Adaptive Concept Research Articles

Turning digital technology to immersive marketing strategy: a strategic perspective on flexibility, agility and adaptability for businesses

PurposeThe purpose of this study is to conduct a systematic literature review of the adoption of immersive marketing technology (IMT) in terms of strategic planning of its adoption, resource requirements and its implications and challenges.Design/methodology/approachThis study categorizes and contextualizes qualitative approaches to evaluate the literature, with Scopus databases serving as the primary source of 90 selected articles in the areas of information technology, business and marketing strands. Theme analysis was carried out using thematic techniques and grounded approach principles to facilitate thematic coding and generate theme analysis.FindingsThe analysis was supported by the three concepts of business flexibility, agility and adaptability, which were drawn as a strategy for IMT adoption. The findings presented three main themes: proactive flexibility, responsive agility and reactive adaptability that enable business owner–managers to craft a strategy for IMT adoption.Originality/valueThe novel contribution of this study is the inclusion of key implications related to IMT as a starting point of the next level of innovative marketing for all academics, practitioners and business owner–managers.

Adaptability of the economy to external and internal shocks in globalization

The purpose of the study is to consider issues of adaptability of economic systems under the influence of external and internal shocks to the modern global challenges. The paper represents the theoretical foundations of determining the quality of factors external to economic systems capable of exerting a shock effect on them; the functions of the shock impact mechanism on national economic systems in the conditions of globalization processes are highlighted. Globalization is based on the development of global markets for goods, services, labor and capital. This process is characterized by the strengthening of the funds movement in the most profitable sectors of the national economy, the rapid development of financial markets that generate strong financial flows, and the sharpening of the financial market of innovations and the innovation process involves the creation, development and spread of innovations. Adaptation is considered as a process of changes in quantitative and qualitative features of the system, which allows to reach the optimal or, in critical conditions, the limit state of functioning in changing conditions. Systems are able to change their parameters in accordance with external conditions, self-adjusting is called adaptive, and the functioning of adaptive systems is based on a feedback mechanism. Adaptability implies the possibility of prompt response in the process of functioning of the system to the current information that is received, regarding changes in the conditions of its functioning. The essence of the concept of adaptability is to change the parameters, structure and algorithms of system functioning based not only on a priori information, but also current information, as well as forecasted information, in order to achieve or maintain a certain efficiency of the system when the operating conditions of the latter change. The content of external and internal shocks and their transmission to national economic systems, the spread of financial crises, were studied. External shocks in the context of globalization are the most obvious and significant manifestation of the influence of exogenous factors on national economic systems. The systemic role of external shocks lies in the fact that they are one of the components of the mechanism of spreading global financial instability. Considering shock disturbances as supply and demand, we also distinguish the main external sources of their occurrence according to the subjects of supply and demand. Keywords: adaptability of the economy, globalization, economic shocks, stability of the national economy, shock effects.

PEMBENTUKAN LITERASI, NUMERASI DAN ADAPTASI TEKNOLOGI PADA PROGRAM KAMPUS MENGAJAR PENEMPATAN SMP NEGERI 3 SIDOARJO

The teaching campus is one of the learning and student programs of the directorate general of higher education, ministry of education, culture, research and technology, called Merdeka Learning Campus Merdeka (MBKM) in the form of teaching assistance to empower students in helping the learning process in junior high schools. placement of SMP Negeri 3 Sidoarjo, East Java Province. Campus teaching activities at placement schools have 3 concepts of literacy, numeracy and technology adaptation. student resources to be useful by contributing and innovating together to help the community. Implementation in campus teaching activities that contribute to helping problems, obstacles and efforts that occur in education. Campus teaching activities provide opportunities for students to participate in teaching and implementing by helping the teaching process in areas determined by the Ministry of Education and Culture, Research and Technology. Helping to increase equity in the quality of education, especially during the post-Covid-19 pandemic. In developing insight and honing thinking skills in working together across fields of science and various backgrounds in solving problems faced. Provide inspiration and motivation to learn for students as well as introduce the cultural diversity of the archipelago, the development of science and technology

Adaptive Loss Model Control for Robustness and Efficiency Improvement of Induction Motor Drives

