Noorolla Majidian Dehkordi; Mohammadreza Dalvi Esfahan; Sayyed Rasool Aghadavood
Abstract
Purpose: Most of the reasons that result in high staff turnover and cost a lot of money on new employees are rooted in the lack of current job embeddedness and finding a way to keep employees in their current job has always been a concern for Central Bank managers. So the question is how to find a suitable ...
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Purpose: Most of the reasons that result in high staff turnover and cost a lot of money on new employees are rooted in the lack of current job embeddedness and finding a way to keep employees in their current job has always been a concern for Central Bank managers. So the question is how to find a suitable model of human resource management in this regard?Method: Developmental research was designed with a qualitative approach and the strategy of the ground theory. Data were collected from in-depth interviews conducted with 25 expert managers of the Central Bank based on purposeful sampling and continued until reaching theoretical saturation. Using data analysis and coding, the initial conceptual model was created using the opinions of experts. In the quantitative section, 346 lower-ranking employees were selected by stratified random sampling method to answer the questionnaire. Qualitative data analysis was done using the thematic analysis method. Quantitative data analysis by using confirmatory factor analysis was analyzed and coded with the help of SPSS, and AMOS software. Each of them was evaluated separately, based on the systematic method of Strauss and Corbin.Findings: Eventually, a model was created for organization embeddedness that could be helpful for the organization to reduce costs and increase employee productivity.Conclusion: Organizations and the community should hire staff only by holding exams and obtaining the necessary quorum for this aim. They should not discriminate against applicants and all should be in the same conditions to qualify and compete so do best to succeed in own job.
Rahim Vejdan Taleshmekael; Morteza Hazrati; Badri Abbasi; Mousa Rezvani Chamanzamin; Mehran Nasirzad
Abstract
Purpose: The main goal of this research is to design a model of human resource capabilities, with an emphasis on digital knowledge management, for Iran Oil Terminals Company.
Method: This research is descriptive-survey in terms of research design, cross-sectional in terms of time, and applied in terms ...
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Purpose: The main goal of this research is to design a model of human resource capabilities, with an emphasis on digital knowledge management, for Iran Oil Terminals Company.
Method: This research is descriptive-survey in terms of research design, cross-sectional in terms of time, and applied in terms of purpose. It is categorized as exploratory research. The statistical sample consisted of 20 professors and senior managers from the Ministry of Oil in the qualitative section and 100 managers and experts from Iran Oil Terminals Company in the quantitative section. Data collection in the qualitative part was conducted through interviews and data analysis techniques, while the quantitative section utilized questionnaires and structural equation modeling techniques.
Findings: The findings were categorized into 114 codes and 26 concepts, which were further grouped into three categories: human-behavioral capabilities, specialized-technical capabilities, and analytical capabilities. The research confirmed that the role of human resource capabilities in the growth and development of organizations is undeniable. It emphasized that human resources management must leverage this intra-organizational capital to foster organizational advancement and excellence. A lack of qualified human resources can be a significant reason for an organization's stagnation.
Conclusion: The analysis revealed that human resource capabilities, with an emphasis on digital knowledge management, encompass behavioral, specialized-technical, and analytical capabilities. Ultimately, a suitable model for human resource capabilities, emphasizing digital knowledge management, was proposed for Iran Oil Terminals Company. Human resource capability is valuable, rare, irreplaceable, and difficult to imitate; thus, it is essential for creating sustainable competitive advantages. Proper utilization of human resource capabilities can enhance organizational performance. This study took a process-oriented approach to propose an integrated model that comprehensively considers key variables such as human resource capability and knowledge management effectiveness.
Mahmood Maleki vir; Majid Fattahi; Reza Uosefi Saeidabadi
Abstract
Purpose: This research aims to develop a digital marketing model for the business-to-business (B2B) commerce sector.Method: This applied research, which used a mixed-methods approach, started with a qualitative phase to create initial model. This was followed by thematic Subsequently, an interpretive ...
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Purpose: This research aims to develop a digital marketing model for the business-to-business (B2B) commerce sector.Method: This applied research, which used a mixed-methods approach, started with a qualitative phase to create initial model. This was followed by thematic Subsequently, an interpretive structural modeling at the thematic interpretive structural modeling. A quantitative validation of the model was then conducted. The qualitative sample included 15 experts, selected based on theoretical saturation. In the quantitative phase, a random sample of 384 managers from industrial companies was drawn from an effectively infinite population. Thematic analysis was used for qualitative phase, while partial least squares technique was employed in the quantitative analysis.Findings: The qualitative phase identified key themes: infrastructure, training and learning, organizational culture, regulations, relation channels, social network, customer orientation, cost and income, investment and competitive advantages. Based on these, thirteen hypotheses were developed and tested. The results indicated that infrastructure has a significant impact on regulations, organizational culture, and training and learning; regulations have a significant impact on social networks; organizational culture has a significant impact on social networks and communication channels; training and learning have a significant impact on communication channels; social networks have a significant impact on customer orientation; communication channels have a significant impact on customer orientation; customer orientation has a significant impact on capital attraction, cost performance, and revenue; capital attraction has a significant impact on competitive advantage; cost performance has a significant impact on competitive advantage.Conclusion: The study concluded that B2B digital marketing is a complex topic and B2B businesses should carefully consider the subtleties of this form of marketing.
