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This study aims to minimize the cost and time of blood delivery in the whole blood supply chain network (BSCN) in disaster conditions. In other words, integrating all strategic, tactical and operational decisions of three levels of blood collection, processing and distribution leads to satisfying the demand at the right time.

This paper proposes an integrated BSCN in disaster conditions to consider four categories of facilities, including temporary blood collection centers, field hospitals, main blood processing centers and medical centers, to optimize demand response time appropriately. The proposed model applies the location of all permanent and emergency facilities in three levels: blood collection, processing and distribution. Other essential decisions, including multipurpose facilities, emergency transportation, inventory and allocation, were also used in the model. The LP metric method is applied to solve the proposed bi-objective mathematical model for the BSCN.

The findings show that this model clarifies its efficiency in the total cost and blood delivery time reduction, which results in a low carbon transmission of the blood supply chain.

The researchers proposed an integrated BSCN in disaster conditions to minimize the cost and time of blood delivery. They considered multipurpose capabilities for facilities (e.g. field hospitals are responsible for the three purposes of blood collection, processing and distribution), and so locating permanent and emergency facilities at three levels of blood collection, processing and distribution, support facilities, emergency transportation and traffic on the route with pollution were used to present a new model.

Finding an appropriate place for temporary housing after an earthquake is one of the main challenges of disaster risk management, especially in developing countries. Therefore, it is necessary to create pre-disaster location plans for the homeless population. This study aims to systematically find safe places and select suitable sites according to influential factors.

The research methodology used is a descriptive–analytical method. A field survey with a quantitative–qualitative approach is applied to recognize physical vulnerabilities and select suitable sites for temporary settlements. Due to the occurrence of several earthquakes in recent decades around the city of Isfahan, Iran, this area has been studied. Fuzzy analytic hierarchy process, geographic information system and rapid visual screening have been used for data analysis.

According to the site selection and vulnerability criteria and their prioritization, the findings indicate that 60% of the study area is vulnerable. Moreover, vacant lots, stadiums and public green spaces that can be used as multi-purpose sites are the most appropriate options for the temporary settlement.

The research criteria are generalizable and can be used for decision-making, concerning urban fabric vulnerability and site selection of temporary housing in cities exposed to earthquake risk.

Cultural features, accessibility, land conditions, the slope and type of land, availability and construction materials were addressed in locating temporary settlements. In addition to vacant lots and open spaces, safe buildings were also identified for temporary housing, and religious minorities and similar communities were considered.

The purpose of this study is to automatically generate a construction schedule by extracting data from the BIM (Building Information Modeling) model and combining an ontology constraint rule and a genetic algorithm (GA).

This study developed a feasible multi-phase framework to generate the construction schedule automatically through extracting information from the BIM, utilizing the ontology constraint rule to demonstrate the relationships between all the components and finally using the GA to generate the construction schedule.

To present the functionality of the framework, a prototype case is adopted to show the whole procedure, and the results show that the scheme designed in this study can quickly generate the schedule and ensure that it can satisfy the requirements of logical constraints and time parameter constraints.

A proper utilization of conceptual framework can contribute to the automatic generation of construction schedules and significantly reduce manual errors in the Architectural, Engineering, and Construction (AEC) industry. Moreover, a scheme of BIM-based ontology and GA for construction schedule generation may reduce additional manual work and improve schedule management performance.

The hybrid approach combines the ontology constraint rule and GA proposed in this study, and it is an effective attempt to generate the construction schedule, which provides a direct indicator for the schedule control of the project.

In this study, the data application process of the BIM model is divided into four modules: extraction, processing, optimization, and output. The key technologies including secondary development, ontology theory, and GA are introduced to develop a multi-phase framework for the automatic generation of the construction schedule and to realize the schedule prediction under logical constraints and duration interference.

Meetings with colleagues are an essential activity in workplace collaboration. The iterative nature of collaborative work demands spaces that team members can access quickly and easily. Creating suitable meeting spaces will become more critical if the hybrid work model continues and the workplace environment becomes the hub for face-to-face collaborative time, learning and training. Workspace and fit-out is expensive so it is crucial that the investment in meeting spaces supports employees’ collaboration activities.

This paper presents a case study of a corporate organisation undertaken in New Zealand to investigate how employees from two business units use their workspace to collaborate within their own team and across other teams in their organisation. The study uses ethnographic techniques, including participant observation and in-depth face-to-face interviews.

The findings show that the frequency and nature of small group work in collaboration was underestimated in the initial planning of the new workspace. Although participants found the design and fit-out of the formal meeting rooms supportive of collaborative work, the meeting rooms were in high demand, and it was difficult to find a room at short notice. The breakout spaces were confusing because they lacked key design attributes identified by the participants as conducive to small group work. Design shortfalls together with fit-out features perceived as supportive of collaborative work are identified.

The research reports on employees’ perceptions and experiences across two functionally diverse business units, reflecting their different needs and concerns.

Being acquainted with both lean and action learning in theory and in practice, this study finds that the theoretical complementarity of these two research streams has traditionally been underexploited. In this conceptual paper, this study aims to advance the theoretical understanding of lean by exploring the complementarity of lean thinking and action learning leading to a proposed integrated theory of these two research streams. Target audience is the operations management research community.

By deliberately adopting a process of theorising, this paper explores, reflects upon and combines individual experiences of researching, teaching and engaging in lean and action learning as operations management scholars.

Having taken a gemba walk through the literature and practices of lean and action learning, this study views and notices a systematic and complementary relationship between the two domains. The overlapping theoretical and practical complementarities of lean and action learning suggest that these two research streams are ripe for synthesis into an integrated theory. This finding provides an opportunity to (1) progress towards an integrative design of interventions leading to more sustainable lean system adoptions and (2) add new depth to our theoretical explanation of the success and failures of lean system adoptions.

