1,464 research outputs found

    What and Why of Technostress: Technology Antecedents and Implications

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    The Bureau of Labor Statistics (2002) reports that, on average, individuals worked seven hours per week from home in addition to regular work hours. This is made possible by advances in information and communication technologies (ICTs). While the increasing workload is not unusual, it has been related to stress, including the relatively new phenomenon of stress induced by technologies (technostress). Academic literature, popular press and anecdotal evidence suggest that ICTs are responsible for increased stress levels in individuals. However, it is not very clear as to how or why ICTs create stress. Prior research on technostress has been largely descriptive. As ICTs become ubiquitous, their stressful impact can be felt at all levels of an organization. Stress related health costs are increasing dramatically and there is evidence of decreased productivity in stressed individuals (Chilton et al., 2005; Cooper et al., 2001; Jex, 1998). So, organizations have incentives to better understand stressful situations at workplace. Based on the literature from management information systems, psychology, organizational behavior, and occupational stress, a model of technostress is developed to address the question of \u27how and why information and communication technologies enable stress in individuals\u27. Person-Environment fit model (Edwards, 1996) is used as a theoretical lens to explain technostress. The research model proposes that certain technology characteristics exacerbate stressors identified in occupational stress literature leading to the manifestation of stress, referred to as strain. Specifically, technology characteristics - usability (usefulness, complexity, and reliability), intrusive (presenteeism, anonymity), and dynamic (pace of change) are proposed to be related to stressors (work overload, role ambiguity, invasion of privacy, work-home conflict, and job insecurity). Survey design methodology is used to test the proposed research model. Field data for 692 working professionals was obtained from a market research firm (Zoomerang®). In general, the results from structural equation modeling supported the hypotheses from the model. The results suggest that technostress is prevalent (and a significant predictor of overall job strain). Specifically, work overload and role ambiguity are found to be the two most dominant stressors, whereas intrusive technology characteristics are found to be the dominant predictors of stressors. The results from this study have implications for both research and practice. It opens up new avenues for research by showing that ICTs are a source of stress - thereby addressing calls to understand the stressful impacts of ICTs (Nelson, 1990; Weber, 2004). To our knowledge, it is the first empirical study to address the phenomenon of technostress that is theoretically grounded in stress research. The implications of present research to other research streams such as resistance to technologies, value of technology investments are also highlighted. Based on research findings, this research proposes certain recommendations that can influence managerial action. Foremost among these, it brings attention to presence of technostress in organizations and also provides a framework which can be used to assess the extent to which technostress is prevalent

    Technostress: how does it affect the productivity and life of an individual? Results of an observational study

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    Objectives: Technostress is an emergent phenomenon related to the pervasive use of technology and is associated with the increased computerisation and digitalisation seen over recent decades. This crosssectional observational study aims to investigate the impact that stress from the use of technologies (i.e. technostress) has on the productivity and life of an individual. Study design: Cross-sectional study. Methods: Data were collected using a previously proposed and validated questionnaire. The questionnaire was translated into Italian and transformed into an online format with a Google Docs form. The questionnaire was then associated with a link and QR code (also available in paper format) and disseminated manually and through the use of e-mail and social networks, such as Facebook and Twitter. Results: The study sample included 313 individuals, 54.6% of whom were women. The mean age of the sample participants was 34.7 years. The dependent variables were technstressors (i.e. techno-overload, techno-invasion, techno-complexity, techno-insecurity and techno-uncertainty), role stressors (i.e. role overload and role conflict) and productivity. In the multivariate analysis, techno-overload was significantly associated with female gender (b ¼ 0.128; P ¼ 0.018) and unemployment (b ¼ 0.303; P < 0.001); techno-invasion was significantly associated with female gender (b ¼ 0.098; P ¼ 0.081) and degree-level education (b ¼ 0.149; P ¼ 0.008); techno-complexity was significantly associated with female gender (b ¼ 0.107; P ¼ 0.057) and being married (b ¼ 0.113; P ¼ 0.046); techno-uncertainty was significantly associated with unemployment (b ¼ 0.337; P < 0.001); role overload was significantly associated with female gender (b ¼ 0.160; P ¼ 0.014) and productivity was significantly associated with degree-level education (b ¼ 0.125; P ¼ 0.057). Conclusions: This observational study evaluated the phenomenon of both work-related and noneworkrelated technostress of 313 individuals aged between 16 and 65 years. The present study investigated the impact of five techno-stressors, two role stressors and productivity. The results indicate that different techno-stressors are significantly associated with female gender, degree-level education and unemployment. Further research in this field is required to better understand and clarify the epid

