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Risk assessment is a very important step toward managing risks in various organizations and industries. One of the most extensively applied risk assessment techniques is failure mode and effects analysis (FMEA). In this paper, a novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately.

In this model, the weight of each failure mode is considered instead of risk priority number (RPN). Additionally, three criteria of time, cost and profit are added to the three previous risk factors of occurrence (O), severity (S) and detection (D). Furthermore, the weights of the mentioned criteria and the priority weights of the decision-makers calculated by modified fuzzy AHP and fuzzy weighted MULTIMOORA methods, respectively, are considered in the proposed model. A new ranking method of fuzzy numbers is also utilized in both proposed fuzzy MCDM methods.

To show the capability and usefulness of the suggested fuzzy MCDM-based FMEA model, Kerman Steel Industries Factory is considered as a case study. Moreover, a sensitivity analysis is conducted for validating the achieved results. Findings indicate that the proposed model is a beneficial and applicable tool for risk assessment.

To the best of authors’ knowledge, no research has considered the weights of failure modes, the weights of risk factors and the priority weights of decision-makers simultaneously in the FMEA method.

The purpose of this paper is to define the need to a center for improving and extending university and research libraries in Iran, and identifying capabilities and position of Iranian Research Institute for Science and Technology (Irandoc) for accepting possible roles.

This research was documentary with scoping review in which the scope of research defined with internal and external organizational documents, related research studies in National Information System (NATIS) and international successful organizations in this field.

Findings show that Irandoc can play roles in developing a standard, establishing experts and professional network, developing information and knowledge sharing process, facilitating access to the scholarly contents, leadership and change management, developing infrastructures for research data management, gathering information and statistics of these libraries and developing interlibrary collaborations in these libraries.

This research is one of the seldom research studies related to clarification of an organization' role and position in NATIS in universities and improving and also extending activities of university and research libraries in Iran.

This research paper aims to identify and evaluate the enabling factors of agility capability in humanitarian relief chain network.

The research phases were implemented based on an integrated framework. First, a reference framework of the enablers has been constructed based on a literature review. Then, a hybrid evaluation approach is applied that combines fuzzy decision-making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to achieve reliable results. It provides a road map to identify and evaluate the interactions between the enabling factors and determines the weights correspond to their relative importance. This approach takes advantage of fuzzy set theory to deal with ambiguities, uncertainties and vagueness inherent in the evaluation process.

Relief chain agility is a vital determinant of the effectiveness to succeed humanitarian missions during and after natural and unnatural disasters such as earthquakes, epidemics and terrorist attacks. Results shed light on the essential enabling factors, relationships among them, and their importance for developing humanitarian relief chain agility enhancing the overall performance quality.

The integrated framework is implemented for the Red Crescent, a nongovernmental organization in Iran, which is trying to optimize the agility of their humanitarian relief chain network. In short, the findings are beneficial for identification and utilization of the essential prerequisites of agility in order to develop an agile humanitarian relief chain.

The purpose of this paper is to focus on exploring the mutual impact of accounting conservatism and corporate social responsibility (CSR).

To empirically assess the theoretical arguments the authors estimate a simultaneous equations system for accounting conservatism and corporate social responsibility determination by two-stage least squares in a sample of 175 firms listed on the Tehran Stock Exchange (TSE) for the period 2009–2019.

The results of the present study showed that accountability in companies listed on the TSE has led to an increase in the use of conservative practices. Therefore arguably, companies that seek CSR activities are more conservative in preparing and presenting financial reports. Also, companies that engage in conservative practices for the benefit of stakeholders are better able to implement CSR activities to meet stakeholder obligations. These results show a two-way relationship between CSR and accounting conservatism.

According to the results obtained from this study and the elimination of conservatism from the qualitative features of financial reporting in International Accounting Standards, it is recommended for the trustees and authorities of national accounting standards to decide whether this qualitative feature is effective or not.

Furthermore, the findings of this study suggest that the application of corporate social responsibility theories calls for more inquiry.

This paper examines the contemporary university library system in Iran. The eight key factors studied are: library systems, resources and collection building, technical processing, services, information technology applications, co‐operation and exchange of information resources, administration and staffing, and financial administration. While examining these variables, the problems being faced by university libraries are also discussed and suggestions for dealing with them are offered.

Building upon uses and gratifications (UG) theory and social exchange theory, the current study establishes a theoretical model to examine the underlying relationship between customer motivations, active participation and electronic word-of-mouth (e-WOM) and purchase intentions on WeChat.

The data were gathered in a web-based survey of 301 WeChat users in mainland China. To empirically verify the proposed hypotheses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed using online data.

