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Key factors elevating omni-channel retail experience: A study of critical capability dimensions
Increasing digital disruption is driving the necessity for Omni-Channel Retailing, compelling the integration of online and offline channels. The line between online and physical retailing is blurring as retailers intend to deliver a unified experience anytime anywhere, than a mere channel specific experience. As customer expectation for seamless experience intensifies, and retailers’ organizational, operational and technical barriers persist, it would be vital to formulate a suitable strategy towards elevating Omni-Channel Retail Experience. Though prior studies have observed the need for realigning the strategy around blended advantages of multiple channels, there is a limited understanding with regards to Omni-Channel Capabilities influencing customer experience elements. Besides, it is challenging to adopt all the capabilities within a competitive timeframe. Thus, the importance of prioritizing these capabilities remains fairly underexplored. This research aims to close this gap by ascertaining key Omni-Channel Dimensions and Capabilities influencing experiential aspects, pertaining to Apparel and Fashion retail, which is a leading category in India. The research first employs a qualitative study to corroborate the appropriateness of the Omni-Channel constructs identified from literature review, in the context of Indian retail market, followed by a quantitative study to validate their influence on OmniChannel Retail Experience. The research determines key capabilities and dimensions from a retailers’ perspective that underpin key experience elements. -
Key factors elevating omni-channel retail experience : A study of critical capability dimensions
Increasing digital disruption is driving the necessity for Omni-Channel Retailing, compelling the integration of online and offline channels. The line between online and physical retailing is blurring as retailers intend to deliver a unified experience anytime anywhere, than a mere channel specific experience. As customer expectation for seamless experience intensifies, and retailers organizational, operational and technical barriers persist, it would be vital to formulate a suitable strategy towards e levating Omni-Channel Retail Experience. Though prior studies have observed the need for realigning the strategy around blended advantages of multiple channels, there is a limited understanding with regards to Omni-Channel Capabilities influencing customer experience elements. Besides, it is challenging to adopt all the capabilities within a competitive timeframe. Thus, the importance of prioritizing these capabilities remains fairly underexplored. This research aims to close this gap by ascertaining key Omni-Channel Dimensions and Capabilities influencing experiential aspects, pertaining to Apparel and Fashion retail, which is a leading category in India. The research first employs a qualitative study to corroborate the appropriateness of the Omni-Channel constructs identified from literature review, in the context of Indian retail market, followed by a quantitative study to validate their influence on Omni- Channel Retail Experience. The research determines key capabilities and dimensions from a retailers perspective that underpin key experience elements. The findings established new knowledge in terms of top priority capabilities towards Omni- Channel adoption, and accordingly designed a novel framework termed Capability Priority Framework as a plausible approach to elevate Omni-Channel Retail Experience. The framework is an original contribution of this research serving as an accelerator for retailers to build and reinforce key Omni-Channel capabilities. The research provides a novel perspective of extending The Dialectic Theory of retailing to a modern context such as Omni-Channel. It serves as a basis for organized retailers in India to realign their strategy towards Omni-Channel adoption, as they embark on this path. Finally, it adds to the knowledge base on Omni-Channel, providing a conceptual background towards strategic retailing and further research in this domain. -
Key challenges in developing and executing higher education learners' learning outcomes
This chapter examines higher education institutions' complex obstacles in developing and implementing effective learning outcomes. It emphasizes the need for outcomes that include subject-specific and general skills, meet students' diverse requirements, align with market demands, and incorporate emerging technologies. To facilitate student success in the 21st century, institutions must address these. It examines multidisciplinary programs, technology integration, faculty training, and student participation in outcome formation. It proposes enhancing outcomes through emerging technologies, social and emotional learning, global citizenship education, and entrepreneurship education, emphasizing student-centred approaches. Effective learning outcomes are essential for fostering student success in a constantly changing environment. Case studies from India, the United Kingdom, and the United States provide insights, emphasizing India and lessons from the US and UK experiences. 2024, IGI Global. All rights reserved. -
