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      테크노스트레스가 개인 생산성에 미치는 영향에 관한 연구 : 학습능력과 자기효능감의 매개효과를 중심으로 = A Study on the Effect of Technostress on Individual Productivity : Focused on the Mediating Effect of Learning Ability and Self-Efficacy

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      https://www.riss.kr/link?id=A108000098

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      다국어 초록 (Multilingual Abstract)

      In the digital transformation paradigm of the whole society, triggered by the development of information technology, ICT is utilized as a basic means of business activities and has an important impact on changes in the way of work. At the same time, changes in the work environment and corporate organizational form are accelerating due to unavoidable fluctuations in the external environment including COVID-19.
      The increase in stress among organizational members caused by these technology-based changes in the work environment has become another essential factor for companies to manage in order to boost performance. Prior studies on technostress have mainly focused on the cause of technostress along with the relationship between technostress and productivity. However, there is still a lack of research on the factors affecting the relationship between them, especially the influence relationship according to individual characteristics. Therefore, more approaches are needed to consider the use of many variables related to personal inclinations and characteristics.
      In this study, the effect of technostress on individual productivity was analyzed for members of corporate organizations who perform tasks using ICT technology. In particular, the structural influence relationship was analyzed between technostress, learning ability, self-efficacy, and individual productivity variables by confirming the mediating effects of learning ability and self-efficacy, which are individual characteristics of organizational members.
      As a result of the analysis, it was found that technology uncertainty and technology invasion had a negative (-) effect on an individual learning ability in the relationship between technostress and learning ability. In the relationship between technostress and self-efficacy, it was revealed that techno-complexity, techno-uncertainty, and techno-invasion had a negative (-) effect on self-efficacy. In addition, it was confirmed that self-efficacy had a significant mediating effect between individual productivity and technostress from techno-complexity, techno-uncertainty, and techno-invasion.
      This study has expanded previous studies on the relationship between productivity and technostress which is a dysfunction that occurs from the use of ICT. In particular, it was systematically identified through a more detailed analysis from the perspective of individual characteristics, that is, the mediating effect of self-efficacy. This has academic significance in that it provides a basis for research for a systematic approach to technostress felt by members and for preparation of countermeasures. From a practical point of view, it was confirmed that technostress caused by the rapid transition to a fast digital environment of companies using ICT reduces self-efficacy and ultimately decreases productivity.
      In particular, if an organization implements policies and systems that can continuously manage technostress arising from techno-complexity, techno-uncertainty, and techno-invasion, which have been identified as having a significant effect on self-efficacy, it is expected to increase individual productivity and ultimately improve organizational performance.
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      In the digital transformation paradigm of the whole society, triggered by the development of information technology, ICT is utilized as a basic means of business activities and has an important impact on changes in the way of work. At the same time, c...

      In the digital transformation paradigm of the whole society, triggered by the development of information technology, ICT is utilized as a basic means of business activities and has an important impact on changes in the way of work. At the same time, changes in the work environment and corporate organizational form are accelerating due to unavoidable fluctuations in the external environment including COVID-19.
      The increase in stress among organizational members caused by these technology-based changes in the work environment has become another essential factor for companies to manage in order to boost performance. Prior studies on technostress have mainly focused on the cause of technostress along with the relationship between technostress and productivity. However, there is still a lack of research on the factors affecting the relationship between them, especially the influence relationship according to individual characteristics. Therefore, more approaches are needed to consider the use of many variables related to personal inclinations and characteristics.
      In this study, the effect of technostress on individual productivity was analyzed for members of corporate organizations who perform tasks using ICT technology. In particular, the structural influence relationship was analyzed between technostress, learning ability, self-efficacy, and individual productivity variables by confirming the mediating effects of learning ability and self-efficacy, which are individual characteristics of organizational members.
      As a result of the analysis, it was found that technology uncertainty and technology invasion had a negative (-) effect on an individual learning ability in the relationship between technostress and learning ability. In the relationship between technostress and self-efficacy, it was revealed that techno-complexity, techno-uncertainty, and techno-invasion had a negative (-) effect on self-efficacy. In addition, it was confirmed that self-efficacy had a significant mediating effect between individual productivity and technostress from techno-complexity, techno-uncertainty, and techno-invasion.
      This study has expanded previous studies on the relationship between productivity and technostress which is a dysfunction that occurs from the use of ICT. In particular, it was systematically identified through a more detailed analysis from the perspective of individual characteristics, that is, the mediating effect of self-efficacy. This has academic significance in that it provides a basis for research for a systematic approach to technostress felt by members and for preparation of countermeasures. From a practical point of view, it was confirmed that technostress caused by the rapid transition to a fast digital environment of companies using ICT reduces self-efficacy and ultimately decreases productivity.
      In particular, if an organization implements policies and systems that can continuously manage technostress arising from techno-complexity, techno-uncertainty, and techno-invasion, which have been identified as having a significant effect on self-efficacy, it is expected to increase individual productivity and ultimately improve organizational performance.

