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Through the significance matrix, this paper aims to investigate and explore the main sustainability factors of mega transportation infrastructure projects. Sydney’s Metro mega transportation infrastructure is used as a case study. Sydney’s Metro was selected because of its sustainability challenges faced because of the areas’ diverse ecological zones. Sydney’s Metro is thus examined as the basis of best practice for the determination of the sustainability factors of transportation infrastructures.

Using the significance matrix as a methodology, this research evaluates the environmental impact assessment and environmental assessment processes, to alleviate the problems of the mega transportation infrastructure.

This research found that a more comprehensive determination is needed to further analyse the sustainability factors of mega transportation infrastructures, use of a significance matrix would further assess the environmental complexities of mega transportation infrastructures and the sustainability factors of mega transportation infrastructures should include a nonlinear and asymmetrical scheme highlighting its components and carefully outlining its integration and consolidation.

Although there is concurrent research into sustainability factors of mega transportation, this paper undertakes a new methodology for such infrastructure. While the significance matrix is not a new concept, it has never been used specifically for mega transportation infrastructure. Subsequently, using the significance matrix as a methodology, this research undertakes such environmental analysis and assessment and thus produces a qualitative risk analysis matrix. The findings from this research will ultimately assist the key stakeholders of mega transportation infrastructures to better plan, monitor and support similar projects.

In successfully meeting city and metropolitan growth, sustainable development is compulsory. Sustainability is a must-focus for any project, particularly for large and mega rail infrastructure. This paper aims to investigate to what degree social, environmental and economic factors influence the government when planning sustainable rail infrastructure projects. To respond to such a matter, this paper focuses on two Australian mega-rail projects: the South West Rail Link (SWRL) and the Mernda Rail Extension (MRE).

As the basis of an experimental evaluation framework strengths, weaknesses, opportunities and threats (SWOT) and factor analysis were used. These two methods were specifically selected as comparative tools for SWRL and SWRL projects, to measure their overall sustainability effect.

Using factor analysis, in the MRE, the factors of network capacity, accessibility, employment and urban planning were seen frequently throughout the case study. However, politics and economic growth had lower frequencies throughout this case study. This difference between the high-weighted factors is likely a key element that determined the SWRL to be more sustainable than the MRE. The SWOT analysis showed the strengths the MRE had over the SWRL such as resource use and waste management, and natural habitat preservation. These two analyses have shown that overall, calculating the sustainability levels of a project can be subjective, based on the conditions surrounding various analysis techniques.

This paper first introduces SWRL and MRE projects followed by a discussion about their overall sustainable development. Both projects go beyond the traditional megaprojects' goal of improving economic growth by developing and enhancing infrastructure. Globally, for such projects, sustainability measures are now considered alongside the goal of economic growth. Second, SWOT and factor analysis are undertaken to further evaluate the complexity of such projects. This includes their overall sustainable development vision alignment with environmental, economic and social factors.

Digital transformation (DT) projects are complex and often unsuccessful. While researchers have suggested many guidelines and best practices on how to successfully roll out DT projects and how they are spread among a large number of scientific papers. The aim of this paper is to synthesize these guidelines into clear overviews.

A systematic literature review was conducted on both Scopus and Web of Science to search for papers suggesting DT guidelines or best practices. In total, 150 papers dealing with DT and guidelines were fully analyzed.

Eight main DT guidelines were found and each one was expanded with several best practices on how to implement these. The results are eight tables giving an overview of the commonly agreed-upon best practices for each DT guideline.

These overviews are useful for both researchers and practitioners, to guide future work and to be inspired respectively. This paper calls for more research on how these guidelines are followed in practice, how these differ per industry and what their impact is on the overall success of DT projects.

The synthesis of DT guidelines organized into an accessible format has not yet been conducted before, and can serve as a seminal pinpoint for future research.

Modeling helps to determine how structural parameters of fabric affect the surface of a fabric and also identify the way they influence fabric properties. Moreover, it helps to estimate and evaluate without the complexity and time-consuming experimental procedures. The purpose of this study is to develop and select the best regression model equations for the prediction and evaluation of surface roughness of plain-woven fabrics.

