White Label Research Articles

Eksplorasi Model Bisnis E-Commerce dan Penerapannya pada Industri Pariwisata

Successful e-commerce companies have business models that leverage the uniqueness of the web, providing real value to customers. Understanding and awareness of the importance of e-commerce business with its various models among business actors is still low. Implementation, especially in the tourism industry, is also not optimal, so it cannot improve company performance. The purpose of the study was to comprehensively explore e-commerce business models and their application to the tourism industry, which has never been done before. The method used is library research, using critical analysis techniques. This study found 36 e-commerce business models: B2B, B2C, C2C, C2B, B2B2C, B2G, G2B, C2G, G2C, G2E, G2G, B2A, C2A, O2O, B2P, C2P, G2P, P2C, P2G, P2B, P2P, Mobile Commerce (M-Commerce), Social Commerce, Influencer Commerce, Video Commerce, Direct-to-Consumer (D2C), Dropshipping Model, Wholesaling & Warehousing Model, Private Label & White Label, Subscription E-Commerce, Marketplace E-Commerce Model, Niche E-Commerce, Digital Products & Downloads, Brick-and-Click, Business Process Reengineering (BPR), and Canvas in E-Commerce. The use of e-commerce in the tourism industry is known as electronic tourism (e-tourism) and tourism e-commerce. In its implementation, there are 22 e-commerce business models, including: B2B, B2C, C2C, C2B, B2G, B2B2C, G2G, G2B, G2C, G2E, M-Commerce, B2E, G2B2C, G2N, G2V, and there is a new model based on tourism supermarket & adaptable workflow mechanism-M-TSAW. Each of these models has its own characteristics, and there are several impacts of e-commerce on the tourism industry.

Partners in Crime: Comparative Advantage and Kidnapping Cooperation

What explains cooperation between armed groups? Challenging existing literature that assumes armed groups must be similar or not cooperate at all, I argue that explicit differences are key to some cooperation. Comparative advantage explains why rebels and criminals—organizations that typically eschew collaboration—cooperate to produce violence. This article introduces “black market white labeling”—cooperation that emerges when one actor buys an illicit good or service from another and re-brands it as their own. To demonstrate this phenomenon and the conditions under which it occurs, I focus on kidnapping, an underexplored but common form of armed group violence. Drawing on 113 interviews with Colombian kidnappers and hostage recovery personnel from Colombia and the United States, I theorize the conditions under which rebels “outsource” violence to criminal gangs or produce it “in house.” This article explains the organizational dynamics of rebel-criminal cooperation that perpetuate violence against civilians.

The use of artificial intelligence in adapting process of UI design system for end customer requirements

This paper demonstrates an approach for developing an AI-based UI design system to improve a company white labeling (aka rebranding) process. This is the process of removing a product or service's original branding and replacing it with the branding of another company or individual. The main objectives of the research include the development of methods for optimizing rebranding, automating the delivery of designer work results, and achieving project-wise improvement in the design adaptation process for the end distributor, known as the white-labeling process. The research objective is to analyze the existing rebranding process and to analyze ready-made solutions using artificial intelligence to improve it. This research identifies innovative methods for implementing artificial intelligence in the rebranding process to facilitate and speed up tasks related to design and marketing. Research methods include analyzing existing rebranding practices, considering ready-made solutions using artificial intelligence, and conducting experiments and practical application of new methods to improve the process. The scientific novelty of this research lies in the implementation of artificial intelligence in the rebranding field and the development of effective methods for its improvement. As a result, improvements are achieved through the deployment of an AI-driven solution, meticulously engineered around the design token concept, serving as a pivotal element for standardizing and harmonizing the work of designers. This methodology involves a comprehensive adjustment of the AI model to seamlessly integrate with existing design systems, thereby facilitating the transformation of design systems and brand books into tangible design tokens. The process of integrating AI into design workflows involves extensive model training using openly accessible community data. Careful consideration is given to the selection of datasets, ensuring that they meet rigorous criteria for evaluating the quality and efficacy of artificial intelligence learning. These criteria encompass factors such as data relevance, diversity, and representativeness, as well as considerations for ethical and legal compliance. As a conclusion: by leveraging this meticulously crafted approach, organizations can effectively harness the power of AI to drive transformative change in design processes, ultimately enhancing efficiency, consistency, and innovation across their operations. By adopting various AI integration aspects, this paper provides an updated UI design process with the ability to use AI during client-centric design development.

