Pub Date : 2023-10-11DOI: 10.1177/02666669231206769
Amy Pascalia Abra Asimah, Thomas B. van der Walt
This article reflects on a study done on the state of customer care in five selected academic libraries in Ghana. The study examined the prevailing customer care programmes – the policies, structures, practices, and the effects of customer care on the use of library products and services. Based on a pragmatic assumption, the researchers adopted a mixed-method research approach and a survey design with a sample of 3153 respondents which comprised three strata: students, faculty and library staff from the five selected academic libraries in Ghana. Data was largely collected with questionnaires and interviews were used to gather information from university librarians/heads of customer service. A document review instrument was used to confirm information provided by the respondents. The findings revealed that all five academic libraries had some form of customer care programmes. The article also established that customer care programmes contributed greatly to the improvement of skills, knowledge, experiences, and service performance of the academic library staff, which influenced the patronage of library products and services. However, the researchers identified inadequate financial resources, lack of written customer care policies, shortfalls in the customer care practices and training programmes as some of the challenges facing the implementation of customer care initiatives in academic libraries in Ghana. The article recommends developing written customer service policies and programmes specific to the provision of excellent customer services in academic libraries, adequate funding for regular customer service training of library staff and effective application of modern technology to enhance customer care in academic libraries.
{"title":"Customer care in selected academic libraries in Ghana","authors":"Amy Pascalia Abra Asimah, Thomas B. van der Walt","doi":"10.1177/02666669231206769","DOIUrl":"https://doi.org/10.1177/02666669231206769","url":null,"abstract":"This article reflects on a study done on the state of customer care in five selected academic libraries in Ghana. The study examined the prevailing customer care programmes – the policies, structures, practices, and the effects of customer care on the use of library products and services. Based on a pragmatic assumption, the researchers adopted a mixed-method research approach and a survey design with a sample of 3153 respondents which comprised three strata: students, faculty and library staff from the five selected academic libraries in Ghana. Data was largely collected with questionnaires and interviews were used to gather information from university librarians/heads of customer service. A document review instrument was used to confirm information provided by the respondents. The findings revealed that all five academic libraries had some form of customer care programmes. The article also established that customer care programmes contributed greatly to the improvement of skills, knowledge, experiences, and service performance of the academic library staff, which influenced the patronage of library products and services. However, the researchers identified inadequate financial resources, lack of written customer care policies, shortfalls in the customer care practices and training programmes as some of the challenges facing the implementation of customer care initiatives in academic libraries in Ghana. The article recommends developing written customer service policies and programmes specific to the provision of excellent customer services in academic libraries, adequate funding for regular customer service training of library staff and effective application of modern technology to enhance customer care in academic libraries.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-10DOI: 10.1177/02666669231206760
Alex I Nyagango, Alfred S Sife, Isaac Kazungu
The increased use of mobile phone technology is advocated to assist smallholder farmers in accessing relevant and accurate agricultural marketing information. Unfortunately, the use of mobile phones among smallholder farmers is still evolving, challenging, and debatable among scholars. This study examined factors constraining the use of mobile phones in accessing agricultural marketing information. A descriptive cross-sectional research design was adopted with a sample size of 400 grape smallholder farmers. A structured questionnaire, focus group discussions, and key informant interviews were used to gather data. Descriptive, ordinal logistic regression, and thematic approaches were used in data analysis. The study found that mobile phones were used for cross-checking prices and finding buyers. The study revealed that mobile phone use for accessing agricultural marketing information was constrained by illiteracy, inadequate skills and training, and high costs. Based on the findings, it is concluded that the factors were negatively impacting the effective use of mobile phones in accessing agricultural marketing information. It is recommended that concentrated efforts are required to increase training to stimulate the effective use of mobile phones for accessing agricultural marketing information.
