Pub Date : 2023-10-24DOI: 10.1108/gkmc-07-2023-0237
Devkant Kala, Dhani Shanker Chaubey, Ahmad Samed Al-Adwan
Purpose This study aims to investigate how fear of missing out (FOMO) mediates the relationship between cryptocurrency adoption intention and investment behavior among young Indians, using the extended unified theory of acceptance and use of technology. Design/methodology/approach The data were collected by using survey items on cryptocurrency adoption intention, investment behavior and FOMO derived from existing literature on information systems and cryptocurrencies. A total of 384 Indian participants completed an online questionnaire. The collected data was analyzed using PLS-SEM. Findings The findings indicate that facilitating conditions, social influence, effort expectancy and price value play important roles in cryptocurrency adoption. All hypothesized paths were significant, except for perceived risk. Furthermore, the study highlights that FOMO acts as a mediator between adoption intention and investment behavior. Originality/value This study makes a valuable addition to the literature by empirically exploring the influence of FOMO on the adoption of cryptocurrencies for investment purposes. The results provide valuable insights to crypto developers and exchanges regarding the diffusion of adoption in emerging markets. In addition, policymakers can gain meaningful insights into the influence of government regulations and FOMO on impulsive cryptocurrency behavior.
本研究旨在利用技术接受和使用的扩展统一理论，探讨印度年轻人对加密货币采用意愿与投资行为之间的关系，探讨“错失恐惧”(fear of missing out，简称FOMO)是如何中介的。设计/方法/方法通过使用来自现有信息系统和加密货币文献的关于加密货币采用意图、投资行为和FOMO的调查项目来收集数据。共有384名印度参与者完成了一份在线问卷。采集数据用PLS-SEM进行分析。研究结果表明，便利条件、社会影响、努力预期和价格价值在加密货币的采用中发挥着重要作用。除了感知风险外，所有假设的路径都是显著的。此外，研究还强调FOMO在采用意愿和投资行为之间起中介作用。独创性/价值本研究通过实证探索FOMO对采用加密货币进行投资的影响，为文献提供了有价值的补充。研究结果为加密开发者和交易所提供了有关新兴市场采用扩散的宝贵见解。此外，政策制定者可以获得有意义的见解，了解政府法规和FOMO对冲动加密货币行为的影响。
{"title":"Cryptocurrency investment behaviour of young Indians: mediating role of fear of missing out","authors":"Devkant Kala, Dhani Shanker Chaubey, Ahmad Samed Al-Adwan","doi":"10.1108/gkmc-07-2023-0237","DOIUrl":"https://doi.org/10.1108/gkmc-07-2023-0237","url":null,"abstract":"Purpose This study aims to investigate how fear of missing out (FOMO) mediates the relationship between cryptocurrency adoption intention and investment behavior among young Indians, using the extended unified theory of acceptance and use of technology. Design/methodology/approach The data were collected by using survey items on cryptocurrency adoption intention, investment behavior and FOMO derived from existing literature on information systems and cryptocurrencies. A total of 384 Indian participants completed an online questionnaire. The collected data was analyzed using PLS-SEM. Findings The findings indicate that facilitating conditions, social influence, effort expectancy and price value play important roles in cryptocurrency adoption. All hypothesized paths were significant, except for perceived risk. Furthermore, the study highlights that FOMO acts as a mediator between adoption intention and investment behavior. Originality/value This study makes a valuable addition to the literature by empirically exploring the influence of FOMO on the adoption of cryptocurrencies for investment purposes. The results provide valuable insights to crypto developers and exchanges regarding the diffusion of adoption in emerging markets. In addition, policymakers can gain meaningful insights into the influence of government regulations and FOMO on impulsive cryptocurrency behavior.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135220093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This study aims to conduct a bibliometric analysis of knowledge sharing during COVID-19 and highlight prominent contributors, diverse trends and themes followed with provisions of future research avenues. Design/methodology/approach The study through scientific procedures and rationales for systematic literature reviews framework analyses 148 peer-reviewed journal publications and conference proceedings indexed in Scopus and WoS databases from 2020 to 2022. It uses general statistics and diverse bibliometric techniques, including co-occurrence analysis for trend and cluster identification in the literature. Findings The findings reveal an exponential annual growth rate of 150% in the domain, highlighting the global research focus. With regards to domain contribution, the Journal of Knowledge Management and China leads with ten publications in their respective categories. The co-occurrence analysis further highlights four diverse clusters in the domain, which are further discussed in detail. The study highlights significant contributions from developed economies, thus providing scope for future research from developing or transitioning economies in the Middle East, Central Asia or Africa. The study concludes by presenting the elementary role of knowledge sharing in response to external crises. Originality/value The interest in the knowledge sharing domain has grown exponentially during the COVID-19 pandemic. This research is the first bibliometric analysis with comprehensive and rigorous analytic techniques to unearth critical developments and insights for a holistic understanding.