This paper contributes an original integrated theory perspective on lean and action learning.

The paper's primary purpose is to define and characterize the innovative concept in public management theory, New Public Governance (NPG), from its theoretical framework and the view of public management institutions. The second objective is to create a logical framework to explain this notion. The broader role of this paper is to expand the understanding of this contemporary public management trend.

The methodological approach of the authors' research is based on a deep understanding of theoretical sources, particularly the scientific precursors in the literature surrounding the NPG theory. The authors used the following methods to achieve the paper's goals: critical thematic literature review and synthetic comparative analysis.

In regards to scientific analysis, the goals of NPG were achieved, considering that its concept and main characteristics were displayed in definitional terms as a trend in public management, emphasizing institutional cooperation and co-production, having strengths in social inclusion and weaknesses in the lack of participatory experience of the actors. Additionally, the authors created the original 6-CO coherent conceptual framework describing the flows in the NPG operation based on theoretical foundations. The analysis of theoretical sources not only allowed the collection of common and disconnected features of the reasoning behind the definition and depth of the NPG but also insufficient development of the theory in existing sources.

The paper demonstrates critical new scholarship surrounding the NPG theory because it (1) applies one of the latest trends in public management, (2) juxtaposes various academics' understanding of the concept and, most importantly, (3) advances the theory of NPG with the original 6-CO coherent conceptual framework as a practical implication of the theory originator.

The objective of the study is to explore explanations for the capital structure compositions of farmer cooperatives, which have a unique equity structure with allocated equity as well as unallocated equity.

Data came from a panel of US grain marketing and input supply cooperatives for the 2010–2020 period. The study is concerned with the proportions of debt, allocated equity and unallocated equity, which requires the application of a fractional multinomial panel model to ensure predictions fall within the observed data range (i.e. 0–1).

Larger cooperatives have relatively high debt proportions. Diversification of the product portfolio has a positive effect on the debt proportion. Profitability is associated with higher debt proportions in input supply cooperatives and higher allocated equity proportions in grain marketing cooperatives. Over time, the proportion of unallocated equity increased. Overall, some results differ across grain marketing and input supply cooperatives.

Increasing proportions of unallocated equity warrant a debate about the future value of ownership and governance by members of farmer cooperatives.

Previous empirical investigations of the capital structure compositions of cooperatives lacked a distinction between allocated and unallocated equity. Our results show that the proportions of the two equity accounts respond differently to given predictors. Furthermore, much of the prior empirical literature fails to separate cooperatives on the basis of economic activities (i.e. marketing, supply and mixed).

The paper provides a contribution of systematisation to the literature on the blue economy and aquaculture as challenging issues for achieving sustainable growth and a circular economy. The growing scientific interest in recent years and the increased attention in political agendas make the blue economy and aquaculture as promising fields for scientific investigation. The latter has been confirmed during a particular period too as the pandemic times. To identify those areas of specialisation emerging from the intersection of such topics, the paper embraces a systematic literature review for inspiring future research.

The study covers a period of 20 years by including 85 papers extracted from the Scopus database. Through the adoption of VOSviewer, the investigation explores the main descriptive statistics, while content analysis has been embraced to identify thematic areas.

The main results of this study are about statistics (i.e. publication trends, geographic distribution, most frequent keywords and most influential authors, etc.). Three main thematic areas have been identified in this study: SDGs and policies for sustainable development, food and energy, business models and managerial issues.

Practical implications arise both for firms and policymakers. About the firsts, interesting insights can be derived in terms of business model innovation, collaborative approaches and technological exploration. About policymakers, inspiration in terms of renewal of strategic guidelines, creation of enabling contextual conditions and evidences for new regulations can be noted.

Elements of original contributions can be identified in the adoption of an SLR to verify the advancement of the debate till the recent pandemic.

A research line has emerged that is concerned with investigating human factors in information systems and cyber-security in organizations using various behavioural and socio-cognitive theories. This study aims to explore human and contextual factors influencing cyber security behaviour in organizations while drawing implications for cyber-security in higher education institutions.

A systematic literature review has been implemented. The reviewed studies have revealed various human and contextual factors that influence cyber-security behaviour in organizations, notably higher education institutions.

This review study offers practical implications for constructing and keeping a robust cyber-security organizational culture in higher education institutions for the sustainable development goals of cyber-security training and education.

The value of the current review arises in that it presents a comprehensive account of human factors affecting cyber-security in organizations, a topic that is rarely investigated in previous related literature. Furthermore, the current review sheds light on cyber-security in higher education from the weakest link perspective. Simultaneously, the study contributes to relevant literature by gaining insight into human factors and socio-technological controls related to cyber-security in higher education institutions.

The primary objective of this research is to chronicle how the Environmental Protection Agency (EPA) and other United States Federal Government Agencies (USFGA) agencies have played a role in shaping the trajectory of financial reporting for sustainability, with a particular emphasis on triple bottom line (TBL). This exploration extends to other indexes reporting sustainability data encompassed within financial, social and environmental reporting.

This study adopts an illustrative methodology, utilizing data sourced from governmental, business and international organizational documents.

Sustainability accounting predominantly finds its place within the framework of TBL. However, it is crucial to note that sustainability reporting remains voluntary rather than mandatory. Nevertheless, accounting firms and professional accounting societies have embraced it as a supplementary facet of financial accounting reporting.

The research highlights the historical evolution of sustainability within the USFGA and corporate entities. Corporations’ interest in accounting for sustainability performances has significantly contributed to the emergence of voluntary sustainability accounting rules, as embodied by the TBL.