{"title":"Factors constraining the use of mobile phone technologies for accessing agricultural marketing information by grape smallholder farmers in Tanzania","authors":"Alex I Nyagango, Alfred S Sife, Isaac Kazungu","doi":"10.1177/02666669231206760","DOIUrl":"https://doi.org/10.1177/02666669231206760","url":null,"abstract":"The increased use of mobile phone technology is advocated to assist smallholder farmers in accessing relevant and accurate agricultural marketing information. Unfortunately, the use of mobile phones among smallholder farmers is still evolving, challenging, and debatable among scholars. This study examined factors constraining the use of mobile phones in accessing agricultural marketing information. A descriptive cross-sectional research design was adopted with a sample size of 400 grape smallholder farmers. A structured questionnaire, focus group discussions, and key informant interviews were used to gather data. Descriptive, ordinal logistic regression, and thematic approaches were used in data analysis. The study found that mobile phones were used for cross-checking prices and finding buyers. The study revealed that mobile phone use for accessing agricultural marketing information was constrained by illiteracy, inadequate skills and training, and high costs. Based on the findings, it is concluded that the factors were negatively impacting the effective use of mobile phones in accessing agricultural marketing information. It is recommended that concentrated efforts are required to increase training to stimulate the effective use of mobile phones for accessing agricultural marketing information.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136358505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1177/02666669231204954
İbrahim Sani Mert, Cem Şen, A Mohammed Abubakar
Social media has become omnipresent in our personal and work lives; it is addictive and distracting. Its distractive nature can have adverse effects on an individual's behavior. To provide more insight into how technology influences various aspects of our social lives, this article draws on Social Exchange and Cognitive Theories as well as the Transactional Theory of Stress to investigate the potential impact of social media usage on technostress and cyber incivility, and the mediating role of technostress. The study adopted Partial Least Squares Structural Equation Modeling (PLS-SEM) on survey data obtained from (n = 324) lawyers. Results revealed that social media usage is a strong predictor for both technostress and cyber incivility of others (observed by the lawyers). Technostress also emerges as a key predictor for cyber incivility, and technostress mediates the link between social media usage and cyber incivility. The take home message for managers in the legal sector is the necessity of promoting awareness of excessive and uncontrolled usage of social media, as greater level of awareness will help to desensitize lawyers’ susceptibility to technostress and perception of cyber incivility of others. Implications for theory and practice alongside limitations are discussed.
{"title":"Impact of social Media usage on technostress and cyber incivility","authors":"İbrahim Sani Mert, Cem Şen, A Mohammed Abubakar","doi":"10.1177/02666669231204954","DOIUrl":"https://doi.org/10.1177/02666669231204954","url":null,"abstract":"Social media has become omnipresent in our personal and work lives; it is addictive and distracting. Its distractive nature can have adverse effects on an individual's behavior. To provide more insight into how technology influences various aspects of our social lives, this article draws on Social Exchange and Cognitive Theories as well as the Transactional Theory of Stress to investigate the potential impact of social media usage on technostress and cyber incivility, and the mediating role of technostress. The study adopted Partial Least Squares Structural Equation Modeling (PLS-SEM) on survey data obtained from (n = 324) lawyers. Results revealed that social media usage is a strong predictor for both technostress and cyber incivility of others (observed by the lawyers). Technostress also emerges as a key predictor for cyber incivility, and technostress mediates the link between social media usage and cyber incivility. The take home message for managers in the legal sector is the necessity of promoting awareness of excessive and uncontrolled usage of social media, as greater level of awareness will help to desensitize lawyers’ susceptibility to technostress and perception of cyber incivility of others. Implications for theory and practice alongside limitations are discussed.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135738634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1177/02666669231205525
Changweon Kwak, Cheolho Yoon, José Martí-Parreño
In order to enhance the competitiveness of the manufacturing industry in the face of the great turning point of the 4th Industrial Revolution, governments around the world are making great efforts to spread smart factories to small and medium enterprises (SMEs). The purpose of this study was to explore the factors that influence SME executives’ intentions to adopt a smart factory. To this end, a research model was developed based on the technology acceptance model (TAM), the technology-organization-environment (TOE) framework, and resource dependence theory (RDT). Data from 175 valid questionnaires were collected from SME executives in Korea and analyzed using structural equation modeling. The results of the analysis indicated that perceived usefulness did not influence SME executives’ intentions to adopt a smart factory. However, the perceived importance extracted from the RDT had a strong impact on SME executives’ intention to adopt a smart factory. As a result of the study, we identified practical implications for SMEs’ adoption of smart factories.