    Technostress:negative effect on performance and possible mitigations

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    We investigate the effect of conditions that create technostress, on technology-enabled innovation, technology-enabled performance and overall performance. We further look at the role of technology self-efficacy, organizational mechanisms that inhibit technostress and technology competence as possible mitigations to the effects of technostress creators. Our findings show a negative association between technostress creators and performance. We find that, while traditional effort-based mechanisms such as building technology competence reduce the impact of technostress creators on technology-enabled innovation and performance, more empowering mechanisms such as developing technology self-efficacy and information systems (IS) literacy enhancement and involvement in IS initiatives are required to counter the decrease in overall performance because of technostress creators. Noting that the professional sales context offers increasingly high expectations for technology-enabled performance in an inherently interpersonal-oriented and relationship-oriented environment with regard to overall performance, and high failure rates for IS acceptance/use, the study uses survey data collected from 237 institutional sales professionals

    Mitigation Strategies of Technostress on Supply Chain Management

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    Logistics managers work to create practices that reduce technostress, which is associated with diminished productivity in supply chain management. The purpose of this multiple case study was to explore the mitigation strategies that logistics managers at distribution centers used to reduce technostress with their employees in the Los Angeles County, California area. The conceptual framework included in this study was the sociotechnical systems theory. Semistructured interviews were conducted with 6 logistics managers from large distribution centers who implemented mitigation strategies that demonstrably reduced technostress with their employees. Public documents and physical artifacts reviewed in this study included productivity assessment tools, information and communication technology system training materials, technostress mitigation instruments, and information from technological devices. Data were analyzed through a process of pattern matching, cross-case synthesis, and systematic text condensation. The findings included 6 themes: reliance on internal information technology experts; hiring temporary experts; maintaining communication and training; using time management skills and organizing priorities; identification and understanding of employee differences; and implementing well-being, fitness, and health programs. These findings could contribute to positive social change by providing logistics managers with strategies to reduce technostress, which could lead to improved employee well-being, better work conditions, and increased productivity for greater company profitability that could produce a more thriving and prosperous community

    SECURITY-RELATED STRESS – A NEGLECTED CONSTRUCT IN INFORMATION SYSTEMS STRESS LITERATURE

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    Means of information security, such as security policies or security education, training, and awareness programs, are suggested to enhance employees’ information security behavior. We posit that at the same time, exactly those security measures may have a negative effect, if employees perceive them, for instance, as difficult to understand, time-consuming, or an invasion of their privacy. However, focusing on pure technostress, information systems (IS) research so far has neglected stress induced by means of information security, although, there is first insight on the relevance of security-related stress for IS management. Therefore, in this research-in-progress, we employ the person-environment (PE) fit model to build on as well as expand the existing IS stress literature. We thereby develop a first comprehensive framework of security-related stress, which considers non-technological aspects of security-related stress of employees’ work, personal, and social environment. In doing so, we propose a multidimensional second-order construct and conceptualize how security-related stress affects employees’ productivity directly and indirectly by promoting their perceived level of technostress. The results of our study should help IS management to anticipate and consider the downfalls of information security requirements when formulating companies’ information security measurements, and thus limit the “dark side” of information security

    Examining the Influence of Job Satisfaction on Individual Innovation and Its Components: Considering the Moderating Role of Technostress

