{"title":"Redefining research metrics: Introducing the inverse-H-index and efficacy equation in scholarly publication analysis","authors":"Fuyi Wei , Mengjia Yuan , Le Yang , Hong Zhu","doi":"10.1016/j.dim.2025.100100","DOIUrl":"10.1016/j.dim.2025.100100","url":null,"abstract":"<div><div>The exploratory study examines the distribution of scholarly publications and citations within a geometric Graph-H framework, focusing on identifying and addressing gaps in the distribution matrix. Additionally, the paper introduces the economic concept of paper publications. Utilizing the geometric principles foundational to the original H-index, this study proposes the inverse-H-index as a metric to quantify discrepancies between citation counts and optimal capacity. Based on this quantified framework, the paper introduces an efficacy concept and equation to evaluate the effectiveness of researchers in achieving their H-index values through their publications and citations. The validity of this equation is assessed through Pearson testing and validation using datasets from Clarivate's report. By comparing the H-index, inverse-H-index, and efficacy measures across different groups of scholars, this study finds that the proposed equation effectively captures researchers' publication activities and identifies attributes not highlighted by the traditional H-index.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 4","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468769","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}
Pedro Teixeira , Leonor Teixeira , Samuel Silva , Celeste Eusébio
{"title":"Technology-based approaches for accessible tourism: Using personas to understand stakeholders’ characteristics and motivations","authors":"Pedro Teixeira , Leonor Teixeira , Samuel Silva , Celeste Eusébio","doi":"10.1016/j.dim.2025.100095","DOIUrl":"10.1016/j.dim.2025.100095","url":null,"abstract":"<div><div>Accessible tourism intends to provide opportunities for people with disabilities to experience tourism activities without constraints. The enhancement of accessible tourism conditions can be facilitated by integrating technology. Notwithstanding, there is great difficulty in understanding the stakeholders of the accessible tourism market, as converting requirements into tangible system functionalities is a complex task. Additionally, it is often necessary to use a multidisciplinary team to overcome logistical constraints to reach the target audience, making the process of creating technologies for this market more challenging. This article aims to explore a user-centered design approach to collect and systematize data in a way that can be useful to support development processes, culminating in the proposal of a set of Personas. The outcomes of a combination of data collection methods (interviews, questionnaires, and focus groups) led to the creation of nine Personas. With these representations, it was possible to establish a common language to fully convey requirements, illustrating the needs and motivations of different groups of stakeholders. The combination of methods leads to the proposal of an assistive solution named access@tour by action. The findings of this study could be used as guidelines to support the creation of future accessible technological innovations, especially in the scope of accessible tourism.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 4","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521275","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":"Doctor-patient or patient-patient interaction? Relationships and differences of their roles in influencing patient satisfaction in online health communities","authors":"Yaqi Huang , Wenhao Wang , Junjie Zhou","doi":"10.1016/j.dim.2025.100098","DOIUrl":"10.1016/j.dim.2025.100098","url":null,"abstract":"<div><div>Exploring patients’ satisfaction with online health communities (OHCs) is essential to understanding how OHCs can empower patients. Existing studies primarily investigated the role of external support, while this study explores how doctor-patient (DP) and patient-patient (PP) interactions influence patient satisfaction, with a particular emphasis on intrinsic motivation. Additionally, it investigates the relationships and differences between DP and PP interactions. This study conceptualized patient empowerment as perceived control (PC), perceived support (PS), and shared decision-making (SDM). We developed a model with eight hypotheses to explore these dynamics. The model was tested using structural equation modeling with 470 valid samples, as well as a qualitative post-hoc analysis to provide additional evidence. The empirical results indicate that both DP and PP interactions directly and indirectly influence patient satisfaction, with PC, PS, and SDM acting as mediating factors. DP interaction has a stronger impact on SDM compared to PP interaction, whereas PP interaction has a stronger influence on PC and PS than DP interaction. Our findings reveal that PC, PS, and SDM play a partial mediating role between user interactions and patient satisfaction. DP interaction has a greater influence on patients through SDM, while PP interaction has a greater effect on patients through PC and PS. These insights clarify the distinct roles and impacts of DP and PP interactions on patient satisfaction and offer valuable guidance for the effective operation of OHCs.