In this research study we investigate whether and how ERP system characteristics cause its users to experience stress. In order to do so, we analyze a research model explaining enterprise resource planning systems induced stress with an empirical study in two organizations (N=227). The results reveal that usefulness, complexity, reliability, and pace of change are important ERP system characteristics leading to the perception of stressors and exhaustion. Furthermore, our comparative empirical analysis with young and elderly ERP users indicate that the elderly ones perceive ERP characteristics more negatively and are more stressed and exhausted than the younger users.
Despite the wide dissemination and acceptance of teleworking, there are negative effects for employees. Literature shows that these negative effects of telework lead to undesired outcomes for teleworkers such as telework-exhaustion. The present research, however, goes one step further by identifying three significant telework-characteristics and hypothesizing the relationship between telework-characteristics and telework-enabled stressors. By doing so, one can understand the reason why telework-enabled stressors are perceived and identify the source of these stressors, which can then be counteracted to maintain the advantages of teleworking. Therefore, this research investigates the influence of the following telework-characteristics - information undersupply, autonomy, and isolation - on telework-enabled stressors and accordingly on telework-exhaustion and on the intention to continue teleworking. Results of an analysis on 310 teleworkers show that telework-characteristics influence telework-enabled stressors and accordingly increase the extent of telework-exhaustion and decrease the intention to continue teleworking.
The term NeuroIS appears more frequently within the field of information system (IS). NeuroIS describes the idea of applying cognitive neuroscience theories, methods, and tools to obtain physiological responses of the user while using IS. However, before adopting these methods into IS research, a proper assessment is necessary to determine whether the methods used in other disciplines are also applicable to IS research. The present research introduces the method of measuring the electrodermal activity (EDA). Thereby, the physiology and different measurement parameters are described. By identifying the use of EDA within other disciplines, the present research reveals application areas for EDA in six different research streams in IS research and poses further research questions, which might be answer by applying EDA in these areas.
Attitudes are one of the three most-frequently studied independent variables to explain user behavior. However, although psychological literature distinguishes between explicit and implicit attitudes, most of the investigations in the research stream of IS acceptance and usage have a pure focus on explicit attitudes and do not consider implicit attitudes. Explicit and implicit attitudes can be contradictory and both might predict behavioral intention. Therefore, the present research-in-progress focuses on closing the research gap of refraining to differentiate attitudes in explicit and implicit attitudes and hence examining the influence of implicit attitudes on user behavior. Based on the Implicit Association Test (IAT) and surveys, we propose an experimental setting that measures explicit and implicit attitudes to validate the research model. The proposed research might contribute to the research stream of IS acceptance and usage by better predicting behavioral intentions by also considering implicit attitudes. Future results might explain distorted predictions of behavior and reduce the intention behavior gap. Furthermore, the present research-in-progress introduces a suitable method to measure implicit attitudes.
Corporate education in international organizations faces a lot of challenges which are hoped to be addressed by using blended learning concepts. However, the heterogeneity of an international workforce in terms of culture and learning style opposes this objective. Therefore, this research-in-progress paper focuses on cultural and learning style impacts on learning success when using blended learning in organizations. Based on first theoretical ideas of a blended learning success model the impact of culture and learning style on learning outcome is theorized and analyzed using an empirical study conducted with 81 employees of an international organization. The results reveal that national culture has an impact on blended learning success and therefore a cultural sensitive design of blended learning environments is necessary. The results are the basis for further research to develop a blended learning success model including cultural and learning style aspects as it is described in the paper.
This research focuses on burnout as a driver of turnover intention amongst IT professionals. We extend Moore's exhaustion model by including further dimensions of burnout into the model, namely depersonalization and reduced personal accomplishment. The effect of stressors on these dimensions and the original dimension of emotional exhaustion is investigated, as is their influence on turnover intention among IT professional. Results based on a data sample of 154 IT professionals show that not only emotional exhaustion but also depersonalization leads to turnover intention. This outcome cannot be neglected when trying to reduce turnover intention in an organization in order to maintain competitive advantages. Moreover, while the stressors suggested by Moore influence emotional exhaustion, they only slightly explain the dimensions of depersonalization and reduced personal accomplishment. This indicates that these two dimensions of burnout are caused by additional factors, which represents a research gap worth investigating in future research.
Over the last years, the utilization of cloud resources has been steadily rising and an increasing number of enterprises are moving applications to the cloud. A leading trend is the adoption of Platform as a Service to support rapid application deployment. By providing a managed environment, cloud platforms take away a lot of complex configuration effort required to build scalable applications. However, application migrations to and between clouds cost development effort and open up new risks of vendor lock-in. This is problematic because frequent migrations may be necessary in the dynamic and fast changing cloud market. So far, the effort of application migration in PaaS environments and typical issues experienced in this task are hardly understood. To improve this situation, we present a cloud-to-cloud migration of a real-world application to seven representative cloud platforms. In this case study, we analyze the feasibility of the migrations in terms of portability and the effort of the migrations. We present a Docker-based deployment system that provides the ability of isolated and reproducible measurements of deployments to platform vendors, thus enabling the comparison of platforms for a particular application. Using this system, the study identifies key problems during migrations and quantifies these differences by distinctive metrics.
In this study drivers and consequences of frustration, a negative emotion when using information technology (IT), are theorized and empirically evaluated in a social networking services (SNS) usage context. For example, when users are frustrated by using SNS they might stop using these services. As the number of users mainly determines the value of SNS this paper focuses on frustration while using SNS. It is assumed that both technology and social aspects of SNS usage determine whether users feel frustrated. Empirical evidence can be provided that perceived enjoyment, envy, information overload, and social overload are antecedents of the sentiment frustration. It is also argued that frustration while using SNS will lead to dissatisfaction and discontinued usage. Based on the empirical evidence for this cohesion the paper discusses its theoretical contribution in terms of that discontinuous usage behavior is a coping strategy applied by users to minimize the frustration sentiment.