The development and validity of new service development scale: using a balanced scorecard approach

Author(s):  
Guoping Wu ◽  
Guofeng Gai ◽  
Ying Wang
2021 ◽  
Vol 27 (6) ◽  
pp. 1481-1508
Author(s):  
Jalil Heidary Dahooie ◽  
Navid Mohammadi ◽  
Ieva Meidutė-Kavaliauskienė ◽  
Arūnė Binkytė-Vėlienė

Today, the innovative activities of companies in new service development (NSD) have an undeniable contribution to the economic development of countries. Given the recent advances in the healthcare industry, the issue of NSD and performance management of firms operating in this industry has received special attention of researchers and decision makers. A review of previous research shows that on the one hand there is no agreement among experts on NSD performance measurement criteria and on the other hand there has been no systematic framework that can measure and manage firm performance in this area. The proposed framework should allow for interaction between different decision makers, considering multiple and sometimes conflicting criteria. In this regard, this paper aimed to provide a framework to assess the NSD performance in healthcare industry using multiple-criteria-decision-making methods. The proposed model consists of 17 different criteria that have been identified and finalized based on previous studies as well as experts’ opinions. Then, the indicators are classified with the help of experts in the form of a balanced scorecard model and presented as an initial model. Due to internal relationships between criteria, this model was evaluated using interpretive structural modelling and modelled at 5 different levels. Then, the analytic network process approach was applied to determine criteria weights. Finally, new service development performance in Moheb hospital was evaluated through the framework proposed here.


2018 ◽  
Vol 32 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Per Myhren ◽  
Lars Witell ◽  
Anders Gustafsson ◽  
Heiko Gebauer

Purpose Open service innovation is an emergent new service development practice, where knowledge on how to organize development work is scarce. The purpose of the present research is to identify and describe relevant archetypes of open service innovation. The study views an archetype as an organizing template that includes the competence of participants, organizing co-creation among participants and ties between participants. In particular, the study’s interest lies in how open service innovation archetypes are used for incremental and radical service innovation. Design/methodology/approach For the research, a nested case study was performed, in which an industrial firm with nine open service innovation groups was identified. Forty-five interviews were conducted with participants. For each case, first a within-case analysis was performed, and how to perform open service innovation in practice was described. Then, a cross-case analysis identifying similarities and differences between the open service innovation groups was performed. On the basis of the cross-case analysis, three archetypes for open service innovation were identified. Findings The nested case study identified three archetypes for open service innovation: internal group development, satellite team development and rocket team development. This study shows that different archetypes are used for incremental and radical service innovation and that a firm can have multiple open service innovation groups using different archetypes. Practical implications This study provides suggestions on how firms can organize for open service innovation. The identified archetypes can guide managers to set up, develop or be part of open service innovation groups. Originality/value This paper uses open service innovation as a mid-range theory to extend existing research on new service development in networks or service ecosystems. In particular, it shows how open service innovation can be organized to develop both incremental and radical service innovations.


2019 ◽  
Author(s):  
Mia Partlow ◽  
Karen Ciccone ◽  
Margaret Peak

Presentation given at TRLN Annual Meeting, Durham, North Carolina, July 1, 2019. The Hunt Library Dataspace was launched in August 2018 to provide students with access to the tools and support they need to develop critical data skills and perform data intensive tasks. It is outfitted with specialized computing hardware and software and staffed by graduate student Data Science Consultants who provide drop-in support for programming, data analysis, statistical analysis, visualization, and other data-related topics.Prior to launching the Dataspace the Libraries’ Director of Planning and Research worked with the Data & Visualization Services department to develop a plan for assessing the new Dataspace services. The process began with identifying relevant goals based on NC State University and the NC State University Libraries’ strategic priorities. Next we identified measures that would assess our success in relation to those goals. This talk describes the assessment planning process, the measures and methods employed, outcomes, and how this information will be used to improve our services and inform new service development.


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