{"title":"Factors affecting SME executives’ intentions to adopt smart factories: The case of Korea","authors":"Changweon Kwak, Cheolho Yoon, José Martí-Parreño","doi":"10.1177/02666669231205525","DOIUrl":"https://doi.org/10.1177/02666669231205525","url":null,"abstract":"In order to enhance the competitiveness of the manufacturing industry in the face of the great turning point of the 4th Industrial Revolution, governments around the world are making great efforts to spread smart factories to small and medium enterprises (SMEs). The purpose of this study was to explore the factors that influence SME executives’ intentions to adopt a smart factory. To this end, a research model was developed based on the technology acceptance model (TAM), the technology-organization-environment (TOE) framework, and resource dependence theory (RDT). Data from 175 valid questionnaires were collected from SME executives in Korea and analyzed using structural equation modeling. The results of the analysis indicated that perceived usefulness did not influence SME executives’ intentions to adopt a smart factory. However, the perceived importance extracted from the RDT had a strong impact on SME executives’ intention to adopt a smart factory. As a result of the study, we identified practical implications for SMEs’ adoption of smart factories.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135693994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.1177/02666669231202764
Hyeon Jo
The increasing ubiquity of Artificial Intelligence (AI) chatbots across a variety of sectors has sparked a burgeoning interest in deciphering the determinants that govern their adoption and usage. This study aims to examine the pivotal factors that influence the practical usage of the AI chatbot, ChatGPT, among a sample of university students. Leveraging the theoretical framework of planned behavior, the research model scrutinizes the interplay between knowledge application, perceived intelligence, usability, attitude, subjective norms, perceived behavioral control, trust, behavioral intention, and actual usage. Data procured from a survey of university students were examined through the lens of structural equation modeling. The outcomes reveal that knowledge application, perceived intelligence, and usability have a positive impact on attitudes towards ChatGPT. Perceived intelligence also influences knowledge application, usability, and trust. Concurrently, attitude and subjective norms notably affect behavioral intention. Contrary to expectations, perceived behavioral control did not significantly influence behavioral intention. Trust emerged as a crucial factor steering behavioral intention, which in turn, positively correlates with the actual usage of ChatGPT. These insights enrich the academic discourse on AI chatbot adoption and provide practical implications for AI developers, educators, and policy makers, striving to enhance user engagement with AI systems in educational contexts.
{"title":"Decoding the ChatGPT mystery: A comprehensive exploration of factors driving AI language model adoption","authors":"Hyeon Jo","doi":"10.1177/02666669231202764","DOIUrl":"https://doi.org/10.1177/02666669231202764","url":null,"abstract":"The increasing ubiquity of Artificial Intelligence (AI) chatbots across a variety of sectors has sparked a burgeoning interest in deciphering the determinants that govern their adoption and usage. This study aims to examine the pivotal factors that influence the practical usage of the AI chatbot, ChatGPT, among a sample of university students. Leveraging the theoretical framework of planned behavior, the research model scrutinizes the interplay between knowledge application, perceived intelligence, usability, attitude, subjective norms, perceived behavioral control, trust, behavioral intention, and actual usage. Data procured from a survey of university students were examined through the lens of structural equation modeling. The outcomes reveal that knowledge application, perceived intelligence, and usability have a positive impact on attitudes towards ChatGPT. Perceived intelligence also influences knowledge application, usability, and trust. Concurrently, attitude and subjective norms notably affect behavioral intention. Contrary to expectations, perceived behavioral control did not significantly influence behavioral intention. Trust emerged as a crucial factor steering behavioral intention, which in turn, positively correlates with the actual usage of ChatGPT. These insights enrich the academic discourse on AI chatbot adoption and provide practical implications for AI developers, educators, and policy makers, striving to enhance user engagement with AI systems in educational contexts.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135537315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-21DOI: 10.1177/02666669231201828
Wanglin Ma, Enoch Owusu-Sekyere, Hongyun Zheng, Victor Owusu
The increasing usage of smartphones by practitioners in various fields of expertise is attracting global attention. However, scanty evidence exists on smartphone usage among rural farmers in developing countries. Using data collected from 1286 rural farming households in five provinces in China, this study investigates the factors influencing rural farmers’ decisions to use smartphones. The findings from a Probit model reveal that education, health condition, asset ownership, income levels, peers’ smartphone usage, internet access, cooperative membership, access to credit, and off-farm work participation are the main factors driving smartphone usage of rural farmers. The age of the farmer rather affects smartphone usage negatively and significantly. Further heterogeneous analysis shows that the influences of factors on smartphone usage vary across the survey provinces.