Path analysis outcomes demonstrate that functional, hedonic and social motivations positively affect WeChat users' active participation. In addition, active participation significantly influences e-WOM intention while showing no correlation with purchase intention.

Theoretically, this article can enrich the extant system of relevant theories and offer a fresh perspective for further research on the generation of consumers' e-WOM intention and purchase intention in the WeChat context. Practically, the research outcomes provide insight for companies on how to motivate customers to participate in online activities, which subsequently improve WeChat users' willingness in conducting e-WOM communication and making purchase decisions.

Although mobile social media could serve as an influential marketing vehicle for individuals' engagement in social and commercial activities in today's mobile-matured environment, the substantial impact of active engagement on the relationship between customer motivation and purchase intention remains insufficiently explored. The outcomes not only contribute to the current body of knowledge, but also offer several managerial guidance for companies that pay attention to mobile social media marketing in a contemporary mobile media-saturated society.

This study aims to highlight the role of librarians as an essential element in medical research. For this purpose, the primary research process was divided into three phases: before, during and after. Then, the roles of librarians associated with each phase were separated and the viewpoint of researchers and librarians on the importance of these roles were considered and compared.

This comparative, descriptive-causal research was conducted using the census method. Birjand University, a type-2 university in the field of Medical Sciences according to the rating of the Iranian Ministry of Health and Medical Education, was selected for the study. The participants were all faculty members and all librarians working in the university’s libraries. The data collection tool was a questionnaire made by authors. Its validity was confirmed by four professors of Library Science, and questionnaire design expert and its reliability was confirmed with a Cronbach's alpha of 0.89. Data were analyzed with the Statistical Package for the Social Sciences, using descriptive statistics.

From the perspective of researchers, awareness-raising for open access resources, determination of standard subject keywords on the basis of Medical Subject Headings for articles and scientific texts and using scientific research findings as a basis for preventing duplicate studies in future research are the most important roles for librarians in the three stages of medical research. From the perspective of librarians, the use of knowledge management skills, searching scientific information as review of the literature and also selecting standard keywords to search the databases and providing health-care professionals with the findings of latest scientific research have the highest place in the different stages of the research lifecycle.

The difference between the viewpoints of librarians and researchers about the role of medical librarians at the various stages of the research lifecycle shows that there are significant gaps between the librarians’ services and users’ expectations. It is expected that through learning modern professional skills, medical librarians can assume new roles in medical research and make their capabilities known and available to researchers.

This paper aims to explore the realm of literature about personalization of digital library services. This paper focuses on users’ unique needs and will identify different types of personalized services. Therefore, this study has identified different types of services personalization in the context of digital academic libraries.

In this research, the systematic review method has been used to obtain the relevant indicators of different types of personalization in the context of libraries. To explain basic indicators, a Delphi method has been used. The Delphi panel’s members consisted of 15 experts (faculty members, researchers, professional users and software designers). A purposeful sampling and the Delphi fulfillment process were performed in three rounds. After collecting data, descriptive statistics (mean and standard deviation), inferential statistics (binomial distribution test) and the Kendall coordination coefficient were used to determine the consensus rate among experts.

A total of 103 indicators were extracted for different types of personalization through a systematic literature review. Of these, 90 indicators were considered significant in the experts’ view. Generally, content personalization, interactive personalization, collaborative personalization and information retrieval personalization are the main components of personalization types, each of which has its own indicators.

This study has dealt with the issue of what is personalized in the context of digital academic library. The findings should be helpful and effective in the development of a holistic view on personalization of services in digital libraries.

The purpose of this paper deals with a capacitated multi-item dynamic lot-sizing problem with the simultaneous sequence-dependent setup scheduling of the parallel resource under complex uncertainty.

An improved chance-constrained method is developed, in which confidence level of uncertain parameters is used to process uncertainty, and based on this, the reliability of the constraints is measured. Then, this study proposes a robust reconstruction method to transform the chance-constrained model into a deterministic model that is easy to solve, in which the robust transformation methods are used to deal with constraints with uncertainty on the right/left. Then, experimental studies using a real-world production data set provided by a gearbox synchronizer factory of an automobile supplier is carried out.

This study has demonstrated the merits of the proposed approach where the inventory of products tends to increase with the increase of confidence level. Due to a larger confidence level may result in a more strict constraint, which means that the decision-maker becomes more conservative, and thus tends to satisfy more external demands at the cost of an increase of production and stocks.

Joint decisions of production lot-sizing and scheduling widely applied in industries can effectively avert the infeasibility of lot-size decisions, caused by capacity of lot-sing alone decision and complex uncertainty such as product demand and production cost. is also challenging.

This study provides more choices for the decision-makers and can also help production planners find bottleneck resources in the production system, thus developing a more feasible and reasonable production plan in a complex uncertain environment.