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This paper examines the state’s accountability to its citizens, in particular the First Peoples of settler colonial nations such as Australia, and how these responsibilities may be enacted via a process of compensatory justice in Native Title claims. We focus on the landmark Timber Creek ruling and the impacts of racialized preconceptions on the accountability outcomes of the case.

This study draws on critical race theory to reveal embedded racialised perspectives that perpetuate exclusion and discriminatory outcomes. Court documents including hearing transcripts, case judgements, witness statements, appellant and respondent submissions, expert reports and responses from First Nations leaders, form the basis of our analysis.

The case highlights how the compensation awarded to Native Title holders was based on racialised assumptions that prioritised neoliberal values, commercial activities and reaching a “socially acceptable” judgement over valuing Aboriginal uses of land. A critical analysis of court documents reveals the pervasiveness of presumed “objectivity” in the use of accounting tools to calculate economic value and the accountability implications of a process based on litigation, not negotiation. These findings reveal the hiding places offered by calculative practices that equate neoliberal priorities with accountability and reaffirm the importance of alternative accountings to resist inequitable distributive outcomes.

Novel insights, drawing on First Nations peoples’ connections to land and their perspectives on accountability and justice, are offered in this study. Our analysis of Native Title holders’ submissions to the courts alongside historical and anthropological sources leads to the conclusion that compensation decisions regarding Native Title land must be approached from the perspective of Aboriginal landowners if accountable outcomes are to be achieved.

The architectural profession faces an increasingly complex ethical landscape. In recent decades, the ethical foundations for architecture – formally defined in professional codes of conduct and reflected in regulatory frameworks – have expanded to incorporate imperatives derived from environmental and social responsibilities. The present research examines how these expanding ethical expectations are reflected in, and supported by, recent research about architectural ethics.

Analysis is based on a systematic review of recent research (2002–2023) focussing on ethical values and associated behaviours in the architectural profession. The review identifies 37 research articles (from a starting set of 2,483 articles), which are analysed empirically and then qualitatively to draw out views around three types of ethical behaviour. The paper then discusses how these findings align thematically with the evolving ethical needs of architectural practitioners (as defined in the professional codes of ethics and conduct of the RIBA in the UK, AIA in Australia and the AIA in the USA).

While business ethics remains the focus of past research, there has been a rise in research about ethics and social and environmental factors. The content of professional codes reflects this shift, setting the conditions for architects to aspire to increased expectations of environmental and social responsibility.

This article undertakes the first systematic review of recent research about architectural ethics and its alignment with the content of contemporary professional codes. Organised thematically, recent research about ethical values and associated behaviours can offer guidance for the evolving ethical needs of architects.

Special economic zones (SEZs) typically require high-quality service and infrastructure, as well as the presence of skilled and experienced facilities managers. However, the zones face several challenges in terms of facility management, such as poor infrastructure and an unprofessional approach to facilities management (FM). Using two public SEZs, this study aims to examine the drivers of effective facilities management practices, evaluate management strategies and explore challenges that prevent the zones’ effective facilities management.

The study uses a mixed-method research approach to collect data from selected investors and facilities managers, with primary data collected through a questionnaire to 101 respondents and interviews conducted with 8 facilities managers. Interpretive analysis was used to analyse qualitative data, while descriptive analysis was used to analyse data collected through a survey.

The results show that FM in the zones is highly in-house, with facilities managers’ roles only seen as critical during the occupation stage, little involvement during the construction stage and no involvement at all during the design stage. The analysis of the drivers for effective FM practices reveals a disparity between what is occurring on the ground and best practices. Furthermore, investors were dissatisfied with the quality of facilities management practices, the competence of facilities managers in carrying out their facilities management responsibilities and the time required to deliver services.

This study proposed a conceptual framework that guides policymakers and other stakeholders on properly managing PSEZs to attract investors’ interest. The study also calls for professional FM in PSEZs, policy intervention to separate government ownership from Zone management and addressing problems that impede zone competitiveness.

