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The implementation of value management (VM) principles in stealth construction projects is explored comprehensively in the chapter. It elucidated how VM positively influences various facets of construction, including environmental protection, health and safety, project delivery duration, economy, and aesthetics. Applying VM techniques, such as proactive risk management, resource optimisation, and stakeholder collaboration, is essential for achieving project objectives while ensuring sustainability, efficiency, and stakeholder satisfaction. Furthermore, the chapter emphasises VM’s benefits, challenges, and relevance across all stages of the construction lifecycle, from pre-construction planning to post-construction evaluation, underscoring its integral role in driving continuous improvement and innovation in the construction industry. Overall, the discourse emphasises the importance of VM in optimising outcomes and maximising value in stealth construction projects.

An effective firm strategy is key to sustained financial performance, while interactions between strategy, employee retention and top talent retention have been seldom explored. We test hypotheses using New Zealand SMEs which are defined as having up to 250 employees. We initially explore firm strategy using Porters competitive advantage model predicting employee retention (including top talent), with study 1 (n = 208) using firm size as a moderator, finding a direct significant relationship from firm strategy toward employee retention. Next, we explore firm strategy predicting firm performance with employee retention mediating and include firm size as a moderator, testing a moderated mediation model in study 2 (n = 474) and study 3 (n = 300, with time-lagged performance).

There are no open databases holding NZ firms’ performance data and thus data was sourced from a Qualtrics survey panel. Such panels have become more common (e.g. Haar et al., 2021a, b) and a recent meta-analysis by Walter et al. (2019) showed that this type of panel data was no different from data sourced through conventional means (i.e. mail survey). We focused on NZ private sector SMEs using senior managers across a range of industries and geographic locations. Because the influence of firm strategy on employee retention remains unknown in the literature, we conducted study 1 (n = 208) to test the initial part of our overall model. Study 2 (n = 474) and study 3 (n = 300) tested the full model (with organizational performance), with study 3 having organizational performance time-lagged by one month.

All direct effect hypotheses are supported, although firm size interacted significantly with firm strategy showing smaller not larger-sized firms leverage firm strategy to achieve superior retention benefits. This was against hypothesis 5a in all three studies. Studies 2 and 3 supported the moderated mediation hypothesis, with firms of larger size having a stronger indirect effect from firm strategy on firm performance while employee retention mediated the influence of firm strategy on firm performance. Finally, dominance analysis found that a quality differentiation strategy was the key strategy across all studies and outcomes. We discuss the implications for organizations.

The first managerial implication from the study is that small and medium sized firms would benefit both from developing a deeper understanding of the strategic alternatives open to them and placing a greater emphasis on the implementation of their selected strategic approach. A second managerial implication relates to findings indicating that retention generally, and top talent retention specifically, is positively related to firm strategy and firm performance. Given the importance and challenges of staff retention, particularly in the current environment where there are significant skill shortages, these results suggest that small and medium sized business would benefit from considering how strategy can create an organizational environment that is attractive to employees and support stronger retention outcomes as a mechanism for driving both retention and performance.

The study makes three major contributions. First, it examines firm strategy and extends the focus on firm performance by including not only employee retention but also top talent retention, responding in part to the call to develop and refine performance measures (Lieberman, 2021). Second, beyond using retention as a mediator, firm size is included as a moderator and a moderated mediation model is ultimately tested. Third, we conduct dominance analysis to identify the key firm strategy that influences firm performance and retention. Ultimately, this paper asks: what is the role of firm strategy on New Zealand SME performance, and what influence does retention and relative firm-size play.

Small-to-medium-sized enterprises (SMEs) in e-commerce often invest in information technology (IT) to stay competitive. However, whether and how IT capability (ITC) translates into financial performance requires further research. This paper examines the role of ITC in enabling value proposition innovation (VPI) as an important mechanism that improves financial performance for Chinese e-commerce SMEs during the COVID-19 pandemic. We argue that ITC is critical for enabling innovation because it elevates SMEs’ understanding of changing customer needs, especially when SMEs operate on multiple e-commerce platforms (multihome).

We used partial least squares structural equation modeling (PLS-SEM) and tested the hypotheses that ITC mediated by VPI and moderated by multihoming increases the financial performance of e-commerce SMEs through a survey among 206 Chinese SMEs operating on Taobao.

