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The authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees. The properties of the existing method are routinely compared to those of other current approaches, emphasizing the superiority of the presented work over currently used methods. Furthermore, the impact of priority degrees on the aggregate outcome is thoroughly examined. Further, based on these operators, a decision-making approach is presented under the Pythagorean fuzzy set environment. An illustrative example related to the selection of the best alternative is considered to demonstrate the efficiency of the proposed approach.

In real-world situations, Pythagorean fuzzy numbers are exceptionally useful for representing ambiguous data. The authors look at multi-criteria decision-making issues in which the parameters have a prioritization relationship. The idea of a priority degree is introduced. The aggregation operators are formed by awarding non-negative real numbers known as priority degrees among strict priority levels. Consequently, the authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees.

The authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees. The properties of the existing method are routinely compared to those of other current approaches, emphasizing the superiority of the presented work over currently used methods. Furthermore, the impact of priority degrees on the aggregate outcome is thoroughly examined. Further, based on these operators, a decision-making approach is presented under the Pythagorean fuzzy set environment. An illustrative example related to the selection of the best alternative is considered to demonstrate the efficiency of the proposed approach.

The aggregation operators are formed by awarding non-negative real numbers known as priority degrees among strict priority levels. Consequently, the authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees. The properties of the existing method are routinely compared to those of other current approaches, emphasizing the superiority of the presented work over currently used methods. Furthermore, the impact of priority degrees on the aggregate outcome is thoroughly examined.

The purpose of this study is two-fold: (1) identify shifts in prioritization of corporate social responsibility (CSR) issues and (2) identify the CSR issues in which companies are currently involved, as indicated in their website communications. Corporate communications are also examined for possible variations of CSR focus between manufacturers, retailers and service firms.

In order to identify the CSR issues in which companies are currently involved and detect any shifts, a content analysis was conducted of the 2021 Fortune 100 company websites, specifically cataloging CSR communications. This data was compared with CSR communications on Fortune 100 company websites in 2015. CSR issues are also examined within each industry categorization: manufacturing, retail and service.

Findings indicate that companies have reduced the number of CSR issues prioritized in their website communications. In 2015, companies gave prominence to an average of seven CSR issues on their websites, today the average is three CSR issues. Today, the CSR issues prioritized most commonly are diversity and sustainability. However, these issues are prioritized by only half of the companies. Previously, the vast majority of Fortune 100 companies prioritized the same top issues. That is not the case today. This shift may suggest that companies are narrowing their focus to fewer CSR issues, perhaps those that align with company goals.

This study provides information to keep company executives and academicians abreast of prominent CSR issues and terminology found in the marketplace. As executives make choices about committing resources to social issues, knowledge of what the Fortune 100 is doing can help in that decision-making process.

The purpose of this paper is to examine whether, how and when new venture creation progress (NVCP) affects work-to-family conflict (WFC) by introducing coping behavior strategies as mediators, entrepreneurs’ prior experience and family involvement in business as moderators.

This study performs multivariate regression analysis based on a sample of 260 nascent entrepreneurs from the Chinese Panel Study of Entrepreneurial Dynamics.

This study reveals that an entrepreneur’s WFC tends to increase along with the growth of the new venture. Specifically, NVCP impels entrepreneurs to adopt reactive role behavior strategy and meet both entrepreneurial and family demands; meanwhile, NVCP propels entrepreneurs to adopt prioritizing entrepreneurship behavior strategy for the increasing work demands, thus leading to more WFC; the mediation effect of prioritizing entrepreneurship behaviors is stronger than that of reactive role behaviors, which leads to an overall positive main effect. Moreover, the preceding mediating paths are moderated by entrepreneurs’ prior experience and family involvement.

