Geographic Segmentation Research Articles

Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction

This paper presents a comprehensive approach to harmonizing lunar calendars across different global regions, addressing the long-standing challenge of variations in new crescent Moon sightings that mark the beginning of lunar months. We propose a machine learning (ML)-based framework to predict the visibility of the new crescent Moon, representing a significant advancement toward a globally unified lunar calendar. Our study utilized a dataset covering various countries globally, making it the first to analyze all 12 lunar months over a span of 13 years. We applied a wide array of ML algorithms and techniques. These techniques included feature selection, hyperparameter tuning, ensemble learning, and region-based clustering, all aimed at maximizing the model’s performance. The overall results reveal that the gradient boosting (GB) model surpasses all other models, achieving the highest F1 score of 0.882469 and an area under the curve (AUC) of 0.901009. However, with selected features identified through the ANOVA F-test and optimized parameters, the Extra Trees model exhibited the best performance with an F1 score of 0.887872, and an AUC of 0.906242. We expanded our analysis to explore ensemble models, aiming to understand how a combination of models might boost predictive accuracy. The Ensemble Model exhibited a slight improvement, with an F1 score of 0.888058 and an AUC of 0.907482. Additionally, the geographical segmentation of the dataset enhanced predictive performance in certain areas, such as Africa and Asia. In conclusion, ML techniques can provide efficient and reliable tool for predicting the new crescent Moon visibility that would support the decisions of marking the beginning of new lunar months.

The border tourism hotspots network based on travelogues

This study applies the Apriori algorithm and social network analysis to analyze travelogue data from the Qinghai-Tibet Plateau, effectively mapping significant border tourism hotspots and their interconnections within defined networks. Our findings distinctly partition the region into two principal sub-networks: Xinjiang and Tibet, highlighting the geographical segmentation that potentially impedes comprehensive regional tourism integration. The analysis underscores a pronounced reliance on transportation, reflecting the inherently multi-destination nature of border tourism in the area. Key nodes within these networks include Kashgar City and Lhasa City, serving as central hubs in their respective sub-networks, while Gar County and Hotan County act as pivotal connectors bridging the two distinct areas. Additionally, Gyirong County, Nyalam County, and Tashkurgan Tajik Autonomous County are identified as well-developed border tourism destinations, with Gyirong County and Tashkurgan Tajik Autonomous County possessing substantial potential to evolve into core border tourism hubs. Drawing on these insights, the study proposes targeted development strategies to enhance the structure and efficacy of border tourism on the Qinghai-Tibet Plateau.

Мировой и российский рынок инжиниринговых услуг. Инжиниринг в химической промышленности

The article examines the state and prospects of development of the global and Russian engineering market. The volumes, average annual growth rates, and geographical segmentation of the global engineering services market are determined. The regions of the world with the highest growth rates have been identified. The shares of the main industries in the global engineering services market have been determined. Companies in the global engineering services market are characterized. The role, state and development of engineering in the Russian chemical industry are characterized.

Determinants of Halal Tourism Intention in Jabodetabek Indonesia

The purpose of this study is to analyze how the influence of psychographic, socio-demographic, and geographical segmentation on public interest in halal tourism and to analyze the role of the government in the development of halal tourism. This study uses the method of Structural Equation Model (SEM) analysis and qualitative descriptive analysis methods. The data from this study were obtained from primary data (questionnaires) and secondary data (books, journals). The questionnaires were distributed online in the Jabodetabek area. The results obtained in this paper are from 3 variables of tourist characteristics in halal tourism, there is 1 variable that is considered to not affect the wishes of tourists in halal tourism. From psychographic, socio-demographic, and geographic variables, the variable that does not affect the desire of tourists to travel halal is psychographic. Meanwhile, several government's strategies in developing halal tourism are: Making regulations that can simplify and lighten the management of halal certification; Marketing 10 halal tourism destinations to foreign tourists; Conducting guidance for community economic empowerment that supports the operation of the halal tourism sector in Indonesia; and Good management of the halal tourism sector and good corporate governance.