KESMR: A Knowledge Enrichment Semantic Model For Recommending Microblogs
In today's world, there's an enormous amount of information available on the Internet. Because of this, it's become really important to come up with better and smarter ways to search for things online. The old-fashioned methods, like just matching certain words or using statistics, don't work so well anymore. They often suggest web pages that are irrelevant. As the Semantic Web keeps getting bigger, it needs algorithms for the best fit. In this paper, a way to measure how different the words used for web search. This helps in suggesting the most relevant web pages. A special algorithm that can change its settings. Our proposed method demonstrates 94% accuracy. 2023 IEEE. -
Kernel granulometric texture analysis and light res-aspp-unet classification for covid-19 detection
This research article proposes an automatic frame work for detecting COVID -19 at the early stage using chest X-ray image. It is an undeniable fact that coronovirus is a serious disease but the early detection of the virus present in human bodies can save lives. In recent times, there are somany research solutions that have been presented for early detection, but there is still a lack in need of right and even rich technology for its early detection. The proposed deep learning model analysis the pixels of every image and adjudges the presence of virus. The classifier is designed in such a way so that, it automatically detects the virus present in lungs using chest image. This approach uses an image texture analysis technique called granulometric mathematical model. Selected features are heuristically processed for optimization using novel multi scaling deep learning called light weight residual-atrous spatial pyramid pooling (LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting major level of image features. Moreover, the corona virus has been detected using high resolution output. In the framework, atrous spatial pyramid pooling (ASPP) method is employed at its bottom level for incorporating the deep multi scale features in to the discriminative mode. The architectural working starts from the selecting the features from the image using granulometric mathematical model and the selected features are optimized using LightRESASPP- Unet. ASPP in the analysis of images has performed better than the existing Unet model. The proposed algorithm has achieved 99.6% of accuracy in detecting the virus at its early stage. 2022 Tech Science Press. All rights reserved. -
Keratin as a sustainable biopolymer for waste water treatment
Keratin is one of the most abundant natural polymers with potential application in various fields but is usually seen discarded as waste generated from poultry farms along roadsides and landfills. These are indeed the cheapest source of keratin protein which could be used for various applications. Owing to the structural properties, keratinous materials are now being exploited in wastewater treatment systems as adsorbents. The rich amino acid content having hydroxyl, carboxyl and amino groups has been found to be beneficial in removing contaminants from waste waters like heavy metals and dyes. Research based on this idea has received peak attention to a point where formulations of different adsorbent materials like nanofibre, biofilms and biocomposite from keratinous raw materials are now available for commercial use. This review summarises the application of keratin as an efficient adsorbent for waste water treatment providing an insight into its structure, forms of keratin used for treatments and mechanism of adsorption of different components in waste water. 2022 World Research Association. All rights reserved. -
Kerala flood : Foreign aid and cooperative federalism /
International Journal of Research And Analytical Reviews (IJRAR), Vol.5, Issue 3, pp.464-467, ISSN No: 2348-1269. -
Kerala Development and the Attapadi Adivasi
The development experience of the state of Kerala in southwest India is based generally on democratic principles of equality and popular participation. This article focuses on the lives of the Adivasi1 people of Attapadi in the Palakkad district of Kerala. It argues that the state of Kerala largely treats the Adivasis as secondary citizens and ignores their right to be socially and economically empowered. The state of Kerala takes pride in its positive ranking on human development and social progress indexes but has not done enough to stop Adivasi infants from dying of malnutrition, and Adivasis demands for land rights have been disregarded. As a result, they are forced to live obscure lives in poverty and generally unable to influence their sociopolitical sphere. 2023 The Author(s). -
Kathakali