First, the authors have investigated how NVCP influenced WFC. However, the authors did not extend the research to the possible effect of WFC on entrepreneurial performance. Second, in the work-family-conflict literature, unmarried and those without children are often excluded since their private life demands differ significantly from parents’ demands. Although the authors control for marital status in the model, the number of children is still left uncontrolled. Furthermore, the authors only used the first two waves of data, leading to a potential selection bias. In addition, the Chinese context may have influenced the generalizability of the results in a complex manner.

This paper indicates that reactive role behavior strategy will decrease WFC, while prioritizing entrepreneurship behavior strategy will increase WFC. Therefore, the authors suggest entrepreneurs adopt more reactive strategy to reduce WFC. Besides, both prior experience and family involvement strengthen the relationship between NVCP and prioritizing entrepreneurship behavior strategy, thereby leading to more WFC. Therefore, entrepreneurs with prior experience and family involvement should pay more attention to their roles in family. Furthermore, entrepreneurs with family involvement can try to segment the entrepreneurship-family boundary psychologically. For example, entrepreneurs can avoid business talking with families but show concerns for them at rest time.

WFC has been found negatively related to individual health and well-being. And entrepreneurs experienced even more WFC than employees in established organizations. Therefore, it is of great importance to focus on the topic of reducing entrepreneurs’ WFC. This research indicates that entrepreneurs can experience less WFC by choosing reactive role behavior strategy. Prior experience and family involvement can induce them to be more attached to new venture creation. This research provides practical suggestions and reminders for entrepreneurs.

This mediated moderation model elaborates whether, how and when NVCP affects WFC, thereby contributing to the knowledge of entrepreneurship-family interface and enlightening nascent entrepreneurs about balancing their start-up responsibilities with their family life.

Using a Constrained Choice Theory framework, this paper will identify variation in choosing the constraint-reflective priorities of budget, taste, or health by sociodemographic group, familial status, and weight category. Identifying which groups experience unique constraints will allow for customized healthy eating programs to address barriers specific to each group.

Data are derived from a paper survey of families with children in Lexington, KY and analyzed using logistic regression.

The results of this study confirm that some sociodemographic groups are more likely to choose priorities that reflect contextual constraints in their lives than others. In particular, having a higher income reduces likelihood of prioritizing budget and increases chances of prioritizing taste. Being married or cohabitating is correlated with choosing health, but having more children reduces the likelihood of prioritizing health. Being obese correlates with increased likelihood of prioritizing budget. Membership in each of these categories reflects constraints on which foods are purchased for the home.

Families are encouraged to improve their diets by eating at home, but families face many constraints when choosing healthy foods at the grocery store. Understanding the constraints experienced by various groups when shopping for food will lead to health policy that more fully addresses barriers to healthy eating for groups with disproportionately high incidence of diet-related disease.

This paper extends Constrained Choice Theory by applying it to a new aspect of health, purchasing groceries, and also by examining a wider variety of sociodemographic groups than previous research.

Circular economy (CE) is guided by principles, the key being the R-framework. All R-frameworks have a hierarchy. Although several studies have prioritized these principles, there is still an urgent call for country-specific prioritization. This study prioritized circular economy (CE) principles among Ghana's built environment (BE) professionals.

An explanatory sequential mixed methods approach was adopted. Six principles of CE were identified through a review of related literature and incorporated into a questionnaire. In total, 162 questionnaire responses were received. The quantitative data were analyzed through descriptive and inferential analyses. The data were further validated via semi-structured interviews with eight interviewees of different professional backgrounds in the BE.

The findings revealed that BE professionals in Ghana highly perceived CE principles as important. The findings further revealed the order of prioritization of the CE principles as follows: (1) recycle, (2) reuse, (3) repair/remanufacture, (4) renewable energy usage, (5) redesign and (6) reduce. To further elaborate on these prioritized principles via the qualitative phase, the interviewees agreed to and confirmed the importance of the identified principles through their verbatim comments.