In this study, a linear and quadratic regression model was developed for the prediction and evaluation of surface roughness of plain-woven fabrics, and the capability in accuracy and reliability of the two-model equation was determined by the root mean square error (RMSE). The Design-Expert AE11 software was used for developing the two model equations and analysis of variance “ANOVA.” The count and density were used for developing linear model equation one “SMD1” as well as for quadratic model equation two “SMD2.”

From results and findings, the effects of count and density and their interactions on the roughness of plain-woven fabric were found statistically significant for both linear and quadratic models at a confidence interval of 95%. The count has a positive correlation with surface roughness, while density has a negative correlation. The correlations revealed that models were strongly correlated at a confidence interval of 95% with adjusted R² of 0.8483 and R² of 0.9079, respectively. The RMSE values of the quadratic model equation and linear model equation were 0.1596 and 0.0747, respectively.

Thus, the quadratic model equation has better capability accuracy and reliability in predictions and evaluations of surface roughness than a linear model. These models can be used to select a suitable fabric for various end applications, and it was also used for tests and predicts surface roughness of plain-woven fabrics. The regression model helps to reduce the gap between the subjective and objective surface roughness measurement methods.

Relationships are a critical success factor for business operations across markets with dominant Chinese culture, like Taiwan. The intersection of a high-quality institutional environment and a traditional Chinese cultural background in Taiwan provides a unique setting for exploring different types of relational mechanisms and ensuing renqing practices (i.e. reciprocal exchange of favors with empathy). The purpose of this paper is to examine when, where and how Taiwanese high-performance organizations manage and deploy interorganizational renqing across their business relationship portfolios. Answering these questions can help build a theory of interorganizational renqing and advance interorganizational reciprocity theorization more generally.

This research is motivated by two key research questions. First is related to how renqing givers understand renqing in the context of their organizations and their interorganizational business relationship portfolios. Second, whether organizations prefer a neutral renqing balance, a renqing debt or a renqing surplus is another point of interest. The study is based on interviews with upper echelon elite informants at six high-performing Taiwanese organizations with business relationship portfolios worldwide.

It is found that interorganizational renqing is deployed as a hybrid resource, taking on the functions of both an investment and a type of insurance against risk. Two notable differences between interorganizational and interpersonal renqing are also noted. First, the social exchange norm aspect of renqing points to salient social exchange norms also in interorganizational exchanges. This confirms the importance of understanding not only the regulative and normative dimensions of business relationships, as a type of institution, but also the cognitive dimensions and underlying institutional logics. Second, this study shows that unlike at the interpersonal level, the notion of renqing debt is not common at the interorganizational level – at least not within high-performance organizations with market leader positions.

This study explores interorganizational renqing practices and their strategic deployment through the use of “accessing” and “embedding” relational mechanisms. The study also adds to the poorly understood nature of interorganizational reciprocity and provides support for developing a theory of interorganizational renqing, as a form of interorganizational reciprocity within a Chinese cultural context.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

Globally millions of children have a parent who is imprisoned. Research suggests that this has an adverse impact on the child and imprisonment of a parent is considered to be an adverse childhood experience (ACE). Parental incarceration will not only affect the child but the entire household and may result in further ACEs such as household dysfunction and parental separation making this group of children particularly vulnerable. This scoping review aims to adopt an international perspective to comprehensively examine the extent range and nature of literature both published and grey relating to parental incarceration and the potential impact on children’s emotional and mental health.

In this scoping review, the five stages identified by Arksey and O’Malley (2005) were used including identifying the research question, identifying relevant studies, study selection, charting data, collating, summarising and reporting results. In addition, the included studies were appraised for quality using methodology-specific tools. A critical narrative synthesis was adopted to present findings and discussion.

Nine studies met the inclusion criteria. Of the included studies, eight were retrieved from peer-reviewed journals and one from grey literature searching. Five categories with subcategories were identified affecting children’s mental health: 1) Relationships: parent and incarcerated child relationship; facilitators and barriers to maintaining contact; 2) Family structure; maternal or paternal incarceration; living arrangements during parental incarceration; 3) Children’s emotions: emotional recognition and regulation; resilience; 4) Prison stigma: social stigma; shame and secrecy; 5) Structural disadvantages: poverty; race/ethnicity.

