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This paper mainly aims to explore the AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext and Small SEO Tools Plagiarism Checker and provides a comparative study about the features and benefits.

This study provides a check list for AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext and Small SEO Tools Plagiarism Checker according to the features and limitations.

After the analysis, it is found that DupliChecker scans up to 1,000 words per check; Scribbr, authorized partner of Turnitin, scans up to paid bases; Quetext offers free 500-word plagiarism and Small SEO Tools scans up to 1,000 words per check. The limitations noted are as follows: Dupli Checker provides limited checks per month, Quetext offers limited free scan and Small SEO Tools have limited features compared to other options.

This study shows the comparative study of AI Plagiarism online tools and is very useful for researchers and learners. The value of this study is to improve the user’s experience and performance of AI plagiarism.

This study shows the comparative study of AI Plagiarism online tools and is very useful for researchers and learners. This study finds out the user experience and awareness accessibility about the performance of open AI plagiarism feature and function.

This study investigates the influence of augmented reality (AR) on consumer behavior and decision-making in the context of retail. By developing a conceptual framework that highlights AR’s distinct characteristics and its contribution to the theme of human-centricity and resilience, this research explores the cognitive and affective responses triggered by AR experiences and their subsequent impact on consumer choices.

The study employs a comprehensive literature review approach, delving into the intricate relationships between AR, consumer behavior and decision-making. Through the exploration of factors such as interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings, the study develops a nuanced understanding of the mechanisms underlying AR’s effects.

The study aligns with the contemporary focus on human-centeredness and resilience in the digital age. It reveals that interactive and vivid AR experiences significantly enhance consumer enjoyment and influence decision-making processes. Furthermore, the study uncovers how individual traits and contextual factors shape consumer responses to AR, shedding light on the broader landscape of consumer behavior.

While acknowledging limitations in generalizability and potential publication bias, this study offers a fresh perspective by accounting for moderating effects and situational contexts. Future research directions might involve longitudinal studies to capture evolving trends in the dynamic realm of AR in retail.

Businesses and marketers have the opportunity to utilize the knowledge acquired from this study to effectively integrate AR technologies into their customer engagement strategies, thereby promoting a customer-centric approach in their operations. The results emphasize the utmost importance of creating AR experiences that align with user preferences and provide meaningful interaction, ultimately leading to the development of sustainable consumer decisions in the digital age.

Distinct from existing literature, this study contributes to the theme of human-centricity and resilience by examining the influence of AR on consumer behavior. This contribution enriches discussions on sustainable consumer choices in the digital era. Employing a comprehensive literature review approach, we explore key factors including interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings. This approach deepens our understanding of AR’s influence on consumer behavior, presenting a valuable addition to the field.

Workplace spirituality is presently a prominent research topic and is gaining recognition and importance among industry professionals and academicians. Workplace spirituality is defined as a sense of community, meaningful work and organizational values. The purpose of this research paper is to investigate the relationship between workplace spirituality and mental health, wherein employee engagement is considered as a mediator. Furthermore, this study examines the mediating role of employee engagement in the relationship between organizational justice and mental health.

Data were gathered from 344 information technology professionals working in India. Structural equation modelling was used to evaluate the model fit of workplace spirituality and its relationship to employee engagement, organizational justice and mental health.

The results revealed that workplace spirituality and organizational justice significantly and positively predict employee engagement, which is significantly related to employee mental health. The results also revealed that employee engagement significantly partially mediates the relationship between workplace spirituality and mental health as well as the relationship between organizational justice and mental health.

Results of research guide HR professionals, employee mental health concerns can be addressed by promoting workplace spirituality, improving employee engagement strategies and implementing organizational justice policies that are perceived to be fair. This study makes a significant contribution to the extant literature regarding mental health issues in the IT sector.

Findings of this research contribute to the area of human resource management and employee engagement. The current study fills a gap in the extant literature by investigating employee engagement intervening mechanism between organizational justice, workplace spirituality and mental health.

The aim of the present study is to perform bibliometric analysis on available literature on the subject of cultural diversity in the tourism sector. The Scopus database is used to retrieve the research article data and 133 articles were fetched over a period of 33 years (1988–2021). The further analysis is performed using and Biblioshiny tool package of R programming language and VOSviewer. The findings for study not only reveal the trends of publications but also produced the information on most influential authors, journals, and universities which are actively contributing to the subject of cultural diversity in tourism. Various network graphs are also generated using software to draw meaningful conclusions. The present study will not only aid future investigators in understanding the past developments on the subject of cultural diversity in tourism but also help industry professionals in formulating better strategies and tactics keeping in mind the cultural dimension of tourism. The present study is a maiden attempt to perform the bibliometric analysis on the subject of cultural diversity in tourism.

This study aims to investigate the effect of monetary policy transmission on the use-based classification of manufacturing industries in India, an integral aspect influencing the overall economic growth of the nation.

The empirical study applies a panel autoregressive distributed lag model to examine the relationship/association between monetary policy transmission mechanism and the output of manufacturing industries in the long run and short run.

