Niloufar Hadianfar
Abstract
Background: Destination branding and social media strategy may be a major and strong marketing and promotional tool for destination marketers. Today tourism has been greatly affected by social media platforms. Besides being a major source of information, these tools can facilitate the interaction process ...
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Background: Destination branding and social media strategy may be a major and strong marketing and promotional tool for destination marketers. Today tourism has been greatly affected by social media platforms. Besides being a major source of information, these tools can facilitate the interaction process among tourists and provide them with customized and personalized offers. These activities can ultimately lead to enhanced destination brand equity.Purpose: The present study attempts to investigate the impact of social media marketing on consumer-based brand equity components for tourism destinations.Method: The sample of the study totaled 149 visitors from Isfahan. Online questionnaires and convenience sampling methods were used to collect data research. The research hypotheses were tested using smart PLS software.Results: The results showed that there is a statistically positive and significant impact of social media marketing on destination brand awareness, destination brand image, destination brand quality, and destination brand loyalty.Conclusion: As the results show, social media marketing is an effective marketing tool to improve tourism marketing that in turn can enhance destination brand equity. These results are beneficial for tourism destination marketers and managers. Social media marketing as a prominent marketing tool can strengthen destination brand equity and potentially influence tourists’ behavior
MD MINARUL HOSSAIN
Abstract
The present paper is focused on the study of pre-service student’s attitude towards use of helpful technology in teaching learning process. A descriptive and survey method was used for the study. The sample consists of 150 pre-service students at B.ED and M.ED levels in the Department of Education, ...
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The present paper is focused on the study of pre-service student’s attitude towards use of helpful technology in teaching learning process. A descriptive and survey method was used for the study. The sample consists of 150 pre-service students at B.ED and M.ED levels in the Department of Education, Aligarh Muslim University, Aligarh. Out of 150 BED and MED students 69 were male and the rest female. We adapted tools from the research work of Abani Gwanshak Shikded and Theresa Ledger and further the tools were modified according to the objective of the study. We developed a tool by ourselves to measure attitude of pre- service student’s towards use of helpful technology in teaching learning process to disabled children. The data was tabulated and systematically analyzed, with the help of the Microsoft Excel. The data was fed in the Excel sheet and then analyzed using operations like converting the data into percentage, addition etc. and interpreted on the basis of objectives of the study. We took five types of helpful technology for various disabilities, namely, helpful technology for “visually impaired, reading impaired, hearing impaired, writing impaired and mathematically impaired” . The major findings of the study revealed that majority of the students are aware of helpful technology but they are not skilled in using helpful technology in teaching learning process and also majority of the pre-service students have favourable attitude towards the use of helpful technology in teaching learning process.
Suma Mozaffari; Soleyman Iranzade; Hossein Gharabeygloo; Reza Ranjpoor
Abstract
The present research has been done with a view to designing content marketing model at social media for boosting green marketing. As regards purpose, it is an applied research,and in terms of approach an exploratory survey, and typically, it can be subsumed under a qualitative research. The analysis ...
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The present research has been done with a view to designing content marketing model at social media for boosting green marketing. As regards purpose, it is an applied research,and in terms of approach an exploratory survey, and typically, it can be subsumed under a qualitative research. The analysis approach of this research is meta-synthesis. The statistical community consists of academic and scholarly articles published between 2016-2021/1395-1401 on the pertinent area of this study at Iran`s and foreign trustworthy databases. According to our findings, 1740 articles were retrieved, 324 abstracts were sieved and 186 abstracts were investigated. It was established that the titles of 1416 articles were irrelevant, and consequently they were omitted. 138 articles were deleted once their abstracts had been reviewed and found irrelevant and 95 articles were left out after a survey of their contents. The criteria used were size of the statistical sample, theoretical sufficiency (theoretical saturation), and finally 56 articles were accepted. The outcome of this process was 49 codes, 23 concepts and 10 categories. The Kappa index was used to guarantee the quality of our research. The amount of the index was calculated using the SPSS software at the significant level of 0/000 number 0/806. According to the evaluation and the extracted concepts and categories in the present research, the content marketing model of social media (Instagram) for boosting green marketing was designed based on three groups of factors: causal, mediating and consequential. The results of the findings show that in the process of content marketing of social media for boosting green marketing, a set of variables play a causal role, and can act as stimulants or propelling agents, and if the causal and mediating factors come properly about, this can culminate in the boosting of the service or product`s brand and an appropriate competitive advantage regarding green marketing in the organizations will also emerge.
