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Tourism business management and competitiveness: Intervention of inclusive practices and community based approach towards community empowerment
The travel, tourism, and hospitality industry is a rapidly evolving sector that contributes to the global economy effectively. Effective business management is crucial for success in this industry, as it requires a delicate balance of customer satisfaction, financial sustainability, and responsible practices. In this chapter, we delve into the key aspects of business management in the tourism industry and explore strategies for achieving sustainable growth and success. This chapter explores a multistakeholder perspective in examining the various facets of business engagement in an inclusive setting. The chapter is iterative, with a focus on the crisis management strategies adopted by the tourism business, to tackle the challenges that stakeholders face in a crisis situation. The study also examines case-lets from the hospitality operators. The chapter primarily endorses business management with coping strategies in a crisis management scenario to equip the stakeholders during disasterprone situations. Towards building a competitive and empowered community, a competency framework is proposed for speedy crisis management responses. The implications indicate the role of destinations, over internal strategies and strategy formulation. Paradoxical dilemmas towards inclusive engagement is clarified with dynamics to understand stakeholder engagement in the leisure industry with strategic and tactical perspectives adopted by a good destination governance. The allied and supplementary tourism industry practitioners in the hospitality sector portray business management and success in business through empowered communities with a tactical and strategic outlook. This indeed can reposition and rebrand tourism in the "New Normal" examined through case lets to address the success of inclusive engagement for community self-sufficiency and empowered teams. 2024 Nova Science Publishers, Inc. All rights reserved. -
Community Resilience and Crisis Management: Stakeholders Perspective of the Tourism Industry
The tourism industry is very vulnerable and has been extensively impacted by varied types of crisis. An attempt is made to precipitate and reflect on the nature of tourism disasters indicating an imperative need for an integrated approach to deal with crisis with disaster planning and a response system. Destinations at crisis impacts humankind causing environmental impacts and economic downfall and largely impacts the local community to recover from the disaster. This chapter examines varied impacts affecting the tourism industry and addressed negative impacts like the Economic crisis and loss of brand image in the post-crisis situation. The conceptual framework indicates Community Resilience model towards destination development and Resilience Building. The role of key stakeholders supporting e-governance and financial resilience pertaining to tourism business is further examined. The chapter explores mechanisms to re-establish the brand image during the restoration phase and have indicated possible strategies and suggestions in the recovery phase of an affected region. Disaster risk reduction is a significant and major phenomenon in handling all kinds of crisis management, therefore this chapter will be an essential reading for tourism education and destination managers who are engaged in destination crisis planning and disaster management. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Modeling destination competitiveness: The unfamiliar shift for destination rebranding, restructuring, and repositioning with DMOs
Tourism is a tactical economic practice across the globe, but the urban and provincial transformations in the industry are strongly contemplated in the light of an unfamiliar shift in tourism business. This chapter discusses an integrated concept with a framework relating systematic approach of managing the destination and its competitiveness. An investigation on the impact on tourism and the recent narrative of national, regional, and local planning approach directs towards efficient destination management organizations (DMO) in practice for future development. This has proceeded by the formation of a competitive approach, emphasizing on the DMO roles and responsibilities helpful for a destination management during an unfamiliar business trend. Modeling destination competitiveness demands an absolute mechanism through destination rebranding, restructuring, and repositioning with DMOs for enabling competency. 2018, IGI Global. -
Introduction. Inclusive business approaches in tourism: Stakeholder engagement
[No abstract available] -
Digitization and smart tourism: Technological opportunities for luxury tourism and destination image
