Buying Process Research Articles

Sosialisasi Peningkatan Pengetahuan Keamanan Dalam Jual Beli Online

The increasing number of internet users makes Indonesia a very potential market for e-commerce. The growth of the middle class and the literacy rate of online buyers and sellers is also growing. E-commerce itself is not new, but its rise marks a new milestone for this industry in the country. Although it is growing quite rapidly, there is still one major problem that is preventing e-commerce in Indonesia from taking off, namely the problem of consumer trust in e-commerce sites. Consumers still do not trust the sales system with a non-physical buying and selling process, do not trust to provide credit card numbers to e-commerce services and are still afraid of fraud. However, this crisis of trust can actually be solved. One of the many ways is to use a payment service that has guaranteed security. Not all e-commerce can provide their own payment system, now there are many services that provide a secure payment system and are especially easy to apply to online stores. E-commerce players can use this payment system easily, quickly and which can improve the performance process in their online stores. However, the selection of services that provide a payment system must also be considered carefully. A secure payment system provider will provide a sense of security to prospective buyers, meaning that consumer trust must be built by e-commerce service providers so that consumers can be comfortable and do not encounter problems in making purchases and paying for products in the online stores provided.Security is important, the use of credit cards is widely highlighted because there are still many unpleasant incidents or fraud that occur due to the use of credit cards. Education on this security needs to be carried out continuously, because it will be related to consumer behavior.

An Empirical Study of the Impact Digital Ecosystem on Alpha Generation Purchase Intention: From the Perspective of Flow Experience and TPB

The digital Ecosystem is a multifaceted network that includes social media, e-commerce, socio-commerce, and gaming, where each component influences the others. Social media, for instance, has fostered the growth of socio-commerce by merging social interactions with commercial activities. This research explores the dynamics within this Platform, focusing on factors that drive Purchase intentions, particularly among the Alpha Generation, who are growing up in a digital-first world. The study finds that Attitude, Flow Experience, and Subjective Norms all significantly affect Purchase intentions. Among these, Attitude is the most influential, highlighting how consumers' emotions, feelings, and beliefs shape their Purchase decisions. This is especially important for the Alpha Generation, who are deeply embedded in digital culture and highly influenced by their online experiences. The significance of Flow Experience, which refers to the enjoyment and engagement during the Purchase process, emphasizes the need for a positive shopping experience to enhance purchase intentions. Additionally, Subjective Norms, or the impact of societal expectations and social pressures, play a crucial role in consumer decision-making, particularly for the socially connected Alpha Generation. The research quantitative approach and correlational design, confirms that these factors are key determinants of Purchase intention, aligning with existing consumer behavior theories. The study's sample of 115 participants met the required criteria, ensuring reliable and valid findings.

Venture Clienting in Corporate Practice: What type of Established Companies are Using the Venture Client Model?

Start-ups have become a pillar of EC' open innovation initiatives. With the aim of accessing start-up innovation, established companies (EC) use various corporate venturing modes. However, as established corporate venturing modes (e.g. corporate venture capital or accelerators) do not provide direct access to start-up innovation, the venture client model (VCLM) is receiving increasing attention in corporate practice. In the VCLM, ECs become paying customers of start-ups without taking equity - they become venture clients. In joint pilot projects, they apply start-up solutions to their products, processes or business models in order to solve relevant business problems and create strategic impact for increased competitiveness. The literature lists different EC using the VCLM such as BMW, Bosch, Continental, Daimler, Siemens, or ZF. This suggests that the VCLM is only used in EC with tens of thousands of employees, from Germany and in technology-intensive sectors such as automotive, mechanical engineering or telecommunications. On the other hand, GIMMY describes the suitability of the VCLM for any EC. However, in order to develop practical solutions to the challenges of the VCLM (e.g. slow purchasing, legal and IT processes or lack of acceptance of start-ups as collaboration partners), it is necessary to know the users (type of EC) of these solutions. Therefore, the aim of this paper is to characterize the EC using the VCLM with respect to industry, size and regionality.

Akuntansi Belis dalam Adat Perkawinan Masyarakat Kabupaten Sikka

This research aims to describe the identification, measurement, presentation and disclosure of belis accounting in the marriage customs of the Watugong Village community. This research data was obtained from interviews, observations, documentation and literature studies regarding the stages of belis in the marriage customs of the Watugong village community. This research produces data that can be used as information and consideration in making decisions regarding accounting. The results of this research: identification in Accounting is said to be relevant because in the buying process economic transactions can be identified; This research shows the process of measuring belis, measured using fair value, which is in accordance with the market price set at that time; The researcher presents a journal description and a summary of profits or losses from both parties, which can be used as reference material for future purchasing processes, documentary evidence and economic considerations.

