Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service

The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the service. Based on the unified theory of acceptance and use of technology 2 and the protection motivation theory, the authors built an MCDMS adoption model. The authors also verified the differentiating age effect on the service adoption intention from experiential distance perspective of the construal level theory. Empirical results showed that the young group focused more on the impact of effort expectancy, whereas the elderly group focused more on performance expectancy, imitating others, and perceived severity. Furthermore, the young group, however, focused more on the impact of perceived vulnerability, and offline medical habits showed no significant influence on either group’s intention to adopt, which were not consistent with the original hypotheses. The findings can aid MCDMS providers in selecting marketing strategies targeted toward different age groups.

Odisha Craft – crafting the right expansion strategy

Learning outcomes Familiarize with the retail operations of handicrafts, facility location problem, apply multi-criteria decision through the goal programming approach and solving the same with MS Excel. Case overview / synopsis The case portrays a dilemma in the context of retail operations of a small-scale handicraft company known as Odisha Craft. Located in Odisha, Susanta Mohanty, the owner, was finding it a challenge to decide on the most promising location for his new retail outlet in the neighbouring city of Kolkata. He had five choices for the locations. Odisha craft was established by his father-in-law in 2009 with an objective to preserve and promote the rich culture of the handicrafts designed by the local artisans and ensure sustainable rural livelihood. The company had been facing numerous challenges and the pandemic has given a very formidable blow to the monthly revenues. The case brings out the multi-faceted dilemma of deciding on the facility location in 2020, involving a set of conflicting criteria. The case unfolds a systematic solution approach resolving the dilemma using MS Excel. Complexity academic level Courses such as operations research, operations management, service operations and retail operations for MBA students and trainings for junior-middle level executives. Supplementary materials Teaching notes are available for educators only. Subject code CSS 09: Operations and Logistics

Health Service Needs from a Household Perspective: An Empirical Study in Rural Empty Nest Families in Sinan and Dangyang, China

This study aimed to explore the health service needs of empty nest families from a household perspective. A multistage random sampling strategy was conducted to select 1606 individuals in 803 empty nest households in this study. A questionnaire was used to ask each individual about their health service needs in each household. The consistency rate was calculated based on their consistent answers to the questionnaire. We used a collective household model to analyze individuals’ public health service needs on the family level. According to the results, individuals’ consistency rates of health service needs in empty nest households, such as diagnosis and treatment service (H1), chronic disease management service (H2), telemedicine care (H3), physical examination service (H4), health education service (H5), mental healthcare (H6), and traditional Chinese medicine service (H7) were 40.30%, 89.13%, 98.85%, 58.93%, 57.95%, 72.84%, and 63.40%, respectively. Therefore, family-level health service needs could be studied from a family level. Health service needs of H1, H3, H4, H5, and H7 for individuals in empty nest households have significant correlations with each other (r = 0.404, 0.177, 0.286, 0.265, 0.220, p < 0.001). This will be helpful for health management in primary care in rural China; the concordance will alleviate the pressure of primary care and increase the effectiveness of doctor–patient communication. Health service needs in empty nest households who took individuals’ public needs as household needs (n = 746) included the H4 (43.3%) and H5 (24.9%) and were always with a male householder (94.0%) or at least one had chronic diseases (82.4%). Health service needs in empty nest households that considered one member’s needs as household needs (n = 46) included the H1 (56.5%), H4 (65.2%), H5 (63.0%), and H7 (45.7%), and the member would be the householder of the family (90.5%) or had a disease within two weeks (100.0%). In conclusion, family members’ roles and health status play an important role in health service needs in empty nest households. Additionally, physical examination and health education services are the two health services that are most needed by empty nest households, and are suitable for delivering within a household unit.

Effect of Follow-up Telephone by Enterostomal Nurses on Patients with Permanent Colostomy: A Systematic Review

Background: Patients with permanent colostomy experience quality of life (QoL) decrease, complications, and colostomy adjustment problems. Technology-based interventions can be provided with telephone follow-up (TFU) to provide health education and advice on managing symptoms, identifying complications, and providing quality care services. Objective: To systematically describe and assess the effect of TFU on permanent colostomy include population, model and duration, instruments used, and effect of TFU. Materials and Methods: A systematic review was carried out using the Randomized Controlled Trial (RCT) approach in eight databases, including PubMed, Proquest, ScienceDirect, EBSCOhost, CANCERLIT, Wiley, Gray literature, and Scopus, to identify studies reported in English, published in the last ten years, available full text, and about TFU in permanent colostomy patients. Results and Discussion: Based on the 11 RCT articles analyzed, it was found that the TFU duration ranged from 27 days to 3 years. The TFU improved self-efficacy, QoL, colostomy adjustment, self-care, self-management, service satisfaction, and complications. Conclusion: The TFU has more effect on self-efficacy, QoL, and complications in patients with a permanent colostomy, and effective TFU was performed for at least three months. Further research is needed on the frequency or duration of telephone calls. Bangladesh Journal of Medical Science Vol. 21(1) 2022 Page : 54-66

Measurements for non-intrusive load monitoring through machine learning approaches

The topic of non-intrusive load monitoring (NILM) has seen a significant increase in research interest over the past decade, which has led to a significant increase in the performance of these systems. Nowadays, NILM systems are used in numerous applications, in particular by energy companies that provide users with an advanced management service of different consumption. These systems are mainly based on artificial intelligence algorithms that allow the disaggregation of energy by processing the absorbed power signal over more or less long time intervals (generally from fractions of an hour up to 24 h). Less attention was paid to the search for solutions that allow non-intrusive monitoring of the load in (almost) real time, that is, systems that make it possible to determine the variations in loads in extremely short times (seconds or fractions of a second). This paper proposes possible approaches for non-intrusive load monitoring systems operating in real time, analysing them from the point of view of measurement. The measurement and post-processing techniques used are illustrated and the results discussed. In addition, the work discusses the use of the results obtained to train machine learning algorithms that allow you to convert the measurement results into useful information for the user.