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      참고문헌 (Reference)

      1 안세환, "테크노 과중과 테크노 침해가 일-가정 갈등에 미치는 영향: 일로부터의 심리적 분리의 매개 효과 및상사-부하 교환관계의 조절 효과를 중심으로" 한국문화및사회문제심리학회 23 (23): 97-129, 2017

      2 천명섭, "직무스트레스에 대한 원충기제로서 사회적 지원과 내외통제성향의역할" 9 (9): 193-211, 1995

      3 박종필, "조직구성원들의 테크노스트레스 형성과 영향에 관한 연구" 한국IT서비스학회 12 (12): 55-71, 2013

      4 가성민, "정규 근로시간 외에 ICT기술을 활용한 업무연락이 일가정갈등에 미치는 영향 : 일중독과 일생활균형의 조절된 매개효과" 한국생산성학회 33 (33): 211-238, 2019

      5 라휘문, "자기효능감이 직무태도와 생산성에 미치는 영향" 국가정책연구소 30 (30): 1-23, 2016

      6 이지영, "유아교사의 테크노스트레스와 스마트폰 중독경향의 관계: 교사효능감과 디지털 디톡스의 이중 매개효과" 사단법인 아시아문화학술원 9 (9): 977-992, 2018

      7 한주희, "외성과지향적 보상환경과 구성원의 스트레스 및 생산적 태도" 한국생산성학회 20 (20): 51-73, 2006

      8 이제현, "스마트워크(Smart Work) 도입의 문제와 대응방안 – 리더십, 커뮤니케이션, 조직문화와 인적자원관리를 중심으로" 국제e-비즈니스학회 22 (22): 107-121, 2021

      9 박상규, "벤처기업의 단계별 국제화 경험과 학습역량이 경영성과에 미치는 영향" 한국중소기업학회 35 (35): 129-157, 2013

      10 이혜선, "데이터 분석 방법에 대한 테크노스트레스가 사회과학 분야 대학원생의 자기 효능감에 미치는 영향 연구: 사회적 지지의 조절 효과를 중심으로" 한국PR학회 24 (24): 1-27, 2020

      1 안세환, "테크노 과중과 테크노 침해가 일-가정 갈등에 미치는 영향: 일로부터의 심리적 분리의 매개 효과 및상사-부하 교환관계의 조절 효과를 중심으로" 한국문화및사회문제심리학회 23 (23): 97-129, 2017

      2 천명섭, "직무스트레스에 대한 원충기제로서 사회적 지원과 내외통제성향의역할" 9 (9): 193-211, 1995

      3 박종필, "조직구성원들의 테크노스트레스 형성과 영향에 관한 연구" 한국IT서비스학회 12 (12): 55-71, 2013

      4 가성민, "정규 근로시간 외에 ICT기술을 활용한 업무연락이 일가정갈등에 미치는 영향 : 일중독과 일생활균형의 조절된 매개효과" 한국생산성학회 33 (33): 211-238, 2019

      5 라휘문, "자기효능감이 직무태도와 생산성에 미치는 영향" 국가정책연구소 30 (30): 1-23, 2016

      6 이지영, "유아교사의 테크노스트레스와 스마트폰 중독경향의 관계: 교사효능감과 디지털 디톡스의 이중 매개효과" 사단법인 아시아문화학술원 9 (9): 977-992, 2018

      7 한주희, "외성과지향적 보상환경과 구성원의 스트레스 및 생산적 태도" 한국생산성학회 20 (20): 51-73, 2006

      8 이제현, "스마트워크(Smart Work) 도입의 문제와 대응방안 – 리더십, 커뮤니케이션, 조직문화와 인적자원관리를 중심으로" 국제e-비즈니스학회 22 (22): 107-121, 2021

      9 박상규, "벤처기업의 단계별 국제화 경험과 학습역량이 경영성과에 미치는 영향" 한국중소기업학회 35 (35): 129-157, 2013

      10 이혜선, "데이터 분석 방법에 대한 테크노스트레스가 사회과학 분야 대학원생의 자기 효능감에 미치는 영향 연구: 사회적 지지의 조절 효과를 중심으로" 한국PR학회 24 (24): 1-27, 2020

