Pub Date : 2023-08-22DOI: 10.1108/idd-07-2022-0071
I. Bhat, Shilpi Gupta, Ghulam Mohammad Bhat
Purpose The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users. Design/methodology/approach Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques. Findings The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD. Social implications This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change. Originality/value Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.
{"title":"Effect of social media usage on major depressive disorder among generation Z: a study in Indian context","authors":"I. Bhat, Shilpi Gupta, Ghulam Mohammad Bhat","doi":"10.1108/idd-07-2022-0071","DOIUrl":"https://doi.org/10.1108/idd-07-2022-0071","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users.\u0000\u0000\u0000Design/methodology/approach\u0000Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques.\u0000\u0000\u0000Findings\u0000The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD.\u0000\u0000\u0000Social implications\u0000This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change.\u0000\u0000\u0000Originality/value\u0000Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":"138 21","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41247548","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 : 2023-08-01DOI: 10.1108/idd-11-2022-0109
Jinal Shah, Monica Khanna
Purpose This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct. Design/methodology/approach This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis. Findings The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs. Research limitations/implications In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms. Practical implications The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners. Originality/value The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.
{"title":"Determining the post-adoptive intention of millennials for MOOCs: an information systems perspective","authors":"Jinal Shah, Monica Khanna","doi":"10.1108/idd-11-2022-0109","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0109","url":null,"abstract":"\u0000Purpose\u0000This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.\u0000\u0000\u0000Design/methodology/approach\u0000This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.\u0000\u0000\u0000Findings\u0000The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.\u0000\u0000\u0000Research limitations/implications\u0000In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.\u0000\u0000\u0000Practical implications\u0000The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.\u0000\u0000\u0000Originality/value\u0000The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48603219","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 : 2023-07-31DOI: 10.1108/idd-01-2023-0002
Danny Sandor, Marina Bagić Babac
Purpose Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning. Design/methodology/approach For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared. Findings The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models. Originality/value This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.
{"title":"Sarcasm detection in online comments using machine learning","authors":"Danny Sandor, Marina Bagić Babac","doi":"10.1108/idd-01-2023-0002","DOIUrl":"https://doi.org/10.1108/idd-01-2023-0002","url":null,"abstract":"\u0000Purpose\u0000Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.\u0000\u0000\u0000Design/methodology/approach\u0000For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.\u0000\u0000\u0000Findings\u0000The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.\u0000\u0000\u0000Originality/value\u0000This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48516506","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 Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering. Design/methodology/approach This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined. Findings The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50. Originality/value To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.
目的:网站、搜索引擎、推荐系统、人工智能和数字图书馆都有可能支持意外发现，即与信息和想法进行意想不到的交互，从而导致受欢迎的信息发现。本文旨在探讨意外发现的研究现状，特别是与信息相遇相关的意外发现。设计/方法/方法本研究对从Web of Science中提取的166项关于serendipity的研究进行了文献计量学综述。两种文献计量分析工具HisCite和RStudio (Biblioshiny)用于30年的数据。论文的引用计数和书目记录使用HisCite进行评估。此外，使用RStudio (Biblioshiny)软件对重要来源、国家、关键词以及作者和机构的合作网络进行可视化评估。从1989年到2022年，共发现了166篇关于意外发现的论文，并确定了其中最有影响力的作者、文章、期刊、机构和国家。研究结果:2019年发表了11篇论文，数量最多。Makri和Erdelez是对意外发现的研究最有影响力的作者。《文献学报》是国内排名第一的期刊。伦敦大学学院(University College London)是对意外发现的研究贡献最多的著名机构。英国和美国是贡献研究数量最多的突出国家。意外发现研究的作者模式揭示了大多数研究的单一作者参与。OA Green模型是研究serendipity的作者最喜欢的研究文章归档模型。此外，大部分研究成果的引用数在0 - 50之间。原创性/价值据作者所知，本文可能是图书馆情报学研究中首次使用文献计量学工具对偶然性研究进行文献计量学分析。这篇论文肯定会为其他偶然发现的研究人员开辟新的途径。
{"title":"A bibliometric review on serendipity literature available in Web of Science database using HistCite and Biblioshiny","authors":"Abhijit Thakuria, Indranil Chakraborty, Dipen Deka","doi":"10.1108/idd-01-2023-0001","DOIUrl":"https://doi.org/10.1108/idd-01-2023-0001","url":null,"abstract":"\u0000Purpose\u0000Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.\u0000\u0000\u0000Design/methodology/approach\u0000This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.\u0000\u0000\u0000Findings\u0000The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47719579","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 : 2023-07-18DOI: 10.1108/idd-12-2022-0128
Karrar Khalaf Jabbar Allami, Faozi A. Almaqtari, Hamood Mohammed Al-Hattami, Ritu Sapra