To What Extent Does Online Advertising Influence Consumer Purchases?

This research is to evaluate the extent to which online advertisements influence consumer purchases. With the popularization of the Internet, online advertising has become increasingly rich and diverse. First of all, this research analyzed the history of advertising and how advertising works, explored all the different types of advertising. Then, based on the existing research content and practical situation, three representative types of influential advertisements were selected from various types of online advertising for research. These three representative types of advertisements are: paid search advertising, social media advertising, and video advertising. The study conducted an in-depth analysis of the operational models of three types of online advertising, their impact on consumers, and the similarities and differences among the three types of advertising. Based on comparative research, draw research conclusions. Online advertising can have a certain degree of impact on consumer behavior, and compared to social media advertising and video advertising, paid search advertising has a greater impact. Finally, based on the analysis of the impact of online advertising on consumer purchases, the role and economic benefits of online advertising in the entire purchasing process were further summarized. This will be more helpful for production enterprises, advertisers, and consumers to make better decisions and facilitate the efficient operation of the market economy.

Sistem Jual Beli Online dalam Perspektif Hukum Islam: Studi Kasus di Facebook Temanggung

This reseach contains at study of online buying and selling systems in the perspective of islamic law in tehe buying and selling process of online facebook grups for wong temanggung. This research uses deskriptive qualitative research menthods. The results of this study found that there was a sale and purchase that me the requirements and harmony, but someting the seller and buyer met in a virtual assembly because sellers and buyers are not in one country sometimes meet face to face for affordability place according to the rules written on facebook.

Neuromusic: Music and its Influence on the Purchase Process in the Markets

Music the art of combining sounds, maintains a sequence of time with harmony, melody and rhythm, generates changes in cognitive processes, improves concentration, memory, influences mood, produces changes in emotions, helps control anxiety, increases motivation, and decreases cortisol levels, the stress hormone, activates the hormone of happiness and rest, serotonin and melatonin. The objective was to analyze the influence of music in the purchase process and decision. The approach was qualitative-quantitative, exploratory level, descriptive statistics was applied to identify the main trends and musical genres. The survey was carried out online, in the "La Condamine" market (November-December 2022). The sample 354 customers. The results of the investigation determined that customers enjoy listening to instrumental sounds in the food court, and in the vegetable, fruit and vegetable section; and the musical genre pop and/or reggaeton in the clothing section. The survey data was corroborated with the results of the biometric eyes tracking equipment in eight participants, attention, meditation and blinking were analyzed, with two sounds, sound 1: folk music and sound 2: pop; the average of the evaluations determined the level of acceptance of the participants for the musical genre, confirming the traditional survey with the results of the biometric equipment. Hearing goes beyond what can be perceived with sight and smell; there are sounds and melodies that connect us with emotions (laugh, cry, enjoy) and memories. It is concluded, (i) consider the musical genre according to the segment, (ii) the hours of greatest influx of customers, (iii) areas or sections of the market with greater or lesser product sales, (iv) slow music in places with more expensive products to extend their stay in the establishment.

Neuroemotions and Behavior in the Purchase Process

Emotions are the fundamental pillar of neuromarketing, the perception of hedonic, utilitarian value, the emotions experienced by customers during the buying process and the effect the behavior of each stage is seen from the brain structures of the mind. The sample selected for the study was 354 real customers of supermarkets in the city of Riobamba and the sample of 8 participants with the use of eye tracking glasses in the store tour during this process. The results, in three stages of the process system (inputs, processes and results) with the emotions involved in each stage. Stage I are: uncertainty, joy, anger/anger/anxiety, happiness, curiosity. The emotions in stages II and III are joy, surprise, satisfaction, security, and confidence and the emotions felt in the Evaluation Stage are satisfaction, exhaustion, demotivation, joy, and anger/anger/anxiety. There are hormones and neurotransmitters that are involved with emotions at different stages of the buying process. The right brain hemispheres are activated in negative emotions, left in positive emotions in all stages of the buying process. Brain structures are also activated at each stage of the buying process. The results of the Eye tracking in the comparative analysis analyzed Meditation, Attention and Blinking in the stages of the purchase process. It is concluded that repurchase and recommendation intentions are determined by positive emotions which, in turn, are determined by the hedonic and utilitarian value of the product and services that reduce negative emotions.