      11 Wetzels, M., "Using PLS path modeling for assessing hierarchical construct models : Guidelines and empirical illustration" 33 (33): 177-195, 2009

      12 Schein, E. H., "Three cultures of management : The key to organizational learning" 38 (38): 9-20, 1996

      13 Henseler, J., "The use of partial least squares path modeling in international marketing" 8 (8): 277-319, 2009

      14 McFarlane, D. C., "The scope and importance of human interruption in human-computer interaction design" 17 (17): 1-61, 2002

      15 Yerkes, R. M., "The relation of strength of stimulus to rapidity of habit-formation"

      16 Edwards, J. R., "The person-environment fit approach to stress : Recurring problems and some suggested solutions" 11 (11): 293-307, 1990

      17 Geiger, S., "The perceived impact of information technology on salespeople’s relational competencies" 22 (22): 827-851, 2006

      18 Chin, W. W., "The partial least squares approach to structural equation modeling" 295 (295): 295-336, 1998

      19 Chisholm, R. F., "The nature and predictors of job related tension in a crisis situation : Reactions of nuclear workers to the Three Mile Island accident" 26 (26): 385-405, 1983

      20 Levinthal, D. A., "The myopia of learning" 14 (14): 95-112, 1993

      21 Tarafdar, M., "The impact of technostress on role stress and productivity" 24 (24): 301-328, 2007

      22 Shu, Q., "The impact of computer self-efficacy and technology dependence on computer-related technostress : A social cognitive theory perspective" 27 (27): 923-939, 2011

      23 Speier, C., "The hidden minefields in the adoption of sales force automation technologies" 66 (66): 98-111, 2002

      24 Torkzadeh, G., "The development of a tool for measuring the perceived impact of information technology on work" 27 (27): 327-339, 1999

      25 Cable, D. M., "The convergent and discriminant validity of subjective fit perceptions" 87 (87): 875-884, 2002

      26 Ragu-Nathan, T. S., "The consequences of technostress for end users in organizations : Conceptual development and empirical validation" 19 (19): 417-433, 2008

      27 McGaugh, J. L., "The amygdala modulates the consolidation of memories of emotionally arousing experiences" 27 : 1-28, 2004

      28 Fisher, W., "Tempering technostress" 18 (18): 28-42, 1999

      29 Clark, K., "Technostressed out? How to cope in the digital age" 121 (121): 30-32, 1996

      30 Wang, K., "Technostress under different organizational environments : An empirical investigation" 24 (24): 3002-3013, 2008

      31 Jena, R. K., "Technostress in ICT enabled collaborative learning environment: An empirical study among Indian academician" 51 : 1116-1123, 2015

      32 Salo, M., "Technostress and social networking services : Explaining users’ concentration, sleep, identity, and social relation problems" 29 (29): 408-435, 2019

      33 Brod, C., "Technostress : The human cost of the computer revolution" 25 (25): 82-, 1984

      34 Ayyagari, R., "Technostress : Technological antecedents and implications" 35 (35): 831-858, 2011

      35 Weil, M. M., "Technostress : Coping with technology@ work@home@ play" J. Wiley 1997

      36 Fornell, C., "Structural equation models with unobservable variables and measurement error : Algebra and statistics" 18 (18): 382-388, 1981

      37 Shors, T. J., "Stressful experience and learning across the lifespan" 57 : 55-85, 2006

      38 Johansson, G., "Stress reactions in computerized administrative work" 5 (5): 159-181, 1984

      39 Jung, I., "Stress in Japanese learners engaged in online collaborative learning in English" 43 (43): 1016-1029, 2012

      40 Fisher, S., "Stress and strategy" Lawrence Eribaum Associates 1986

      41 Bandura, A., "Self-efficacy: The exercise of control" 1997

      42 Bandura, A., "Self-efficacy : Toward a unifying theory of behavioral change" 84 (84): 191-215, 1977

      43 Ellen, P. S., "Resistance to technological innovations : An examination of the role of self-efficacy and performance satisfaction" 19 : 297-307, 1991

      44 Beehr, T. A., "Relationships of stress to individually and organizationally valued states : Higher order needs as a moderator" 61 (61): 41-47, 1976

      45 Zhang, Y., "Relationships among computer self-efficacy, attitudes toward computers, and desirability of learning computing skills" 30 (30): 420-436, 1998

      46 Walton, K. T., "Relationship between technostress dimensions and employee productivity" Walden University 2019

      47 Lazarus, R. S., "Progress on a cognitive-motivational-relational theory of emotion" 46 (46): 819-834, 1991

      48 Edwards, J. R., "Person-environment fit theory" 28 (28): 67-94, 1998

      49 Cooper, C. L., "Organizational stress: A review and critique of theory, research, and applications" SAGE Publications 2001

