scholarly journals Real-Time Operational Research: Case Studies from the Field of Tuberculosis and Lessons Learnt

2021 ◽  
Vol 6 (2) ◽  
pp. 97
Author(s):  
Anthony D. Harries ◽  
Pruthu Thekkur ◽  
Irene Mbithi ◽  
Jeremiah Muhwa Chakaya ◽  
Hannock Tweya ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Case Studies ◽  
Operational Research ◽  
International Standards ◽  
Primary Data ◽  
Capital Cities ◽  
Periodic Analysis ◽  
Comparison Groups ◽  
The Impact

Real-time operational research can be defined as research on strategies or interventions to assess if they are feasible, working as planned, scalable and effective. The research involves primary data collection, periodic analysis during the conduct of the study and dissemination of the findings to policy makers for timely action. This paper aims to illustrate the use of real-time operational research and discuss how to make it happen. Four case studies are presented from the field of tuberculosis. These include (i) mis-registration of recurrent tuberculosis in Malawi; (ii) HIV testing and adjunctive cotrimoxazole to reduce mortality in TB patients in Malawi; (iii) screening TB patients for diabetes mellitus in India; and (iv) mitigating the impact of COVID-19 on TB case detection in capital cities in Kenya, Malawi and Zimbabwe. The important ingredients of real-time operational research are sound ethics; relevant research; adherence to international standards of conducting and reporting on research; consideration of comparison groups; timely data collection; dissemination to key stakeholders; capacity building; and funding. Operational research can improve the delivery of established health interventions and ensure the deployment of new interventions as they become available, irrespective of diseases. This is particularly important when public health emergencies, including pandemics, threaten health services.

A Pandemic of Violence? The Impact of COVID-19 on Conflict

2020 ◽  
Vol 26 (3) ◽  
Author(s):  
Sara M.T. Polo
Keyword(s):  
Spatial Distribution ◽  
Real Time ◽  
Case Studies ◽  
Armed Conflict ◽  
Event Data ◽  
Social Unrest ◽  
Johns Hopkins University ◽  
The World ◽  
Political Advantage ◽  
The Impact

AbstractThis article examines the impact and repercussions of the COVID-19 pandemic on patterns of armed conflict around the world. It argues that there are two main ways in which the pandemic is likely to fuel, rather than mitigate, conflict and engender further violence in conflict-prone countries: (1) the exacerbating effect of COVID-19 on the underlying root causes of conflict and (2) the exploitation of the crisis by governments and non-state actors who have used the coronavirus to gain political advantage and territorial control. The article uses data collected in real-time by the Armed Conflict Location & Event Data Project (ACLED) and the Johns Hopkins University to illustrate the unfolding and spatial distribution of conflict events before and during the pandemic and combine this with three brief case studies of Afghanistan, Nigeria, and Libya. Descriptive evidence shows how levels of violence have remained unabated or even escalated during the first five months of the pandemic and how COVID-19-related social unrest has spread beyond conflict-affected countries.

IIOT and Real Time Data Analytics - Maximizing the Impact on Safety and Productivity

2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Data Analytics ◽  
Contact Tracing ◽  
Time Data ◽  
Seamless Integration ◽  
Location Services ◽  
Industrial Internet ◽  
Potential Applications ◽  
The Impact

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.

scholarly journals Environmental Movement and the Conservation of Forest: A Case Study on Ratargul Swamp Forest of Sylhet, Bangladesh

2019 ◽  
pp. 1-7
Author(s):  
Kazi Moriom Jahan ◽  
Afm Zakaria
Keyword(s):  
Data Collection ◽  
Group Discussion ◽  
Environmental Movement ◽  
Primary Data ◽  
Environmental Groups ◽  
Forest Department ◽  
Swamp Forest ◽  
Level Of Involvement ◽  
The Impact

