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Examining the facilitators of I4.0 practices to attain stakeholders collaboration: a circular perspective
The fourth industrial revolution (I4.0) has changed the traditional business model, bringing various benefits, including increased efficiency and productivity in organizations. However, to attain success in I4.0 practices requires collaboration from various stakeholders. This study objectives to identify the facilitators of I4.0 practices that can lead to successful collaboration among stakeholders from a circular perspective. An extensive literature review is performed to identify 14 potential facilitators. Further, the study adopts a mixed methodology of Best-Worst Method (BWM) and Interpretive Structural Modeling (ISM) to analyze the interconnectedness among the identified facilitators. BWM method was used to determine the relative importance of the identified facilitators, while ISM technique was used to determine the relationships between the facilitators of I4.0 practices. The findings from the study reveal that to strengthen stakeholder collaboration, organizations need to focus more on training and capacity-building programs and create more opportunities for technology exchange. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Analyzing the Inter-relationships of Business Recovery Challenges in the Manufacturing Industry: Implications for Post-pandemic Supply Chain Resilience
The COVID-19 pandemic brought about a rapid change in the global business environment, leading to increased risks of supply and demand disruptions. As society and the industry continue to acclimate to the new normal, the contributions of the manufacturing industry are critical in the recovery process. However, the existing literature lacks a framework to analyze the manufacturing sectors challenges during the recovery to enhance supply chain resilience (SCR). To address this gap, this study develops a framework for business recovery, especially in the manufacturing sector. A broad literature examination and expert survey were conducted to identify the critical potential business recovery challenges. Further, the interplay of business recovery challenges was analyzed using mixed methodologies such as total interpretive structure model and the cross-impact matrix multiplication applied to classification (MICMAC) to foster a framework that can assist the manufacturing industry in improving SCR. The study found that challenges like lack of flexible policies for handling disruptions and lack of management support toward building resilience have the highest driving power impeding business recovery. Other challenges, such as lack of reconfiguring production lines, lack of product competencies to meet disturbances, and less adoption of robust technologies are also identified as major challenges. The implications of the study offer valuable insights into global manufacturing industries. It also has significant propositions for the Pacific region. The Pacific region faces unique challenges, including geographic isolation, resource dependency, diverse economies, climate vulnerabilities, and complex trade relationships. The suggested frameworks adaptability and applicability to these regional characteristics enable businesses and policymakers in the Pacific to better understand and address the specific dynamics of post-pandemic recovery, ultimately contributing to enhanced SCR tailored to the regions needs. The study enriches the existing SCR literature by analyzing inter-relationships between business recovery challenges in the manufacturing industrys post-pandemic context. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2024. -
Elementary Methods for Generating Three-Dimensional Coordinate Estimation and Image Reconstruction from Series of Two-Dimensional Images
The increase in computational power in recent years has opened a new door for image processing techniques. Three-dimensional object recognition, identification, pose estimation, and mapping are becoming popular. The need for real-world objects to be mapped into three-dimensional spatial representation is greatly increasing, especially considering the heap jump we obtained in the past decade in virtual reality and augmented reality. This paper discusses an algorithm to convert an array of captured images into estimated 3D coordinates of their external mappings. Elementary methods for generating three-dimensional models are also discussed. This framework will help the community in estimating three-dimensional coordinates of a convex-shaped object from a series of two-dimension images. The built model could be further processed for increasing the resemblance of the input object in terms of its shapes, contour, and texture. 2021 Naived George Eapen et al. -
A Worldwide Test of the Predictive Validity of Ideal Partner Preference Matching
