Pub Date : 2023-01-10DOI: 10.1108/ajim-05-2022-0245
Adwoa Yeboaa Owusu Yeboah, M. Kwarteng, P. Novák
PurposeSocial media marketing (SMMT) is explored in the light of value creation (VC) and firms' sustainability performance. This research deals with the influence of both value co-creation (VCCR) and value co-destruction (VCDE) on SMMT and firm sustainability.Design/methodology/approachA quantitative approach is employed in this research. By means of structural equation modeling (SEM), specifically, PLS (partial least squares)-SEM, consumers' responses are analyzed.FindingsThe result confirms that SMMT influences firms' sustainability performance. Additionally, the study established a relationship between SMMT and VCCR and SMMT and VCDE. The study further showed that VCCR contributes to sustainability. Concerning the indirect relationships, the study indicates that VCDE influenced SMMT and sustainability performance.Research limitations/implicationsA theoretical basis for studying both VCCR and VCDE is provided. The current study especially encourages further study into VCDE.Practical implicationsThis work informs businesses about using SMMT to enhance sustainability performance. This work also warns about the reality of VCDE when using SMMT.Originality/valueThis research empirically explores SMMT and firm sustainability performance (SPFM) and also has a model that includes both VCCR and VCDE.
{"title":"Social media marketing, value creation and firm's sustainability performance: a study among young consumers","authors":"Adwoa Yeboaa Owusu Yeboah, M. Kwarteng, P. Novák","doi":"10.1108/ajim-05-2022-0245","DOIUrl":"https://doi.org/10.1108/ajim-05-2022-0245","url":null,"abstract":"PurposeSocial media marketing (SMMT) is explored in the light of value creation (VC) and firms' sustainability performance. This research deals with the influence of both value co-creation (VCCR) and value co-destruction (VCDE) on SMMT and firm sustainability.Design/methodology/approachA quantitative approach is employed in this research. By means of structural equation modeling (SEM), specifically, PLS (partial least squares)-SEM, consumers' responses are analyzed.FindingsThe result confirms that SMMT influences firms' sustainability performance. Additionally, the study established a relationship between SMMT and VCCR and SMMT and VCDE. The study further showed that VCCR contributes to sustainability. Concerning the indirect relationships, the study indicates that VCDE influenced SMMT and sustainability performance.Research limitations/implicationsA theoretical basis for studying both VCCR and VCDE is provided. The current study especially encourages further study into VCDE.Practical implicationsThis work informs businesses about using SMMT to enhance sustainability performance. This work also warns about the reality of VCDE when using SMMT.Originality/valueThis research empirically explores SMMT and firm sustainability performance (SPFM) and also has a model that includes both VCCR and VCDE.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46429744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-06DOI: 10.1108/ajim-08-2022-0359
Xin Liu, Chenghu Zhang, Jiaqi Wu
PurposeThe purpose of this study is to investigate the influencing mechanism of consumers' continuous purchase intention toward the subscriber-based knowledge payment platforms (SBKPPs).Design/methodology/approachThis study obtained 226 valid samples through questionnaire surveys and used partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methods to elucidate the complex causal patterns of consumers' continuous purchase intention toward the SBKPPs.FindingsThe findings revealed that perceived utilitarian value, perceived hedonic value and perceived social value directly affected consumers' continuous purchase intention, while content quality and service quality indirectly affected consumers' continuous purchase intention. In addition, this study also demonstrated that all factors must be combined to play a role, and there exist four configurations resulting in consumers' continuous purchase intention toward the SBKPPs.Research limitations/implicationsThe results can help researchers and practitioners better understand the causal patterns of consumers' continuous purchase intention toward the SBKPPs.Originality/valueThis study contributes to the knowledge payment literature by investigating consumers' continuous purchase intention toward the SBKPPs. This study also provides practical enlightenment for the SBKPPs' marketing.