Maryam Tavosi; Nader Naghshineh
Abstract
Purpose: Nowadays, average visit duration through the university library websites and bounce rate of the web users, are two important factors from the standpoint of Google Search Engine Optimization (SEO). The main objective of this paper is to study the two mentioned factors in Iranian university library ...
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Purpose: Nowadays, average visit duration through the university library websites and bounce rate of the web users, are two important factors from the standpoint of Google Search Engine Optimization (SEO). The main objective of this paper is to study the two mentioned factors in Iranian university library websites and interactive relationship analysis between them.Method: This study opted for the webometrics approach. The research community was 42 library websites of Iranian governmental universities affiliated with the ministry of science, except Payam- Noor and Farhangian. These mentioned websites were analyzed by the descriptive and analytical survey methods. The data had been extracted by the "Similarweb" analytical tool (3 months: January to March 2020). Three software, "SPSS22", "Excel" and "LibreOfficeCalc", were used for data analysis.Findings: The lowest (best) bounce rates from the library website were observed in the websites of the Central Library of Allameh Tabatabai University and the Digital Library of the University of Guilan, respectively. The highest (best) "average visit duration", was observed in the digital library websites of Isfahan university of technology and the university of Tehran, respectively.Conclusion: The "bounce rate" of members of the research community has been observed between 13% and 100%. Also, "average visit duration" has been seen from 0 to 300 seconds. Iranian university library websites from the standpoint, two factors that impacted Google SEO, have been seen in the weak level. A significant inversely correlation was obtained between "Bounce Rate" and "Average Visit Duration" in 42 Iranian governmental university library websites with an amount of 0.6.
Seyed Mehdi Hoseini
Abstract
Emotion recognition from speech has noticeable applications within the speech-processing systems. The goal of this paper is to permit a totally natural interaction among human and system. In this paper, an attempt is made to design and implement a system to determine and detect emotions of anger and ...
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Emotion recognition from speech has noticeable applications within the speech-processing systems. The goal of this paper is to permit a totally natural interaction among human and system. In this paper, an attempt is made to design and implement a system to determine and detect emotions of anger and happiness in the Persian speech signals. Research on recognizing some emotions has been done in most languages, but due to the difficulty of creating a speech database, so far little research has been done to identify emotions in Persian speech. In this article, because of the dearth of a suitable database in Persian to detect feelings, before everything, a database for moods of happiness and anger and neutral (with no emotion) in Persian, including 720 sentences was set up. Then the frequency features of speech signals obtained from Fourier transform such as maximum, minimum, median and mean as well as LPC coefficients were extracted. Then, the MLP neural network was used to detect emotions of happiness and anger. Results show that our algorithm performs 87.74% accurately.
Nasrin Ghadami
Abstract
The purpose of the paper was to identify the status of digital resources management in the central library of Allameh Tabatabae’i University based on the open Archival Information System(OAIS) reference Model template .The Methodology and approach was carried out in terms of the nature of the applied ...
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The purpose of the paper was to identify the status of digital resources management in the central library of Allameh Tabatabae’i University based on the open Archival Information System(OAIS) reference Model template .The Methodology and approach was carried out in terms of the nature of the applied and case study method. The director and staff of the Central Library of Allameh Tabatabae’i University were research community. By reviewing the literature and resources available in relation to digital resource management, a six-part log is provided for this research. The data were analyzed by descriptive statistics (calculating abundance, frequency and mean) and interpretation. The Findings was designed to determine the significance of the 6 subsystems of the OAIS model. Among them, the "subsystem of acceptance and processing" with 90%, the access subsystem with 81%, the subsystem of management with 70%, archiving storage subsystem "with 71%, data management subsystem with 59% , Maintenance and Maintenance Planning subsystem "with 52% percent respectively, was obtained for the digital resources management of the Central Digital Library of AllamehTabataba'i University.
Zahra Nikoosefat; Pejman Jafary; Farid Ahmadi
Abstract
Due to the dispersion of these functions in the literature and their anonymity, the purpose of this study is to identify the functions of virtual reality immersion feature in B2B business customer journey and provide a framework. The concept of these functions involves the three stages: before the purchase, ...
