Aslib Proceedings最新文献

{"title":"Unearthing historical insights: semantic organization and application of historical newspapers from a fine-grained knowledge element perspective","authors":"Shaodan Sun, Jun Deng, Xugong Qin","doi":"10.1108/ajim-05-2023-0180","DOIUrl":"https://doi.org/10.1108/ajim-05-2023-0180","url":null,"abstract":"Purpose This paper aims to amplify the retrieval and utilization of historical newspapers through the application of semantic organization, all from the vantage point of a fine-grained knowledge element perspective. This endeavor seeks to unlock the latent value embedded within newspaper contents while simultaneously furnishing invaluable guidance within methodological paradigms for research in the humanities domain. Design/methodology/approach According to the semantic organization process and knowledge element concept, this study proposes a holistic framework, including four pivotal stages: knowledge element description, extraction, association and application. Initially, a semantic description model dedicated to knowledge elements is devised. Subsequently, harnessing the advanced deep learning techniques, the study delves into the realm of entity recognition and relationship extraction. These techniques are instrumental in identifying entities within the historical newspaper contents and capturing the interdependencies that exist among them. Finally, an online platform based on Flask is developed to enable the recognition of entities and relationships within historical newspapers. Findings This article utilized the Shengjing Times·Changchun Compilation as the datasets for describing, extracting, associating and applying newspapers contents. Regarding knowledge element extraction, the BERT + BS consistently outperforms Bi-LSTM, CRF++ and even BERT in terms of Recall and F1 scores, making it a favorable choice for entity recognition in this context. Particularly noteworthy is the Bi-LSTM-Pro model, which stands out with the highest scores across all metrics, notably achieving an exceptional F1 score in knowledge element relationship recognition. Originality/value Historical newspapers transcend their status as mere artifacts, evolving into invaluable reservoirs safeguarding the societal and historical memory. Through semantic organization from a fine-grained knowledge element perspective, it can facilitate semantic retrieval, semantic association, information visualization and knowledge discovery services for historical newspapers. In practice, it can empower researchers to unearth profound insights within the historical and cultural context, broadening the landscape of digital humanities research and practical applications.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136228894","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}

{"title":"Investigating the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic","authors":"Yi Lok Leung, Ron L.H. Chan, Dickson K.W. Chiu, Tian Ruwen","doi":"10.1108/ajim-05-2023-0177","DOIUrl":"https://doi.org/10.1108/ajim-05-2023-0177","url":null,"abstract":"Purpose Online food delivery has been prevalent in recent years worldwide, especially during the COVID-19 pandemic, and people's consumption behaviors have changed significantly. This study aims to investigate the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic and focuses on the dominant factors influencing their decision to use online food delivery platforms. Design/methodology/approach Semi-structured interviews including 14 young adults aged 18–25 living in Hong Kong were conducted to collect data about their perspectives on online food delivery platforms in five areas. This research adopted the stimulus-organism-response model (S-O-R model) to analyze how the factors influence young adult users' loyalty and satisfaction with online food delivery platforms. Findings Thematic analyses revealed that young adults were attracted to online food delivery platforms for their numerous benefits. They had a high frequency of usage and significant spending. Usability, usefulness, satisfaction and loyalty influenced young adults' behaviors on online food delivery platforms. Participants were overall satisfied with their experiences, but platforms still had room for improvement. Originality/value Few prior studies investigated the factors affecting the consumer experience and behavioral intention of online food delivery for young adults in Asia. This study contributes to understanding young adults' experiences and problems with online food delivery platforms. It provides practical insights for system engineers and designers to improve the current services and for the governments to enhance the existing regulatory loopholes.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135244339","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}

{"title":"Factors influencing customer satisfaction with AR shopping assistant applications in e-commerce: an empirical analysis utilizing text-mining techniques","authors":"Jae-Yun Ho, Gyeong Ju, Seoeui Hong, Jaeyoung An, Choong C. Lee","doi":"10.1108/ajim-03-2023-0089","DOIUrl":"https://doi.org/10.1108/ajim-03-2023-0089","url":null,"abstract":"Purpose This study investigates the key factors that influence customer satisfaction when interacting with augmented reality shopping assistance applications (ARSAPs). ARSAPs grant consumers the capability to experience products in a virtually simulated user environment before product acquisition. With the development of mobile e-commerce due to breakthroughs in smartphone and augmented reality (AR) technologies, there is an increasing potential for these emergent AR mobile services, yet there is a need for further improvement. Design/methodology/approach This study initially explored the key satisfaction factors for ARSAPs by utilizing topic modeling of a collection of actual user reviews. These factors are subsequently revisited and complemented by existing literature, and finally verified through logistic regression analysis supported by sentiment analysis. Findings This study identified the key factors that influence customer satisfaction with ARSAPs, including visuality, sense of reality, credibility, format, completeness, understandability, relevance, flexibility, response time, reliability, availability, ease of use and privacy. In particular, two additional factors (i.e. visuality and sense of reality) were newly identified as important in the context of AR, despite their previous omissions in existing literature. Originality/value This study is the first to investigate the key factors that influence customer satisfaction with ARSAPs from users' perspectives, utilizing topic modeling of a large amount of real-world data on actual user feedback. By identifying new factors (i.e. visuality and sense of reality) that were not identified in previous literature, this study provides important academic implications for a broader understanding of AR and related technologies that are essential elements of the metaverse. This study also provides valuable insights for developers and companies in the e-commerce industry on how to optimize AR applications and develop more targeted and effective marketing strategies in this field.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135326057","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}

