scholarly journals ON THE PATH TO ARTIFICIAL INTELLIGENCE: THE EFFECTS OF A ROBOTICS SOLUTION IN A FINANCIAL SERVICES FIRM

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Hamieda Parker ◽  
Stephanie Elaine Appel
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Financial Services ◽  
Data Entry ◽  
Research Approach ◽  
Work Experiences ◽  
Action Research Approach ◽  
Before And After ◽  
The Impact

As ever-increasing advances in automation and artificial intelligence solutions create more opportunities for businesses to streamline their operations, the key challenges for managers are to identify the appropriate use cases for automation solutions in their organisations and to integrate the solution effectively to meet the objectives of both the firm and its employees. This case study examines the impact of implementing a machine-learning robotic process automation (RPA) solution that is aimed at reducing manual data entry tasks for employees in a financial services firm. The study employed an action research approach to follow a single team in the firm before and after the RPA implementation — a period of six months. The findings showed that RPA improved productivity in the team and created more positive work experiences for employees, as they had more time to dedicate to creative, cognitive, and customer service tasks. The study also found that the roles of employees were being redefined during the integration process, with employees reporting a high potential for broader transformation in the business as a result of the RPA implementation.

scholarly journals Enhancing graduate employability in product design

2018 ◽  
Vol 8 (1) ◽  
pp. 80-93 ◽  
Author(s):  
Matthew Alan Watkins ◽  
Martin Higginson ◽  
Philip Richard Clarke
Keyword(s):  
Student Feedback ◽  
Research Approach ◽  
Long Term Effects ◽  
Content Type ◽  
Graduate Employability ◽  
Action Research Approach ◽  
Internal Student ◽  
The University ◽  
The Impact

Purpose The purpose of this paper is to present a case study to discuss approaches taken within a traditional undergraduate degree course to embed employability skills, encourage student uptake of sandwich placement and increase graduate prospects. A number of new initiatives are presented, including working with live industrial clients, formally preparing students for placement applications and the introduction of an externally facing student run design consortium. Alongside these new initiatives, details of the existing sandwich year provision are also considered and their effectiveness. Design/methodology/approach A case study-based action research approach presents changes to a specific undergraduate course, measuring the effectiveness over a four-year period using externally collected national Destination of Leavers in Higher Education (DLHE) data and internal student feedback to assess the long-term effects on employability. Findings The paper considers improvements in the graduate employability over the four year period covered, in particular, an increase in the graduate employability from 81 to 100 per cent and graduate prospects from 62.5 to 95.2 per cent for sandwich students. Data presented also considers additional student feedback correlating with an increase in their preparedness for employment. Practical implications The implications of undertaking the changes highlighted within this paper have been relatively straightforward, due to the small incremental nature of the changes and the opportunities available through the agencies within the university, and should be replicable at least in part at other HE institutions. Originality/value This paper considers the impact of employability initiatives undertaken on a single undergraduate course and how these have affected the employability of graduates over a four-year period, supported by student feedback both internally and externally through national feedback mechanisms. It is anticipated that this research would be beneficial for informing and guiding the development of employability on other undergraduate programmes.

Modernisation of Higher Education – Willful Action or Wishful Thinking? The Case of Bulgaria

2020 ◽  
Vol 8 (3) ◽  
pp. 3-17
Author(s):  
Elena Blagoeva
Keyword(s):  
Higher Education ◽  
Economic Crisis ◽  
Negative Impact ◽  
National Level ◽  
Sustainable Growth ◽  
Research Approach ◽  
Case Study Methodology ◽  
The Impact ◽  
The Eu

The impact of the last global economic crisis (2008) on the European economy put a strain on higher education (HE), yet it also pushed the sector towards intensive reforms and improvements. This paper focuses on the “Strategy for the Development of Higher Education in the Republic of Bulgaria 2014-2020”. With a case study methodology, we explore the strategic endeavours of the Bulgarian government to comply with the European directions and to secure sustainable growth for the HE sector. Our research question is ‘How capable is the Bulgarian HE Strategy to overcome the economic and systemic restraints of Bulgarian higher education?’. Because the development of strategies for HE within the EU is highly contextual, a single qualitative case study was chosen as the research approach. HE institutions are not ivory towers, but subjects to a variety of external and internal forces. Within the EU, this is obviated by the fact that Universities obtain their funds from institutions such as governments, students and their families, donors, as well as EU-level programmes. Therefore, to explore how these pressures interact to affect strategic action on national level, the case method is well suited as it enabled us to study the phenomena thoroughly and deeply. The paper suggests the actions proposed within the Strategy have the potential to overcome the delay, the regional isolation and the negative impact of the economic crisis on the country. Nevertheless, the key elements on which the success or failure of this Strategy hinges are the control mechanisms and the approach to implementation. Shortcomings in these two aspects of strategic actions in HE seem to mark the difference between gaining long-term benefits and merely saving face in front of international institutions.