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Due to the dispersion of these functions in the literature and their anonymity, the purpose of this study is to identify the functions of virtual reality immersion feature in B2B business customer journey and provide a framework. The concept of these functions involves the three stages: before the purchase, purchase and after the purchase of this journey.This study has been done by adopting a qualitative approach and thematic review method. The required data was collected through literature review. First, research articles on B2B marketing and virtual reality were searched in Google Scholar and Scoops databases, and during the steps and filters, a total of 274 articles were extracted from these two databases. Duplicate article, 257 articles were obtained. In the next step, by applying the exclusion criteria, 224 articles were deleted and finally 33 articles were finally reviewed. After performing the thematic analysis steps, 67 codes were extracted, which were presented in the form of four themes or main functions and nine themes or sub-functions. The findings of this study contribute to a more comprehensive understanding of managers and marketing and sales experts of the functions of the VR immersion feature at each stage of the B2B customer journey. Managers and owners of B2B businesses can use these functions in customer journey based on their marketing and sales goals and enjoy its benefits. It also helps researchers identify and improve the scientific and managerial understanding of the functions of the VR immersion feature and how it creates value in B2B client journey. According to the results of this research to future researchers, reviewing the literature with more sources and a wider period, developing a research model using other theories; And model testing with initial data is recommended.
Reyhaneh Toudeh Bahambari; Hossein Hakimpour; Mahdi Mahmoodzadeh Vashan; Hamid Rezaeifar
Abstract
Purpose: The purpose of this study was to prioritize the factors affecting consumer-buying behavior in online social media marketing.Method: The analysis and validation of indicators were conducted using the mixed method of structural equation modeling and partial least squares. Additionally, the IPMA ...
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Purpose: The purpose of this study was to prioritize the factors affecting consumer-buying behavior in online social media marketing.Method: The analysis and validation of indicators were conducted using the mixed method of structural equation modeling and partial least squares. Additionally, the IPMA matrix was utilized to determine the importance and type of performance of each factor. The research data were influenced by consumer information, predominantly consisting of women with a master's degree aged between 36 and 50 years. The study employed a non-probability sampling method common for online surveys, and 466 individuals were examined using Cohen's effect size formula.Findings: The research findings indicated that consumer engagement was the most important factor, and ease of use exhibited the highest level of performance in the overall social media model. Furthermore, consumer engagement was identified as the most important factor, while electronic word-of-mouth (EWOM) demonstrated the highest performance level on Instagram. Conversely, EWOM was deemed the most important factor, with consumer engagement displaying the highest performance level on Telegram. These results can be utilized by marketers to influence consumer purchasing behavior and craft online marketing strategies accordingly.Conclusion: Companies utilizing online social media platforms are advised to enhance consumer engagement and performance by implementing short-term techniques and effective strategies, such as incorporating online chat functionalities in the user environment. Instagram, being the most widely used social media platform and an online shopping hub for consumers, showcased acceptable performance in terms of consumer engagement. Hence, companies need to take measures to elevate performance levels to match their importance. In the case of Telegram, EWOM emerged as the most crucial factor among others, with a commendable performance rating. Businesses can bolster their Customer Relationship Management (CRM) units and enhance WOM initiatives to the fullest extent possible.
Seyed Mehdi Vahabi; Azam Rahiminik; Seyed Abbas Heydari
Abstract
Purpose: The aim of the research was to identify the antecedents and consequences of digital content marketing in online insurance companies.Method: The present study has been conducted by adopting a mixed approach (qualitative and quantitative) and in an exploratory manner. In the qualitative part, ...
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Purpose: The aim of the research was to identify the antecedents and consequences of digital content marketing in online insurance companies.Method: The present study has been conducted by adopting a mixed approach (qualitative and quantitative) and in an exploratory manner. In the qualitative part, thematic analysis technique has been used in the MAXQDA2020 software. The community of the qualitative department was the managers and experts of the sales and marketing department of the insurance industry (electronic and digitalized department). Based on targeted sampling, 10 people were considered as samples. Qualitative data was collected using semi-structured interviews. For the validity of the findings, Cohen's kappa index was 0.837, which is confirmed. Structural equation method is used in a small part. In the quantitative part of the research, the statistical population consisted of experts and managers of marketing units and assistants in the country's insurance industry in Tehran. Using Cochran's formula (for unlimited population), a sample of 384 people was extracted. Based on the codes of the qualitative part, a researcher-made questionnaire was formed. The data collected from the questionnaire were analyzed in AMOS 24 software.Findings: The results show that the antecedents of digital content marketing include the fundamental requirements of digital content marketing, requirements before the production of digital content, managerial/organizational requirements, and perceptual-cognitive antecedents of the audience and identified consequences including marketing consequences, financial consequences, and brand-related consequences, the favorable consequences for the customer and the engagement of the audience with the content in the digital content marketing model.Conclusion: This study has designed and explained the digital content marketing model. In recent years, electronic businesses have been growing rapidly and have gradually taken a relatively favorable share of the industrial enterprises of the country and play an undeniable role in the growth of the country's economy. One of the important parts of digital marketing is the production and creation of valuable content. Another expression, the combination of content and technology refers to the production of digital content. Content marketing is actually a method in which the organization continuously creates and publishes valuable content in order to attract and reach the audience, and its purpose is to transform the customer's behavior into a profitable behavior for the organization.