Aims: The aim of this paper is to explore and analyze the scope and nature of the environmental movement that may shape the existing management. Study Design: This paper is a qualitative study and based on empirical research. It focuses on the impact of environmental movements around Ratargul Swamp Forest Place and Duration of Study: This research was done around the Ratargul Swamp Forest located in on Sylhet district of Bangladesh. The study period was from January 2016 to November 2017. Methodology: For the primary data collection, 47 respondents were selected by using purposive sampling on the basis of their level of involvement. Data was collected from local people, environmental groups and the forest department. Data collection methods were key informant interview, in-depth interview, case study, focus group discussion and archival research. Results: People of Ratargul village are now more aware of the harmful activities of uncontrolled tourism while the Forest Department brings new management policies and practices in response to the local and civil pressure. It is also found that the Climate Resilient Ecosystem Livelihoods (CREL) project in Bangladesh actually works to negate the strength of the environmental movement rather than as a conservation proponent. The Forest Department is successful to implement their projects due to a lack of coordination between local activists. According to the respondents, 31.1% mark this movement as successful, 23.4% opine as completely failure and while remaining 44.4% thinks that it is partially successful. Conclusion: A strong, integrated, coordinated and organized form of resistance or movement is needed to break up the hegemony of Forest Department that may save the Ratargul Swamp Forest from ongoing damage.

scholarly journals Concept of Digital Literation Based on Value of Local Wisdom Piil Pesenggiri in History Learning in the Industrial Revolution 4.0

2020 ◽  
pp. 12-20
Author(s):  
Regiano Setyo Priamantono ◽  
Warto . ◽  
Akhmad Arif Musadad
Keyword(s):  
Data Collection ◽  
21St Century ◽  
Digital Literacy ◽  
Industrial Revolution ◽  
Participant Observation ◽  
Primary Data ◽  
Public High School ◽  
Distinctive Character ◽  
History Learning ◽  
The Impact

Literacy is one of the abilities that are considered important in facing the 21st-century world. The distinctive character of the 21st-century world is the industrial revolution of 4.0. The impact of the industrial revolution 4.0 has been felt by anyone in every aspect of life, including aspects of education. The low condition of Indonesia's digital literacy capability must be overcome immediately. For this reason, this study aims to propose a thesis on the concept of digital literacy based on value of local wisdom piil pesenggiri in learning history in the era of the industrial revolution 4.0. Local wisdom piil pesenggiri is the behavior and outlook on life of Lampung people who are still held firm to this day. It is hoped that through this strategy the historical awareness of the students at Public High School 2 Kalianda in Lampung Province will increase amidst the current of Industrial Revolution 4.0. This study used qualitative research methods. Data collection was conducted in January and February 2020 with natural conditions, primary data sources and more data collection techniques in participant observation, in-depth interviews, and documentation. The results show that there must be a change in conventional history learning resources to a digital history book that can understand current students without losing their cultural identity.

Case Studies for the Successful Deployment of Wells Augmented Stuck Pipe Indicator in Wells Real Time Centre

2021 ◽  
Author(s):  
Meor M. Meor Hashim ◽  
M. Hazwan Yusoff ◽  
M. Faris Arriffin ◽  
Azlan Mohamad ◽  
Tengku Ezharuddin Tengku Bidin ◽  
...  
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Drilling Fluid ◽  
Drill String ◽  
Drilling Operation ◽  
Cost Impact ◽  
Drilling Parameters ◽  
The Impact ◽  
Productive Time ◽  
Specific Challenge

Abstract The restriction or inability of the drill string to reciprocate or rotate while in the borehole is commonly known as a stuck pipe. This event is typically accompanied by constraints in drilling fluid flow, except for differential sticking. The stuck pipe can manifest based on three different mechanisms, i.e. pack-off, differential sticking, and wellbore geometry. Despite its infrequent occurrence, non-productive time (NPT) events have a massive cost impact. Nevertheless, stuck pipe incidents can be evaded with proper identification of its unique symptoms which allows an early intervention and remediation action. Over the decades, multiple analytical studies have been attempted to predict stuck pipe occurrences. The latest venture into this drilling operational challenge now utilizes Machine Learning (ML) algorithms in forecasting stuck pipe risk. An ML solution namely, Wells Augmented Stuck Pipe Indicator (WASP), is developed to tackle this specific challenge. The solution leverages on real-time drilling database and supplementary engineering design information to estimate proxy drilling parameters which provide active and impartial pattern recognition of prospective stuck pipe events. The solution is built to assist Wells Real Time Centre (WRTC) personnel in proactively providing a holistic perspective in anticipating potential anomalies and recommending remedial countermeasures before incidents happen. Several case studies are outlined to exhibit the impact of WASP in real-time drilling operation monitoring and intervention where WASP is capable to identify stuck pipe symptoms a few hours earlier and provide warnings for stuck pipe avoidance. The presented case studies were run on various live wells where restrictions are predicted stands ahead of the incidents. Warnings and alarms were generated, allowing further analysis by the personnel to verify and assess the situation before delivering a precautionary procedure to the rig site. The implementation of the WASP will reduce analysis time and provide timely prescriptive action in the proactive real-time drilling operation monitoring and intervention hub, subsequently creating value through cost containment and operational efficiency.

