1 |
J. A. Breaugh. (1985). The Measurement of Work Autonomy. Human Relations, 38(6), 551-570. DOI :/10.1177/001872678503800604
DOI
|
2 |
J. B. Olson-Buchanan & W. R. Boswell. (2006). Blurring Boundaries: Correlates of Integration and Segmentation between Work and Nonwork. Journal of Vocational Behavior, 68(3), 432-445.
DOI
|
3 |
J. Mahler. (2012). The Telework Divide: Managerial and Personnel Challenges of Telework. Review of Public Personnel Administration, 32(4), 407-418. DOI : 10.1177/0734371X12458127
DOI
|
4 |
F. P. Morgeson & S. E. Humphrey. (2006). The Work Design Questionnaire (WDQ): Developing and Validating a Comprehensive Measure for Assessing Job Design and the Nature of Work. Journal of Applied Psychology, 91(6), 1321-1339. DOI : 10.1037/0021-9010.91.6.1321
DOI
|
5 |
S. H. Sohn (2013). A Study on the Effect of Information Security Awareness and Behavior of Job Autonomy and Burden and Mobility under Smart Work Environment. Korean Journal of Economics, 31(4), 17-39.
|
6 |
National Information Society Agency. (2020). 2020 Smart Work Survey Results Report.
|
7 |
H. Kim & H. Oh. (2018). Study on the Effects of Work Autonomy, Work Environment, and Innovation-oriented Culture on the Innovative Behavior of Public Servants : Focusing on the Effect Difference of Satisfaction with using the Smart Work Center. Journal of Social Science, 29(3), 243-266.
DOI
|
8 |
M. Kim. (2015). A Study on the Effect of Smartwork Environment on Office Administrators' Organizational Effectiveness: Moderated by Concerns and Work-Life Balance. The Journal of Society for e-Business Studies, 20(2), 37-71.
DOI
|
9 |
A. Vaananen & M. Toivanen. (2018). The Challenge of Tied Autonomy for Traditional Work Stress Models, Work & Stress, 32(1), 1-5. DOI : 10.1080/02678373.2017.1415999
DOI
|
10 |
S. Namn, K. Noh & Y. Kim (2011). Models for Determining the Levels of Smart Work. Journal of Digital Convergence, 9(4), 191-200.
DOI
|
11 |
J. Wajcman & E. Rose. (2011). Constant Connectivity: Rethinking Interruptions at Work. Organization Studies, 32, 941-961.
DOI
|
12 |
J. R. Hackman & G. R. Oldham. (1980). Work Redesign. Reading, MA: Addison-Wesley.
|
13 |
M. K. Ahuja, K. M. Chudoba, C. J. Kacmar, D. H. McKnight & J. F. George. (2007). IT Road Warriors. MIS Quarterly, 31(1), 1-17.
DOI
|
14 |
Y. Kwon & S. Nam. (2021). The Effect of the Perception of SmartWork on the Work-Life Balance: Focused on Mediating Effect of Job Autonomy. The Journal of Korean Policy Studies, 21(3), 141-170.
DOI
|
15 |
G. M. Spreizer. (1995). Individual Empowerment in the Workplace: Dimensions, Measurement, and Validation, Academy of Management Journal, 38, 1442- 1465.
DOI
|
16 |
J. R. Hackman & G. R. Oldham. (1975). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60, 159-170.
DOI
|
17 |
B. E. Ashforth, G. E.. Kreiner & M. Fugate. (2000). All in a Day's Work. Academy of Management Review, 25(3), 472-491.
DOI
|
18 |
B. Menguc & S. N. Bhuian. (2004). Career Stage Effects on Job Characteristic-Job Satisfaction Relationships among Guest Worker Salespersons. Journal of Personal Selling and Sales Management, 24(3), 215-227.
|
19 |
A. N. Turner & P. R. Lawrence. (1965). Industrial Jobs and the Workers: An Investigation of Response to Task Attributes. Harvard University, Division of Research, Graduate School of Business Administration.
|
20 |
A. B. Bakker & E. Demerouti. (2007). The Job Demands-Resources Model: State of the Art. Journal of Managerial Psychology, 22(3), 309-328.
DOI
|
21 |
J. De Jonge, M. J. G. Mulder & F. J. Nijhuis. (1999). The Incorporation of Different Demand Concepts in the Job Demand-Control Model: Effects on Health Care Professionals. Social Science & Medicine, 48(9), 1149-1160. DOI : 10.1016/S0277-9536(98)00429-8
DOI
|
22 |
J. De Jonge, J. H. Landeweerd & G. J. P. Van Breukelen, (1994). The Maastricht Autonomy List: Background, Construction and Validation. Gedrag & Organisatie, 7(1), 27-41
|
23 |
L. Bailyn. (1985). Autonomy in the Industrial R&D Lab. Human Resource Management, 24(2), 129-146. DOI : 10.1002/hrm.3930240204.
DOI
|
24 |
C. E. Barney & S. M. Elias. (2010). Flex-Time as a Moderator of the Job Stress-Work Motivation Relationship: A Three Nation Investigation. Personnel Review, 39(4), 487-502. DOI : 10.1108/00483481011045434
DOI
|
25 |
S. Oh, Y. Kim, H. Lee & J. Lee. (2014). A Study on the Interferences Between Work and Nonwork in the Smart Work Context, Journal of Digital Convergence, 12(4), 213-226
DOI
|
26 |
S. De Spiegelaere, G. Van Gyes & G. Van Hootegem. (2016). Not All Autonomy is the Same. Different Dimensions of Job Autonomy and Their Relation to Work Engagement and Innovative Work Behavior. Human Factors and Ergonomics in Manufacturing & Service Industries, 26, 515-527.
DOI
|
27 |
M. Toivanen, K. Yli-Kaitala, O. Viljanen, A. Vaananen, M. Turpeinen, M. Janhonen & A. Koskinen. (2016). (A)synchrony of Timelines among Professionals. Helsinki: Finnish Institute of Occupational Health.
|
28 |
M. Kang, C. Jung, & Y. Chung. (2013). An Empirical Study on the Factors Influencing the Acceptance of SmartWork. Management & Information Systems Review, 32(1), 19-41.
|
29 |
R. Karasek & T. Theorell. (1990). Healthy Work: Stress, Productivity, and the Reconstruction of Working Life. New York, NY: Basic Books.
|
30 |
Y. Park, J. Lee & Y. Lee. (2014). A Study on Job Satisfaction of Smart Work Worker and Smart Work Continued Usage. The Journal of Society for e-Business Studies, 19(3), 23-49.
DOI
|
31 |
E. Ko, S. Lee & S. Kim. (2018). Effects of Job Autonomy and Self-Efficacy on Creative Behavior: Focusing on the Mediation Effect of Knowledge Sharing in Smart Work Environment. Knowledge Management Review, 19(2), 163-186.
DOI
|
32 |
S. Jeong & Y. Shin. (2018). A Study on the Analysis of Difference between IT and Non-IT Companies on the Smart Work Environment Continuous Use Intention: Focusing on Korean Small and Medium Enterprises. Journal of Digital Convergence, 16(3), 249-259.
DOI
|