This paper aims (1) to create a sense of resonance with Maida Herman Solomon and her ideas, (2) to inspire a reconsideration of current management history (the unquestioned block box of dominant figures, dominant foci and dominant practices), (3) to bring Solomon’s contributions to clinical social work into present discourse in management and organizational studies and (4) to foster recognition for Solomon in her own field of social work, as forerunner in a developing profession. Guiding this study is the question: “What are Solomon’s key contributions and why is she overlooked?”

This paper features a novel methodology, ficto-feminism. The feminism in ficto-feminism is presented as ontology, epistemology, method and mode of writing. Ficto-feminism combines polemical (or prowoman writing) with aspects of collective biography, autoethnography and fictocriticism. As such, the paper contributes to the emerging feminist tradition of writing differently. The approach is an embodied and reflexive approach that engages with history to investigate the absence of women.

Maida Solomon was an educator, researcher, practitioner and advocate. Her contributions to the development and practice of clinical social work spanned over 60 years, and yet, she is little more than a footnote in the history of the field. Her contributions include authoring and implementing graduate programming, which continues to be the taken for granted training; penning some of the most seminal works and advancing theory; introducing academic and scientific approaches, which saw the field professionalize and adopt new standards; and helping to change the way that society thought about mental health and sexual health. A confluence of factors contributes to her marginalization and neglect: gender, ethnicity, the feminized field of social work and the stigmatized focus for her practice.

The paper combines assertive autobiographical and literary strategies to foreground an overlooked female leader in the field of clinical social work, namely, Maida Solomon. Drawing on biographical material, literature, media and archival material, this paper features a fictional but truthful conversation between the present-day author/writer/historian and the posthumous, historical protagonist (Maida Solomon). In so doing, the engagement with history is both one that deconstructs while reconstructing a historical account with both aesthetic and political implications.

The study aims to investigate the persistence of seasonal anomalies during religious holidays in emerging markets.

The authors select the Bombay Stock Exchange and National Stock Exchange stock returns from January 1990 to December 2022. The GARCH family models were adopted to examine the mean-variance returns associated with symmetric and asymmetric effects. The ARIMAX model is used to investigate the exogenous order during the pre-mandated and post-mandated trading holidays.

The results show that the persistence of returns and volatility during religious holidays significantly when subjected to specific religious holidays. The authors also found that volatility during religious festivals dipped during the pre-holiday and gradually increased after the events. The findings suggest that religious holiday anomalies exhibit a trivial significant effect on stock market returns and this effect is waning.

The findings provide investors and market regulators with a better understanding of market anomalies related to religious practices. During these periods, investors may experience substantial fluctuations in their portfolios, potentially leading to significant losses or payoffs. Investors can sustain substantial losses or payoffs and market manipulation by adjusting their strategies around religious holidays to account for potential volatility, albeit temporarily.

This study contributes to behavioural finance literature that suggests that beliefs and cultural aspects determine a country’s stock market inefficiency. To the best of the authors’ knowledge, no previous study has comprehensively examined threshold religious holidays across diverse religions in Indian market using long-memory data.

To the best of the authors’ knowledge, this study is the first to investigate the intricate relationship between crude oil spot and futures prices, focusing on both cointegration and market efficiency during the COVID-19 pandemic, and the beginning of the Russia–Ukraine conflict. Using daily West Texas Intermediate data from January 2020 to March 2024, like Cunado and Pérez de Gracia (2003), the authors use advanced statistical methods to identify structural breaks and assess cointegration levels. Linear and nonlinear Granger causality tests are used to reveal underlying dynamics.

This paper uses the Lagrange Multiplier test by Arai and Kurozumi (2007) to check for cointegration with various shifts in crude oil spot and futures markets. The two-step procedure by Kejriwal and Perron (2010) and Kejriwal et al. (2022) is then applied to assess partial parameter stability in cointegration models. Efficiency is examined using both bivariate and trivariate models based on non-arbitrage and expectations hypotheses. Finally, causality is analyzed with the vector error correction model for linear Granger causality, and the tests by Bai et al. (2018) and Diks and Panchenko (2006) for nonlinear causality.