Impact of merger on efficiency and productivity : a case study of commercial banks in Malaysia

1970 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Mahadzir Ismail ◽  
Saliza Sulaiman ◽  
Hasni Abdul Rahim ◽  
Nordiana Nordin
Keyword(s):  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Master Plan ◽  
Before And After ◽  
Domestic Banks ◽  
The Impact ◽  
Efficiency And Productivity

The Financial Master Plan (2001- 2010) aims to enhance the capacity of banking industry so that higher effic iency and productivity can be reaped in the future. This study seeks to determine the impact of merger on the efficiency and productivity ofcommercial banks in Malaysia for the period 1995 until 2005. The study uses a non-parametric approach, nam ely DEA (data envelopment analysis?) to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs are used. Amongst the findings are those banks exhibit higher efficiency score after the merger and thefo reign banks are more efficient than the local banks. Productivity of the banks is calculated in both periods, before and after the merger: The results show that, it is the local banks that have improved the most after the merger. The main source of productivity is technical change or innovation. The findings support the existing policy of having larger domestic banks in term of size.

scholarly journals Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

2021 ◽  
Author(s):  
Suzanne L. van Winkel ◽  
Alejandro Rodríguez-Ruiz ◽  
Linda Appelman ◽  
Albert Gubern-Mérida ◽  
Nico Karssemeijer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Support System ◽  
Reading Time ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
Screening Programs ◽  
The Impact

Abstract Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the aid of an artificial intelligence (AI) support system. Also, the impact on reading time was assessed and the stand-alone performance of the AI system in the detection of malignancies was compared to the average radiologist. Methods A multi-reader multi-case study was performed with 240 bilateral DBT exams (71 breasts with cancer lesions, 70 breasts with benign findings, 339 normal breasts). Exams were interpreted by 18 radiologists, with and without AI support, providing cancer suspicion scores per breast. Using AI support, radiologists were shown examination-based and region-based cancer likelihood scores. Area under the receiver operating characteristic curve (AUC) and reading time per exam were compared between reading conditions using mixed-models analysis of variance. Results On average, the AUC was higher using AI support (0.863 vs 0.833; p = 0.0025). Using AI support, reading time per DBT exam was reduced (p < 0.001) from 41 (95% CI = 39–42 s) to 36 s (95% CI = 35– 37 s). The AUC of the stand-alone AI system was non-inferior to the AUC of the average radiologist (+0.007, p = 0.8115). Conclusions Radiologists improved their cancer detection and reduced reading time when evaluating DBT examinations using an AI reading support system. Key Points • Radiologists improved their cancer detection accuracy in digital breast tomosynthesis (DBT) when using an AI system for support, while simultaneously reducing reading time. • The stand-alone breast cancer detection performance of an AI system is non-inferior to the average performance of radiologists for reading digital breast tomosynthesis exams. • The use of an AI support system could make advanced and more reliable imaging techniques more accessible and could allow for more cost-effective breast screening programs with DBT.

scholarly journals Using patient feedback to drive quality improvement in hospitals: a qualitative study

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037641
Author(s):  
Simone Berger ◽  
Ana Maria Saut ◽  
Fernando Tobal Berssaneti
Keyword(s):  
Quality Improvement ◽  
Customer Service ◽  
Secondary Data ◽  
Study Data ◽  
Patient Feedback ◽  
Multiple Case ◽  
Net Promoter ◽  
The Impact ◽  
Quality Tools

ObjectivesAlthough different forms of patient feedback are available, their use in hospital management is still limited. The objective of this study is to explore how patient feedback is currently used in hospitals to improve quality.DesignThis is a qualitative exploratory multiple case study. Data collection included nine interviews, of an average duration of 50 min, conducted between March and June 2019. Additionally, a document and secondary data analysis were performed.SettingThis study was conducted in three Brazilian hospitals selected for their solid patient feedback practises.ParticipantsManagers from the customer service, quality, nursing, operations, projects and patient experience departments of the three hospitals.ResultsDespite literature suggesting that organisational objectives regarding patient feedback are not clear, data show that there is managerial concern regarding the promotion of an environment capable of changing according to patient feedback. In these instances, organisational processes were structured to focus on patients’ feedback and its receipt by the staff, including a non-punitive culture. Several patient feedback forms are available: voluntary events, patient surveys and informal feedback. Instruments to measure patient feedback focused on specific aspects of healthcare, to identify and clarify the problems for addressal by the management. The net promoter score was the main strategic indicator of patient feedback, used to assess the impact of improvement action.ConclusionsThe hospitals had established objectives that valued the patient’s perspective. Involvement of the health team, availability of different channels for feedback and the use of quality tools are considered a good basis for using patient feedback to drive quality improvement.

