scholarly journals Smith, Jason E. 2020. Smart Machines and Service Work. Automation in an Age of Stagnation. London: Reaktion Books.

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sigurd M. N. Oppegaard
Keyword(s):  
Service Work ◽  
Smart Machines

New Organisational Challenges for Human Service Work

Pflege ◽  
2004 ◽  
Vol 17 (04) ◽  
pp. 0281-0282
Author(s):  
Johnny Hellgren ◽  
Katharina Näswall ◽  
Magnus Sverke ◽  
Marie Söderfelt
Keyword(s):  
Human Service ◽  
Service Work

Getting Smarter About Smart Machines for Education

2004 ◽  
Vol 49 (6) ◽  
pp. 694-698
Author(s):  
Janet L. Kolodner
Keyword(s):  
Smart Machines

Testing the DISC-Model in Service Work: Predicting Emotional Exhaustion

2013 ◽  
Author(s):  
Natasja van Vegchel ◽  
Jan de Jonge ◽  
Christian Dormann ◽  
Wilmar Schaufeli
Keyword(s):  
Emotional Exhaustion ◽  
Service Work ◽  
Disc Model

"Service With a Smile, Regardless": Emotions and Customer Service Work

2006 ◽  
Author(s):  
Steffanie L. Wilk ◽  
Nancy P. Rothbard ◽  
Theresa M. Glomb
Keyword(s):  
Customer Service ◽  
Service Work

Impact of Digitalization on Service Work in Knowledge-Intensive Business Services: An Empirical Study in Tax Consultancies

2019 ◽  
Vol 3 (4) ◽  
pp. 209-222
Author(s):  
Philipp K. Görs ◽  
Henning Hummert ◽  
Anne Traum ◽  
Friedemann W. Nerdinger
Keyword(s):  
Work Engagement ◽  
Service Work ◽  
Psychological Consequences ◽  
Business Services ◽  
Knowledge Intensive Business Services ◽  
Positive Effects ◽  
Knowledge Intensive ◽  
The Impact ◽  
Positive Effect ◽  
Special Case

Digitalization is a megatrend, but there is relatively little knowledge about its consequences for service work in general and specifically in knowledge-intensive business services (KIBS). We studied the impact of digitalization on psychological consequences for employees in tax consultancies as a special case of KIBS. We compare two tax consulting jobs with very different job demands, those of tax consultants (TCs) and assistant tax consultants (ATCs). The results show that the extent of digitalization at the workplace level for ATCs correlates significantly positively with their job satisfaction. For TCs, the same variable correlates positively with their work engagement. These positive effects of digitalization are mediated in the case of ATCs by the impact on important job characteristics. In the case of TCs, which already have very good working conditions, the impact is mediated by the positive effect on self-efficacy. Theoretical and practical consequences of these results are discussed.

Socio-Economic Status of Dalits Community in Sindhuli District

Patan Pragya ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 154-161
Author(s):  
Bed Prasad Neupane
Keyword(s):  
Social Status ◽  
Total Population ◽  
Economic Condition ◽  
Economic Status ◽  
Social Awareness ◽  
Service Work ◽  
Level Of Education ◽  
Socio Economic Status ◽  
The Social ◽  
Traditional Occupation

This study is based on Kamalamai Municipality, Sindhuli District. There are 56 households of Dalit (Damai 29 and Kami 27) in this area. The census method was used in the study where, total population is 365 from 56 households. Among them, 172 were male and 193 were female. The general objectives of this study are to identify demographic and socio-economic status of Dalits and to find out causes of deprivation of Dalits people in the community. They worked as agricultural labour and service work. Their income is less than their expenditure. Most of them are uneducated but nowadays, the level of education has increased so that their children go to school and college. Only 39 percent were literate and only 7 percent Dalits have passed SLC and +2. They give priority on arrange marriage. Youth generation doesn't like the traditional occupation and skills. They use a lot of alcohol (Jaad and Raski) in the festivals and rituals ceremony however the economic condition of Dalit is poor so many children of them are forced to dropout from schools because their parents cannot afford their education fees. The social status of the females in the Dalit community is very low than the males in the society. After the father's death all the properties is transferred to the son. The main causes for degrading status of Dalits are due to poverty, lack of education and lack of social awareness. So far, there have not been any kinds of policies and plans to uplift the Dalit community in this area.

KEPUASAN KERJA SEBAGAI KUNCI OPTIMALISASI KINERJA PEGAWAI PADA DINAS KEHUTANAN SULAWESI TENGAH

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 28-40
Author(s):  
Harries Madiistriyatno ◽  
Nahardi Nahardi ◽  
Ida Musdafia Ibrahim
Keyword(s):  
Job Satisfaction ◽  
Career Development ◽  
Structural Equation ◽  
Research Method ◽  
Employee Performance ◽  
Equation Model ◽  
Service Work ◽  
Collection Data ◽  
Work Units ◽  
Central Sulawesi

Job satisfaction is one of the keys to accomplish optimal performance. Therefore, conditioning the organization to create job satisfaction is very important. This study aims to prove that the optimization of employee performance can be achieved especially if the job satisfaction has been realized, using career development, competence, and compensation as indicators. This research method was descriptive-verification with the collection data using survey that sampling uses saturated sampling and analyzed using the Structural Equation Model. The object research was employees of the Regional Forestry Service work units of Central Sulawesi Province. The results proved that the job satisfaction was a very important factor in mediating (full mediating variables) the variables of career development, competence, and compensation in improving employee performance, which is indicated by a positive and significant effect. Furthermore, it was proven that the biggest contribution affecting employee performance was the variable job satisfaction, with career development contributes to the highest influence on job satisfaction, followed by competence, and compensation.   Keywords: Job satisfaction, career development, competence, compensation, and employee’s performance.

The Changing Nature of Knowledge and Service Work in the Age of Intelligent Machines

2020 ◽  
pp. 343-368
Author(s):  
Crispin Coombs ◽  
Donald Hislop ◽  
Stanimira Taneva ◽  
Sarah Barnard
Keyword(s):  
Ethical Issues ◽  
Work Practice ◽  
Academic Disciplines ◽  
Service Work ◽  
Future Research ◽  
Human Capabilities ◽  
Academic Knowledge ◽  
Intelligent Machines ◽  
Technological Developments ◽  
The Impact

One of the most significant recent technological developments concerns the application of intelligent machines to jobs that up to now have been considered safe from automation. These changes have generated considerable debate regarding the impacts that the widespread adoption of intelligent machines could have on the nature of work. This chapter provides a thematic review, across multiple academic disciplines, of the current state of academic knowledge regarding the impact of intelligent machines on knowledge and service work. Adopting a work-practice perspective, the chapter reviews the extant literature concerning changing relations between workers and intelligent machines, the adoption and acceptance of intelligent machines, and ethical issues associated with greater machine human collaboration. A key finding is that much of the research discusses intelligent machines complementing and extending human capabilities rather than removing humans from work processes. The concept of augmentation of humans and human work, rather than wholesale replacement from automation, flows through the literature across a range of domains. The chapter concludes with a discussion of the main gaps in existing knowledge and ways in which future research may provide a deeper understanding of how people (currently and in the near future) experience intelligent machines in their day-to-day work practice. These include the need for multi-disciplinary research, the role of contexts, the need for more and better empirical research, the changing relationships between humans and intelligent machines, the adoption and acceptance of the technology, and ethical issues.

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