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The purpose of this paper is to investigate the effect of brand experience on brand equity dimensions in the perspective of customers (including brand identification, physical quality, staff behavior quality, brand awareness, ideal self-congruence and life style-congruence) on brand satisfaction and loyalty in Iranian banking industry.

The author designed the conceptual model of the research based on the existing relationships between the research variables and the proposed hypotheses. By a questionnaire, the opinion of 288 customers and clients of selected branches of Melli and Tejarat banks were collected in two Provinces, including East and West Azerbaijan Provinces. The research hypotheses were tested using structural equation modeling.

The results of the paper showed that the brand experience directly affected all dimensions of brand equity. Also, the results indicated that except for lifestyle congruence, other dimensions of equity directly affected the customers' brand satisfaction.

This paper is significant, because it addresses the experience relationships and brand equity with the perspective of the customers of banks in an Islamic country, which affects the development of branding literature.

The strategic importance of brand identity management has been emphasized in the brand management literature, but studies that examine brand identity sub-components effects on customer resilience to negative information are very few. In this regard, this study aims to examine the effect of brand distinctiveness and prestige as sub-components of identity on young customers’ loyalty and resilience to negative information through the mediating variable of brand attractiveness in the luxury electronics market.

Using a structured questionnaire, data were collected. Based on a five-point Likert scale were asked of consumers and owners of electronic products (mobile phone, tablet and laptop) to indicate their level of disagreement and agreement with series of statements. After an analytic process, 422 valid questionnaires were obtained. The hypotheses were tested by using structural equation modeling.

The results showed that brand prestige and distinctiveness have direct effect on brand attractiveness, which prestige had more influence than distinctiveness. The results indicated that brand loyalty was strongly affected by direct brand attractiveness, and that the effect of brand attractiveness on the resilience to negative information was not significant. Finally, the study results showed that resilience to negative information is affected by brand loyalty.

This study is significant because it is one of the few studies that examines the effect of brand identity on brand attractiveness and consumers’ extra-role behavior, which results in the development of branding literature in the field of luxury products.

This paper aims to identify the impact of demographical and organizational variables such as age, gender, experiences use of knowledge management system (KMS), education and job level on knowledge sharing (KS) performance of knowledge workers in knowledge activities of a KMS. Specifically, it seeks to explore that is there any relationship between the KS behavior patterns of high KS performance knowledge workers with their performance. Furthermore, this study using its conceptual attitude model aims to show that whether knowledge workers’ behavior patterns in sharing information and knowledge throughout a KMS have any specific effect or not.

This paper proposed a framework to mine knowledge workers’ raw data using data mining techniques such as clustering and association rules mining. Also, this research uses a case-based approach to a knowledge-intensive company in Iran that works in the field of information technology with 730 numbers of workers.

Findings suggest that demographical and organizational variables such as age, education and experience use of KMS have positive effects on knowledge worker’s KS behavior in KMSs. In fact, people who have lower age, higher education degrees and more experience use of KMS, have more participation in KS in KMS. Also, results depict that the experienced use of KMS has the most impact on the intention of KS in this KMS. Findings emphasize on the importance of the influence of the behavioral, organizational environments and psychological factors such as reward system, top management support, openness and trust, on KS performance of knowledge workers in the KMS. In fact, according to data, the KMS reward system caused to increasing participation of the users in KS, also in each knowledge activity that top managers participate in, the scores were higher.

This research helps top managers in designing policies and strategies to improve the participation of knowledge workers in KS and helps human resource managers to improve their membership policies. Also, assist Information Technology (IT) managers to enhance KMSs’ design to leverage with organization strategies in the field of improving KS and encourage people to participate in KMS.

This research has two key values. First, this paper applies a data mining framework to mining and analyzing data and this paper uses actual data of a KMS in a specialist company in Iran, with about 27,740 real data points. Second, this paper investigates the impact of demographical and organizational attributes on KS behavior, which little is empirically known about the impact of demographical variables on KS intention.

Entrepreneurship is one of the economic support systems that promote economic growth in Indonesia. Indonesia as a country with good tourism spots has enormous potential to create jobs. The greater the job opportunity, the lower the unemployment. The purpose of this study is to analyze the characteristics of entrepreneurs in the tourism industry in Indonesia. Meanwhile, the method used is a quantitative descriptive approach with logit regression method where four variables are found, namely entrepreneurship, location, gender, and marital status which have a significant positive relationship with the tourism industry. But on the other hand, the location variable also has a significant negative effect on the tourism industry. This study can contribute to government policies to improve Indonesia’s economic development by increasing the productivity of human resources in the tourism industry.

