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How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.

We have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.

We propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.

To develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.

The proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.

Despite the global shift toward smart building features and technologies, the level of awareness among stakeholders in Nigeria’s construction sector remains unclear, limiting engagement with these innovations. This study examines the awareness of smart building features and technologies, providing insights to address knowledge gaps and improve understanding within the sector.

This study adopted the quantitative research approach, using a questionnaire survey to obtain data from construction stakeholders that were purposively selected in Lagos State and Abuja, Nigeria. The collected data were analyzed using various statistical tools such as frequencies, percentiles, mean item scores, standard deviation and the Mann–Whitney U test.

From the result of the analysis, the study concluded that the most cognizant smart building features and technology were security doors, escalators and lifts, solar panels and energy-saving equipment, fire alarms, heating, ventilation, air and conditioning.

This study provides insights into the awareness of smart building features and technologies among Nigerian construction stakeholders, bridging theory and practice. It informs policy development, enhances professional knowledge and promotes educational initiatives. Its findings support sustainable construction efforts, potentially improving societal attitudes and quality of life.

This study uniquely explores the level of awareness of smart building features and technologies among clients and professionals in Nigeria’s construction sector. Identifying existing knowledge gaps provides critical insights that can guide efforts to enhance understanding and foster deeper engagement with these innovations.

This study aims to explore the impact of social, financial and institutional factors on women’s entrepreneurship in Vietnam, emphasizing motivation’s role in addressing challenges. Women’s entrepreneurship holds economic significance, driving local economies and creating opportunities. Government efforts to support women entrepreneurs have increased, but research on this in developing economies, especially in Vietnam, is limited.

The paper investigates women’s entrepreneurship in Vietnam, examining social, financial and institutional influences and emphasizing motivation in overcoming challenges. Using a qualitative approach, it conducts in-depth interviews with 28 female entrepreneurs, analyzing data thematically. Methodologically, the study uses purposive sampling, triangulation and member checking to enhance credibility.

Findings reveal key motivations like financial incentives, self-achievement and social impact. These motivations empower women to overcome financial constraints, skill gaps, limited support and societal perceptions. This research guides women entrepreneurs to enhance success through learning, persistence, skill development and self-awareness.

This paper presents a novel exploration into women’s entrepreneurship in Vietnam, offering original insights into the interplay of social, financial and institutional factors, with a spotlight on motivational drivers. It provides unique perspectives on their motivations, challenges and support mechanisms. The study’s contribution lies in its comprehensive understanding of women’s entrepreneurship dynamics in a developing economy like Vietnam, offering valuable insights for policymakers, practitioners and academics alike. Its originality lies in its holistic approach and nuanced examination, enriching the discourse on women’s entrepreneurship in emerging

The purpose of this study was to identify specific enablers intrinsic to integrated project delivery (IPD) that can be adapted into the conventional project delivery (CPD) approach to enhance the quality of design documentation produced under the CPD within the Ghanaian construction industry.

The study employed questionnaires and semi-structured interviews for data collection. The sample size was 235 responses for questionnaires while 15 participants were interviewed. The survey instrument was piloted with industry professionals to ensure validity. IBM SPSS was used to analyze quantitative data by determining frequencies, percentages, correlation and regression, while content analysis was used on qualitative data with the aid of QSR Nvivo software.

Key findings include the need to adapt the early involvement of key participants for collaborative design input, tie individual success to overall project success with incentives and establish shared accountability for design errors and encourage open communication.

Adapting IPD enablers into the CPD approach would ensure higher-quality design documentation and more efficient project delivery. This has the potential to improve project outcomes, reduce errors, and foster better collaboration among stakeholders.

This study is the first of its kind to identify specific enablers inherent in IPD that can be adapted into the CPD approach to improve the quality of design documentation within the Ghanaian construction industry.

Artificial Intelligence (AI) is widely used in higher education teaching and learning. This trend of AI integration will continue to emerge within the education system. To stay ahead of the curve in the education realm, educators shall involve the usage of AI in teaching activities, assessments, and learning experiences. This book chapter aimed to highlight the challenges faced by higher education while proposing refined solutions to educators in involving the usage of AI tools in their teaching pedagogy. The suggested solutions were drafted from three different perspectives of AI to be integrated into its curriculum, namely the 3As triadic approach. Activities are identified as the essential asset to fostering a collaborative learning environment encouraging students to make use of cocreated AI in activities creation. Meanwhile, assessment preparation requires rigorous restrictions on AI usage to portray higher order thinking skills while abiding by ethical guidelines and legal framework. Academic content is prudent in ensuring latest findings and research are credible while bridging the gap between interactive academic materials with students' learning outcomes. Concurrently, we highlighted several approaches to achieve AI collaborative learning and enhance students' experience.

This paper aims to explain the factors shaping collective action within low-cost housing communities, focusing on parcel holders, through the utilisation of an expanded institutional analysis development (IAD) framework, which extends upon Ostrom’s foundational framework. Additionally, the paper explores four different property management approaches accessible to these communities.

The research employed a mixed-method approach comprising four sequential steps. Firstly, a quantitative inquiry entailed a questionnaire survey administered to 633 parcel holders across four low-cost housing schemes, aimed at discerning factors influencing collective action. Subsequently, a qualitative investigation involved face-to-face interviews with key stakeholders to elucidate the contributing factors of collective action, with a specific focus on Nursa Kurnia (a successful low-cost housing scheme comprising 200 units), accessible via Kuala Lumpur Middle Ring Road II. Thirdly, the study explored the social practice of “commoning the governance”. Lastly, the paper advocated for housing policy interventions, specifically proposing government subsidies for lower-income parcel holders.

