Pub Date : 2024-08-13DOI: 10.1108/idd-11-2023-0132
Namita Sharma, Meenal Arora, Urvashi Tandon, Amit Mittal
Purpose This study aims to conduct a comprehensive analysis of the current body of existing literature on chatbots and online shopping. Additionally, this study identifies and emphasize the future research agenda and emerging trends within this domain. Design/methodology/approach A thorough investigation was conducted on a set of 147 publications sourced from the Scopus database spanning the years 2016 to 2023 by using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology. The analysis included bibliometric techniques through VOSviewer, including science mapping and performance analysis of the literature under investigation. Findings The findings of the study indicate a systematic impression of prevailing scientific research on integration of Chatbot in online shopping. A majority of publications were contributed by developing countries specifically Asian regions. There has been a notable rise in research collaborations over the course of time. Further, themes were identified through keyword co-occurrence for exploration of future trends in the domain. Practical implications This study identifies and analyzes the patterns in the existing literature on chatbot and online shopping, with the objective of enhancing e-retailers comprehension of this particular topic area. The research findings hold significance for both researchers and organizations in their efforts to enhance strategy design. Originality/value This study uses bibliometric analysis to examine the literature on chatbots and online shopping, aiming to develop a systematic comprehension of the research field. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations.
{"title":"Chatbot integration for online shopping: a bibliometric review and future research agenda","authors":"Namita Sharma, Meenal Arora, Urvashi Tandon, Amit Mittal","doi":"10.1108/idd-11-2023-0132","DOIUrl":"https://doi.org/10.1108/idd-11-2023-0132","url":null,"abstract":"Purpose\u0000This study aims to conduct a comprehensive analysis of the current body of existing literature on chatbots and online shopping. Additionally, this study identifies and emphasize the future research agenda and emerging trends within this domain.\u0000\u0000Design/methodology/approach\u0000A thorough investigation was conducted on a set of 147 publications sourced from the Scopus database spanning the years 2016 to 2023 by using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology. The analysis included bibliometric techniques through VOSviewer, including science mapping and performance analysis of the literature under investigation.\u0000\u0000Findings\u0000The findings of the study indicate a systematic impression of prevailing scientific research on integration of Chatbot in online shopping. A majority of publications were contributed by developing countries specifically Asian regions. There has been a notable rise in research collaborations over the course of time. Further, themes were identified through keyword co-occurrence for exploration of future trends in the domain.\u0000\u0000Practical implications\u0000This study identifies and analyzes the patterns in the existing literature on chatbot and online shopping, with the objective of enhancing e-retailers comprehension of this particular topic area. The research findings hold significance for both researchers and organizations in their efforts to enhance strategy design.\u0000\u0000Originality/value\u0000This study uses bibliometric analysis to examine the literature on chatbots and online shopping, aiming to develop a systematic comprehension of the research field. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918992","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 : 2024-08-13DOI: 10.1108/idd-11-2023-0132
Namita Sharma, Meenal Arora, Urvashi Tandon, Amit Mittal
Purpose This study aims to conduct a comprehensive analysis of the current body of existing literature on chatbots and online shopping. Additionally, this study identifies and emphasize the future research agenda and emerging trends within this domain. Design/methodology/approach A thorough investigation was conducted on a set of 147 publications sourced from the Scopus database spanning the years 2016 to 2023 by using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology. The analysis included bibliometric techniques through VOSviewer, including science mapping and performance analysis of the literature under investigation. Findings The findings of the study indicate a systematic impression of prevailing scientific research on integration of Chatbot in online shopping. A majority of publications were contributed by developing countries specifically Asian regions. There has been a notable rise in research collaborations over the course of time. Further, themes were identified through keyword co-occurrence for exploration of future trends in the domain. Practical implications This study identifies and analyzes the patterns in the existing literature on chatbot and online shopping, with the objective of enhancing e-retailers comprehension of this particular topic area. The research findings hold significance for both researchers and organizations in their efforts to enhance strategy design. Originality/value This study uses bibliometric analysis to examine the literature on chatbots and online shopping, aiming to develop a systematic comprehension of the research field. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations.
