Distribution Of Services Research Articles

Pengaruh Persepsi Harga, Online Customer Review Dan Promosi Terhadap Keputusan Pembelian Produk Heylook Official Shop Pada Market Place Shopee

The development of information technology in a digital-based economy supports business actors in aspects of marketing, procurement, distribution, and consumer service. This research aims to determine the influence of price perceptions, online customer reviews, and promotions on purchasing decisions for Heylook Official Shop products on the Shopee marketplace. The population in the research is Heylook Official Shop consumers on the Shopee marketplace the number of which is unknown (infinite). The number of samples in this study was 97 respondents determined using the Lemeshow formula. The sampling technique in this research is non-probability sampling with a purposive sampling method. Data collection was carried out through a questionnaire applied on Google Forms, and measured using a Likert scale. Data analysis uses multiple linear regression with the help of SPSS version 26 software. The findings in this research show that price perceptions and promotions have a significant influence on purchasing decisions, while online customer reviews do not influence Heylook Official Shop Purchase Decisions in the Shopee marketplace. Companies are expected to maintain competitive prices and continue to carry out promotional activities effectively. Companies need to push consumers to provide reviews of the products they purchase so that they become input for other consumers and the company itself.

Long shadows of the walking dead on economic activity

This paper presents the panorama of zombie firms in the Turkish economy, which are highly inefficient, highly indebted firms that have low or sometimes negative productivity, and provides an analysis of the impact of these firms on economic activity for the period 2012–2015. Our results suggest that the number of zombie firms in Türkiye has increased. The share of these firms in sales and employment has also increased, but at a lower rate. These firms are mainly found in low-technology manufacturing and transportation and distribution services. The paper also shows that healthy firms increase total factor productivity, employment growth, and the investment-to-capital ratio in the economy in a robust manner. The sales of zombie firms have no distorting effect on the economic activity of healthy firms. However, capital sunk into zombie firms has a differential impact on the performance of healthy firms. When the share of zombie capital in a sector increases, the TFP growth of manufacturing firms decreases, while the employment growth of medium-sized service firms increases.

COVID-19 disruptions and Norwegian food and pharmaceutical supply chains: Insights into supply chain risk management, resilience, and reliability.

The purpose of this study is to investigate how the COVID-19 crisis affected delivery security and firms' preparedness and responses in Norway. Investigations focus on supply chains which were critical for maintaining the supply of essential goods when large parts of society closed down. This includes four firms belonging to food and pharmaceutical industries, representing different parts of the respective supply chains, and covering imports, exports, domestic distribution, and home-delivery services. The originality of this article is that we employ theoretical models on supply chain risk management, resilience and reliability in conjunction, where these are usually used separately. Recognizing links, overlaps, and complementarity between the models, and using them step-by-step, we exploit synergies that enable more comprehensive assessments of strengths and weaknesses in firms' supply chains, covering gaps, prioritizing between improvement areas, and collecting input towards detailed, actionable risk mitigation actions. Investigations build on semi-structured interviews, systematically covering the formative elements for each of the models. Using the models in conjunction, we compare the firms and identify differences, similarities, strengths, and weaknesses in the consequences of pandemic-related disruptions and how firms approached the challenges. The main challenges for the firms were sudden demand changes early in the pandemic. While the firms had minor differences, their pre-pandemic contingency plans were generally not actionable or detailed enough, nor prepared for the pandemic's longevity. Therefore, more detailed and long-term guidelines are desirable, noting the importance and interrelationships of elements of supply chain risk management, resilience, and reliability. A common feature for all firms, and crucial for handling disruptions, is the importance of good and long-term relationships with upstream and downstream supply chain partners and the need for improving contingency plans and future resilience.

초고령 사회에서 오프라인 매장의 노인 고객 유입 증대를 위한 서비스 개선 요인 도출

Post-pandemic, a significant shift of the elderly to online shopping and large supermarkets started to become warehouses for online channels. This transformation reduces the physical activity of seniors who previously visited large supermarkets, limiting their independent and active lifestyles. This study aims to make domestic large supermarkets more elderly-friendly in the super-aging era, identifying factors through research on distribution changes, trends, demographics, and service quality. 1:1 interviews and surveys with seniors, along with FGI explored feasibility and implementation considerations. Results emphasize the need for senior-exclusive parking, employee call bells, checkout counters, and rest areas with water dispensers.