Exemplified by the success of Nursa Kurnia, the research findings emphasised the importance of shifting local management’s mindset from a zero-sum approach to a win-win perspective. It highlighted the pivotal role of four factors (resource system, governance system, context and historical development) in shaping collective action and fostering improved property management practices. Moreover, the study highlighted the potential of “commoning the governance” as a new approach capable of addressing collective action challenges in low-cost housing management, presenting a promising avenue for future endeavours.

As more studies utilising the expanded IAD framework become available in the future, there is potential for further refinement and enhancement of the framework.

This study offers valuable insights for policymakers, property developers, local management and local communities, shedding light on challenges associated with the self-organisation of shared resources. Moreover, it highlights the potential of “commoning the governance” as a new property management approach to mitigate the impact of collective action problems.

The well-being of society’s most vulnerable segment is indicative of the overall societal health. This underscores the significance of addressing the interests and needs of these lower-income groups within the broader social context.

Exploring collective action within the context of self-organising low-cost housing, the study delves into an area marked by persistent challenges like free-riding tendencies and vandalism. Despite significant attention given to collective action issues in the past, the novel approach of “commoning the governance” remains unexamined in the realm of low-cost housing maintenance and management.

The emergence of distributed ledger technology (DLT) has transformed the way construction industries approach data management, ushering in an era of increased transparency, security and efficiency. The purpose of this study is to investigate the strategies to promote the adoption of DLT in the Nigerian construction sector. This was done to address the challenges that hinder the widespread adoption of DLT within the Nigerian construction sector.

A comprehensive literature review informed the design of a structured questionnaire for data collection. The questionnaire was distributed among diverse construction professionals to explore their perceptions of potential strategies. The collected data were analyzed using the Shapiro–Wilk test for data distribution, while mean values and standard deviations were used to facilitate the ranking of strategies. The Kruskal–Wallis H-test was used to assess opinion differences, and exploratory factor analysis was applied to uncover underlying dimensions.

The findings revealed the top five strategies for DLT adoption as conducting workshops and seminars to educate professionals, collaborating with universities for DLT courses, encouraging joint projects for shared insights, forming consortia for DLT standards and allocating funding for DLT research in construction. Through factor analysis, the strategies identified were categorized into four principal clusters: awareness and education advancements, government support and incentives, industry collaboration and standards and pilot projects and demonstrations.

While prior studies have identified barriers to DLT adoption and offering recommendations, this research advances the field by empirically investigating and assessing several of these strategies proposed in various studies. This approach provides valuable insights that go beyond existing research, offering a deeper understanding of the practical and contextual dynamics influencing DLT adoption in the construction sector.

The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transformation, closely intertwined with technological advancements. Our main goal is to offer researchers and process analysts insights into the latest developments concerning artificial intelligence (AI) and machine learning (ML) to optimize their processes in an organization and identify research gaps and future directions in the field.

In this study, we perform a systematic review of academic literature to investigate the integration of AI/ML in business process management (BPM). We categorize the literature according to the BPM life-cycle and employ bibliometric and objective-oriented methodology to analyze related papers.

In business process management and process map, AI/ML has made significant improvements using operational data on process metrics. These developments involve two distinct stages: (1) process enhancement, which emphasizes analyzing process information and adding descriptions to process models and (2) process improvement, which focuses on redesigning processes based on insights derived from analysis.

While this review paper serves to provide an overview of different approaches for addressing process-related challenges, it does not delve deeply into the intricacies of fine-grained technical details of each method. This work focuses on recent papers conducted between 2010 and 2024.

This work addresses a significant gap by employing a pioneering approach to introduce challenges in BPM alongside AI/ML techniques and integrated tools. Hence, it offers comprehensive guidelines that elucidate the alignment between ML methods and solutions to current challenges across the BPM life-cycle, including process enhancement and process improvement. Additionally, by detailing various aspects of the life-cycle phases and highlighting ML technique characteristics, this research demonstrates potential approaches for future exploration, thereby enhancing applicability for both process analysts and researchers in this context.

We are facing a number of concurrent human-induced crises which, it might be claimed, are the result of entangled processes which flow between and through the issues of climate change, environmental degradation, political instability, global health problems and economic inequalities. These crises are now posing existential threats to ecosystems, habitats, lifeforms and humans. One reaction to these crises has been the instigation of the sustainable development goals (SDGs). Their influence can be argued to have met varied levels of impact and success, but in a complex, interconnected world, perhaps, it is too much to expect that they would, by themselves, act as a management tool which would solve all our ills as they focus on the large scale, not the individual. This leaves a gap for a framework which supports individual growth towards supporting sustainability. The inner development goals (IDGs, 2021) framework is a recent innovation, initially suggested by three Swedish organisations with the express intent of fostering capacities and perspectives at the individual level which will encourage populations to engage with the crises we face in more informed, motivated and practical ways. Through an engagement with the literature, this chapter considers the need for the IDGs in education as a process through which the SDGs can be engaged with at an individual level. This debate is both current and important as it suggests a way in which individual agency can be brought to bear on the global crises we all face.

This viewpoint aims to provide an overview of graduate employability in Lebanon from the perspective of the Dean of Olayan School of Business at the American University of Beirut, who is a reputable academic leader heading a world-ranked business school. The discussion also looks at the external factors that affect graduate employability in Lebanon with direct references to the Covid-19 pandemic and the economic crisis.

Through conversation with the Dean of a prominent business school in Lebanon, this viewpoint discusses several topics pertaining to the concept of graduate employability.

To boost graduate employability the focus should be on developing the curriculum, engaging with the alumni network, exploiting the board of governors and building on the school’s reputation and legacy.

Crises do offer new opportunities. Covid-19 pandemic has prepared employers to accept the idea of remote working, which has helped in boosting graduate employability in Lebanon.