{"title":"Explaining consumers' continuous purchase intention toward subscriber-based knowledge payment platforms: findings from PLS-SEM and fsQCA","authors":"Xin Liu, Chenghu Zhang, Jiaqi Wu","doi":"10.1108/ajim-08-2022-0359","DOIUrl":"https://doi.org/10.1108/ajim-08-2022-0359","url":null,"abstract":"PurposeThe purpose of this study is to investigate the influencing mechanism of consumers' continuous purchase intention toward the subscriber-based knowledge payment platforms (SBKPPs).Design/methodology/approachThis study obtained 226 valid samples through questionnaire surveys and used partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methods to elucidate the complex causal patterns of consumers' continuous purchase intention toward the SBKPPs.FindingsThe findings revealed that perceived utilitarian value, perceived hedonic value and perceived social value directly affected consumers' continuous purchase intention, while content quality and service quality indirectly affected consumers' continuous purchase intention. In addition, this study also demonstrated that all factors must be combined to play a role, and there exist four configurations resulting in consumers' continuous purchase intention toward the SBKPPs.Research limitations/implicationsThe results can help researchers and practitioners better understand the causal patterns of consumers' continuous purchase intention toward the SBKPPs.Originality/valueThis study contributes to the knowledge payment literature by investigating consumers' continuous purchase intention toward the SBKPPs. This study also provides practical enlightenment for the SBKPPs' marketing.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48209674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-06DOI: 10.1108/ajim-05-2022-0261
Wenyi Cheng, Ruwen Tian, Dickson K. W. Chiu
PurposeAs independent travel has become increasingly popular in recent years, factors influencing users’ attitudes and behaviors should be explored. Besides, the rise of video platforms like YouTube, Bilibili and TikTok has led to the flourishing of user generated content (UGC), among which travel vlogs have become convenient and essential references for tourists before and while they travel on their own.Design/methodology/approachThis research used quantitative analysis through a survey designed for young people, as most vlog viewers are in those age groups, to explore the attitudes and perceptions of vlog preference, attitudes and cognizance of travel vlogs among different gender, guided by the decision-making theory and preference theory with 455 participants.FindingsSurvey results showed that both genders have common choices regarding travel vlog preference, attitudes, sharing and cognizance. Yet, gender differences appear in some cognition of travel vlogs and specific preferences, such as information searching habits, trusty travel and information sources.Originality/valueExisting studies focus on the influence of platforms on users, but scant studies focus on user perceptions of vlogs as a new information carrier for young people in East Asia, especially regarding gender differences, which is crucial in media-based marketing. This research provides practical suggestions to marketers and vloggers to attract and engage different genders of young people and theoretical implications on decision and preference theories.
{"title":"Travel vlogs influencing tourist decisions: information preferences and gender differences","authors":"Wenyi Cheng, Ruwen Tian, Dickson K. W. Chiu","doi":"10.1108/ajim-05-2022-0261","DOIUrl":"https://doi.org/10.1108/ajim-05-2022-0261","url":null,"abstract":"PurposeAs independent travel has become increasingly popular in recent years, factors influencing users’ attitudes and behaviors should be explored. Besides, the rise of video platforms like YouTube, Bilibili and TikTok has led to the flourishing of user generated content (UGC), among which travel vlogs have become convenient and essential references for tourists before and while they travel on their own.Design/methodology/approachThis research used quantitative analysis through a survey designed for young people, as most vlog viewers are in those age groups, to explore the attitudes and perceptions of vlog preference, attitudes and cognizance of travel vlogs among different gender, guided by the decision-making theory and preference theory with 455 participants.FindingsSurvey results showed that both genders have common choices regarding travel vlog preference, attitudes, sharing and cognizance. Yet, gender differences appear in some cognition of travel vlogs and specific preferences, such as information searching habits, trusty travel and information sources.Originality/valueExisting studies focus on the influence of platforms on users, but scant studies focus on user perceptions of vlogs as a new information carrier for young people in East Asia, especially regarding gender differences, which is crucial in media-based marketing. This research provides practical suggestions to marketers and vloggers to attract and engage different genders of young people and theoretical implications on decision and preference theories.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48329683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-05DOI: 10.1108/ajim-07-2022-0337
Rong Lin, Jung-Chieh Lee
PurposeArtificial intelligence (AI) has been widely used as a financial technology (fintech) in the mobile banking (M-banking) domain. However, in the literature, how AI affects users' perceptions of social support and the users' satisfaction and continuance intention (CI) remains unknown. To fill this gap, the two core characteristics of AI, perceived intelligence (PI) and perceived anthropomorphism (PA), are combined with social support theory (SST) (including informational support (IS) and emotional support (ES)) to develop a research model to investigate how PI and PA affect IS and ES, which in turn affect users’ M-banking satisfaction and CI.Design/methodology/approachThis study adopted a random probability sampling method to collect a total of 360 valid responses to verify the proposed model. Partial least squares (PLS) was employed for data analysis.FindingsThe results showed that PI and PA both have a significant positive impact on consumers' perception of social support (IS and ES). IS was a direct driver of satisfaction and CI. Surprisingly, although ES was positively associated with satisfaction, the study found that higher levels of ES will decrease CI. This study exposed how AI affects consumers’ satisfaction and CI through SST, and the role of AI in M-banking applications has been further confirmed.Originality/valueThis study expanded the SST to creatively integrate with AI features to reveal the impact of PI and PA on IS and ES, which in turn influence users' M-banking usage.
