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Drawing on the contemporary literature and the theory of employer attractiveness, the authors aimed to examine key antecedents and consequences of employer attractiveness by proposing functional hypotheses and relationships between some endogenous variables.

Using the quota-cum-purposive sampling method, the unit of analysis selected for this study was millennials aged 18–35 years and working in the hospitality, travel, tourism and leisure (HTTL) sectors for the last two years. A total of 218 responses were collected in three months (June–August 2022). The data were analysed using partial least squares structural equation modelling (PLS-SEM).

For young employees, company recruitment behaviour, company image and source credibility are significantly and directly related to company attractiveness. The relationship between company image and employee word of mouth (WOM) was significantly positive. Company recruitment behaviour was found to significantly influence employee commitment. Company attractiveness was found to be directly related to young employees' WOM about the company and commitment to it.

The study establishes the significance of company attractiveness because a company's success largely depends on the company's ability to attract and retain a talented and skilled workforce. Moreover, the present study provides much-needed insights to policymakers and regulators that can help the policymakers define and implement favourable policies to promote and protect the country's job market and offer directions to youth employment.

In this study, we explore the impact of innovation failure on organizational strategy from a risk governance perspective, considering systems thinking as a mediating variable and risk perception as an essential weighting variable.

This paper conducts questionnaire research using 364 survey data from high-tech small and medium-sized enterprises (SMEs) in China. It uses a hierarchical regression approach to test an original model.

The results indicate that systems thinking mediates the effect of innovation failure on organizational strategy. The contingency analyses also revealed that the positive impact of systems thinking on imitation strategy is stronger at high levels of risk perception. However, the relationship between systems thinking and innovation strategy is weaker when the risk perception is high.

This paper constructs a theoretical research framework for risk governance to explore how innovation failure affects enterprises’ future organizational strategy, offering valuable insights for enterprise innovation management after innovation failure.

The literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.

The authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.

The results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.

Analyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI.

This paper presents a new and well-structured framework that aims to assess the current environmental impact from a Greenhouse Gas (GHG) emissions perspective. This tool includes a new set of Lean Key Performance Indicators (KPIs), which translates the well-known logic of Overall Equipment Effectiveness in the field of GHG emissions, that can progressively detect industrial losses that cause GHG emissions and support decision-making for implementing improvements.

The new metrics are presented with reference to two different perspectives: (1) to highlight the deviation of the current value of emissions from the target; (2) to adopt a diagnostic orientation not only to provide an assessment of current performance but also to search for the main causes of inefficiencies and to direct improvement implementations.

The proposed framework was applied to a major company operating in the plywood production sector. It identified emission-related losses at each stage of the production process, providing an overall performance evaluation of 53.1%. The industrial application shows how the indicators work in practice, and the framework as a whole, to assess GHG emissions related to industrial losses and to proper address improvement actions.

This paper scrutinizes a new set of Lean KPIs to assess the industrial losses causing GHG emissions and identifies some significant drawbacks. Then it proposes a new structure of losses and KPIs that not only quantify efficiency but also allow to identify viable countermeasures.

Despite city authorities in Bangladesh being concerned about urban sustainability, they often face difficulties in addressing predominant urban challenges threatening urban sustainability, due to limited relevant literature. To reduce this gap, this study aims to address the predominant urban challenges and assess their severity levels in four city corporations of Bangladesh, e.g. Rajshahi, Sylhet, Barishal, and Gazipur.

Using a mixed-method approach, this study rigorously analyzed field-level data obtained from 1,200 residents across selected cities using diverse statistical techniques. The quantitative analysis included descriptive analysis, exploratory factor analysis, and chi-square tests, whereas qualitative insights were derived through thematic analysis.

The study uncovered nine predominant urban challenges under two crucial factors “Feeble Urban Management” and “Illicit Activities” that collectively explain 62.20% variance. “Feeble Urban Management” explains 44.17% variance, whereas “Illicit Activities” accounts for 18.13%. Within these challenges, uncontrolled urban sprawl, inadequate disaster management, congested roads, and shabby drainage and waste management pose significant threats to urban sustainability. Illicit activities, manifested by encroachment on water sources, grabbing roadside, destruction of natural properties, and activities undermining social security, compound the urban sustainability issue. Severity analysis reveals Sylhet (54.5%), Rajshahi (46.4%), and Barishal (31.2%) as highly impacted, whereas Gazipur exhibits moderate severity (66.7%).