      50 Brodtrick, O., "Organizational learning and innovation : tools for revitalizing public services" 64 (64): 83-96, 1998

      51 Levitt, B., "Organizational learning" 14 (14): 319-338, 1988

      52 Moore, J. E., "One road to turnover : An examination of work exhaustion in technology professionals" 24 (24): 141-168, 2000

      53 Fu, F. Q., "Motivating salespeople to sell new products : The relative influence of attitudes, subjective norms, and self-efficacy" 74 (74): 61-76, 2010

      54 Wang, X., "Measuring university students’ technostress in technology-enhanced learning : Scale development and validation" 36 (36): 96-112, 2020

      55 DeMaagd, G. R., "Management information systems" 65 (65): 10-71, 1983

      56 Joëls, M., "Learning under stress : How does it work?" 10 (10): 152-158, 2006

      57 Prieto, I. M., "Learning capability and business performance : A nonfinancial and financial assessment" 13 (13): 166-185, 2006

      58 Nelson, D. L., "Individual adjustment to information-driven technologies : A critical review" 14 (14): 79-98, 1990

      59 Nelson, D. L., "Individual adjustment during technological innovation : A research framework" 9 (9): 257-271, 1990

      60 Zhao, X., "Impact of technostress on productivity from the theoretical perspective of appraisal and coping processes" 57 (57): 103265-, 2020

      61 Hoffman, D. L., "Has the internet become indispensable?" 47 (47): 37-42, 2004

      62 Hunter, L. W., "Feeling the heat : Effects of stress, commitment, and job experience on job performance" 50 (50): 953-968, 2007

      63 Rafaeli, A., "Expression of emotion as part of the work role" 12 (12): 23-37, 1987

      64 Dong, Y., "Exploring the structural relationship among teachers’ technostress, technological pedagogical content knowledge (TPACK), computer self-efficacy and school support"

      65 March, J. G., "Exploration and exploitation in organizational learning" 2 (2): 71-87, 1991

      66 Tarafdar, M., "Examining impacts of technostress on the professional salesperson's behavioural performance" 34 (34): 51-69, 2014

      67 Yoon, J., "Employees' self-efficacy and perception of individual learning in teams : The cross-level moderating role of team-learning behavior" 37 (37): 1044-1060, 2016

      68 Fox, M. L., "Effects of stressful job demands and control on physiological and attitudinal outcomes in a hospital setting" 36 (36): 289-318, 1993

      69 Weil, M. M., "Don't let technology enslave you" 78 (78): 56-59, 1999

      70 Podsakoff, N. P., "Differential challenge stressorhindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior : A meta–analysis" 92 (92): 438-454, 2007

      71 Tarafdar, M., "Crossing to the dark side : Examining creators, outcomes, and inhibitors of technostress" 54 (54): 113-120, 2011

      72 Yaverbaum, G. J., "Critical factors in the user environment : An experimental study of users, organizations and tasks" 12 (12): 75-88, 1988

      73 Tiwari, V., "Countering effects of technostress on productivity : Moderating role of proactive personality" 28 (28): 636-651, 2020

      74 Kimble, G. A., "Conditioning and learning" Appleton-Century-Crofts 1961

      75 Compeau, D. R., "Computer self-efficacy : Development of a measure and initial test" 19 (19): 189-211, 1995

      76 LePine, J. A., "Challenge and hindrance stress : Relationships with exhaustion, motivation to learn, and learning performance" 89 (89): 883-891, 2004

      77 McGee, M. K., "Burnout" 569 (569): 34-40, 1996

      78 Schaubroeck, J., "Antecedents and consequences of role stress : A covariance structure analysis" 10 (10): 35-58, 1989

      79 Tarafdar, M., "Analyzing the adoption of enterprise resource planning systems in Indian organizations : A process framework" 6 (6): 21-51, 2003

      80 Gadeyne, N., "All wired, all tired Work related ICT use outside workhours and work to home conflict : The role of integration preference, integration norms and work demands" 107 : 86-99, 2018

      81 Brkich, M., "A global self-report measure of person-job fit" 18 (18): 43-51, 2002

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      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2022-06-07 학술지명변경 한글명 : 생산성논집 -> 생산성연구: 국제융합학술지
      외국어명 : Productivity Review -> Productivity Research: An International Interdisciplinary Journal
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      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2013-12-17 학술지명변경 외국어명 : 미등록 -> Productivity Review KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-05-30 학술지명변경 한글명 : 生産性論集 -> 생산성논집 KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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