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The literature includes several studies that define different critical success factors (CSF) which have to be considered to support the implementation of technology-enhanced learning (TEL) approaches. An analysis of such studies revealed that (1) regional differences seem to determine the CSF for TEL approaches, (2) certain CSF are relevant for TEL approaches in general, and (3) professionals in higher education determine which influential factors they consider when implementing TEL approaches. Thus, the question arises: in general, which influential factors do professionals in Austrian and German institutions of higher education actually consider when implementing TEL approaches?

The study is a quantitative research approach based on survey data.

The results show that certain influential factors seem to be generally important, such as the factors of respecting learning success or motivation. However, the outcome of the study also indicated that different moderating variables like experiences and personal relevance affect the professionals’ choices.

The originality and value are in the approach to identify generally important influential factors for the implementation of TEL approaches in Austrian and German institutions of higher education.

The extant new service development (NSD) literature tends to assume that the key practices for NSD identified in one context apply for all services, and has failed to sufficiently consider differences in NSD between service types. The purpose of this paper is to explore the nature of NSD across different service types.

An extensive, cross-sectoral survey was conducted in seven countries. Data from 1,333 NSD projects were analyzed to empirically derive a service typology and examine if and how different types of services vary in terms of NSD resources, practices, methods, and results.

Based on six service characteristics, the study identifies four service types: routine-intensive, technology-intensive, contact-intensive, and knowledge-intensive services. The study also identifies specific NSD resources, practices, methods, and results that are prevalent across the service typology. The evidence indicates that the use of advanced practices and methods differs dramatically between service types.

The paper enables practitioners to expand their current understanding on NSD by providing insights into the variability of NSD across service types. The results suggest that either service-type-specific models or a configurable model for NSD should be developed.

This study provides one of the first empirically derived service typologies for NSD. The study demonstrates that NSD resources, practices, methods, and results differ across service types, thereby challenging the “one size fits all” assumption evident in current NSD research.

This paper aims to empirically explore the impact of absorptive capacity (AC) on explorative and exploitative innovation in business cluster settings, and the environment's moderating role on these relationships.

Using a sample of Central European companies, the paper applies multivariate data analysis techniques to test the effect of AC on innovation performance and potential moderators, respectively.

The empirical evidence indicates that AC impacts both explorative and exploitative innovation, and that the strength of the impact depends on the business clusters' level of dynamism and competitiveness. Environmental dynamism and competitiveness positively moderate the effect of AC on explorative innovation, and negatively moderate the effect of AC on exploitative innovation.

Several research limitations apply. First, only one interview per firm was conducted on a self‐reporting basis. Second, the survey's focus was on SMEs. Third, questionnaire translations and differing interviewer behaviour may bias the results.

The findings suggest that firms in business clusters must develop AC to gain the fruits of agglomeration effects. Furthermore, attention should be paid to the cluster's environmental conditions, since dynamism and competition play a significant role for innovation.

Although the importance of AC has often been highlighted, much more remains to be understood about its role in business cluster settings. This issue is addressed in this work by providing systematic, empirical evidence on how AC affects innovation performance at the firm level, and on how this relationship depends on the business cluster's environmental characteristics.

The purpose of this paper is to present the evaluation results of a novel performance measurement framework, which has been designed for the particular needs of small- and medium-sized enterprises (SMEs). Prior research indicated that performance measurement is not much engaged in SMEs. The proposed framework aims to address this by creating bottom-up measurement systems based on service delivery processes. The paper presents the framework as well as its tools and gives insights into both the evaluation and its results.

The framework and its tools have been evaluated in a first iteration of prototype implementation according to design science principles. Methodological triangulation was applied engaging participant observation, questionnaires, and formative evaluation. In the course of the evaluation the framework was assessed from a quality, user, and bird’s eye perspective.

The evaluation results show that the application of the Technology Acceptance Model and goal setting theory did contribute to develop a performance measurement system (PMS) that is characterized by usefulness and ease of use. Deficiencies could be noted with regard to renowned quality criteria for PMS, especially concerning balance. First lessons learned are outlined.

The main contribution is the theory-driven development of the performance measurement framework and its corresponding tools. The application of this approach resulted in accepted tools and improvements of the motivational power of performance goals. This is important to overcome the current gap between research results and practical application of such frameworks and tools.