Analisis Segmentasi, Targeting, Positioning Dalam Upaya Meningkatkan Minat Beli Produk di Adorable Project Cimahi Jawa Barat

AdorableProject is one of the fashion brands in Cimahi City, West Java that sells women's fashion products, such as footwear, bags and other accessories. AdorableProject has several strategies implemented to increase and expand marketing as well as product buying demand. This study uses qualitative and descriptive methods to find out how the company's efforts in increasing product buying interest with segmentation, targeting and positioning strategies (STP). Based on the results of the study, AdorableProject experienced an increase and decrease in product sales in 2022. The drastic decrease in 2022 occurred in May by 56.92%, this illustrates that the level of product buying interest in AdorableProject is not significant. Determination of segmentation, targeting and positioning. In segmentation analysis, it is formed based on 4 segments, namely geographical segmentation, demographic segmentation, psychographic segmentation, behavioral segmentation. It can determine the target market's goals. Positioning that is formed based on consumer assessment of the marketing mix. Marketing efforts made by the company are by selling products offline. This can increase purchasing interest in the product.

Пространственная организация рынков продукции топливно-энергетического комплекса России

The article analyzes the markets of fuel and energy complex products in Russia, i.e. of oil, natural gas, coal, electricity, and heating energy. Among the emphasized features of the markets of fuel and energy complex products are the manifold of regulatory influences, the dependence of geographical boundaries of the markets on the development of the corresponding infrastructure, the presence of vertical and horizontal integration, the high dependence of the national markets of the complex products on the corresponding world markets. The combination of the described features on each of the markets of fuel and energy complex products forms a variety of conditions for their functioning within the boundaries of the national economy, which sets the direction of commodity flows and determines the development of the relevant transport infrastructure, which, in turn, are manifested in the spatial organization of product markets (their geographical segmentation). The research algorithm consisted of the analysis of sectoral markets based on the following parameters: properties of energy as a commodity, resource base, characteristics of producers, consumption structure, infrastructure development, and institutional conditions. Based on the combination of parameters, segments were identified for each of the fuel and energy complex product markets. The oil, natural gas, coal and heating market have two segments each: western and eastern. In the coal market, the eastern segment itself has two segments: eastern coastal and eastern mainland. The electricity market has three segments: western, eastern and northeastern. The analysis allows us to identify the western and eastern segments in each of the fuel and energy complex product markets, which are diametrically different in their characteristics. The stability of the distribution of the country’s territories by segments suggests the presence of invariants determined by the parameters of physical space, the effect of which is weakly susceptible to regulatory influences

Enhancing ¬nancial well-being by -ntech: Assessing mediator - moderator impacts

Purpose - This study explores the factors shaping the relationship between the intention to use and the actual using behavior of Fintech services in the context of economic fluctuation. The main aim is to shed light on the intricacies of this relationship and contribute valuable insights to the field. Design/Methodology/Approach - We selected SmartPLS 4.0 software to process the collected data and applied the Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess hypotheses and relationships between potential variables. Findings - We found that the intention to use Fintech positively affects Using Fintech Behavior, which subsequently influences Financial Well-Being (FWB). Additionally, we also found the moderation effect of Financial Literacy (FL) and Resistance to Change (RC) on these relationships through Using Fintech Behavior (UFB), Financial Socialization (FS), and Intention to use Fintech (IT) impact FWB. Surprisingly, UFB does not function as a mediator in relationships involving FL, Financial Stress (FSt), and FWB. Practical implications - The findings’ results indicate that the Fintech service market in Vietnam is not yet diverse, not completely separated from communication services, and the habit of using cash still exists. In addition, despite having financial socialization, financial literacy, and intention to use Fintech, users are still not ready for innovation and the adoption of financial technology. This study suggests that Fintech service developers need to strengthen incentive policies and develop services towards geographic segmentation. Originality - The study could be considered one of the first studies in Vietnam to discuss how to enhance financial well-being at the individual level, especially in evaluating how using Fintech could affect financial well-being. It concludes that Financial Literacy and Financial Socialization are two noticeable factors that might impact Financial Well-being, and Using Fintech is a key to thriving Financial Well-being. Keywords Financial literacy, financial socialization, financial stress, financial well-being.

Spatio-temporal variability of climatic variables and its impacts on rice yield in Bangladesh