Indirect field-oriented control (IFOC) can provide an excellent dynamic response in three-phase induction motor drives and is widely used in the industry. Still, as a considerable part of the electrical energy is used to drive motors, intense research has been carried out to reduce the energy consumption of the induction motor drives and improve their efficiency. In this article, a high-efficiency smooth IFOC (SIFOC) scheme is proposed and implemented experimentally with improved current controllers and the loss model control (LMC) technique, which achieves up to 41% reduction in energy consumption compared to the traditional IFOC approach. The main contribution is the new adaptive LMC (ALMC) control scheme, which includes two recursive adaptation algorithms to minimize the LMC technique sensitivity to the variation of the motor parameters. The algorithms are derived considering the model reference adaptive system concept and both active and reactive power to estimate the stator and rotor bandwidths, which are used to update the ALMC controller. The SIFOC-ALMC approach is verified experimentally, with up to 7.2% energy saving compared to SIFOC-LMC. Moreover, since the traditional IFOC controller is sensitive to rotor bandwidth variation, estimating this parameter improves the robustness of the SIFOC drive system.

Implementation of Building with Nature (BwN) as Adaptive Concept to Prevent Coastal Erosion in Demak Regency, Central Java, Indonesia

North Java, Indonesia's Shoreline degradation has become a severe problem along its coast. The gradually vanishing of the mangrove greenbelt indicates starting of coastal erosion. To overcome that problem, the adaptive concept using Building with Nature (BwN) is expected to become a part of the solution by enhancing the natural process. Construction of permeable structures was started in 2013. Its implementation was modeled using Delft3D. A coupling between Delft3DFlow and Delft3DWave is proposed. The model is conducted in two scenarios, coastal areas without and with permeable structures. Both were simulated in wet and dry seasons. It is analyzed on three years morphological scale. 10 observation points were determined in the front and back of structures. Those are utilized as control points to check the height of sediment trapped. Accumulation of sediment trapped in wet and dry seasons, and the coverage area was a dry season without structures. By adding a permeable structure, the maximum amount of sediment trapped in the wet season reaches 1.52 m in three years of simulation. It can be concluded that permeable structures constructed along the coast can trap the sediment. The placement, length, and number of structures should be considered to produce a wider coverage area. In the future, the sustainability of this adaptive concept is expected to enhance the coastal restoration in Demak coastal area.

Semi-supervised adaptive kernel concept factorization

Kernelized concept factorization (KCF) has shown its advantage on handling data with nonlinear structures; however, the kernels involved in the existing KCF-based methods are empirically predefined, which may compromise the performance. In this paper, we propose semi-supervised adaptive kernel concept factorization (SAKCF), which integrates the data representation and kernel learning into a unified model to make the two learning processes adapt to each other. SAKCF extends traditional KCF in a semi-supervised manner, which encourages the high-dimensional representation to be consistent with both the limited supervisory and local geometric information. Besides, an alternating iterative algorithm is proposed to solve the resulting constrained optimization problem. Experimental results on six real-world data sets verify the effectiveness and advantages of our SAKCF over state-of-the-art methods when applied on the clustering task.

A Hybrid Intelligent Clustering Model for Tackling Incomplete Mixed Data Using Heuristic Algorithm with Artificial Intelligence

Recently, in various information areas including image processing and social networks, data clustering has been vastly utilized. Thus, the clustering task is taken as successful while imputing the quality of uncertain values, whereas the traditional methods observe only poor performance. To enhance the performance, the hybrid intelligent-based clustering model is proposed by the adaptive concept. Initially, the data is collected from benchmark datasets that are composed of incomplete mixed data. The first level of clustering is processed by optimized K-Means Clustering (KMC) to acquire the optimal centroid, in which the centroid is optimized by the Adaptive Probability-assisted Water Strider Algorithm (AP-WSA). Similarly, the second clustering is done through K-Correlation-based Clustering (KCC) to obtain the clustered output. Thus, the final clustering process is named as Hybrid K-Means K-Correlation (HKMKC) clustering algorithm. Finally, the experimental results are validated with the performance measures and estimated with the traditional methods. Through the result analysis, the Average Silhouette Coefficient (AS) of the designed AP-WSA-HKMKC is 50%, 28%, 16%, and 5.45% progressed than KMC, FCM, KCC, and K-median clustering methods for dataset 2 at 15% miss rate. Thus, the designed hybrid clustering ensures the efficiency of handling incomplete data regarding accurate clustered outputs.

