95 research outputs found

    Improving job performance through social media : the mediating role of transactive memory capability

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    This research examines the effects of socialmedia use on job performance, transactivememory capability (TMC) and the role of transactive memory capability as a mediator between job performance and social media use. The study is conducted on the teaching faculty member in the North of India's public universities. A snowball sampling has been employed, and 608 respondents who met the study's selection criteria have been identified. The hypothesis and numerous interactions between variables of this study were tested using Structural Equation Modeling. It has been found that social media has a significant and positive impact on job performance. This study has also indicated a partial mediating role of TMC in the relationship between social media use and job performance. The study adds to the empirical literature by demonstrating the positive effects of social media use by the teaching faculty on TMC development and job performance. It highlights that social media can be considered a legitimate communication tool to increase workplace connectivity. Faculties should understand how social media generates transactive memory capability so that they can use it more effectively. It also fills the gap by considering TMC among teaching faculties working together to store, retrieve and share data through social media in Indian Public universities.peer-reviewe

    A systematic literature review of the risk landscape in Fintech

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    The current study is primarily concerned with the developments in financial technology, or fintech, that have significantly altered traditional financial systems, focusing on several risk categories that have emerged in the financial technology sector’s digital ecosystem. This paper is a review of existing literature related to the risk landscape in fintech, particularly its publication trend, journal productivity, impact, affiliated organizations, and related themes. A bibliometric and content analysis of 84 articles collected through Scopus’ structured database is performed for a comprehensive review. It is revealed that financial technology development has decreased physical crime while simultaneously increasing cybercrime. Another challenge is the asymmetrical technology between financial markets and the relevant supervisors. These current issues necessitate the creation of an Act on Fintech to create a comprehensive legislative framework. The present study’s findings are helpful for academia and industry to aid their existing knowledge about fintech and associated risks, particularly its timeline, geographical spread, and development of coherent themes.peer-reviewe

    Price discovery mechanism and volatility spillover between national agriculture market and national commodity and derivatives exchange : the study of the Indian agricultural commodity market

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    Agricultural commodity markets are critical to the global economy. This study investigates the price discovery mechanism, lead-lag relationship, and volatility spillover between spot prices on the National Agriculture Market (E-NAM) and futures and spot prices on the National Commodity and Derivative Exchange (NCDEX) in the Indian agricultural commodity market. The Johansen Cointegration, Vector Error Correction (VEC), Granger causality tests, and bivariate GARCH models were applied to daily data from April 2016 to December 2020 for twelve agricultural commodities traded on the E-NAM and NCDEX. We discovered the long-run relationship using the Johansen Cointegration test and concluded that the NCDEX spot and futures market is dominant in the price discovery mechanism, and the NCDEX futures and spot markets lead the E-NAM spot prices having a unidirectional or bidirectional relationship. Furthermore, the bivariate GARCH model suggested a volatility spillover from E-NAM spot prices to NCDEX futures and spot markets for most commodities, except for bajra, barley, and jeera, which have no volatility spillover. The study’s findings have important implications for various stakeholders, including policymakers, farmers, investors, traders, and others who want to reduce price risks by using information from the E-NAM market’s spot prices.peer-reviewe

    Entrepreneurship in India's handicraft industry with the support of digital technology and innovation during natural calamities

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    This research aimed to identify the characteristics that either foster or stifle digital innovation and entrepreneurship amongst small businesses operating in the Handicraft industry during times of economic downturn. In the eyes of young Indian craft entrepreneurs, digital technology is essential for surviving the crisis and would help, for the most part, the artisanal and handmade goods market and the entrepreneurial spirit. Fifty owners of online handicraft businesses, all of whom held unique craft skills, were interviewed using a qualitative technique, and the researcher then utilized inductive (qualitative) content analysis to draw out common threads from the transcripts. The findings showed that the Pandemic's internal and external factors encourage the movement of handicraft businesses to digital platforms, fostering entrepreneurship and digital innovation. The respondents identified several obstacles, including a lack of available high-quality digital infrastructures, the spread of pandemics, market worries over digital platforms, and the lack of knowledge and IT skills required to run an online business. The article's findings contribute to the growing body of digital information on novel approaches to entrepreneurship and suggest avenues for carrying out quantitative research toward the end of creating aid programmes for proprietors of handmade goods enterprises during economic downturns. This could serve as a standard against which new policies and tactics for reviving the economy and expanding the handmade goods industry through technological and entrepreneurial ingenuity can be measured.peer-reviewe

