Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method

Providing valuable information in the form of attractive content and interaction with customers is one of the most important elements of content marketing. The most important factor in the success of content marketing is answering to the question of what causes the audience to engage in content. Des...

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Main Authors: Mohammad Saleh Torkestani, Zohreh Dehdashti Shahrokh, Iman Raeesi Vanan, Fatemeh Golshan
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2022-06-01
Series:مطالعات مدیریت کسب و کار هوشمند
Subjects:
Online Access:https://ims.atu.ac.ir/article_14474_f25e81d2e1eb615a3c7b59278d001ea6.pdf
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author Mohammad Saleh Torkestani
Zohreh Dehdashti Shahrokh
Iman Raeesi Vanan
Fatemeh Golshan
author_facet Mohammad Saleh Torkestani
Zohreh Dehdashti Shahrokh
Iman Raeesi Vanan
Fatemeh Golshan
author_sort Mohammad Saleh Torkestani
collection DOAJ
description Providing valuable information in the form of attractive content and interaction with customers is one of the most important elements of content marketing. The most important factor in the success of content marketing is answering to the question of what causes the audience to engage in content. Despite numerous researches in the field of identifying the dimensions of engagement and motivators of audiences to engage with content, the audience engagement is still one of the most important concerns of actors in the field of content marketing and they are looking for effective ways to identify factors affecting the promotion of audiences' engagement. The present study, using Meta - synthesis method based on the Sandelowski and Barros (2007) model, identifies influential indicators of content marketing on promoting the audience engagement. For this purpose, studies according to years 2003 – 2019 were collected and the papers that did not obtain the intended criteria were excluded from the study. Finally, the findings of 45 papers were selected. By classification of identified codes, 23 categories were identified in 4 dimensions including engagement, categories related to content features, categories related to content writer and other user's reactions. Among all identified categories, the possibility of content personalization for each audience, the sentiment embedded in content and the history of content, the membership level of writer and his/her identity in the online community made the highest priority.
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spelling doaj.art-b46dd0fbc8bd40bfb89a4f25be53448d2023-12-19T10:34:46ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162022-06-01104016720010.22054/ims.2022.63158.204114474Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis MethodMohammad Saleh Torkestani0Zohreh Dehdashti Shahrokh1Iman Raeesi Vanan2Fatemeh Golshan3Associate Professor, ATU, Tehran, IranMarketing, Management and accounting, Allameh Tabataba'i universityATUFaculty of management and accounting, Allameh TabatabaiProviding valuable information in the form of attractive content and interaction with customers is one of the most important elements of content marketing. The most important factor in the success of content marketing is answering to the question of what causes the audience to engage in content. Despite numerous researches in the field of identifying the dimensions of engagement and motivators of audiences to engage with content, the audience engagement is still one of the most important concerns of actors in the field of content marketing and they are looking for effective ways to identify factors affecting the promotion of audiences' engagement. The present study, using Meta - synthesis method based on the Sandelowski and Barros (2007) model, identifies influential indicators of content marketing on promoting the audience engagement. For this purpose, studies according to years 2003 – 2019 were collected and the papers that did not obtain the intended criteria were excluded from the study. Finally, the findings of 45 papers were selected. By classification of identified codes, 23 categories were identified in 4 dimensions including engagement, categories related to content features, categories related to content writer and other user's reactions. Among all identified categories, the possibility of content personalization for each audience, the sentiment embedded in content and the history of content, the membership level of writer and his/her identity in the online community made the highest priority.https://ims.atu.ac.ir/article_14474_f25e81d2e1eb615a3c7b59278d001ea6.pdfcontentcontent marketingengagementdigital engagementmeta-synthesis
spellingShingle Mohammad Saleh Torkestani
Zohreh Dehdashti Shahrokh
Iman Raeesi Vanan
Fatemeh Golshan
Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
مطالعات مدیریت کسب و کار هوشمند
content
content marketing
engagement
digital engagement
meta-synthesis
title Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
title_full Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
title_fullStr Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
title_full_unstemmed Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
title_short Identifying Indicators of Digital Content Management for Increasing the Engagement of users in digital space, Using Meta-Synthesis Method
title_sort identifying indicators of digital content management for increasing the engagement of users in digital space using meta synthesis method
topic content
content marketing
engagement
digital engagement
meta-synthesis
url https://ims.atu.ac.ir/article_14474_f25e81d2e1eb615a3c7b59278d001ea6.pdf
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