Issue Information

Cover Photograph: Axolotls can regenerate their spinal cord using neural progenitor cells. In this cross‐section image, SOX2 (white) labels neural progenitor cells at the spinal cord lumen, while DAPI (blue) labels all nuclei. (see Arbanas et al. pp 414‐425). image

HOW DID THE E-COMMERCE FOR BEAUTY INDUSTRY DEVELOP IN KOREA COMPARED TO ROMANIA?

E-commerce has nowadays become a type of business that the younger generation prefer rather than industrial business due to the little costs of developing. The efficiency and fast turnaround time of a little investment in an e-commerce business makes people oriented towards. The reason for choosing the beauty industry for our analysis is that the industry gained numerous new white label products launched by various brands lately therefore e-commences embrace them and promote them properly. The beauty industry has now a greater number of consumers due to the various benefits such as skin care routine and careful face hygiene. Korea is one of the countries that produce and develop a strong industry having advanced technology for producing high quality beauty products. Romania is an import country of beauty products with an enormous interest in Korean skin care products and cosmetics. The two countries developed the idea of cosmetics business using online methods and e-commerce platforms. The purpose of this analysis is to find the differences of promoting an e-commerce of beauty products on different platforms such as Naver and Google while outlining the tendency of customers behaviors in two totally different societies but also the way businesses can develop online while optimizing using specific platform engines so they can improve their performances. Therefore, we analyze a literature review on the beauty industry development, how this proceeds online during and after pandemic and how important are those for the Romania and Korea population. The research will ensure a better view of both platforms Naver and Google and how those are helping the e-commerce business in the beauty industry. We will see a proper comparison between the society’s approach for e-commerce in both countries and an applied example on how this works for each culture.

Engaging with startups through corporate accelerators: the case of H‐FARM's White Label Accelerator

Corporate accelerators have emerged in recent years as an innovation mechanism that builds bridges between corporations and startups. Through inbound Open Innovation (OI) activities, established firms open their innovation processes to startups to acquire their knowledge. Previous research has focused either on independent accelerators or on corporate accelerator programs that an established firm operates internally. The literature on how accelerators orchestrate different OI practices is sparse, yet large corporations are forging ahead with corporate accelerators. Furthermore, new corporate accelerator models have emerged, rendering the corporate accelerator phenomenon more heterogenous. In this paper, adopting an OI lens, we explore the White Label Accelerator (WLA), a recent model in which an independent accelerator manages the program on behalf of a single corporate organization. Through an in‐depth case study of Technogym Wellness Accelerator, a pioneer and most important WLA in Italy set up by H‐Farm on behalf of Technogym, a large fitness and wellness company, we investigate how such accelerators function as an OI tool. We found four key dimensions that enable successful outcomes. In particular, the importance of entrepreneurial alertness as a key driver for the effective exploitation of intellectual property represents a significant finding. Our research contributes to OI and entrepreneurial finance literature and provides insightful managerial implications to corporate accelerator stakeholders and startups' managers.

Diffusion-tensor-imaging 1-year-old and 2-year-old infant brain atlases with comprehensive gray and white matter labels.

Human infancy is marked by fastest postnatal brain structural changes. It also coincides with the onset of many neurodevelopmental disorders. Atlas-based automated structure labeling has been widely used for analyzing various neuroimaging data. However, the relatively large and nonlinear neuroanatomical differences between infant and adult brains can lead to significant offsets of the labeled structures in infant brains when adult brain atlas is used. Age-specific 1- and 2-year-old brain atlases covering all major gray and white matter (GM and WM) structures with diffusion tensor imaging (DTI) and structural MRI are critical for precision medicine for infant population yet have not been established. In this study, high-quality DTI and structural MRI data were obtained from 50 healthy children to build up three-dimensional age-specific 1- and 2-year-old brain templates and atlases. Age-specific templates include a single-subject template as well as two population-averaged templates from linear and nonlinear transformation, respectively. Each age-specific atlas consists of 124 comprehensively labeled major GM and WM structures, including 52 cerebral cortical, 10 deep GM, 40 WM, and 22 brainstem and cerebellar structures. When combined with appropriate registration methods, the established atlases can be used for highly accurate automatic labeling of any given infant brain MRI. We demonstrated that one can automatically and effectively delineate deep WM microstructural development from 3 to 38 months by using these age-specific atlases. These established 1- and 2-year-old infant brain DTI atlases can advance our understanding of typical brain development and serve as clinical anatomical references for brain disorders during infancy.