本研究旨在对COVID-19期间的知识共享进行文献计量分析，突出突出的贡献者、不同的趋势和主题，并提出未来的研究途径。本研究通过系统文献综述框架的科学程序和基本原理，分析了2020年至2022年Scopus和WoS数据库中148份同行评议的期刊出版物和会议记录。它使用一般统计和不同的文献计量技术，包括共现分析趋势和聚类识别的文献。研究结果显示，该领域的年增长率为150%，突出了全球研究的焦点。在领域贡献方面，Journal of Knowledge Management和China在各自的类别中以10篇出版物领先。共现分析进一步强调了该领域中四个不同的集群，并对其进行了进一步的详细讨论。该研究强调了发达经济体的重大贡献，从而为中东、中亚或非洲的发展中经济体或转型经济体的未来研究提供了空间。最后，本文提出了知识共享在应对外部危机中的基本作用。在2019冠状病毒病大流行期间，对知识共享领域的兴趣呈指数级增长。这项研究是第一个文献计量学分析与全面和严格的分析技术，以发掘关键的发展和见解的整体理解。
{"title":"Knowledge sharing in the era of Covid-19: a bibliometric analysis using scopus and web-of-science (WoS)","authors":"Jayesh Pandey, Shubh Majumdarr, Rayees Farooq, Santushti Gupta, Pallav Bose","doi":"10.1108/gkmc-02-2023-0051","DOIUrl":"https://doi.org/10.1108/gkmc-02-2023-0051","url":null,"abstract":"Purpose This study aims to conduct a bibliometric analysis of knowledge sharing during COVID-19 and highlight prominent contributors, diverse trends and themes followed with provisions of future research avenues. Design/methodology/approach The study through scientific procedures and rationales for systematic literature reviews framework analyses 148 peer-reviewed journal publications and conference proceedings indexed in Scopus and WoS databases from 2020 to 2022. It uses general statistics and diverse bibliometric techniques, including co-occurrence analysis for trend and cluster identification in the literature. Findings The findings reveal an exponential annual growth rate of 150% in the domain, highlighting the global research focus. With regards to domain contribution, the Journal of Knowledge Management and China leads with ten publications in their respective categories. The co-occurrence analysis further highlights four diverse clusters in the domain, which are further discussed in detail. The study highlights significant contributions from developed economies, thus providing scope for future research from developing or transitioning economies in the Middle East, Central Asia or Africa. The study concludes by presenting the elementary role of knowledge sharing in response to external crises. Originality/value The interest in the knowledge sharing domain has grown exponentially during the COVID-19 pandemic. This research is the first bibliometric analysis with comprehensive and rigorous analytic techniques to unearth critical developments and insights for a holistic understanding.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135366125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector. Design/methodology/approach Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs. Findings The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks. Originality/value The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.