Resilience-oriented comparative study of SOP-based service restoration in distribution systems

Soft open points (SOPs) can perform load shifting and voltage improvement, and are critical to improving distribution service restoration (DSR) during power outages. Although multiple DSR strategies utilizing local resources have been reported, their effectiveness has not been sufficiently studied. To solve this problem and utilize the flexibility of SOP, a comparative study of different strategies for SOP-based DSR is presented in this paper. First, various SOP-based DSR models, including single-source, single-island model (SSM), islanding partition model (IPM) and multi-source collaborative model (MCM), are proposed and formulated as mixed-integer nonlinear programming (MINLP) problems, incorporating static voltage characteristics of loads. Second, to enhance the solution efficiency, mixed-integer second order cone programming is introduced to convert the MINLP problems into easily solvable convex optimization problems. A restorative index is defined to evaluate the effectiveness of various SOP-based DSR strategies. Finally, a comparative simulation analysis of the proposed models on the IEEE 33-bus system illustrates that SOP-based MCM achieves an 94 % power output for distributed energy resources, while exhibiting the lowest RI for the total loads, standing at just 9.5 %. Furthermore, the RI for critical loads consistently remains at 0, demonstrating the superiority of SOP-based MCM in comparison to other strategies.

The Role of the Dimensions of Strategic Intelligence in Improving the Quality of Publishing and Distribution Services: A field Study on the Leaders of the Arab Literature Center for Publishing and Distribution

The Role of the Dimensions of Strategic Intelligence in Improving the Quality of Publishing and Distribution Services: A field Study on the Leaders of the Arab Literature Center for Publishing and Distribution

Study on Customer Satisfaction of Cold Chain Distribution Service Fee of Fresh Agricultural Products

In recent years, with the rapid development of fresh agricultural products, it is inevitable to affect the development of cold chain distribution services. Therefore, the satisfaction of consumers is studied, so as to find out the problems in order to promote the development of cold chain distribution. This paper starts with understanding the current situation of cold chain distribution service of fresh agricultural products, analyzes the existing problems and causes of consumer satisfaction: summarizes the main factors affecting consumer satisfaction with cold chain distribution service, conducts a questionnaire survey on consumers in Nanchang, and proposes relevant optimization plans and suggestions for cold chain distribution service through the analysis of consumer satisfaction.

Exploration and application of new distribution system technology for large-scale distributed distribution network digital service access

Abstract Digital technology is leading fundamental innovation and development, and digitalization represents a great opportunity for the energy industry to take off and develop. In this paper, digital and intelligent technologies are used to integrate, analyze, and manage distribution network equipment information. Secondly, a new smart distribution terminal design is proposed and modeled using the IEC 61850 standard to monitor the status of smart distribution grid management equipment. Through the active distribution system structure, based on the decoupled PCC, a model is constructed for large-scale distributed optimal dispatching. Finally, two scenario experiments are taken as examples to simulate and analyze the distributed co-dispatch of the new distribution system. The results show that the operation reward interval of scenario 2 is [194.43, 205.44] when the decomposition convergence criterion is set to 0.05 and the threshold value of the second-order cone relaxation accuracy is set to 10−5. The novel distribution system proposed in this paper is able to achieve optimal decision-making that satisfies the distribution network operation constraints, while the multi-microgrid seeks to maximize its benefits.

OPPORTUNITY OF USING A MIXED NEUTRAL TREATMENT SOLUTION IN THE DISTRIBUTION ELECTRICAL NETWORKS OF THE REPUBLIC OF MOLDOVA

The optimal solution selection for the treatment of the neutral point in distribution networks (6-35 kV) holds significant practical importance as it directly or indirectly affects the continuity and reliability of supplying electrical energy to consumers, the behavior of medium-voltage electrical networks under single-phase fault conditions, and its impact on the quality of the power distribution service (duration and frequency of power interruptions). It also affects resulting overvoltages, adopted technical solutions, level of electrical security assurance, investments, and so forth. Developing a mathematical model for various methods of treating the neutral point in distribution networks allows for the calculation and analysis of these operating conditions, identifying the optimal one, thus avoiding experimental attempts that are limited by the advanced wear of equipment within the electrical networks of the Republic of Moldova. Based on the developed mathematical model, comparative calculations are performed regarding the feasibility of implementing the combined neutral regime.

