scholarly journals Doctoral research work and work of care: reflections in times of a pandemic

2020 ◽  
Vol 198 (1-2) ◽  
pp. 247-251
Author(s):  
Catarina Barata ◽  
Luísa Coutinho ◽  
Federica Manfredi ◽  
Madelon Schamarella
Keyword(s):  
Research Work ◽  
Unpaid Work ◽  
Paid Work ◽  
Personal Lives ◽  
Doctoral Research ◽  
The Face ◽  
Doctoral Work

In the face of the pandemic, we have been forced to adopt strategies in order to balance our doctoral work at the same time as caring for our families. As the digital turn has pervaded both social and academic milieus, we consider the potentials and shortcomings of remote interactions and approaches and how they have impacted our work and personal lives. We focus on the challenges of balancing paid work and the unpaid work of care, as well as considering potential changes to the concept of care in terms of building a caring culture.

Impact of Chatbot in Transforming the Face of Retailing- An Empirical Model of Antecedents and Outcomes

2019 ◽  
Vol 12 ◽  
Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki
Keyword(s):  
Research Work ◽  
Shopping Behavior ◽  
Model Framework ◽  
Shopping Experience ◽  
The Face ◽  
Strongly Agree ◽  
Different Characteristics ◽  
Work Done ◽  
The Impact ◽  
Self Administered Questionnaire

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.

scholarly journals Has the Economic Lockdown Following the Covid-19 Pandemic Changed the Gender Division of Labor in Israel?

2021 ◽  
pp. 089124322110012
Author(s):  
Meir Yaish ◽  
Hadas Mandel ◽  
Tali Kristal
Keyword(s):  
Gender Inequality ◽  
Unpaid Work ◽  
Paid Work ◽  
Flexible Work ◽  
Work Arrangements ◽  
Work From Home ◽  
The Family ◽  
Allocation Of Time ◽  
Using Data ◽  
Families With Children

The economic shutdown and national lockdown following the outbreak of COVID-19 have increased demand for unpaid work at home, particularly among families with children, and reduced demand for paid work. Concurrently, the share of the workforce that has relocated its workplace to home has also increased. In this article, we examine the consequences of these processes for the allocation of time among paid work, housework, and care work for men and women in Israel. Using data on 2,027 Israeli adults whom we followed since the first week of March (before the spread of COVID-19), we focus on the effect of the second lockdown in Israel (in September) on the gender division of both paid and unpaid work. We find that as demand for housework caused by the lockdown increases, women—especially with children—increase their housework much more than men do, particularly when they work from home. The consequences of work from home and other flexible work arrangements for gender inequality within the family are discussed.

scholarly journals The First and Second Hands Data in Doctoral Research Work

2016 ◽  
Vol 6 (2) ◽  
pp. 133
Author(s):  
Hasan Jashari
Keyword(s):  
Research Work ◽  
Scientific Research ◽  
Direct Analysis ◽  
Clear Picture ◽  
Basic Principles ◽  
Doctoral Research ◽  
Secondary Sources ◽  
Source Data ◽  
Data Source ◽  
Mixed Approach

It is a matter of debate about what a scientific research is. But within this issue we often discuss about the data source. These issues have raised some dilemmas of ethical character on how datas shall be collected, who collects them, and who may use and the way they are used. No doubt those doctorates represent a research but the purpose of this paper is to stimulate debate on some essential criteria which it should have. The first question we put forth is that how much of the data presented by the candidate are of first hand- collected by the candidate himself, his team and how much data are used from other sources or are given from second hand (Mattews, Ross, 2012). From the direct analysis of the doctorate works in SEE University, it turns out that there is a mixed approach of using the data and their presentation. We can freely say that first-hand data are more in number but there is also a great numbers of dissertations without first-hand data, so without source data, collected directly by the author on the determined subject of his paper . So the permanent question that should afflict us is that whether a dissertation should always respect innovation and basic principles of Salzburg Principles? By reviewing of the literature, documents analyzing, statistical analyzing we will be able to give a clear picture of how the of primary and secondary sources in the dissertation work should be used.

scholarly journals Implementation of face and eye detection on DM6437 board using simulink model

2020 ◽  
Vol 9 (2) ◽  
pp. 785-791
Author(s):  
B. Vijayalaxmi ◽  
Kaushik Sekaran ◽  
N. Neelima ◽  
P. Chandana ◽  
Maytham N. Meqdad ◽  
...  
Keyword(s):  
Research Work ◽  
Warning Signal ◽  
Blink Rate ◽  
Driver Fatigue ◽  
Simulink Model ◽  
Detection Stage ◽  
The Face ◽  
Fatigue Estimation ◽  
Motivating Factor ◽  
Fatigue Detection

Driver Assistance system is significant in drriver drowsiness to avoid on road accidents.  The aim of this research work is to detect the position of driver’s eye for fatigue estimation. It is not unusual to see vehicles moving around even during the nights. In such circumstances there will be very high probability that a driver gets drowsy which may lead to fatal accidents. Providing a solution to this problem has become a motivating factor for this research, which aims at detecting driver fatigue. This research concentrates on locating the eye region failing which a warning signal is generated so as to alert the driver. In this paper, an efficient algorithm is proposed for detecting the location of an eye, which forms an invaluable insight for driver fatigue detection after the face detection stage. After detecting the eyes, eye tracking for input videos has to be achieved so that the blink rate of eyes can be determined.

