نشریه ارزش آفرینی در مدیریت کسب و کار
سال سوم شماره 4 (پیاپی 10، زمستان 1402)

The purpose of this research is the effect of knowledge management on organizational performance considering the mediating variable of business process management. The current research is applicable in terms of purpose, and descriptive-survey in terms of data collection, and correlative type. The statistical population of the current research includes managers and experts of a company active in the field of export and import as many as 160 people, which was considered to be 113 people using Cochran's formula, and non-random sampling method was used. The collection tools in this research include knowledge management questionnaires by Fong et al., (2009), business process management by Rouhani et al., (2014), and organizational performance by Choi and Rainey (2010). The reliability of the research was checked and confirmed using Cronbach's alpha criterion in SPSS software. PLS software was used to fit the conceptual model of the research. The findings of the research showed that based on the significant values ​​of them, all three hypotheses were confirmed. The impact of knowledge management on business process management was 0.742, the impact of knowledge management on organizational performance was 0.422, and the impact of business process management on organizational performance was 0.652. Therefore, the most important proposal of the research is to pay attention to the preservation, sharing and application of knowledge, which is effective both in managing business processes and in increasing the level of organizational performance.

The present study aims to examine the effect of a virtual store atmosphere on customer creativity, with perceived epistemic curiosity serving as a mediator in Digikala online shopping stores. The research method is a descriptive survey in nature and applied in terms of purpose. In addition, it employs a correlational research methodology. The current study collected data through library research and field methods. All students at the University of Isfahan constituted the statistical population for the present study. The sampling method was convenience sampling, and based on Cochran’s formula, the required sample size was calculated to be 384 individuals, of whom 336 students ultimately completed the questionnaire. A standard questionnaire was used to collect data, and its content validity and reliability were confirmed by experts using Cronbach’s alpha coefficient and composite scale reliability, respectively. SPSS and Smart PLS software were used to analyze the research data. All of the research’s hypotheses were confirmed. The significant effect of virtual store experience on consumers’ creativity, the significant effect of virtual store experience on perceptual curiosity, the significant effect of perceptual curiosity on consumers’ creativity, and the mediating hypothesis of the effect of virtual store experience on customers’ creativity via perceived epistemic curiosity were proven.

The purpose of the current research is to design the pattern of compulsive purchase of consumers in the TV shopping industry using the data-based theory. To answer this question, a mixed research method (qualitative and quantitative) was used; the data-based theory was used in the qualitative part, and the descriptive-correlative research method was used in the quantitative part. For data analysis; MaxQDA2020 software was used in the qualitative part, and Lisrel software was used in the quantitative part. The sampling method in the qualitative part is of a targeted type, which was saturated by conducting 10 interviews with professors and experts in the fields of marketing and sales, management, sociology and psychology; and in the quantitative part, data was collected using a questionnaire from the statistical population of television buyers in Mashhad. 384 questionnaires were collected based on Morgan's table and based on random sampling. The validity of the questionnaire was confirmed using face and content validity, and reliability using Cronbach's alpha. The results and findings of the research showed that the central phenomenon of compulsive buying from television has two main categories, including quick and thoughtless buying and irrational and emotional buying, and we have identified the factors that directly and indirectly cause this behavior. Some of the most important factors included appropriate marketing mix design for television sales, marketing capabilities of television sales companies, individual demographic characteristics, personality causes, psychological causes, lifestyle, family, and the role of cultural and social structures.