    Thematic analysis of financial technology (Fintech) influence on the banking industry

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    The synthesis of technology and finance is known as financial technology (Fintech), which brings together two of the biggest industries in harmony. Fintech disruption is a deviation from the norm, resulting in a significant shift in banking services and, as a result, risk. This article aims to investigate how Fintech has influenced recent changes in the banking industry and upcoming challenges, with a particular emphasis on blockchain technology. We perform a comprehensive thematic analysis of recent studies on Fintech in the banking industry. We found that Fintech has enormous potential to grow and impact the banking industry and the entire world. The banking industry could benefit from combining emerging technologies such as blockchain, AI, machine learning, or other decision-making layers. However, with the benefits come drawbacks, such as increased reliance on technology, high costs, increased job losses, security risks related to data and fraud, and so on. The use of emerging technology and collaboration between Fintech firms and banks can improve system-wide financial stability while minimising the negative externalities of disruption and competition. These findings can help regulators, policymakers, academics, and practitioners understand the opportunities and challenges of emerging technologies in the banking industry.peer-reviewe

    Anaerobic infections in patients admitted in various surgical units of a tertiary care hospital of north India: neglected but important

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    Background and Objectives: Anaerobic infections are usually caused by the host’s endogenous flora due to a breach in the anatomical barriers and Bacteroides spp. are the most notorious organisms associated with anaerobic infections. The identification of anaerobes has been a challenge since times. MALDI-TOF-MS is a boon for aiding the rapid detection of anaerobic organisms and has helped us to enlist the distribution of various anaerobic pathogens. Materials and Methods: This retrospective analysis (January 2018 to December 2019) was carried out in a tertiary care hospital in North India, in which the anaerobic microbiological profile of all patients admitted to surgical wards, ICU, and OPD of various departments (Orthopedics, Surgery, Gynecology, and Obstetrics) was reviewed. Samples received were immediately processed aerobically (5% sheep blood agar and Mac Conkeyagar) as well as anaerobically (RCM and freshly prepared sheep blood agar) as per the laboratory protocols. Results: Bacteroides fragilis (19.12%) was the most common anaerobe whereas among aerobes Escherichia coli (30.2%) followed by Klebsiella pneumoniae (10.34%) were most commonly isolated. The majority of patients were males (56%) and the most common presentation was with abscesses (21.4%). Polymicrobial infections (69.51%) outnumbered monomicrobial ones (30.48%). Conclusion: There is a paucity of literature on anaerobe isolation from surgical infections from our country which motivated us to study anaerobic infections and the high sample size in our institute enabled us to study surgical infections from an anaerobic perspective. This will add to the knowledge of microbiologists and clinicians. MALDI-TOF MS helped in rapid and accurate identification and hence we could report a wider spectrum of organisms in our study

    The AGP model for risk management in agile I.T. projects

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    The vast majority of articles on risk in agile-managed projects fail to adequately address the interplay between the agile methodology, the risk management process, and the elements that ultimately determine the success or failure of the project. Too frequently, processes and models are given undue priority over the human element. The aim of this article is to create a risk management model for agile I.T. projects (AGP model). The study sample consists of 1868 valid survey responses from European and Asian countries received between February 2022 and January 2023. We subjected the data to Exploratory Factor Analysis (EFA) and Cronbach’s alpha to identify four key factors for dealing with risks in I.T. projects and create the AGP model. The proposed AGP model outlines up to 76% variability in the potential risks that could arise during an I.T. project’s deployment. The findings of this study are critical for project managers, I.T. professionals, developers, and system architects involved in I.T. projects. Other stakeholders may be interested in understanding the risks associated with the project and developing strategies to mitigate these risks.peer-reviewe
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