In the long run, the findings reveal a negative association between money supply and manufacturing industries’ output, indicating that an increase in money supply corresponds to a decrease in manufacturing output. Conversely, a positive relationship is observed between manufacturing industries’ output and banks’ credit, indicating that an increase in bank credit leads to a corresponding increase in manufacturing output. In the short run, the results highlight a significant positive relationship between manufacturing output and monetary policy transmission variables, including money supply, statutory liquidity ratio, real exchange rate and foreign direct investment. The use-based classification of manufacturing industries such as primary goods, capital goods and intermediate goods exhibits greater responsiveness to monetary policy shocks than consumer durables and non-durables goods.

Policymakers are advised to regulate credit expansion to support the industry without risking financial instability, with key recommendations including stimulating consumer demand and adopting sector-specific policies to promote sustainable growth across diverse manufacturing sectors.

India, being a developing economy, efficient monetary policy transmission is crucial for boosting manufacturing output and employment. Nevertheless, there has been a scarcity of research concentrated on this pivotal intersection. This study aims to fill that gap, providing fresh insights into how monetary policy affects the growth of the manufacturing industry.

This study aims to uncover and develop explicit knowledge of existing smart communities (SCs) to guide services and business solutions for enterprises and serve community users in a well-thought-out manner. These sagacious frameworks will assist in analyzing trends and reaching out to pre-existing setups with different degrees of expertise.

A systematic overview is provided in this paper to unify insights and competencies toward building SCs; a hybrid analytical approach is used consisting of machine learning and bibliometric analysis. Scopus and Web of Science (WoS) are the primary databases for this purpose.

SCs implement cutting-edge technologies to enhance mobility, elevating information and communication technology (ICT) skills and data awareness while improving business processes and efficiency. This system of SC is an evolution of the conventional method. It provides a foundation for intelligent community services based on individual users and technologies such as the Internet of Things (IoT), artificial intelligence, cloud computing and big data. Manufacturing-based, service-based, retail-based, resource management and infrastructure-based SCs exist in the literature.

The paper summarizes a conceptual framework of SCs based on existing works around SCs. To the best of the authors’ knowledge, this is the first systematic literature review that uses a hybrid approach of topic modeling and bibliometric analysis to understand SCs better.

The COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.

The current study identifies the focus areas of the research conducted on the COVID-19 pandemic. Abstracts of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.

Based on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.

While similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Despite the increasing demand for renewable energy (RE) as a low-carbon energy source, the transition to RE is very slow in many regions, including Oman, the case country for this study. It is critical to offer strategic insights to energy supply chain participants towards the sustainable transition to renewable energy (STRE). The purpose of this study is to identify viable RE sources in Oman as a case study of a GCC member country, develop a comprehensive framework of STRE, and suggest future research opportunities.

The paper addressed this problem through a country/regional study of Oman by conducting a systematic literature review (SLR) of RE-related peer-reviewed publications spanning over 21 years from January 2000 to February 2021. The qualifying articles are evaluated using template analysis qualitatively to identify viable renewable energy sources, build a holistic framework of STRE and recommend future research opportunities.

Findings confirm the potential of solar, wind, biomass and geothermal energies driven by environmental, economic and social sustainability concerns. However, results suggest that to fast-track the STRE, more emphasis should be accorded to solar and wind energies owing to the geographical composition of Oman. Findings reveal that policies and regulations, advanced and cost-effective technologies, subsidy regimes, grid connectivity and capacity, storage capacity and land availability influence the STRE. Gaps in the literature are identified from the results to clarify and suggest future research opportunities.

To the best of the authors’ knowledge, this is the first study that conducted an SLR that was evaluated using the template analysis technique to build a novel and updated framework that facilitates a crystalline understanding of STRE to guide policymakers and professionals in strategic decision-making.

The purpose of this paper is to study the comparative analysis between three hybrid nanofluids flow past a permeable stretching surface in a porous medium with thermal radiation. Uniform magnetic field is applied together with heat source and sink. Three set of different hybrid nanofluids with water as a base fluid having suspension of Copper-Aluminum Oxide (Cu−Al2O3), Silver-Aluminum Oxide (Ag−Al2O3) and Copper-Silver (Cu−Ag) nanoparticles are considered. The Marangoni boundary condition is applied.

The governing model of the flow is solved by Runga–Kutta fourth-order method with shooting technique, using appropriate similarity transformations. Temperature and velocity field are explained by the figures for many flow pertinent parameters.

Almost same behavior is observed for all the parameters presented in this analysis for the three set of hybrid nanofluids. For increased mass transfer wall parameter ( fw) and Prandtl Number (Pr), heat transfer rate cuts down for all three sets of hybrid nanofluids, and reverse effect is seen for radiation parameter (R), and heat source/sink parameter ( δ).

The thermal conductivity of hybrid nanofluids is much larger than the conventional fluids; thus, heat transfer efficiency can be improved with these fluids and its implications can be seen in the fields of biomedical, microelectronics, thin-film stretching, lubrication, refrigeration, etc.

The current analysis is to optimize heat transfer of three different radiative hybrid nanofluids ( Cu−Al2O3/H2O, Ag−Al2O3/H2O and Cu−Ag/H2O) over stretching surface after applying heat source/sink with Marangoni convection. To the best of the authors’ knowledge, this work is new and never published before.