The analysis reveals that futures prices generally lead spot prices through both linear and nonlinear causality during certain periods, while only linear causality is present in others. This inconsistency suggests fluctuating market efficiency and potential arbitrage opportunities. Structural breaks indicate that the equilibrium between spot and futures prices adjusts in response to significant events like the COVID-19 pandemic and the Russia–Ukraine war. The study identifies specific periods, particularly between January 2020 and March 2024, where both linear and nonlinear forecasting between futures and spot oil prices are effective, highlighting the dynamic nature of their relationship.

Despite extensive efforts, pinpointing the exact break date for COVID-19 remains challenging due to limitations in the data set and methodology. Additionally, the analysis of the Russia–Ukraine conflict is still ongoing. These challenges highlight the complexity of addressing structural breaks linked to unprecedented events.

The findings offer valuable insights for both academia and industry practitioners. The study reveals potential arbitrage opportunities stemming from inconsistent market efficiency and fluctuating causality between futures and spot prices, allowing traders to optimize their trades and timing. It also enhances risk management by identifying when linear and nonlinear causality is most effective. Policymakers can use these insights to evaluate market stability, especially during major disruptions such as the COVID-19 pandemic and geopolitical conflicts, guiding regulatory decisions. Furthermore, the study highlights the importance for investors to adjust their strategies in response to structural breaks and evolving market conditions.

This study’s social implications are diverse, extending beyond finance and academia. It influences economic stability by revealing inefficiencies and arbitrage opportunities in crude oil markets, aiding better resource allocation. Enhanced transparency benefits stakeholders, promoting fair market practices and consumer protection. Policymakers can refine regulations based on identified structural breaks, ensuring market stability. The study indirectly impacts environmental discussions by examining crude oil’s link to global energy consumption. Financially, it guides investment strategies, influencing resource distribution and the broader economy. Additionally, its educational contribution stimulates academic discourse, fostering growth in energy economics and financial market knowledge, shaping future research.

The originality and value of this paper lie in its comprehensive examination of the dynamic relationship between futures and spot oil prices, particularly through both linear and nonlinear causality across different periods. By identifying and analyzing periods of both linear and nonlinear causality, the study uncovers fluctuating market efficiency and potential arbitrage opportunities that are not typically addressed in conventional analyses. Additionally, the paper’s focus on the impact of significant global events, such as the COVID-19 pandemic and the Russia–Ukraine war, on the equilibrium between spot and futures prices offers a novel perspective on how structural breaks influence market dynamics. This nuanced understanding enhances both theoretical and practical knowledge, offering valuable insights for traders, investors and policymakers to navigate and respond to evolving market conditions.

This study examines the relationship between board gender diversity (BGD) and financial performance (FP) in the Malaysian emerging market, focusing on the mediating role of Environmental, Social and Governance (ESG) performance.

Using a dataset of 976 observations from Malaysian publicly listed companies from 2016 to 2023, this study explores BGD as the independent variable with FP measured through both accounting and market metrics. ESG performance serves as a mediating variable. The analysis employs Structural Equation Modelling (SEM) to examine direct and mediating effects, supplemented by the Baron and Kenny approach and Two-Stage Least Squares (2SLS) regression for robustness.

The findings indicate that higher BGD positively and significantly impacts all three performance measures: Tobin's Q (TQ), Return on Assets (ROA) and Return on Equity (ROE). ESG performance positively influences these measures. The SEM analysis reveals a significant positive impact of BGD on ESG performance, which fully mediates the relationship between BGD and TQ/ROA and partially mediates the relationship between BGD and ROE.

The results have significant implications for policymakers, board members, scholars and investors, stressing the importance of gender diversity and ESG performance in improving FP. The findings suggest that enhancing board effectiveness through BGD can promote sustainable practices and align corporate strategies with broader sustainability goals, which eventually helps to improve companies’ FP.

This research contributes to the literature by highlighting the mediating role of ESG performance in the relationship between BGD and FP and emphasizing the importance of gender diversity in corporate sustainability. It addresses this gap by providing insights into how ESG performance enhances the impact of BGD on FP.