Purpose This study aims to investigate the factors associated with the intention to use information technology in audit (ITIA) in Iraq. Design/methodology/approach The study uses a quantitative approach based on a questionnaire survey of 186 respondents. The study population includes respondents who are board members, senior executives, internal auditors and information technology (IT) assistants in various Iraqi organizations from different sectors. Structural equation modeling has been used to estimate the results. Findings The findings exhibit that most auditors in Iraq use basic IT software. However, among several specialized and advanced IT audit software packages, only generalized audit software is used by about 20%. The results also indicate that social factors significantly and positively impact auditors’ and practitioners’ perceptions of ITIA use. Moreover, the results reveal that companies and auditors who use or audit complex accounting systems perceive higher benefits and intent to adopt ITIA. However, the results report that organizational support, professional support, competency and IT education have an insignificant effect on ITIA adoption. Originality/value The originality of the present research lies in several aspects. First, the research study focuses specifically on Iraq, which is an emerging and less developed country influenced by social and economic. This research context provides a unique perspective and contributes to the understanding of ITIA adoption in less developed countries. The study investigates how external factors, including social and external pressure and the support of government professional bodies, affect the adoption of ITIA. Further, it assesses the influence of firms’ specific factors such as management support, level of competency and complexity of accounting information systems. Second, the study uses a quantitative approach with a questionnaire survey from various Iraqi organizations and sectors. The specific sample composition adds originality by capturing insights from different levels of organizational hierarchy and diverse professional backgrounds. Third, the findings shed light on the current IT usage in auditing practices in Iraq, highlighting that most auditors use basic IT software and the limited adoption of specialized IT audit software packages. Finally, the study’s originality is also reflected in its contribution to expanding knowledge on the perceived benefits and challenges associated with ITIA adoption in less developed countries. By emphasizing the need for broader awareness of emerging technology-enabled auditing software and considering the unique characteristics of less developed countries, the research provides valuable insights and implications for practitioners, policymakers and researchers.
{"title":"Factors associated with the intention to use information technology in audit in Iraq","authors":"Karrar Khalaf Jabbar Allami, Faozi A. Almaqtari, Hamood Mohammed Al-Hattami, Ritu Sapra","doi":"10.1108/idd-12-2022-0128","DOIUrl":"https://doi.org/10.1108/idd-12-2022-0128","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the factors associated with the intention to use information technology in audit (ITIA) in Iraq.\u0000\u0000\u0000Design/methodology/approach\u0000The study uses a quantitative approach based on a questionnaire survey of 186 respondents. The study population includes respondents who are board members, senior executives, internal auditors and information technology (IT) assistants in various Iraqi organizations from different sectors. Structural equation modeling has been used to estimate the results.\u0000\u0000\u0000Findings\u0000The findings exhibit that most auditors in Iraq use basic IT software. However, among several specialized and advanced IT audit software packages, only generalized audit software is used by about 20%. The results also indicate that social factors significantly and positively impact auditors’ and practitioners’ perceptions of ITIA use. Moreover, the results reveal that companies and auditors who use or audit complex accounting systems perceive higher benefits and intent to adopt ITIA. However, the results report that organizational support, professional support, competency and IT education have an insignificant effect on ITIA adoption.\u0000\u0000\u0000Originality/value\u0000The originality of the present research lies in several aspects. First, the research study focuses specifically on Iraq, which is an emerging and less developed country influenced by social and economic. This research context provides a unique perspective and contributes to the understanding of ITIA adoption in less developed countries. The study investigates how external factors, including social and external pressure and the support of government professional bodies, affect the adoption of ITIA. Further, it assesses the influence of firms’ specific factors such as management support, level of competency and complexity of accounting information systems. Second, the study uses a quantitative approach with a questionnaire survey from various Iraqi organizations and sectors. The specific sample composition adds originality by capturing insights from different levels of organizational hierarchy and diverse professional backgrounds. Third, the findings shed light on the current IT usage in auditing practices in Iraq, highlighting that most auditors use basic IT software and the limited adoption of specialized IT audit software packages. Finally, the study’s originality is also reflected in its contribution to expanding knowledge on the perceived benefits and challenges associated with ITIA adoption in less developed countries. By emphasizing the need for broader awareness of emerging technology-enabled auditing software and considering the unique characteristics of less developed countries, the research provides valuable insights and implications for practitioners, policymakers and researchers.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48533430","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 : 2023-07-17DOI: 10.1108/idd-10-2022-0099
Anaile Rabelo, M. W. Rodrigues, Cristiane Nobre, Seiji Isotani, Luis E. Zárate
Purpose The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective. Design/methodology/approach This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM. Findings From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles. Originality/value This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.
