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Given the magnitude of the literature, a researcher must be selective of research papers and publications in general. In other words, only papers that meet strict standards of academic integrity and adhere to reliable and credible sources should be referenced. The purpose of this paper is to approach this issue from the prism of scientometrics according to the following research questions: Is it necessary to judge the quality of scientific production? How do we evaluate scientific production? What are the tools to be used in evaluation?

This paper presents a comparative study of scientometric evaluation practices and tools. A systematic literature review is conducted based on articles published in the field of scientometrics between 1951 and 2022. To analyze data, the authors performed three different aspects of analysis: usage analysis based on classification and comparison between the different scientific evaluation practices, type and level analysis based on classifying different scientometric indicators according to their types and application levels and similarity analysis based on studying the correlation between different quantitative metrics to identify similarity between them.

This comparative study leads to classify different scientific evaluation practices into externalist and internalist approaches. The authors categorized the different quantitative metrics according to their types (impact, production and composite indicators), their levels of application (micro, meso and macro) and their use (internalist and externalist). Moreover, the similarity analysis has revealed a high correlation between several scientometric indicators such as author h-index, author publications, citations and journal citations.

The interest in this study lies deeply in identifying the strengths and weaknesses of research groups and guides their actions. This evaluation contributes to the advancement of scientific research and to the motivation of researchers. Moreover, this paper can be applied as a complete in-depth guide to help new researchers select appropriate measurements to evaluate scientific production. The selection of evaluation measures is made according to their types, usage and levels of application. Furthermore, our analysis shows the similarity between the different indicators which can limit the overuse of similar measures.

This paper aims to propose a new qualitative indicator for the evaluation of the productions of researchers in any discipline.

Based on the study of existing quantitative indicators, the authors’ approach consisted of the hybridization of two indicators. This hybridization is based on the individual H_index (Hi_index) and H_index contemporary (Hc_index) weighted by qualitative factors. The initial sources of the data are online bibliographic databases, such as Google Scholar and Publish or Perish.

A new scientometric indicator was used to compare the scientific production quality of researchers and their classification (as part of a research community) as the classification of national and international research institutions. The authors have applied a new indicator to compare and classify the members of their laboratory, RIADI, according to their quality of scientific production.

The indicator is an improvement of the H_index. It is a measure that can have an impact on society (influencing research attitudes, affecting quality of research). By this contribution, the authors measure more than one aspect by involving all the external factors that can affect the quality of research.

This paper fulfils a gap in the literature concerning the absence of a qualitative indicator among the set of existing quantitative measures. Additionally, this paper addresses the limitations of the existing qualitative practices, such as peer review and citation analysis. In the new qualitative indicator, the authors involve all of these qualitative aspects: the influence of the age of the paper, the number of co-authors, the order of the co-authors, the impact factor of journals and the conference rankings.

This study aims to investigate the influence of online opinion leadership and opinion seeking the intention to purchase and purchase behaviour of organic food in Saudi Arabia.

This study used an online questionnaire as a method to collect data from Instagram users in Saudi Arabia. Statistical analysis was performed using the SmartPLS to test the research model.

The study demonstrates the links between the perceived benevolence of the opinion leadership through Instagram and purchase behaviour of organic food and between opinion seeking and intention to purchase.

This study provides insights into the favourable impact of opinion leadership and opinion seeking on consumers’ intention to purchase and purchase behaviour for marketers, especially in the organic food sector of a Middle Eastern context.

Prior studies have investigated the impact of opinion leadership and opinion seeking on purchase behaviour, but not within the organic food sector. This study attempts to fill this gap in the literature by providing useful insights to enhance the understanding of the influence of online opinion leadership on purchase behaviour of organic food. This study also makes a valuable contribution to organic food research in Middle East countries, where there is a lack of research on organic food purchase behaviour.

The increasing number of tourists in the Muslim world every year has encouraged digital business developers and the Sharia banking industry to integrate halal product and service apps with the Sharia mobile banking system. The fourth wave of the industrial revolution has changed the consumer paradigm, creating a young generation that uses digital service transaction systems in their daily lives. This paper aims to investigate the factors that determine intention to use halal tourism apps amongst Muslim tourists to provide insights promoting the development of halal tourism in Indonesia.

The research was conducted using an online survey approach. The sample comprised 205 Muslim Millennial and Generation Z travellers. The data collected were analysed using partial least square structural equation modelling. There were three analysis stages: evaluation of the measurement model, assessment of the structural model and hypothesis testing.

The findings indicated that trust mediated the relationship between perceived ease of use and perceived usefulness on individual intentions and that halal knowledge positively and significantly impacted individual intentions. In contrast, religiosity was not a significant influence on individual intentions.

The paper expanded the technology acceptance model by incorporating the key constructs of halal knowledge, religiosity and trust into an integrated research framework; this represented a novel step, especially in the context of halal tourism. The finding that trust mediated the relationship between perceived ease of use and perceived usefulness fills a gap in previous research, which has rarely included the trust construct in technology acceptance models.

The theoretical debate of corruption's impact on economic growth remains unsettled, making it an empirical question. This study aims to investigate corruption's effect on BRICS countries' economic growth.

A panel dataset on BRICS countries spanning 1996 to 2020 was used. Bias-corrected estimators in small dynamic panels were employed to estimate a growth model as a linear-quadratic function of corruption that accounts for cross-sectional dependence, endogeneity and unobserved heterogeneity due to country and time-specific characteristics.

The results indicate that corruption is detrimental to economic growth in BRICS countries; the quadratic relationship implies corruption is less prevalent in some countries than others. Thus, governments of BRICS countries are encouraged to embark on anti-corruption policies to boost their economic performance.

An important limitation of corruption studies is the difficulty in measuring real corruption experiences due to the secretive nature of corruption and the fact that corruption is known not to leave a paper trail. For the uncertainty of the index estimates, the analysis used a continuous corruption composite score measuring the standard deviation of the extent to which public power is exercised for public gain. Furthermore, estimation and inference are robust to small dynamic panels with a general form of cross-sectional dependence.