Ideal partner preferences (i.e., ratings of the desirability of attributes like attractiveness or intelligence) are the source of numerous foundational findings in the interdisciplinary literature on human mating. Recently, research on the predictive validity of ideal partner preference matching (i.e., Do people positively evaluate partners who match vs. mismatch their ideals?) has become mired in several problems. First, articles exhibit discrepant analytic and reporting practices. Second, different findings emerge across laboratories worldwide, perhaps because they sample different relationship contexts and/or populations. This registered reportpartnered with the Psychological Science Acceleratoruses a highly powered design (N = 10,358) across 43 countries and 22 languages to estimate preference-matching effect sizes. The most rigorous tests revealed significant preference-matching effects in the whole sample and for partnered and single participants separately. The corrected pattern metric that collapses across 35 traits revealed a zero-order effect of ? =.19 and an effect of ? =.11 when included alongside a normative preference-matching metric. Specific traits in the level metric (interaction) tests revealed very small (average ? =.04) effects. Effect sizes were similar for partnered participants who reported ideals before entering a relationship, and there was no consistent evidence that individual differences moderated any effects. Comparisons between stated and revealed preferences shed light on gender differences and similarities: For attractiveness, mens and (especially) womens stated preferences underestimated revealed preferences (i.e., they thought attractiveness was less important than it actually was). For earning potential, mens stated preferences underestimatedand womens stated preferences overestimatedrevealed preferences. Implications for the literature on human mating are discussed. 2024 American Psychological Association -
Sustainability and Gender Equality: SDG5Gender Differences in Bargaining in the Housing Market
This chapter investigates whether gender differences exist in bargaining behaviour in the housing market. The impact of personality dispositions, location preferences and other such variables on the individuals willingness and ability to bargain and obtain a concession is studied. The variables were estimated using a 5-point Likert scale, and the final dataset was analysed by implementing logistic regression model. Findings suggest that gender, product knowledge, bargaining disposition, role of agent and reference price significantly impact bargaining behaviour. The study validates the need to attain the fifth Sustainable Development Goal, i.e. Gender Equality. The current emphasis is to ensure full participation of women in decision-making capabilities by 2030 (UN Women, Progress on the sustainable development goals: the gender snapshot, UN Women, New York, 2022), but it is found that men bargain more than women in the rental housing market. The chapter contributes to existing literature by studying gender differences in the rental housing market and justifies the findings with the help of primary data analysis. 2024 The Author(s). -
Spectroscopic Study of Late-type Emission-line Stars Using the Data from LAMOST DR6
Low-mass emission-line stars belong to various evolutionary stages, from pre-main-sequence young stars to evolved stars. In this work, we present a catalog of late-type (F0 to M9) emission-line stars from the LAMOST Data Release 6. Using the scipy package, we created a Python code that finds the emission peak at H? in all late-type stellar spectra. A data set of 38,152 late-type emission-line stars was obtained after a rigorous examination of the photometric quality flags and the signal-to-noise ratio of the spectra. Adopting well-known photometric and spectroscopic methods, we classified our sample into 438 infrared (IR) excess sources, 4669 post-main-sequence candidates, 9718 Fe/Ge/Ke sources, and 23,264 dMe sources. From a crossmatch with known databases, we found that 29,222 sources, comprising 65 IR excess sources, 7899 Fe/Ge/Ke stars, 17,533 dMe stars, and 3725 PtMS candidates, are new detections. We measured the equivalent width of the major emission lines observed in the spectra of our sample of emission-line stars. Furthermore, the trend observed in the line strengths of major emission lines over the entire late-type spectral range is analyzed. We further classified the sample into four groups based on the presence of hydrogen and calcium emission lines. This work presents a large data set of late-type emission-line stars, which can be used to study active phenomena in late-type stars. 2024 National Astronomical Observatories, CAS and IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved. -
Pluronic f127 encapsulated titanium dioxide nanoparticles: Evaluation of physiochemical properties for biological applications