Commitment to technology, sustainability, innovation, and accessibility has not only improved the quality of life but has also created a niche for luxury tourism with smart tourism eco-space. Smart tourism destinations (STD) need vigorous, well-connected stakeholders with the help of a technological platform for data exchange. Instant data exchange creates extremely large data sets known as big data. This chapter aims to contribute to the understanding on how smart tourism destinations could potentially enhance luxury tourism that is more personalized to meet visitors' unique needs and preferences. Developing smart tourism destinations can be an effective mode to engage all the stakeholders and tourists. In improving destination performance, smart tourism ecosystem applies social media analytics and smart tourism technologies. This chapter aims to relate local area as smart tourism local service systems (S-TLSS) and luxury tourism. 2021 by IGI Global. All rights reserved. -
First Order Derivative Spectrophotometric Determination of Thorium in Geological Samples Using Diacetylmonoxime p-hydroxybenzoylhydrazone
Mapana Journal of Sciences, Vol-12 (1), pp. 15-30. -
Abjection and Intersecting Trans Women Identities: Examining Doing Gender through Malayalam Movies Ardhanaari and Njan Marykutty; [Abjeo e Identidades de Mulheres Trans Interseccionadas: Examinando Fazendo Gero atrav dos Filmes em Malayalam Ardhanaari e Njan Marykutty]; [Examinando hacer gero a trav de las pelulas en malayalam Ardhanaari y Njan Marykutty]
The non-confirmation to vexed societal gender norms places trans identities in an abjected state. Media, mainly cinema, plays an indispensable role in shaping, shunning, and promulgating such ideologies. To understand this discourse, the Malayalam films Ardhanaari (2015) and Njan Marykutty (2018) are taken to examine the question of abjection, a concept by Kristeva, and doing gender, by West and Zimmerman. The study argues that the abjection trans identities face forces them to perform their gender in accordance with cisnormative femininity. The study further argues that trans identities should embrace abjection and employ it as a political tool to disrupt the established hegemonic traditional gender structure and its definitions. 2023 Universidad de Guadalajara. All rights reserved. -
Investigations on the electronic properties and effect of chitosan capping on the structural and optical properties of zinc aluminate quantum dots
Quantum confined uncapped and chitosan capped nanoparticles of ZnAl2O4 synthesized by microwave-assisted solgel method were investigated by structural analysis and optical techniques. X-ray diffraction studies confirmed the formation of cubic spinels with crystallite size 4.5 nm and 3.4 nm, respectively for uncapped and chitosan capped ZnAl2O4 nanoparticles. Chitosan capping produced a blue shift in bandgap energy (3.84 to 3.94 eV) agreeing with size effects according to the Brus equation. A blue shift in emission peak and enhancement in photoluminescence intensity was also observed upon chitosan capping. The electronic band structure and the density of states of the bulk spinel were also calculated using density functional theory. The effective masses of electrons and holes estimated based on the band structure were used to extract the excitonic Bohr radius. 2021 Elsevier B.V. -
Electrochemical investigations of chitosan/ZrO2-Bi2O3 composite for advanced energy and environmental applications
Energy needs are on the rise, and the need for effective corrosion resistance measures are also vital to meet the requirements prevailing in society. A multifunctional Chitosan/ZrO2-Bi2O3 composite is synthesized, keeping electrochemical analysis of energy and environmental applications in mind. Various physicochemical methods confirm the impact of integrating ZrO2-Bi2O3 into chitosan, resulting in improved efficacy across applications. The electrocatalytic supercapacitance, hydrogen evolution reaction, and corrosion inhibition studies are carried out to evaluate the efficiency of the synthesized composite. The composite shows a specific capacitance of 636.5 F/g, ensuring the effective utility for supercapacitance applications. The lower overpotential of 135.2 mV is shown by the composite in the electrocatalytic hydrogen evolution reaction. The synthesized composite also shows 96.2 % efficacy in corrosion inhibition studies. The studies conducted demonstrate the increased effectiveness of chitosan when combined with bimetal oxide. The chitosan composite is therefore a competent catalyst for energy and environmental applications. 2024 Elsevier Ltd -
Highly selective derivative spectrophotometric determination of palladium(II) in hydrogenation catalysts and alloy samples