Bangladesh is a significant contributor to the global food basket but is also one of the most vulnerable countries to climate change. Understanding regional climatic variability helps reduce climate risks and ensure food security. This research examined monthly, seasonal, and yearly temperature, rainfall, and relative humidity in Bangladesh using data from 35 meteorological stations from 1970–2020. The study utilized the Mann–Kendall method to evaluate trends and employed Sen’s slope to quantify their magnitude. Additionally, quantile regression was applied to analyze the impact of climatic variables on rice yield. The findings revealed that maximum (Tmax) and minimum (Tmin) temperatures were steadily increasing, with the southwest experiencing a more rapid rise compared to other regions in Bangladesh. Seasonal Tmax and Tmin rose in most parts of Bangladesh, particularly during the monsoon. In most areas, there was a significant (p < 0.05) increase in Tmax from June to September and Tmin in December. The variability of minimum temperature was considerably affected by warming throughout the country. The eastern area had the most significant (p < 0.05) annual rainfall increase rate, while the northern region had the lowest. There was evidence of inter-seasonal rainfall shipment, with post-monsoon rainfall rising compared to monsoon season. The quantile regression showed that the rice yield of Aus (summer) and Aman (wet) seasons were influenced by maximum temperature and relative humidity, whereas the rice yield of the Boro (dry) season was affected by maximum temperature, rainfall, and relative humidity. Across geographical segmentation, the regression analysis indicated a high level of variability in the northern climate. Overall, the intensity of mean temperature increased throughout the country. So, there is a need to develop heat or drought-resistant rice varieties and modernized irrigation facilities to mitigate these climate risks. However, farmers should employ automated weather-based advisory services for sustaining rice productivity and food security.

Impact of different domestic source markets on tourist behaviour

This paper examines the impact of different domestic markets on tourist behaviour in the popular tropical destination of Cairns, Australia. The study is based on a survey of 969 domestic tourists conducted in Cairns Airport. While it is appreciated that domestic markets are heterogeneous, little research has been conducted segmenting them by their different geographic origins. This study revealed that the demographic profile of visitors from four different Australian states was similar. However substantial differences were noted in trip profile, motive and subsequent in-destination behaviour. These findings add to our understanding of segmentation by adding a new variable to the current toolbox of segmentation methods. Using this approach to market segmentation, different marketing strategies targeted at different domestic source markets may prove efficacious. The findings suggest that geographic segmentation can be a valuable tool to complement other segmentation strategies adopted in domestic tourism.

Banking Integration and Capital Misallocation: Evidence from China

Abstract Using the staggered intercity but within-province deregulation of local banks in China as exogenous variations, we evaluate the effect of banking integration across geographical segmentation on capital misallocation. Based on an administrative data set comprehensively covering Chinese manufacturing firms, we find that for firms with initially high marginal revenue products of capital (MRPK), the integration increases physical capital by 19.3%, and reduces MRPK by 33.1% relative to low MRPK firms. Our findings are more pronounced for non-state-owned firms and firms with higher exposure to integrated banks. Integration also significantly increases the responsiveness of firms’ investments to deposit shock on other cities within the same province. (JEL G21, G32, D24) Received October 12, 2022; editorial decision July 11, 2023 by Editor Isil Erel

GeoSS: Geographic Segmentation Security Barriers for Virtual Emotion Detection With Discriminative Priorities in Intelligent Cooperative Vehicular System

A development of the integrated vehicular system through ground and aerial cooperation using intelligent mobile robots and smart UAVs is required to support various applications including intelligent transportation, secure service, surveillance reinforcement. Also, it is highly anticipated that the applicability of virtual emotion is expanded continuously in smart systems. In this paper, we introduce a geographic segmentation security barrier system for the purpose of secure surveillance through virtual emotion detection in intelligent cooperative vehicular area with mobile robots and UAVs. The proposed system is necessary to provide discriminative priorities in the requested cooperative vehicular area consisting of mobile robots and UAVs with rapid construction. Moreover, with ILP formulation, we formally defined a problem whose goal is to maximize a total number of geographic segmentation security barriers such that the completed establishment of those barriers is done by a specific group of mobile robots and UAVs within the requested various districts where they are divided according to differential security priorities. To solve the problem, we devise novel schemes to return the maximum number of geographic segmentation security barriers so that it pursues the maximization of system lifetime consequently. Then, the proposed approaches are implemented through expansive simulations and their performances based on numerical results are evaluated clearly.

