Search results

The study's main purpose is to scrutinize Google Scholar profiles and find the answer to the question, “Do authors play fair or manipulate Google Scholar Bibliometric Indicators like h-index and i10-index?”

The authors scrutinized the Google Scholar profiles of the top 50 library and science researchers claiming authorship of 21,022 publications. The bibliographic information of all the 21,022 publications like authorship and subject details were verified to identify accuracy, discrepancies and manipulation in their authorship claims. The actual and fabricated entries of all the authors along with their citations were recorded in the Microsoft Office Excel 2007 for further analyses and interpretation using simple arithmetic calculations.

The results show that the h-index of authors obtained from the Google Scholar should not be approved at its face value as the variations exist in the publication count and citations, which ultimately affect their h-index and i10 index. The results reveal that the majority of the authors have variations in publication count (58%), citations (58%), h-index (42%) and i10-index (54%). The magnitude of variation in the number of publications, citations, h-index and i10-index is very high, especially for the top-ranked authors.

The scope of the study is strictly restricted to the faculty members of library and information science and cannot be generalized across disciplines. Further, the scope of the study is limited to Google Scholar and caution needs to be taken to extend results to other databases like Web of Science and Scopus.

The study has practical implications for authors, publishers, and academic institutions. Authors must stop the unethical research practices; publishers must adopt techniques to overcome the problem and academic institutions need to take precautions before hiring, recruiting, promoting and allocating resources to the candidates on the face value of the Google Scholar h-index. Besides, Google needs to work on the weak areas of Google Scholar to improve its efficacy.

The study brings to light the new ways of manipulating bibliometric indicators like h-index, and i10-index provided by Google Scholar using false authorship claims.

The purpose of this paper is to raise awareness among tourism and business scholars and professionals to avoid using socially constructed academic artifacts (such as “Silaturrahim”), which do not describe their real meanings but reflect false realities constructed by scholars over a period of time. In the last decade, academic research on identifying false information has played a significant role to raise awareness among electronic and social media users so that they may distinguish between false and true reality. In contrast, studies on misleading devices, such as false information reporting and citations in published academic literature, and their pejorative consequences are rare and scant. This paper, therefore, viewed the underexamined and relatively obscure issues of false information reporting and citations in published business and tourism research by highlighting a wrongly perceived concept “Silaturrahim” from the theoretical lens of social constructionism. It has been established that factors like false information, false information citation chains and falsely attributed meanings of academic artifacts pave the way for myths and urban legends which in turn formulate socially constructed academic artifacts. These artifacts are impulsively entrusted by the academic community but, in reality, their meanings are socially constructed, therefore, represent false realities. This paper calls the experts to invest their time and efforts to further explore the proposed concepts of “academic social construction” and “academic social artifacts.” Lastly, it is suggested to develop strategies to minimize or eradicate the dreadful psychological impacts of “academic social construction” on academic communities.

A previous paper by the present author described the pros and cons of using the three largest cited reference enhanced multidisciplinary databases and discussed and illustrated in general how the theoretically sound idea of the h‐index may become distorted depending on the software and the content of the database(s) used, and the searchers' skill and knowledge of the database features. The aim of this paper is to focus on Google Scholar (GS), from the perspective of calculating the h‐index for individuals and journals.

A desk‐based approach to data collection is used and critical commentary is added.

The paper shows that effective corroboration of the h‐index and its two component indicators can be done only on persons and journals with which a researcher is intimately familiar. Corroborative tests must be done in every database for important research.

The paper highlights the very time‐consuming process of corroborating data, tracing and counting valid citations and points out GS's unscholarly and irresponsible handling of data.