{"title":"AI-enabled human capital management (HCM) software adoption using full consistency method (FUCOM): evidence from banking industry","authors":"Rama Shankar Yadav, Sema Kayapinar Kaya, Abhay Pant, Anurag Tiwari","doi":"10.1108/gkmc-04-2023-0128","DOIUrl":"https://doi.org/10.1108/gkmc-04-2023-0128","url":null,"abstract":"Purpose Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector. Design/methodology/approach Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs. Findings The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks. Originality/value The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1108/gkmc-06-2023-0214
Mohamed Ibrahim Al Ali, Osama Khassawneh, Washika Haak-Saheem, Jing Zeng, Tamer K. Darwish
Purpose The purpose of this study is to investigate the factors that influence the development of human capital by examining the interplay between different organizational mechanisms, including leadership, organizational culture and human resources management (HRM) practices. This study aims to enhance our understanding of how knowledge exchange influences human capital, with a specific focus on the unique context of Dubai, an area and context that have been underexplored in this research domain. Design/methodology/approach This study used a survey-based approach, involving 611 participants working across different sectors based in Dubai. This study used partial least squares structural equation modeling as the statistical analysis method. Findings The results of the study indicate that leadership behaviors have a predictive influence on organizational culture. In turn, organizational culture significantly affects knowledge exchange. Additionally, the study reveals that commitment-based HRM practices play a significant moderating role in the relationship between organizational culture and knowledge exchange. Originality/value This study contributes to the existing literature by providing valuable insights into the interplay between leadership, organizational culture and commitment-based HRM practices. By exploring these factors and their influence on knowledge exchange and human capital, the study enhances both the theoretical understanding and practical application in this field.
{"title":"Unveiling Dubai’s knowledge economy: a journey toward enhancing knowledge exchange and human capital","authors":"Mohamed Ibrahim Al Ali, Osama Khassawneh, Washika Haak-Saheem, Jing Zeng, Tamer K. Darwish","doi":"10.1108/gkmc-06-2023-0214","DOIUrl":"https://doi.org/10.1108/gkmc-06-2023-0214","url":null,"abstract":"Purpose The purpose of this study is to investigate the factors that influence the development of human capital by examining the interplay between different organizational mechanisms, including leadership, organizational culture and human resources management (HRM) practices. This study aims to enhance our understanding of how knowledge exchange influences human capital, with a specific focus on the unique context of Dubai, an area and context that have been underexplored in this research domain. Design/methodology/approach This study used a survey-based approach, involving 611 participants working across different sectors based in Dubai. This study used partial least squares structural equation modeling as the statistical analysis method. Findings The results of the study indicate that leadership behaviors have a predictive influence on organizational culture. In turn, organizational culture significantly affects knowledge exchange. Additionally, the study reveals that commitment-based HRM practices play a significant moderating role in the relationship between organizational culture and knowledge exchange. Originality/value This study contributes to the existing literature by providing valuable insights into the interplay between leadership, organizational culture and commitment-based HRM practices. By exploring these factors and their influence on knowledge exchange and human capital, the study enhances both the theoretical understanding and practical application in this field.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1108/gkmc-06-2023-0201
Bharti Pandya, BooYun Cho, Louise Patterson
Purpose During the COVID-19 pandemic, the importance of digital infrastructure in higher education surged. This study aims to analyze how a country’s digital capabilities influence pedagogical transitions in business schools and compare the impacts between digitally advanced and advancing countries. Design/methodology/approach The authors applied the job demands–resources model and the IMD World Digital Competition Ranking 2021 to analyze the impact of nations’ digital capabilities on the pedagogical transitions experienced by 121 business faculty members from 20 nations. The countries were categorized into digitally advanced countries and advancing countries. The snowball sampling method was used to gather data through an online survey consisting of 24 items. SPSS was used to statistically analyze the data in two stages using paired t -test and group comparison. Findings Significant shifts between face-to-face and online lectures occurred in both groups. Advanced countries witnessed positive shifts in discussions, presentations, oral assessment, independent learning opportunities, online teaching methods, technical support and faculties’ readiness, whereas advancing countries mainly noted alterations in professional development and communication technologies. Originality/value This study offers insights into optimizing digital capabilities and enhancing business schools’ readiness for effective pedagogical shifts during crises. Both the theoretical contribution and the findings will benefit national education policies, higher education institution leaders, scholars and educators.