{"title":"The supports provided by artificial intelligence to continuous usage intention of mobile banking: evidence from China","authors":"Rong Lin, Jung-Chieh Lee","doi":"10.1108/ajim-07-2022-0337","DOIUrl":"https://doi.org/10.1108/ajim-07-2022-0337","url":null,"abstract":"PurposeArtificial intelligence (AI) has been widely used as a financial technology (fintech) in the mobile banking (M-banking) domain. However, in the literature, how AI affects users' perceptions of social support and the users' satisfaction and continuance intention (CI) remains unknown. To fill this gap, the two core characteristics of AI, perceived intelligence (PI) and perceived anthropomorphism (PA), are combined with social support theory (SST) (including informational support (IS) and emotional support (ES)) to develop a research model to investigate how PI and PA affect IS and ES, which in turn affect users’ M-banking satisfaction and CI.Design/methodology/approachThis study adopted a random probability sampling method to collect a total of 360 valid responses to verify the proposed model. Partial least squares (PLS) was employed for data analysis.FindingsThe results showed that PI and PA both have a significant positive impact on consumers' perception of social support (IS and ES). IS was a direct driver of satisfaction and CI. Surprisingly, although ES was positively associated with satisfaction, the study found that higher levels of ES will decrease CI. This study exposed how AI affects consumers’ satisfaction and CI through SST, and the role of AI in M-banking applications has been further confirmed.Originality/valueThis study expanded the SST to creatively integrate with AI features to reveal the impact of PI and PA on IS and ES, which in turn influence users' M-banking usage.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48850118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-05DOI: 10.1108/ajim-05-2022-0263
Qingqing Zhou
PurposeWith the rapid development of social media, the occurrence and evolution of emergency events are often accompanied by massive users' expressions. The fine-grained analysis on users' expressions can provide accurate and reliable information for event processing. Hence, 2,003,814 expressions on a major malignant emergency event were mined from multiple dimensions in this paper.Design/methodology/approachThis paper conducted finer-grained analysis on users' online expressions in an emergency event. Specifically, the authors firstly selected a major emergency event as the research object and collected the event-related user expressions that lasted nearly two years to describe the dynamic evolution trend of the event. Then, users' expression preferences were identified by detecting anomic expressions, classifying sentiment tendencies and extracting topics in expressions. Finally, the authors measured the explicit and implicit impacts of different expression preferences and obtained relations between the differential expression preferences.FindingsExperimental results showed that users have both short- and long-term attention to emergency events. Their enthusiasm for discussing the event will be quickly dispelled and easily aroused. Meanwhile, most users prefer to make rational and normative expressions of events, and the expression topics are diversified. In addition, compared with anomic negative expressions, anomic expressions in positive sentiments are more common. In conclusion, the integration of multi-dimensional analysis results of users' expression preferences (including discussion heat, preference impacts and preference relations) is an effective means to support emergency event processing.Originality/valueTo the best of the authors' knowledge, it is the first research to conduct in-depth and fine-grained analysis of user expression in emergencies, so as to get in-detail and multi-dimensional characteristics of users' online expressions for supporting event processing.