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    Background: Employee innovation is a crucial aspect of organizations in the current era. Therefore, studying the factors influencing individual innovation is vital and unavoidable. Undoubtedly, job satisfaction is a significant variable in management sciences. Nowadays, all organizations are interconnected with technology. Objective: This research explores the relationship between job satisfaction and individual innovation, including its components, and the moderating role of technostress. Research Method: This study, in terms of purpose, is applied, and in terms of data collection method, it is a descriptive survey. Data collection tools included the Technostress Inventory by Tarafdar and colleagues (2007), Janssen's Individual Innovation Questionnaire (2000), and the Job Satisfaction Survey (JSS) by Spector (1994). The validity and reliability of these questionnaires were confirmed. The sample size for this study was 215, and data analysis was performed using SPSS and SMART-PLS software. Findings: Job satisfaction has a significant and positive relationship with individual innovation, idea generation, idea promotion, and idea implementation. Technostress moderates the relationship between job satisfaction and individual innovation, as well as idea generation and idea promotion. However, technostress does not play a moderating role in the relationship between job satisfaction and idea implementation. Conclusion: Based on the obtained results, organizations should take necessary measures to increase job satisfaction and reduce technostress among their employees.Comment: 13 pages, 2 figures, 4 table

    The Role of Technostress on Educators' Work Performance at Universities in the Special Capital Region of Jakarta

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    The COVID-19 pandemic forced the education system to adapt a new teaching system from offline to online. However, the ability of lecturers is often unable to keep up with rapid technological developments and the lack of resources provided by institutions, causes lecturers to feel stressed during the teaching and learning process. This study aims to determine the effect of technostress on lecturer performance using the Person-Organization Fit theory approach. The results showed that at the organizational level, the discrepancy between abilities and demands (AD-O) (B= -.39; p.01) had a significant negative and positive effect on lecturer needs with supplies (NS-O) (B=. 24;p.05) with performance. At the individual level, the mismatch between needs and supply (NS-T) (B=-.51; p.01), the absence of social support from colleagues (PPF) (B=-.32; p.01) had an effect significant negative. The findings of this study indicate that both the organizational level and peer support (AD-O and PPF) as well as the individual level (NS-T) play an important role in predicting a decrease in lecturer performance, while the mismatch between ability demands at the individual level has no effect on performance. The implications of this research will be discussed further in the discussion.

    The Interaction Effect of Technostress and Non-Technological Stress on Employees’ Performance

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    At a fast pace, firms are introducing new technologies in accordance with employees suffering. Employees continuously adapt to new information technologies, functionalities, and work flows, as well as spend more time and effort to renew their technological skills. Here, suffering refers to technostress, and this has been studied extensively in IS research. Employees struggle with work stress, and it does not just stem from the use of IT. Work stress also comes from other non-technological demands such as time pressure and management expectations for productivity. In line with Job Demand-Resources (JD-R) theory, this study explores the interaction effect of technostress and non-technological stress on employee performance

    Factors Influencing Employee’s Well-Being and Job Performance: The Perspective of State-Owned Enterprise Employee

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    State-Owned Enterprises (SOEs) play a crucial role in ensuring stability and control in Indonesia's economy, especially before and after the COVID-19 pandemic. The pandemic COVID-19 has accelerated the digitization of public and private sector activities in Indonesia and other countries. To adapt to the accelerated digitization caused by the pandemic, SOEs must continue to grow and develop to achieve their targets and goals. The intended goal of this study is to inquire into the impact of technostress, perceived organizational support (POS), total reward systems (TRS), and work-life balance (WLB) on job performance, as mediated by employee well-being (study of SOEs employee). This research employs a quantitative approach to investigate the direct and indirect impacts of the dependent variable through the utilization of the Structural Equation Modelling (SEM) technique. The study focuses on a sample of 263 respondents who are employees of State-Owned Enterprises (SOEs). This research highlights the role of perceived organizational support as a key driver of job performance mediated by employee well-being. The findings emphasize the significance of effectively engaging all generations, particularly Generation Y and Generation Z, within SOEs to strengthen job performance and accomplish organizational success. Furthermore, the study uncovers that employee well-being acts as a full mediator in constructing the connection between the variables under consideration and job performance. This finding emphasizes the importance for companies to continuously maintain perceived organizational support, ensuring that employees feel their well-being is being taken care of and their contributions are valued, especially for the younger generations (Generation Y and Z) who are the successors within the company
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