{"title":"Educational data mining and learning analytics: a review of educational management in e-learning","authors":"Anaile Rabelo, M. W. Rodrigues, Cristiane Nobre, Seiji Isotani, Luis E. Zárate","doi":"10.1108/idd-10-2022-0099","DOIUrl":"https://doi.org/10.1108/idd-10-2022-0099","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.\u0000\u0000\u0000Findings\u0000From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.\u0000\u0000\u0000Originality/value\u0000This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47903133","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 : 2023-07-05DOI: 10.1108/idd-11-2022-0115
Shruti Gulati
Purpose This study aims to explore how social media affects decision-making among tourists and whether there is a potential effect of age, which is studied through generations. For this purpose, baby boomers, Gen X, Gen Y and Gen Z tourists are studied and real-time implications are offered. Design/methodology/approach The study adopts a descriptive and exploratory design where the conceptual model of social media-based decision-making is developed through a review of the literature. Quantitative analysis is conducted on primary data from 600 Indian tourists. This is done using a self-administered questionnaire adopted from Gulati (2022) after checking its validity and reliability. The statistical analysis for hypothesis testing is done using PLS-SEM path modelling on pooled data. To study the categorical moderating effect of generations, partial least squares multigroup analysis (PLS-MGA) is performed as a paired comparison on every successive generation. Findings After testing every successive younger generation with an older generation through PLS-MGA, none of the pairs found any significant differences in path coefficients, as the values obtained were 0.05 < p < 0.95 for all five paths (SM → NR, SM → IS, SM → E, SM → P, SM → PPB). This indicates all the generations behave in a similar manner irrespective of them being older or younger, and age does not moderate social media’s impact on decision-making among Indian tourists. Research limitations/implications The study establishes India as a unique geographical market and suggests tourism marketers to treat all generations at par, irrespective of age, as they behave and interact with social media in a similar manner. But, because this study is restricted to a single geographical location, i.e. India, further regions can be explored for global generalisation. Future research can also explore other demographics for combined, moderated analysis. Findings from the study suggest that marketers should ensure that equal attention is given to all generations as they engage with social media in a similar manner. Targeted marketing using artificial intelligence can help in ensuring custom ads. Personalisation according to generations can also facilitate greater purchases. Originality/value The study fills a major population and knowledge gap by exploring a topic that has been highly under-researched. Also, the study adopts an inclusive approach by analysing all the generations, both younger and older, to understand the potential effect of age on moderating the impact that social media has on tourist decision-making. Further, real-time suggestions and implications are offered to tourism marketers with special reference to the Indian tourism industry.