At present, the evaluation methodology on the design innovation of the stadia is not complete. The degree of innovation of the design scheme of the stadia still cannot be quantitatively estimated; this inability makes it difficult to guide the selection of a design scheme. To solve the problem of evaluation on the innovative design of the stadia, improve such design’s evaluation theory, and accurately direct the selection of the design scheme of the stadia, the Delphi method is used to select evaluation indexes. Moreover, analytic hierarchy process (AHP) is applied to determine the index weight in this study; based on this index weight, fuzzy comprehensive evaluation is used to establish the model of the design innovation evaluation of the stadia. The model involves the comprehensive and simple selection of indexes and the high reliability of weight selection; the model can quantitatively calculate the comprehensive index evaluation value of the design innovation of the stadia in a relatively accurate and rapid way. In this study, Hunan People’s Stadium is taken as the example for design innovation evaluation; the procedure of design innovation evaluation is introduced in detail. The design innovation evaluation value of the stadia is 2.977 through analysis; this value indicates an ordinary degree of innovation. The innovation evaluation value of the shape is 3.425; this value shows a relatively high degree of innovation. The innovation evaluation value of the structure is 2.47; this value represents a relatively low degree of innovation. The model in this study is an accurate and prompt model that can conduct a comprehensive evaluation on the design innovation of the stadia based on quantitative calculation. This model directly and comprehensively finds the advantages and disadvantages of a design scheme. Thus, it is quite suitable for the design innovation evaluation of the stadia.

The purpose of this paper is to provide an overview of the antimicrobial and antioxidant properties of postbiotics and the use of postbiotics to increase the shelf life and quality of food.

In this review paper, all articles from five electronic databases containing Google Scholar, Web of Science, PubMed, Scopus and Science Direct were considered and selected according to the purpose of the study.

In addition to improving food safety and increasing its shelf life, natural food preservation using biological preservatives also has a positive effect on improving consumer health. As a result, protection using natural antioxidants and antimicrobial agents seems essential. Postbiotics, having favorable characteristics such as nontoxicity, long shelf life and ease of standardization and transportation, are known as suitable antioxidant and antimicrobial, and there is an interest in making antioxidant and antimicrobial active films containing postbiotics to delay spoilage, increase the shelf life of perishable foods without changing their sensory characteristics.

Postbiotic refers to all soluble factors that are either secreted from living probiotic cells or released after cell lysis. These compounds include enzymes, peptides, polysaccharides, organic acids, teichoic acids and cell surface proteins, and their effects have been proven to improve some human and animal diseases. Probiotic bacteria must survive unfavorable conditions such as processing, storage, distribution, preparation and the digestive system to exert their health-giving effects, whereas their metabolites (postbiotics) have overcome these adverse conditions well and may be a good substitute for probiotics.

Sustainable development is the management and conservation of the basic natural resources through which organizational and technological changes are lead to meet present and future needs of humans. In developing and analyzing the solutions based on sustainable development principles, an integrated and holistic approach needs to be pursued. Not only system dynamics has the essential tools for systemic analysis, but also it is an appropriate approach for perceiving problems and offering solutions. The aim of this study is to present an integrated and systemic model to analyze the existent dynamics in sustainable development of Iran’s farming industry.

To achieve the mathematical equations and values of model’s variables, a simulation is carried out using the data gathered from Damavand city, Tehran, Iran. The parameters of the model are selected and calculated considering the specifications of this case study. After modeling the system, Vensim simulation software has been employed, followed by identifying the leverage points of the model; then, a set of scenarios have been generated and tested through simulation to achieve a much improved understanding of the system’s dynamic behavior.

The results show that two factors are among the most important leverage points: “profit gained from agriculture” and “required water”. The authors could also observe that the main issue in Damavand is the lack of water for which saving policies would be a major step toward agriculture’s sustainable development in this area.

The paper shows how System Dynamics simulation approach can provide deep insights into the field of sustainable development and present efficient policies for agriculture sustainability.

This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations of these models in handling temporal information in financial time series.

Employing a robust methodological framework, the study systematically compares a range of Transformer models, including first-generation and advanced iterations like Informer, Autoformer, and PatchTST, against benchmark models (HAR, NBEATSx, NHITS, and TimesNet). The evaluation encompasses 80 different stocks, four error metrics, four statistical tests, and three robustness tests designed to reflect diverse market conditions and data availability scenarios.

The research uncovers that while first-generation Transformer models, like TFT, underperform in financial forecasting, second-generation models like Informer, Autoformer, and PatchTST demonstrate remarkable efficacy, especially in scenarios characterized by limited historical data and market volatility. The study also highlights the nuanced performance of these models across different forecasting horizons and error metrics, showcasing their potential as robust tools in financial forecasting, which contradicts the findings of Zeng et al. (2023)

This paper contributes to the financial forecasting literature by providing a comprehensive analysis of the applicability of Transformer-based models in this domain. It offers new insights into the capabilities of these models, especially their adaptability to different market conditions and forecasting requirements, challenging the existing skepticism created by Zeng et al. (2023) about their utility in financial forecasting.

Climate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.

The study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.

Empirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.

The research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.

This study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.

The purpose of this paper is to adopt both the fragments of imidazole and thiosemicarbazide as reaction centers, to synthesize a water-soluble corrosion inhibitor named as thiosemicarbazide-imidazole derivative (TH-IM).

This paper presents potentiodynamic polarization tests, electrochemical impedance spectroscopy tests and morphology study of metal surface by scanning electron microscope and thermodynamic study.

In the aggressive condition of CO₂ saturated Wt. NaCl solution at 333 K for 72 h with 400 ppm inhibitor dosage, the efficiency of inhibition increases approximately 98 per cent through the method of weight loss.

This paper finds a new corrosion inhibitor about TH-IM which has a good solubility in water.