Low consumption automatic discovery protocol for DDS-based large-scale distributed parallel computing

DDS (Data Distribution Service) is an efficient communication specification for distributed parallel computing. However, as the scale of computation expands, high network load and memory consumption consistently limit its performance. This paper proposes a low consumption automatic discovery protocol to improve DDS in large-scale distributed parallel computing. Firstly, an improved Bloom Filter called TBF (Threshold Bloom Filter) is presented to compress the data topic. Then it is combined with the SDP(Simple Discovery Protocol) to reduce the consumption of the automatic discovery process in DDS. On this basis, data publication and subscription between the distributed computing nodes are matched using binarization threshold θ and decision threshold T , which can be obtained through iterative optimization algorithms. Experiment results show that the SDPTBF can guarantee higher transmission accuracy while reducing network load and memory consumption, and therefore improve the performance of DDS-based large-scale distributed parallel computing.

Patient Willingness to Use a Pharmacy-Based Colorectal Cancer Screening Service: A National Survey of U.S. Adults.

We aimed to understand U.S. adults' willingness to use a pharmacy-based fecal immunochemical test (FIT) distribution service for routine colorectal cancer screening called PharmFIT using Diffusion of Innovation Theory, evaluating patient's appraisals of the program's relative advantage, compatibility, and complexity. From March to April 2021, we conducted a national online survey of 1,045 U.S. adults ages 45 to 75. We identified correlates of patient willingness to use PharmFIT using structural equation modeling. Most respondents (72%) were willing to get a FIT from their pharmacy for their regular colorectal cancer screening. Respondents were more willing to participate in PharmFIT if they perceived higher relative advantage ($\hat{\beta}$= 0.184; confidence interval, CI95%: 0.055-0.325) and perceived higher compatibility ($\hat{\beta}$ = 0.422; CI95%: 0.253-0.599) to get screened in a pharmacy, had longer travel times to their primary health care provider ($\hat{\beta}$ = 0.007; CI95%: 0.004-0.010). Respondents were less willing to participate in PharmFIT if they were 65 years or older ($\hat{\beta}$ = -0.220; CI95%: -0.362 to -0.070). Most U.S. adults would be willing to participate in PharmFIT for their routine colorectal cancer screening. Patient perceptions of the relative advantage and compatibility of PharmFIT were strongly associated with their willingness to use PharmFIT. Pharmacies should account for patient preferences for these two traits of PharmFIT to increase adoption and use. Pharmacy-based colorectal cancer screening may be a viable public health strategy to significantly increase equitable access to screening for U.S. residents.

Experiences Modeling a OPC UA / DDS Gateway in AADL in the Context of Fog Computing

The legacy protocols still used in industrial automation are an obstacle to interoperability. In the meantime, while newer protocols are slowly replacing gateways, they can provide a bridge between new and legacy protocols. The Architecture Analysis & Design Language (AADL) was used in the Fog Computing for Robotics and Industrial Automation (FORA) project to model a Fog Computing Platform (FCP). Part of the FCP is an OPC Unified Architecture (OPC UA) / Data Distribution Service (DDS) gateway. The main goal was to develop an AADL model that allows the creation of platform-specific instances of such a gateway and the creation of other gateways. While the gateway model is incomplete, it formed the basis for several gateway prototypes. Challenges included complex data structures and tooling issues related to code generation. Nevertheless, the experiences with the AADL modeling of the gateway and the FCP were positive overall.

Business Finance Catalysts: Promotion, Sales, and Financial Management Tactics that Improve Company Financial Performance

This study explores the relationship of promotion and sales strategies with firm financial performance in a comprehensive context. Quantitative methods were used to collect and analyze data from 120 companies in Indonesia. Using a purposive sampling technique, 420 respondents completed a questionnaire highlighting promotional strategy, sales, and financial performance. Variables such as promotional expenditure, creativity, and market responsiveness were measured through statistical analysis, including multiple regression. The findings show that factors such as promotion fund allocation, campaign innovation, product price management, distribution, and customer service play an important role in a company's financial success. This study provides an in-depth understanding of the importance of promotion and sales strategies in achieving optimal financial performance.