A simple, selective and sensitive derivative spectrophotometric method has been developed for the determination of palladium(II) using a newly synthesised reagent diacetylmonoxime-(p-anisyl)-thiosemicarbazone in acetic acid medium. The molar absorptivity and Sandell's sensitivity of the coloured species are 3.8 104 L mol-1 cm-1 and 2.8 ng cm-2, respectively. Beer's law is obeyed between 0.2-2.0 ?g mL-1 of Pd(II) at 440 nm. The stoichiometry of the complex is found to be 1:2 (metal:ligand). Calibration graph for the first order derivative spectrophotometric determination of palladium(II) is derived by measuring derivative amplitudes at 480 nm with a linear range 0.15-2.6 ?g mL-1. The metal ions, which are normally associated with palladium in mineral and alloy samples, do not interfere. The proposed method has been successfully applied for the trace level determination of palladium in hydrogenation catalysts and some synthetic mixtures. -
Adsorptive removal studies of Rhodamine B by PEG capped polyaniline/TiO2/CuO composite
The availability of pure and fresh water is the prime need of human beings for survival. The fact that the rate of water pollution is alarmingly increasing is making scientists think of ways to minimize the pollution effects. Among the numerous techniques, adsorption is the most cost-effective and easy method for removing pollutants from water bodies. In this study, a ternary PEG capped polyaniline/TiO2/CuO composite with excellent surface area is synthesized, and its adsorption studies carried out using Rhodamine B, one of the strongest organic pollutants. The characterization studies of the prepared composites have been done using XRD, FT-IR, HR-TEM, DLS, zeta potential, BET, and XPS analyses. Isotherm, kinetics, and thermodynamic studies of adsorption have been done for the prepared composite to evaluate its adsorptive efficiency. The adsorption studies of RhB dye using the synthesized composite followed the Langmuir adsorption isotherm. The kinetics study for the adsorption process indicates that pseudo second order kinetics fits best with the adsorption process taking place on the PANI/TiO2/CuO composite. The thermodynamic studies reveal the spontaneity of the process and the exothermic behavior at lower temperatures. The results prove the efficiency of the synthesized adsorbent towards environmental remediation studies. 2023 Elsevier Ltd -
Emerging Nanomaterials for Catalysis and Sensor Applications
This book reviews emerging nanomaterials in catalysis and sensors. The catalysis section covers the role of nano-photocatalysts in organic synthesis and health care application, oxidation and sulphoxidation reactions, liquid phase oxidation, hydrogen evolution and environmental remediation. It highlights the correlation of surface properties and catalytic activity of the mesoporous materials. The sensor section discusses the fabrication and development of various electrochemical, chemical, and biosensors. Features: Combines catalysis and sensor applications of nanomaterials, including detailed synthesis techniques of these materials. Explores methods of designing, engineering, and fabricating nanomaterials. Covers material efficiency, their detection limit for sensing different analytes and other properties of the materials. Discusses sustainability of nano materials in the industrial sector. Includes case studies to address the challenges faced by research and development sectors. This book is aimed at researchers and graduate students in Chemical Engineering, Nanochemistry, Water Treatment Engineering and Labs, Industries, Research Labs in Catalysis and Sensors, Environmental Engineering, and Process Engineering. 2023 selection and editorial matter, Anitha Varghese and Gurumurthy Hegde; individual chapters, the contributors. -
Simultaneous first order derivative spectrophotometric determination of vanadium and zirconium in alloy steels and minerals
A simple, selective and sensitive spectrophotometric method has been developed for the individual and simultaneous determination of trace amounts of vanadium(V) and zirconium(IV) in acetic acid medium using a newly synthesised reagent diacetylmonoxime salicyloylhydrazone (DMSH), without any prior separation. The molar absorptivity and Sandell's sensitivity of the coloured species are 1.30 x 10 4 and 1.82 x 10 4 Lmol -1cm -1 and 3.9 and 2.5 ng cm -2 for V(V) and Zr(IV), respectively. Beer's law is obeyed between 0.26-2.80 and 0.30-3.20 ?g mL -1 concentration of vanadium (V) and zirconium (IV) at 405 and 380 nm respectively. The stoichiometry of the complex was found to be 1:1 (metal:ligand) for V(V) and 1:2 for Zr(IV) complexes. These metal ions interfere with the determination of each other in zero order spectrophotometry. The first derivative spectra of these complexes permitted a simultaneous determination of V(V) and Zr(IV) at zero crossing wavelengths of 445 nm and 405 nm, respectively. The optimum conditions for maximum colour development and other analytical parameters were evaluated. The proposed method has been successfully applied for the determination of zirconium and vanadium in standard alloy steel samples, mineral and soil samples. 2012 Elsevier B.V. All rights reserved. -
