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Start-ups require a competitive advantage to integrate sustainable practices and develop organizational capabilities to thrive in dynamic business environments. However, implementation of these practices presents several ethical challenges. This study aims to quantify the influence of organizational capabilities (information technology capabilities and organizational virtues) on start-ups' competitive advantage and readiness to implement environmental, social and governance practices.

This study employed a survey design, and data were collected from 320 start-up founders and/or managers in India. The data were analyzed using Smart PLS 4.0.

The findings suggest that organizational capabilities, including information technology capabilities and organizational virtues, play an important role in enhancing start-ups' competitive advantage and readiness to implement sustainable practices. Dynamic capability mediates these relationships, while entrepreneurial orientation moderates the relationship between organizational virtues and dynamic capability.

This study has significant implications for organizations implementing sustainable business practices through the development and nurturance of organizational virtues and information technology capabilities. The study is also useful for leaders, managers and entrepreneurs in training and development, managing tradeoffs and maintaining important organizational capabilities to establish a balance between people’s concerns, the environment and profits.

Few studies have examined the role of organizational capabilities, sustainable business practices and competitive advantage in the context of start-ups. This study contributes to the literature on sustainable entrepreneurship and organizational capabilities.

This paper draws attention to the importance of Smart Human Resource Management (Smart HRM) practices in Industry 4.0. Human Capital is inevitable in the growth and development of the organization. Hence, it is germane that the companies align their HR processes with the ever-changing technological landscape to harness growth, productivity and create value. The paper illustrates the smart HR practices of Tech Mahindra and the benefits derived from them.

The paper illustrates the case of Tech Mahindra’s HR digitalization journey to transform HR processes in the era of Industry 4.0

Smart HR 4.0. implementation is vital to coping up with the challenges of Industry 4.0.. The transformation of HR processes in Tech Mahindra led to improved productivity, reduced cost, reduced manual work, smart workforce, retention of talent and competitive edge.

To match the pace of industry 4.0 and leverage its true benefit the companies should focus on automation of HR processes, make the workforce smarter and agile to drive efficiency, innovation, improve productivity, save cost and stay hyper-competitive. This paper offers insights on that how Tech Mahindra promoted the Industry 4.0 technologies in various HR functions to foster a climate of innovation, growth, and development, thereby facilitating the company to stay ahead of the curve.

Human history observed an arduous time fighting the novel infectious respiratory disease Covid-19 coronavirus, which started in Wuhan, China and spread rapidly across the globe in 2020. Economies and the countries including India around the world experienced dismay with nationwide lockdowns and the fear of the unknowing. The unforeseen circumstances enforced immediate transitions in the organizations' work environment through remote working, digital infrastructure, online collaborations and new ways of interaction. The pandemic altered the workplace trajectories in lasting ways as the employees settled into a new routine of working from home more quickly than imagined. Now, as India and many other countries slowly move beyond the crisis, there exists a need to realize the implications of the pandemic on the workplace and articulate the future of work. This article, therefore, investigates the key perceived benefits and the HR implications of the new and emerging concept of hybrid workplaces and presents an HRM framework for their successful adoption in India. The findings may prove crucial in framing new workplace norms and shaping them. Moreover, this research would provide practitioners, policymakers, business leaders and HR professionals insights about the need to review the existing workplaces and successfully roll out hybrid work models in accordance with HR strategies.

The methodology of Systematic Review of Literature (SLR) was adopted to study the key perceived benefits and the HR implications of hybrid workplaces.

The findings of the study would help business leaders, HR professionals, policymakers and researchers in developing HR policies and approaches for the adoption of the hybrid workplace as they chart the path toward the post-pandemic future.

The study stresses the HR implications of the future of work as the hybrid workplace paradigm evolves. The approach is explorative and would require quantitative validation in different sectors and countries.

The study makes a direct link between the hybrid workplaces and the impetus for the transformation of HR strategies. It also examines the changing role of the human resources (HR) functions and professionals after the pandemic.

The purpose of the paper is to prepare the hygrothermal model with fraction order theory in a mathematical aspect.

In this study, linear hygrothermoelastic theory is adopted to analyze and discuss the memory effect in a finite length hollow cylinder subjected to hygrothermal loading.

Analytical solutions of temperature, moisture and stresses are obtained in this study by using the decoupling technique and the method of Integral transform.

