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This paper aims to present a systematic methodology to study different economic labor policies and their impacts on women and families. As women entered into the labor market, the traditional division of family labor vanished. Now, families need to make the best decision to both improve the family economy and enhance family's main functions. In addition, the government is responsible toward the consequences of the family policies.

The content analysis, fuzzy cognitive map, scenario-planning and vlse kriterijumsk optimizacija kompromisno resenje (VIKOR) have been combined to deal with the studied problem. As a case study, the focus has been on the Iranian family. According to the developed methodology, different family-oriented policies have been simulated and their results are analyzed.

Findings show, considering the effects that the division of the couples’ labor has on meeting the material/non-material family needs, the best policy is to support women's home-based businesses. This way, the economic factors will be improved, the couples’ dependence on meeting their needs will be more favorably affected and the family unity will be strengthened.

In this study, “family” has been analyzed as a single socioeconomic system. Never have the family economic studies been analyzed with a systematic approach by considering all the economic and non-economic factors together. This objective can be realized by applying the methodology proposed in this research because it can help to predict the consequences of any policy toward the family and provide a platform for proposing better policies and making the related decisions in this area.

The last reformation in Iran’s population policy was announced inside “General Population Policy” (GPP) in 2013. One of the main objectives of the GPP is controlling population aging. The aim was to designing and evaluating different scenarios for achieving this objective.

For this purpose, a system dynamics model was built from cohort age groups. The model simulated Iran’s population structure from 2000 to 2050. The system dynamics model was validated in 2000 till 2011 period (R² = 94%). Data were extracted from the United Nations population division repository and represent a reducing trend in the fertility rate of Iran. This situation was named the “base” scenario. The simulation results for this scenario showed that Iran will face aging such that between 2000 and 2050 the median age will increase from 25 to 43 years. Based on these results, the base scenario could not achieve the GPP objective. So three alternative scenarios were designated: stabilization, increasing and hyper increasing.

The median age and the aging index are descending only in the hyper increasing scenario which means controlling aging. Therefore, the hyper increasing scenario is the only way to realize the GPP’s objective. To realize the hyper increasing scenario, it is essential to consider the total dependency ratio which shows the level of pressure on the workforce. Reducing this pressure increases the propensity to have more children (fertility index) and this is essential for maintaining high fertility rate.

The value of the research rests on a precise simulation model to forecast the population structure and aging. The research will serve as a guide for Iranian policymaker and support strong recommendations to bring the GPP along with supporting policies such as childbearing and child care assistance.

New maintenance hypotheses such as lean smart maintenance emphasized internal integration. Since the maintenance process is not fully integrated with other business processes, it indicates that some of the problems in the maintenance process are caused by other departments. Additionally, nothing can be managed or improved without first measuring it. In order to enhance internal integration, this study developed a model that makes use of information systems data to examine synchronization and collaboration across departments engaged in maintenance operations.

This research connects maintenance management and business process management through information systems. A conceptual module model based on CMMS is proposed that will use data which are already available in CMMS and, using process mining, will assess the level of synchronization between departments within an organization.

This conceptual model will serve as a roadmap for creating better value-added CMMS software. This system operates as a performance measurement tool in three majors, including organizational analysis, workflow analysis and eventually, a future simulation of maintenance processes. This module will serve as a decision support system, highlighting opportunities for improvement in maintenance processes.

A practical guideline is provided for the future development of CMMSs and their enhancement to intelligence. All assumptions are based on maintenance theories, techniques for measuring maintenance performance and business process management and process mining.

The present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing the structure of the network, finding the patterns of collaborations, and determining the important departments are the main purposes of the present research.

Improving relationships during a project life is an effective way to enhance employee performance in project-oriented organizations. This paper examines the collaborative relationships between internal project stakeholders through social network analysis (SNA) in a project for the design and development of car engine. In the first step of the research, the network of internal stakeholders was studied based on collaboration in the common activities performed by the resources. Then, the network of correspondences between internal stakeholders was studied. Finally, the two networks were integrated into a single network.

In the integrated network, the “fuel and combustion department” had the largest degree centrality (i.e. highest collaboration with others). The “integration department” was found to have the highest closeness centrality (i.e. more rapid access to other nodes). Furthermore, the “procurement department” had the highest betweenness centrality (i.e. the most strategic department). Our results revealed the potential capabilities of SNA method for the project management in the vehicle industry.

The obtained results of the present research show us the value of applying SNA methods and concepts to analyze the inter-organizational network of the Project Stakeholders relationship.

This study aims to identify the origins, mechanisms and outcomes of applying behavioral insight in public policy research.

The authors conducted a systematic literature review to answer three research questions. The authors identified 387 primary studies, dated from January 2000 to April 2021 and coded them through a thematic analysis. Related studies were obtained through searching in Emerald, ScienceDirect, Sage, Springer, Wiley and Routledge.

The results identified eight themes for origins, 16 themes for mechanisms/techniques and 13 outcome-related themes. Through the thematic analysis, the major mechanisms of behavioral approach were found to be social marketing, information provision, social norms, incentives, affect, regulation design, framing, salience, defaults, simplification, networking, environment design, scheduled announcements, commitments, attitude-preference-behavior manifestation and combining behavioral and nonbehavioral mechanisms.

The findings of this review help policymakers to design or redesign policy elements.

This review provides the first systematic exploration of the existing literature on behavioral public policy.

Inter‐organizational arrangements are increasingly playing an important role in new product development (NPD). This article aims to investigate the links among power, risk, and governance in these kinds of relationships.

The authors investigated the links based on the data collected from 112 respondents representing 112 different NPD relationships.

The results of structural equation modeling revealed that, in the situation where coercive power is imbalanced between partner firms, the weaker partner perceives relational risk while imbalances in non‐coercive power do not influence relational risk perception significantly. The results also showed that relational risk perception is strongly associated with governance modes in such a way that negatively influences trust and the norm of information sharing, and positively affects vertical control, respectively. Further investigations revealed that the influence of power bases on governance modes was mediated through the relational risk perception.

This article contributes to a better appreciation of the factors that account for important determinants of opportunistic behavior of partner firms (i.e. power asymmetries) and governance modes that are available for companies in order to impede relational risks.