perceived risk due to the use of GSA. This study, therefore, promotes improved understanding among academics, marketers and businesses of search engine advertising among young cohorts of consumers (Generation Y and Z) in a developing country context.

This paper aims to delve into the nuanced relationship between corporate governance dynamics, human capital disclosure and their impact on the competitive positioning of Japanese listed companies. The study primarily examines how these factors influence employee engagement, a critical determinant of overall business competitiveness.

Panel data for Japanese listed companies for FY 2019 to FY 2021 were analysed using multiple regression analyses with two models.

The results indicate that the presence of independent and female board members has a positive impact on human capital disclosure. Surprisingly, employee engagement was found to be negatively related with human capital disclosure, signifying a potential trade-off between transparency and engagement.

Amidst the escalating emphasis on non-financial information and corporate social responsibility, this paper unveils a previously underexplored aspect of Japanese corporate competitiveness. Specifically, this study offers a fresh empirical perspective on the relationship between corporate governance, human capital disclosure and employee engagement in Japanese listed companies, a topic with limited academic research and no legal regulations in Japan. The findings have significant implications for companies seeking to enhance their human capital disclosure and employee engagement practices, especially in light of the growing focus on non-financial information and social responsibility.

This research deals with the critical factors of quality and their significance to perceived security as an effort to build a formidable loyalty of customers in a technology driven service environment. The primary purpose of this study is to investigate the key contributing elements of functional and service quality on perceived security and to further analyze its impact on customer satisfaction and loyalty.

A hypothesized structure model is proposed and justified using the data collected in the manufacturing and telecommunication service sectors in South Korea through survey with total 647 respondents. To clarify the reliability of model and validity of the proposed hypothesis, AMOS 24.0 software was utilized. Furthermore, two moderating variables were adopted for the depth understanding.

This study reveals that service quality dominantly influences the level of perceived security due to its characteristics that are mostly formed on the stage of customer-contact activity. This study further provides a strategic methodology for manufacturing and telecommunication firms to foster sustainable growth by focusing on perceived security during the service delivery process.

This finding is particularly important as Ontact technology becomes increasingly critical during the COVID-19 pandemic. It is worthwhile noting that the research outcome of this study may, in turn, trigger the trust issue that need to be combined with quality in the era of Industry 4.0.

COVID-19 has caused unprecedented disruption to health systems. There is much to be gained by capturing what was learned from changes and adaptations made by health services and systems. The Ministry of Health in New South Wales (NSW), Australia, sought to prioritise health services research (HSR) to address critical issues arising from the COVID-19 pandemic. We tested a priority setting methodology to create priorities for a specific funding opportunity and to extract generalisable lessons.

A virtual roundtable meeting of key stakeholders was held in June 2020. We used a modified Nominal Group Technique (NGT) for priority setting, with potential items (n = 35) grouped under headings. Data was analysed through a reflective deliberative process.

We engaged 89 senior policy makers, health service executives, clinicians and researchers in the roundtable. The NGT proved an efficient method with participants reaching consensus on eight priorities. Findings included strong support for learning from the rapid response to COVID-19 and addressing needs of vulnerable populations and the health workforce. Opinions differed about strategic areas investment and where learnings should be via internal evaluation rather than funded research. Three of the eight recommended priorities were included in the funding opportunity.

Coronavirus disease 2019 (COVID-19) required unprecedented change and adaptations within health systems, and rapid, applied health services research can help to create, understand and (where relevant) sustain change beyond the immediate impact of the pandemic. While final decisions may be dependent on a wider range of considerations by government, stakeholder enthusiasm for engagement in priority setting exercises may be dampened if they do not perceive their application in decision-making.

A modified nominal group technique can be used to set research priorities in constrained conditions by engaging large numbers of stakeholders in rankings and then using an online delivery of a roundtable and to reach consensus on priorities in real time. Recommended priorities for health services research can be readily generated through rapid engagement but does not guarantee their application.

Australia’s swift response to COVID-19 pandemic in 2020 was perceived as a relative success due to the rapid public health and policy response and a relatively low number of cases. This response was underpinned by systematic knowledge mobilisation including support for targeted and prioritised health services research to fill knowledge gaps.

Setting priority processes can provide rich, engaged input to support government funding decisions about HSR. A wide range of dynamic and iterative processes influence decision-making in a rapidly evolving situation in the health system response to COVID-19. It is crucial to consider how major investment decisions will support a value-based healthcare system.

Racial wealth inequality is a significant and growing issue in the USA. Improving the lagging rate of black new venture creation and successful entrepreneurship could help close the gap. The purpose of this paper is to focus needed attention on the financial challenges resulting from institutional and systemic discrimination that black entrepreneurs must deal with. Following this literature review, the paper makes recommendations and broad public policy suggestions.

This study conducts a literature review and discusses the myriad of reasons black entrepreneurs struggle with inadequate access to capital, with special emphasis on weaker entrepreneurial ecosystems that have resulted from systemic racism.

The paper sheds light on several factors which continue to directly impede successful black entrepreneurship including discrimination in lending, distrust in institutions, over-reliance on (inadequate) personal capital and declining black-owned banking and financial institutions, as well as community banking options in black communities.