The paper deals with the original work based on hygrothermal response in hollow cylinder by theory of uncoupled-coupled heat and moisture.

The present work is concerned with the solution of a fractional-order thermoelastic problem of a two-dimensional infinite half space under axisymmetric distributions in which lower surface is traction free and subjected to a periodically varying heat source. The thermoelastic displacement, stresses and temperature are determined within the context of fractional-order thermoelastic theory. To observe the variations of displacement, temperature and stress inside the half space, the authors compute the numerical values of the field variables for copper material by utilizing Gaver-Stehfast algorithm for numerical inversion of Laplace transform. The effects of fractional-order parameter on the variations of field variables inside the medium are analyzed graphically. The paper aims to discuss these issues.

Integral transform technique and Gaver-Stehfast algorithm are applied to prepare the mathematical model by considering the periodically varying heat source in cylindrical co-ordinates.

This paper studies a problem on thermoelastic interactions in an isotropic and homogeneous elastic medium under fractional-order theory of thermoelasticity proposed by Sherief (Ezzat and El-Karamany, 2011b). The analytic solutions are found in Laplace transform domain. Gaver-Stehfast algorithm (Ezzat and El-Karamany, 2011d; Ezzat, 2012; Ezzat, El Karamany, Ezzat, 2012) is used for numerical inversion of the Laplace transform. All the integrals were evaluated using Romberg’s integration technique (El-Karamany et al., 2011) with variable step size. A mathematical model is prepared for copper material and the results are presented graphically with the discussion on the effects of fractional-order parameter.

Constructed purely on theoretical mathematical model by considering different parameters and the functions.

The system of equations in this paper may prove to be useful in studying the thermal characteristics of various bodies in real-life engineering problems by considering the time fractional derivative in the field equations.

In this problem, the authors have used the time fractional-order theory of thermoelasticity to solve the problem for a half space with a periodically varying heat source to control the speed of wave propagation in terms of heat and elastic waves for different conductivity like weak conductivity, moderate conductivity and super conductivity which is a new and novel contribution.

The purpose of this study is to assess the value of altmetrics or other indicators, showcasing the impact of academic output, which is seen too often correlated with the citation count.

This study considered three reputed journals of Library and Information Science (LIS) published by Elsevier. A total of 1,164 articles were found in these journals from 2016 to 2020 and the relationships between altmetric attention scores (AAS) and citations were examined. The analysis was extended to compare the grouped data set based on percentile ranks of AAS like top 50%, top 25%, top 10% and top 1%.

Using Spearman correlation analysis, the findings reveal a positive correlation between AAS and citations with different significant levels for all articles, and articles with AAS, as well as for normalized AAS in the top 50%, top 25%, top 10% and top 1% data set. For the three journals International Journal of Information Management (IJIM), Journal of Informetrics (JIF) and Library and Information Science Research (LISR), a significant positive correlation is observed across all data sets. But an unexpected result was observed: in the case of the top 50% of articles for the IJIM and JIF showed no significant correlation but the LISR journal showed a positive correlation for the whole data set. This journal though has fewer articles in comparison to the other two.

A source item that is highly cited may not be having high social media attention as reflected in the findings. This demarcates AAS with citations implying various factors on which these measurements are dependent. The study distinguishes these metrics lucidly. There is not a single guideline or uniformity in assessing the correlation found. But the problem is that the interpretation of the correlation strength affects the conclusion of the study. Moreover, this study will be a role model as a draft for librarians to select relevant journals for their libraries and will facilitate authors in the choice of the publication outlets for their papers, particularly concerning the journals that have both visibility and research impact.

The study reported devising a comprehensive tool to validate AAS as a measure of scholarly impact to include appropriate social media sources and verify its relationship with other metrics. To the best of the authors’ knowledge, this paper is the first attempt to discover the correlation between AAS and citations for the highly impactful LIS journal published by Elsevier. The empirical evidence lies in the citation and altmetric data extracted from the dimension database.

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

This study aims to present a scientometric analysis of publications related to “Augmented Reality.” In today’s Information Technology-driven era, augmented reality (A.R.) has evolved as a new immersive data source for developing knowledge combining authentic and digital images. Consequently, extensive research is going on “Augmented Reality” to discover its potential in knowledge development.