The resilience of African migrant entrepreneurs in China under COVID-19

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Prah ◽  
Hagan Sibiri
Keyword(s):  
Data Collection ◽  
Primary Data ◽  
Chinese Society ◽  
Content Type ◽  
Social Challenges ◽  
Data Collection Instrument ◽  
African Migrant ◽  
Migrant Entrepreneurs ◽  
The One ◽  
The Impact

Purpose As the impact of COVID-19 on businesses was impossible to predict, so is the future of migrant entrepreneurs – some of whom, before the outbreak, had to deal with immigrant status associated challenges. Against this backdrop, this paper aims to focus on African migrant entrepreneurs in China, much less studied ethnic migrants who have always lived on the margins of Chinese society, to examine their entrepreneurial resilience under COVID-19 in China. Design/methodology/approach The study used a qualitative design using a survey and semi-structured follow-up interviews as the primary data collection instrument. The questions in the questionnaire guide were adapted from the Center for Global Development survey instrument designed to gauge the resilience of SMEs under COVID-19. Findings Although most business operations in China are impacted, African migrant businesses were very hit due to existing social challenges coupled with their informality (i.e. operating at a low level of organization), lack of contingency plans and lack of stimulus support. COVID-19 is thus not only a force majeure that threatens the growth expectation of African owned-business but also presents a threat to their very existence in an already challenging society for Africans. Research limitations/implications Although the study has achieved its intended purpose, the sample was relatively small due to the low return rate of questionnaires and the difficulties in reaching out to target respondents due to the restrictive measures on movements during the data collection period. Originality/value This paper draws attention to the entrepreneurship-related challenges faced by ethnic migrants in China during a crisis. The social challenges of Africans living in China became a global topical issue during the COVID-19 outbreak in China. However, little is known about their entrepreneurship endeavors and the associated difficulties. This paper helps our understanding of African businesses’ resilience in China during uncertain times, such as the one created by COVID-19.

scholarly journals Dampak Pengembangan Objek Wisata Pantai Tiram Terhadap Perekonomian Masyarakat

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Saharisyah Syafarini ◽  
M Fachri Adnan
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Secondary Data ◽  
Primary Data ◽  
Creative Economy ◽  
Village Community ◽  
The People ◽  
Analysis Technique ◽  
Beach Tourism ◽  
The Impact

This study aims to see the extent to which the impact of the development of oyster beach tourism objects on the economy of the Tapakis village community carried out by the tourism and sports office of Padang Pariaman district and to find out what are the obstacles that occur when developing oyster beach tourism. This research is based on the existence of problems in the tourism object of the Tapakis oyster beach such as development that has not been maximized and tourist facilities that are not well managed. This research uses qualitative research using descriptive methods. The informants in this study in this study, namely the Tourism Development Sector, the Promotion and Creative Economy Sector, the Wali Nagari Tapakis, the Tourism Awareness Group and Community Figures.The data of this research are primary data and secondary data. Data collection techniques are carried out by means of interviews and documentation studies, as well as testing the validity of the data by using triangulation techniques and using reference materials. The data analysis technique in this study was carried out by summarizing the records that were found in the field and assisted by data collection tools such as cellphone recorders with informants while in the field, after which a conclusion was obtained. The results of this study indicate that the impact of the development of oyster beach tourism objects on the economy the community of Tapakis village, Padang Pariaman district. The youth tourism and sports office as well as Pokdarwis members have carried out promotions such as placing advertisements, billboards, magazines, newspapers, browsers, Facebook and Instagram. Currently, the facilities at Oyster Beach are adequate, but these facilities have not been well managed at this time and from an environmental perspective it is still not clean enough. the level of visits to tourist objects has started to increase now compared to previous years as well as the economic income of the people around oyster beach tourism has started to improve as well today. 

scholarly journals The impact of artificial intelligence on commercial management