{"title":"The role of positive online reviews in risk-based consumer behaviours: an information processing perspective","authors":"Tri Lam, Jon Heales, Nicole Hartley","doi":"10.1108/ajim-03-2023-0102","DOIUrl":"https://doi.org/10.1108/ajim-03-2023-0102","url":null,"abstract":"Purpose The continuing development of digital technologies creates expanding opportunities for information transparency. Consumers use social media to provide online reviews that are focused on changing levels of consumer trust. This study examines the effect of perceived risk that prompts consumers to search for online reviews in the context of food safety. Design/methodology/approach Commitment-trust theory forms the theoretical lens to model changes in consumer trust resulting from online reviews. Consumer-based questionnaire surveys collected data to test the structural model, using structural equation modelling (SEM). Findings The findings show when consumers perceive high levels of risk, they use social media to obtain additional product-related information. The objective, unanimous, evidential and noticeable online reviews are perceived as informative to consumers. Perceived informativeness of positive online reviews is found to increase consumers trust and, in turn, increase their purchase intentions. Originality/value The findings contribute to the knowledge of online review-based trust literature and provide far-reaching implications for information system (IS)-practitioners in business.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135871172","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}

{"title":"Assessing the informational credibility of conspiracy theories: online discussion about the Nord Stream damage","authors":"Reijo Savolainen","doi":"10.1108/ajim-01-2023-0032","DOIUrl":"https://doi.org/10.1108/ajim-01-2023-0032","url":null,"abstract":"Purpose To elaborate the picture of credibility assessment by examining how participants of online discussion evaluate the informational credibility of conspiracy theories. Design/methodology/approach Descriptive quantitative analysis and qualitative content analysis of 2,663 posts submitted to seven Reddit threads discussing a conspiracy operation, that is, the damage of the Nord Stream gas pipelines in September 2022. It was examined how the participants of online discussion assess the credibility of information constitutive of conspiracy theories speculating about (1) suspected actors responsible for the damage, (2) their motives and (3) the ways in which the damage was made. The credibility assessments focussed on diverse sources offering information about the above three factors. Findings The participants assessed the credibility of information by drawing on four main criteria: plausibility of arguments, honesty in argumentation, similarity to one's beliefs and provision of evidence. Most assessments were negative and indicated doubt about the informational believability of conspiracy theories about the damage. Of the information sources referred to in the discussion, the posts submitted by fellow participants, television programmes and statements provided by governmental organizations were judged most critically, due to implausible argumentation and advocacy of biased views. Research limitations/implications As the study focuses on a sample of posts dealing with conspiracy theories about a particular event, the findings cannot be generalized to concern the informational credibility conspiracy narratives. Originality/value The study pioneers by providing an in-depth analysis of the nature of credibility assessments by focussing on information constitutive of conspiracy theories.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350354","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}

{"title":"Technology assisted research assessment: algorithmic bias and transparency issues","authors":"Mike Thelwall, Kayvan Kousha","doi":"10.1108/ajim-04-2023-0119","DOIUrl":"https://doi.org/10.1108/ajim-04-2023-0119","url":null,"abstract":"Purpose Technology is sometimes used to support assessments of academic research in the form of automatically generated bibliometrics for reviewers to consult during their evaluations or by replacing some or all human judgements. With artificial intelligence (AI), there is increasing scope to use technology to assist research assessment processes in new ways. Since transparency and fairness are widely considered important for research assessment and AI introduces new issues, this review investigates their implications. Design/methodology/approach This article reviews and briefly summarises transparency and fairness concerns in general terms and through the issues that they raise for various types of Technology Assisted Research Assessment (TARA). Findings Whilst TARA can have varying levels of problems with both transparency and bias, in most contexts it is unclear whether it worsens the transparency and bias problems that are inherent in peer review. Originality/value This is the first analysis that focuses on algorithmic bias and transparency issues for technology assisted research assessment.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135790244","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}