{"title":"Chatbot integration for online shopping: a bibliometric review and future research agenda","authors":"Namita Sharma, Meenal Arora, Urvashi Tandon, Amit Mittal","doi":"10.1108/idd-11-2023-0132","DOIUrl":"https://doi.org/10.1108/idd-11-2023-0132","url":null,"abstract":"Purpose\u0000This study aims to conduct a comprehensive analysis of the current body of existing literature on chatbots and online shopping. Additionally, this study identifies and emphasize the future research agenda and emerging trends within this domain.\u0000\u0000Design/methodology/approach\u0000A thorough investigation was conducted on a set of 147 publications sourced from the Scopus database spanning the years 2016 to 2023 by using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology. The analysis included bibliometric techniques through VOSviewer, including science mapping and performance analysis of the literature under investigation.\u0000\u0000Findings\u0000The findings of the study indicate a systematic impression of prevailing scientific research on integration of Chatbot in online shopping. A majority of publications were contributed by developing countries specifically Asian regions. There has been a notable rise in research collaborations over the course of time. Further, themes were identified through keyword co-occurrence for exploration of future trends in the domain.\u0000\u0000Practical implications\u0000This study identifies and analyzes the patterns in the existing literature on chatbot and online shopping, with the objective of enhancing e-retailers comprehension of this particular topic area. The research findings hold significance for both researchers and organizations in their efforts to enhance strategy design.\u0000\u0000Originality/value\u0000This study uses bibliometric analysis to examine the literature on chatbots and online shopping, aiming to develop a systematic comprehension of the research field. This study makes a valuable contribution to the current scholarly discourse and provides support for future scholars in their investigations.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919651","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 : 2024-08-12DOI: 10.1108/idd-07-2023-0081
Pawan Kumar Chand, Neha Mishra
Purpose The purpose of this study is to examines the relationship between doom-scrolling and employee performance among Generation Z working in the information technology (IT) sector in India. Design/methodology/approach The study followed a quantitative research approach with a descriptive research design. A purposive sampling technique is used in the study. A sample of 393 Generation Z employees of the IT at the locations in and around the Chandigarh region of northern India was considered in the study. The data were collected primarily through a survey questionnaire and analyzed through structural equation modeling. Findings The findings of the study reveal the significant impact of doom-scrolling on employee performance among the Gen Z of the IT sector in India. Research limitations/implications The present study has measured the direct impact of doom scrolling on employee performance. However, the possibilities of other factors such as work stress and work-life balance as mediators cannot be ruled out for an indirect relationship between doom scrolling and employee performance. Practical implications The findings of the study state that doom scrolling has a significant impact on the employee performance of Gen Z employees in the IT sector of India. Such findings will be an insight into the other service sector of India such as health care and hospitality in recognizing the pattern of behavior followed by Gen Z employees toward social media, technology and job performance. Social implications The findings will be imperative to Gen Z and other segments of the population of society also in understanding the role of addiction to social media and technology can be disruptive. Originality/value The study is useful in understanding the role of addiction to social media and technology can be disruptive. To the best of the authors’ knowledge, this research is the first of its kind to understand how doom scrolling significantly affects employee performances in the IT sector of India.
