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Successful turnarounds: The role of appropriate entrepreneurial strategies /
Journal of Strategy and Management, Vol.8, Issue 1, ISSN No: 1755-425X. -
Successful turnarounds: the role of appropriate entrepreneurial strategies
Purpose The purpose of this paper is to report on a research study aimed at comparing the causes of organisational decline and turnaround strategies involved in cases of successful and unsuccessful turnarounds, with a view to identifying the differences, if any, between the two groups, which in turn is expected to provide useful information to academics, practitioners and policy makers. Design/methodology/approach Since turnaround is a business phenomenon of general interest, their stories are often published in business periodicals, which are a rich source of data on them. In order to tap this data source, the present paper employed a method of content analysis for the proposed investigation on the cause of organisational decline and turnaround strategies used. In order to quantify the data, a three-point scale was developed, where the presence of a cause/strategy is rated as 3, its ambivalence as 2 and its absence as 1, whose validity was assessed through the inter-rater agreement indices. The data thus generated are amenable to statistical analyses, using which the more commonly prevalent causes of organisational decline and the strategies commonly employed for turnaround by the successful and unsuccessful companies are identified. Findings The findings of the present study have generated a few useful insights. First, the primary causes for organisational decline are the internal weaknesses of the organisation; in fact the external changes can adversely affect the organisation only if it is internally weak. Second, organisational decline caused by multiple factors (which is usually the case) can be managed effectively by adopting a variety of strategies; hence a single-pronged strategy is often found to be ineffective. Third, the more successful turnarounds had a diverse portfolio of strategies including those of institution-building, often employed in a phased manner, consistent with the stage theories of turnaround. Research limitations/implications The limitations of this research arise mainly from the generation of data from published sources and the consequent biases, which can be managed, to a large extent, by using multiple sources for the same case for reducing the publishers biases as well as by having multiple raters for identifying the researchers biases, if any. Originality/value The study has highlighted the need for addressing the internal causes of organisational decline on a priority-basis rather than blaming the external factors, besides pointing to the need for adopting a variety of strategies for dealing with the diversity of causes affecting the organisations health, particularly the need for institutionalising the changes. These findings can be of help especially to turnaround managers and policy-makers in dealing with organisational decline and thus contribute to the creation and enhancement of economic value. 2015, Emerald Group Publishing Limited. -
Successful footprints of ChatGPT deployments in the education sector: Pros outweigh cons by embracing ethics and etiquette
Artificial intelligence (AI) is essential in all aspects of life. One crucial area to examine is the integration of artificial intelligence in education. The true essence is in providing individuals with the necessary knowledge, skills, and values needed to have a fulfilling and meaningful life. Education must adapt to equip students with essential abilities to navigate life's challenges while upholding integrity in a dynamic world. Artificial intelligence (AI), shown by technologies such as ChatGPT, exhibits significant promise in educational environments. This chapter explores personalized learning enabled by artificial intelligence (AI). Furthermore, intelligent tutoring systems are also analyzed. The text delves into various facets of the educational system where ChatGPT might offer help. Additionally, offering explanations for the prohibition of Chat GPT in many countries and educational institutions. The discussion has focused on how AI affects the socio-economic gap in the education sector. 2024, IGI Global. All rights reserved. -
Successful and Unsuccessful Revival Strategies of Indian Organisations - A Case Survey
European Journal of Business and Management Vol. 4, No. 15, pp. 142-147, ISSN No. 2222-2839 -
Subsume Pediatric Headaches in Psychiatric Disorders? Critiques on Delphic Nosology, Diagnostic Conundrums, and Variability in the Interventions