The purpose of this research is to combine the genetic algorithm in the optimization of the stock portfolio in the financial decision making of investors; in a simulation project, the final use of the input data is to build the simulation model. This process includes collecting input data, analyzing the input data, and using these analyzed input data in the simulation model. The statistical population of the research includes 20 symbols (companies) from among the industries (Vabsadar, Vetjarat, Akhaber, Fakhuz, Fars, Balbar, Tapampi, Khasapa, Khodro, Sasharq, Sosofi, Shobhorn, Shapna, Ghopino, Fould, Ghasabat, Kesra, Vanbank, Vanneft, Veniki) and the information related to the daily stock price and the daily index value from Decembre 22, 2008 to January 16, 2020 was considered as a sample. The tool for collecting information and data is using the Phipiran site, and the amount of beta (risk) of stocks is calculated monthly using Excel software, and the frequency of return and beta (risk) calculated using Spss software, and distribution functions were discussed using Easy fit software; the results showed that if the agents are beginners to earn more profit than normal behavior and accept 40% risk, the amount of profit obtained after optimizing the model with genetic algorithm is more than the initial model. If the agents are professionals to earn more profit than risk-averse behavior and accept 80% risk, the amount of profit obtained after optimizing the model with genetic algorithm is more than the initial model.

The purpose of this research is to identify the determining factors of green product branding, a model for Iran's food industry. The research method is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of implementation method, and survey-exploratory in terms of data collection method. The statistical population of the research in the qualitative part includes 15 managers of green brand food companies with master's and PhD educations in the field of management, agriculture and entrepreneurship, as well as professors of business management and environment at the university, who were selected for an interview by means of judgmental sampling. The statistical population in the quantitative part is the consumers of green products in the food industry; 384 people were selected using available sampling and answered the questions of the questionnaire. Interviews and questionnaires made by the researcher and taken from the qualitative section were used to collect information. In the qualitative section, the data obtained from the interviews were coded and analyzed in three main stages: open coding, axial coding, and selective coding. In the quantitative section, SPSS software was used for analysis and PLS was used for structural equations. The results in the qualitative section showed that 214 open codes, 85 concepts and 26 subcategories were identified and extracted from the conducted interviews. The results in the quantitative part showed that the model has a suitable fit and can be used for branding green products in the country's food industry.

The purpose of this research is to provide a model of international strategic renewal of pharmaceutical industry businesses. The current research method is data-based according to the purpose, and also according to the data collection; which was collected in the year 2021 through semi-structured interviews. In order to collect information, a statistical community including 18 experts, including managers and experts in the export field of the top exporting businesses of the pharmaceutical industry active in Tehran province was selected. The purposeful sampling method is in the form of snowball, which theoretical adequacy was determined according to the rule of theoretical saturation. The qualitative part of the data was analyzed through open, axial and selective coding by MAXQDA software. The results of the research showed that in the design of the international strategic renewal model of pharmaceutical industry businesses, there are a total of 10 components were identified and extracted in the form of strategic factors (organizational components, lean and agile supply chain, international strategy), causal conditions (marketing component), structural conditions (entrepreneurship), consequences (financial performance, organizational performance) and background conditions (environmental components, management components, social components).

The purpose of this research is the relationship between e-governance foresight and the organizational transparency of managers (case study: Saderat Bank of Tehran province). According to its purpose, the research method is applicable, and in terms of its implementation, it is mixed (qualitative-quantitative), with an exploratory nature. The statistical population of the research in the qualitative part includes 12 experts, including university professors, organizational consultants, and senior managers of Saderat Bank in Tehran province, and the sampling method is non-random snowball; and the statistical population in the quantitative part includes all the employees of Saderat Bank in Tehran province; 7170 people of which 365 were selected as a statistical sample based on the table of Karjesi and Morgan. The sampling method is simple random. To collect information in the qualitative part, interviews and research literature were used, and in the quantitative part, two questionnaires made by the researcher and taken from the qualitative part were used. SPSS and PLS software were used for analysis. The results showed that a total of 101 indicators and 6 dimensions were identified for the foresight of e-governance, along with 6 dimensions of organizational transparency of managers. All the components of e-governance foresight had a significant and positive relationship on the organizational transparency of managers, and thus, the proposed model was formed. The results of the test of the relationships between the variables of the e-governance foresight relationship model with organizational transparency of managers show that the independent variables have been able to predict a strong level of changes in the dependent variables, and finally all the relationships between the variables of the e-governance foresight relationship model with organizational transparency Managers are approved.