ДОСВІД РОЗБУДОВИ ТЕРИТОРІІ ХОРВАТІЇ ПІСЛЯ ЗБРОЙНОГО КОНФЛІКТУ: УМОВИ, ПРІОРИТЕТИ ТА ІНСТРУМЕНТАРІЙ

The article examines experience of the Republic of Croatia in the development of de-occupied and affected territories post the armed conflict. The authors analyzed economic and legal conditions for the construction of the Croatian territories destroyed after the armed conflict and their financial support by international donors through the creation of local economic development agencies, development and implementation of the local economic development concept in Croatia and adaptation of the legal framework to new economic goals. The priorities and four components of the strategic project of the social and economic recovery of Croatia have been determined. The first component of the project aimed at attracting investment in territorial communities, the second component devoted to the process of demining de-occupied territories, the third is the provision of consulting services to strengthen management potential, and the fourth component of the project aimed at supporting sub-projects in such areas as: social integration, economic revival and infrastructure for small communities in Croatia. The article demonstrates the economic and legal instruments of special state support for the development of the de-occupied territories of Croatia as well as the classification of territories requiring special state support. Emphasis placed on the expediency of state administration decentralization and the use of tax incentives, including real estate transfer tax, income tax received in the territory of special state supervision and corporate tax. In addition, noteworthy is the creation of three types of territories that received special state aid through income tax exemption or tax rate differentiation over time. Special state support was provided by providing housing to the population affected by the “Croatian War”. The conducted research made possible to establish the successes and shortcomings of the Croatian experience for the possible extrapolation of developments to Ukrainian realities.

Model independent measurements of standard model cross sections with domain adaptation

With the ever growing amount of data collected by the ATLAS and CMS experiments at the CERN LHC, fiducial and differential measurements of the Higgs boson production cross section have become important tools to test the standard model predictions with an unprecedented level of precision, as well as seeking deviations that can manifest the presence of physics beyond the standard model. These measurements are in general designed for being easily comparable to any present or future theoretical prediction, and to achieve this goal it is important to keep the model dependence to a minimum. Nevertheless, the reduction of the model dependence usually comes at the expense of the measurement precision, preventing to exploit the full potential of the signal extraction procedure. In this paper a novel methodology based on the machine learning concept of domain adaptation is proposed, which allows using a complex deep neural network in the signal extraction procedure while ensuring a minimal dependence of the measurements on the theoretical modeling of the signal.

Study on flame adaptability method of an integrated Chinese cooking stove research based on the synergetic theory

To solve the low energy utilization and high pollutant emission caused by the incompatibility between the combustion flame shape and the heating surface structure of the stove chamber, the concept of flame adaptability was proposed based on the adaptability theory of synergetics. A flame adaptability evaluation model was established to quantitatively evaluate the adaptability of flames and an integrated Chinese cooking stove. Six suitability evaluation indexes were determined, including temperature uniformity, reflux area, pollutant emission, flow resistance, heat transfer intensity, and heat transfer power consumption. And the flame adaptability of the integrated Chinese cooking stove under different working conditions was calculated and analyzed. The study shows that after adding an adaptive structure with the appropriate structural parameters, the experimentally measured flame length and the NOx emission had been reduced by about 48.6% and 80%, respectively, and the adaptive degree of the flame and the stove chamber is the highest at 0.841 with proper structure parameter, while it was 0.406 before adaptability improvement, which shows that it is feasible to applying the flame adaptability method to evaluate the fit state of flame and combustion space, and more importantly, it provides a viable way for efficient energy utilization.

Geographical Pattern Evolution of Health Resources in China: Spatio-Temporal Dynamics and Spatial Mismatch.

(1) Background: The rational allocation of limited medical resources is the premise of safeguarding the public health. Especially since the outbreak of COVID-19, the evolution dynamics and spatial mismatch of medical resources have been a focal and frontier issue in academic discussions. (2) Methods: Based on the competitive state model and spatial mismatch index, this paper uses GIS and Geodetector spatial analysis methods and three typical indicators of hospitals, doctors, and beds to conduct an empirical study on the evolutionary characteristics and degree of mismatch in the geographic pattern of health resources in China from 2010 to 2020 (the data are from official publications issued by the National Bureau of statistics in China), in two dimensions of resource supply (economic carrying capacity) and demand (potential demand or need of residents). (3) Results: The spatial pattern of health resources at the provincial level in China has been firmly established for a long time, and the children and elderly population, health care government investment, and service industry added value are the key factors influencing the geographical distribution of health resources. The interaction between the different influence factors is dominated by bifactor enhancement, and about 30–40% of the factor pairs are in a nonlinear enhancement relationship. Hospital, doctor, and bed evolution trends and the magnitude and speed of their changes vary widely in spatial differentiation, but all are characterized by a high level of geographic agglomeration, heterogeneity, and gradient. Dynamic matching is the mainstream of development, while the geographical distribution of negative and positive mismatch shows strong spatial agglomeration and weak spatial autocorrelation. The cold and hot spots with evolution trend and space mismatch are highly clustered, shaping a center-periphery or gradient-varying spatial structure. (4) Conclusions: Despite the variability in the results of the analyses by different dimensions and indicators, the mismatch of health resources in China should not be ignored. According to the mismatch types and change trend, and following the geographic differentiation and spatial agglomeration patterns, this paper constructs a policy design framework of “regionalized governance-classified management”, in line with the concept of spatial adaptation and spatial justice, in order to provide a decision making basis for the government to optimize the allocation of health resources and carry out health spatial planning.