Sahar Mohammadi; Yousef Gorji Mahlabani; Fariborz Karimi; Babak Mohammadhosseini
Abstract
Purpose: The study aims to study the effect of architectural design parameters on IEQ in accomplishing school smartification.Method: The research was conducted in school buildings located in Tabriz, Iran. The indicators chosen to represent IEQ are the adaptive PMV model used for thermal comfort, imageless ...
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Purpose: The study aims to study the effect of architectural design parameters on IEQ in accomplishing school smartification.Method: The research was conducted in school buildings located in Tabriz, Iran. The indicators chosen to represent IEQ are the adaptive PMV model used for thermal comfort, imageless daylight glare probability used for visual comfort, and CO2 concentration used for IAQ assessment. The simulation technique was used to collect data for a generative parametric school model. The method of data analysis includes a multivariate linear regression algorithm, t-test statistic, and one-way analysis of variance. The studied variables are dimensions of classrooms with the fixed area, Percentage of window area on a wall, window height, Shading, and protrusions in plan design. The stepwise method for multivariate linear regression in SPSS was used to assess the vital IEQ indicator in terms of thermal and visual comfort and CO2 concentration.Findings: The study found that among studied indicators, the south facade window ratio significantly correlates with IEQ. The other CRI parameters are the north window ratio and north window height. the findings revealed that to increase the IEQ in schools, facade design is more critical than the plan. The higher the window surface on the south, north, west, and east faces, the greater the thermal comfort and glare probability is.Conclusion: However, increasing the height of the windows can reduce glare and also increase thermal comfort. Thermal comfort improves as the length of the southern classrooms rises. On the bright side, it has no noticeable glare effect.
Saeed Ghaffari; Masoud Bakhtiari
Abstract
Purpose: This research aims to evaluate the user interfaces of the English web pages of selected national digital libraries, based on the established criteria found in the resources to propose a suitable interface for the Payame Noor University digital library.
Method: This research employed a survey ...
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Purpose: This research aims to evaluate the user interfaces of the English web pages of selected national digital libraries, based on the established criteria found in the resources to propose a suitable interface for the Payame Noor University digital library.
Method: This research employed a survey and descriptive methodology. A checklist included 10 main criteria and 114 sub-criteria was used for evaluation. The study population included digital libraries from various countries including America, Australia, France, Swiss, New Zealand, Netherland, Poland, Japan, India and Italy. Data analysis was performed using SPSS software and Excel. The hypotheses and questions were tested by t-test and Friedman-test.
Findings: The conclusions indicated that 50% of criteria were met by 50% of libraries. The American library ranked first, meeting 70.40% of criteria, followed by France at 62.07% and Swiss at 40.12%. Also the interface language criterion was the most frequently implemented, with a usage rate of 6.68%. User control was the least implemented used also at 6.68%.
Conclusion: The research findings indicate that the most libraries have been successful with the general criteria, and the majority of points earned pertain to adherence to these general criteria on their website pages. In particular, no attention has been paid to the criteria encompassing the scope of digital libraries’ duties, as per definitions. As observed in the findings, the interface language criterion shows the highest level of compliance. One possible reasons for this consistency across all libraries may be that the primary language in these countries is not English, leading to efforts aimed at enhancing user convenience and greater interaction of the user through careful attention to writing-related aspects on the pages. Furthermore, compliance with writing points and brevity of sentences is a key category in web pages design.
Elaheh Hosseini; Kimiya Taghizadeh Milani; Mohammad Shaker Sabetnasab
Abstract
Purpose: The research aims to visualize and analyze co-word network, and thematic clusters of the intellectual structure in the field of digital content management during 2010-2020.Method: The study is applied research with a descriptive approach which is conducted by techniques of co-word, and social ...