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 4","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520921","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":"Reforming the SERVQUAL model for accommodation sharing services: A mixed-method approach","authors":"Wenlong Liu , Yashuo Yuan , Yi Jiang , Jian Mou","doi":"10.1016/j.dim.2025.100102","DOIUrl":"10.1016/j.dim.2025.100102","url":null,"abstract":"<div><div>Shared accommodation has seen robust growth with the advancement of the platform economy. With the growing participation of non-professional service deliverers (i.e., property owners) in this field, service quality and customer satisfaction are currently facing challenges. Leveraging the SERVQUAL model, this research investigates the factors that determine customers' continuance intention (CI) to reuse this type of accommodation. A mixed-method approach is used, in which text analysis is first conducted to identify the dimensions constituting the reformed SERVQUAL model in the accommodation sharing context. Thereafter, a survey-based empirical analysis is carried out to examine the impact of the SERVQUAL dimensions. In the text analysis, 29,787 online reviews on accommodation sharing services from <span><span>Ctrip.com</span><svg><path></path></svg></span> were collected. After word segmenting and high-frequency word coding using the Jieba package of Python and NVivo 12 plus, eight dimensions of SERVQUAL for accommodation sharing services were extracted: necessities, complementarity, reliability, empathy, assurance, responsiveness, authenticity, and similarity. In the empirical study, the results based on 588 valid samples show that all dimensions identified in this research have either direct or indirect impacts on consumers’ CI. The research findings hold great theoretical and practical significance.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 4","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521276","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":"Evils of knowledge sharing and learning: The case of agri-food misinformation in virtual communities of practices in Sri Lanka","authors":"Kasuni Sachithra Illesinghe Kankanamge, Ataharul Chowdhury, Khondokar Humayun Kabir, Nasir Abbas Khan","doi":"10.1016/j.dim.2024.100090","DOIUrl":"10.1016/j.dim.2024.100090","url":null,"abstract":"<div><div>The emergence of virtual communities through social and online media has raised concerns regarding the dissemination of misinformation and its local and global impact on socioeconomic and political changes. Although numerous studies have been conducted on this topic in other domains, the extent to which misinformation affects the agri-food industry remains largely unexplored. This research aimed to fill this gap by investigating the prevalence and impact of misinformation in two popular Sri Lankan virtual communities of practice (VCoPs): Krushi Arunodaya and Turmeric, Ginger, Pepper & Cinnamon Cultivators’ and Buyers’ Association. Through qualitative research consisting of 16 key information interviews with group administrators and members, the study discovered that agricultural misinformation is rampant in Sri Lankan agri-food VCoPs, polarizing members on crucial topics such as organic farming, GMOs, and chemical fertilizers. The perception of misinformation and its dissemination is influenced by cultural, political, and societal factors, as well as individual personality traits and the need for self-expression. However, those with media literacy, knowledge, and experience are better suited to identify and avoid misinformation. The research also found that traditional media is involved in promoting agenda-based campaigns alongside social media and internet-based platforms. VCoP members recommended reporting and blocking as primary countermeasures to combat misinformation. Multi-stakeholder interventions by government, media, agricultural organizations, and VCoP moderators are necessary to prevent agri-food misinformation in Sri Lanka. Additionally, media agencies and experts should act responsibly in disseminating accurate information.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144919999","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}
Xiling Cui , Xuan Yang , Jifan Ren , Paul Benjamin Lowry
{"title":"Corrigendum to “Enhancing team creativity among information technology professionals through knowledge sharing and motivational rewards: A self-determination perspective” [Data and Information Management 9/2 (2025) 100075]","authors":"Xiling Cui , Xuan Yang , Jifan Ren , Paul Benjamin Lowry","doi":"10.1016/j.dim.2024.100091","DOIUrl":"10.1016/j.dim.2024.100091","url":null,"abstract":"","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920000","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":"What motivates knowledge sharing? Evaluating the quality of answer contribution in online Q&A communities","authors":"Jiang Wu , Zhoucan Xu , Qian Huang , Jingxuan Cai","doi":"10.1016/j.dim.2024.100086","DOIUrl":"10.1016/j.dim.2024.100086","url":null,"abstract":"<div><div>The Online Q&A community provides platforms for Internet users to exchange and share knowledge. Its rapid development has caused the problem of information overload, which promotes users' demand for precise and personalized information. In light of this, we innovatively analyze the correlation between knowledge quality and user behaviors. First, we propose a novel approach method to evaluate the answer quality through a machine learning approach, which applies the information adoption theory to the design of a text classification model. Hereafter, with applications of motivation crowding theory, this paper introduces the classification results of answer quality by machine learning algorithms into the empirical research model to explore the factors that motivate users in both participation and high-quality user-generated content creation. Results show that both extrinsic and intrinsic factors determine the quality of knowledge contributors' answers. Further, certain external interventions (monetary rewards) can crowd out the effects of knowledge contributors’ intrinsic motivations (knowledge self-efficacy). It enriches the research on user knowledge contribution behavior in online Q&A communities and also provides theoretical guidance and suggestions for community operation.