The findings of this study reveal intrinsic insights into urban challenges in Bangladesh that will provide valuable guidance to city authorities, equipping them to implement integrated and effective initiatives and programs that overcome these predominant urban challenges, with a specific focus on Rajshahi, Sylhet, and Barishal city corporations.

Drawing primarily on the Japanese context, this study aims to highlight this setting to emphasise the potential for tertiary-level self-access language centres to develop lifelong global citizenship, self-reflection and cross-cultural collaboration.

This inquiry calls on the community of practice approach to account for the shared interests motivating lifelong cross-cultural participation, the quality of social engagement between actors, and the material and cognitive tools called upon to realise global citizenship’s shared enterprise.

As argued here, embracing various cultures and inclusive participation can lead to a broader understanding of global citizenship, avoiding narrow-minded views of globalism through shared knowledge and critical practices. Further, self-access provides a cost-effective, technology-mediated alternative to bilateral student mobility, whereby digital community-building occasions cross-cultural practice that may be extended throughout a learner’s life, irrespective of their financial status or place of study.

This study is one of a select few drawing on the community of practice framework within the context of lifelong global citizenship. Nevertheless, such an approach remains primed for future development. With a social constructivist philosophy in view, the authors suggest complementary qualitative research approaches that highlight the socially situated nature of both disciplines.

Interorganizational collaborations are crucial for delivering high-quality, integrated healthcare services. To maximize the benefits of these collaborative networks, effective governance structures and mechanisms must be in place. While previous studies have extensively examined organizational-level factors, such as partner capabilities and backgrounds, this study focuses on network-level factors, including collaboration structures and tie characteristics that shape effective network governance.

A systematic literature review (SLR) was conducted to identify and synthesize the key network-level factors influencing governance structures and mechanisms in healthcare networks.

The review identified 22 critical factors, categorized into three primary groups that impact network governance. These findings offer a robust foundation for developing context-sensitive governance models tailored to healthcare systems.

This study provides valuable insights for healthcare practitioners, policymakers and researchers by highlighting key factors that can improve interorganizational collaboration within healthcare systems. The findings contribute to both theory and practice, with the potential to enhance healthcare service delivery and patient outcomes.

This study is the first to systematically identify and categorize the network-level factors that influence governance structures and mechanisms in healthcare networks, providing a comprehensive and novel contribution to the field.

With the development of data mining technology, diverse and broader domain knowledge can be extracted automatically. However, the research on applying knowledge mapping and data visualization techniques to genealogical data is limited. This paper aims to fill this research gap by providing a systematic framework and process guidance for practitioners seeking to uncover hidden knowledge from genealogy.

Based on a literature review of genealogy's current knowledge reasoning research, the authors constructed an integrated framework for knowledge inference and visualization application using a knowledge graph. Additionally, the authors applied this framework in a case study using “Manchu Clan Genealogy” as the data source.

The case study shows that the proposed framework can effectively decompose and reconstruct genealogy. It demonstrates the reasoning, discovery, and web visualization application process of implicit information in genealogy. It enhances the effective utilization of Manchu genealogy resources by highlighting the intricate relationships among people, places, and time entities.

This study proposed a framework for genealogy knowledge reasoning and visual analysis utilizing a knowledge graph, including five dimensions: the target layer, the resource layer, the data layer, the inference layer, and the application layer. It helps to gather the scattered genealogy information and establish a data network with semantic correlations while establishing reasoning rules to enable inference discovery and visualization of hidden relationships.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.

This study aims to investigate the strategies that successful companies in the construction industry use to achieve systemic transformation within their value chains and broader ecosystems. This study focuses on understanding how these companies navigate the challenges of a mature and slow-changing industry through innovative approaches.

A multiple case study design is used to analyze the systemic innovation dynamics across construction subsystems, through the lens of Complex Adaptive Systems theory. This research involves an empirical examination of nine case companies, selected based on their innovations in at least two construction subsystem areas and markers of success such as growth, profitability or invested capital. This methodology facilitates a detailed understanding of the company-level transformation.

This study identifies four distinct development paths toward systemic transformation within the construction industry: product-driven, product platform-driven, process integration-driven and business model-driven. These paths are characterized by unique strategies integrating technology, optimizing processes and innovating business models, demonstrating how companies can effectively adapt to and evolve within the construction ecosystem.

This research contributes original insights into company strategies and how they achieve systemic transformation. This study expands existing knowledge on systemic transformation in the construction industry by integrating empirical evidence with theoretical frameworks, offering a novel perspective on how successful companies innovate within a traditionally slow-changing sector.