Maryam Moghadami; Abbas Smiley; Ka Wa
Abstract
Based on Statista reports as of April 7, 2020, there have been 52,624 deaths in Europe due to COVID-19 since the first recorded European death in France on February 15. We compared two models to assess the outbreak of coronavirus in the UK, Spain and Belgium, their healthcare expenditure and the number ...
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Based on Statista reports as of April 7, 2020, there have been 52,624 deaths in Europe due to COVID-19 since the first recorded European death in France on February 15. We compared two models to assess the outbreak of coronavirus in the UK, Spain and Belgium, their healthcare expenditure and the number of hospital beds as two indices of the healthcare system. Base and advance exponential smoothing models were used to forecast the total number of new cases and fatalities in the next 15 days for each of the evaluated countries, with an upper and lower banding. The models were fine-tuned with temporal granularity and an adjust seasonality set to seven days. Furthermore, the study assessed the healthcare capacity of these countries by looking at key metrics at a national level and tried to compare them in a relative term by drawing correlations between the total number of cases and fatalities. In addition, the current study compared the three countries according to the KNOWLEDGE, ATTITUDE and PRACTICE (KAP) system and found the associated similarities. Also, the gaps in KAP on WHO level was appraised. The KAP shortfalls at all levels of international, governmental, organizational and individual levels were recognized. The success of the implementation of any intervention in the prevention of coronavirus epidemics is highly dependent on KAP of people, organizations and governments. Finally, a multicomponent system at international level is proposed to tackle the future infectious pandemics.
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.
Digital Content Management
seyed mehdi mirmehdi; Faeze Kargar; Behnam Abbasi
Abstract
Purpose: The growth of Smartphone applications has helped businesses to transform their ways of doing business. At present, shopping applications have provided an appropriate opportunity for marketers. The present work aimed to assess factors influencing the intention to use shopping applications.Method: ...
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Purpose: The growth of Smartphone applications has helped businesses to transform their ways of doing business. At present, shopping applications have provided an appropriate opportunity for marketers. The present work aimed to assess factors influencing the intention to use shopping applications.Method: A structural model was formulated for analyzing and testing the existing factors among shopping application users. The statistical population of the research included the users of shopping applications in a public university in Iran. This study used a questionnaire survey. The questionnaire includes two sections. The first section of the questionnaire included general demographic details of target respondents whereas the second section consists of 30 items to measure the constructs of our conceptual model. All items of constructs were adopted from previous literature. A total of 288 questionnaires provided usable data. Findings: The results revealed that factors such as Convenience, Perceived Ease of Use, Trust, Perceived usefulness affect the intention to use shopping application while the factors of Perceived innovativeness, Perceived risk, Perceived enjoyment and Social influence are not influential.Conclusion: This research was conducted according to a comprehensive review of the research literature and identification of influential constructs with the approach of creating an integrated model of factors affecting the intention to use shopping applications. Based on the results of the research, focusing on the ease of use and creating the experience of perceived usefulness along with the use of tools that lead to the improvement of trust is critical for practitioners.
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.
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.
Payam Partovinia; Niloofar Abbaspoor
Abstract
Today, augmented reality has become one of the most critical technologies in the tourism industry. However, the intention to accept and use tourism augmented reality programs depends on various factors that can be analyzed using the integrated technology acceptance and use theory. On the other hand, ...
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Today, augmented reality has become one of the most critical technologies in the tourism industry. However, the intention to accept and use tourism augmented reality programs depends on various factors that can be analyzed using the integrated technology acceptance and use theory. On the other hand, each of these factors can influence the hedonic motivation of people to use these programs. This study aimed to examine how the Theory of Acceptance and Use of Technology and hedonic motivation affect the use of mobile augmented reality tourism apps in Iran. The statistical population of the current research consists of the users of tourism augmented reality programs. 201 users were selected as sample. The data collection tool was a questionnaire. Structural equation model was used to analyze the data. The research results showed that four factors (performance expectancy, effort expectancy, social influence, and facilitating conditions) positively and significantly affect the hedonic motivation to use tourism augmented reality apps. Furthermore, research findings have shown that all four factors of the Technology Acceptance Model positively impact the intention to use augmented reality applications on mobile phones. Also, the research has shown that hedonic motivation positively and significantly affects the intention to use tourism augmented reality apps on mobile phones. Finally, the research findings have shown that hedonic motivation plays a crucial role in mediating between the different dimensions of UTAUT and the intention to use augmented reality applications. However, the mediating role of hedonic motivation was not supported for PE and BI.
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.
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.
Reyhaneh Toudeh Bahambari; Hossein Hakimpour; Mahdi Mahmoodzadeh Vashan; Hamid Rezaeifar
Abstract
The study of the factors affecting consumer buying behavior in online environments is taking on a more detailed form every day. For this purpose, the present study was conducted with the aim of prioritizing the factors affecting consumer buying behavior in online social media marketing. The analysis ...