We find that not only higher levels of ITC lead to better financial performance, but also that the effect is fully mediated by VPI. Moreover, the effect of ITC on innovation is enhanced when vendors operate on multiple platforms.

The study identifies VPI as an important mechanism through which SMEs can leverage their ITC to adapt, innovate and thrive in competition. Our work suggests that using technology to develop innovative ideas and identify opportunities (which are reflected in VPI) is key to success and that doing so is more likely when vendors multihome. Thus, this study contributes to the innovation literature by explicating a concrete link between ITC, multihoming, VPI and increased financial performance. Different e-commerce stakeholders, including SME owners, IT and service providers and e-commerce platforms, can benefit from the findings of this work.

This study aims to evaluate the adequacy of climate risk disclosure by providing empirical evidence on whether corporate disclosure meets rising stakeholders’ demand for risk disclosure concerning climate change.

Drawing on a triangulated approach for collecting data from multiple sources in a longitudinal study, we perform a panel regression analysis on a sample of multinational firms between 2007 and 2021. Inspired by the Global Reporting Initiative (GRI) principles, our innovative and inclusive model of measuring firm-level climate risks underscores the urgent need to redefine materiality from a broader value creation (rather than only financial) perspective, including the impact on sustainable development.

The findings of this study provide evidence of limited corporate climate risk disclosure, indicating that organisations have yet to accept the reality of climate-related risks. An additional finding supports the existence of a nexus between higher corporate environmental disclosure and higher corporate resilience to material financial and environmental risks, rather than pervasive sustainability risk disclosure.

We argue that a mechanical process for climate-related risk disclosure can limit related disclosure variability, risk reporting priority selection, thereby broadening the short-term perspective on financial materiality assessment for disclosure.

This study extends recent literature on the adequacy of corporate risk disclosure, highlighting the importance of disclosing material sustainability risks from the perspectives of different stakeholder groups for long-term success. Corporate management should place climate-related risks at the centre of their disclosure strategies. We argue that reducing the systematic underestimation of climate-related risks and variations in their disclosure practices may require regulations that enhance corporate perceptions and responses to these risks.

This study emphasises the importance of reconceptualising materiality from a multidimensional value creation standpoint, encapsulating financial and sustainable development considerations. This novel model of assessing firm-level climate risk, based on the GRI principles, underscores the necessity of developing a more comprehensive approach to evaluating materiality.

In response to the worsening environmental crisis, there have been multiple calls for sustainable supply chain management (SSCM) scholars and practitioners to adopt a “business-not-as-usual” approach based on justice, fairness, equity and sustainability. We add to this literature by proposing environmental justice (EJ) as a key concept for the theory and practice of SSCM.

This conceptual article builds SSCM theory on EJ and contributes to supply chain justice research and practice by introducing the concept of the “environmentally just supply chain” and presenting pathways for operationalizing it in practice.

Three pathways are proposed to leverage transformative SSCM to create environmentally just supply chains: human rights due diligence, resilience thinking and coproduction of environmentally just supply chains.

The three pathways can be used by actors within a supply chain to create environmentally just supply chains.

This article extends transformative, non-instrumental perspectives on environmental sustainability within SSCM scholarship to provide insights into how supply chains can be transformed through EJ. Not only does the article show the relevance of EJ for SSCM theory and practice, but it elaborates pathways for moving from harm reduction to transformative sustainability actions.

The purpose of this paper is to determine if companies in the modular and offsite construction (MOC) industry are agile or not and its level of application for agility principles, which allows for quick responses to the increasingly dynamic nature of industry environments.

This paper proposes an agility assessment framework for MOC that uses 48 assessment attributes organized into four categories: metrics, drivers, enablers and capabilities. A questionnaire approach was used to disseminate the framework globally in 19 countries and synthesize its relevance to the MOC industry. The questionnaire had 55 complete responses, majority of respondents work in managerial positions for MOC manufacturing facilities and onsite general contractors.

It was found that the lowest metric score for adapting to change was for cost since controlling cost would be difficult for any changes required after the design freeze stage. The top agility driver was found to be the need to respond to the wide variety of customer expectations, while the lowest driver was the existence of competing priorities. The top agility enabler was vendor partnership, which can be related to current postpandemic supply chain disruptions. Regarding technological capabilities, Europe and the USA acquired better scores compared to Asia, Latin America and Africa.