Influence Of Neuromarketing On Consumer Purchase Levels: Ambato Case Study - Ecuado

This work has been done with the purpose of determining the influence of neuromarketing in the levels of consumer purchase of the Paseo Shopping Ambato Mall, neuromarketing has applied neuroscience techniques focused on marketing in order to study different brain areas that are activated in the consumer when choosing a product as well as it is based on the consumer, since its objective is the identification of the impact generated by a product or brand, the understanding of the consumer when making a purchase or acquisition and the identification and satisfaction of customer needs, along with the characteristics measured by neuromarketing, which are attention, emotion and memory. The objective of the research is focused on analyzing the influence of neuromarketing in the purchase process, relating the importance that requires broadening knowledge in the understanding of the levels and stimuli that are emitted by the brands of the different products that are offered in a shopping center. The present investigation determines the neuromarketing actions to better understand the expressions and non-verbal reactions that consumers develop, associated with the advertising practices that are used in the Paseo Shopping Ambato Shopping Center; where commercial sales transactions become the result of the emotions shown by consumers towards a certain product or service. The analysis is obtained by applying a conceptual investigation on the fundamentals of neuromarketing in the purchase decision process and its influence towards a specific decision. Neuromarketing has positively influenced the purchase of a certain product by the consumer.

Traders Activities In The Kertak Hanyar Sunday Market Banjar District

The market is a place of economic activity for the local community. Traditional markets are synonymous with the buying and selling process which is carried out through bargaining. Trader activities at the Kertak Hanyar Sunday Market occur every day and are still occurring today. However, the development of digital technology has now brought changes to society in making buying and selling easier. Of course, this threatens and disturbs the Kertak Hanyar Sunday Market traders in Banjar Regency. This article aims to describe the activities of traders at the Kertak Hanyar Sunday Market, Banjar Regency. The research method used is qualitative, and structured descriptively. The data collection techniques were carried out using observation, interviews, documentation, recording, and literature study. The results of this research describe that trader activities at the Kertak Hanyar Sunday Market are open from 08.00-16.00 WITA. Traders sell directly in the market every day, but because of the sophistication of digital technology, they are now starting to use it, such as e-commerce (electronic marketing), e-money (digital payments), and social media. Of course, this has both positive and negative impacts on traders. Therefore, there are several strategic concepts in their efforts to deal with this.

Exploring the customer perceived value of online grocery shopping: a cross-sectional study of Korean and Chinese consumers using Means-End Chain theory

Objectives: Despite the growing market share of online grocery shopping, there is a need to understand customer perceived value due to the ongoing advancements in information technology. This study explores the connections between attributes, consequences, and values. Additionally, it conducts a cross-country comparison of consumers’ online grocery shopping behaviors to gain a deeper understanding of consumer market segments and any potential variations among them. Methods: Data was collected through an online questionnaire survey conducted from May 1 to 15, 2024, targeting 400 consumers in Seoul, Korea, and Shanghai, China, who have experience with online grocery shopping. The survey utilized the Means-End Chain theory and association pattern technique hard laddering. Data collation and analysis were conducted using the IBM SPSS Statistics 28.0 program. The LadderUX software was employed to analyze the links between attributes, consequences, and values and create the consumer purchasing process’s implication matrix and hierarchical value map (HVM). Results: The study identified key attributes that influence online grocery shopping decisions, including delivery service, price, freshness, and quality. Korean consumers demonstrated a higher sensitivity to price (19.0%) and delivery service (17.0%). In contrast, Chinese consumers prioritized delivery service (15.0%) and after-sales service (14.8%). Commonly cited consequences included time saving (12.6% for Koreans, 11.3% for Chinese), whereas prevalent values encompassed convenience (36.8% for Koreans, 19.6% for Chinese) and economic value (26.6% for Koreans, 14.7% for Chinese). The HVM underscored these insights, highlighting diverse consumer preferences and country-specific nuances. Conclusions: The findings highlight the current state of online food consumption and consumers’ value systems, revealing variations among countries. These findings offer empirical insights that can be used to create customized global marketing strategies that resonate with various consumer preferences and market dynamics.