2020 ◽  
Vol 17 (4) ◽  
pp. 441-452
Author(s):  
Renato Costa ◽  
Álvaro Dias ◽  
Leandro Pereira ◽  
José Santos ◽  
André Capelo
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Real Time ◽  
Training And Development ◽  
Analytical Tool ◽  
Commercial Activity ◽  
Business Functions ◽  
The Impact ◽  
Depth Interviews ◽  
Shed Light

The essence of this research is to shed light on use and importance of artificial intelligence (AI) in commercial activity. As such, the objective of the present study is to understand the impact of AI tools on the development of business functions and if they can be affirmed as a means of help or as a substitute for these functions. In-depth interviews were conducted with 15 commercial managers from technological SMEs. The results indicate that all the participants use AI systems frequently, that these tools assist in developing of their functions, allowing having more time and better preparing to solve the commercial problems. The findings also indicate that the tools used by commercials are still somewhat limited, and companies should focus on their training and development in AI, as well as the training of their commercials. Furthermore, the results show that firms intend to use the data collection and the analytical tool that enable real-time response and customization according to customer needs.

scholarly journals Impact of Organization Politics on Human Resource Management Practices and Employee Performance

2019 ◽  
Vol 2 (2) ◽  
pp. 39-47 ◽  
Author(s):  
Rehana Yasmeen ◽  
Munaza Bibi ◽  
Ali Raza
Keyword(s):  
Public Sector ◽  
Data Collection ◽  
Management Practices ◽  
Employee Performance ◽  
Primary Data ◽  
Organizational Goals ◽  
Hrm Practices ◽  
Collection Data ◽  
Negative Effect ◽  
The Impact

Purpose- The purpose of this study was to investigate the impact of nepotism & favoritism as a form of organization politics on HRM practices and employee performance. Design/Methodology- Explanatory research design was employed to determine the effect of nepotism & favoritism on HRM practices and employee performance. Primary data collection method was used among employees working in different public-sector hospitals based on their accessibility. For this study, the sample of 150 employees was used. The adapted questionnaire was used for data collection. Data were analyzed using SPSS.  Findings- The correlation analysis revealed a significant relationship between favoritism, employee performance & HRM practices whereas nepotism has a significant association with employee performance but the insignificant relationship with HRM practices. The outcomes of the study unveiled a significantly negative effect of nepotism on employee performance & HRM practices while favoritism has a significantly positive effect on employee performance & HRM practices.  Practical Implications- The study outcomes might help public sector hospitals HR department to incorporate some changes regarding their policies to prevent the nepotistic & favoritism practices which can lead to creating a politics in the organization in which everyone works to fulfill his or her self- interest without focusing towards organizational goals achievement.

scholarly journals Effect of Web atmospherics and satisfaction on purchase behavior: stimulus–organism–response model

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Abbas N. Albarq
Keyword(s):  
Data Collection ◽  
Purchase Intention ◽  
Structural Equation ◽  
Developing Economies ◽  
Capital City ◽  
Purchase Behavior ◽  
Primary Data ◽  
Equation Modeling ◽  
Survey Method ◽  
The Impact

AbstractThe effect of Web atmospheric clues on the purchase intention of Jordanian shoppers has been evaluated in this study, along with the interventions of Website gratification. The primary data collection for testing the research model via a survey method has been performed from Jordan's capital city, namely Amman. The tenure of data collection from Amman is from July to January 2020. The Structural Equation Modeling method was used to analyze the data with AMOS 22.0 software. Convergent and discriminatory legitimacy of the measurement model has been estimated with the use of confirmatory factor analysis. The satisfaction component effectively negotiates the impact of Website clues on the intent of purchase. Moreover, the purchase intention is a consequent effect of the satisfaction caused by these preliminary factors. The e-retailers and marketers of Jordan are able to interpret the influence of multiple stimulating factors on the satisfaction gained from Web-related services with the help of the outcomes of this study. It is the prerogative of online retailers to ensure the delivery of the strongest atmospheric clues impacting the Website satisfaction to the shoppers. In the context of Jordanians, this study establishes that Web managers should designate a higher number of resources to the clues that enhance the excitement value of the atmospherics of Web portals. This study boosts the knowledge of the researchers having academic interest and practical inclination toward the aspects of developing economies and adds to their current level of knowledge regarding e-retailing and online buying behavior.

Sign in / Sign up

Export Citation Format

Share Document