This study contributes to the MOC body of knowledge by creating an agility assessment tool for MOC firms to analyze their agile approach and environment, identifying the preliminary importance of agility assessment attributes and determining significant agile differences between the main MOC industry groups.

Housing finance is frequently difficult to provide in developing nations due to unstable macroeconomic conditions and a lack of supportive legal, technological and regulatory frameworks (Lea and Bernstein, 1996). Governments in these countries have, therefore, created a range of organizations and initiatives to improve the flow of capital to the housing market on a footing that is affordable to their populations given the household income levels (Ram and Needham, 2016). Housing, however, is by its very nature a significant investment requiring a considerable capital outlay at the onset (Dasgupta et al., 2014). This makes acquiring it challenging, particularly in underdeveloped nations where saving tendencies are quite low partly because of low-income levels (Keller and Mukudi-Omwami, 2017). As a result, many developing nations struggle with severe housing issues that lead to slums, overcrowding and related health issues.

The theoretical model for analyzing housing finance in Kenya in this study incorporates both demand and supply aspects, drawing from Brueckner’s (1994) framework. This model divides factors influencing demand into certainty and uncertainty conditions faced by households. In terms of certainty, the model considers factors that households can predict reliably. First is income, households are assumed to have stable income, allowing accurate assessment of budget constraints and mortgage decisions. Second is interest rates. While interest rates fluctuate, the model assumes that households have information about current rates, enabling informed decision-making. Finally, existing housing costs, such as rent or mortgage payments, are treated as fixed and predictable, facilitating accurate budget planning. Conversely, uncertainty factors include future income, future interest rates and housing prices. Households face uncertainty regarding future income, which can impact their mortgage repayment ability due to job market changes or unforeseen events. The model does not predict future interest rate changes, which can affect the affordability of mortgages. Furthermore, future fluctuations in housing prices add uncertainty to the benefits of homeownership and mortgage debt. Due to these uncertainties, the model in this study assumes certainty conditions, focusing on households maximizing their utility. In Brueckner’s model, a utility function captures household preferences and well-being linked to consumption choices, specifically between housing (H) and nonhousing goods (N). The utility function helps determine optimal income allocation, influenced by income (M), prices (P) and return on savings (t). The utility maximization problem involves selecting optimal amounts of housing and nonhousing consumption while managing housing credit (C).

The study confirms a significant long-run relationship between house finance and several macroeconomic variables, including interest rates on credit, inflation, unemployment and gross domestic product (GDP). The negative and significant error correction term indicates the presence of an equilibrium relationship, suggesting that the housing finance market in Kenya self-corrects swiftly in response to economic shocks. This efficiency could be attributed to increasing competition among financial institutions or a growing public awareness of housing finance options, implying a relatively well-developed market. Such responsiveness suggests that government policies aimed at influencing housing finance might have a quicker impact. For instance, introducing subsidies to reduce credit rates could rapidly boost housing finance activity (World Bank, 2019). However, the flip side of a fast-adjusting market is potential volatility, where rapid swings in economic factors could lead to significant fluctuations in housing finance availability, posing risks for both lenders and borrowers (Braun et al., 2022). Moreover, a rapid adjustment might not necessarily reflect a perfectly healthy market; it could indicate underlying issues like speculation or easy access to credit, potentially leading to bubbles or financial instability (Agnello et al., 2020).