本研究的目的是探讨在印度信息技术（IT）行业工作的 Z 世代中，末日滚动与员工绩效之间的关系。研究采用了目的性抽样技术。研究选取了印度北部昌迪加尔地区及其周边地区的 393 名 Z 世代 IT 员工作为样本。数据主要通过调查问卷收集，并通过结构方程模型进行分析。研究结果研究结果显示，末日滚动对印度 IT 行业 Z 世代员工的绩效有显著影响。研究局限/意义本研究测量了末日滚动对员工绩效的直接影响。实际意义研究结果表明，末日滚动对印度 IT 行业 Z 世代员工的绩效有显著影响。这些发现将有助于印度其他服务行业（如医疗保健和酒店业）了解 Z 世代员工在社交媒体、技术和工作绩效方面的行为模式。社会影响研究结果对于 Z 世代和社会其他人群了解沉迷社交媒体和技术的破坏性作用也很有必要。就作者所知，本研究是首次了解滚动新闻如何显著影响印度 IT 行业员工绩效的同类研究。
{"title":"Detached effects of doom scrolling on Generation Z employee performance in the Indian information technology sector","authors":"Pawan Kumar Chand, Neha Mishra","doi":"10.1108/idd-07-2023-0081","DOIUrl":"https://doi.org/10.1108/idd-07-2023-0081","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examines the relationship between doom-scrolling and employee performance among Generation Z working in the information technology (IT) sector in India.\u0000\u0000\u0000Design/methodology/approach\u0000The study followed a quantitative research approach with a descriptive research design. A purposive sampling technique is used in the study. A sample of 393 Generation Z employees of the IT at the locations in and around the Chandigarh region of northern India was considered in the study. The data were collected primarily through a survey questionnaire and analyzed through structural equation modeling.\u0000\u0000\u0000Findings\u0000The findings of the study reveal the significant impact of doom-scrolling on employee performance among the Gen Z of the IT sector in India.\u0000\u0000\u0000Research limitations/implications\u0000The present study has measured the direct impact of doom scrolling on employee performance. However, the possibilities of other factors such as work stress and work-life balance as mediators cannot be ruled out for an indirect relationship between doom scrolling and employee performance.\u0000\u0000\u0000Practical implications\u0000The findings of the study state that doom scrolling has a significant impact on the employee performance of Gen Z employees in the IT sector of India. Such findings will be an insight into the other service sector of India such as health care and hospitality in recognizing the pattern of behavior followed by Gen Z employees toward social media, technology and job performance.\u0000\u0000\u0000Social implications\u0000The findings will be imperative to Gen Z and other segments of the population of society also in understanding the role of addiction to social media and technology can be disruptive.\u0000\u0000\u0000Originality/value\u0000The study is useful in understanding the role of addiction to social media and technology can be disruptive. To the best of the authors’ knowledge, this research is the first of its kind to understand how doom scrolling significantly affects employee performances in the IT sector of India.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919208","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 : 2024-08-12DOI: 10.1108/idd-07-2023-0081
Pawan Kumar Chand, Neha Mishra
Purpose The purpose of this study is to examines the relationship between doom-scrolling and employee performance among Generation Z working in the information technology (IT) sector in India. Design/methodology/approach The study followed a quantitative research approach with a descriptive research design. A purposive sampling technique is used in the study. A sample of 393 Generation Z employees of the IT at the locations in and around the Chandigarh region of northern India was considered in the study. The data were collected primarily through a survey questionnaire and analyzed through structural equation modeling. Findings The findings of the study reveal the significant impact of doom-scrolling on employee performance among the Gen Z of the IT sector in India. Research limitations/implications The present study has measured the direct impact of doom scrolling on employee performance. However, the possibilities of other factors such as work stress and work-life balance as mediators cannot be ruled out for an indirect relationship between doom scrolling and employee performance. Practical implications The findings of the study state that doom scrolling has a significant impact on the employee performance of Gen Z employees in the IT sector of India. Such findings will be an insight into the other service sector of India such as health care and hospitality in recognizing the pattern of behavior followed by Gen Z employees toward social media, technology and job performance. Social implications The findings will be imperative to Gen Z and other segments of the population of society also in understanding the role of addiction to social media and technology can be disruptive. Originality/value The study is useful in understanding the role of addiction to social media and technology can be disruptive. To the best of the authors’ knowledge, this research is the first of its kind to understand how doom scrolling significantly affects employee performances in the IT sector of India.