本研究旨在探讨社交媒体如何影响游客的决策，以及是否存在年龄的潜在影响，并通过代际研究。为此，研究人员对婴儿潮一代、X一代、Y一代和Z一代游客进行了研究，并提供了实时影响。设计/方法/途径本研究采用描述性和探索性设计，通过对文献的回顾，开发出基于社交媒体的决策概念模型。对600名印度游客的原始数据进行了定量分析。本研究采用了古拉提(Gulati, 2022)的自我管理问卷，并对其进行了效度和信度检验。假设检验的统计分析是使用PLS-SEM路径模型对合并数据进行的。为了研究世代的分类调节效应，偏最小二乘多组分析(PLS-MGA)作为每一代的配对比较进行。结果:通过PLS-MGA对每一代年轻代与老一代进行连续检验，得到的5条路径(SM→NR、SM→IS、SM→E、SM→p、SM→PPB)通径系数均为0.05 < p < 0.95，无显著差异。这表明，无论年龄大小，所有几代人的行为方式都是相似的，年龄并不能缓和社交媒体对印度游客决策的影响。研究局限/启示该研究将印度确立为一个独特的地理市场，并建议旅游营销人员平等对待所有年龄段的人，无论他们年龄大小，因为他们的行为和与社交媒体的互动方式相似。但是，由于这项研究仅限于一个单一的地理位置，即印度，因此可以探索进一步的区域以进行全球推广。未来的研究还可以探索其他人口统计数据，进行综合、适度的分析。研究结果表明，营销人员应该确保以类似的方式对所有年龄段的人给予同等的关注。使用人工智能的定向营销可以帮助确保定制广告。根据世代进行个性化也可以促进更多的购买。独创性/价值这项研究通过探索一个研究不足的话题，填补了一个主要的人口和知识空白。此外，该研究采用了一种包容性的方法，通过分析所有代人，包括年轻人和老年人，来了解年龄对缓和社交媒体对游客决策的影响的潜在影响。此外，本文还针对印度旅游业为旅游营销人员提供了实时的建议和启示。
{"title":"Exploring the generational influence on social media-based tourist decision-making in India","authors":"Shruti Gulati","doi":"10.1108/idd-11-2022-0115","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0115","url":null,"abstract":"\u0000Purpose\u0000This study aims to explore how social media affects decision-making among tourists and whether there is a potential effect of age, which is studied through generations. For this purpose, baby boomers, Gen X, Gen Y and Gen Z tourists are studied and real-time implications are offered.\u0000\u0000\u0000Design/methodology/approach\u0000The study adopts a descriptive and exploratory design where the conceptual model of social media-based decision-making is developed through a review of the literature. Quantitative analysis is conducted on primary data from 600 Indian tourists. This is done using a self-administered questionnaire adopted from Gulati (2022) after checking its validity and reliability. The statistical analysis for hypothesis testing is done using PLS-SEM path modelling on pooled data. To study the categorical moderating effect of generations, partial least squares multigroup analysis (PLS-MGA) is performed as a paired comparison on every successive generation.\u0000\u0000\u0000Findings\u0000After testing every successive younger generation with an older generation through PLS-MGA, none of the pairs found any significant differences in path coefficients, as the values obtained were 0.05 < p < 0.95 for all five paths (SM → NR, SM → IS, SM → E, SM → P, SM → PPB). This indicates all the generations behave in a similar manner irrespective of them being older or younger, and age does not moderate social media’s impact on decision-making among Indian tourists.\u0000\u0000\u0000Research limitations/implications\u0000The study establishes India as a unique geographical market and suggests tourism marketers to treat all generations at par, irrespective of age, as they behave and interact with social media in a similar manner. But, because this study is restricted to a single geographical location, i.e. India, further regions can be explored for global generalisation. Future research can also explore other demographics for combined, moderated analysis. Findings from the study suggest that marketers should ensure that equal attention is given to all generations as they engage with social media in a similar manner. Targeted marketing using artificial intelligence can help in ensuring custom ads. Personalisation according to generations can also facilitate greater purchases.\u0000\u0000\u0000Originality/value\u0000The study fills a major population and knowledge gap by exploring a topic that has been highly under-researched. Also, the study adopts an inclusive approach by analysing all the generations, both younger and older, to understand the potential effect of age on moderating the impact that social media has on tourist decision-making. Further, real-time suggestions and implications are offered to tourism marketers with special reference to the Indian tourism industry.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44099732","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 : 2023-07-03DOI: 10.1108/idd-11-2022-0120
Amruta Deshpande, Rajesh Raut, K. Gupta, A. Mittal, Deepali Raheja, Nivedita Ekbote, Natashaa Kaul