This study reveals key insights into the determinants of housing finance in Kenya, demonstrating a significant long-run relationship between housing finance and economic variables such as interest rates, inflation, unemployment and GDP. The efficient adjustment of the housing finance market to economic changes suggests that government policies can rapidly influence housing finance, although this responsiveness also implies potential volatility and risks, including financial instability. Policymakers should, therefore, focus on maintaining macroeconomic stability and monitoring the housing market for signs of overheating. Encouraging competition among lenders and diversifying housing finance products can help ensure sustainable market adjustments. Credit interest rates show a modest but positive relationship with housing finance, suggesting that a stable lending environment could stimulate activity. Policymakers should manage credit availability to prevent excessive expansion and instability, enhancing financial inclusion and fostering competition in the banking sector. Inflation positively impacts housing finance, with rising inflation driving demand for real assets like housing. However, significant interest rate hikes by the Central Bank to combat inflation could reduce mortgage affordability. A flexible interest rate policy, along with targeted interventions like subsidized rates for first-time buyers, is necessary to balance market stimulation with inflation control. Unemployment’s negative impact on housing finance underscores the need for robust unemployment benefits and job training initiatives to support financial stability during job losses. Targeted housing finance programs for low- and middle-income earners can also improve mortgage accessibility. The positive correlation between GDP growth and housing finance indicates that economic expansion drives housing demand. Policymakers should prioritize initiatives that promote long-term economic growth, such as infrastructure development and innovation. Finally, the insignificance of savings interest rates in influencing housing finance suggests that traditional monetary policy may have limited effects. Promoting financial literacy and developing tailored savings instruments could strengthen the connection between savings and housing finance over time.

This paper aims to explore sociocultural factors as determinants of entrepreneurial emergence and to examine their relative influence (i.e. the influence of each factor) on entrepreneurial emergence.

A survey design with a questionnaire instrument administered to 250 business owners selected randomly from a cross section of businesses was used. The data were analyzed using the descriptive method, pairwise comparison, Kendall’s W test and Mean Rank Statistics.

This study showed that the level of influence of sociocultural factors on the decision to own a business by an individual in Africa varies by factor. Family background is the factor that has the highest influence, whereas religious values has the least influence. Altogether, nine most significant factors influence the choice of business ownership in Nigeria and in Africa generally. These include family background, unemployment, family values, inadequate income, job displacement, stock of social capital, role models, social networks and lack of social security, in that order.

Although some scholars may have explored sociocultural factors as determinants of entrepreneurial emergence, there is no study on their relative influence on entrepreneurial emergence, at least not in the context of Africa or Nigeria in particular. This study extends previous studies by examining the relative influence of the factors, using Nigeria as a reference for Africa. A focus on their relative influence is a new perspective on the study of sociocultural factors as determinants of entrepreneurial emergence.

The positive correlation between students’ internship and employability is well documented. However, there is no consensus on its relationship with academic performance. Previous studies investigated the Bachelor level: in the UK, the so-called sandwich placement is positively correlated; in the US, the results are mixed. This study aims to expand the scientific literature and focuses on Politecnico di Torino, Italy: the cases of the Industrial and Management Engineering Bachelor (BA) and Master of Science (MS) degree programs are examined.

The academic performance of 2,279 BA students and 2,560 MS students graduated between 2016 and 2021 is examined. Ordinary least square models are employed to test the relationship between grades and internship, controlling for ex ante academic scores, gender, age and geographical origin.

The results show a small robust negative correlation between internship and grades, especially at the bachelor level, where potentially a self-selection occurs. At the master level, the negative relationship is significant but very small and might be partially determined by the marks of the exams substituting the internship.

This study contributes to the empirical research on the relationship between students’ grade and internship and suggests the presence of complementarities in several ways: the Italian context, characterized by an optional internship is examined, both at the BA and MS level. Universities that intend to organize internship as overlapping with lectures and exams should be cautious, especially when considering the BA level students, whose maturity and skills are less developed than MS ones.

This study aims to explore the relationship between digital transformation and resilience development in the Australian food supply chain (FSC), and identify the contribution of digital technologies to it using the dynamic capabilities theory as theoretical lens.

For that, a mixed-method approach was used. It combines both quantitative and qualitative data to identify trends and details of the phenomenon, yielding more robust findings. We firstly collected and analyzing quantitative data obtained from food industry practitioners and, then, qualitative data gathered through semi-structured interviews with experts.

The study findings suggest that the relationship between digital transformation and resilience varies among tiers of the FSC and that digital technologies adoption affects resilience development differently across tiers. This highlights the potential cost savings of developing strategies that jointly address digital transformation and resilience development, improving performance outcomes and determining the extent to which digital technologies enhance or inhibit certain aspects of resilience in the FSC.

The study frames the relationship between digital technologies and resilience within the dynamic capabilities theory and suggests that digitalization can enhance resilience by enabling organizations to sense, seize, and transform strategies. We also provide insights for managers to develop strategies that simultaneously enhance digitalization and resilience, resulting in improved performance during disruptive events.