LINGUISTIC AND CULTURAL ADAPTATION OF THE ARTISTIC TEXT DURING THE STUDY OF UKRAINIAN AS A FOREIGN LANGUAGE

The peculiarities of the linguistic and cultural adaptation of the artistic text at classes of Ukrainian as a foreign language are analyzed in the article. The concept of linguistic and cultural adaptation is considered in the context of categories of linguistic picture of the world and artistic picture of the world. It can be defined as the readiness of a foreigner to perceive and analyze the background knowledge embedded in the canon of ethnic culture. A language image is defined as a concept that integrates linguistic and artistic world pictures. In the structure of the linguistic picture of the world, it functions as a stereotype, that is, an element of background knowledge that is socially fixed in the people’s consciousness and is a part of the cultural canon. As a unit of the artistic picture of the world, the linguistic image is a means of text creation, or literary modeling of reality, by which we understand the unfolding of a single image associated with a certain emotion, deposited in the author’s mind, a verbal-associative grid that structures and reflects the meaning of the text. In addition to the phonetic, lexical, grammatical and stylistic levels of linguistic and cultural adaptation, one more level is distinguished – the ethnic cultural level, at which the speaker understands the cultural code of the language, successfully operates with key concepts, images of the corresponding linguistic culture. The algorithm of linguistic and cultural adaptation of the artistic text in the process of learning of Ukrainian as a foreign language is defined using the example of the image of heart. Exercises are offered for successful linguistic and cultural adaptation of the artistic text at the classes of Ukrainian as a foreign language. Key words: linguistic and cultural adaptation, artistic text, language image, background knowledge, linguistic picture of the world, artistic picture of the world, linguistic consciousness.

In search of the intrinsic value of one country two systems: from selective adaptation to normative consensus

PurposeThis article examines the effects and implications of the 2019 social movement in Hong Kong and those of the enactment of the National Security Law (NSL) for Hong Kong for one country two systems (OCTS). It further explores how these factors potentially promote or threaten the intrinsic value of OCTS a normative consensus. It also discusses the factors underpinning the rationale of OCTS as a normative consensus and whether this consensus is inviolable and sustainable.Design/methodology/approachThis article uses the concept of selective adaptation, especially the element of complementarity to explainthe legal behaviour of the Peopleʼs Republic of China (PRC) in relation to Hong Kong and to examine the effects and implications of the 2019 social movement in Hong Kong and those of the enactment of the NSL for Hong Kong for OCTS. It further explores how these factors potentially promote or threaten the intrinsic value of OCTS a normative consensus. It also discusses the factors underpinning the rationale of OCTS as a normative consensus and whether this consensus is inviolable and sustainable.FindingsIt is still possible and feasible for China and the West to work out a normative consensus to sustain and/or restore the core values of Hong Kong – the rule of law, freedom of expression, and political participation – while accommodating the PRC's political concerns about national sovereignty and security. This intrinsic value of OCTS in terms of seeking complementarity and coexistence between the Western liberal norms of governance and Chinese socialist ideology, should be acknowledged and that the OCTS policy should remain in full force to serve as a normative consensus between China and the West, and the feasibility of this proposed normative consensus rests on the PRC's self-interest.Originality/valueThis is one of the very few original research that applies the paradigm of selective adaptation to explain and understand the legal behaviour and phenomenon in relation to PRC's policy towards Hong Kong.

