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Blockchain for customer transparency in e-commerce a survival of fittest not fastest
Blockchain has been envisioned as the most disruptive technology in the landscape of ecommerce. There has been an array of challenges for e-commerce retailers to handle like transparency, immutability, reliability and disintermediation. The paper is an attempt to understand consumer acceptance towards new technology where the primary focus would be transparency and plans for human salvation by combating the environment and ethical challenges. The study emphasises the prospective use of blockchain technology in ecommerce industry which has been coupled with the vagueness of these issues. Unified theory of acceptance and use of technology (UTAUT) has been used as the base model to understand the consumer behaviour towards using blockchain technology as a new platform with special reference to fashion apparel sector. Providing traceability of product with an objective of consumer transparency in this mould will change the way of doing online shopping and will have more onus on retailers. Copyright 2023 Inderscience Enterprises Ltd. -
Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative Artificial Intelligence refers to artificial intelligence (AI) systems that generate content, such as text, audio, or video, aiming to produce novel and creative outputs based on training data. Compared to conversational artificial intelligence, generative artificial intelligence systems have the unique capability of not only providing replies but also generating the content of those responses. Recent advancements in Artificial Intelligence during the Fourth Industrial Revolution, exemplified by tools like ChatGPT, have gained popularity and reshaped content production and creation. However, the benefits of generative artificial intelligence are not equally accessible to all, especially in developing countries, where limited access to cutting-edge technologies and inadequate infrastructure pose challenges. This paper seeks to understand the potential impact of generative AI technologies on developing countries, considering economic growth, access to technology, and the potential paradigm shift in education, healthcare, and the environment. The findings emphasize the importance of providing the necessary support and infrastructure to ensure that generative AI contributes to inclusive development rather than deepening existing inequalities. The study highlights the significance of integrating Generative AI into the context of the Fourth Industrial Revolution in developing countries, where technological change is a crucial determinant of progress and equitable growth. The Author(s) 2023. -
A Hybrid Approach Against Black Hole Attackers Using Dynamic Threshold Value and Node Credibility
Detecting black hole attackers is tedious in Vehicular Ad Hoc Networks due to vehicles' high mobility. The main consequence faced because of these attackers is an increase in the number of dropped packets which converts secure and fastest paths to compromised ones. Since these attackers can act individually and collaboratively as a group, early detection of these attackers must be feasible to preserve the network's performance. The majority of current methods rely on predetermined threshold and trust score values, which are ineffective in accurately identifying black hole attackers. Hence, this paper proposes a hybrid approach using dynamic threshold value and node credibility for early detection of black hole attackers. RSUs periodically compute the dynamic threshold value and categorize the vehicles into categories 1, 2, and 3. Vehicles classified as Category 1 are legitimate, whereas Category 3 vehicles are attackers. Vehicles in Category 2 are suspicious, requiring further analysis using node credibility values to identify attackers. It is protected against single, multiple, and collaborative black hole attackers. The NS2 simulation results demonstrate that the suggested method is optimal concerning PDR, Throughput, Delay, and Packet Loss Ratio compared to recent techniques. Since the proposed scheme efficiently identifies the attackers, it has 89.67% PDR, which is higher when compared to other schemes. 2013 IEEE. -
Bounds related to product variants of graphs
Operations in graph theory have a significant influence in the theoretical and application aspect of the domain. Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. Recently, the study on the new graph product variants is initiated. In the article, the computation of some bounds for atom-bond connectivity index, inverse sum indeg index, geometric-arithmetic index and sombor index of graph operations notably the corona join product, subdivision vertex join product and the subdivision vertex-edge join is carried out. Palestine Polytechnic University-PPU 2023. -
Inventory model for the growing items with price dependent demand, mortality and deterioration
Growing items like livestock, chicks, etc. gain weight in the growing phase but some of them are lost due to mortality. In the selling phase, some inventory is lost due to deterioration. Such aspects make procurement decisions quite difficult for these items. In the light of such aspects, we developed an inventory model for the growing items with price dependent demand, mortality and deterioration. Shortages are partially backlogged. Our aim is to optimise the total cost by determining the optimal ordered quantity and total cycle length. Convexity of the cost function with respect to the decision variables has been discussed analytically. Solution procedure along with numerical example at different percentage of backlogged quantity is provided to show the applicability and validity of our model. Sensitivity analysis shows that total cycle length is the most sensitive among all the decision variables and parameters. Copyright 2023 Inderscience Enterprises Ltd. -
Rethinking Fate or Maktub in Paulo Coelhos The Alchemist through Taoism
Brazilian author Paulo Coelhos The Alchemist is believed to be a work that inspires readers to reflect upon their dreams and pursue them. While it is a matter of discussion as to what makes the novel so, one of the apparent reasons is the compelling presence of philosophical ideas like Taoism. However, the presence of Taoismthe idea of going with the universes flow - contradicts Coelhos use of the idea of fate or Maktub present in the same work. While Maktub stands for a pre-determined destiny, this research paper closely analyses how Taoist principles in The Alchemist contradict the authors use of the concept of fate or destiny through the actions and dialogues of notable characters. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Smartphone addiction among post-graduate management students: The Indian experience
This study aimed to recognize the patterns of smartphone addiction among post-graduate management students in the North-East Region of India. The validated Smartphone Addiction Proneness Scale (SAPS) was administered to the respondents, and two different methods, namely SAPS method and median-based scoring method, were used to measure smartphone addiction. The measurement results of smartphone addiction show evidence that the student respondents are not vulnerable to smartphone addiction. Principal component analysis with promax rotation (KaiserMeyerOlkin measure = 0.84; Bartletts test of sphericity = 0.000) demonstrated four crucial components that signify smartphone addiction which are habitual issues (issues relating to regularly or repeatedly doing or practicing something), withdrawal anxiety, tolerance, and usage outcomes. Gender was not seen to play a significant role in these components. The duration of use of a smartphone was seen to have a significant relationship with the component of habitual issues but not with the other components. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Systematic literature review and future research directions for service robots in hospitality and tourism industries; [????????????????????????]
