Search results

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.

This study explores the implementation of personalised information access, driven by machine learning, in Nigerian public libraries. The purpose of this paper is to address existing challenges, enhance the user experience and bridge the digital divide by leveraging advanced technologies.

This study assesses the current state of Nigerian public libraries, emphasising challenges such as underfunding and lack of technology adoption. It proposes the integration of machine learning to provide personalised recommendations, predictive analytics for collection development and improved information retrieval processes.

The findings underscore the transformative potential of machine learning in Nigerian public libraries, offering tailored services, optimising resource allocation and fostering inclusivity. Challenges, including financial constraints and ethical considerations, are acknowledged.

This study contributes to the literature by outlining strategies for responsible implementation and emphasising transparency, user consent and diversity. The research highlights future directions, anticipating advancements in recommendation systems and collaborative efforts for impactful solutions.

In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises.

This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises.

The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance.

This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.

The promotion of autonomous vehicles introduces privacy and security risks, underscoring the pressing need for responsible innovation implementation. To more effectively address the societal risks posed by autonomous vehicles, considering collaborative engagement of key stakeholders is essential. This study aims to provide insights into the governance of potential privacy and security issues in the innovation of autonomous driving technology by analyzing the micro-level decision-making processes of various stakeholders.

For this study, the authors use a nuanced approach, integrating key stakeholder theory, perceived value theory and prospect theory. The study constructs a model based on evolutionary game for the privacy and security governance mechanism of autonomous vehicles, involving enterprises, governments and consumers.

The governance of privacy and security in autonomous driving technology is influenced by key stakeholders’ decision-making behaviors and pivotal factors such as perceived value factors. The study finds that the governmental is influenced to a lesser extent by the decisions of other stakeholders, and factors such as risk preference coefficient, which contribute to perceived value, have a more significant influence than appearance factors like participation costs.

This study lacks an investigation into the risk sensitivity of various stakeholders in different scenarios.

The study delineates the roles and behaviors of key stakeholders and contributes valuable insights toward addressing pertinent risk concerns within the governance of autonomous vehicles. Through the study, the practical application of Responsible Innovation theory has been enriched, addressing the shortcomings in the analysis of micro-level processes within the framework of evolutionary game.

This paper aims to explore how researchers in general, and field researchers in particular, might respond to systems of governance of the researchers' activity in ways that can support rather than distort the quality of the research.

We draw upon literature on serendipity to develop a framework for engaging with the positive and negative potentials of systems of governance. We ground our analysis in discussion of participation in the field comprising two parts: first, the examination of our own activities and second, the accounts of participation found in two career-autobiographical interviews with emeritus professors of management accounting from Japan.

We highlight the potential for a productive tension between two contrasting perspectives that researchers might take on governance of their activity. A contractual perspective sees the value of targets and detailed pre-planning. A reflexive perspective sees the value of exploring the unexpected and considering many alternatives. We offer a framework for considering serendipity and the conditions that facilitate serendipity to help researchers maintain a productive tension between these perspectives.

We build upon retrospective accounts of two successful individuals whose careers evolved in a specific context. The intention is not to set out what might be generally achievable in a research career, nor to propose specific lines of action or planning in relation to specific systems of governance, since these vary across countries and over time. Rather, the paper draws on these materials to illuminate the more general challenge of preparing for serendipity in a way that goes beyond simple opportunism.

We analyse how researchers' mindfulness of serendipity and the nature of contexts that facilitate serendipity can encourage a productive tension between contractual and reflexive perspectives on governance of academic activity.

Teamwork is necessary for engineering to address today’s complex challenges. Therefore, team members must improve their teamwork competencies for more significant team development and effectiveness. This study aimed to analyze how a non-directive coaching intervention model for an entire team influences the individual team members’ teamwork competencies.

Action research was used in this study with a quasi-experimental design featuring control and experimental groups comprising final-year engineering students from Universidad Politécnica de Madrid. The sample included 168 students, with 132 in the control group and 36 in the experimental group. The experimental group underwent a non-directive team coaching intervention involving three sessions. Competencies were evaluated using the teamwork competency test (TWCT), administered at the course’s beginning and end to measure progress.

The results show that the individuals who participated in the team coaching significantly increased their competencies, particularly “conflict resolution” and “feedback.”

This study’s value contributes to identifying the positive impacts of non-directive team coaching interventions on individual teamwork competencies, fostering collaborative skills and supporting collective goals.

This study examines the adoption of information and communication technologies (ICT) for e-recruitment and its impacts on public value outcomes.