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Purpose: The research aims to visualize and analyze co-word network, and thematic clusters of the intellectual structure in the field of digital content management during 2010-2020.Method: The study is applied research with a descriptive approach which is conducted by techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by SPSS, UCINet, and Python programming language.Findings: 8 main clusters are identified. The cluster multimedia content management & retrieval is the most mature and central thematic cluster. The USA and various sub-categories of Computer Science are located in the top ranks of WOS in the field. Most productions were published in 2020. Generally, the Clusters were labeled in two contexts of health and LAM (Libraries, Archives, Museums, and cultural heritage).Conclusion: Content-based management and retrieval are focused on artificial intelligence, decision-supported, knowledge-based and ontological techniques which are conducted as novel approaches and underlying trends in the field.
Sara Mohammadi; Abdolhadi Darzian Azizi; Niloufar Hadian
Abstract
Purpose: E-tourism is the most cost-effective way to communicate with the target market and to publish information. It is also an easy way for customers to buy travel products. Recent advances in mobile communication technologies are leading the way for the next generation of travel commercial ...
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Purpose: E-tourism is the most cost-effective way to communicate with the target market and to publish information. It is also an easy way for customers to buy travel products. Recent advances in mobile communication technologies are leading the way for the next generation of travel commercial applications. Location-based services are among these facilities available on the mobile platform. These services use mobile tracking techniques to provide users with relevant information at the right time, based on their current location. This study investigates the LBSs value in tourism and their effect on destination brand equity components and tourist behavior.Method: The sample of the study totaled 210 visitors from Isfahan as one of the popular tourist cities in the world. The research hypotheses were analyzed using Smart-PLS3 software.Findings: The research findings revealed that LBSs have positive and significant effects on destination brand image, destination brand loyalty and WOM.Conclusion: As this paper is among the first studies investigating the positive effect of LBS on destination brand equity components and tourist behavior, the findings are beneficial for DMOs and their marketing managers. Due to their potential to create a unique travel experience as well as to personalize and tailor tourism services based on tourists' needs and personal preferences, LBS provide them with significant added value.
Ahmadreza varnaseri; Niloufar bayati
Abstract
Abstract: Research methods: Descriptive-surveyThe purpose of research is applicant, using Descriptive-survey. The tool of collecting data is questionnaire and the statistical population of this research is 17 people in charge of computer systems in colleges and 75 students. Data analysis is performed ...
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Abstract: Research methods: Descriptive-surveyThe purpose of research is applicant, using Descriptive-survey. The tool of collecting data is questionnaire and the statistical population of this research is 17 people in charge of computer systems in colleges and 75 students. Data analysis is performed with SPSS software version 22.Findings : This study shows that 84.2% due to lack of budget allocation, 71.2% high skills needed in using digital resources, 84.4% taking 8 years and above time to set up a correct system, 88.2% more than 31 devices, 53% 5 servers 76.5% of the devices have chosen over 75% internet connectivity, 47.2% ADSL, 1mb high bandwidth, high use of fiber optics. Results: Lack of budget allocation can be considered the main problem for not creating a digital library. The level of students' skill in using digital resources is at a good level and this can be a great advantage for the University of Tehran to be able to create information resources needed by students and researchers by creating a digital library and due to the technical infrastructure a digital library can be set up conveniently in colleges.
Dariush Mehrzadian; Hamid Reza Yazdani; Meysam Shahbazi; Hasan Zarei Matin
Abstract
This study aimed to design a comprehensive model for intelligent organizational knowledge mapping with a hyper-hybrid approach based on meta-ethnography. In this article, various sources and theories about the knowledge map have been examined and analyzed using the meta-combined and meta-ethnography ...
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This study aimed to design a comprehensive model for intelligent organizational knowledge mapping with a hyper-hybrid approach based on meta-ethnography. In this article, various sources and theories about the knowledge map have been examined and analyzed using the meta-combined and meta-ethnography methods. Using the results of the work, a comprehensive model of knowledge map has been developed. Based on the qualitative approach in this research, the meta-hybrid method based on meta-ethnography has been used. The tool used has been articles related to mapping knowledge for smart organizations. A total of 34 pieces of research were found with the keywords related to designing and developing the knowledge map in the title field. Finally, after 4 stages of refinement, out of 34 studies, 8 were excluded and 26 studies were selected for data analysis. In this article, by examining and analyzing various patterns of knowledge map development, finally, an 11-step model was developed. The proposed model of eleven basic steps, respectively, includes: determining the knowledge objectives of these centers by developing knowledge maps and identifying users of knowledge maps, identifying definitions and terminology of knowledge centers, identifying the basic processes of these centers, and drawing and analyzing its process maps, Knowledge extraction from the activities in the processes of smart organizations according to the process map, creating a profile for the extracted knowledge, creating knowledge connections and relationships and integrating these connections into an illustrated interface, and finally validating the developed knowledge map.