This scoping review has highlighted how the imprisonment of a parent negatively affects their children’s emotional and mental health. Factors negatively impacting children’s emotional and mental health are interrelated and complex. Further research is required, including differences between paternal and maternal incarceration; impact of gender and age of child; poverty as an ACE and prison exacerbating this; and effects of ethnicity and race. An important policy direction is in developing an effective way of capturing the parental status of a prisoner to ensure that the child and family receive needed support.

Digital transformation shapes industries and influences the forms of collaboration between companies. This study aims to investigate digital business strategy as a key to facilitating collaboration beyond organizational boundaries.

The study focuses on the connection between digital business strategy and collaboration performance. The authors identify five types of digital business strategy elements based on the literature: development, objectives, resources, management capabilities, and digital leadership. The authors then studied the implications of these elements for collaboration performance using a survey. The study’s empirical data were collected from manufacturing and service companies, and 202 valid responses were received. The implications of the research elements were tested through regression analysis, which included the moderating effects of digitally enabled performance measurement.

The theoretical research framework identifies digital business strategy as a key determinant of collaboration performance, thus advancing the understanding of how companies can utilize digital business strategies and achieve enhanced collaboration performance. The results also show that the effect of digital business strategy on collaboration performance may be moderated by digitally enabled performance management.

The results suggest that management capabilities associated with digital strategy are a crucial element in positively influencing collaboration performance. Further, digital strategy-related resources can be better managed with digitally enabled performance measurement system, which is reflected in improved collaborative performance. Thus, companies should invest in management capabilities and connect their digital business strategies and performance measurement systems to develop collaboration in digital transformation.

The study is among the first to translate an empirical understanding of the digital transformation of small and medium-sized companies into a conceptual framework of a digital business strategy.

This study addresses the pivotal role of digital transformation (DT) in the post-pandemic business landscape, identifying a notable gap in comprehending strategic adaptations and digital communication amidst the complexities of the digital era. It seeks to illuminate practical insights for businesses navigating through DT by intertwining its technological and organizational aspects.

Employing a conceptual approach, this paper synthesizes existing literature and theoretical frameworks related to DT, integrating its technological, strategic and organizational dimensions. It utilizes real-world instances to elucidate the digital era’s practical implications and strategic adaptations. The study also proposes a research agenda that spotlights pressing DT issues, challenges and actionable strategies for businesses.

Despite DT’s inherent complexity, the paper reveals that it is crucial for businesses navigating the contemporary digital landscape. It underscores the importance of strategic adaptations in DT, highlighting their implications on customer experiences and organizational structures amidst the evolving technological and market dynamics. Moreover, it accentuates the significance of effective digital communication strategies in enhancing user experiences and conveying value propositions adeptly.

This paper brings vital aspects of DT impacting modern organizations, offering invaluable insights for practitioners and scholars aiming to comprehend and navigate DT’s complexities. The identified research gaps underscore the necessity for further exploration, aiming to broaden DT’s theoretical and practical facets.

Prior studies suggest that, in an industry in which several public firms operate (i.e. greater public firm presence), uncertainty about business operations within the industry is reduced due to greater analyst coverage and quality of information disclosure. In this study, the authors examine how UK private firms respond to investment opportunities in fixed intangible assets (FIAs) in an environment characterised by greater public firm presence (PFP).

Using data from 61,278 (1,358) private (public) UK firms operating in ten sectors spanning from 2006 to 2016, the authors conduct this analysis by using panel econometric techniques.

The authors observe that private firms are more responsive to their FIA investment opportunities when they operate in industries with more PFP. Also, the authors find that firms in industries with better information quality use more debt and have longer debt maturity security but less internal cash flow. Overall, the findings indicate that PFP generates positive externalities for private firms by lessening industry uncertainty and enhancing more efficient FIA investment. The results are robust to endogeneity concerns.

A key limitation of the study is that it focuses on a single country (the UK) and therefore there is a likelihood that the results found are specific to this setting but not others, particularly developing and emerging economies. Thus, future studies could explore these ideas from the viewpoint of multiple countries.

Overall, the study demonstrates the importance of information disclosure in driving investment decisions of firms.

While this paper builds on the information disclosure and corporate investment literature, it is one of the first attempts, to the best of the authors’ knowledge, to explore how private UK firms respond to investment in FIAs in an environment characterised by greater PFP.