Molecular architecture of PANI/V2O5/MnO2 composite designed for hydrogen evolution reaction
An ever increasing demand for energy has mandated scientists towards exploring innovative and environmentally friendly energy production techniques that can meet the needs of human beings and the world at large. Among the various techniques, hydrogen evolution reaction (HER) is a cost-effective and efficient method that produces hydrogen, a better fuel, for meeting our energy requirements. The large surface area, good redox capacity, high electroactivity, and tunable bandgap of polyaniline (PANI) makes it a preferred candidate for various energy-related applications. Incorporating mixed metal oxides into a polymer enhances its catalytic activities and can be used as an electrocatalyst for HER. In situ chemical oxidative polymerization method has been carried out to synthesize PANI/V2O5/MnO2 composite. The characterization studies of PANI/V2O5/MnO2 composite are done using XRD, FT-IR, BET, XPS, and FE-SEM analysis. The PANI/V2O5/MnO2 composite is used for linear sweep voltammetry studies and shows that it acts as an efficient electrocatalyst which gives an overpotential of 130 mV at 10 mA/cm2. The high electrocatalytic activity of the composite is due to the better surface phenomenon that is enhanced by the high porosity and surface area. The electrochemical impedance spectroscopy also shows lower charge transfer resistance for the PANI/V2O5/MnO2, confirming its excellent electroactivity. 90% of the current density is retained even after 7200 seconds, validating its stability. 2023 Elsevier B.V. -
Rational design of PANI incorporated PEG capped CuO/TiO2 for electrocatalytic hydrogen evolution and supercapattery applications
Synthesis of efficient electrocatalysts for energy applications is a major area scientists are currently focusing on to address the twin challenges of energy shortfall and the production of clean energy. Herein, an efficient electrocatalyst, polyaniline incorporated with polyethylene glycol capped CuO/TiO2 is prepared, which is effective in hydrogen evolution reactions and energy storage applications. The characterizations like XPS, XRD, FT-IR, FE-SEM, HR-TEM, and BET have been carried out to confirm the successful formation of the synthesized PANI/CuO/TiO2 composite. At 10 mA/cm2 current density, the prepared composite exhibits a lesser overpotential of 536 mV and 1587.2 C/g at 1 A/g as the specific capacity. The electrode prepared using the PANI/CuO/TiO2 composite also shows cyclic stability up to 2000 cycles. The synthesized composite is an efficient electrocatalyst for energy related applications. 2023 Hydrogen Energy Publications LLC -
Evaluative study on supercapacitance behavior of polyaniline/polypyrrole metal oxide based composites electrodes: a review
Electricity is a versatile form of energy but suffers from a drawback in that it cannot be stored easily. Supercapacitors are devices that can address this problem. Fabrication of efficient supercapacitors is the need of the hour, which requires an intelligent selection of the electrode materials and electrochemical conditions. In this review, electrochemical studies and synthesis methods of polymer based metal oxide composites, especially polyaniline and polypyrrole, are discussed in detail. Various fabrication methods that are in use for the preparation of the supercapacitor electrodes are evaluated, which gives an idea of the selection of suitable materials for electrochemical applications. The supercapacitance studies of the reported works are also discussed, which help to understand the efficiency and working of different polymer based metal oxide composites for energy applications. Conducting polymers have good capacitance behavior but low cyclic stability. Incorporating metal oxides, graphene, noble metals, MXenes, and carbon nanotubes enhances the capacitance of conducting polymers. Polyaniline based electrodes show comparatively higher capacitance values compared to polypyrrole based electrodes. The types of supercapacitors, the importance of polymers in supercapacitance applications, and the improvement of the polymer substrates by using various materials like metal oxides to enhance the supercapacitance ability are discussed in depth in this review. 2023 Elsevier Ltd -
Tailoring a Multifunctional PEDOT/Co3O4-CeO2 Composite for Sustainable Energy Applications
Energy sources play a crucial role in the development of the society. The gargantuan depletion of fossil fuels creates new glitches in the routine activities of human beings. Electrocatalysts can efficiently produce and store energy and, therefore, have the potential to alleviate this situation. A multifunctional electrocatalyst, Poly (3,4-ethylenedioxythiophene)/cobalt oxide-cerium oxide(PEDOT/Co3O4-CeO2), is synthesized by incorporating mixed metal oxide to 3,4-ethylenedioxythiophene (EDOT) using the in situ chemical oxidative polymerization method and is employed for both energy production and storage applications. The successful synthesis of the catalyst is confirmed through various characterization techniques. The composite shows a specific capacity of 617.8Cg?1 and a specific capacitance value of 1298.1Fg?1. The hydrogen evolution reaction (HER) analysis shows that the composite requires a low overpotential of 163.1mV at a current density of 10mAcm?2. Synthesized electrocatalysts can effectively handle the energy related issues prevailing in the society. 2024 Wiley-VCH GmbH. -