Saeed Abdolmanafi; Mohammad Majdameli; Aliakbar Neghabi; Soamyeh Izadi
Abstract
Purpose: The purpose of this research was to provide a model for choosing the best content for the activity of service guilds.Method: In inferential statistics, the K-S test is used for the normality of research hypotheses. For this purpose, Pearson's correlation coefficient and linear regression tests ...
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Purpose: The purpose of this research was to provide a model for choosing the best content for the activity of service guilds.Method: In inferential statistics, the K-S test is used for the normality of research hypotheses. For this purpose, Pearson's correlation coefficient and linear regression tests have been used through SPSS 21 software, and the best content generated using genetic algorithms and forbidden search were introduced.Findings: Analysis of research and implementation results with two collective intelligence algorithms shows that Instagram has a positive and significant effect on all four dimensions and thus leads to the success of the service classes that have used Instagram.Conclusion: In this article, a combination model of genetic algorithm and forbidden search algorithm was chosen for users so that the best content, which of course does not contain malicious ads and cookies, etc., is introduced for the continuation of the service industry.
Ali Akbar Vakili; Mehdi Bagheri; Sirajuddin Mohebi; Kobra Haji Alizadeh
Abstract
Purpose: The purpose of this study is to investigate the diagnosis of employees' mental absence and to provide a suitable model for the Iranian Tobacco Company.Method: This research was conducted with a qualitative-inductive approach and the method of Strauss-Corbin's grounded theory. The research tool ...
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Purpose: The purpose of this study is to investigate the diagnosis of employees' mental absence and to provide a suitable model for the Iranian Tobacco Company.Method: This research was conducted with a qualitative-inductive approach and the method of Strauss-Corbin's grounded theory. The research tool (data collection) is a semi-structured interview that analyzes the data obtained from interviews with 10 qualified elites and experts of the Iranian Tobacco Company in three stages of open, axial, and selective coding in ATLAS TI software using the grounded theory method.Findings: 13 general categories in the form of a paradigm model in which these factors include causal conditions (individual factors; factors of group behavior; organizational factors; environmental factors), axial phenomenon (diagnosis of the mental absence of employees), contextual conditions (environmental and physical context), intervening conditions (individual factors ), and strategies (organizational strategy; job-related strategy; career development strategy), and consequences (individual outcomes; effectiveness; group outcomes) were identified.Conclusion: In a business environment with digital disruption from competitors and customers who have more choices through the availability of digital applications and information, it is important to ensure that organizations can quickly understand and adapt to new information. The need for mindfulness and control of mental absence is a prerequisite for digital transformation.
Elia Borhanzadeh; Reza Vaezi; Habibollah Roodsaz; Ghodsi Bayat
Abstract
Purpose: The present study aimed to improve the quality of delivering government services by identifying the main components of the personalization of the m-government in Iran.Method: Qualitative approach and exploratory research is applied. Data is gathered by targeted sampling and semi-structured interviews. ...
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Purpose: The present study aimed to improve the quality of delivering government services by identifying the main components of the personalization of the m-government in Iran.Method: Qualitative approach and exploratory research is applied. Data is gathered by targeted sampling and semi-structured interviews. Thematic analysis technique was used to analyze the interviews.Findings: The research findings indicate that the personalization of mobile government in Iran includes five main themes and 16 sub-themes including social factors (e-services, e-participation), e-factors (productivity, policy making), managerial factors (accountability, human capital, transparency), political factors (e-legislation, information technology infrastructure), cultural factors (e-support, e-learning).Conclusion: Experts emphasized on managerial factors like accountability and transparency of government activities. Also cultural factors are very important as digital literacy of society is very important in this regard. On the other hand regular review and update of current laws of ICT infrastructures and security policies should be considered as important by government. Also targeted filtering by personal information will make citizens more satisfied to receive updated information and related services based on their needs and preferences.
Mahdi Nasrollahi; Mohammad Reza Fathi; Amirhesam Behrooz; Khadijeh Gholipour; Somayeh Razi Moheb Saraj
Abstract
Purpose: This study aimed to investigate the impact of change management on organizational innovation and performance, examining the mediating role of employees' innovative behavior in the context of the digital age.Method: This research was applied in purpose and utilized a survey method for data collection. ...