{"title":"Impact of digital capabilities of countries on the pedagogical transitions in business schools","authors":"Bharti Pandya, BooYun Cho, Louise Patterson","doi":"10.1108/gkmc-06-2023-0201","DOIUrl":"https://doi.org/10.1108/gkmc-06-2023-0201","url":null,"abstract":"Purpose During the COVID-19 pandemic, the importance of digital infrastructure in higher education surged. This study aims to analyze how a country’s digital capabilities influence pedagogical transitions in business schools and compare the impacts between digitally advanced and advancing countries. Design/methodology/approach The authors applied the job demands–resources model and the IMD World Digital Competition Ranking 2021 to analyze the impact of nations’ digital capabilities on the pedagogical transitions experienced by 121 business faculty members from 20 nations. The countries were categorized into digitally advanced countries and advancing countries. The snowball sampling method was used to gather data through an online survey consisting of 24 items. SPSS was used to statistically analyze the data in two stages using paired t -test and group comparison. Findings Significant shifts between face-to-face and online lectures occurred in both groups. Advanced countries witnessed positive shifts in discussions, presentations, oral assessment, independent learning opportunities, online teaching methods, technical support and faculties’ readiness, whereas advancing countries mainly noted alterations in professional development and communication technologies. Originality/value This study offers insights into optimizing digital capabilities and enhancing business schools’ readiness for effective pedagogical shifts during crises. Both the theoretical contribution and the findings will benefit national education policies, higher education institution leaders, scholars and educators.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135667044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-18DOI: 10.1108/gkmc-03-2023-0096
Sivankutty V.S., Jinu Sudhakaran
Purpose Covid-19 pandemic created a series of challenges for all professions, and libraries and library professionals were not spared. This study aims to attempt to analyze how qualified library professionals in India responded to the pandemic period and seeks their opinion on their preference for the job sector, activities and the challenges they faced during the pandemic. Design/methodology/approach The study is based on a quantitative survey method using simple random sampling technique. A structured Google forms questionnaire was used to collect the data. In total, 169 qualified professionals, working in different LIS areas, and a few nonworking professionals participated in the survey. The data were collected and analyzed using MS Excel, and statistical tests were done. Findings The major challenges include lack of proper equipment and official digital records, comfortable work environment, poor internet connection and over work load. Majority wish to work in the government rather than the private sector. The participants believe that Covid has affected employment opportunities. Despite the challenges, library professionals are satisfied with the profession and were actively engaged in the learning process. Research limitations/implications The challenges faced by the LIS profession during the post Covid era should be examined by professional bodies and organizations and should ensure extensive human resources development in different LIS sectors and stress the need to implement better services to society with a better digital experience. Originality/value The study explores how qualified library professionals from India have coped with the Covid pandemic and seeks to identify challenges in post-Covid LIS employment. To the best of the authors’ knowledge, this study is the first of its kind concerning work reflections of library professionals in India since the pandemic.
{"title":"Workplace reflections of librarians in India during the COVID pandemic","authors":"Sivankutty V.S., Jinu Sudhakaran","doi":"10.1108/gkmc-03-2023-0096","DOIUrl":"https://doi.org/10.1108/gkmc-03-2023-0096","url":null,"abstract":"Purpose Covid-19 pandemic created a series of challenges for all professions, and libraries and library professionals were not spared. This study aims to attempt to analyze how qualified library professionals in India responded to the pandemic period and seeks their opinion on their preference for the job sector, activities and the challenges they faced during the pandemic. Design/methodology/approach The study is based on a quantitative survey method using simple random sampling technique. A structured Google forms questionnaire was used to collect the data. In total, 169 qualified professionals, working in different LIS areas, and a few nonworking professionals participated in the survey. The data were collected and analyzed using MS Excel, and statistical tests were done. Findings The major challenges include lack of proper equipment and official digital records, comfortable work environment, poor internet connection and over work load. Majority wish to work in the government rather than the private sector. The participants believe that Covid has affected employment opportunities. Despite the challenges, library professionals are satisfied with the profession and were actively engaged in the learning process. Research limitations/implications The challenges faced by the LIS profession during the post Covid era should be examined by professional bodies and organizations and should ensure extensive human resources development in different LIS sectors and stress the need to implement better services to society with a better digital experience. Originality/value The study explores how qualified library professionals from India have coped with the Covid pandemic and seeks to identify challenges in post-Covid LIS employment. To the best of the authors’ knowledge, this study is the first of its kind concerning work reflections of library professionals in India since the pandemic.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135823906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1108/gkmc-03-2023-0101
Malik Abu Afifa, Isam Saleh, Hien Vo Van
Purpose Based on the technology acceptance model theory, this study aims to explore whether perceived usefulness (PU), perceived ease of use (PE) and the availability to embrace technology (AET) influence the intention to accept an enterprise resource planning (ERP) system in Jordanian companies. It also analyses the influence of the intention to accept ERP system on ERP system adoption. More crucially, the current research fills a gap in earlier investigations by exploring the influence of adopting an ERP system on accounting information quality moderated by a company size. Design/methodology/approach This research seeks to provide evidence about the study context from Jordanian companies, as the research population and sample consist of all companies listed on the Amman Stock Exchange in 2022 (totally 170 companies). This signifies that the research method is a complete survey of the study population. The core data were collected using an online survey via Google Forms. It was emailed to the selected companies’ chief financial officers. Because each company received one online survey questionnaire, this unit of analysis is a company. Finally, 141 questionnaires were returned, reflecting an 82.94% response rate. Findings Empirically, the findings reveal that PU, PE and AET influence the intention to accept an ERP system, and that there is a positive relation between the intention to accept an ERP system and ERP system adoption. Furthermore, ERP system adoption positively influences relevance and faithful representation of accounting information moderated by company size. Originality/value This research adds to the accounting information quality literature by investigating the direct influence of ERP system adoption. Furthermore, the findings show the effectiveness of ERP system adoption and its regulatory roles in companies. Finally, this research was conducted to provide empirical knowledge on ERP system adoption in developing countries, notably Jordan.
