Purpose-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. This study explores the nature of NSD across different service types. Design/methodology/approach-An extensive, cross-sectoral survey was conducted in seven countries. Data from 1333 NSD projects was 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. Findings-Based on six service characteristics, the study identifies four service types: routineintensive, 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. Practical implications-The article 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. Originality/value-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.

PurposeThis 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.Design/methodology/approachUsing 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.FindingsThe 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.Research limitations/implicationsSeveral 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.Practical implicationsThe 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.Originality/valueAlthough 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.

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Purpose 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? Design/methodology/approach The study is a quantitative research approach based on survey data. Findings 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. Originality/value 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.