Purpose The purpose of this study is to examine the continuance intentions of working professionals to pursue e-learning courses as a path for career advancement. The primary objective of this study is to ascertain the predictors of continued intentions of working professionals to pursue e-learning courses and examine if this is a trend in career development. Design/methodology/approach Perceived usefulness of e-learning, motivation and satisfaction are independent variables which are examined using a regression model as potential determinants of continued intentions to use various e-learning platforms. Data from 240 working professionals in different sectors was collected. In addition, satisfaction, motivation and perceived usefulness among the male and female respondents are compared using ANOVA. Findings The findings showed that motivation, satisfaction and perceived usefulness of e-learning are significant predictors and have a strong influence on the continued intentions of working professionals to pursue e-learning courses. In addition, the results showed that motivation levels while pursuing e-learning and satisfaction derived from them were higher for female professionals. Practical implications This study identifies the antecedents of the continued intentions of working professionals to pursue e-learning courses on the path of career advancement. The outcome of the study can be used by educators and e-content creators to make e-learning more engaging. Corporates can also use the results of this study to identify initiatives that can encourage the pursuit of e-learning. Originality/value This study provides an important insight exploring the antecedents of continued intentions of working professionals to pursue e-learning courses as a path of career advancement. The research contributes significantly to the understanding thought process of working professionals towards their careers.
{"title":"Predictors of continued intention of working professionals for pursuing e-learning courses for career advancement","authors":"Amruta Deshpande, Rajesh Raut, K. Gupta, A. Mittal, Deepali Raheja, Nivedita Ekbote, Natashaa Kaul","doi":"10.1108/idd-11-2022-0120","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0120","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the continuance intentions of working professionals to pursue e-learning courses as a path for career advancement. The primary objective of this study is to ascertain the predictors of continued intentions of working professionals to pursue e-learning courses and examine if this is a trend in career development.\u0000\u0000\u0000Design/methodology/approach\u0000Perceived usefulness of e-learning, motivation and satisfaction are independent variables which are examined using a regression model as potential determinants of continued intentions to use various e-learning platforms. Data from 240 working professionals in different sectors was collected. In addition, satisfaction, motivation and perceived usefulness among the male and female respondents are compared using ANOVA.\u0000\u0000\u0000Findings\u0000The findings showed that motivation, satisfaction and perceived usefulness of e-learning are significant predictors and have a strong influence on the continued intentions of working professionals to pursue e-learning courses. In addition, the results showed that motivation levels while pursuing e-learning and satisfaction derived from them were higher for female professionals.\u0000\u0000\u0000Practical implications\u0000This study identifies the antecedents of the continued intentions of working professionals to pursue e-learning courses on the path of career advancement. The outcome of the study can be used by educators and e-content creators to make e-learning more engaging. Corporates can also use the results of this study to identify initiatives that can encourage the pursuit of e-learning.\u0000\u0000\u0000Originality/value\u0000This study provides an important insight exploring the antecedents of continued intentions of working professionals to pursue e-learning courses as a path of career advancement. The research contributes significantly to the understanding thought process of working professionals towards their careers.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47942482","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 : 2023-06-28DOI: 10.1108/idd-11-2022-0119
J. Wani, Taseef Ayub Sofi, Ishrat Ayub Sofi, S. A. Ganaie
Purpose Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution. Design/methodology/approach The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe. Findings The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”. Research limitations/implications The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas. Practical implications The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study. Originality/value The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.