Research organisations and individual researchers increasingly choose to share their research findings by providing lists of their published works on the World Wide Web. To facilitate the exchange of ideas, the lists often include links to published papers in portable document format (PDF) or Postscript (PS) format. Generally, these publication Web sites are updated regularly to include new works. While manual monitoring of relevant Web sites is tedious, commercial search engines and information monitoring systems are ineffective in finding and tracking scholarly publications. Analyses the characteristics of publication index pages and describes effective automatic extraction techniques that the authors have developed. The authors’ techniques combine lexical and syntactic analyses with heuristics. The proposed techniques have been implemented and tested for more than 14,000 Web pages and achieved consistently high success rates of around 90 percent.

The purpose of this paper is to show that scholars who choose not to use a well-established or acknowledged transliterated subject term, and instead decide for themselves to use synonyms, further complicate the process of doing comprehensive searches and greatly limit the ability to retrieve many pertinent works. In the research into world religions, there are transliterated words of a religious concept that can be used as subject terms. However, scholars in world religions have often not chosen the transliterated word, and instead have adopted words they believe are adequate synonyms of the transliterated word and use them to categorize their professional work. This paper shows how this practice severely lessens the ability to retrieve all pertinent work and causes problems for both world religion scholars wishing to perform comprehensive searches and librarian cataloger deciding on the proper subject terms to include in the construction of citations.

The Buddhist transliterated term into English “sunyata” and the scholarly created, synonymous English subject terms “emptiness”, “nothingness”, “voidness” and “openness” were searched in an international database of religious and theological works. The lists of retrieved Buddhist works were then compared to see if the results of each independent search were identical.

There is a very low rate of overlapping retrieval of Buddhist works when the term “sunyata” and each of the scholarly created synonyms are searched independently of each other. The use of scholar-created, synonymous subject terms instead of the transliterated term has greatly diminished comprehensive retrievals.

There is a paucity of articles concerning the negative effects of scholarly created, synonymous search terms in general, and in world religions in particular. These results present the dangers of this practice.

Writers on library automation such as Borko and Lancaster foresee an end to human‐based indexing and classification. They anticipate a time when users will be able to direct their subject enquiries at machine‐held files of keywords extracted automatically from the ‘natural uncontrolled language of the document’. Borko considers that this will allow the user ‘to identify a few relevent items from among many thousands and display them on the video screen in seconds’. This paper reviews these claims, and then examines a genuine case where the computer followed the procedures proposed by these teachers. It also considers how a measure of vocabulary control, based on recommendations in some recent national and international standards, would have avoided the entirely irrelevant output produced by the machine.

There is a statutory obligation for pharmaceutical companies to record reports of adverse reactions to their drugs. The storage and retrieval of these reports, within an operating post‐coordinate information retrieval system poses a number of problems due to their multidimensional nature. The use of links and roles to solve this problem is proscribed on economic grounds and so a system, currently being developed, is described using ‘generic role indicators’ as a primary device for preventing false drops followed by a rapid visual sort using an intermediate file on cards. Considerable time savings have been achieved by the unification of retrieval sources.

Previous studies have reached inconsistent conclusions on foreign direct investment (FDI) technology spillovers and corporate innovation. The main purpose of this paper is to explore the technological spillover effects of FDI from the microperspective of firm linkages induced by geographic distance. Further analysis is conducted on the impact and mechanism of this spillover on the innovation quality of Chinese enterprises. The conclusions drawn from this paper can guide Chinese enterprises' foreign capital utilization and innovation strategy choices.

Using the data of China's A-share listed companies from 2009 to 2019, this paper explores the role of FDI technology spillover in enterprise innovation quality through a two-way fixed-effect model. The robustness of the results is proven by substituting variables, adding industry fixed effects and excluding high-profit groups, and further using the two-stage least squares (2SLS) method to alleviate the empirical endogeneity problem.

These findings indicate that FDI technology spillover based on geographic proximity has a positive impact on the innovation quality of Chinese enterprises. However, there are different impacts for different types of enterprises. FDI technology spillover has a positive impact on the innovation quality of non-state-owned enterprises (non-SOEs) and small- and medium-sized enterprises (SMEs), while it has no effect on state-owned enterprises (SOEs) and large enterprises. The authors also find that the degree of financing constraints and R&D investment are important transmission mechanisms between FDI technology spillover and enterprise innovation quality.