Understanding self-esteem in the consumer journey: A model of purchase self-esteem antecedents

While the significance of self-esteem in various consumer behaviors has been well recognized, there is still a noticeable research gap in understanding its specific determinants, especially in the context of the purchase process. The purpose of our study is to fill this gap by elucidating the factors shaping consumers’ self-esteem throughout the purchase journey utilizing our model of purchase self-esteem antecedents. Based on social exchange theory and affect theory of social exchange our model proposes that consumer brand engagement (CBE) and feelings of authentic pride play an important role in predicting self-esteem. We tested this model with longitudinal data collected at two measurement times: 1 week before a purchase (n = 111) and around 1 week after a purchase (n = 99). The longitudinal structural equation modeling results revealed that CBE elicited feelings of authentic pride, and feelings of authentic pride led to higher self-esteem. Both relationships were statistically significant within and between measurement times. The results confirmed that authentic pride mediated the relationship between CBE and self-esteem. These findings provide strong support for our model of purchase self-esteem antecedents.

Analysis of Laptop Purchase History to Determine Key Factors Using Logistic Regression

E-Commerce is a new concept commonly described as the process of buying and selling goods or services over the World Wide Web or the exchange of products, services, and information through information networks, including the internet. Tokopedia, one of the largest e-commerce platforms in Indonesia, markets many products, including electronics. This study analyzes laptop data from Tokopedia. The vast history of purchase data and customer data in Tokopedia's database offers various ways to process it. One approach is using logistic regression models. The logistic regression results on the three features (price_cat, memory_size, and merk_cat) indicate that all three can be used to create logistic regression equations to determine laptop purchase probability. However, the regression calculations show that the r^2 value for price_cat is the highest at 0.82, indicating that price_cat significantly influences the probability of purchasing a laptop.

THEORETICAL BASIS OF DETERMINING UKRAINE'S PLACE IN MODERN INTERNATIONAL ECONOMIC EXCHANGE

The article raises the issue of determining Ukraine's place in modern international exchange. International economic exchange is carried out in all directions of international relations. The subjects of exchange are innovations, technologies, finished products, finance, labor force. These processes are facilitated by the creation of various network structures, within the framework of which foreign economic relations take place and the processes of exchange, purchase and sale are carried out. The basic economic categories that form the basis of economic policy in the formation of international economic relations are defined. The essence of these categories, their components and challenges for national interests in the context of international integration are given. It is noted that globalization provides access to new markets, technologies and investments, but requires countries to adapt, increase competitiveness and ensure economic security. States should actively work on strategies that allow national economies to successfully integrate into the global economy, while maintaining economic sovereignty and ensuring sustainable development. It is justified that the determinants of foreign economic relations of the Ukrainian economy are multifaceted and include economic, geopolitical, ethnic, historical, cultural , institutional and spatial-resource aspects. Each of these factors affects the formation of foreign economic policy and determines Ukraine's international position. The interaction of these determinants shapes the country's strategy in the international arena, influencing its economic growth, development and integration into the world economic system. It is substantiated that the basic economic categories are the foundation for the formation of international economic policy. Understanding and correct use of these categories allows countries to effectively integrate into the world economy, support economic growth, strengthen their international positions and ensure the well-being of the population. Economic policy based on the analysis of these categories contributes to the development of international economic relations and the achievement of the country's strategic economic goals.

A Review Study on Role of Chatbot in Consumer Buying Process

A Review Study on Role of Chatbot in Consumer Buying Process

Implementation and Optimization of Digital Ticket Applications Using Java in Online Sales Systems

Online digital ticket sales have become one of the main methods of distributing tickets for various events, from concerts to transportation. Although many digital ticketing applications are available, there are significant challenges regarding performance, security, and integration with payment systems. This research aims to implement and optimize a digital ticket application using Java in an online sales system to increase efficiency and security. This research methodology includes the development of Java-based applications with a microservices architecture approach, which allows separation of functionality and increases scalability. This application is designed to manage the ticket purchasing process, including event selection, payment, and electronic ticket delivery using QR Code technology for verification. In the implementation process, Spring Boot technology was used for server-side development and JavaFX for the user interface. The results of this research show that the Java-based digital ticket application developed can manage transactions efficiently and safely, and can handle high user volumes without significant performance degradation. These findings provide an important contribution in the field of digital ticket application development and can be used as a reference for implementing similar systems in various sectors.