Deep E-Learning RecommendNet: An Acute E-Learning Recommendation System with Meta-Heuristic-Based Hybrid Deep Learning Architecture

Information and communication technology requires an adaptive learning concept for improving the outcomes of students based on their preferences. E-learning recommendation system with hybrid deep learning is developed for providing best recommending reviews for right users. Here, the different reviews from various E-learning platforms were taken as the input text data. These data are given into the preprocessing by performing tokenization, stemming and stop words removal to obtain the preprocessed text data. Then, the term frequency-inverse document frequency (TF-IDF) and glove embedding techniques are utilized for extracting text features. Further, the weighted feature selection is performed, in which the weight optimization and the selection of optimal features are done using the adaptive cat and mouse based optimizer (ACMO) strategy. The weighted features are further involved for the recommendation stage by developing a hybrid deep learning network named DELRNet that includes the combination of recurrent neural network and autoencoder for recommending the best E-learning platform for the users. The parameters in deep architectures are tuned with help of ACMO strategy to improve the effectiveness of the recommendation model. The experiments are carried out on the developed E-learning recommendation system to elevate the efficiency by comparing with other comparative approaches using different measures.

E-Learning through an Adaptive cMOOC: Is it Worthy of Further Research?

This paper describes the types of MOOC considered by researchers, and highlights the latter’s focus on Connectivist MOOC. In addition, it analyses MOOC methodologies, and learners’ interest in MOOC based on the concepts of adaptability, connectivism, and socio-constructivism. This is to address the high dropout rate issue on MOOC platforms. The main objective of this work is to review the empirical results reported in these studies. To reach this goal, a Systematic Literature Review of 798 papers was carried out from 2013 until April 2021, where 446 papers were selected as primary studies. The results obtained from the classification and the analysis of the collected data confirmed the importance of continuing research in the field. Based on the concepts of socio-constructivism and adaptability, the objective is to provide an adaptive cMOOC for the profile and the needs of each learner; blending learning styles and pedagogical models with machine learning technologies.

Design and evaluation of adaptive deep learning models for weather forecasting

Deep learning has emerged as a promising tool in time-series prediction tasks such as weather forecasting, and adaptive models can deal with dynamic data more effectively. In this work, we first investigate how successfully meteorological features can be predicted by a deep learning model based on long-short-term memory (LSTM). Then, we endeavor to improve the prediction model’s performance by employing various LSTM types and choosing a model type that provides robust and accurate results. After that, we extend the proposed model to deal with univariate and multivariate problems, and we compare them. Finally, we apply the adaptive learning concept to the selected model by retraining and updating the model periodically to improve its accuracy. The experimental findings demonstrate that applying adaptive learning in the bidirectional LSTM-based model decreases the prediction error by 45% compared to the baseline models. Moreover, the results reveal that exploiting only the univariate model leads to learning from fewer features; and thus, less time and memory consumption for the model construction and usage.

A Practical Accessibility Evaluation Method for Port-Centric Coal Transportation Chains: Considering the Environment and Operational Adaptability

Improving the accessibility of coal transportation is a crucial issue for energy security, national defense, and livelihoods. In this study, a method to evaluate the performance of the port-centric coal transportation chain (PCTC), which is a crucial part of the international coal production and delivery process, is proposed. After analyzing the features of the port-centric coal transportation chain, a practical accessibility evaluation model is established based on the gravity model. Both the foreland and hinterland features are considered in the model. Based on the features of coal transportation, the concept of port operational adaptability is introduced to indicate the port’s ability to manage a fluctuating irregular workload. Moreover, environmental factors, including transportation emissions and dust pollution, are included in the evaluation system. Based on real data collected from China’s north-south coal transportation corridor, a case study presents the implementation of this comprehensive evaluation system in practice. This evaluation system enables us to determine the vulnerable areas in the coal maritime transportation network and provides a decision-making basis for both shippers and port owners.

Selection of unlabeled source domains for domain adaptation in remote sensing

—In the context of supervised learning techniques, it can be desirable to utilize existing prior knowledge from a source domain to estimate a target variable in a target domain by exploiting the concept of domain adaptation. This is done to alleviate the costly compilation of prior knowledge, i.e., training data. Here, our goal is to select a single source domain for domain adaptation from multiple potentially helpful but unlabeled source domains. The training data is solely obtained for a source domain if it was identified as being relevant for estimating the target variable in the corresponding target domain by a selection mechanism. From a methodological point of view, we propose unsupervised source selection by voting from (an ensemble of) similarity metrics that follow aligned marginal distributions regarding image features of source and target domains. Thereby, we also propose an unsupervised pruning heuristic to solely include robust similarity metrics in an ensemble voting scheme. We provide an evaluation of the methods by learning models from training data sets created with Level-of-Detail-1 building models and regress built-up density and height on Sentinel-2 satellite imagery. To evaluate the domain adaptation capability, we learn and apply models interchangeably for the four largest cities in Germany. Experimental results underline the capability of the methods to obtain more frequently higher accuracy levels with an improvement of up to 10% regarding the most robust selection mechanisms compared to random source-target domain selections.