Purpose of Review: Tension-type headache (TTH) continues to be the most prevalent type of headache across all age groups worldwide, and the global burden of migraine and TTH together account for 7% of all-cause years lived with disability (YLDs). TTH has been shown to have a prevalence of up to 80% in several studies and presents a wide range and high variability in clinical settings. The aim of this review is to identify gaps in diagnostics, nosology, and variability in the treatment of children and adolescents who present with headaches without an identifiable etiology. Recent Findings: Migraine and TTH have been debated to have more similarities than distinctions, increasing chances of misdiagnosis and leading to significant cases diagnosed as probable TTH or probable migraine. The lack of specificity and sensitivity for TTH classification often leads to the diagnosis being made by negating associated migraine symptoms. Although pathology is not well understood, some studies have suggested a neurological basis for TTH, in need of further validation. Some research indicates that nitric oxide signaling plays an integral part in the pain mechanisms related to TTH. Analgesics and non-steroidal anti-inflammatories are usually the first lines of treatment for children with recurring headaches, and additional treatment options include medication and behavioral therapies. Summary: With high prevalence and socioeconomic burden among children and adolescents, its essential to further study Tension-type headaches and secondary headaches without known cause and potential interventions. Treatment studies involving randomized controlled trials are also needed to test the efficacy of various treatments further. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
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SUBSTANCE USE IN WESTERN MUSIC VIDEOS- A comparative study
The approach towards the use of substances in western music videos has been thoroughly investigated by a lot of medical researchers. The main objectives were to produce evidence of the effect of television or any visual medium on the young minds. Most of these studies have come to conclusions that these mediums have enormous effect on the youth. This particular study compares four genres of music videos from the year 1991 till present. Each of these videos qualifies to be taken as subjects of research by their popularity in their particular time period. The four genres are hard rock, country, hip-hop and rap music videos. The main objectives are to find which medium carries such videos the most, which substances are mainly used in each genre and has it increase or decrease over the decade. There are various conclusions made from the findings of the study. New media has indeed made its presence in todays generation. Also, increase in promotion of new illegal substances over television and new media like YouTube is taking place with the increase of new cultures coming out of age. -
Subspace spanning graph topological spaces of graphs
A collection of spanning subgraphs TS, of a graph G is said to be a spanning graph topology if it satisfies the three axioms: (Formula Presented) where, n = |V (G)|, the collection is closed under any union and finite intersection. Let (X, T ) be a topological space in point set topology and Y ? X then, TY = {U ? Y: U ? T } is a topological space called a subspace topology or relative topology defined by T on Y. In this paper we discusses the subspace spanning graph topology defined by the graph topology TS on a spanning subgraph H of G. 2023, Proyecciones. All Rights Reserved. -
Subspace graph topological space of graphs
A graph topology defined on a graph G is a collection T of subgraphs of G which satisfies the properties such as K0, G ? T and T is closed under arbitrary union and finite intersection. Let (X, T ) be a topological space and Y ? X then, TY = {U ? Y: U ? T } is a topological space called a subspace topology or relative topology defined by T on Y. In this P1 we discusses the subspace or the relative graph topology defined by the graph topology T on a subgraph H of G. We also study the properties of subspace graph topologies, open graphs, d-closed graphs and nbd-closed graphs of subspace graph topologies. 2023, Proyecciones. All Rights Reserved. -
Subscriber Preference and Content Consumption Pattern toward OTT platform: An Opinion Mining
Introduction: The outburst of the pandemic has paved the way for the immense popularity of over-The-Top (OTT) platforms among viewers. Furnishing an alternate medium to watch favorite shows and making it a new normal, the OTT platform has replaced the traditional entertainment platform. However, migrating from traditional television to an OTT platform is still a challenge in developing countries. Hence, the understanding of subscriber preferences and content consumption patterns becomes essential to planning and strategizing future business models. Purpose: The purpose of the paper is to examine the subscriber preference and content consumption pattern toward the OTT platform. In addition, this paper also investigates the popularity of leading OTT platforms among Indian viewers. Methodology: Data has been collected from the subscribers of three major OTT: Amazon Prime, Netflix Video, and Disney+Disney+Hotstar. A total of 1860 reviews were scraped as textual data and analyzed using the lexicon-based method. The polarity of the sentiments pertaining to the reviews of different platforms was analyzed using sentiment analysis. Furthermore, the topic modeling on the reviews was performed using natural language programming(NLP). Findings: The findings of sentiment analysis showed that Netflix and Disney+Disney+Hotstar had a considerable number of positive sentiments among viewers when compared to Amazon Prime Video. Eventually, the paper also showed negative sentiment towards Amazon Prime Video regarding streaming content, ad pop-ups, interface issue, shows, etc. Our findings help OTT platforms to determine which factors are driving this dramatic shift in viewer behaviour so that better strategies for attracting and retaining subscribers can be developed. Despite the rise in OTT platform popularity, this is the first study to investigate the content consumption pattern of OTT viewers comprehensively. 2022 IEEE. -