Data Science for a Smarter Currency Supply Chain: Optimizing Cash Flow with Machine Learning for White Label ATMs

Effective cash flow management in White Label ATMs (WLAs) ensures liquidity and reduces operational costs. This paper explores the application of data science and machine learning techniques to optimize the currency supply chain for WLAs. We developed predictive models using time series forecasting, regression models, and neural networks to forecast cash demand and optimize replenishment schedules by analyzing historical transaction data, seasonal patterns, and geographical influences. The proposed solution integrates these machine learning algorithms with traditional logistics to create a smarter and more responsive ATM network. Python, Pandas, Scikit-learn, and TensorFlow were used for data processing, model development, and evaluation. The dataset comprised three years of historical transaction data from a network of WLAs enriched with demographic and economic indicators. Our findings suggest that machine learning can significantly enhance the efficiency of cash distribution, minimize downtime, and reduce costs associated with cash handling and transportation.

Modern hotel profitability centers: spa and wellness in the Russian hotel space

In the article, the authors, based on the analysis of domestic and foreign theoretical and periodical literature, argue that in the scientific community and in the practice of the hotel business there is no unified understanding of the essence and content of the concepts of «spa» and «wellness» in the hotel space and the interrelationships between these phenomena. The authors believe that in the modern hotel market, a hotel (especially in the luxury segment and the middle price segment) that does not offer spa and wellness services is at a disadvantage in terms of attractiveness to guests. Some hoteliers doubt the role of the spa center as a center of profitability of the hotel, since the value of such an object lies in meeting the expectations of guests, and many guests no longer consider spa centers and related facilities such as a fitness room, swimming pool, etc. as a luxurious addition to the services offered, and the developed hotel spa space is perceived as the standard for a modern hotel concept. The search for a solution to the problem of monetization of the hotel spa has led to the emergence of various economic models for managing the spa division: (1) direct management of the spa infrastructure by the hotel enterprise itself; (2) management by a third party; (3) rental of premises; (4) white label. In the article, the authors consider various methods used by Russian and foreign hoteliers to optimize hotel revenues through the activities of the hotel spa center. The authors conclude that despite all the existing problems, spa and wellness have become an integral component of the modern hotel business. Therefore, hoteliers must learn how to manage this new type of activity using effective economic models, creating original and profitable spa and wellness hotel concepts that harmoniously combine innovation, authenticity and local culture, meeting the specific needs of target segments.

Iberian dry-cured ham sliced: Influence of vacuum packaging on volatile profile during chill-storage

Iberian dry-cured ham sliced: Influence of vacuum packaging on volatile profile during chill-storage

Implementasi of Triage on the Role Attitude of Emergency Instalation Nurses

Triage is a process to determine which patients should receive treatment first based on the severity of the injury or illness. In triage, patients are grouped into 6 categories, blue label, red label, yellow label, green label, white label, and black label. The highest priority is patients with emergency conditions accompanied by disturbances in the airway, breathing, circulation, which are labeled in blue. The second priority is patients with emergency conditions, which are labeled in red. The third priority is given to patients with minimal emergency conditions, which are labeled in yellow. The next priority is cases without emergencies, but if they are not treated immediately they will have a negative impact on the patient, which is labeled in green. The next priority is the white label given to patients whose conditions are not serious, not emergency, and do not require immediate treatment. Last priority is given to patients who died or had serious irreversible injuries who were labeled in black. The purpose of this study was to determine the relationship between the roles and attitudes of emergency room nurses and the implementation of triage based on priority. The research method used is descriptive correlational with cross sectional design. The results showed that the majority of the role of nurses was good with the implementation of triage as many as 25 people (65.8%), the majority of positive attitudes with the implementation of triage as many as 23 people (60.5%) and the majority carried out triage according to SOP as many as 30 people (78.9%) . The results of the study with the chi-square test p-value <0.05. In conclusion, there is a relationship between the role and attitude of the emergency room nurse and the implementation of triage based on priority.