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The study of the factors affecting consumer buying behavior in online environments is taking on a more detailed form every day. For this purpose, the present study was conducted with the aim of prioritizing the factors affecting consumer buying behavior in online social media marketing. The analysis and validation of indicators were done using the combined method of structural equation modeling and partial least squares. In addition, in order to determine the importance and type of performance of each factor, the IPMA matrix was used. The research data was influenced by consumer information, which mostly included women with a master's degree and in the age range of 36 to 50 years, using the available non-probability sampling method that is common for online surveys, and using Cohen's effect size formula, 466 people were examined. The findings of the research showed that the factor of consumer engagement has the highest degree of importance and ease of use has the highest level of performance in the general model of social media. In addition, the factor of consumer engagement has the highest degree of importance, and electronic word-of-mouth (EWOM) has the highest level of performance in Instagram, and vice versa, EWOM is the most important, and consumer engagement has the highest degree of performance in Telegram. These results can be used by marketers to influence consumer buying behavior and in online marketing plans in their desired direction.
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.
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
Ehsan Mohammadi Bajgiran; Ali HosseinZadeh; Vahid Sanavi Garosian
Abstract
The main goal of the current research was to present the pattern of forced purchase by consumers with internet advertisements of digital content in the television shopping industry of the country. The research method of this research was integrated (qualitative-quantitative) and practical in terms of ...
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The main goal of the current research was to present the pattern of forced purchase by consumers with internet advertisements of digital content in the television shopping industry of the country. The research method of this research was integrated (qualitative-quantitative) and practical in terms of purpose. The research community included marketing experts who were selected based on the purposeful sampling method of 10 people. The research tool was interview and data base theory was used for data analysis with MaxQDA software. The statistical population in the quantitative section also included television buyers in Mashhad, and 384 questionnaires were selected based on Morgan's table and based on random sampling. The research tool was a researcher-made questionnaire and the structural equation method with SmartPLS software was used for data analysis. The validity of the questionnaire was confirmed using face and content validity, divergent and convergent validity, and its reliability was confirmed using Cronbach's alpha, composite and homogenous reliability. The findings showed that the compulsive buying pattern of consumers in the television shopping industry has causal conditions (mixed design of digital marketing appropriate for television sales; digital marketing capabilities; individual demographic characteristics; lifestyle; family); (quick and thoughtless buying and irrational and emotional buying) as a central phenomenon;
Soleman MD Pharcy
Abstract
Purpose: The purpose of this study is to research factors associated with knowledge distribution that managers can leverage to ensure a strong innovation management process and successfully deliver technological innovations to the intended consumer.Method: These approaches have strengths and weaknesses ...
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Purpose: The purpose of this study is to research factors associated with knowledge distribution that managers can leverage to ensure a strong innovation management process and successfully deliver technological innovations to the intended consumer.Method: These approaches have strengths and weaknesses of their own about technological advances, user's reception, adaptability, and success rate within the real intelligence of generating knowledge.Findings: The learning of data access distribution- how an individual/ the organization obtains access to any individual's own and other knowledge has emerged as a key research area from a broad and deep field of study on technology transfer and innovation, and more recently from the sector of strategic management. Increasingly, knowledge access sharing research has moved to an organizational learning perspective. Indeed, experience and research suggest that successful knowledge access sharing involves extended learning processes and not simply communication processes, as ideas associated with development and innovation need.Conclusion: This study provides basic concepts of data access distribution and its means of realization.
Ayoob Nazi; Rahman Sharifzadeh; Gholamreza Heidari
Abstract
The aim of this study is to review and redefine the interaction process with information based on a holistic approach. The data required for this qualitative study were collected through semi-structured interviews among 18 individuals and analyzed using thematic analysis. The network of themes making ...
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The aim of this study is to review and redefine the interaction process with information based on a holistic approach. The data required for this qualitative study were collected through semi-structured interviews among 18 individuals and analyzed using thematic analysis. The network of themes making up the information interactions consists of 5 global themes which have been extracted among 23 organizing ones. These themes include the beginning, orientation, networking, and consolidation, which can be interpreted in terms of the symmetry theme as a kind of looking at humans and non-humans in a three-layered context including the internal, external, and technology-tools contexts. The new view of interaction with information has taken it beyond the interpretation scope from the human user’s perspective and observes it alongside non-human factors. As a result of such an approach, the non-human factors in the role of infrastructure and technology-tool context, meet specific and interpretable effects along with human ones, external and internal contexts.