{"title":"The status of open access repositories in the field of technology: insights from OpenDOAR","authors":"J. Wani, Taseef Ayub Sofi, Ishrat Ayub Sofi, S. A. Ganaie","doi":"10.1108/idd-11-2022-0119","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0119","url":null,"abstract":"\u0000Purpose\u0000Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution.\u0000\u0000\u0000Design/methodology/approach\u0000The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe.\u0000\u0000\u0000Findings\u0000The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”.\u0000\u0000\u0000Research limitations/implications\u0000The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas.\u0000\u0000\u0000Practical implications\u0000The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study.\u0000\u0000\u0000Originality/value\u0000The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43163778","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 : 2023-06-22DOI: 10.1108/idd-08-2022-0083
Javaid Ahmad Wagay, S. Dutta
Purpose This paper focuses on the use of e-resources by research scholars and post-graduate students at Kashmir University. The main aim is to determine the use of e-resources, users skills in handling e-resources and the purpose of their use. Further, this paper aims to highlight the problems faced by research scholars and post-graduate students in accessing e-resources. Design/methodology/approach The survey was conducted through a structured questionnaire circulated among 250 research scholars, both (M.Phil./Ph.D.) and post-graduate students, from different departments of Kashmir University, and the response rate was 80%. Random sample method was used for the selection of respondents and interacting with them. The responses received from the research scholars to 14 questions are presented in the form of tables. Findings Major findings of the study reveal that the majority of the students reported using electronic journal resources for various purposes including working on assignments, research proposal writing, literature review writing, research report writing, current awareness and leisurely exploration of ongoing scientific debates through peer-reviewed papers. The challenges encountered in the use of electronic journal resources include a power outage, inadequate bandwidth, slow download speed, inability to access the resources from home, lack of training, lack of awareness, limited access to computers and difficulty in searching. The paper concludes that electronic resources have become an integral part of the information needs of research scholars’ post-graduate students at Kashmir University. Further, it finds that e-resources can be good substitutes for conventional resources, if the access is fast, and more computer terminals are installed to provide fast access to e-resources. Finally, recommendations for improving the use of electronic journal resources are provided. Practical implications The paper restrains the study exclusively to use of e-resources by the research scholars and post-graduate students of Kashmir University. Originality/value The paper highlights the use of e-resources by research scholars and post-graduate students of Kashmir University and makes some constructive suggestions for the improvement of electronic resources and services. This is the first time an effort has been made to assess the use of electronic resources by post-graduate students at Kashmir University. The study could be used to assess the post-graduate students’ needs for electronic resources at the Kashmir University and other users in higher learning institutions.
{"title":"Utilization of electronic resources: an analysis of awareness and perception of users of Kashmir University","authors":"Javaid Ahmad Wagay, S. Dutta","doi":"10.1108/idd-08-2022-0083","DOIUrl":"https://doi.org/10.1108/idd-08-2022-0083","url":null,"abstract":"\u0000Purpose\u0000This paper focuses on the use of e-resources by research scholars and post-graduate students at Kashmir University. The main aim is to determine the use of e-resources, users skills in handling e-resources and the purpose of their use. Further, this paper aims to highlight the problems faced by research scholars and post-graduate students in accessing e-resources.\u0000\u0000\u0000Design/methodology/approach\u0000The survey was conducted through a structured questionnaire circulated among 250 research scholars, both (M.Phil./Ph.D.) and post-graduate students, from different departments of Kashmir University, and the response rate was 80%. Random sample method was used for the selection of respondents and interacting with them. The responses received from the research scholars to 14 questions are presented in the form of tables.\u0000\u0000\u0000Findings\u0000Major findings of the study reveal that the majority of the students reported using electronic journal resources for various purposes including working on assignments, research proposal writing, literature review writing, research report writing, current awareness and leisurely exploration of ongoing scientific debates through peer-reviewed papers. The challenges encountered in the use of electronic journal resources include a power outage, inadequate bandwidth, slow download speed, inability to access the resources from home, lack of training, lack of awareness, limited access to computers and difficulty in searching. The paper concludes that electronic resources have become an integral part of the information needs of research scholars’ post-graduate students at Kashmir University. Further, it finds that e-resources can be good substitutes for conventional resources, if the access is fast, and more computer terminals are installed to provide fast access to e-resources. Finally, recommendations for improving the use of electronic journal resources are provided.\u0000\u0000\u0000Practical implications\u0000The paper restrains the study exclusively to use of e-resources by the research scholars and post-graduate students of Kashmir University.\u0000\u0000\u0000Originality/value\u0000The paper highlights the use of e-resources by research scholars and post-graduate students of Kashmir University and makes some constructive suggestions for the improvement of electronic resources and services. This is the first time an effort has been made to assess the use of electronic resources by post-graduate students at Kashmir University. The study could be used to assess the post-graduate students’ needs for electronic resources at the Kashmir University and other users in higher learning institutions.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44913682","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：