{"title":"Social contagion of online physician choice: the infection and immunity mechanism","authors":"Jia Li, Shengkang Ma, David C. Yen, Ling Ma","doi":"10.1108/ajim-02-2023-0067","DOIUrl":"https://doi.org/10.1108/ajim-02-2023-0067","url":null,"abstract":"Purpose In the digital age, the spread of online behavior and real-world information leads to social contagion. This study aims to investigate the contagion phenomenon of online physician choice and then discuss its potential influence on the sub-specialization process in the healthcare service industry. In specific, this study aims to propose the basic mechanism of infection and immunity as follows – exposure to antigen may lead to an immune response, and the success of the immune response may depend on the provision of appropriate immune signaling. Design/methodology/approach Data collected from haodf.com including 4 disease types and 247 physicians from 2008 to 2015 were used to test the proposed hypotheses. Panel vector autoregression method was utilized to analyze the panel data. Findings The obtained result shows that social contagion of physician choice over disease type is salient on e-consultation platforms, indicating that physicians associated with/on haodf.com are concentrating on an even narrower type of disease. Disclosing more simple signals (physician history orders) results in more disease concentration for that physician in the future. In contrast, disclosing more detailed signals (physician-contributed knowledge or physician reviews) leads to less disease concentration. Originality/value This finding implies that physician-contributed knowledge and physician reviews may act as immune signal which will tend to trigger a success immune response. This study not only suggests managers should be careful about the double-edged sword effect of online physician choice contagion but also provides the useful approaches to promote or restrain such a contagion in a flexible way.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011383","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}

{"title":"Determining multi-dimensional motivations driving e-WOM intention and purchase intention on WeChat: the significant role of active participation","authors":"Hua Pang, Jingying Wang","doi":"10.1108/ajim-02-2023-0052","DOIUrl":"https://doi.org/10.1108/ajim-02-2023-0052","url":null,"abstract":"Purpose Building upon uses and gratifications (UG) theory and social exchange theory, the current study establishes a theoretical model to examine the underlying relationship between customer motivations, active participation and electronic word-of-mouth (e-WOM) and purchase intentions on WeChat. Design/methodology/approach The data were gathered in a web-based survey of 301 WeChat users in mainland China. To empirically verify the proposed hypotheses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed using online data. Findings Path analysis outcomes demonstrate that functional, hedonic and social motivations positively affect WeChat users' active participation. In addition, active participation significantly influences e-WOM intention while showing no correlation with purchase intention. Research limitations/implications Theoretically, this article can enrich the extant system of relevant theories and offer a fresh perspective for further research on the generation of consumers' e-WOM intention and purchase intention in the WeChat context. Practically, the research outcomes provide insight for companies on how to motivate customers to participate in online activities, which subsequently improve WeChat users' willingness in conducting e-WOM communication and making purchase decisions. Originality/value Although mobile social media could serve as an influential marketing vehicle for individuals' engagement in social and commercial activities in today's mobile-matured environment, the substantial impact of active engagement on the relationship between customer motivation and purchase intention remains insufficiently explored. The outcomes not only contribute to the current body of knowledge, but also offer several managerial guidance for companies that pay attention to mobile social media marketing in a contemporary mobile media-saturated society.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913128","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}

{"title":"Ability first or opportunity first in the m-health era? A hybrid SEM-ANN approach","authors":"Ping Li","doi":"10.1108/ajim-11-2022-0497","DOIUrl":"https://doi.org/10.1108/ajim-11-2022-0497","url":null,"abstract":"Purpose The purpose of this study is to propose and test a model to explain users’ intention to adopt m-health devices and divide the importance of antecedents for users to adopt m-health devices based on the stimulus-organism-response (S-O-R) framework. Design/methodology/approach This research conducted an online survey with m-health app users and collected 562 valid responses. A hybrid SEM-ANN approach was employed to evaluate the research model and hypotheses. Findings The results show that motivation (M), opportunity (O), and ability (A) affect users’ flow experience and loyalty and further affect their adoption intention of m-health technology. Opportunity plays a more critical role in m-health adoption intention than ability. Originality/value This study comprehensively examined the factors that affect users’ deep engagement and m-health adoption from the perspective of MOA. It used the hybrid SEM-ANN method to divide the critical role of motivation, opportunity and ability, providing a new analysis approach for studying information technology (IT) behavior.","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135825587","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}

{"title":"Web structure and influence of the Arab universities of the MENA zone (Middle East and North Africa): Visualization and analysis","authors":"Benjamín Vargas-Quesada, K. M. Al-Dwairi, Cristina Faba Pérez, F. M. Anegón","doi":"10.1108/AP-10-2012-0082","DOIUrl":"https://doi.org/10.1108/AP-10-2012-0082","url":null,"abstract":"Purpose – This article aims to display the structure and reveal the web influence of institutions in the MENA zone, in geographic terms (country) and academic terms (universities), by means of their links. Design/methodology/approach – Using search engines and webcrawlers designed to gather information about web links, in conjunction with visualization techniques and degree indicators based on social network analysis, the authors achieved their objective and found responses to a series of pertinent research questions. Findings – There is no direct relationship between the number of university websites and the number of inlinks. Linking between countries in the MENA zone obeys patterns of vicinity and geopolitics. Arab universities are interlinked following trends governed by territorial proximity. There is a strong endogamic tendency, with universities from a single country citing each other, particularly in the case of Saudi Arabia. The authors present the first ranking of web influence in the MENA zone ...","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76859393","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}