A Comparative Study of Services Placement Algorithms in Future Networks: دراسة مقارنة لخوارزميّات توضيع الخدمات في الشّبكات المستقبليّة

The study aimed to analyze and compare several algorithms in the context of networks services placement, and then proposed a self-organized dynamic heuristic algorithm adaptable to continually changing network conditions in order to achieve the ideal placement of services replicas in future networks. It is known that future networks demand a high degree of self-organization to keep pace with ongoing changes while maintaining performance optimized. One of the important challenges in this context is the services placement problem. Service placement issue refers to the selection of the most appropriate network node for hosting a service. The ideal placement of services replicas reduces the cost of serving customers, improves connectivity between clients and servers as well as the use of available resources. The study summarized the results of qualitative comparison between several placement algorithms and refers to the most important requirements to be taken into account when implementing the placement algorithm. Generally, each service has its own placement technique, and the action taken by a specific service may affect other services decisions and force them to adapt. There is an urgent need to a management service for managing services replicas to make the optimal placement decision. This service should work in a distributed manner and does not require comprehensive knowledge about the network. It is also characterized by its ability to adapt to changing network conditions in terms of load and topology. Other services coordinate with the management service about replicating or migrating actions, thus services will be offered at a minimized cost.

Public Service in the Environment Sector in Indonesia

The Online Based Environmental Information System Program (SIMAS-LH Online) aims to realise excellent service through the ease of the community to get environmental data and facilitate business actors in reporting the implementation of the environment in Indonesia. This study aims to analyse and explain the application of bureaucratic reform from aspects of public service and its implication in Indonesia. This research was carried out within the Makassar City Government of the South Sulawesi Province. The type of analysis used is a case study. The data sources in this study are primary data. Primary data is data obtained by researchers directly, while secondary information is data collected by researchers from existing sources. The determination of informants is determined sequentially. Informants in this study amounted to seven people, consisting of four service users and three service providers. Data collection techniques are carried out by document study, observation, and interviews. The results of the study show that the community can also participate in providing services with information technology. The district does not have to come directly to the Environmental Management Service to submit the file to the complaint. At present, the community participates in giving advice and claims that have been carried out. The application of information technology has also created efficient services to be able to take advantage of information technology and positively support infrastructure.

Talent Management, Knowledge Management and Health Officer Performance on Service Quality

This study aims to elaborate and analyze the model to improve performance that can impact the service quality of health workers in the Central Mamuju Regency. The independent variables used are talent management and knowledge management, which are tested to improve performance and improve service quality. This research was conducted in 2 (two) public health centres, namely Durikumba Health Center and Lara Public Health Center, Karossa District, Central Mamuju Regency. The sampling technique used was accidental sampling. 70 of 74 officers filled out a complete and complete questionnaire at the Durikumba Health Center and 45 of 53 officers at the Lara Health Center. The total final sample obtained was 115 officers. This study uses a correlational design with a quantitative approach. Data collection techniques with questionnaires and data analysis used are path analysis with Amos ver.25 software. The research results among variables such as talent management, knowledge management, service quality, and performance comprehensively show talent management as a variable that impacts improving performance and quality in service. The talent capabilities possessed by officers will create better account and quality. Good. Health workers show this with different talents who can provide sound output because each officer can integrate their strengths and complement each other. While knowledge management is another independent variable that also affects the performance and quality of Health Centre services, knowledge of health workers, especially midwives and nurses, is a measure of success in terms of performance and service quality. Doctors demonstrate this too, midwives and nurses and other health workers in applying their knowledge and mastery of technology, thus enabling them to better understand up to date knowledge and information.

LinkedIn's Audience Engagements API

We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics related applications. We detail the differentially private algorithms and other privacy safeguards used to provide results that can be used with existing real-time data analytics platforms, specifically with the open sourced Pinot system. Our privacy system provides user-level privacy guarantees. As part of our privacy system, we include a budget management service that enforces a strict differential privacy budget on the returned results to the analyst. This budget management service brings together the latest research in differential privacy into a product to maintain utility given a fixed differential privacy budget.

Long-Term Assessment of Rehabilitation Treatment of Sports through Artificial Intelligence Research

Background. Artificial intelligence (AI) technology has been incorporated into all walks of life, especially the integration of machine learning and health management has achieved very significant progress and results. It is very necessary to analyze personalized sports health management services and long-term assessment of health issues in the era of AI. Methods. This paper explores AI + personalized sports management service system design ideas, system operation process, management stage design, taking common chronic diseases, and diabetes as examples. 150 patients were divided into an observation group and a control group, and the blood glucose, blood pressure, blood lipid, and knowledge awareness rate were compared. Results. The blood glucose, blood pressure, and blood lipid levels of the observation group all reduced, and the awareness rate of diabetes knowledge increased, which proved that the AI research has great value in sports rehabilitation research coupled with long term health assessment and is worth further research. Conclusion. The AI research proposed in this paper is of far-reaching practical significance in helping the transformation and upgrading of the sports health management service industry, promoting the innovative development of sports health management service supply, and promoting national fitness and national health.