Power grid monitoring based on Machine Learning and Deep Learning techniques

<p><strong>Background:</strong> In this work, some application examples of machine learning and deep learning techniques in the monitoring of electricity distribution services and infrastructures are proposed. Three different fields of application are considered to highlight the use of techniques based on neural networks: detection and classification of power quality disturbances, monitoring of underground cables in medium voltage lines and diagnosis of joints in high voltage overhead power lines. <strong>Methods:</strong> In the field of power grid monitoring, this work proposes a classification method based on a complex valued neural network to assess working conditions of junction regions in high-voltage overhead lines and insulating materials in medium voltage underground networks. The purpose of this method is to prevent the rupture of joint structures and the abnormal degradation of underground cables via frequency response measurements. This approach allows the direct processing of complex measurements and to reduce the computational effort compared to other methods available in the literature. <strong>Results:</strong> The results obtained in the monitoring of underground cables and joints of high voltage lines guarantee an overall classification rate higher than 90%. In the field of power quality, several deep learning and machine learning methods are proposed to detect the most common voltage disturbances. <strong>Conclusions:</strong> In this paper, an innovative use of widespread algorithms such as convolutional neural networks is proposed with excellent results. Furthermore, the use of a complex-valued neural network in electrical infrastructure monitoring is presented, introducing a minimally invasive classification method that could be instrumental in the transition from corrective to predictive maintenance in the near future.</p>

How can the compensation structure of Iran's natural gas distribution services be modified based on incentive-based regulations?

Although the government owns most of Iran's natural gas industry, outsourcing has begun via build-owned-and-transfer (BOT) contracts in development, and fixed-price service contracts for operation and maintenance. For instance, in the distribution industry, the private sector now performs 50 % of the tasks. Variable unit costs show the necessity for performance- and incentive-based rules to address the variability of enterprises' pay systems. These costs are greater for public firms in certain places and lower in others. Using the financial data of 31 Iranian natural gas distribution companies from 2010 to 2019, this study develops parametric models to evaluate time-variant, and time-invariant operational and capital efficiency. Besides, this paper studies four contextual factors that contribute to the heterogeneity of firms: network maturity, consumer density, consumer type, and consumption pattern. The results show that mature networks have an average 40 % higher operating unit cost. Moreover, the firms with more industrial customers in southern Iran recorded doubled sales costs. Based on unit expenditure modeling, the research suggests that merging small firms does not necessarily result in higher efficiency. Instead, mergers that optimize customer density, and average consumption growth are expected to be more effective.

WebRTC over 5 G: A Study of Remote Collaboration QoS in Mobile Environment

The increasing demand for remote collaboration and remote working has become crucial to daily life owing to the Covid-19 pandemic and the development of internet-based video distribution services. Furthermore, low-latency remote collaboration, such as teleoperation and support applications designed for in-vehicle environments, has gained considerable attention. The 5 G technology is considered as a key infrastructure for remote collaboration. This study aimed to evaluate the actual 5 G capability to achieve high quality of service (QoS) for remote collaboration. We designed and implemented a measurement tool to monitor the QoS of remote collaboration under real-world 5 G conditions. We performed measurements encompassing the various 5 G frequency bands. During these experiments, we employed various tools to obtain detailed mobile signal conditions to analyze the relationship between various environmental factors (e.g. signal quality, band, handoff, geographic conditions, and mobility) and the QoS performance of remote collaboration in a real-world 5 G environment. This study elucidated the correlation between the WebRTC performance and various environmental factors as well as the performance improvement potential by leveraging the communication technologies of multiple mobile carriers. The collected data has been made publicly available to foster research on QoS and 5 G.

Changes in the financing of medical institutions of Ukraine and the efficiency of using their assets