The infections caused by bacteria that are resistant to drugs are very bad for human health and kill thousands of people every year. Also, both human actions and natural processes make surface waters more likely to have drug-resistant bacteria grow and spread in the environment. Because of this, researchers need to find new ways to treat bacterial infections quickly becoming resistant to drugs as soon as possible. Drug delivery systems based on nanoparticles have enhanced biocompatibility, biocidal properties, pharmacokinetics, tumor targeting, and stability while exhibiting non-toxicity to normal cells and overcoming drug resistance. In the present work, the pluronic-F127 encapsulated titanium dioxide (PF127/TiO2) nanoparticles (NPs) were prepared by a green process using Morinda citrifolia leaf extract. X-ray diffraction patterns (XRD) revealed that synthesized NPs exhibit an anatase structure. FESEM and TEM images of synthesized PF127/TiO2 NPs showed a polymorphic structure and an average particle size of 5060 nm. The chemical composition of the prepared NPs, which included elements like carbon, titanium, and oxygen, was identified using the EDAX spectrum. With the DLS spectrum, the hydrodynamic sizes of PF127/TiO2 NPs were 176 nm. In the FTIR spectrum, the metal oxide stretching bands like O-Ti-O were located at 664 cm?1 for PF127/TiO2 NPs. The surface defects, including Ti and O vacancies, were studied using the photoluminescence spectrum. The prepared PF127/TiO2 NPs exhibited significant microbial activity for inhibiting hospital pathogenic bacterial and fungal strains, specifically (Staphylococcus aureus) S. aureus, (Streptococcus pneumoniae) S. pneumonia, (Klebsiella pneumoniae) K. pneumonia, (Shigella dysenteriae) S. dysenteriae and (Candida albicans) C. albicans. In addition, PF127/TiO2 NPs had highly anti-cancer properties against human blood cancer (MOLT-4) cell lines. Furthermore, we found that synthesized PF127/TiO2 NPs exhibited anti-inflammatory activity. 2023 -
Evaluation of physicochemical and biological properties of SnO2 and Fe doped SnO2 nanoparticles
In recent decades, nanoparticle synthesis has been used for various physical and chemical methods. However, different toxic chemicals are used during this synthesis process to address these concerns, which has multiple effects on environmental toxicity and high cost. To avoid these problems, we need a cost-effective and environmentally friendly approach. In this study, green synthesis was used to make tin oxide (SnO2) and ferrous doped tin oxide (SFO) nanoparticles (NPs) from Morinda citrifolia leaf extracts. The X-ray diffraction patterns of SnO2 and SFO NPs reveal a tetragonal crystalline structure. From the FESEM image of synthesized SnO2 and SFO NPs, their spherical structure and chemical composition were identified by EDX spectrum. Through the DLS spectrum, the hydrodynamic size was observed at 66 and 61 nm for SnO2 and SFO NPs, respectively. In the FTIR spectrum, the OSnO stretching vibration peak arises at (606 & 509 cm?1 for SnO2 NPs) and (613 & 538 cm?1 for SFO NPs). Photoluminescence is used in materials to detect surface defects and impurity levels. The antibacterial activity of the SnO2, SFO NPs, and conventional antibiotics like amoxicillin NPs is effectively inhibited against S. aureus and E. coli bacterial strains. SFO NPs exhibit a higher antibacterial activity as compared to SnO2 and amoxicillin. The anticancer efficacy of increased SFO NPs compared to SnO2 NPs was tested against (MDA-MB-237) human breast cancer cells. These results suggest that Fe ions modified SnO2 NPs could be used in healthcare industrial applications to improve human health. 2022 Elsevier Ltd and Techna Group S.r.l. -
Salutogenesis: A Paradigm for Organizational Health And Sustainability- A Metaphorical analysis.
Volume .5, Issue - 2, P# 43-22 ISSN: 0974-908x -
Mediation of Perceived Innovation Characteristics on ERP Adoption in Industrial Cluster
An industrial cluster, due to its close network of institutions, will experience various pressures that force the industry to have a homogeneous structure, norms, and practices. These pressures can also lead to adoption of innovative technologies. Enterprise Resource Planning (ERP) is perceived as a sophisticated technology and diffuses across the cluster by its innovative characteristics. However, firms in the industrial cluster will have different rate of adoption of technologies due to the varying level of knowledge spillover and a heterogeneous absorptive capacity. This study empirically tests how absorptive capacity mediates the institutional forces and the perceived innovation characteristics towards the ERP adoption in an industrial cluster. Mediation effect and the model validity are tested using SEM technique. The results show that absorptive capacity complements the forces of institutional pressure and the perceived innovation characteristics on ERP adoption. The implications of managing the absorptive capacity for better ERP adoption are discussed. 2016 World Scientific Publishing Company. -
Influence of Business Analytics Usage on Operational Efficiency of Information Technology Infrastructure Management