CUSTOMER SEGMENTATION AND LIFETIME VALUE PREDICTION

Customer segmentation and lifetime value estimation are two areas of development today. Today, the business world works differently, so machine learning uses different algorithms and different models to increase business efficiency. The value of life measured by its results is the bond between the customer and the company, as well as the value of the customer for the company. The reason for choosing this project is to examine the predictive behavior of future personalization models. From the company's perspective, this model can be very effective in terms of customer relations. Both segmentation and LVP are good for strategy development in business. As the world continues to evolve with major changes in technology, it is only natural to do such a project. LVP has a lot of predictive power when evaluating the customer buying process and choosing the best services to offer to different customers. Current methods for estimating CLV involve developing a model that uses all customer-based inputs. This not only loses the granularity of the data, but also makes the marketing plan less effective from the customer’s perspective. This article focuses on the advantages of intelligently combining small models by focusing on separate models for different customers. This allows companies to effectively use customer data to make informed decisions. Using the data as an example, the proposed multi-project study where the learning experience is shared with relevant groups increases the CLV estimation accuracy compared to using a single model size with some minor modifications. Moreover, the same method reduces the standard deviation of the error when compared with a large sample. Most importantly, when the groups have different data to train, multiple learning models will outperform single-shot models, which is normally considered a more difficult task. These results show that multi-task learning can be more effective than existing business models and can be a better alternative to existing models.

Penjualan Gabin Fla Susu Menggunakan Website

Utilizing a website in selling creative food products can arouse the interest of potential buyers in the buying and selling process because the quality and trustworthiness of the products sold is guaranteed, gabin biscuits are the basic ingredient and flan is the filling and the sales instrument via the website adds to the impression of modernizing MSMEs in order to create advanced MSMEs for Indonesia. This Gabin Fla product also adds value to students' creativity because it is almost impossible to find this product in grocery stores or supermarkets in the Palopo area. The methods for implementing this program are input, process (production), output, and evaluation. The results of this program are input, conducting market surveys to determine market conditions. Next is a feasibility study of the business to be run. The final stage is selecting materials and providing a place as well as facilities and infrastructure to support the production process. Process (production), the process of making gabin fla starts from the preparation of materials and tools until the milk gabin fla is ready to be marketed. Output, namely the creative result of milk gabin fla which is ready to be consumed and marketed to consumers. The final one is evaluation, namely this stage is carried out when the production of milk gabin fla products has been completed. At this stage we will review what shortcomings make consumers dissatisfied with consuming our products. Conclusion: selling gabin fla using this website which has sales value can provide skills to students to remain innovative and creative in processing traditional snacks by innovating with websites, providing opportunities for students to practice entrepreneurship with a comprehensive, modern understanding of entrepreneurial concepts, and building student enthusiasm for keep doing business.

Utilization of Digital Marketing Landing Pages for Small Businesses; Studies for Community Service

The reality is that for the rnajority of business owners, product rnarketing carried out by srnall business groups is still done through conventional rnarketing. This is considered less effective and efficient. One of the digital rnarketing rnedia that is widely used by business people is landing pages. To help expand the rnarketing process for products produced by these srnall business groups, activities to introduce landing page creation were carried out which can help expand the rnarketing area. The rnethod used in this cornrnunity service activity is counseling. The benefits obtained include, "can increase knowledge about the use of digital rnarketing, especially landing pages in rnarketing, through digital rnarketing, the rnarketing area becornes wider, so that it can reach consurners outside the region, the hope is that in the future the arnount of incorne will increase." So "digital rnarketing landing pages" need to be developed further by paying attention to changes in consurner behavior both in the purchasing and payrnent processes.

Machine learning-based clothing recommendation system for women: case study of Lady's confecciones

This paper presents a clothing recommendation system for women based on their body type, aiming to facilitate the purchasing process on the online sales channel of the company Lady's Confecciones located in the city of Santa Marta, Colombia. For this process, a user interface was designed to function in two ways: using a prediction model that takes as inputs a photograph of the user and their height, and a manual mode that receives the measurements of bust, hip and waist. The prediction model implemented the OpenCV library and the skinned multi-person linear (SMPL) model to process images and predict body shape and pose. Five body types were considered: triangle, apple, rectangle, hourglass and inverted triangle, differentiated by bust, waist and hip measurements, according to the conditions provided by the company. The system was able to predict the body measurements of the female participants with a maximum Pearson correlation coefficient of 0.97. For predicting body type, the best results were obtained for the rectangle body shape, with an accuracy of 92.31%.