Although there is a growing interest in research regarding CE in the Ghanaian construction industry, its principles have yet to be prioritized and ranked by professionals in the Ghanaian construction industry. This study unearths why, in terms of prioritization of the CE principles, the construction industry in Ghana does not follow the well-known hierarchy (i.e. reduce, reuse and recycle) in the order of high to low level of circularity.

The purpose of this study is to examine how athletic fundraising managers perceive status and seek to use status to identify, prioritize and manage stakeholders within college athletics.

To test this purpose, the researchers use the Gioia methodology to interview 19 college athletic department fundraising officers within National Collegiate Athletics Association (NCAA) institutions. Following interviews, the data were analyzed by the researchers and structured within a first-order and second-order concept designation.

Interviews show that status is an effective concept for explaining how athletic fundraisers identify and prioritize donors. Officers relied on economic (capacity) and social (passion and interest) factors to rank order donors. The results also show that athletic departments use status to manage stakeholders by rewarding their giving and escalating their commitment. Status is used in four strategies to manage the donor hierarchy: benefits, recognition, membership and access. Each strategy highlighted exclusivity and rank order.

There is a need to empirically test the application of status within the stakeholder theory context. These findings also contribute to the evolution of stakeholder management beyond the use of social identity theory or stakeholder salience. It helps our understanding of the evolving relationship between fundraiser and donor by recognizing the importance of capacity, passion and interests when identifying and prioritizing donors. Further, status-markers such as exclusive benefits, recognition, membership and access can be used to manage donors toward the organization's goals.

Currently trending as a practical approach to promote urban and seismic resilience, the adaptive reuse of historical buildings relies on expertise from various professional backgrounds ranging from conservation, urban planning, construction management, architecture, engineering to interior design. This paper explores the applicability of a performance-based multiple criteria decision assessment (MCDA) framework to prioritise underutilised historical buildings for adaptive reuse in Auckland, New Zealand while balancing the diverse interest of all relevant stakeholders.

A focus group workshop was conducted for relevant adaptive stakeholders in Auckland, New Zealand, to test the applicability of the performance-based MCDA framework developed by Aigwi et al. (2020) and prioritise four underutilised historical building alternatives for adaptive reuse interventions in Auckland, New Zealand.

Findings from this study revealed the significant potentials of the performance-based MCDA framework, both as an evidence-based measurement tool to prioritise underutilised earthquake-prone historical buildings in Auckland's central business district and as an effective decision-making strategy. Also, the framework allowed the inclusion of diverse stakeholders through the integration of collaborative rationality, ensuring consistency and transparency in the decision-making process.

The successful validation of the existing performance-based MCDA framework in Auckland, New Zealand, using multiple historical building alternatives, further strengthens its preceding validation by Aigwi et al. (2019) using only two historical buildings in Whanganui, New Zealand. The findings provide a theoretical platform for urban planning researchers to advance performance-based planning for adaptive reuse to other locations and fields. There are also interesting implications for local councils, heritage agencies, architects, urban planners, policymakers, building owners and developers in Auckland, New Zealand, as a guide to improving their understandings of: (1) the intangible values of optimal historical buildings perceived by the community as worthy of protection through adaptive reuse; and (2) the targeted needs of communities in the new functions of an optimal alternative from a group of representative historical building alternatives.

The purpose of this paper is to assess both private and public organizations in order to compare the similarities and differences between the organizational priority logic of TBL elements. The research objective is, therefore, to describe the organizational logic, so as to prioritize between economic, social and environmental elements of the triple bottom line (TBL). The approach is also to describe the common denominators and differentiators between private and public organizations.

Based on judgmental sampling and in-depth interviews of executives at private and public hospitals in Spain. Data were collected from the directors of communication of private hospitals, and from the executive in charge of corporate social responsibility of public hospitals.

The organizational logic for prioritizing the elements of TBL differs between private and public hospitals. The economic element of TBL is crucial to survival for private hospitals. Compliance with the legal requirements and certifications of the environmental element is the major concern for public hospitals. Private and public hospitals would both pay considerably greater attention to the social element of TBL, if there were no judicial and economic restrictions.

