This paper in the journal "Gruppe. Interaktion. Organisation. (GIO)" presents a study that investigated user experience characteristics as determinants of technology acceptance. Organizations planning to implement new technologies are confronted with the challenge to ensure user acceptance. Barely accepted technologies are used less often, result in lower job satisfaction, and ultimately lead to performance losses. The technology acceptance model (Venkatesh and Bala 2008) incorporates determinants of information technology use. The model's predictors have a strong focus on interindividual user characteristics (such as computer self-efficacy) and the job context (e.g., voluntariness). Yet, what is lacking in the model, are characteristics of the technology itself that can be used as starting points to design better technologies. To bridge this gap, we introduce the User Experience Technology Acceptance Model, and provide a first test of this model. In our online survey (N = 281), we investigated how technological determinants, more specifically user experience characteristics, affected technology acceptance. Except for two paths of our proposed model, all path coefficients were significant with small to large effect sizes (f 2 = 0.02-0.66). User experience predictors resulted in 60.6% of explained variance in perceived ease of use, 38.2% of explained variance in perceived usefulness, and 25.8% of explained variance in behavioral intention. Our results provide mostly support for our extension of the technology acceptance model. The technology-inherent characteristics output quality, perspicuity, dependability, and novelty were significant predictors of technology acceptance. We discuss theoretical and practical implications with the focus on technology designers, change managers, and users.

Although there is much research on the relationships of corporate social responsibility and employee-related outcomes, a systematic and quantitative integration of research findings is needed to substantiate and broaden our knowledge. A meta-analysis allows the comparison of the relations of different types of CSR on several different outcomes, for example to learn what type of CSR is most important to employees. From a theoretical perspective, social identity theory is the most prominent theoretical approach in CSR research, so we aim to investigate identification as a mediator of the relationship between CSR and employee-related outcomes in a meta-analytical mediation model. This meta-analysis synthesizes research findings on the relationship between employees' perception of CSR (people, planet, and profit) and employee-related outcomes (identification, engagement, organizational attractiveness, turnover (intentions), OCB, commitment, and job satisfaction), thereby distinguishing attitudes and behavior. A total of 143 studies (N = 89,396) were included in the meta-analysis which was conducted according to the methods by Schmidt and Hunter (except of the meta-analytical structural equation model). Mean effect sizes for the relationship between CSR and employee-related attitudes and behaviors were medium-sized to large. For attitudes, the relationships were stronger than for behavior. For specific types of CSR, average effect sizes were large. Identification mediated the relation between CSR and commitment, job satisfaction, and OCB, respectively. Based on our results, we give recommendations concerning the design of CSR initiatives in a way that benefits employees.

Corporate social responsibility (CSR) is widely established by companies that aim to contribute to society and minimize their negative impact on the environment. In CSR research, employees’ reactions to CSR have extensively been researched. Social identity theory is often used as a theoretical background to explain the relationship between CSR and employee-related outcomes, but until now, a sound empirical examination is lacking, and causality remains unclear. CSR can unfold its effect mainly because of three theoretically important aspects of CSR initiatives, which increase identification, i.e., distinctiveness, prestige, and salience of the out-group. This study examines how far identification can explain the effect of CSR on employees. In an experimental vignette study (N = 136 employees), CSR was manipulated in three degrees (positive, neutral, and negative) to examine its effects on job satisfaction, organizational commitment, and organizational citizenship behavior (OCB). In the vignettes, information on distinctiveness, prestige, and salience of the out-group were presented. Regression analyses showed that CSR significantly predicted commitment and job satisfaction, but not OCB. We found mediation effects of CSR on commitment, job satisfaction, and OCB through identification, but the effect of CSR on identification explained only little variance which indicates additional underlying mechanisms. The applicability of social identity theory for explaining CSR is discussed. Moreover, we discuss further explaining mechanisms.

Um den Innovationen durch die Digitalisierung, also der Einführung intelligenter und vernetzter Systeme, zu begegnen, werden Unternehmen viele Anpassungen vornehmen müssen. Die professionelle Begleitung dieser Veränderung kann innerhalb eines Change Management Prozesses erfolgen. Im Folgenden werden dazu aus den Lehren der bisherigen Computerisierung des Arbeitslebens und entlang der zeitlichen Strukturierung eines Einführungsprojekts ein Durchführungsmodell des Change Managements abgeleitet und vorgestellt. Des Weiteren wird auf Erfolgsfaktoren des Change Managements im Kontext der Digitalisie-Dieses Kapitel ist im Rahmen des Projekts "itsOWL-Arbeit 40" entstanden, das vom BMBF (Förderkennzeichen 02PQ3091) gefördert wird.

Abstract. Digitization and connectivity are hot topics for nearly every company today; numerous new technologies offer diverse options. In this project, a specific technology − smart glasses − was implemented in a manufacturing company. The implementation process was innovative, as the employees’ perspective was taken into account from the beginning, rather than solely designing the technological aspects and involving the users after decisions were taken. Employees involved with the new technology were surveyed to take into account the employees’ expectations and fears regarding work design characteristics. This allowed us to customize features of the smart glasses, adapt the work organization, and inform employees about unclear points concerning the implementation process. Moreover, the competencies required for future work were analyzed using a comprehensive work analysis method. We report the results of two quantitative studies and summarize the lessons learned from this project, which can serve as a guideline for other companies.