Subliminal Cueing in Visual Attention: Top-down and Bottom-up Processing
Exogenous subliminal cues have been shown to have both top-down and bottom-up effects. There are many research studies have confirmed that the effect of top-down variables dependent on cue characteristics. In response, other studies have attempted to exhibit purely stimulus-driven attention capture. The superiority of attention capture effects and the level of superiority in top-down cues have not been evidenced previously. The present study attempted to observe differential effects of cues with different levels of task relevancy, in both valid and invalid cues. As an addendum, conditions with valid cues and incorrect feature match allowed for the exploration of same-location costs in subliminal cues. The results indicated attentional capture effects of all valid cues irrespective of the level of task relevance in subliminal conditions. The cues with the highest task relevancy led to the most attention capture. There were no inhibitory effects of invalid cues on attention capture in subliminal cues. The study reiterates the possibility of attentional mechanisms in same-location costs implicating processing outside of memory. Further, facilitation and inhibition of attention capture in subliminal cues may have two independent mechanisms. The inhibitory mechanism may be contingent to conscious awareness of cues. The result of the study shows how attention can be exogenously oriented without conscious awareness and what kinds of cues might be most effective. These findings can be useful in educational and training settings and other settings where sustained attention is crucial. 2024, Iquz Galaxy Publisher. All rights reserved. -
Sublimation process and physical properties of vapor grown ?-In2Se3 platelet crystals
Indium selenide (?-In2Se3) crystals have been grown by the closed tube sublimation process in the absence of seed crystals and chemical transporting agents. The composition, structure and morphology of the samples grown under different vacuum conditions were examined by energy dispersive analysis, X-ray diffraction, and scanning electron microscope. Structural features of the crystals obtained in a vacuum of 10?3 mbar exhibited a few reflections not belonging to ? phase, whereas X-ray diffraction spectra of the crystals deposited under a vacuum of 10?6 mbar revealed evidence of sharp peaks with high intensities of ?-In2Se3 crystalline phase. When growth runs were performed for 72 h, voids were observed on the surface whereas for a duration of 120 h, platelet crystals were obtained. Optical properties of these samples were investigated using the FT-IR and photoluminescence spectroscopy. The average transmittance of the platelets in the visible and near infrared region of solar spectrum was found to be ?81% and an optical band gap of ?2.05 eV was computed from the transmission spectrum. Photoluminescence spectra of the grown In2Se3 crystals recorded at room temperature using an excitation laser of wavelength 355 nm showed a peak in the near band edge emission (NBE) corresponding to an energy of 2.01 eV. Under an illumination power of 12 mW/cm2, the photocurrent increased linearly with applied voltage and the dark current was found to be ~2.50?9 A for 10 V. These results suggest that the as-grown ?-In2Se3 platelets crystallized from vapor deposition, possess superior optoelectronic properties than the other phases for solar cell applications. 2016 Elsevier B.V. -
Subjectivity Analysis Using Social Opinion on Stress and Strain During Covid-19 Pandemic
The psychological health of several people across the globe has been under great risk newlineas a result of the COVID-19 pandemic that shook the entire world. The ubiquitous newlinepandemic had created a tectonic shift in everyone s life. The lives of people have newlineundergone a severe transition with strict measures like lockdown and social distancing newlineimposed by governments of several countries to stop the spread of the viral infections. newlineCoping through the adverse situation has been quite onerous causing stress among the people. The transition from normal life to a life filled with several restrictions has newlinebeen stressful and strenuous. A state of emotionally or physically being tensed can be newlineconsidered as stress. Stress can cause frustration, depression, nervousness and other mental health issues. Stress also leads to strain. Social media networking sites like newlineX(Earlier Twitter) and Facebook have emerged to become popular. During the times of lockdown and social distancing the social media networking sites have been a great newlineplatform