Organizations today depend and thrive on timely, accurate and strategically relevant information. Business analytics (BA) holds the key to many of these issues. This paper validates a model on how the usage of BA leads to operational efficiency. We identified the factors of basic analytical usage from the Business Capacity Maturity Model (BCMM). The scope of the study is restricted to the Information Technology Infrastructure and Application management domain. A survey was conducted among the managers of the IT companies in Bengaluru, India. The results showed a significant influence of data-oriented culture and BA tools and infrastructure on BA usage. We found a significant influence of BA usage and pervasive use on operational efficiency. The speed to insight is still not practised in organizations. The awareness level of analytical skills in organizations is very low. 2022, Asia Pacific Journal of Information Systems. All Rights Reserved. -
Impact of functional interdependency on employee satisfaction with performance appraisal in the real estate industry
Unbiased performance appraisal tends to bolster the performance of employees. The studies indicate several inadequacies with the current performance appraisal systems. Functional interdependence is one such factor that has been ignored. The study aims to find the factors that can improve the satisfaction with performance appraisal of employees whose deliverables are highly interdependent on other functions. Organizational justice, rater competence, inter-functional conflict, and cohesion are considered the mediating variables. To test the model, the data are collected through a survey using a questionnaire from the executives of Indian real estate companies who have undergone the appraisal process at least once. Firms with more than 500 employees are randomly selected for the list of members of the real estate developers' associations. The results show that functional interdependency has a negative impact on satisfaction with performance appraisal. Although conflict and cohesion are found to influence satisfaction with performance appraisal, they did not mediate the effect of functional interdependency on satisfaction with performance appraisal. However, the study found that rater competence and organizational justice have a mediating effect. The study provides practical implications to HR managers of real estate companies to train the raters and include the complexities of functional interdependencies in the appraisal system. A grievance mechanism should be created to address the employees' concerns, ultimately improving satisfaction with performance appraisal. Elangovan N., Sridhar Rajendran, 2020 -
Method of preparing a document for survey instrument validation by experts
Validation of a survey instrument is an important activity in the research process. Face validity and content validity, though being qualitative methods, are essential steps in validating how far the survey instrument can measure what it is intended for. These techniques are used in both scale development processes and a questionnaire that may contain multiple scales. In the face and content validation, a survey instrument is usually validated by experts from academics and practitioners from field or industry. Researchers face challenges in conducting a proper validation because of the lack of an appropriate method for communicating the requirement and receiving the feedback. In this Paper, the authors develop a template that could be used for the validation of survey instrument. In instrument development process, after the item pool is generated, the template is completed and sent to the reviewer. The reviewer will be able to give the necessary feedback through the template that will be helpful to the researcher in improving the instrument. 2021 The Author(s) -
Cluster institutional isomorphic pressures: A case of Tirupur knitwear cluster /
Journal Research Journal of Social Science & Management (RJSSM), Vol.2 Issue 4, pp.95-102, ISSN No. 2251-1571. -
Mediation of perceived innovation charaterstics on ERP adoption in industrial cluster /
International Journal Of Innovation And Technology Management, Vol.13, Issue 3, ISSN: 0219-8770. -
Implementation of survivability aware protocols in WSN for IoT applications using Contiki-OS and hardware testbed evaluation
The Internet of Things is a network of devices capable of operating and communicating individually and working for a specific goal collectively. Technologically, many networking and computing mechanisms have to work together with a common objective for the IoT applications to function, and many sensing and actuating devices have to get connected to the Internet backbone. The networks of resource-constrained sensor devices constitute an integral part of IoT application networks. Network survivability is a critical aspect to consider in the case of a network of low-power, resource-constrained devices. Algorithms at different layers of the protocol stack have to work collectively to enhance the survivability of the application network. In this article, the survivability-aware protocols for wireless sensor networks for IoT applications are implemented in real network scenarios. The routing strategy, Survivable Path Routing protocol, and the channel allocation technique, Survivability Aware Channel Allocation, are implemented in Contiki-OS, the open-source operating system for IoT. Furthermore, the implementation scenarios are tested with the FIT IoT Lab hardware testbed. Simulated results are compared with the results obtained from the testbed evaluation. 2023 Elsevier B.V. -