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Purpose: This study aimed to investigate the impact of change management on organizational innovation and performance, examining the mediating role of employees' innovative behavior in the context of the digital age.Method: This research was applied in purpose and utilized a survey method for data collection. The statistical population consisted of managers and employees of Science and Technology Parks (STPs) across the country. The sample size (n=210) was determined using the standard technique for structural equation modeling (SEM), which recommends 10 to 15 observations per questionnaire item. After confirming the validity and reliability of the measurement tool, the data were analyzed using SmartPLS software.Findings: The findings demonstrated that change management exerts a significant positive effect on organizational performance, organizational innovation, and employees' innovative behavior. Furthermore, employees' innovative behavior was found to significantly enhance both organizational innovation and performance, while organizational innovation itself had a positive impact on performance. Mediation analysis confirmed that the relationships between change management and organizational performance are partially mediated through two pathways: directly through employees' innovative behavior and indirectly via the sequential influence on organizational innovation.Conclusion: The study concludes that in the digital age, implementing effective change management practices is crucial. Such practices foster innovative behaviors among employees, which subsequently promote organizational innovation and, ultimately, lead to improved overall organizational performance.
Hamideh Jafari Pavarsi; Hamideh Asadi
Abstract
Purpose The purpose of this paper is to review and analyze the management, pattern of “Digital Content” based on research published and represent an overview of subjects, methodologies, contexts, and other features which are highlighted in these works.Method: In this study, the systematic ...
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Purpose The purpose of this paper is to review and analyze the management, pattern of “Digital Content” based on research published and represent an overview of subjects, methodologies, contexts, and other features which are highlighted in these works.Method: In this study, the systematic literature review was undertaken by retrieving the studies related to “Digital Content Management” published in February 2021 on several databases. Various information of papers collected became the basis for synthesis and analysis. In addition, all the studies were qualitatively evaluated for measuring the validity of researches to present in the synthesis by Evidence-Based Librarianship (EBL) critical appraisal checklist.Findings: the systematic review presents a systematic framework based on research' items in the “Digital Content Management” field. The items include research methodology, a data-gathering tool, and other elements.Conclusion: The hidden subjects in the literature review were extracted and classified. Finally, based on these classes and other extracted information, the goal of the paper was achieved.
Jalal Salehi; Ali Hosseinzadeh; Hadi Bastam
Abstract
The developments of digital marketing in the banking industry have affected the speed of changing customer demands. Therefore, the ability to quickly and agilely adapt to changes plays a key role in creating competitive advantages. Despite the significant role of agility in responding to changes, so ...
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The developments of digital marketing in the banking industry have affected the speed of changing customer demands. Therefore, the ability to quickly and agilely adapt to changes plays a key role in creating competitive advantages. Despite the significant role of agility in responding to changes, so far there is no research that identifies the agility components of the banking industry in digital marketing. Thus, based on the designing methods of qualitative research, and investigating digital marketing experimentally and theoretically, this study presents a new model for digital marketing agility in the banking industry. In this research, the key theoretical dimensions of digital marketing agility are identified and some suggestions for facilitating the model implementation are provided. The findings of this study include important results for marketing managers in the banking industry and indicate what strategic measures are needed to establish agile practices in the structure, processes and communications of their digital marketing from a practical perspective in the context of agile digital marketing.
Mahrokh Makhsoos; Naderehosadat Najafizadeh; Habibollah Javanmard
Abstract
Understanding tourist behavior is a requirement for marketing planning for the supply of goods and services to satisfy tourists. Nowadays, many tourists decide to travel to any place by searching through internet explorers. The present study was conducted with the aim of analyzing the behavior of tourists ...
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Understanding tourist behavior is a requirement for marketing planning for the supply of goods and services to satisfy tourists. Nowadays, many tourists decide to travel to any place by searching through internet explorers. The present study was conducted with the aim of analyzing the behavior of tourists in Iran based on data mining (search rate on Google Trend). The research is applied and has been done with a causal descriptive method. The method of collecting data is by searching keywords on Google. . To collect the keywords needed for the research, we had to turn to the experts and authorities on the field as well as the relevant scientific articles. The process of data collection is that a series of key words in tourism were selected and accordingly, it was determined how much people used these words in different places in Iran. Correlation matrix (covariance) model has been used for data analysis. In this research, the structural information of these keywords was obtained and edited based on the keywords related to tourism extracted from Google Trend by time series and with the help of Pearson correlation matrix. Nine keywords were selected for search, including hotel, entertainment, pilgrimage, tourism, nature, places of interest, archeology, travel and travel tour. The keywords are not searched at random, but they are related and correlated and stem from a structural thinking. The results of the data analysis have shown the type and intensity of connections between the words that had a communication structure. It was also found that the words pilgrimage, recreation, and archeology have less connection with other words.
Ehsan Mohammadi Bajgiran; Ali HosseinZadeh; Vahid Sanavi Garosian
Abstract
Purpose: This research aimed at presenting the consumers’ compulsive buying pattern through internet advertisements of digital content in Iran's TV shopping industry.Method: Research Methodology was practical in terms of purpose and conducted using mixed method (qualitative-quantitative). The research ...