{"title":"Support towards emergency event processing via fine-grained analysis on users' expressions","authors":"Qingqing Zhou","doi":"10.1108/ajim-05-2022-0263","DOIUrl":"https://doi.org/10.1108/ajim-05-2022-0263","url":null,"abstract":"PurposeWith the rapid development of social media, the occurrence and evolution of emergency events are often accompanied by massive users' expressions. The fine-grained analysis on users' expressions can provide accurate and reliable information for event processing. Hence, 2,003,814 expressions on a major malignant emergency event were mined from multiple dimensions in this paper.Design/methodology/approachThis paper conducted finer-grained analysis on users' online expressions in an emergency event. Specifically, the authors firstly selected a major emergency event as the research object and collected the event-related user expressions that lasted nearly two years to describe the dynamic evolution trend of the event. Then, users' expression preferences were identified by detecting anomic expressions, classifying sentiment tendencies and extracting topics in expressions. Finally, the authors measured the explicit and implicit impacts of different expression preferences and obtained relations between the differential expression preferences.FindingsExperimental results showed that users have both short- and long-term attention to emergency events. Their enthusiasm for discussing the event will be quickly dispelled and easily aroused. Meanwhile, most users prefer to make rational and normative expressions of events, and the expression topics are diversified. In addition, compared with anomic negative expressions, anomic expressions in positive sentiments are more common. In conclusion, the integration of multi-dimensional analysis results of users' expression preferences (including discussion heat, preference impacts and preference relations) is an effective means to support emergency event processing.Originality/valueTo the best of the authors' knowledge, it is the first research to conduct in-depth and fine-grained analysis of user expression in emergencies, so as to get in-detail and multi-dimensional characteristics of users' online expressions for supporting event processing.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47395523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1108/ajim-08-2022-0353
Yanqing Shi, Hongye Cao, Si Chen
PurposeOnline question-and-answer (Q&A) communities serve as important channels for knowledge diffusion. The purpose of this study is to investigate the dynamic development process of online knowledge systems and explore the final or progressive state of system development. By measuring the nonlinear characteristics of knowledge systems from the perspective of complexity science, the authors aim to enrich the perspective and method of the research on the dynamics of knowledge systems, and to deeply understand the behavior rules of knowledge systems.Design/methodology/approachThe authors collected data from the programming-related Q&A site Stack Overflow for a ten-year period (2008–2017) and included 48,373 tags in the analyses. The number of tags is taken as the time series, the correlation dimension and the maximum Lyapunov index are used to examine the chaos of the system and the Volterra series multistep forecast method is used to predict the system state.FindingsThere are strange attractors in the system, the whole system is complex but bounded and its evolution is bound to approach a relatively stable range. Empirical analyses indicate that chaos exists in the process of knowledge sharing in this social labeling system, and the period of change over time is about one week.Originality/valueThis study contributes to revealing the evolutionary cycle of knowledge stock in online knowledge systems and further indicates how this dynamic evolution can help in the setting of platform mechanics and resource inputs.
{"title":"Order and disorder in the evolution of online knowledge community: an investigation of the chaotic behavior in social tagging systems with evidence of stack overflow","authors":"Yanqing Shi, Hongye Cao, Si Chen","doi":"10.1108/ajim-08-2022-0353","DOIUrl":"https://doi.org/10.1108/ajim-08-2022-0353","url":null,"abstract":"PurposeOnline question-and-answer (Q&A) communities serve as important channels for knowledge diffusion. The purpose of this study is to investigate the dynamic development process of online knowledge systems and explore the final or progressive state of system development. By measuring the nonlinear characteristics of knowledge systems from the perspective of complexity science, the authors aim to enrich the perspective and method of the research on the dynamics of knowledge systems, and to deeply understand the behavior rules of knowledge systems.Design/methodology/approachThe authors collected data from the programming-related Q&A site Stack Overflow for a ten-year period (2008–2017) and included 48,373 tags in the analyses. The number of tags is taken as the time series, the correlation dimension and the maximum Lyapunov index are used to examine the chaos of the system and the Volterra series multistep forecast method is used to predict the system state.FindingsThere are strange attractors in the system, the whole system is complex but bounded and its evolution is bound to approach a relatively stable range. Empirical analyses indicate that chaos exists in the process of knowledge sharing in this social labeling system, and the period of change over time is about one week.Originality/valueThis study contributes to revealing the evolutionary cycle of knowledge stock in online knowledge systems and further indicates how this dynamic evolution can help in the setting of platform mechanics and resource inputs.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":"53 8","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41245837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-22DOI: 10.1108/ajim-07-2022-0344
Yung-Shen Yen
PurposeThis study is based on the stimulus–organism–response (SOR) model to examine how job demands and technology overload affect work stress for workers using video conferencing apps (VCAs) in organizations during the COVID-19 pandemic. Moreover, the moderating effect of technology self-efficacy was tested in the model on the relationship between technology overload and work stress.Design/methodology/approachAn online survey was conducted to investigate workers on PTT forums in Taiwan. A sample was obtained of 253 workers, and structural equation modeling was conducted using AMOS to test the hypotheses.FindingsJob demands positively affect work stress through information overload, communication overload and system feature overload. Moreover, high technology self-efficacy may weaken the relationship between technology overload and work stress.Research limitations/implicationsThe study may have sample bias because our sample was obtained from an online survey on social networking sites. Regarding the theoretical implications, this study demonstrated that technology overload, as an internal organism, is a critical mediator influencing the relationship between job demands (stimulus) and work stress (response). Thus, this study extended the applicability of the SOR model in the context of working with VCAs in organizations.Practical implicationsCompany managers need to effectively control the information amount, communication interruptions and system features of social media at optimum levels for workers. Moreover, companies should recruit workers with high technology self-efficacy or provide technology training and technology-related consulting to those with low technology self-efficacy.Originality/valueThe extant work stress knowledge is extended to workers using VCAs in organizations.