MARKET SEGMENTATION COMPONENTS AND THE PRODUCTIVITY OF INDIGENOUS OIL AND GAS COMPANIES IN RIVERS STATE, NIGERIA

Market segmentation strategies are critical to organisational success as when properly executed, aids to enhance productivity. However, most organisations despite the importance of these segmentation strategies, do not boarder, consequently, organizational losses or failures are experienced. The objective of this study was to evaluate the effect of market segmentation components (Behavioural segmentation, Geographical segmentation, Demographic segmentation) on productivity of indigenous oil and gas companies in Rivers State, Nigeria. Survey research design was adopted for the study. The population of study consist of 322 management staff of 11 indigenous oil and gas companies in River state, Nigeria. Total enumeration was used for the study sample size as the population was not large. Primary source of data collection was adopted via a validated instrument. Cronbach alpha reliability coefficients for the constructs ranged from 0.608 to 0.768 Simple random sampling technique was used and 307 copies of the questionnaire came back representing 84%. Data was analysed using descriptive and inferential statistics. Multiple regression was used to test the hypothesis. Findings indicates that Market segmentation components (Behavioural, Geographical Demographic,) have significant effect on productivity of indigenous oil and gas companies in River state, Nigeria ((Adj.R2 = 0.627; F (3, 303) = 172.594, p < 0.05). The study concluded that market segmentation components have significant effect on productivity of the selected indigenous oil and gas companies in Rivers State, Nigeria. The study recommended that management of indigenous oil and gas companies in River State should conduct market research to identify their target market and their needs, preferences, locations, and behaviours as to remain sustained in business.

A two-stage business analytics approach to perform behavioural and geographic customer segmentation using e-commerce delivery data

ABSTRACT Customer segmentation is considered the cornerstone for personalisation, target advertising, and promotion assisting both researchers and practitioners to enhance customers’ buying behaviour understanding. Pertinent literature mainly exploits one distinct segmentation type such as behavioural to segment customers solely under one lens. We develop a two-stage business analytics approach that introduces a combination of geographic and behavioural customer segmentation. Our approach is based on data mining and machine learning techniques. We evaluate the suggested approach using e-commerce home delivery data. First, we segment customers based on the products ordered to identify behavioural customer segments with similar product preferences. Then, we perform geographic segmentation. By applying the approach developed we also identify challenges that affect the segmentation process and results. The suggested approach can serve as a guide to business analysts to understand which are the steps that they should perform when analysing similar datasets. Whereas its results may assist third-party logistics (3PL) companies, retailers, and brands in supporting decision making.

Analysis of sun-and-beach markets on large islands in the mediterranean using tourist acommodation prices as an indicators Edit Download

Purpose – This paper uses the prices of holiday accommodations on large Mediterranean islands specialising in sun and beach tourism to determine their initial state in 2015, their competitiveness and their further evolution until 2019. Methodology/Design/Approach – Following the process of each potential tourist, a total of 21,628 prices were collected from the Internet. Then, the collected data were used in the construction of charts and price indices and the application of a method of cluster analysis (HAC). Findings – Between 2015 and 2019, tourism prices in the Mediterranean region increased sharply. Moreover, the geographic segmentation already observed in 2015 between Western and Eastern Mediterranean destinations intensified. In addition, the paper shows that there is robust demand for sun and beach tourism in island destinations. Originality of the research – Major island markets specialising in sun and beach tourism were used to exclude any interference from professional travellers, people visiting friends or relatives, or tourists willing to bear the cost of travel to less visited destinations.

Upaya Pelaku UMKM Mempertahankan Bisnis di Masa Pandemi Covid-19

This study aims to determine the implementation of Mas Kuning-Kuning market segmentation during the pandemic and to find out the Mas Kuning-Kuning market segmentation strategy during the Pandemic. The type of survey used in this survey is a qualitative descriptive method. A qualitative method is a research method that uses a natural data collection system to interpret the phenomena that occur when the researcher is the main tool. Sampling of permanent sources, combining sources from populations and collection techniques, information analysis tends to be descriptive and uses qualitative analysis, and the results of qualitative analysis are more meaningful than generalizations. Emphasize. Data collection technology through activities: documentation, interviews, observation. The data processing and analysis techniques that will be used in this study are started by collecting data, reducing data, presenting data and drawing conclusions. The results obtained from the research show that the implementation of market segmentation was carried out by Mas Kuning-Kuning where he divided consumers into 4 types of market segmentation. Where the 4 types of segmentation are behavioral segmentation, psychographic segmentation, demographic segmentation and geographic segmentation. The market segments chosen by Mas Kuning-Kuning during the Covid-19 pandemic were behavioral segmentation, psychographic segmentation, demographic segmentation and geographical segmentation. Of the four segments that are most focused on are geographic segmentation and behavioral segmentation. Consideration of choosing geographic and behavioral segmentation due to the pandemic.

STRATEGIES FOR DEVELOPING HAJJ AND UMRAH TRAVEL IN THE PANDEMIC ERA: A STUDY BY DUTARIZKIA TOUR AND TRAVEL IN DEPOK

The results of the analysis concluded that Depok and Umrah Tour and Travel applied word-of-mouthstrategy as the main strategy, applying geographic segmentation, demographic segmentation, andpsychographic segmentation as a mapping strategy; single-focus (niche) marketing targeting strategy; andpositioning strategy is “best service”. Mixed with marketing mix theory (1) product: formulating a newproduct, namely gold savings; (2) price: “at the market”; (3) promotion: actively using social media andmaintaining relationships with alumni and partners; (4) distribution: housing and services forimplementing employees can be carried out at the office or at home visits. Dutarizkia Tour and Travelformulates to serve products that are useful for prospective pilgrims. This activity is supported bypromotions on social media and continuing ongoing relationships with alumni and partners.