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Purpose: This research aimed at presenting the consumers’ compulsive buying pattern through internet advertisements of digital content in Iran's TV shopping industry.Method: Research Methodology was practical in terms of purpose and conducted using mixed method (qualitative-quantitative). The research community was based on the purposeful sampling method, and consisted of ten marketing experts. The research tool was interview. MAXQDA software was used to analyze data through database theory. The statistical population in the quantitative section included TV buyers in Mashhad. Based on Morgan table and random sampling, 384 samples were selected. The research tool was a researcher-made questionnaire, and the Structural Equation Method (SEM) in SmartPLS software was used for data analysis. The validity of the questionnaire was confirmed by using face, content, divergent and convergent validities, and its reliability was also confirmed using Cronbach's alpha. Both of Composite and homogeneous reliability were evaluated.Findings: "appropriate digital marketing mix design for TV sales, digital marketing capabilities, individual demographic characteristics, lifestyle, family " constitute the causal conditions in the consumer’s compulsive buying pattern in the TV shopping. According to the findings, “quick and transient purchase and irrational and emotional purchase” were identified as a central phenomenon. “TV's attractiveness from the audience's point of view, broadcasting policies, sales companies' policies, national TV belief and trust, individual awareness and knowledge about buying products and society's culture” acted as intervening conditions. In the field of buying, “intellectual structures of society and executive structures of society” identified as background conditions. Human strategies and structural and organizational strategies” acted as strategies and “Consumers outcomes; families and society outcomes” were identified as outcomes. According to the results of structural modeling, the relationships of the identified pattern were significant.Conclusion: The issue of compulsive buying is one of the most important and common issues, and buying from TV has fueled this issue, and has become the basis for its expansion and, following that, its negative consequences. In this scientific research, efforts were made to reduce the consequences of this phenomenon. The results of this study showed that although the phenomenon of compulsive purchase from TV is negative, but with proper management, useful results can be obtained from it.
Hamid Zahedi; Mehrdad Matani; Mehrara Asadollah; Yousef Gholipoor Kanani
Abstract
Purpose: The main purpose of this study is to present a change management model in the automotive industry based on general industry policies in the fourth-generation industrial revolution.Method: To achieve this goal, first the effective factors and indicators affecting change management are identified ...
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Purpose: The main purpose of this study is to present a change management model in the automotive industry based on general industry policies in the fourth-generation industrial revolution.Method: To achieve this goal, first the effective factors and indicators affecting change management are identified based on the data model of the foundation and then these factors and indicators are categorized. Given that the purpose of this research is exploratory, the use of the grounded theory research method and semi-structured interviews with experts and professors led to the development of research model criteria.Findings: Based on the interviews and previous studies, the factors affecting the management of change in internal and external categories have been identified. Finally, change management strategies have been identified in three components: selecting acceptable managers, using consultants and expert staff, and creating a sense of empathy and trust.Conclusion: The use of expert managers and appropriate leaders causes change management to be implemented productively. Ultimately, these strategies result in increased survival under the components of greater brand acceptance and profitability. Change management strategies have been identified in three components: selecting acceptable managers, using consultants and expert staff, and creating a sense of empathy and trust. Changes are more about the individual's feelings than emotions and are technical, and associating them with change is the most difficult stage of change
Mahshid Shahmohamadi; Fereshte Lotfizadeh; Ahmad Rahchamani
Abstract
Purpose: The purpose of this research is to provide a framework for innovative social media marketing strategies to address the impacts of health crises on small and medium-sized enterprises (SMEs).
Method: This research is applied in nature, based on a survey-exploratory approach, and employs a qualitative ...
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Purpose: The purpose of this research is to provide a framework for innovative social media marketing strategies to address the impacts of health crises on small and medium-sized enterprises (SMEs).
Method: This research is applied in nature, based on a survey-exploratory approach, and employs a qualitative methodology. The statistical population consists of experts in urban management and human resources management. Using the theoretical sampling method, interviews were conducted with 15 experts until theoretical saturation was achieved. The collected data were analyzed using content analysis.
Findings: The research findings resulted in a comprehensive model comprising five main themes and eighteen sub-themes. These include: driving factors (online brand communities, social listening, customer participation marketing, prosumer (producer-consumer) influencer marketing, gamification), strategic factors (increasing engagement, product/service development, increasing brand awareness, creating word-of-mouth advertising, increasing brand credibility), facilitating factors (brand associations, strengthening brand identity), primary outcomes (correctly understanding consumer needs and opinions, creating value for consumers), secondary outcomes (market development and new customer acquisition, sales promotion, loyalty promotion).
Conclusion: The study provides a practical framework to enhance SME resilience through innovative social media strategies during health crises, emphasizing key driving, strategic, and facilitating factors along with their outcomes.