A Design Study of Microservice Architecture on White Label Travel Platform

A Design Study of Microservice Architecture on White Label Travel Platform

Keragaan Agronomi Padi Varietas Inpari Di Sawah Irigasi Kabupaten OKU Timur Sumatera Selatan

Lowland rice has a very important role in meeting national rice needs because around 90% of rice production comes from paddy fields. The aim was to determine the performance growth and production of the Inpari variety that is adaptive and high yielding in irrigated rice fields. Inpari 42 and Inpari IR Nutri Zinc are white label with comparison to Inpari 32. The need for fertilizer is 300 kg of Ponska NPK and 200 kg of Urea/ha. Observational data included: growth performance consisting of plant height, number of productive tillers, panicle length. The performance of the yield and yield components consisted of the number of grain/panicles, the number of full grain/panicles and productivity. Data were analyzed by means of equality test (t-test). The results showed that the plant height of inpari 42 and inpari IR Nutri Zinc was relatively short while inpari 32 was classified as medium. The number of productive tillers and panicle length of inpari 42 and inpari IR nutri Zinc were not significantly different from inpari 32. The highest production of inpari 42 was 8.5 tons gkp/ha followed by inpari Ir nutri Zinc which was 7.0 tons gkp/ha better than comparison varieties.

Innate immune activation and white matter injury in a rat model of neonatal intraventricular hemorrhage are dependent on developmental stage

Inflammation and white matter injury are consequences of neonatal intraventricular hemorrhage (IVH). Both white matter and the neuroimmune system are developing during the time which IVH occurs and its consequences develop. IVH has been studied in many different animal models; however, the effects of IVH occurring at different developmental time points in the same model have not been examined. Understanding how the timing of IVH affects outcome may provide important insights into both IVH pathophysiology and innate immune development. We used intraventricular injection of lysed whole blood to model neonatal IVH in postnatal day (P)2 and P5 rats. Flow cytometry was used to detect innate immune activation. MRI was used to screen animals for the development of increased ventricular size. Immunohistochemistry for myelin basic protein was used to quantify white matter and corpus callosum thickness. P5 animals exhibited significant increases in several measures of classically pro-inflammatory innate immune activation that P2 animals did not. Animals with IVH induced at P5 also developed ventricular enlargement visible on MRI whereas animals with IVH induced at P2 did not. On histological analysis, there were no significant effects of IVH in P2 animals, but IVH in P5 animals reduced white matter labeling and corpus callosum thickness. IVH induces a strong innate inflammatory response in P5 as well as changes in ventricular size and reduction of white matter. P2 animals do not exhibit significant changes in innate immune activation or white matter structure after IVH. This suggests that white matter pathology from IVH is due in part to innate immune activation; and that the developmental stage of the innate immune system is a key determinant of IVH pathology.

White Label Fragrances: Struggles of Small Business in Botswana

In over the years, new players have entered the fragrance market to bring the essence of Africa into fragrances. The case discusses one such niche luxury brand, White Label Fragrances that incorporates indigenous materials to produce African-flavored perfumes. The brand’s distinct product segments include personal fragrances, a male grooming range, body care, and home aroma solutions. The personal fragrances consist of 16 variants catered for both males and females. The company differentiates itself by providing scents to capture the essence of Africa. The case also illustrates the timeline of achievements and challenges of the company starting from inception till date followed by targets for 2025. A Fishbone analysis demonstrates the root causes of the problems faced by the company. Finally, the case portrays the goals that the brand plans to achieve and probable strategies it could implement to take White Label Fragrances to a global level.

AI Machine Vision based Oven White Paper ColorClassification and Label Position Real-time Monitoring System to Check Direction

We develop a vision system for batch inspection by oven white paper model color by manufacturing a machine vision system for the oven manufacturing automation process. In the vision system, white paper object detection (spring), color clustering, and histogram extraction are performed. In addition, for the automated process of home appliances, we intend to develop an automatic mold combination detection algorithm that inspects the label position and direction (angle/coordinate) using deep learning.