The purpose of this research is to provide a model of the factors influencing consumers' purchase decisions at the point of purchase using data-based theory. The research method is applicable in terms of purpose, and exploratory in terms of nature. The statistical population of the research includes 10 experts and PhD professors of marketing management in the universities of Mazandaran province, and the sampling was done in the form of a snowball, and the interviews continued until reaching theoretical saturation. Semi-structured interview was used in this research. To collect and analyze the data, the foundation's data theory research strategy was used. For data analysis, MAXQDA 2020 software was used to code the interviews. The findings indicate that the causal factors affecting customers' purchase decisions at the point of purchase include customers' personality characteristics, customers' individual characteristics, and customers' psychological characteristics. Background factors include product characteristics and store characteristics. Also, intervening factors include cultural values ​​and economic conditions. Based on the findings, the main strategies include advertising programs, sales promotion programs, the possibility of product testing, in-store promotions, price leadership strategy, credit purchase, and promotion at the point of instantaneous purchase; and the consequences that are the final result of causal factors, strategies, background factors and the intervening conditions include commitment to the store, word of mouth, repeat purchase, behavioral loyalty, attitudinal loyalty, profitability, and increasing market share.

The purpose of this research is to design a model for measuring and valuing technical knowledge in the halal food industry. The present research is applicable in terms of purpose, and a mixed research (qualitative-quantitative) exploratory. The statistical population of the research in the qualitative part included 20 scientific experts and executive experts of the halal food industry, who were selected by non-probability judgmental and purposeful sampling. The statistical population of the quantitative part included 250 people from the food industry experts of Tehran province, among whom 152 people were selected using the Cochran formula and selected as the sample size by cluster random sampling method. The data collection tool in the qualitative part included a semi-structured interview, and in the quantitative part, a researcher-made questionnaire. The validity of the interviews was confirmed through retesting. And the content validity of the quantitative part of the questionnaire was also confirmed by the experts. In order to analyze the data of the qualitative part, the theme analysis method was used, and SPSS and PLS software were used for the quantitative part. The results showed that the measurement and valuation model of technical knowledge in the food industry consists of four main dimensions including: factors related to the company/organization, factors related to the extra-organizational environment, factors related to the nature of technology, and factors related to the technology market; along with 15 components and 72 indicators. The results of the research in the quantitative part also confirm the significant relationship between the dimensions, components and indicators of the final research model.

The main purpose of this research is to develop a native model of social media marketing for online stores, so the current research is in the scope of developmental research. The statistical population of this research included 10 marketing experts and university professors who were selected purposefully and non-randomly, based on reaching theoretical saturation. A semi-structured interview was used to collect data. The data obtained from the interview was done in three stages of open coding, central coding and selective coding through database theory. Max QDA version 20 software was used for data analysis. From all the indicators obtained from the qualitative analysis of 10 interviews, 11 categories and 52 indicators have been used to formulate the native model of social media marketing of online stores. The result of data analysis has been presenting a paradigmatic model including six components of causal conditions (information and communication technology, time management and cost management), background conditions (infrastructure of online stores), intervening conditions (sanctions and economic problems, and risk management), strategies (use of expert manpower and the use of influencers), the central phenomenon (social media marketing), and consequences (sustainability in the use of social networks, special value of the brand). A number of indicators were also identified for each of the identified main categories.

Megaproject means projects with a wide range of efforts to achieve strategic goals in time, financial and qualitative macro frameworks. Megaprojects have deep, comprehensive and lasting outcomes. For this reason, it is important to identify the factors related to megaprojects success and failure. This research aims to identify a theoretical framework for megaproject success and failure factors with a meta-synthesis approach. The research is applicable with a qualitative methodological approach and meta-study strategic approach. The statistical population includes megaproject management research, sampling method is judgmental, and sample size is 23. The research data analysis method includes the steps of extracting and coding data, analyzing in case-specific level, synthesis on cross-study level, and building theory with meta-synthesis. Theoretical framework of megaprojects success and failure factors has 139 concepts, 21 subcategories and 6 categories. These categories include local level, national level, governance level, international level, available capital and megaproject management process. In this theoretical framework, the categories of local level, national level and governance level have mutual influence on each other. These categories also have effect on available capital. Available capital also has effects on megaproject management process. Ignoring cultural capital and symbolic capital and focusing on physical capital and social capital is evident in megaproject management research. Also Ignoring or exaggerating international factors is evident in megaproject management research. While, in this research international factors identified as a contextual factor in the network of supra-causal relationships of the success and failure factors of megaprojects.