This study ignores industry characteristics when considering foreign enterprises around Chinese enterprises. In fact, technology spillover effects differ across industries. When the authors matched microdata to regions, only the provincial level was considered. Therefore, there is still room for further research. In future research, the authors should consider industry characteristics and group foreign enterprises and Chinese enterprises in the same industry and in different industries to explore industry differences in technology spillover. In addition, when matching corporate data to regions, the authors can match to the city level and draw city-level conclusions.

This study is different from previous studies that focus on the quantity of enterprise innovation or innovation output. The authors focus on the role of technological spillovers in the quality of Chinese enterprise innovation, enriching research in the field of enterprise innovation quality. In addition, the current FDI technology spillover indicators are technically difficult to measure at the micro level. The authors draw inspiration from the theory of the geographical structure of financial supply and combine the creation methods of macro and micro indicators in existing articles in other fields. The authors ingeniously construct a new FDI technical spillover indicator. This indicator combines the commonly used regional FDI technology spillover with the geographic proximity of enterprises at the microlevel by constructing an interaction term between the two. This indicator not only alleviates the endogeneity problem to a certain extent but also has implications for future research in the field of FDI technology spillovers at the micro level.

(1) FDI technology spillovers are an effective way to improve the innovation quality of local enterprises, especially for non-SOEs and SMEs. Therefore, The authors suggest that in the context of dual circulation, the Chinese government should continue to open wider to the outside world and encourage foreign enterprises to invest in China. (2) In future development, managers of SOEs and large enterprises should create an innovation incentive mechanism. Moreover, they should change their vertical management structure and make full use of their policy advantages and budget advantages to increase innovation activities. In the process of acquiring technology spillovers, enterprises need to solve their own financing constraints.

First, this study solves a technical problem. It is technically difficult to measure the current FDI technical spillover indicators at the micro level. This study innovatively constructs a new FDI technology spillover indicator that combines regional FDI technology spillovers with the microperspective of the geographical proximity of enterprises. This approach not only alleviates certain endogeneity problems in the empirical evidence but also enriches relevant research in the field of technology spillover. In addition, this study focuses on the impact and mechanism of this spillover, which addresses the current research gap among previous studies that mainly focus on innovation quantity and ignore innovation quality.

This study aims to investigate Sri Lankan Government university students’ acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the unified theory of acceptance and use of technology 2 (UTAUT2) model as the primary theoretical lens, this study incorporated personal innovativeness as both a dependent and moderating variable to understand students’ ChatGPT use behaviour.

This quantitative study used a questionnaire survey to collect data. A total of 500 legitimate undergraduates from 17 government universities in Sri Lanka were selected for this study. Items for the variables were adopted from previously validated instruments. Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4 was used to investigate latent constructs’ relationships. Furthermore, the variables’ relative relevance was ranked using a two-stage artificial neural network analysis with the SPSS 27 application.

The results of the analysis revealed that eight of the nine proposed hypotheses were confirmed. The most significant determinants of behavioural intention were habit and performance expectancy, closely followed by hedonic motivation and perceived ease of use. Use behaviour was highly influenced by both behavioural intention and personal inventiveness. Though personal innovativeness (PI) was suggested as a moderator, the relationship was not significant.

The research highlights the impact of habit, performance expectancy and perceived ease of use on students’ acceptance of AI applications such as ChatGPT, emphasising the need for efficient implementation techniques, individual variations in technology adoption and continuous support and training to improve students’ proficiency.

This study enhances the comprehension of how undergraduate students adopt ChatGPT in an educational setting. The study emphasises the significance of certain variables in the UTAUT2 model and the importance of PI in influencing the adoption of ChatGPT in educational environments.