{"title":"Job demands and technology overload influencing work stress in organizations during the COVID-19 pandemic","authors":"Yung-Shen Yen","doi":"10.1108/ajim-07-2022-0344","DOIUrl":"https://doi.org/10.1108/ajim-07-2022-0344","url":null,"abstract":"PurposeThis study is based on the stimulus–organism–response (SOR) model to examine how job demands and technology overload affect work stress for workers using video conferencing apps (VCAs) in organizations during the COVID-19 pandemic. Moreover, the moderating effect of technology self-efficacy was tested in the model on the relationship between technology overload and work stress.Design/methodology/approachAn online survey was conducted to investigate workers on PTT forums in Taiwan. A sample was obtained of 253 workers, and structural equation modeling was conducted using AMOS to test the hypotheses.FindingsJob demands positively affect work stress through information overload, communication overload and system feature overload. Moreover, high technology self-efficacy may weaken the relationship between technology overload and work stress.Research limitations/implicationsThe study may have sample bias because our sample was obtained from an online survey on social networking sites. Regarding the theoretical implications, this study demonstrated that technology overload, as an internal organism, is a critical mediator influencing the relationship between job demands (stimulus) and work stress (response). Thus, this study extended the applicability of the SOR model in the context of working with VCAs in organizations.Practical implicationsCompany managers need to effectively control the information amount, communication interruptions and system features of social media at optimum levels for workers. Moreover, companies should recruit workers with high technology self-efficacy or provide technology training and technology-related consulting to those with low technology self-efficacy.Originality/valueThe extant work stress knowledge is extended to workers using VCAs in organizations.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48996439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-19DOI: 10.1108/ajim-05-2022-0260
Sukjin You, Soohyung Joo, Marie Katsurai
PurposeThe purpose of this study is to explore to which extent data mining research would be associated with the library and information science (LIS) discipline. This study aims to identify data mining related subject terms and topics in representative LIS scholarly publications.Design/methodology/approachA large set of bibliographic records over 38,000 was collected from a scholarly database representing the fields of LIS and the data mining, respectively. A multitude of text mining techniques were applied to investigate prevailing subject terms and research topics, such as influential term analysis and Dirichlet multinomial regression topic modeling.FindingsThe findings of this study revealed the relationship between the LIS and data mining research domains. Various data mining method terms were observed in recent LIS publications, such as machine learning, artificial intelligence and neural networks. The topic modeling result identified prevailing data mining related research topics in LIS, such as machine learning, deep learning, big data and among others. In addition, this study investigated the trends of popular topics in LIS over time in the recent decade.Originality/valueThis investigation is one of a few studies that empirically investigated the relationships between the LIS and data mining research domains. Multiple text mining techniques were employed to delineate to which extent the two research domains would be associated with each other based on both at the term-level and topic-level analysis. Methodologically, the study identified influential terms in each domain using multiple feature selection indices. In addition, Dirichlet multinomial regression was applied to explore LIS topics in relation to data mining.