The purpose of the study is to analyze the transformational changes that have taken place in the financing of the health care sector and the availability and regional distribution of assets of health care enterprises. The study is based on data from the Ministry of Finance, the Ministry of Health of Ukraine and the National Health Service of Ukraine.The article analyzes the expenditures of the Consolidated Budget of Ukraine and health care expenditures. It was determined that after the start of the medical reform, there was a trend towards an increase in the share of health care costs in the total expenditure part of the Consolidated Budget of Ukraine.Based on the analysis of the data of the National Health Service of Ukraine, the number and distribution of costs among medical providers according to the level of medical care were determined. The presence and distribution of the medical industry’s assets among hospitals in the regions of Ukraine were analyzed. It was found that, during 2022, enterprises in the healthcare sector of Ukraine significantly increased their assets.To assess the effectiveness of the industry’s use of assets, the indicator of “return on assets” of health care facilities based on the amount of payments from the National Health Service of Ukraine for the provided medical services was used. The amount of payment per patient was analyzed based on the number of declarations signed by patients. The influence of the migration factor as a result of the war on the activities of health care institutions was determined.Conclusions were made regarding the need for a more even distribution of assets of the medical industry to increase the efficiency of their use. The city of Kyiv’s medical assets need more complete use.Based on the results of the study, conclusions were made about the positive impact of the implementation of the reform on the financing of the medical industry. It was noted that further research in this area can be aimed at identifying factors influencing the effectiveness of the use of the assets of Ukraine’s medical institutions and finding reserves for increasing the efficiency of their use.It is emphasized that when making calculations, standard approaches to evaluating efficiency should be transformed, taking into account the specifics of the medical field so that they can adequately reflect the industry’s economic situation.
 JEL classification: H51, I18

The Japanese Breast Cancer Society Clinical Practice Guidelines for surgical treatment of breast cancer, 2022 edition.

The 2022 revision of the Japanese Breast Cancer Society (JBCS) Clinical Practice Guidelines for surgical treatment of breast cancer was updated following a systematic review of the literature using the Medical Information Network Distribution Service (MINDS) procedure, which focuses on the balance of benefits and harms for various clinical questions (CQs). Experts in surgery designated by the JBCS addressed five areas: breast surgery, axillary surgery, breast reconstruction, surgical treatment for recurrent and metastatic breast cancer, and other related topics. The revision of the guidelines encompassed 4 CQs, 7 background questions (BQs), and 14 future research questions (FRQs). A significant revision in the 2022 edition pertained to axillary management after neoadjuvant chemotherapy in CQ2. The primary aim of the 2022 JBCS Clinical Practice Guidelines is to provide evidence-based recommendations to empower patients and healthcare professionals in making informed decisions regarding surgical treatment for breast cancer.

The design and development of the Super-X device data acquisition and monitoring system

To meet the construction requirements of future fusion reactors and other large-scale superconducting magnets, China is building an advanced superconducting conductor experimental device (Super-X) to evaluate the performance of future superconducting components. To ensure the reliability, stability of the Super-X devices and the flexibility, extensibility of the experimental tests, a specialized data acquisition and monitoring system has been designed and developed, which comprises three main components: data acquisition, transmission, and storage. For the data acquisition, a driver plug-in dynamic loading mechanism is employed to shield the diversification of data acquisition devices, thereby providing a unified data interface for upper-level operations. In terms of data transmission, the publish/subscribe (pub/sub) mode of ZeroMQ was utilized to meet the high-speed sampling demands (10 kHz sampling rate) of data transmission. In addition, a data distribution service improvement strategy that employs multiple workers is proposed to enhance subscriber reception capacity and reduce data transmission loss. As for data storage, a combination of short-term and long-term databases is used to improve the efficiency of data queries. The results of testing indicate that the system can satisfy the operational and experimental requirements of the device.

Investigating the Long-Run Sectoral Growth Linkages in Ethiopia: Is Agriculture or Service an Engine of Growth?

This paper investigates the long run relationship between agriculture, industry and service using cointegrated vector autoregressive (CVAR) methodology for the period 1981-2011. Using this approach, the article provides a fresh evidence for Ethiopia that has not been deployed by the previous researches in the country. The paper finds that service is a driving force of the growth of agriculture and itself, an evidence obtained from analysis of the long run impact matrix C. From the fully identified long run structure, growth in service has positive and significant impacts on agriculture and industry. It deeply investigates the effects on agriculture by disaggregating service into other service and distributive service whereas industry comprises manufacturing and non-manufacturing. Concerning the impacts of disaggregated service, other service sub-sector is found to be a pushing force for the growth of agriculture, non-manufacturing and service itself. A variable comprising transportation and communication is vital for the long term growth of agriculture. These results are robust to changes in sample size and sample source. The policy prescription is that government should invest on this small sub-sector as the returns to the whole economy are tremendous.
 The paper finds positive and strong effects from non-manufacturing to manufacturing reflecting that improved access to electricity, gas and water triggers unprecedented growth in manufacturing productivity. Finally, a shock to agriculture has little impacts on the growth of entire economy as the variable is purely adjusting in most of the models considered in the paper while aggregate service is weakly exogenous.