for expressing opinions, exchange of ideas and thoughts. People have expressed their stressful situations and coping mechanisms through tweets , Facebook newlineposts and several other social media sites during the pandemic. The underlying stress newlineand strain of a person can be analyzed through the posts shared by the person through the social media sites. Early detection of the prevalence of the stress and strain is important, as medical help can be sought quickly and the person affected can be back to normalcy. Subjectivity analysis is the study that deals with analyzing the emotions, feelings, attitudes and polarity of opinions considering any subject matter. newlineThe present research focuses on subjectivity analysis through social opinion mining newlineduring the COVID-19 pandemic. Social opinion mining incorporates Natural Language Processing and Computational Linguistics that identifies the subjectivity across the posts of social media. -
Subjectivity analysis using social opinion mining on stress and strain during covid 19 pandemic
The psychological health of several people across the globe has been under great risk newlineas a result of the COVID-19 pandemic that shook the entire world. The ubiquitous newlinepandemic had created a tectonic shift in everyone s life. The lives of people have newlineundergone a severe transition with strict measures like lockdown and social distancing newlineimposed by governments of several countries to stop the spread of the viral infections. newlineCoping through the adverse situation has been quite onerous causing stress among the people. The transition from normal life to a life filled with several restrictions has newlinebeen stressful and strenuous. A state of emotionally or physically being tensed can be newlineconsidered as stress. Stress can cause frustration, depression, nervousness and other mental health issues. Stress also leads to strain. Social media networking sites like newlineX(Earlier Twitter) and Facebook have emerged to become popular. During the times of lockdown and social distancing the social media networking sites have been a great newlineplatform for expressing opinions, exchange of ideas and thoughts. People have expressed their stressful situations and coping mechanisms through tweets , Facebook newlineposts and several other social media sites during the pandemic. The underlying stress newlineand strain of a person can be analyzed through the posts shared by the person through the social media sites. Early detection of the prevalence of the stress and strain is important, as medical help can be sought quickly and the person affected can be back to normalcy. Subjectivity analysis is the study that deals with analyzing the emotions, feelings, attitudes and polarity of opinions considering any subject matter. newlineThe present research focuses on subjectivity analysis through social opinion mining newlineduring the COVID-19 pandemic. Social opinion mining incorporates Natural Language Processing and Computational Linguistics that identifies the subjectivity across the posts of social media.
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SUBJECTIVE EXPERIENCE OF HIGHLY HYPNOTIZABLE INDIVIDUALS DURING HYPNOSIS SUBJECTIVE EXPERIENCE OF HIGHLY HYPNOTIZABLE INDIVIDUALS DURING HYPNOSIS
The aim of the present study was to examine the subjective experience of highly hypnotizable individuals during hypnosis. The study conducted also examined the structure and pattern of subjective experience among highly hypnotizable individuals. Further investigations were carried out regarding the dimensions of experience which are common and unique to highly hypnotizable individuals. The sample consisted of 10 post graduate college students. Among the 50 participants who volunteered for phase I of the study, 10 highly hypnotizable individuals were selected for phase II. The tools used in phase I of the study were General Health Questionnaire - 12 (GHQ-12), and Harvard Group Scale of Hypnotic Susceptibility- Form A (HGSHS: A). The Phenomenology Consciousness Inventory- Hypnotic Assessment Procedure (PCI-HAP) was used to examine the subjective experience of highly hypnotizable individuals in phase II of the study. Assessment was carried out in group sessions for phase I and individual sessions for phase II were conducted in the college premises. Data were analysed using descriptive statistics such as mean, standard deviation, frequency and percentage, to analyze the personal data of respondents and dimensions of subjective experience. Profile analysis was done using PCI-HAP interpretative manual. Collective analysis of profiles was executed through scaled phenomenological intensity profiles. Thematic analysis was carried out for the subjective responses given by the respondents that described their experience of the vacation (hypnotic dream imagery), trying to open their eyes (ideomotor challenge), two minute quiet period (PCI imagery), feelings after hypnosis, negative effects during or after hypnosis, how hypnotized they feel they became (depth experience). The results show that highly hypnotizable individuals experience distinct patterns of phenomenological experience during hypnosis. They differed in their trance typology profile, suggesting the existence of various subtypes among this population. Half of them were visualizers experiencing high intensity of vivid imagery, self awareness and intact memory. Highly experienced dimension by the group was absorption, highlighting as an important correlate of hypnotizability. The least experienced dimension was volitional control, suggesting less loss of phenomenological control during the PCI-HAP. Implications of the study are discussed. Keywords: Hypnotizability, Hypnotic susceptibility, Subjective experience, Hypnotic response, Phenomenology Consciousness Inventory (PCI). -