The paper analyses and emphasizes the bibliographic data of Scopus articles with a suitable search query. The study was done concerning the chronological growth of research publications, highly cited publications, productive countries, prominent journals, prolific authors and institutions, author and country co-authorship network analysis and keywords analysis. The analysis was conducted by using open-source tools such as VOSViewer, Biblioshiny and Gephi.

The study reveals that a maximum number of publications on research in “Augmented Reality” are in the form of conference proceedings and articles. A.R., Virtual reality and A.R. application are the keywords with maximum number of occurrences. A significant number of publications are done in the USA, followed by Germany in the year 2020.

This study provides a precise idea of work done in different countries, a network of co-authorship between authors and countries, publication and citation impact of authors, journals, institutions and countries, year-wise progression and trending “augmented reality” topics research. This investigation will be advantageous for researchers and stakeholders to obtain rigorous bibliographic knowledge on literature related to the topic and work accordingly for R&D activities.

Mucormycosis has evolved as a post-COVID-19 complication globally, especially in India. The research on fungus has been very primitive, and many scientific publications have been discovered. The current COVID-19 pandemic needs further investigation into this unusual fungal infection. This review study aims to provide a pen-picture to researchers, science policymakers and scientists about different bibliometric indicators related to the research literature on mucormycosis.

The quantitative research was conducted using the established procedure of bibliometric investigation on data collected from Scopus from 2011 to 2020 using a validated search query. The search query consisted of keywords “Mucormycosis” or “Mucormycoses” or “Mucormycose” or “Mucorales Infection” or “Mucorales Infections” or “Black Fungus Infection” or “Black Fungus Infections” or “Zygomycosis” in the “Title-Keyword-Abstract” search option for data extraction. The analysis of data is performed using MS-Excel. Mapping was done with state-of-the-art visualization tools Biblioshiny and VOSviewer, using bibliometric indicators as units of analysis.

The analysis reveals that the first publication on this topic was reported from 1923 onwards. In total, 9,423 authors contributed 1,896 papers with 11,437 collaborated authors, documents per author are 0.201, authors per document are 4.97 and co-authors per document are 6.03. Total records were published in 779 journals in the English language from 75 countries globally. Mucormycosis literature is mostly open access, with 1,210 publications available via different open access routes. The highest number of articles (204) published in the journal “Mycoses” with 1,333 authors received 4,875 cited references, and the h-index has 24. The growth of publications is exponential, as depicted by the Price Law. The USA has recorded a maximum number of publications at both country and institutional levels compared to the other nations. There has been extensive research on mucormycosis before the outbreak as a post-COVID complication, as indicated by the highest number of publications in 2019.

The research hot spots have altered from “Mucormycosis,” “fungi,” “Zygomycosis” and “Drug efficacy”, “Drug Safety” to “Microbiology,” “Pathology,” “nucleotide sequence,” “surgical debridement” which indicates that potential area of research in the near future will be concerned with more extensive research in mucormycosis to develop standard treatment procedures to fight this infection. The quantity of scientific publications has also increased over time. The research and health community are called upon to join forces to activate existing knowledge, generate new insights and develop decision-supporting tools for health authorities in different nations to leverage vaccination in its transformational role toward successfully attaining nil cases of COVID-19.

The analysis of collaboration, findings, the research networks and visualization makes this study novel and separates from traditional metrics analysis. To the best of the authors’ knowledge, this work is original, and no similar studies have been found with the objectives included here.

Individuals often look up to external influencers (leaders) that determine their conduct and form their perception regarding organizational policies and practices which constitute their organizational climate. The importance of organizational climate has been realized off late in various job outcomes among doctors, such as commitment, turnover, etc. Therefore this study aims to investigate the relationship of ethical leadership with organizational climate that may further affect the commitment of doctors in Indian hospitals.

An empirical study has been done in 10 public and private Indian hospitals using a questionnaire survey. Data were collected from a sample of 537 doctors, which were further analyzed statistically using structural equation modeling (SEM) through AMOS and SPSS software.

The results show a significant influence of ethical leadership on organizational climate and organizational climate further has significant relationship with commitment of doctors in Indian hospitals.

The study has important implication for hospital administration, to identify and place an ethical leadership team at the top, which will further influence the behavior of the followers (doctors). This will further lead to formation of favorable organizational climate fostering commitment in doctors.

This is one of the few studies that determines the relationship of ethical leadership with organizational climate and it's further influence on commitment of doctors in large (500 beds and above) public and private hospitals in Indian context.