Service robots create a touchless experience for travellers; therefore, this research aims to conduct a systematic literature review (SLR) of service robots in the tourism and hospitality sector. This study used the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) approach for reviewing the articles. One hundred eighteen articles are selected for the final review. A thematic analysis divided the articles into three themes and nine sub-themes. For establishing the future research directions Theory, Methodology, and Context (TMC) framework was used and forty-one future research questions are proposed. The study provides various research implications concerning theory and practical perspective. Different management theories are linked with future research questions. Few review papers discussed the service robot in the context of the tourism sector, but none of these studies used the SPAR-4-SLR and TMC framework. This study comprehensively reviews the articles and provides potential future research directions. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Impact of video product presentation and scarcity claim on mobile-based impulse buying
The introduction of mobile shopping apps has resulted in the growth of impulse buying or excessive compulsion, especially in the fashion industry. This paper aims to establish a relationship between app stimuli (including performance expectancy, effort expectancy, atmosphere, layout, and privacy and security) and impulse buying behaviour. Besides this, it also examines the moderating effects of the video product presentation and product scarcity claim and the mediating effects of impulse buying intention and user satisfaction. The study was carried out in two phases. In the first phase, a paired t-test analysis was carried out to compare the mean of each set. This was followed by multi-group structural equation modelling to check the models validity. The results show that while video product presentation produced a significant difference between impulse buying intention and impulse buying behaviour for both the male and female respondents, scarcity claims achieved positive results only for male participants. The SEM results, meanwhile, demonstrated that both the mediating variables bear a relationship to performance expectancy, privacy and security, and impulse buying behaviour. However, effort expectancy was only related to impulse buying intention, while atmosphere and layout were exclusively associated with user satisfaction. Based on the findings of the study, theoretical and managerial implications are presented. 2023 Korean Scholars of Marketing Science. -
ON SECOND HYPER-ZAGREB INDEX OF CORONA PRODUCTS RELATED TO R-GRAPHS
The cognitive and evidential features of the graph discipline are significantly influenced by the implementation of graph operations. Molecular descriptor acts as a fundamental network invariant relevant to a particular molecular structure in the framework of chemical graph theory. The semi-total point graph features the edges of subdivision graph as well as the edges of the original graph. In this paper, we explore combinatorial inequalities associated with the edges, vertices and its corresponding neighborhood notions along with the inclusion of other molecular descriptors in the computations for the determination of exact expressions of second hyper-Zagreb index for certain corona products involving the semi-total point graph. 2023 Academic Publications -
Analysis of a mathematical model of the aggregation process of cellular slime mold within the frame of fractional calculus
The pivotal aim of the present study is to find the solution for a nonlinear system describing the aggregation process of cellular slime mold by using (Formula presented.) -homotopy analysis transform method. The coupled system is considered within the frame of the Caputo fractional operator. We examine three different cases with distinct values of sensitivity function (Formula presented.), (Formula presented.) and (Formula presented.) to exemplify the efficiency and applicability of the considered scheme. We capture the nature of the obtained results with respect to the fractional order, with distinct initial conditions, and illustrate them using 2D and 3D plots for particular values of the parameters. The considered scheme offers parameters, which help to adjust the convergence region, and we plotted the ?-curves to dissipate the effect in the present framework. Moreover, some simulating and important behavior of the considered model using attained results shows the prominence of the hired operator while analyzing the coupled equations and confirms the competence of the projected scheme. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Evaluation of Remote Sensing and Meteorological parameters for Yield Prediction of Sugarcane (Saccharum officinarum L.) Crop
In the Agriculture sector, the farmers need a reliable estimation for pre-harvest crop yield prediction to decide their import-export policies. The present work aims to assess the impact of remote sensing-based derived products with Climate data on the accuracy of a prediction model for the sugarcane yield. The regression method was used to develop an empirical model based on VCI, Historical Sugarcane Yield, and Climatic Parameters of 75 districts of six major sugar-producing states of India. The MOD13Q1 product of MODIS on Board Terra Satellite at 16-day intervals was accessed during the growing season of sugarcane crop with 36 meteorological parameters for experimentation. The accuracy of the model was evaluated using R2, Root Mean square Metric (RMSE), Mean Absolute Error (MAE), and mean square error (MSE). The preliminary results concluded that the proposed methodology achieved the highest accuracy with (R2 =0.95, MAE=5.18, MSE=34.5, RMSE=5.87). The conclusion of the study highlighted that the coefficient of determination can be improved significantly by incorporating maximum and minimum temperature parameters with Remote sensing derived vegetation indices for the sugarcane yield. 2023 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY NC) license (https://creativecommons.org/licenses/by-nc/4.0/). -