本研究的目的是探讨在印度信息技术（IT）行业工作的 Z 世代中，末日滚动与员工绩效之间的关系。研究采用了目的性抽样技术。研究选取了印度北部昌迪加尔地区及其周边地区的 393 名 Z 世代 IT 员工作为样本。数据主要通过调查问卷收集，并通过结构方程模型进行分析。研究结果研究结果显示，末日滚动对印度 IT 行业 Z 世代员工的绩效有显著影响。研究局限/意义本研究测量了末日滚动对员工绩效的直接影响。实际意义研究结果表明，末日滚动对印度 IT 行业 Z 世代员工的绩效有显著影响。这些发现将有助于印度其他服务行业（如医疗保健和酒店业）了解 Z 世代员工在社交媒体、技术和工作绩效方面的行为模式。社会影响研究结果对于 Z 世代和社会其他人群了解沉迷社交媒体和技术的破坏性作用也很有必要。就作者所知，本研究是首次了解滚动新闻如何显著影响印度 IT 行业员工绩效的同类研究。
{"title":"Detached effects of doom scrolling on Generation Z employee performance in the Indian information technology sector","authors":"Pawan Kumar Chand, Neha Mishra","doi":"10.1108/idd-07-2023-0081","DOIUrl":"https://doi.org/10.1108/idd-07-2023-0081","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examines the relationship between doom-scrolling and employee performance among Generation Z working in the information technology (IT) sector in India.\u0000\u0000\u0000Design/methodology/approach\u0000The study followed a quantitative research approach with a descriptive research design. A purposive sampling technique is used in the study. A sample of 393 Generation Z employees of the IT at the locations in and around the Chandigarh region of northern India was considered in the study. The data were collected primarily through a survey questionnaire and analyzed through structural equation modeling.\u0000\u0000\u0000Findings\u0000The findings of the study reveal the significant impact of doom-scrolling on employee performance among the Gen Z of the IT sector in India.\u0000\u0000\u0000Research limitations/implications\u0000The present study has measured the direct impact of doom scrolling on employee performance. However, the possibilities of other factors such as work stress and work-life balance as mediators cannot be ruled out for an indirect relationship between doom scrolling and employee performance.\u0000\u0000\u0000Practical implications\u0000The findings of the study state that doom scrolling has a significant impact on the employee performance of Gen Z employees in the IT sector of India. Such findings will be an insight into the other service sector of India such as health care and hospitality in recognizing the pattern of behavior followed by Gen Z employees toward social media, technology and job performance.\u0000\u0000\u0000Social implications\u0000The findings will be imperative to Gen Z and other segments of the population of society also in understanding the role of addiction to social media and technology can be disruptive.\u0000\u0000\u0000Originality/value\u0000The study is useful in understanding the role of addiction to social media and technology can be disruptive. To the best of the authors’ knowledge, this research is the first of its kind to understand how doom scrolling significantly affects employee performances in the IT sector of India.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919673","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 : 2024-08-12DOI: 10.1108/idd-10-2023-0129
Umair Ahmed, Muhammad Saeed, Shah Jamal Alam
Purpose This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan. Design/methodology/approach Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag. Findings Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization. Originality/value This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.
{"title":"The role of suspicious accounts in setting political discourse: a study of the Pakistani Twitter space","authors":"Umair Ahmed, Muhammad Saeed, Shah Jamal Alam","doi":"10.1108/idd-10-2023-0129","DOIUrl":"https://doi.org/10.1108/idd-10-2023-0129","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan.\u0000\u0000\u0000Design/methodology/approach\u0000Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag.\u0000\u0000\u0000Findings\u0000Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization.\u0000\u0000\u0000Originality/value\u0000This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919663","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 : 2024-08-12DOI: 10.1108/idd-10-2023-0129
Umair Ahmed, Muhammad Saeed, Shah Jamal Alam
Purpose This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan. Design/methodology/approach Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag. Findings Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization. Originality/value This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.