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920198","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":"Automated thematic dictionary creation using the web based on WordNet, Spacy, and Simhash","authors":"Ahmet Toprak, Metin Turan","doi":"10.1016/j.dim.2024.100088","DOIUrl":"10.1016/j.dim.2024.100088","url":null,"abstract":"<div><div>Dictionary is helpful tool for most of the context-based Natural Language Processing researches. The words in the language dictionary establish the context coverage for a specific application area. In the study, a novel model is proposed to generate thematic dictionary using the web resources. The model gets the benefit of different text similarity algorithms to enhance dictionary coverage and increase its internal similarity. For example, in order to create a financial dictionary, algorithm was started with a general seed word “finance”. Web search was executed with this word, and the top three web pages returned by the web search engine were processed. The words in the contents of these web pages were ranked according to their meaning values using the term frequency-inverse document frequency metric. Then, selected words were initially inserted into three different dictionaries which were controlled by WordNet, Spacy, and Simhash text similarity algorithms separately. All of these words added into these dictionaries were used for further web search again together. This process (search and dictionary update) of the algorithm was repeated for each dictionary separately until each reaches to the upper count of words (250 words have been set). Finally, these three dictionaries are merged to form the final financial dictionary. This financial dictionary was compared with the manually created financial dictionary in terms of quality. Consequently, the internal WordNet similarity rate of the words in the automatic financial dictionary was 29.01%, while it was 23.41% in the manual financial dictionary. For the similarity measure of both dictionaries, when the words were merged in the automatic and manual dictionaries into full texts and evaluated both in terms of Simhash similarity, then 72.30% similarity was obtained. It was seen that although both dictionaries produce almost similar words, the automatic dictionary had stronger internal semantic representation.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920200","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":"Good to great: The impact of interdisciplinarity on the researchers’ funding performance","authors":"Xiaohui Liu, Guiyan Ou, Chuanfu Chen","doi":"10.1016/j.dim.2025.100094","DOIUrl":"10.1016/j.dim.2025.100094","url":null,"abstract":"<div><div>Interdisciplinary research (IDR) has been highly encouraged in modern science as it is believed to bring forth scientific breakthroughs. However, it is widely believed that engaging in IDR may not favorably impact a researcher's career development. This study seeks to explore whether top researchers encounter similar pessimistic outlooks when participating in IDR. Accordingly, this study focuses on funded applicants, who presumably demonstrate a degree of excellence above those who were not awarded funding to some extent. Specifically, our study was designed to explore the impact of interdisciplinarity on individual-sponsored funding based on the dataset of the National Natural Science Foundation of China (NSFC). Our data set obtained from the NSFC comprises 224,085 records of funded projects between 1999 and 2014, encompassing all scientific departments from the NSFC system. We analyzed the relationship between the researcher's interdisciplinarity and their funding performance. Moreover, we examined the influential role that various factors played in moderating the link between interdisciplinarity and individual-sponsored funding such as the experience of granter, affiliation reputation, and affiliation disciplinary advantage. The results showed a positive effect of interdisciplinarity on researchers' funding performance. Individuals with a higher degree of interdisciplinarity tended to receive a greater number of funded projects and higher funding values. Additionally, the experience of granter, affiliation reputation, and affiliation disciplinary advantage all played a positive moderating role in this relationship. This study fills essential lacunae in our understanding of support systems for interdisciplinary research within China's grant-giving framework. It further provides significant insights into the connection between interdisciplinary researchers and their funding outcomes.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920212","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":"Thanking the World: Exploring gender-based differences in acknowledgment patterns and support systems in theses","authors":"Manika Lamba , Hendrik Erz","doi":"10.1016/j.dim.2024.100092","DOIUrl":"10.1016/j.dim.2024.100092","url":null,"abstract":"<div><div>Research on acknowledgment sections of scientific papers has gained significant attention, but there remains a dearth of studies examining acknowledgments in the context of Electronic Theses and Dissertations (ETDs). This paper addresses this gap by investigating the sources of support for male and female researchers in completing their master's or doctoral theses, focusing on the discipline of Library and Information Science (LIS). We utilize a novel method of extracting the various types of support systems that are acknowledged in 1252 ETDs using BERT models. The most prominent forms of support acknowledged by researchers are academic, moral, financial, and religious support. While there were no significant gender-based differences in religious and financial support, the ratio of academic to moral support acknowledged by researchers showed strong gender-based variation. Additionally, advisors displayed a preference for supervising same-gender researchers. By comprehending the nuances of support systems and the unique challenges faced by researchers of different genders, we can foster a more inclusive and supportive academic environment. The insights gained from this research have implications for improving mentoring practices and promoting gender equality in academia.</div></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"9 3","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920199","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}