Evaluation of forecasting accuracy of an equity valuation model: a case of ZEE
Investing can prove to be a very enriching and enjoyable experience if one sticks to certain principles and guidelines. The research is based on secondary data pulled out from Money Control website for ZEE Entertainment Enterprises Limited (ZEEL). The identification of target prices is important and involves precision in the price points that are forecasted. The expected growth rate for the next year is figured out to forecast the financial statement for the next year. Regression analysis has been used to estimate growth rate. Regression analysis was done on the income data for the past years for the media entertainment company, and the target prices have been identified. By taking a careful look at the forecasted prices and the prevailing prices, an investor can figure out whether the stock is under-priced or over-priced. 2023 Inderscience Enterprises Ltd. -
Khaki on Screen: Understanding the Representation of Cops in Malayalam Cinema
[No abstract available] -
Labour Rights in the Wake of the WTO
One of the most contentious issues surrounding globalization includes trade and labours rights. In the real world, trade and labour circumstances have an impact on one another. Trading nations should be subject to significant labour standards. It was believed that enforcing labour standards via trade agreements helps to improve the working conditions and income in poor countries, and minimize wage inequalities between rich and poor countries. The World Trade Organizations (WTOs) establishment has resulted in the liberalization of trade and investment. Transnational corporations (TNCs) have become more economically powerful than many countries around the world in todays era of globalization and free trade. These powerful TNCs are violating labour rights and are not accountable for that because of the lack of a legal framework. This calls for a look at issues that arise at the interface of international trade and labour standards, including a brief historical review of labour rights and the, as well as the impact of TNCs on labours and accountability. 2023 Kluwer Law International BV, The Netherlands -
Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach
This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Fatigue surface analysis of AL A356 alloy reinforced hematite metal matrix composites
This study intends to investigate how copper chill affects the fatigue behaviour of composites made of aluminium alloy A356 and hematite. It was cast by altering the weight fraction particles of hematite (0 to 12%wt in increments of 3%wt) by sand casting method with and without copper chills at its end to get isotropic and homogenous significant characteristics under liquid metallurgical way. The test specimens were prepared in accordance with ASTM specifications. Ducom-type fatigue testing equipment (rotating bending-low cycle fatigue) is used in experiments to examine fatigue behaviour. The micrographic images were taken with a scanning electron microscope (SEM) and interpreted uniform reinforcement of hematite particles, and X-ray diffraction (XRD) patterns were used to reveal microscopic details. The existence of the hematite particles and their phases was revealed by the X-ray diffraction analysis. The results show that the composites cast with copper chills have significantly greater fatigue strength than the casting obtained without copper chills. It was also observed that at 9%wt, copper chilled composite shows improve in fatigue strength about 10.2% as compared without chilled composites. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
SUM SIGNED GRAPHS II
In this paper, the study of sum signed graphs is continued. The balancing and switching nature of the graphs are analyzed. The concept of rna number is revisited and an important relation between the number and its complement is established. 2023, Krasovskii Institute of Mathematics and Mechanics. All rights reserved. -
Foetal brain extraction using mathematically modelled local foetal minima
This paper proposes segmentation techniques to separate brain parcel from the MRI of the human embryo and also determines the abnormality of the foetal brain at various gestational weeks. These strategies mean to characterise areas of the premium of various granularities: brain, tissue types, or constructions that are more limited. Various philosophies have been applied for this division task and can be grouped into the solo, parametric, characterisation, atlas combination, and deformable models. Brain atlases are usually used as preparing information in the division interaction. Difficulties identifying using pictures secured, the quick mental health, and the restricted accessibility of imaging information thwart this division task. This paper discusses foetal brain segmentation using mathematically modelled foetal brain minima by using a curve fitting segmentation technique. Broad tests show that the proposed approach beats the ebb and flow of various segmentation techniques and the results gained are significant. Copyright 2023 Inderscience Enterprises Ltd. -
Maximal matching cover pebbling number for variants of hypercube
An edge pebbling move is defined as the removal of two pebbles from one edge and placing one on the adjacent edge. The maximal matching cover pebbling number, fmmcp(G), of a graph G, is the minimum number of pebbles that must be placed on E(G), such that after a sequence of pebbling moves the set of edges with pebbles forms a maximal matching regardless of the initial configuration. In this paper, we find the maximal matching cover pebbling number for variants of hypercube. (2023), (SciELO-Scientific Electronic Library Online). All Rights Reserved.