Use IT again? Dynamic roles of habit, intention and their interaction on continued system use by individuals in utilitarian, volitional contexts.

This paper employs a longitudinal perspective to examine continued system use (CSU) by individuals in utilitarian, volitional contexts when alternative systems are present . We focus on two key behavioural antecedents of CSU - habit and continuance intention - and theorise how the relationships between CSU and these antecedents evolve over time. In addition, we hypothesise how the interaction effect of habit and intention on CSU evolves temporally. Our theorising differs from extant literature in two important respects: 1) In contrast to the widespread acceptance of the diminishing effect of continuance intention on CSU in the information systems (IS) literature, we hypothesise that in our context, its impact increases with time; and 2) In contrast to the negative moderation effect of habit on the relationship between intention and CSU proposed in the literature, we posit a positive interaction effect. We collect longitudinal survey data on the use of a higher education IS from students in a European university. Our results suggest that the impact of continuance intention on CSU as well as the interaction effect between habit and intention are increasing over time. We further introduce a methodological innovation - the permutation approach to conduct the multi-group analysis with repeated measures - to the literature.

Measuring university students' ability to recognize argument structures and fallacies.

Theory: Argumentation is crucial for all academic disciplines. Nevertheless, a lack of argumentation skills among students is evident. Two core aspects of argumentation are the recognition of argument structures (e.g., backing up claims with premises, according to the Toulmin model) and the recognition of fallacies. As both aspects may be related to content knowledge, students studying different subjects might exhibit different argumentation skills depending on whether the content is drawn from their own or from a foreign subject. Therefore, we developed an instrument to measure the recognition of both argument structures and fallacies among the groups of preservice teachers and business economics students in both their respective domains (pedagogy and economics), and a neutral domain (sustainability). For the recognition of fallacies, we distinguished between congruent and incongruent fallacies. In congruent fallacies, the two aspects of argument quality, i.e., deductive validity and inductive strength, provide converging evidence against high argument quality. In incongruent fallacies, these two aspects diverge. Based on dual process theories, we expected to observe differences in the recognition of congruent and incongruent fallacies. Aims: We investigated whether these two abilities are domain-specific and whether the recognition of fallacies depends on the congruence of two aspects of argument quality. Methods: 267 preservice teachers and 56 business economics students participated in the study. For the recognition of argument structures, participants assigned the five statements constituting one argument to the corresponding component according to the Toulmin model. For the recognition of fallacies, we created arguments and incorporated a common fallacy into some of them: formal fallacy, overgeneralization, irrelevance, or circularity. Participants rated whether the argument was cogent or not, which was followed by a brief justification. Results: Domain specificity could not be found for either of both abilities. For the recognition of fallacies, two dimensions were found: a congruent dimension (formal fallacies and overgeneralizations) and an incongruent dimension (irrelevance and circularity). Discussion: The instrument measures the recognition of both argument structures and fallacies in these two groups across domains. The recognition of fallacies differs depending on whether the deductive validity and the inductive strength of the argument are equally indicative of argument quality or not.

Designing a Co-creation System for the Development of Work-process-related Learning Material in Manufacturing.

The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to support employees in the independent design of such situated learning materials. Using an action-design research (ADR) approach, we derived requirements from co-creation concepts and practice by conducting focus group workshops in manufacturing and vocational training schools to develop design principles for a co-creation system that supports employees through the creation process of work-process-related learning material. Consequently, we formulate four design principles for the design of a collaborative learning and qualification system for manufacturing. Using an innovative mixed methods approach, we validate these design principles and design features to demonstrate the success of the developed artifact. The results provide insights regarding the design of a co-creation system to support learners in the co-creation of learning material with the consideration of cognitive load (CL). Our study contributes to research and practice by proposing novel design principles for supporting employees in peer creation processes. Furthermore, our study reveals how co-creation systems can support the collaborative development of learning materials in the work process.

The role of design patterns in the development and legal assessment of lawful technologies.