"Arab, brown, and other": Voices of Muslim Arab American women on identity, discrimination, and well-being.

The purpose of the present study was to explore Muslim Arab American women's intersecting identities, the types of discrimination they experience, and the psychosocial effects of those experiences on identity and well-being. Thirteen Muslim Arab American women were interviewed utilizing the consensual qualitative research (CQR) approach. Final domains that emerged from the data included conceptualization of racial, ethnic, and religious identity; experiences and effect of microaggressions; and coping strategies. The results document discrimination at the intersection of their multiple identities, a perceived shift in stereotypes from weak and oppressed to anti-American and violent, and within-group discrimination in the form of colorism and judgment. Reported psychological effects of discrimination include internalization of stereotypes, burden to represent all Muslims, rejection of the White racial label, and increased activism. The findings highlight resilience and coping through active self-acceptance and advocacy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Model Pengembangan Bisnis Toserba Sunan Drajat melalui Pendekatan Business Model Canvas


 
 The business model offered to develop a business is very varied with technological advances and the times. This requires companies or business people to continue to innovate in running their business. The process of business development can be done by measurement through several analyses, one of which is the Businesss Model Canvas analysis by combining nine elements that are the initial foundation of the business in its classification. This type of research uses qualitative research methods with a descriptive approach obtained through data collection from the process of observation, interviews, and documentation. While data analysis techniques are used using data education, data presentation, and conclusions. The purpose of the study is to answer, know, describe and analyze the problem formulation; 1) What is the business development model at Sunan Drajat Banjarwati Paciran Lamongan Department Store. 2) How is the concept of Business Model Canvas analysis strategy at Sunan Drajat Banjarwati Department Store, Paciran Lamongan. 3) How is the concept of SWOT analysis at Sunan Drajat Banjarwati Department Store, Paciran Lamongan. The analysis used with the Business Model Canvas analysis approach with nine indicators from an internal and external perspective. In addition, it is strengthened by SWOT analysis which is collaborated on the Business Model Canvas analysis at Sunan Drajat Department Store. The results of the study explained that Sunan Drajat Department Store is a modern retail business that doubles into several businesses, including distributors, franchises, white labels, e-commerce, marketplaces, to business to business. The Sunan Drajat Department Store has actually implemented a canvas model bussines in its development. This alternative strategy can be seen from the strengths and weaknesses that have been analyzed with the SWOT analysis strategy that has been collaborated on the Business Model Canvas analysis so that it provides opportunities and challenges for the Sunan Drajat Department Store to develop its business
 
 
 
 
 
 

Benjamin G. White. Pain and Paradox in 2 Corinthians: The Transformative Function of Strength in Weakness

Benjamin G. White. <i>Pain and Paradox in 2 Corinthians: The Transformative Function of Strength in Weakness</i>

Pengembangan Produksi Benih Sumber Varietas Unggul Baru (VUB) Padi Umur Genjah Hasil Di Provinsi Sumatera Selatan

Superior varieties are one of the technologies that play an important role in increasing the quantity and quality of agricultural products. The real contribution of superior varieties to increasing national rice production was reflected in the achievement of rice self-sufficiency in 1984. This was related to the characteristics possessed by superior varieties of rice, including high yields, resistance to major pests and diseases, early maturity so that can be developed to increase the cropping index, and taste good (fluffy) rice with relatively high protein content. The purpose of this activity is to develop seed production of new superior varieties at early maturity resulting from the innovation of the Agricultural Research and Development Agency. The source seed production development activity was carried out from October 2021 to April 2022 in irrigated rice fields, Sidomulyo Village, Belitang District, Ogan Komering Ulu Timur Regency. By using the Cakrabuana variety, White label seed class (FS) with a planting area of 5 ha. The data collected includes growth and yield performance data. The data collected were tabulated and analyzed (quantitatively). Observations of yield components carried out 1 week before harvest, showed an average plant height of 114.6 cm with the number of productive tillers of 29.2 stems/clump. While the average panicle length obtained was 27.06 cm with an average number of grain contents per panicle as many as 143.2 grains/panicle. The weight of 1000 grains of grain is 29 grams, productivity reaching 10.2 tons gkp/ha (8.5 tons gkg/ha).