Ranking of Product in E-store using WASPAS Method

Market segmentation is demographic, psychographic, behavioural and geographic segmentation division size and growth, sect structural attractiveness, and company objectives and resources utilization. Market segment evaluation is: the market will need the number of customers, their income and the type of product you offer. Market segmentation is estimation by looking at the number of people in the segment. Multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve some of the market segment evaluation problems. The performance of the reference point approach and full multiplicative MOORA method are also tested for the considered problems. It is observed that all these three methods are very simple to understand, easy to implement and provide almost exact rankings to the market segment alternatives. Degree of concentration, laws and government agency regulations, types of competitor, contribution margins, complexity, growth rate per year and evaluation parameters in segment factors, competition, technological factors, socio-political factors, financial and economic factors. Contribution margins are the first rank whereas the laws and government agency regulations have the lowest rank. In this paper market segment evaluation contribution margins is got the first rank whereas is the laws and government agency regulations is having the lowest rank.

Model Promosi Pada Simpanan Berhadiah Dalam Meningkatkan Kuantitas Anggota di Baitul Maal wa Tamwil

Currently, competition for Islamic microfinance institutions is getting tougher. Various ways are done to attract customers' interest. However, some institutions still have not found the right promotion model. The purpose of this scientific research, the researcher explores the promotion model carried out by management to increase the quantity of members at BMT Mubarakah Kudus. After conducting a series of studies using systematic and measurable qualitative descriptive research methods, the following data can be obtained: the segmentation carried out by BMT is geographic segmentation, situation and use and benefits. The targeting carried out by BMT Mubarakah has been adjusted to the target market and positioning has also been carried out by BMT, so that by carrying out these three promotional models it can increase the quantity of deposit members with prizes at BMT Mubarakah. With this promotion model, there are several members who have savings accounts with prizes of more than 5 accounts, so the more accounts they have, the greater the opportunity for these members to get prizes drawn at the end of the period.

Environmental Education and Ecotourists: Experience from the Yucatan Coast, Mexico

Ecotourism is a tourism modality intricately linked to the principles of sustainability, due to its natural offer component and environmental education. The objective of this research is to evaluate the perception of ecotourists present on the coast of Yucatan. From a regional approach, the author selected twenty-five community-based ecotourism ventures (CBET) present in the area and analysed the perception of ecotourists through a questionnaire and its respective statistical analysis with nonparametric tests, and developed a general profile of the ecotourist applying a sociodemographic segmentation and based on a geographical segmentation the author compared the perceptions of two populations: national ecotourists and international ecotourists. The data reveal that the profile of the ecotourist on the coast of Yucatan is similar to that postulated in the literature. In terms of environmental perception the author found a significant difference in both populations, and believed that this difference is because the international market is more critical and demanding. In addition, areas of opportunity were documented in the CBETs in the way they carry out their environmental communication. The author concluded that ecotourism in the region is still an activity in consolidation and although it presents great achievements. It is still not possible to qualify it as a sustainable activity. We call for continuing deepening the studies of ecotourism demand and evaluation of perception, through comparative, longitudinal studies and with new variables that allow new test statistics, to contribute new elements to the ecotourism debate.

Distance decay and public transportation usage among select professional Seattle sport fans

Sport organizations are engaging in more advanced environmental sustainability efforts to reduce their environmental impacts. In particular, sport organizations and venues can align their environmental goals with the surrounding city’s environmental objectives. In this study, we examine the relationship between the city and the various sport venues given the city’s agenda to reduce pollution by encouraging the use of public transport. Through ticket purchase data and GIS analysis, we examine how the city capacity helps sport venues fulfill their environmental goals to reduce the environmental impact from fan transportation. We identified the geographical fragmentation of sport fans and found that most fans live beyond five miles of a light rail station. This distance decay from the station makes fans reliant on another form of transportation. Researchers and practitioners can use this approach to leverage internal data and GIS analyses to understand the influence of geographical segmentation of their fans and the influence of this distribution on the environmental impact of fans. This analysis also provides the foundation for future researchers to further examine transportation behaviors of sport fans and the effect of distance decay from transportation stations on sustainable transportation choices.