{"title":"Accounting information quality in the digital era – a perspective from ERP system adoption?","authors":"Malik Abu Afifa, Isam Saleh, Hien Vo Van","doi":"10.1108/gkmc-03-2023-0101","DOIUrl":"https://doi.org/10.1108/gkmc-03-2023-0101","url":null,"abstract":"Purpose Based on the technology acceptance model theory, this study aims to explore whether perceived usefulness (PU), perceived ease of use (PE) and the availability to embrace technology (AET) influence the intention to accept an enterprise resource planning (ERP) system in Jordanian companies. It also analyses the influence of the intention to accept ERP system on ERP system adoption. More crucially, the current research fills a gap in earlier investigations by exploring the influence of adopting an ERP system on accounting information quality moderated by a company size. Design/methodology/approach This research seeks to provide evidence about the study context from Jordanian companies, as the research population and sample consist of all companies listed on the Amman Stock Exchange in 2022 (totally 170 companies). This signifies that the research method is a complete survey of the study population. The core data were collected using an online survey via Google Forms. It was emailed to the selected companies’ chief financial officers. Because each company received one online survey questionnaire, this unit of analysis is a company. Finally, 141 questionnaires were returned, reflecting an 82.94% response rate. Findings Empirically, the findings reveal that PU, PE and AET influence the intention to accept an ERP system, and that there is a positive relation between the intention to accept an ERP system and ERP system adoption. Furthermore, ERP system adoption positively influences relevance and faithful representation of accounting information moderated by company size. Originality/value This research adds to the accounting information quality literature by investigating the direct influence of ERP system adoption. Furthermore, the findings show the effectiveness of ERP system adoption and its regulatory roles in companies. Finally, this research was conducted to provide empirical knowledge on ERP system adoption in developing countries, notably Jordan.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135688711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1108/gkmc-07-2023-0264
Abid Iqbal, Khurram Shahzad, Shakeel Ahmad Khan, Muhammad Shahzad Chaudhry
Purpose The purpose of this study is to identify the relationship between artificial intelligence (AI) and fake news detection. It also intended to explore the negative effects of fake news on society and to find out trending techniques for fake news detection. Design/methodology/approach “Preferred Reporting Items for the Systematic Review and Meta-Analysis” were applied as a research methodology for conducting the study. Twenty-five peer-reviewed, most relevant core studies were included to carry out a systematic literature review. Findings Findings illustrated that AI has a strong positive relationship with the detection of fake news. The study displayed that fake news caused emotional problems, threats to important institutions of the state and a bad impact on culture. Results of the study also revealed that big data analytics, fact-checking websites, automatic detection tools and digital literacy proved fruitful in identifying fake news. Originality/value The study offers theoretical implications for the researchers to further explore the area of AI in relation to fake news detection. It also provides managerial implications for educationists, IT experts and policymakers. This study is an important benchmark to control the generation and dissemination of fake news on social media platforms.