Leveraging on the Digital Twin for improving retail store daily operations management

2019 ◽  
Author(s):  
Yasmina Maizi ◽  
Ygal Bendavid
Keyword(s):  
Real Time ◽  
Operations Management ◽  
Impact Analysis ◽  
Manufacturing Sector ◽  
Research Work ◽  
Data Gathering ◽  
Time Data ◽  
Fast Development ◽  
The Face ◽  
The Impact

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.

Communication Media and Digital Literacy as Intervention Tools in Prisons

2019 ◽  
pp. 105-125
Author(s):  
Paloma Contreras-Pulido ◽  
Ignacio Aguaded
Keyword(s):  
Digital Literacy ◽  
Qualitative Methodology ◽  
Research Work ◽  
Personal Transformation ◽  
Social Intervention ◽  
Communication Media ◽  
Doctoral Research ◽  
Radio Programs ◽  
Depth Interviews

In Spain, there are a few projects that link communication with social intervention in prisons. These projects have remained invisible to society, and similar initiatives taking place in other prisons were even unknown amongst themselves. It is not common to find radio, programs of digital literacy, magazines, or even television and cinema in prisons. These are activities that remain within the walls and come about from the restlessness of the educators who voluntarily produce them. The work presented comes about the doctoral research work that for 4 years explored these initiatives. Through qualitative methodology, based on the use of in-depth interviews, the authors give voice to 20 prisoners and educators that participate in these projects in Spanish jails. Without claiming to be representative, the results show that these activities can become a powerful tool for social-educative integration and personal transformation.

scholarly journals Returning to Unpaid Work after Stroke: The Psychosocial Outcomes in Stroke Cohort Study

2019 ◽  
Vol 47 (1-2) ◽  
pp. 1-7
Author(s):  
Cheryl Carcel ◽  
Sara Farnbach ◽  
Beverley M. Essue ◽  
Qiang Li ◽  
Nick Glozier ◽  
...  
Keyword(s):  
Sex Differences ◽  
Cohort Study ◽  
New South ◽  
Psychosocial Outcomes ◽  
Unpaid Work ◽  
Stroke Recovery ◽  
Paid Work ◽  
Unpaid Care ◽  
South Wales

Background: While returning to paid work is a crucial marker of stroke recovery, little is known about the differences in unpaid work by sex following stroke. We aimed to determine the sex differences in participation in unpaid work 12 months after stroke. Methods: Psychosocial outcomes in stroke were a prospective, multicentre observational study that recruited individuals, 18–64 years, within 28 days of stroke from New South Wales, Australia. Unpaid work was defined as ≥5 h per week of one or more of: unpaid domestic work for the household; unpaid care of others; looking after own children without pay or looking after someone else’s children without pay. Data was collected before stroke, 28 days (baseline), 6 and 12 months follow-up. Results: Eighty per cent of women and 52% of men engaged in ≥5 h per week of unpaid work before stroke. At 12 months after, 69% of women and 53% of men completed ≥5 h of unpaid work per week. For women, there was a significant association between participation in unpaid work at 12 months and having financially dependent children (OR 2.67; 95% CI 1.08–6.59). A return to unpaid work in men was associated with participation in unpaid work before stroke (OR 3.74; 95% CI 2.14–6.53). Conclusions: More women are engaged in unpaid work before and at 12 months after stroke, but there is a reduction in the proportion of women returning to unpaid work at 12 months not seen in men. Consideration may need to be given to the development of rehabilitation strategies targeted at the specific needs of stroke survivors.

INNOVATIVE FORMING TECHNOLOGY AS A KEY FOR THE EFFECTIVE MANUFACTURING OF LIGHTWEIGHT STRUCTURES

2008 ◽  
Vol 07 (01) ◽  
pp. 37-40
Author(s):  
ERMAN TEKKAYA ◽  
MICHAEL TROMPETER ◽  
WERNER HOMBERG
Keyword(s):  
Sheet Metal ◽  
Traffic Engineering ◽  
Research Work ◽  
High Strength ◽  
Special Focus ◽  
Lightweight Construction ◽  
Lightweight Structures ◽  
Forming Technology ◽  
The Face ◽  
Volume Production

Current tends in car body or rail traffic engineering aim at the realization of modern lightweight structures. In this context, demanding technological and economical requirements like the use of high strength materials, the forming of very complex geometries, and the reduction of costs, particularly with regard to low volume production, must be achieved. Novel approaches in the field of sheet metal hydroforming are able to overcome existing limitations of conventional forming technologies and feature a higher potential for an effective manufacturing of lightweight structures. This paper shows the current research work at the Institute of Forming Technology and Lightweight Construction (IUL) in the face of sheet metal hydroforming with a special focus on the design of tool systems.

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