This study differs from previous ones in terms of exploring the interfaces and relationships between TBL elements, which focus on the organizational logic to prioritize between the elements of TBL. There are both common denominators and differentiators between private and public hospitals, when it comes to the priority logic of TBL elements.

The priority logic of determining the most important TBL element it is mainly about satisfying organizational needs and societal demands. Determining the second most important TBL element is mostly about organizational preferences and what it wants to achieve. Determining the least important TBL element it is about the organizational mindset for and with respect to the future.

This study contributes to determining the appropriate organizational priority logic of the TBL elements, as well as common denominators and differentiators between private and public organizations. It also contributes to explaining the organizational reasoning as to why one TBL element may be prioritized over another, an issue which has not been addressed in existing theory and previous studies.

A bridge network is a major capital asset that requires continuing investment in order to maintain the network within acceptable limits of safety and serviceability. Ranking and prioritizing procedures have been widely used by several departments of transportation to select bridges for intervention and to distribute the available funds among competing projects. The available ranking and prioritizing procedures have various drawbacks, and an improved, rational ranking and prioritizing procedure is needed. The paper aims to address these issues.

The requirements and characteristics of an innovative ranking and prioritizing method are identified during interviews with professionals involved in bridge management. Based on these requirements, multi‐attribute utility theory (MAUT) is selected to develop the method. A technique to develop utility functions based on the analytical hierarchy process (AHP) is discussed. A hierarchy structure that captures the decision‐making elements is presented. A case study is used to demonstrate the applicability and the validity of the proposed ranking method.

The research findings have identified the decision objectives and the criteria essential to rank and prioritize bridge projects, and these are included within a framework to rank and prioritize bridge projects while incorporating experts' input in the process.

The proposed framework includes weights for the various objectives and recommends utility functions to evaluate the different attributes. In addition, the framework provides flexibility to adjust the weights and to modify the utility functions to reflect network‐specific characteristics. This method can be used by departments of transportation to rank bridges in a network, even incorporating conflicting criteria, and it can be integrated within an already implemented bridge management methodology.

Ranking and prioritizing projects are essential steps in bridge management. Current methods for ranking and prioritizing bridge projects are associated with various drawbacks. This paper proposes an innovative ranking method for bridge networks, based on MAUT. This theory provides flexibility for the decision makers in expressing their degree of satisfaction with each bridge attribute.

Scheduling needs to be concise and well‐determined but able to respond to the ever‐changing and uncertain market or environment against the constraints of production capacity, resources, time frame, etc. The purpose of this paper is to model and solve a scheduling problem with another domain perspective that adopts the concept of agent, and an agent‐based scheduling environment is proposed for solving the scheduling problem, in which three agents are developed, i.e. a sales agent, a scheduling agent, and a production agent.

The modeling and development of the proposed agent‐based scheduling environment and its agents under constraints are discussed. Constraint priority scheduling concepts are applied to the environment and its agents, and the feature of responding to customer change orders is included in the model. The proposed agent‐based scheduling environment with three agents is applied to a lamp‐manufacturing company in China as a case study, and the integrated agent‐based approach is also illustrated in the case study.

Throughout the autonomous communication between agents in the proposed model, a constraint‐prioritized schedule is generated to fulfill customer orders and customer change orders, as well as to achieve a better scheduling performance result. From the simulation results and analysis in the case study, satisfactory results show that the proposed model can generate a constraint‐prioritized schedule for the studied company that can completely fulfill customer orders, adjust and fulfill customer change orders, and achieve a better scheduling result.

In this paper, the scheduling problem is modeled and solved by using the domain perspective of agent‐based approach. By using an agent‐based approach, the agents can be implemented to represent manufacturing resources or aggregations of resources. Under the proposed modeling approach, the collaboration across the entire scheduling activities can be enhanced, and the efficiency and effectiveness in the scheduling activities can also be increased.