{"title":"The role of suspicious accounts in setting political discourse: a study of the Pakistani Twitter space","authors":"Umair Ahmed, Muhammad Saeed, Shah Jamal Alam","doi":"10.1108/idd-10-2023-0129","DOIUrl":"https://doi.org/10.1108/idd-10-2023-0129","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore the use and impact of social media, specifically Twitter (now X), in political mobilization in Pakistan. It focuses on the events followed by the no-confidence motion against Imran Khan as Pakistan’s prime minister in April 2022 and the protest campaign that ensued, facilitated through the strategic use of the Urdu hashtag #امپورٹڈ_حکومت_نامنظور (translated as “imported-government unacceptable”) on Twitter, both within and outside Pakistan.\u0000\u0000\u0000Design/methodology/approach\u0000Using Web scraping, data from Twitter was extracted and analyzed between 2022 and 2023. By probing into user account profiles and interactions with this hashtag, this paper investigates the claims surrounding the hashtag’s popularity, by identifying suspicious accounts and their contributions in the trending of the hashtag.\u0000\u0000\u0000Findings\u0000Findings suggest that the claim of the hashtag's unprecedented success was overhyped, further suggesting that the popularity and impact of the social media campaign were exaggerated. Despite high engagement rates, the study indicates a discrepancy between perceived influence and actual impact on public sentiment and political mobilization.\u0000\u0000\u0000Originality/value\u0000This paper contributes to the literature on social media’s role in political mobilization and agenda-setting in the Pakistani context. More generally, understanding hashtag dynamics and their impact on shaping public opinion, may be beneficial to academics and practitioners in better understanding the role of digital platforms in the politics.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919198","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 : 2024-07-17DOI: 10.1108/idd-09-2023-0101
Jinal Shah, I. Bhat, Suma Gundugola
Purpose Hybrid learning has become a reality due to the onslaught of the COVID-19 pandemic. Students world over had to switch to this new learning format. This study aims to analyze the impact of innovation attributes of the Unified Theory of Acceptance and User Technology (UTAUT2) model and community of inquiry (COI) framework on the hybrid learning experience and the continued intention for it. Design/methodology/approach Using a cross-sectional research design, the study has adapted a scale from past studies and collected data using purposive sampling from the student community. The research has used the structural equation modeling technique using SMART-PLS to study the hypothesized relationships. Findings The study’s findings are that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, teaching presence, cognitive presence and social presence influence hybrid learning experience and continued intention. Further hybrid learning experience mediates the continued intention. Practical implications This study has several academic and practical implications for improving the hybrid learning experience. Various stakeholders can get insights on improving the user’s desire to pursue learning in a hybrid environment. Originality/value Hybrid learner experience is an upcoming area of research and yet unexplored in India as well as in other countries. A new hybrid experience model was developed by extending the UTAUT2 to include the COI framework and learner experience frameworks.