{"title":"Factors influencing smartphone usage of rural farmers: Empirical analysis of five selected provinces in China","authors":"Wanglin Ma, Enoch Owusu-Sekyere, Hongyun Zheng, Victor Owusu","doi":"10.1177/02666669231201828","DOIUrl":"https://doi.org/10.1177/02666669231201828","url":null,"abstract":"The increasing usage of smartphones by practitioners in various fields of expertise is attracting global attention. However, scanty evidence exists on smartphone usage among rural farmers in developing countries. Using data collected from 1286 rural farming households in five provinces in China, this study investigates the factors influencing rural farmers’ decisions to use smartphones. The findings from a Probit model reveal that education, health condition, asset ownership, income levels, peers’ smartphone usage, internet access, cooperative membership, access to credit, and off-farm work participation are the main factors driving smartphone usage of rural farmers. The age of the farmer rather affects smartphone usage negatively and significantly. Further heterogeneous analysis shows that the influences of factors on smartphone usage vary across the survey provinces.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136236693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1177/02666669231200628
Nishith Reddy Mannuru, Sakib Shahriar, Zoë A Teel, Ting Wang, Brady D Lund, Solomon Tijani, Chalermchai Oak Pohboon, Daniel Agbaji, Joy Alhassan, JaKLyn Galley, Raana Kousari, Lydia Ogbadu-Oladapo, Shubham Kumar Saurav, Aishwarya Srivastava, Sai Priya Tummuru, Sravya Uppala, Praveenkumar Vaidya
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative Artificial Intelligence refers to artificial intelligence (AI) systems that generate content, such as text, audio, or video, aiming to produce novel and creative outputs based on training data. Compared to conversational artificial intelligence, generative artificial intelligence systems have the unique capability of not only providing replies but also generating the content of those responses. Recent advancements in Artificial Intelligence during the Fourth Industrial Revolution, exemplified by tools like ChatGPT, have gained popularity and reshaped content production and creation. However, the benefits of generative artificial intelligence are not equally accessible to all, especially in developing countries, where limited access to cutting-edge technologies and inadequate infrastructure pose challenges. This paper seeks to understand the potential impact of generative AI technologies on developing countries, considering economic growth, access to technology, and the potential paradigm shift in education, healthcare, and the environment. The findings emphasize the importance of providing the necessary support and infrastructure to ensure that generative AI contributes to inclusive development rather than deepening existing inequalities. The study highlights the significance of integrating Generative AI into the context of the Fourth Industrial Revolution in developing countries, where technological change is a crucial determinant of progress and equitable growth.
{"title":"Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development","authors":"Nishith Reddy Mannuru, Sakib Shahriar, Zoë A Teel, Ting Wang, Brady D Lund, Solomon Tijani, Chalermchai Oak Pohboon, Daniel Agbaji, Joy Alhassan, JaKLyn Galley, Raana Kousari, Lydia Ogbadu-Oladapo, Shubham Kumar Saurav, Aishwarya Srivastava, Sai Priya Tummuru, Sravya Uppala, Praveenkumar Vaidya","doi":"10.1177/02666669231200628","DOIUrl":"https://doi.org/10.1177/02666669231200628","url":null,"abstract":"This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative Artificial Intelligence refers to artificial intelligence (AI) systems that generate content, such as text, audio, or video, aiming to produce novel and creative outputs based on training data. Compared to conversational artificial intelligence, generative artificial intelligence systems have the unique capability of not only providing replies but also generating the content of those responses. Recent advancements in Artificial Intelligence during the Fourth Industrial Revolution, exemplified by tools like ChatGPT, have gained popularity and reshaped content production and creation. However, the benefits of generative artificial intelligence are not equally accessible to all, especially in developing countries, where limited access to cutting-edge technologies and inadequate infrastructure pose challenges. This paper seeks to understand the potential impact of generative AI technologies on developing countries, considering economic growth, access to technology, and the potential paradigm shift in education, healthcare, and the environment. The findings emphasize the importance of providing the necessary support and infrastructure to ensure that generative AI contributes to inclusive development rather than deepening existing inequalities. The study highlights the significance of integrating Generative AI into the context of the Fourth Industrial Revolution in developing countries, where technological change is a crucial determinant of progress and equitable growth.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135487145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1177/02666669231200458
Zaheer Ahmad, Saira Hanif Soroya, Khalid Mahmood
This study aimed to identify social capital's role in shaping an individual's behavior to share information on social media. The study also investigated the mediation role of information sharing intention (ISI) between the relationship of social capital and information sharing behavior (ISB). Based on the social capital theory (SCT), and theory of planned behavior (TPB), a comprehensive research model was created, and corresponding hypotheses were developed. The study population included all Pakistani Facebook (FB) users, who actively use Facebook for various reasons. Structural equation modelling (SEM) with Smart PLS was used to analyze the data, test hypotheses, and research model. The findings showed that both bonding social capital (BOS) and bridging social capital (BRS) increased the amount of information shared on social media. It is established that BOS supports weakly tied people to strengthen their relationships on social media. The study also reveals that social capital (BOS and BRS) has a direct and positive effect on information-sharing behavior. The results of the indirect effects indicate that ISI is the significant mediator in the relationship between social capital and ISB. The study's findings are helpful for a wide variety of Facebook users for the purposeful and result-oriented information sharing on SNSs. The study also provided a deeper understating of the social capital features, sharing intention, and how these together exert a more significant impact on information sharing behavior on social media. Additionally, the findings will also facilitate SNS developers in improving SNS services while keeping in view the unique features of social capital.