Novel technologies such as smart personal assistants integrate digital services into everyday life. These services use personal data to offer personalized services. While they are subject to special data protection regulations at the time of development, there are few guidelines describing the transition from legal requirements to implementation. To reduce risks, services depend on external legal assessments. With developers and legal experts often missing either legal or technical knowledge, the challenge lies in bridging this gap. We observe that design patterns support both developers and legal experts, and we present an approach in which design patterns are leveraged to provide twofold value for both developers and legal experts when dealing with novel technologies. We conducted a revelatory case study for smart personal assistants and scaffolded the case interpretation through cognitive fit theory. On the basis of the findings, we develop a theoretical model to explain and predict the twofold value of design patterns to develop and assess lawful technologies.

Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future.

Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.

Determinants of physicians' technology acceptance for e-health in ambulatory care.

BACKGROUND: Germany is introducing a nation-wide telemedicine infrastructure that enables electronic health services. The project is facing massive resistance from German physicians, which has led to a delay of more than five years. Little is known about the actual burdens and drivers for adoption of e-health innovations by physicians. OBJECTIVE: Based on a quantitative study of German physicians who participated in the national testbed for telemedicine, this article extends existing technology acceptance models (TAM) for electronic health (e-health) in ambulatory care settings and elaborates on determinants of importance to physicians in their decision to use e-health applications. METHODS: This study explores the opinions, attitudes, and knowledge of physicians in ambulatory care to find drivers for technology acceptance in terms of information technology (IT) utilization, process and security orientation, standardization, communication, documentation and general working patterns. We identified variables within the TAM constructs used in e-health research that have the strongest evidence to determine the intention to use e-health applications. RESULTS: The partial least squares (PLS) regression model from data of 117 physicians showed that the perceived importance of standardization and the perceived importance of the current IT utilization (p<0.01) were the most significant drivers for accepting electronic health services (EHS) in their practice. Significant influence (p<0.05) was shown for the perceived importance of information security and process orientation as well as the documentation intensity and the e-health-related knowledge. CONCLUSIONS: This study extends work gleaned from technology acceptance studies in healthcare by investigating factors which influence perceived usefulness and perceived ease of use of e-health services. Based on these empirical findings, we derive implications for the design and introduction of e-health services including suggestions for introducing the topic to physicians in ambulatory care and incentive structures for using e-health.

An internet-delivered exercise intervention for workplace health promotion in overweight sedentary employees: a randomized trial.

OBJECTIVE: To evaluate the effect of structured vs. non-structured internet-delivered exercise recommendations on aerobic exercise capacity and cardiovascular risk profile in overweight sedentary employees. METHODS: 140 employees of an automobile company (11% female, median age 48 years (range 25-60), BMI 29.0 kg/m(2) (25.0-34.8)) were randomized in a 3:2 ratio to an intervention group receiving structured exercise schedules or a control group choosing workouts individually via an interactive website. The 12-week intervention took place in Munich, Germany, during summer 2008. Main outcome measure was performance at the lactate anaerobic threshold (P(AT)/kg) during ergometry. RESULTS: 77 participants completed the study. The intervention group (n=50) improved significantly in P(AT)/kg ((mean (SD)) 1.68 (0.31) vs. 1.81 (0.33) W/kg; p=0.002), VO(2)peak (3.21 (0.63) vs. 3.35 (0.74) L/min; p=0.04), and waist circumference (100.5 (7.9) vs. 98.0 (7.8) cm; p=0.001). The control group (n=27) improved significantly in P(AT)/kg (1.59 (0.38) vs. 1.80 (0.49); p<0.001) and waist circumference (101.9 (8.7) vs. 98.3 (8.5) cm; p<0.001), but not in VO(2)peak. No significant between group differences in these outcome measures were noted. CONCLUSION: Structured, internet-delivered exercise recommendations are not superior to internet-delivered non-structured exercise recommendations in a workplace setting. Both lifestyle intervention strategies are, however, limited by high dropout rates.