{"title":"Unraveling the post-adoptive hybrid learning experience: perspectives from information systems","authors":"Jinal Shah, I. Bhat, Suma Gundugola","doi":"10.1108/idd-09-2023-0101","DOIUrl":"https://doi.org/10.1108/idd-09-2023-0101","url":null,"abstract":"Purpose\u0000Hybrid learning has become a reality due to the onslaught of the COVID-19 pandemic. Students world over had to switch to this new learning format. This study aims to analyze the impact of innovation attributes of the Unified Theory of Acceptance and User Technology (UTAUT2) model and community of inquiry (COI) framework on the hybrid learning experience and the continued intention for it.\u0000\u0000Design/methodology/approach\u0000Using a cross-sectional research design, the study has adapted a scale from past studies and collected data using purposive sampling from the student community. The research has used the structural equation modeling technique using SMART-PLS to study the hypothesized relationships.\u0000\u0000Findings\u0000The study’s findings are that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, teaching presence, cognitive presence and social presence influence hybrid learning experience and continued intention. Further hybrid learning experience mediates the continued intention.\u0000\u0000Practical implications\u0000This study has several academic and practical implications for improving the hybrid learning experience. Various stakeholders can get insights on improving the user’s desire to pursue learning in a hybrid environment.\u0000\u0000Originality/value\u0000Hybrid learner experience is an upcoming area of research and yet unexplored in India as well as in other countries. A new hybrid experience model was developed by extending the UTAUT2 to include the COI framework and learner experience frameworks.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639802","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 : 2024-07-16DOI: 10.1108/idd-09-2023-0104
Umesh Chawla, Balraj Verma, Amit Mittal
Purpose This study aims to delve into the intricate world of small retailers in India, seeking to understand the impediments/barriers they encounter when trying to embrace online-to-offline (O2O) platforms. It also investigates the potential impact of the digital ecosystem in moderating these barriers. Design/methodology/approach Data from 426 Indian retailers was collected, and structural equation modelling was used to validate the conceptual framework. Findings The findings highlight the importance of addressing distrust and technological anxiety as key barriers to O2O platform adoption. Psychological risk, low-tech orientation, privacy risk, financial risk and social risk were also identified as barriers. Interestingly, performance risk and infrastructure were found to be insignificant in this study. The study indicates that the digital ecosystem does moderate the relationship between psychological risk, performance risk, distrust and technological anxiety with attitude. Research limitations/implications This research holds significant implications for technology adoption, retail management and aggregator platform development in developing nations, notably India. This research draws upon a conceptual framework to deepen the understanding of the O2O technology platform by providing an all-inclusive overview. Originality/value This study breaks new ground by investigating the distinctive obstacles to O2O adoption faced by small retailers in India. By validating the digital ecosystem’s moderating effect, this research yields insights that are context-specific and particularly relevant to the Indian retail landscape. Valuable guidance is offered for researchers, practitioners and policymakers navigating O2O strategy implementation in emerging markets.
{"title":"Unveiling barriers to O2O technology platform adoption among small retailers in India: insights into the role of digital ecosystem","authors":"Umesh Chawla, Balraj Verma, Amit Mittal","doi":"10.1108/idd-09-2023-0104","DOIUrl":"https://doi.org/10.1108/idd-09-2023-0104","url":null,"abstract":"Purpose\u0000This study aims to delve into the intricate world of small retailers in India, seeking to understand the impediments/barriers they encounter when trying to embrace online-to-offline (O2O) platforms. It also investigates the potential impact of the digital ecosystem in moderating these barriers.\u0000\u0000Design/methodology/approach\u0000Data from 426 Indian retailers was collected, and structural equation modelling was used to validate the conceptual framework.\u0000\u0000Findings\u0000The findings highlight the importance of addressing distrust and technological anxiety as key barriers to O2O platform adoption. Psychological risk, low-tech orientation, privacy risk, financial risk and social risk were also identified as barriers. Interestingly, performance risk and infrastructure were found to be insignificant in this study. The study indicates that the digital ecosystem does moderate the relationship between psychological risk, performance risk, distrust and technological anxiety with attitude.\u0000\u0000Research limitations/implications\u0000This research holds significant implications for technology adoption, retail management and aggregator platform development in developing nations, notably India. This research draws upon a conceptual framework to deepen the understanding of the O2O technology platform by providing an all-inclusive overview.\u0000\u0000Originality/value\u0000This study breaks new ground by investigating the distinctive obstacles to O2O adoption faced by small retailers in India. By validating the digital ecosystem’s moderating effect, this research yields insights that are context-specific and particularly relevant to the Indian retail landscape. Valuable guidance is offered for researchers, practitioners and policymakers navigating O2O strategy implementation in emerging markets.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141643213","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 : 2024-07-10DOI: 10.1108/idd-02-2024-0030
Anath Rau Krishnan
Purpose Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method. Design/methodology/approach The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter. Findings The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability. Originality/value No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.