{"title":"Bonding and bridging social capital as predictors of information sharing intention and behavior among Pakistani Facebook users","authors":"Zaheer Ahmad, Saira Hanif Soroya, Khalid Mahmood","doi":"10.1177/02666669231200458","DOIUrl":"https://doi.org/10.1177/02666669231200458","url":null,"abstract":"This study aimed to identify social capital's role in shaping an individual's behavior to share information on social media. The study also investigated the mediation role of information sharing intention (ISI) between the relationship of social capital and information sharing behavior (ISB). Based on the social capital theory (SCT), and theory of planned behavior (TPB), a comprehensive research model was created, and corresponding hypotheses were developed. The study population included all Pakistani Facebook (FB) users, who actively use Facebook for various reasons. Structural equation modelling (SEM) with Smart PLS was used to analyze the data, test hypotheses, and research model. The findings showed that both bonding social capital (BOS) and bridging social capital (BRS) increased the amount of information shared on social media. It is established that BOS supports weakly tied people to strengthen their relationships on social media. The study also reveals that social capital (BOS and BRS) has a direct and positive effect on information-sharing behavior. The results of the indirect effects indicate that ISI is the significant mediator in the relationship between social capital and ISB. The study's findings are helpful for a wide variety of Facebook users for the purposeful and result-oriented information sharing on SNSs. The study also provided a deeper understating of the social capital features, sharing intention, and how these together exert a more significant impact on information sharing behavior on social media. Additionally, the findings will also facilitate SNS developers in improving SNS services while keeping in view the unique features of social capital.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135552739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1177/02666669231200455
Konstantin Sokolovskiy, Victoria Zueva, Olga Kolosova
The relevance of this study stems from the gradual development of the global information space, which promotes an effective harmonization of digital markets of countries participating in international relations. An interesting area of study involves examining the development processes of the Internet and social networks, particularly in the context of their use in public administration, as demonstrated by Russia and China, where this area has become a priority in recent years. This study aims to develop a conceptual framework of factors influencing the adoption of social media in the public sector. In addition, this paper attempts to examine the prospects for further organization of this process. The method used was comparative analysis, which affected the systems of countries with different political regimes with variable information policies. Also, the paper disclosed the appropriateness of taking precautions against the activity of internet users, based on Russian and Chinese regulation policies. We obtained results suggesting that social media helps public authorities engage in discussions and broaden the boundaries of the public sphere, engaging people in new formats of digital communications. The data obtained will be of practical value for the representatives of public authorities, educational organizations, and socio-cultural institutions.