A survey was conducted with 213 public sector employees in the federal civil service using a questionnaire to test a conceptual model integrating the Technology Acceptance Model, Media Richness Theory and Public Value Theory using PLS-SEM analysis.

Results validate significant positive relationships between ICT adoption, social media use for e-recruitment and public value creation. Internet self-efficacy positively moderates public value outcomes.

While this study makes valuable contributions, avenues remain to further expand generalizability, strengthen validity and incorporate additional institutional factors in the framework.

The study provides insights to guide policies and interventions aimed at improving ICT adoption success and public value gains from e-government investments in developing countries.

The research makes key contributions by operationalizing and empirically assessing the public value impacts of e-government innovations and examining adoption issues in an understudied developing country context.

This study aims to identify and prioritize barriers to corporate social responsibility (CSR) in the construction sector.

A literature review was first conducted to identify barriers to CSR performance. After that, construction professionals were invited to validate the appropriateness of the obstacles. The discussion allowed the establishment of a list of barriers to CSR performance and their corresponding categories. Data collected from the survey were then analyzed to prioritize the importance of these barriers by the fuzzy DEMATEL-based ANP (DANP) technique.

The findings presented 16 barriers to CSR, which were categorized into four clusters. The fuzzy DANP analysis showed that strategic vision is the most crucial cluster, followed by the measurement system, stakeholder perspective and scarce resources. Among the sixteen barriers examined, lack of awareness, knowledge and information of CSR; low priority of CSR; lack of metrics to quantify CSR benefits; lack of guidelines and coherent strategies; and lack of CSR enforcement mechanism are the five most crucial barriers.

This study is one of the first that proposes a comprehensive model to prioritize barriers to CSR performance of contractors considering their interrelationships. It provides construction stakeholders with a framework for understanding the linkage between the barriers and CSR framework under the umbrella of stakeholder theory. Thus, the findings might assist construction practitioners and academics in fostering the success of CSR implementation.

While uncertainty has always been a feature of the healthcare environment, its pace and scope are rapidly increasing, fueled by myriad factors such as technological advancements, the threat and frequency of disruptive events, global economic developments, and increasing complexity. Contemporary healthcare organizations thus persistently face what is known as “deep uncertainty,” which obscures their ability to predict outcomes of strategic action and decision-making, presenting them with novel challenges and threatening their survival. Persistent, deep uncertainty challenges us to revisit and reconsider how we think about uncertainty and the strategic actions needed by organizations to thrive under these circumstances. Simply put, how can healthcare organizations thrive in the face of deeply uncertain environments? We argue that healthcare organizations need to employ both adaptive and creative strategic approaches in order to effectively meet patients' needs and capture value in the long-term future. The chapter concludes by offering two ways organizations can build the dynamic capabilities needed to employ such approaches.

This study aims to help develop “business principles for stakeholder capitalism” in two steps. First, the study defines internal logic of three theories of capitalism and two variants within each theory. Second, it examines approaches to integration into modern democratic capitalism. Treating the three theories as substitutes identifies relative strengths and weaknesses; complementarity and partial overlap approaches to integration study the institutional settings within which stakeholder capitalism operates. Empirical outcomes reflect competition between market and stakeholder businesses for participants, with institutional conditions determining the scope of collective action.

The approach aligns three typologies in a unique conceptual arrangement defining the three theories of capitalism: forms of capitalism, potential failures of each form and associated types of goods. The first method examines the internal logic of each theory of capitalism. The second draws on traditional narrative review of references documenting each theory of capitalism and variants together with modern Marxist anti-capitalism.

Three typologies align uniquely with the theories of capitalism, each having two variants. Both variants of stakeholder capitalism are compatible with compassionate capitalism, constitutional government or polycentric governance but not with self-interest capitalism, dictatorship or Marxism. A theory of modern democratic capitalism allocates roles for private, club and social goods with empirically variable mixes occurring across countries. Competition among different types of enterprises provides an empirical test for comparative advantages of stakeholder capitalism. Future research should consider approaches for testing the proposed conceptual scheme in practice concerning capacity to deal with grand challenges, wicked problems and black swan events.

Research approach is limited to logical examination of theories and literature documentation without direct empirical confirmation. The study does not address practical implications for managers and public officials or social implications concerning private incentives, stakeholder cooperation or collective action.

Originality lies in shifting terms of debate about stakeholder capitalism from advocacy of substitute theories to understanding of its relationship to market capitalism and collective action capitalism. Value lies in explaining desirability of theoretical integration of three types of capitalism into a comprehensive framework for modern democratic capitalism.