{"title":"Research trends in criteria importance through intercriteria correlation (CRITIC) method: a visual analysis of bibliographic data using the Tableau software","authors":"Anath Rau Krishnan","doi":"10.1108/idd-02-2024-0030","DOIUrl":"https://doi.org/10.1108/idd-02-2024-0030","url":null,"abstract":"Purpose\u0000Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method.\u0000\u0000Design/methodology/approach\u0000The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter.\u0000\u0000Findings\u0000The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability.\u0000\u0000Originality/value\u0000No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659805","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 : 2024-07-05DOI: 10.1108/idd-10-2023-0119
A. Subaveerapandiyan, R. Vijay Kumar, S. Prabhu
Purpose This research investigates students’ information-seeking behaviours at the Indian Maritime University (IMU) and assesses the impact of AI chatbots on their marine science knowledge and awareness. The study aims to provide insights into the role of AI-driven solutions in enhancing knowledge sharing and the challenges faced in using AI tools for marine information retrieval. Design/methodology/approach The study used a stratified random sampling method, encompassing 152 respondents from IMU’s B.Sc. in Nautical Science and B. Tech in Marine Engineering programs. Data collection involved a structured electronic survey questionnaire. The analysis encompassed descriptive statistics using SPSS. Findings Information needs were met through diverse channels, with 57.9% of respondents using AI-driven chatbots for marine information retrieval. AI significantly recommended research papers (61.8%). The chatbot positively impacted marine science awareness and knowledge, with a mean satisfaction rating of approximately 3.3. Challenges included insufficient access to AI tools, data privacy concerns and accuracy issues. Originality/value This study contributes original insights into the information-seeking behaviours of marine students at IMU and the impact of AI chatbots on their knowledge and awareness. It highlights the multifaceted nature of marine information retrieval, the effectiveness of AI-driven solutions in enhancing knowledge sharing and the challenges that need to be addressed for the broader adoption of AI tools in this context.
{"title":"Marine information-seeking behaviours and AI chatbot impact on information discovery","authors":"A. Subaveerapandiyan, R. Vijay Kumar, S. Prabhu","doi":"10.1108/idd-10-2023-0119","DOIUrl":"https://doi.org/10.1108/idd-10-2023-0119","url":null,"abstract":"Purpose\u0000This research investigates students’ information-seeking behaviours at the Indian Maritime University (IMU) and assesses the impact of AI chatbots on their marine science knowledge and awareness. The study aims to provide insights into the role of AI-driven solutions in enhancing knowledge sharing and the challenges faced in using AI tools for marine information retrieval.\u0000\u0000Design/methodology/approach\u0000The study used a stratified random sampling method, encompassing 152 respondents from IMU’s B.Sc. in Nautical Science and B. Tech in Marine Engineering programs. Data collection involved a structured electronic survey questionnaire. The analysis encompassed descriptive statistics using SPSS.\u0000\u0000Findings\u0000Information needs were met through diverse channels, with 57.9% of respondents using AI-driven chatbots for marine information retrieval. AI significantly recommended research papers (61.8%). The chatbot positively impacted marine science awareness and knowledge, with a mean satisfaction rating of approximately 3.3. Challenges included insufficient access to AI tools, data privacy concerns and accuracy issues.\u0000\u0000Originality/value\u0000This study contributes original insights into the information-seeking behaviours of marine students at IMU and the impact of AI chatbots on their knowledge and awareness. It highlights the multifaceted nature of marine information retrieval, the effectiveness of AI-driven solutions in enhancing knowledge sharing and the challenges that need to be addressed for the broader adoption of AI tools in this context.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675692","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：