{"title":"Digital tools for public policy reflection: Features of monitoring Internet communities in Russia and China","authors":"Konstantin Sokolovskiy, Victoria Zueva, Olga Kolosova","doi":"10.1177/02666669231200455","DOIUrl":"https://doi.org/10.1177/02666669231200455","url":null,"abstract":"The relevance of this study stems from the gradual development of the global information space, which promotes an effective harmonization of digital markets of countries participating in international relations. An interesting area of study involves examining the development processes of the Internet and social networks, particularly in the context of their use in public administration, as demonstrated by Russia and China, where this area has become a priority in recent years. This study aims to develop a conceptual framework of factors influencing the adoption of social media in the public sector. In addition, this paper attempts to examine the prospects for further organization of this process. The method used was comparative analysis, which affected the systems of countries with different political regimes with variable information policies. Also, the paper disclosed the appropriateness of taking precautions against the activity of internet users, based on Russian and Chinese regulation policies. We obtained results suggesting that social media helps public authorities engage in discussions and broaden the boundaries of the public sphere, engaging people in new formats of digital communications. The data obtained will be of practical value for the representatives of public authorities, educational organizations, and socio-cultural institutions.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136024543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.1177/02666669231197243
Juan D. Machin-Mastromatteo
Concerns about the need for researchers to make an impact on society, by conducting community activities and providing solutions to social problems are not new. However, such values are increasingly gaining attention, and stakeholders are now more vocal than ever about such a need. This general topic is what motivated the development of this special issue on communitydriven and social initiatives. However, speaking of the social impact of research might be problematic. As Smit and Hessels (2021) put it, impact implies the evaluation of the resulting presence of intended changes and hence they prefer using the term social value, which may be more open to also consider intangible results, such as helping to deepen our understanding of a given social phenomenon. Indeed, this could be the most reasonable way to look at this, because not every worthwhile contribution will have tangible outcomes that can be precisely measured, particularly not in short periods of time, which is the main issue involved in trying to measure the social impact of research. I also believe that most researchers, despite their best efforts in proposing solutions to social problems, may find it especially difficult to make a lasting contribution to society through their research, particularly if there are no appropriate mechanisms and resources for implementing and replicating their experiences, or to influence policy-makers and society at large to adopt their solutions. The latter is related to a difficult link to establish or even to restore, as the image of science and researchers in the public opinion is not in a particularly good standing nowadays. Hence, social stakeholders’ willingness to reach out to scientists for solving problems or their eagerness to receive and implement researchers’ solutions might be one of the most delicate issues we are facing. One thing would be attempting to solve a problem through research, another could be to find and provide a solution for a given case under a certain context, and yet another would be for others accept the application of a given solution. It would not be out of the realm of possibility, nor it would necessarily mean subscribing to conspiracy theories, that some social problems have not been solved, not because their solution is complex or because such solution has not been proposed before, but because there may be political and/or corporate interests that do not want these problems solved and they might be actively opposing or blocking their solution. In these cases, one might ask: why should researchers work on solutions that have already been found, or on those that others will not allow to apply? Are researchers being distracted under (apparently) good intentions while they are prevented from thinking about and working on problems emerging from their own research? Some social problems highlighted by stakeholders outside of the academia could fit into the following categories, which are not necessarily mutually exclusive
{"title":"Community-driven and social initiatives","authors":"Juan D. Machin-Mastromatteo","doi":"10.1177/02666669231197243","DOIUrl":"https://doi.org/10.1177/02666669231197243","url":null,"abstract":"Concerns about the need for researchers to make an impact on society, by conducting community activities and providing solutions to social problems are not new. However, such values are increasingly gaining attention, and stakeholders are now more vocal than ever about such a need. This general topic is what motivated the development of this special issue on communitydriven and social initiatives. However, speaking of the social impact of research might be problematic. As Smit and Hessels (2021) put it, impact implies the evaluation of the resulting presence of intended changes and hence they prefer using the term social value, which may be more open to also consider intangible results, such as helping to deepen our understanding of a given social phenomenon. Indeed, this could be the most reasonable way to look at this, because not every worthwhile contribution will have tangible outcomes that can be precisely measured, particularly not in short periods of time, which is the main issue involved in trying to measure the social impact of research. I also believe that most researchers, despite their best efforts in proposing solutions to social problems, may find it especially difficult to make a lasting contribution to society through their research, particularly if there are no appropriate mechanisms and resources for implementing and replicating their experiences, or to influence policy-makers and society at large to adopt their solutions. The latter is related to a difficult link to establish or even to restore, as the image of science and researchers in the public opinion is not in a particularly good standing nowadays. Hence, social stakeholders’ willingness to reach out to scientists for solving problems or their eagerness to receive and implement researchers’ solutions might be one of the most delicate issues we are facing. One thing would be attempting to solve a problem through research, another could be to find and provide a solution for a given case under a certain context, and yet another would be for others accept the application of a given solution. It would not be out of the realm of possibility, nor it would necessarily mean subscribing to conspiracy theories, that some social problems have not been solved, not because their solution is complex or because such solution has not been proposed before, but because there may be political and/or corporate interests that do not want these problems solved and they might be actively opposing or blocking their solution. In these cases, one might ask: why should researchers work on solutions that have already been found, or on those that others will not allow to apply? Are researchers being distracted under (apparently) good intentions while they are prevented from thinking about and working on problems emerging from their own research? Some social problems highlighted by stakeholders outside of the academia could fit into the following categories, which are not necessarily mutually exclusive","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"39 1","pages":"393 - 401"},"PeriodicalIF":1.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45229290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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