{"title":"Data mining topics in the discipline of library and information science: analysis of influential terms and Dirichlet multinomial regression topic model","authors":"Sukjin You, Soohyung Joo, Marie Katsurai","doi":"10.1108/ajim-05-2022-0260","DOIUrl":"https://doi.org/10.1108/ajim-05-2022-0260","url":null,"abstract":"PurposeThe purpose of this study is to explore to which extent data mining research would be associated with the library and information science (LIS) discipline. This study aims to identify data mining related subject terms and topics in representative LIS scholarly publications.Design/methodology/approachA large set of bibliographic records over 38,000 was collected from a scholarly database representing the fields of LIS and the data mining, respectively. A multitude of text mining techniques were applied to investigate prevailing subject terms and research topics, such as influential term analysis and Dirichlet multinomial regression topic modeling.FindingsThe findings of this study revealed the relationship between the LIS and data mining research domains. Various data mining method terms were observed in recent LIS publications, such as machine learning, artificial intelligence and neural networks. The topic modeling result identified prevailing data mining related research topics in LIS, such as machine learning, deep learning, big data and among others. In addition, this study investigated the trends of popular topics in LIS over time in the recent decade.Originality/valueThis investigation is one of a few studies that empirically investigated the relationships between the LIS and data mining research domains. Multiple text mining techniques were employed to delineate to which extent the two research domains would be associated with each other based on both at the term-level and topic-level analysis. Methodologically, the study identified influential terms in each domain using multiple feature selection indices. In addition, Dirichlet multinomial regression was applied to explore LIS topics in relation to data mining.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46302452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-19DOI: 10.1108/ajim-05-2022-0253
Tianji Jiang, Jiqun Liu
PurposeThe purpose of this paper is to understand how users behave and evaluate how systems with users are essential for interactive information retrieval (IIR) research. User study methodology serves as a primary approach to answering IIR research questions. In addition to designing user study procedures, understanding the limitations of varying study designs and discussing solutions to the limitations is also critical for improving the methods and advancing the knowledge in IIR.Design/methodology/approachGiven this unresolved gap, we apply the faceted framework developed by Liu and Shah (2019) in systematically reviewing 131 IIR user studies recently published (2016–2021) on multiple IR and information science venues.FindingsOur study achieve three goals: (1) extracting and synthesizing the reported limitations on multiple aspects of user study (e.g. recruitment, tasks, study procedures, system interfaces, data analysis methods) under associated facets; (2) summarizing the reported solutions to the limitations; (3) clarifying the connections between types of limitations and types of solutions.Practical implicationsThe bibliography of user studies can be used by students and junior researchers who are new to user-centered IR studies as references for study design. Our results can facilitate the reflection and improvement on IR research methodology and serve as a checklist for evaluating customized IIR user studies in varying problem spaces.Originality/valueTo our knowledge, this work is the first study that systematically reviews the study limitations and solutions reported by IIR researchers in articles and empirically examines their connections to different study components.
{"title":"Reflection on future directions: a systematic review of reported limitations and solutions in interactive information retrieval user studies","authors":"Tianji Jiang, Jiqun Liu","doi":"10.1108/ajim-05-2022-0253","DOIUrl":"https://doi.org/10.1108/ajim-05-2022-0253","url":null,"abstract":"PurposeThe purpose of this paper is to understand how users behave and evaluate how systems with users are essential for interactive information retrieval (IIR) research. User study methodology serves as a primary approach to answering IIR research questions. In addition to designing user study procedures, understanding the limitations of varying study designs and discussing solutions to the limitations is also critical for improving the methods and advancing the knowledge in IIR.Design/methodology/approachGiven this unresolved gap, we apply the faceted framework developed by Liu and Shah (2019) in systematically reviewing 131 IIR user studies recently published (2016–2021) on multiple IR and information science venues.FindingsOur study achieve three goals: (1) extracting and synthesizing the reported limitations on multiple aspects of user study (e.g. recruitment, tasks, study procedures, system interfaces, data analysis methods) under associated facets; (2) summarizing the reported solutions to the limitations; (3) clarifying the connections between types of limitations and types of solutions.Practical implicationsThe bibliography of user studies can be used by students and junior researchers who are new to user-centered IR studies as references for study design. Our results can facilitate the reflection and improvement on IR research methodology and serve as a checklist for evaluating customized IIR user studies in varying problem spaces.Originality/valueTo our knowledge, this work is the first study that systematically reviews the study limitations and solutions reported by IIR researchers in articles and empirically examines their connections to different study components.","PeriodicalId":53152,"journal":{"name":"Aslib Journal of Information Management","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49627540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-08DOI: 10.1108/ajim-06-2022-0293
Zhangxiang Zhu, Yaxin Zhao, Jing Wang
PurposeThis study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal distance, social distance and experiential distance.Design/methodology/approachBased on construal-level theory (CLT), this study divides online travel reviews into concrete and abstract reviews. Three experiments were conducted to test the moderating effects of temporal distance, social distance and experiential distance on the influence of review content characteristics on tourists' travel intentions.FindingsThe results show that abstract reviews would lead to higher travel intentions than concrete reviews. Furthermore, tourists' travel intentions differed depending on social distance and were significantly affected by reviews posted by reviewers similar to review recipients. In addition, the study contributes by discovering that the moderating effects of temporal distance, social distance and experiential distance were not significant, which differs from most of the previous research conclusions.Originality/valueThis study focused on review content characteristics, which provided a novel perspective for constructing online travel reviews. Furthermore, this research defined the concept of experiential distance in the context of online travel and expanded the research on psychological distance.
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