Subaru Hyper Suprime-Cam Survey of Cygnus OB2 Complex - I. Introduction, photometry, and source catalogue
Low-mass star formation inside massive clusters is crucial to understand the effect of cluster environment on processes like circumstellar disc evolution, planet, and brown dwarf formation. The young massive association of Cygnus OB2, with a strong feedback from massive stars, is an ideal target to study the effect of extreme environmental conditions on its extensive low-mass population. We aim to perform deep multiwavelength studies to understand the role of stellar feedback on the IMF, brown dwarf fraction and circumstellar disc properties in the region. We introduce here, the deepest and widest optical photometry of 1. diameter region centred at Cygnus OB2 in r2, i2, z, and Y-filters, using Subaru Hyper Suprime-Cam (HSC). This work presents the data reduction, source catalogue generation, data quality checks, and preliminary results about the pre-main sequence sources. We obtain 713 529 sources in total, with detection down to ?28, 27, 25.5, and 24.5 mag in r2, i2, z, and Y-band, respectively, which is ?3 - 5 mag deeper than the existing Pan-STARRS and GTC/OSIRIS photometry. We confirm the presence of a distinct pre-main sequence branch by statistical field subtraction of the central 18 arcmin region. We find the median age of the region as ?5 2 Myr with an average disc fraction of ?9 per cent. At this age, combined with A $ 6 - 8 mag, we detect sources down to a mass range of ?0.01-0.17 M. The deep HSC catalogue will serve as the groundwork for further studies on this prominent active young cluster. 2021 The Author(s). -
Subaltern languages : The question of vernaculars in 21st century India /
Jopurnal of Educational Planning And Administration, Vol.33, Issue 1, pp.51-65 -
Sub-type discernment of attention deficit hyperactive disorder in children using a cluster partitioning algorithm
Background/Objectives: Attention deficit hyperactive disorder is one major neuropsychiatric disorder particularly found in children. This medical disorder is difficult to identify and quantify, even if done, it is very subjective as it is the discretion of the psychiatrists or parents. Methods/Statistical analysis: The most exigent task after identifying ADHD children is to find their exact deficiency of what is the category, is it a hyperactive disorder, an impulsive disorder or an attention deficit disorder. Each category insists a diverse form of treatment and training. With the MRI image data the Tr values are estimated and given for clustering, a k-means algorithm was deployed for clustering. Findings: With different distance measures k-means was able to cluster precisely the three categories from the data. The result obtained would be a very substantial data for the medical physicists and an inevitable philanthropic contribution for the children society combating against this disorder. Applications/Improvements: The method adopted is novel and concise approach to identify the type of ADHD prevalent children. The method can be further perfected and completely automated to identify the category of ADHD in children. -
Sub-Optimization based Random Forest Algorithm for Accurate and Efficient Land use and Land Cover Classification using Landsat Time Series Data
The land use and land cover (LULC) play an essential role to investigate the impacts of environmental factors and socio-economic development in the Earth's surface. Extracting the hidden information from the remote sensing images in the observed earth environment is the challenging process. In this research, implemented a model that uses Landsat data to investigate the LULC changes. Utilized the Landsat 5,7 and 8 as inputs for the 1985 to 2019 by Google Earth Engine (GEE) is applied for the robust classification. This paper proposed a Sub-forest optimization based Random forest (SO-RF) classifier with faster diagnosis speed for LULC classification. Moreover, to increase the multispectral Landsat band's resolution from 30 m to 15 m, the pan-sharpening algorithm is utilized. In addition, analyzed the various image configurations grounded numerous spectral indices and other supplementary data such as land surface temperature (LST) and digital elevation model (DEM) on final classification accuracy. The proposed SO-RF produced higher accuracy (0.97 for kappa, 96.78% Overall accuracy (OA), 0.94 for f1-score) than Copernicus Global Land Cover Layers (CGLCL) map and state of art methods like K-Nearest Neighbor (KNN), Decision Tree (DT), and Multi-class Support Vector machine (MSVM). 2024 IEEE.