{"title":"The relationship of artificial intelligence (AI) with fake news detection (FND): a systematic literature review","authors":"Abid Iqbal, Khurram Shahzad, Shakeel Ahmad Khan, Muhammad Shahzad Chaudhry","doi":"10.1108/gkmc-07-2023-0264","DOIUrl":"https://doi.org/10.1108/gkmc-07-2023-0264","url":null,"abstract":"Purpose The purpose of this study is to identify the relationship between artificial intelligence (AI) and fake news detection. It also intended to explore the negative effects of fake news on society and to find out trending techniques for fake news detection. Design/methodology/approach “Preferred Reporting Items for the Systematic Review and Meta-Analysis” were applied as a research methodology for conducting the study. Twenty-five peer-reviewed, most relevant core studies were included to carry out a systematic literature review. Findings Findings illustrated that AI has a strong positive relationship with the detection of fake news. The study displayed that fake news caused emotional problems, threats to important institutions of the state and a bad impact on culture. Results of the study also revealed that big data analytics, fact-checking websites, automatic detection tools and digital literacy proved fruitful in identifying fake news. Originality/value The study offers theoretical implications for the researchers to further explore the area of AI in relation to fake news detection. It also provides managerial implications for educationists, IT experts and policymakers. This study is an important benchmark to control the generation and dissemination of fake news on social media platforms.","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135688715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-02DOI: 10.1108/gkmc-03-2023-0106
Rahat Gulzar, Sumeer Gul, Manoj Kumar Verma, Mushtaq Ahmad Darzi, Farzana Gulzar, Sheikh Shueb
Purpose Sharing and obtaining information over social media has enabled people to express their opinions regarding any event. Since the tweets regarding the Russia-Ukraine war were extensively publicized on social media, this study aims to analyse the temporal sentiments people express through tweets related to the war. Design/methodology/approach Relevant hashtag related to the Russia-Ukraine war was identified, and tweets were downloaded using Twitter API, which were later migrated to Orange Data mining software. Pre-processing techniques like transformation, tokenization, and filtering were applied to the extracted tweets. VADER (Valence Aware Dictionary for Sentiment Reasoning) sentiment analysis module of Orange software was used to categorize tweets into positive, negative and neutral ones based on the tweet polarity. For ascertaining the key and co-occurring terms and phrases in tweets and also to visualize the keyword clusters, VOSviewer, a data visualization software, was made use of. Findings An increase in the number of tweets is witnessed in the initial days, while a decline is observed over time. Most tweets are negative in nature, followed by positive and neutral ones. It is also ascertained that tweets from verified accounts are more impactful than unverified ones. russiaukrainewar, ukraine, russia, false, war, nato, zelensky and stoprussia are the dominant co-occurring keywords. Ukraine, Russia and Putin are the top hashtags for sentiment representation. India, the USA and the UK contribute the highest tweets. Originality/value The study tries to explore the public sentiments expressed over Twitter related to Russia-Ukraine war.
通过社交媒体分享和获取信息使人们能够对任何事件表达自己的意见。由于有关俄乌战争的推文在社交媒体上被广泛传播，本研究旨在分析人们通过与战争有关的推文表达的时间情绪。设计/方法/方法识别与俄乌战争相关的标签，并使用Twitter API下载推文，随后迁移到Orange数据挖掘软件。预处理技术，如转换、标记化和过滤应用于提取的tweet。使用Orange软件的VADER (Valence Aware Dictionary for Sentiment Reasoning)情感分析模块，根据推文极性将推文分为积极、消极和中性三类。为了确定tweet中的关键和共出现的术语和短语，并将关键字集群可视化，使用了数据可视化软件VOSviewer。在最初的几天里，推文数量增加，随着时间的推移，推文数量下降。大多数推文本质上是消极的，其次是积极的和中性的。研究还发现，经过验证的账户发出的推文比未经验证的账户更有影响力。俄罗斯-乌克兰战争，乌克兰，俄罗斯，虚假，战争，北约，泽连斯基和stoprussia是主要的共同出现的关键词。乌克兰、俄罗斯和普京是情感表达的热门标签。印度、美国和英国的推文最多。原创性/价值本研究试图探讨与俄乌战争有关的公众在Twitter上表达的情绪。
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Pub Date : 2023-10-02DOI: 10.1108/gkmc-02-2023-0060
Marina Bagić Babac
Purpose Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media. Design/methodology/approach For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance. Findings The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts. Originality/value Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.
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