Electrocatalytic oxidation and determination of morin at a poly(2,5-dimercapto-1,3,4-thiadiazole) modified carbon fiber paper electrode
Voltammetric determination of morin on carbon fiber paper (CFP) electrode modified by electropolymerization of 2,5-dimercapto- 1,3,4-thiadiazole (DMTD) in phosphate buffer solution (PB, pH 9.0) have been studied. This modified electrode showed strong electrocatalytic activity toward the oxidation of morin, a flavonoid at physiological pH (PB, pH 7.0). Morin gave a sensitive anodic peak at 0.245 V (vs. SCE). The parameters influencing the anodic peak of morin such as effect of pH, effect of scan rate and concentration have been optimized. The electrochemical process was found to be irreversible and adsorption-controlled. Under the optimum conditions, the anodic peak current was linear to concentration of morin in the range of 2.5 10-10-2.75 109 M and detection limit was found to be 8.3 10-11 M. The practical application of the modified electrode was successfully demonstrated for the determination of morin in mulberry leaves. 2016 The Electrochemical Society. All rights reserved. -
Implementation of Morphological Gradient Algorithm for Edge Detection
This paper shows the implementation of a morphological gradient in MATLAB and colab platforms to analyze the time consumed on different sizes of grayscale images and structuring elements. A morphological gradient is an edge detecting technique that can be derived from the difference of two morphological operations called dilation and erosion. In order to apply the morphological operations to an image, padding is carried out which involves inserting 0 for dilation operation and 225 for erosion. Padding for the number of rows or columns is based on the size of the structuring element. Further, dilation and erosion are implemented on the image to obtain morphological gradient. Since central processing unit (CPU) implementation follows sequential computing, with the increase in the image size, the time consumption also increases significantly. To analyze the time consumption and to verify the performance across various platforms, the morphological gradient algorithm is implemented in MATLAB and colab. The results demonstrate that colab implementation is ten times faster when constant structuring element with varying image size is used and five times faster when constant image size with varying structuring element size is used than the MATLAB implementation. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Harnessing Machine Learning for Mental Health: A Study on Classifying Depression-Related Social Media Posts
This study is of particular relevance in the way it identifies depression-related content on social media using a machine learning model to classify posts and comments. This dataset, encompassing around 6500 entries from various platforms including Facebook, was rigorously annotated by four proficient English-speaking undergraduate students together with the final label which is established via majority voting. Data Preprocessing, initial cleaning, normalization and TF-IDF feature creation through vectorization for the output of POS tags. The different machine learning models that were trained and tested are Logistic Regression, Random Forest, SVM (Support Vector Machine), Naive Bayes Gradient Boosting Algorithm K-NN (K nearest Neighbors) AdaBoost Decision Tree. Authors evaluated the models and measured their accuracy, precision score, recall rate (also known as sensitivity) in addition to F1-score. Gradient Boost, Random Forest, and SVM were top performers among which Gradient boosting was found to be an overall best one with almost 98.5%. They show that machine learning model can successfully predict the label of social media posts, as a way for accurately identifying depression from text data. This detailed model performance evaluation is useful in understanding what each approach does well and poorly, shedding light into whether they are / would be actually suitable for real-world applications. This study not only developed discriminative classifiers, but also included detailed analysis of their performance which should hopefully guide future work and help in practical implementations for real-time mental health monitoring. Through this work, this study aim to facilitate timely identification of depression-related posts, ultimately supporting mental health awareness and intervention efforts on social media platforms. 2024 IEEE.