The aim of the current research is to provide a model to explain the effect of internal and external organizational decision components on the cost price of industrial products with a factor-based approach. The research method is applicable in terms of its purpose, and, a kind of qualitative and quantitative research of an exploratory type in terms of the process. The statistical population of the research is all experts and informants of the cost price of industrial products, and 35 people were determined as the sample size by the snowball sampling method. Companies' databases such as data related to industrial production and product pricing were used to collect data. Three methods of theme analysis, Delphi technique and factor-based model were used to analyze the data. The software used for the Delphi technique was SPSS version 25, and Netlogo software was used for the implementation and simulation of the factor-based model and its validation. The findings show that the changes in each factor during the period under review have an effect on other factors in the final price, and at the end, the validity of the model was confirmed by the experts. Therefore, the integration of the theory of constraints with factor-based modeling can be used as an effective tool in the cost price of manufactured products, and by means of it, the appropriate selling price of products can be determined and predicted in the short and long term periods.

The purpose of this research is to analyze the promotion of tax compliance using the meta-combination method. This research is applicable in terms of purpose, qualitative in terms of the way of collecting data, and with a meta-composite approach in terms of the method of conducting the research, using the approach of Barroso and Sandlowski (2007) that the steps of this research are based on the seven-step method to review the research literature. The statistical population of the research includes the results of research conducted in countries that have analyzed the promotion of tax compliance. For data analysis, meta-combination method was used. In this study, to identify the components of tax compliance, first the screening criteria and analysis on the conducted researches finally led to the selection of 23 documents that met all the requirements set by the review protocol. By examining these documents, 26 codes were identified as organizing themes and were introduced in the form of 5 comprehensive theme codes with the titles "cultural norm, social values, central norm, rule of law, executive guarantees".

The purpose of this research is to investigate the impact of environmental stimuli on the implementation of the agility policy in logistics villages of Tehran province. The current research is applicable-developmental in terms of purpose. The statistical population of the research includes managing directors and members of the board of directors, deputies, managers and heads and supervisors of different departments of logistics villages in Tehran province, whose number is 99 and the sampling method is total number. The information collecting tool was the questionnaire of environmental stimuli made by the researcher, taken from the qualitative section. The reliability of the research was checked and confirmed using Cronbach's alpha criterion in SPSS software. SPSS software was also used for data analysis, and PLS software was used for structural equation modeling. The findings of the research showed that the acceptance percentage of the language term "very high pressure and impact" is confirmed for the category of the impact of environmental stimuli on the implementation of the agility policy of the administrative system of logistics villages in Tehran province, and also the model has a good fit.

The purpose of this research is to provide a customer loyalty model based on the five senses with the mediating role of perceived value in the insurance industry (case study of life and investment insurance). The research method is applicable in terms of purpose, and descriptive-survey in terms of the conducting method. According to the subject nature of the research model and professors' opinions, the statistical population of the research is the insurance buyers; and due to the limited statistical population, 384 people were selected using Cochran's formula; and the random sampling method is simple. The collection tool is a researcher-made questionnaire, taken from the qualitative part of the research. SPSS and PLS software were used for analysis. Also, confirmatory factor analysis was used to show the reliability of the questionnaire. The results showed that the five senses with the mediating role of perceived value have a positive and direct effect on customer loyalty, and the fit of the proposed model for the relationship of the variables has been confirmed.