Kathakali stamp was issued on 26 April, 2002. The Department of Posts, to commemorate the 50th anniversary of diplomatic relations between India and Japan with the issue of a set of 2 commemorative postage stamps and a miniature sheet. The theme is the rich traditions of classical performing arts Kabuki (Japan) and Kathakali (India). -
Kannada translation and validation of Wellman and Liu's theory of mind scale and children's social understanding scale in preschoolers
Background: Assessing theory of mind (ToM) in children is crucial for understanding social cognition. Wellman and Liu's ToM scale and the Children's Social Understanding Scale (CSUS) have been used to study ToM in children but are not available in the local language. Aim: This study aims to translate both scales into Kannada and validate them in preschool children. Methods: Following the rigorous WHO protocol, we meticulously translated and back-translated Wellman and Liu's ToM and CSUS into Kannada with the help of bilingual experts. Validation involved administering both scales to 118 preschool children aged 3 to 6 years from diverse urban and rural backgrounds in a cross-sectional study, ensuring the scales' applicability across different settings. Results: The Cronbach's alpha values for Wellman and Liu's ToM and the CSUS were 0.769 (95% CI 0.698 to 0.828) and 0.983 (95% CI 0.978 to 0.987), respectively, indicating high internal consistency. The test-retest reliability for Wellman and Liu's ToM scale domains ranged from 0.74 to 0.95, and for the CSUS, it was 0.99, demonstrating good reliability. Pearson's correlation between the domains of two scales ranged from 0.32 to 0.69, suggesting a moderate relationship. Conclusion: Our study findings demonstrate that Kannada translations of Wellman and Liu's ToM and CSUS have good internal consistency, test-retest reliability, and construct validity. These tools will be valuable for understanding social cognition in preschool children. 2024 Indian Journal of Psychiatry. -
Kannada script recognitions from scanned book cover images
Text extraction from the images plays a vital role in providing valuable information. Text extraction from images is still a challenging area specially extracting text from regional scripts of India like Kannada, Malayalam etc. Most of the times the images contain complex background then the cropping of text becomes even more challenging for extracting features. The input image is a scanned document images of Kannada book cover which is scanned with flatbed scanner of 400dpi resolution. The data sets are created by dividing the original images into number of varied size of blocks. Both spatial and frequency features are extracted for classifying images. This paper aims at recognizing the scanned images block which contains text or not by using multiple feature approach. The classification is analysed using Multilayer perceptron, Kstar and KNN. Experiments are performed on different sets of scanned documents of text cover images. Compare to all the classifiers KNN has given the encouraging results. Research India Publications. -
KAMAL HAASAN- THE VERSATILE ACTOR
Kamal Haasan is one actor who has a dynamic image in Tamil film Industry. He is one actor who is never scared of experimenting with his roles. This paper tries to find the change in image of the actor. In the present scenario the cinegoers look up to him as an actor, because of his versatility and he his predominantly known for his acting. In a time where the actors were making big budget films for commercialization, Kamal Haasan wanted to make films that had an in-depth story which people could relate to. With Apporva Raagangal he started off his career and got the Filmfare Award for the best actor. He is one actor who never stops from experimenting in films and taking up new roles as a director, producer etc. The paper would analyze twelve of his movies. Thus through this visual analysis the researcher tries to find out whether an actual image transition has happened in the actor and whether the change has been maintained. The researcher has short listed twelve movies for visual analysis, they are: Sigappu Rojakkal, Moondram Pirai, Nayagan, Apoorva Sagodharangal, Thevar Magan, Indian, Avvai Shanmughi, Hey Ram, Thenali, Virumandi, and Vishwaroopam. -
Kakkot List- An Improved Variant of Skip List
Kakkot list is a new data structure used for quick searching in a well ordered sequence of list like Skip list. This ordered sequence of list is created using linked list data structure and the maximum number of levels here will be limited to log n in all input behavioral cases. The maximum number of items in each level is halved to that of previous levels and thus guarantees a fast searching in a list. The basic difference between Kakkot list and Skip list lies in the creation of levels and decision of when an item has to be included in the higher levels. In skip list the levels are created and items are added to each level during the insertion of an item where as in Kakkot list this will be done at the time of searching an item. This modification have made drastic impact in searching time complexity in the Kakkot list. Another issue in Skip list is that it is not cache friendly and does not optimize locality of reference wherein this problem is also addressed in Kakkot List. 2020 IEEE. -