AIRA, an Artificial Intelligence Realistic Assistant that will save your time, a before-and-after study during Pandemic (Preprint)

2021 ◽  
Author(s):  
Kaio Bin ◽  
Adler Araújo Ribeiro Melo ◽  
José Guilherme Franco Da Rocha ◽  
Renata Pivi De Almeida ◽  
Vilson Cobello Junior ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Electronic Health Record ◽  
Medical Care ◽  
Health Screening ◽  
Urgent Care ◽  
Health Record ◽  
Before And After ◽  
Electronic Health ◽  
The Impact ◽  
Before And After Study

BACKGROUND AIRA is an AI designed to reduce the time that doctors dedicate filling out EHR, winner of the first edition of MIT Hacking Medicine held in Brazil in 2020. As a proof of concept, AIRA was implemented in administrative process before its application in a medical process. OBJECTIVE The aim of the study is to determinate the impact of AIRA by eliminating the Medical Care Registration (MCR) on Electronic Health Record (EHR) by Administrative Officer. METHODS This is a comparative before-and-after study following the guidance “Evaluating digital health products” from Public Health England. An Artificial Intelligence named AIRA was created and implemented at CEAC (Employee Attention Center) from HCFMUSP. A total of 25,507 attendances were evaluated along 2020 for determinate AIRA´s impact. Total of MCR, time of health screening and time between the end of the screening and the beginning of medical care, were compared in the pre and post AIRA periods. RESULTS AIRA eliminated the need for Medical Care Registration by Administrative Officer in 92% (p<0.0001). The nurse´s time of health screening increased 16% (p<0.0001) during the implementation, and 13% (p<0.0001) until three months after the implementation, but reduced in 4% three months after implementation (p<0.0001). The mean and median total time to Medical Care after the nurse’ Screening was decreased in 30% (p<0.0001) and 41% (p<0.0001) respectively. CONCLUSIONS The implementation of AIRA reduced the time to medical care in an urgent care after the nurse´ screening, by eliminating non-value-added activity the Medical Care Registration on Electronic Health Record (EHR) by Administrative Officer.

scholarly journals Analysis of Linkages between Environmental Policy Instruments and Innovation: A Case Study of End-of-Life Vehicles Technologies in Japan

2016 ◽  
Vol 9 (2) ◽  
pp. 181 ◽  
Author(s):  
Rajeev Kumar Singh ◽  
Helmut Yabar ◽  
Rie Murakami-Suzuki ◽  
Noriko Nozaki ◽  
Randeep Rakwal
Keyword(s):  
Environmental Policy ◽  
End Of Life ◽  
Environmental Regulations ◽  
Policy Instruments ◽  
Control Policy ◽  
Before And After ◽  
Exogenous Factors ◽  
And Control ◽  
The Impact

<p>Environmental policies are designed to deal with externalities either by internalizing environmental costs or imposing specific standards for environmental pollution. This study aims to examine the impact of environmental regulations related to End-of-Life Vehicles (ELV) on innovation in Japan. We determined whether there is any statistical difference in patent activity comparing the periods before and after the regulations were enacted. In order to control for exogenous factors such as business cycles, we also analyzed the ratios of ELV and total environmental patents during the same periods. Results showed that environmental regulations drive innovations and the number of ELV-related patents were larger even after controlling for such exogenous factors. We concluded that environmental policy for ELV in Japan was effective in inducing innovation. However, we also found that the weakness in these types of command and control policy is the lack of incentives for further innovation.</p>

Evaluation of an action research project in workforce development and organisational change: Healthy Ageing—Nutrition

2008 ◽  
Vol 8 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Gwyneth M Jolley
Keyword(s):  
Action Research ◽  
Workforce Development ◽  
Organisational Change ◽  
Healthy Ageing ◽  
Evaluation Methodology ◽  
Research Approach ◽  
Action Research Project ◽  
Research Project ◽  
Action Research Approach

This article reports on the evaluation of an action research project designed to support workforce development in the promotion of healthy nutrition for older people. The evaluation methodology was grounded by the action research approach of the project and focused on case studies of the 10 partner organisations. Findings indicate that the Healthy Ageing—Nutrition Project has resulted in a large increase in awareness and knowledge about healthy ageing and nutrition in the case study organisations, and to a lesser extent, in the broader health and aged care sectors. For the case study organisations it seems likely that transformational change has been made through the project's work of building capacity, mediating and facilitating change and providing resources. Support at board and management level, as well as thoughtful development of the workforce, were critical success factors in bringing about organisational change. The main challenge was identified as time and resources needed. Follow-up evaluation of the health outcomes from nutritional assessment, screening and intervention should also be implemented in order to provide further evidence of the value of this effort.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

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