Make-to-order (MTO) manufacturers often receive lead time-sensitive orders requiring multiple custom parts not commonly in stock. These irregular orders can be challenging to manage across numerous suppliers, resulting in high costs and associated risks in completing orders on time. Many MTO manufacturers develop relationships with multiple sourcing suppliers, spreading risk and ensuring delivery performance at a reasonable cost. These relationships, however, result in an order allocation problem. The purpose of this study is to consider previously proposed frontier portfolio solution methodologies used in sourcing selection and improve upon an identified weakness to improve the evaluation and selection of order quantities across multiple suppliers.

This paper analyzes an existing frontier portfolio selection model where potentially inefficient portfolios are selected and considered. The authors propose introducing a data envelopment analysis (DEA) technique paired with the frontier portfolio selection model to eliminate inefficient portfolios from being considered to help MTO manufacturers determine allocations by calculating and evaluating two factors: on-time probability and associated cost.

While previously proposed frontier models provide mechanisms to allocate orders across different suppliers to meet variable service levels and costs, this study finds model improvements to eliminate inefficient portfolios to facilitate better decisions for order allocation. This study finds a more efficient potential solution using a frontier method paired with DEA to help the MTO manufacturer select sourcing partners and determine the associated quantity allocation for each chosen supplier. The technique provides flexibility, resulting in a range of options to solve the dilemma with differing emphasis on due dates and costs.

The proposed method provides a pool of more efficient frontier portfolios ranging from higher on-time probability and higher cost to less on-time likelihood and lower cost, resulting in less chance of an inefficient portfolio choice. Such a design ensures that regardless of the preference and specific need criteria (cost versus on-time delivery), MTO manufacturers have flexibility in choosing an optimal solution.

This paper extends an existing model of supplier selection to improve selection quality based on a DEA technique to remove inefficient portfolios.

Lack of trust in construction projects will lead to poor project performance or project failure, indicating the importance of trust-building. Existing studies have developed various trust models, while most studies covered limited trust factors, failed to clarify their meanings and relationships or lacked qualitative or quantitative evidence. Thus, this study aims to develop a measurement model of trust in construction projects with theoretical justification as well as qualitative and quantitative data.

A literature review was conducted to identify conceptual types, factors and indicators of trust. Individual interviews and focus groups were performed to test the proposed framework with qualitative data. A survey and confirmatory factor analysis (CFA) method were utilized to build the measurement model of trust using quantitative data in BIM-assisted projects.

The proposed trust framework covered the four conceptual types, four factors (integrity, competency, benevolence and commitment) and 13 indicators, supported by the results of interviews and focus groups. The measurement model of trust from CFA results supported the significant, positive, and one-to-one relationships between 13 indicators and four factors of trust in BIM-assisted projects.

Theoretically, the study provides new insights into the multi-dimensional nature of trust. In practice, the findings could facilitate trustors and trustees to better understand, build, measure and enhance trust in construction projects.

The COVID-19 epidemic caused significant disruptions to numerous supply chains. In order to enhance the resilience of supply chains, Collaboration (CO), Information Alignment (IA), and Big Data Analytics Capability (BDAC) have emerged as contemporary strategies within the humanitarian context. This study was conducted to explore the mechanism via which the effect of BDAC, IA and CO on Humanitarian Supply Chain Resilience (HSCR) in the humanitarian space could be optimized through Organizational Flexibility (OF).

A model of six hypotheses was developed based on the Organizational Information Processing Theory (OIPT). Data from 127 supply chain managers in humanitarian organizations were used to test the hypotheses. The analysis employed both descriptive and inferential statistics using SPSS version 26 and Smart-PLS version 3.

The study revealed that BDAC, IA, and CO individually influence supply chain resilience in the humanitarian setting while OF did not moderate the relationship between BDAC, IA, CO, and HSCR.

It is essential that humanitarian stakeholders prioritize factors that could increase supply chain resilience by employing contemporary BDA technologies, effective information flow, and collaborative strategies to set up a robust humanitarian SC system that could help lessen the impact of disasters.

This presents interesting insights that advance theoretical debates on how CO, IA, and BDAC under varying levels of OF could influence SCR in the humanitarian context. The paper further offers some useful guidance to managers in relief organizations who desire to build resilient supply chains by leveraging BDAC, collaboration and information alignment. Finally, the paper may also provoke future humanitarian scholars to replicate the study using different approaches.