Abstract Relying on the theory of conservation of resources and theory of emotional contagion, the costs and indicators of deviant behavior of customers and the validation of the scale in the banking industry have been identified. Scale development and validation is vital for many fields, especially in social and behavioral sciences. In order to achieve this goal, three stages with nine steps have been taken and samples have been taken in two stages. First, 21 employees were selected in a purposeful manner and their experiences regarding the costs of deviant behavior were collected through interviews and an initial questionnaire was created. After checking the content validity of the questionnaire with the participation of five human resources experts and a preliminary study, the final questionnaire was distributed among 448 employees of various bank branches based on convenient sampling in Tehran and the evidence was analyzed with exploratory and confirmatory factor analysis. The research findings indicate that the costs of deviant behavior include five main dimensions and thirteen components. The dimension of customer misbehavior includes two components: non-communicative misbehavior and communicative misbehavior; The supervisor reaction dimension includes two components: punitive reaction and supportive reaction; The dimension of customer apology includes two components: behavioral apology and verbal apology; The dimension of short-term reaction of employees includes two components: physiological and behavioral reaction, emotional reaction, and long-term reactions of employees include five components: intention to leave the job, job stress, personality analysis, personal success analysis, and emotional analysis.

Abstract Recently, water has become a scarce resource in many countries, particularly in Iran. This study examines sustainable development strategies in the water sector and the agricultural industry, with the main aim of enhancing water consumption efficiency through the design of effective strategies. To achieve this goal, two methods of exploratory scenario writing and backcasting were employed. In the first phase, key scenarios were identified and critical decisions were extracted using exploratory scenario writing. Subsequently, the priority of these decisions was assessed through robustness analysis. In the next phase, backcasting was utilized to outline a desirable future and identify pathways to achieve it. These pathways were evaluated using the Delphi technique to identify the most significant ones. The results from both methods indicate the robustness of options emphasizing investment in water infrastructure, development of drought and salinity-resistant crops, and increased water recycling. It was also found that these two methods complement each other, providing complementary pathways and decisions. This research can serve as a solid foundation for policymakers and planners in managing sustainable water resources in the agricultural sector.

Abstract This study was conducted with the aim of identifying the components of charlatan behavior and investigating the effect of authentic leadership with the moderating role of moral identity on it in government organizations of South Khorasan province. The research philosophy is pragmatism and its approach is exploratory mixed method. The strategy of the qualitative part is phenomenology, which is based on the lived experience of 16 government employees who were selected purposefully. The data were analyzed using MAXQDA software and Colaizzi's method. Based on the results of this section, the primary model of charlatan behavior in the organization was extracted in the form of four components, fifteen sub-components and a total of thirty-four main themes. In the quantitative part, a questionnaire was prepared based on the initial model. After confirming its validity and reliability, it was distributed to 612 government employees who were selected through stratified sampling. Structural equation method and Amos software were used to analyze the data of this section and perform confirmatory factor analysis. Based on the results, all 34 main themes of charlatan behavior were confirmed. The comparative fit index for the research model was estimated 0.983, which showed the good fit of the model. The results showed that authentic leadership has a negative and significant effect on charlatan behavior. Employees' moral identity also moderates the effect of authentic leadership on charlatan behavior. Considering its context-oriented nature, this research led to identifying new angles for charlatan behavior in the public sector.

Abstract Consumer behavior is a critical aspect of marketing strategy that involves understanding customers' buying habits, motivations, and preferences. Better understanding of customer behavior through innovative methods of storing and analyzing customer data and information leads to formulation of more effective strategies. The emergence of new computing technologies has brought about major changes in the ability of organizations to collect, store and analyze big data. Many researches have done customer classification using unsupervised machine learning algorithms such as K-Means using the famous RFM model, but these models are insufficient by ignoring other important parameters according to the field of application. This research is applied in terms of purpose and descriptive in terms of data collection, and it is a quantitative type of research that was conducted using 200,000 transactions of online retail store customers during the period of 2013 to 2018. The model is modified by adding variety "D" as a fourth parameter, referring to the variety of products purchased by a given customer. Classification based on RFM-D is applied in the online retail market in order to identify behavioral patterns for customers. Examining the behavior of cluster customers showed that the variety of products, along with other behavioral variables, provided more profitability than the RFM model.

Abstract Since the design, implementation, and execution of any policy require consensus and alignment among its stakeholders, identifying these mindsets is a crucial first step in advancing such an initiative. National production, with its various dimensions, has been a key topic of interest for scholars and policymakers. Accordingly, this study aims to categorize the mindsets of actors in the field of national production in Iran, using Q methodology to identify and classify these perspectives. In this research, key propositions concerning national production were extracted through document analysis and subsequently presented to 28 stakeholders, including government officials, parliament members, and experts. Data analysis with Q methodology identified five distinct mindset types: "National Production Advocates," "Self-sufficiency Champions against Rent-seeking," "Pro-competition Opponents of Intervention," "Institutionalist Technocrats," and "Outward-looking Developmentalists." Despite some differences, stakeholders agreed on certain issues, including the regulatory role of the government, the need for targeted support for national production, the importance of completing the value chain in major industries, and the necessity of deepening production. A primary point of consensus is that national production requires a guiding entity capable of creating coherence and consensus among stakeholders, to implement cohesive and effective policies in this field.

Abstract High-reliability supply chains, while investing in resilience to reduce potential vulnerability, in the face of uncertainty and the resulting changes, are forced to take risks and apply innovation to develop future capabilities. Given the challenge of managing such a dual process in the realm of critical systems involved in safety and security threats, the present study, utilizing the concept of organizational ambidexterity, seeks to respond to the aforementioned challenge with the aim of designing a high-reliability resilient supply chain based on innovation with a dynamic capabilities approach, while studying the supply chains of companies in various iranian industries using the partial least squares structural equation modeling(PLS-SEM). The results of confirmatory factor analysis(CFA) indicate the success of measuring the identified dimensions, and the results of the analysis of quality criteria and model fit confirm the validity of the structure and its acceptable fit in relation to the empirical data. Referring to the results of hypothesis test based on confirming the indirect effect of innovation on supply chain high-reliability through the mediation of dynamic and operational capabilities of resilience, as well as the confirming results of generalizability test of the model, the research findings show that the efficiency and effectiveness of a high-reliability resilient supply chain is due to the significant contribution of improving and maintaining the integrity of dynamic and operational capabilities of resilience in convergence with the capabilities and main factors of high-reliability through the implementation of innovation at the exploitation and exploration levels using structural and contextual ambidexterity.