An innovative climate adaptation planning process: iDEAL project.

Climate change triggers increasing stresses on urban settlements and coastal areas. The intensification of climate-connected impacts requires municipalities and communities to undertake adaptation measures and plans. These interventions should be capable of reducing negative climatic effects on human habitat and regional bioregions. On the one hand, the international scientific community recognized the supported adaptation planning approach as the more suitable to cope with local needs and criticalities. On the other hand, there is a lack of practical guidelines and examples that can be used to implement the theory. From a perspective of growth of global awareness and sensitivity to the climatic emergency, it is necessary to develop a practical methodology able to link together impacts perception and public decision process at the local scale. The paper aims to fill the gap between the theoretical approach and the practice, through a replicable experience of integration among climate change adaptation concepts and decision-making processes. The proposed methodology is described in a 4-step process to support decision-makers in selecting tailored adaptation policies and measures. The article is based on the experience developed within the Interreg It-Hr project "iDEAL - Decision support for Adaptation pLan" project. The research combines a quantitative and qualitative methodology in local participation processes. The approach is tested on five Mediterranean coastal cities and allowed to support the development of tailored adaptation measures. Furthermore, the interaction with local actors during the process led to an acceptance of the implemented measures, designing each measure to stakeholders' ambitions and expectations.

Adaptation: A Twin Concept in Literature and Translation

While volumes of works have been published on adaptation as a concept, little has been done on the issue of adaptation in literature and translation. Adaptation can, therefore, be defined generally as an action or a process of changing something or of being changed to suit a new situation. It is the act of changing something or changing an act to make it suitable for a new purpose or situation. The idea of adaptation is not limited to both literature and translation only but it can be extended to films and their contemporary features. In literature, adaptation serves as a technique of narration and it is applicable in all genres of literature. The concept is equally applicable in translation studies; it serves as a technique of translation which may be applied to isolated parts of the text in order to deal with specific differences between the language and culture of the source text and that of the target text. Adaptation ameliorates cultural narrative, by considering the cultural links between the source language and the target language in translation studies. This is going to show us that adaptation elucidates more on the cultures and how these can be adapted into a real sense of newness of ideas in another cultural cycle. It is further explicated that the concept can be employed as an interdisciplinary one which can be applied in anthropology, philosophy, cultural studies, history, sciences and in all fields of arts. Diverse examples of adaptation are explored in series of African literature, western literature and translation studies. The major objective of this is to examine how adaptation can be described as a twin concept in literature and translation. This study also attempts to explicate the areas of convergence and divergence in the concept and application of adaptation in literature and translation studies. In this study, we adopt descriptive, narrative and expository methods where we describe, narrate and reveal the necessary issues on adaptation as a technique in both literature and translation. In this study, we adopt Skopos theory, which is formulated by the German translator, Hans Vermeer in 1970’s. The theory suggests that the mission and the purpose of translation are of paramount importance. The process of translation is determined by the function of the product. This function is specified by the addressee. This theory is one of the functionalist approaches whose aim is to dethrone the source text (ST). The word “Skopos” was from Greek, meaning purpose or aim. It is used as a technical term for the purpose of translation. The Skopos theory principally suggests that translations should focus on the target culture and language illustrating the source text, their effects on the reader, and the original author’s purpose as decisive factors, rather than the effects and purposes of the source language. The study concludes that Adaptation makes the old literary work popular and marketable because it is a trend to the original work. Literary adaptation that is done rightly has more advantages than disadvantages. One of the common reasons a book or story is adapted is because the characters in that story are already well-known and this help the adapted one. Adaptation will remain relevant in all fields of arts as long as the concept of masterpiece is adapted into the current trends in literary and translation studies. The concept will continue to be significant all over the world because it exposes literary ideas to different audience. Adaptation is as old as the world and it cannot cease because of its pertinence in a changing world.