Kaizen costing a management technique /
International Journal Of Business And Management Invention, Vol.4, Issue 9, pp.1-5, ISSN No: 2319-801X. -
K? to K? X-ray intensity ratio and KL vacancy transfer probability of Mn following electron capture decay
K? and K? X-rays of Mn following electron capture (EC) decay of55 Fe were detected using Amptek XR-100 T-CdTe X-ray detector spectrometer. Measured K? and K? X-ray intensities of Mn were used to determine the K? to K? intensity ratio and total KL total vacancy transfer probability. These values were compared with the theoretical, semiempirical, and others experimental values obtained via EC decay as well as photoionization. The X-ray intensity ratio of Mn was found to be higher by 1.5% from the relativistic Hartree-Slater theoretical value. This deviation may be attributed to the exchange interactions occurring between the 3p and 3d shell electrons as well as the recoil effect of the nucleus due to neutrino emission. 2023 The Author(s). -
K-shell X-ray intensity ratios and vacancy transfer probabilities of Pt, Au, and Pb by a simple method
The K-shell X-ray intensity ratios, radiative and total vacancy transfer probablities of platinum, gold, and lead are measured by employing the 2?-geometrical configuration and a weak gamma source, a simple method proposed previously by our group. The targets of Pt, Au, and Pb were excited using ?-rays of weighted energy 123.6 keV from a weak 57Co source and the emitted K-shell X-rays were detected using an HPGe X-ray detector spectrometer coupled to a 16k multichannel analyzer. The measured values of these parameters are compared with the theoretical values and experimental data of other researchers, finding a good agreement. Thus, the 2?-geometrical configuration method with a weak gamma source can be alternative simple method to measure various atomic parameters in the field of X-ray spectroscopy. 2014, Pleiades Publishing, Inc. -
K-Shell X-Ray Fluorescence Parameters of a Few Low Z Elements
K-shell X-ray fluorescence parameters of low Z elements cobalt, nickel, copper, and zinc have been measured employing a simple method. These elemental targets were excited by using 32.86 keV barium K X-ray photons from a weak 137Cs ?-ray source, and the emitted K-shell X-rays from these targets were detected using a low-energy high-purity germanium X-ray detector spectrometer. The results are compared with the standard theoretical, semi-empirical, fitted values and with the others experimental values. 2018, Pleiades Publishing, Inc. -
K-shell jump ratio and jump factor of 3d elements
Employing a simple 2?-geometrical configuration method, K-shell absorption jump ratio and jump factor have been estimated in a few 3d elements viz. Co, Ni, Cu and Zn. The target elements in the form of thin foils were excited using 32.86 keV K X-ray photons from a weak137Cs radioactive source. The emitted K X-rays were detected using a low energy HPGe X-ray detector spectrometerand the K X-ray production cross-section and K X-ray intensity ratios for all the target elements were measured. Then, using the measured data, the K-shell absorption jump factor and jump ratios have been evaluated. The obtained results agree within the experimental uncertainties with previous values reported in the literature. 2018 Author(s). -
K-shell fluorescence yields of barium and lanthanum
K-shell fluorescence yields for barium and lanthanum have been measured adopting simple 2? geometrical configuration and employing a weak 57Co radioactive source. A scintillation spectrometer with an NaI(Tl) detector of dimensions 44.5mm diameter0mm thickness was employed for the detection and measurement of radiation. The results obtained are in good agreement with the best-fitted values of Hubbell et al. (1994) and also with the other experimental values, indicating that our simple method can be extended to determine fluorescence parameters of high Z materials. 2011 Elsevier Ltd. -
K shell X-ray intensity ratios, K-Li, K-L, and K-M vacancy transfer probabilities of Ba and Tl following internal conversion process
K shell X-rays of barium and thallium following internal conversion decay in Cs137 and Hg203, respectively, were detected using a Si(Li) X-ray detector coupled to PC-based 8k multichannel analyser employing the method suggested earlier by our group. The K shell X-ray intensity ratios and vacancy transfer probabilities for thallium and barium were calculated. The obtained results are compared with theoretical, semiempirical, and others' experimental results obtained via photoionization as well as decay processes. The effects of beta decay and internal conversion on X-ray emission probabilities are discussed. 2014 Published by NRC Research Press.