Facile engineering of aptamer-coupled silk fibroin encapsulated myogenic gold nanocomposites: investigation of antiproliferative activity and apoptosis induction
Nanocomposites selectively induce cancer cell death, holding potential for precise liver cancer treatment breakthroughs. This study assessed the cytotoxicity of gold nanocomposites (Au NCs) enclosed within silk fibroin (SF), aptamer (Ap), and the myogenic Talaromyces purpureogenus (TP) against a human liver cancer cell (HepG2). The ultimate product, Ap-SF-TP@Au NCs, results from a three-step process. This process involves the myogenic synthesis of TP@Au NCs derived from TP mycelial extract, encapsulation of SF on TP@Au NCs (SF-TP@Au NCs), and the conjugation of Ap within SF-TP@Au NCs. The synthesized NCs are analyzed by various characteristic techniques. Ap-SF-TP@Au NCs induced potential cell death in HepG2 cells but exhibited no cytotoxicity in non-cancerous cells (NIH3T3). The morphological changes in cells were examined through various biochemical staining methods. Thus, Ap-SF-TP@Au NCs emerge as a promising nanocomposite for treating diverse cancer cells. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Graphitization of coal by bio-solubilization: Structure probe by Raman spectroscopy
Raman spectra of two coal samples of different rank have been examined with Raman spectrometer operating at an excitation wavelength of 514.5 nm. Raman studies manifested the presence of G band conforming the first order scattering of E2g mode. The sp3 domains at about 1355 cm-1 (D band) is an evidence to edge planes and disordered structures. Analysis by curve fitting the first order spectrum justified the presence of G, D1, D2, D3 and D4 bands. The integrated intensity ratio IG/ID? is found to be 3.66 and 5.8 while the ID/ID? ratio is estimated to be about 3 and 4.9 for bituminous and sub-bituminous coal, respectively indicating on-site and hopping defect in the graphene layers. The 2D band is fitted with multiple Lorentian profile has 4 peaks, the intense G?, G?, D + D? and 2D? band at 2445, 2690, 2925 and 3160 cm-1. From the second order spectrum, formation of about 6-8 stacked graphene layers is observed in sub-bitumionus coal. -
Screens and scars: SEM analysis of the relationship between childhood trauma, emotion regulation, and social media addiction
Background: Addiction is an increasingly significant global public health concern, affecting individuals across diverse age groups and demographics. With the rapid rise of digital technology, social media addiction has emerged as a growing behavioral issue, impacting mental health, interpersonal relationships, and daily functioning. Methods: This study employed an online cross-sectional self-report questionnaire, with university students aged 1635?years as the target population. Data were collected using Google Forms questionnaires, accessible via the university registration system, and sent to the participating students smart phones. The data collection instruments included the Social Media Addiction Scale (SMAS), the Childhood Trauma Scale (CTS), and the Difficulty in Emotion Regulation Scale (DERS). Results: Data from 318 university students were analyzed. The analysis of sociodemographic data revealed a mean participant age of 21.2?years, with 87.3% being female. An analysis of the relationship between social media addiction and childhood trauma revealed that participants with childhood trauma had higher social media addiction. The linear regression model, including childhood traumas and emotion regulation difficulties for social media addiction scores, was statistically significant. A positive correlation was observed between social media addiction and difficulty in emotion regulation. Conclusion: These findings suggest that individuals who struggle with emotion regulation tend to use social media more frequently. Furthermore, the negative effects of childhood trauma on emotion regulation capabilities during adulthood contribute to the development of social media addiction. Copyright 2025 Elkin, Mohammed Ashraf, K?l?nl, K?l?nL, Ranganathan, Sakarya and Soydan. -
On ?(k)-coloring of graph products
An edge which is incident on two vertices that are assigned the same color is called a bad edge. A near proper coloring is a coloring that minimises the number of bad edges in a graph G, by permitting few color classes to have adjacency between the elements in it. A near proper coloring, that uses k colors where 1 ? k ? ?(G) ? 1, which allows at most one color class to be a non independent set to minimise the number of bad edges resulting from the same is called a ?(k)-coloring. In this paper, we determine the minimum number of bad edges, bk(G), resulting from a ?(k)- coloring of some graph products viz. direct product of two graphs G H and corona product of two graphs G?H, for all different possible values of k by investigating an optimal ?(k)-coloring that results in minimum number of bad edges. (2023), (Institute of Combinatorics and its Applications). All Rights Reserved.