The paper is conceptual and relies on prior literature. The proposed solutions are just a starting point and are certainly not meant to be all-inclusive or comprehensive. Much future research, particularly longitudinal research, is needed to further develop theory and specific public policies which can close the disparities this study has discussed. This study outlines several key areas in need of further quantitative and qualitative studies to better understand black entrepreneurship.

The US economy will increasingly suffer if the nearly 15% of population (and growing) made up of black communities continues to struggle. The broad-based policy solutions proposed in this paper would allow for increased access to capital that would address the long-term deficiencies and help to close the racial wealth gap.

Through this study’s broad-based potential solutions, entrepreneurial ecosystems can be strengthened to build the environment for successful new venture creation in black communities. The longer-term benefit would be increased tax revenues, improved communities with fewer individuals needing support through government assistance and greater social stability as economic gaps between various racial groups are closed.

Using a broader entrepreneurial ecosystem framework and a systemic racism theory lens, this study discusses the limited capital black entrepreneurs have access to. Following this literature review, this study offers broad-based policy solutions that can strengthen ecosystems and directly address the issues raised in the paper.

As China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development.

In this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression.

Firstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced.

Firstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.

Damage of engineering structures is a nonlinear evolutionary process that spans across both material and structural levels, from mesoscale to macroscale. This paper aims to provide a comprehensive review of damage analysis methods at both the material and structural levels.

This study provides an overview of multiscale damage analysis of engineering structures, including its definition and significance. Current status of damage analysis at both material and structural levels is investigated, by reviewing damage models and prediction methods from single-scale to multiscale perspectives. The discussion of prediction methods includes both model-based simulation approaches and data-driven techniques, emphasizing their roles and applications. Finally, summarize the main findings and discuss potential future research directions in this field.

In the material level, damage research primarily focuses on the degradation of material properties at the macroscale using continuum damage mechanics (CDM). In contrast, at the mesoscale, damage research involves analyzing material behavior in the meso-structural domain, focusing on defects like microcracks and void growth. In structural-level damage analysis, the macroscale is typically divided into component and structural scales. The component scale examines damage progression in individual structural elements, such as beams and columns, often using detailed finite element or mesoscale models. The structural scale evaluates the global behavior of the entire structure, typically using simplified models like beam or shell elements.

To achieve realistic simulations, it is essential to include as many mesoscale details as possible. However, this results in significant computational demands. To balance accuracy and efficiency, multiscale methods are employed. These methods are categorized into hierarchical approaches, where different scales are processed sequentially, and concurrent approaches, where multiple scales are solved simultaneously to capture complex interactions across scales.

Over halfway through the implementation of the Sustainable Development Goals, SDG16’s promise of access to justice for all remains a distant pipe-dream. Progress has been limited as the COVID-19 pandemic, new armed conflicts, and rising authoritarianism have in many jurisdictions exacerbated justice problems and hobbled institutional responses. Reversing these negative trends and closing the justice gap will require new ways of conceptualizing and delivering justice services, taking a people-centered, problem-solving approach that draws on data about people’s justice needs and marshals multi-disciplinary expertise, cross-sectoral collaboration, and innovative policy tools to solve them. Drawing on the analysis of an unprecedented global legal needs survey covering over 100 countries, this chapter describes this challenge and highlights the critical role that institutions of higher education can play in stimulating and supporting the much-needed transformation of our justice systems. It profiles exemplary initiatives at colleges and universities bringing their capabilities to bear on the justice challenge and draws lessons learned for institutions looking to follow suit. In doing so, institutions of higher education can not only help close the justice gap but also build trust in justice institutions and contribute to a rejuvenation of the human rights movement.

Although building information modeling (BIM) has brought competitive advantages and many new jobs, the BIM-related job market is still confusing in China, which will undermine the adoption of BIM. This paper aims to show what kinds of BIM-related jobs are there in China, what employers require and whether all BIM engineers are the same kind.

A text mining approach, structural topic model, was used to process the job descriptions of 1,221 BIM-related online job advertisements in China, followed by a cluster analysis based on it.

First, 10 topics of requirements with the impact of experience and educational background to them were found, namely, rendering software, international project, design, management, personal quality, experience, modeling, relation and certificate. Then, six types were clustered, namely, BIM modeler, BIM application engineer, BIM consultant, BIM manager, BIM developer and BIM designer. Finally, different kinds of BIM engineers proved this title was an expediency leading to confusion.

This paper can provide a clear and insightful look into the confusing and unheeded BIM-related job market in China and might help to cope with the abuse of job titles. It could also benefit both employers and candidates in their recruitment for better matching.

The purpose of this research is to develop empirically grounded propositions for further research into UK manufacturing productivity.

Interviews were conducted with managers from strategic, tactical and operational levels from four manufacturing sectors to produce case studies. A modified strategic alignment theory framework was used to code, compare and contrast narratives on perceived productivity antecedents, definitions, compatibility with the definition from the UK Office for National Statistics, and vertical alignment issues within and across cases.

It was found that different key antecedents can facilitate and/or prevent strategic vertical alignment. Discussion reveals complex nuances in perceptions of manufacturing productivity and using the modified strategic alignment theory/productivity antecedent framework.

In revealing the alignment or otherwise of productivity definitions at different levels within the firm, the paper reveals nine propositions for future research including definitions, skills, metrics, performance measurement systems, people and system-centric perspectives, the value-added perspective of productivity and the role of innovation.