Technology and Innovation Management Indicators and Assessment Based on Government Performance

Marinković, Sanja; Rakičević, Jovana; Jaksic, Maja Levi

doi:10.7595/management.fon.2016.0001

Cited by 5 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are many general types of innovation, including those identified by Dey (2012) as external: product, service, business model, process, organizational, brand and communication innovation. Ezzi and Jarboui (2016) explored the influence of innovation on the financial and social performance of organizations, while Shaffer et al (2016) attempted to identify the kind of influence that innovation may have on organizational performance; on the other hand, Marinković et al (2016) investigated whether innovation can be an assessment tool for government performance, while Kamasak et al (2016) examined the relationship between innovation and performance in general.…”

Section: Introductionmentioning

confidence: 99%

The influence of open/closed innovation on employees’ performance

Alawamleh

Ismail

Aladwan

et al. 2018

IJOA

View full text Add to dashboard Cite

Purpose The purpose of this paper is to examine critically the different influences of open/closed innovation on employees’ performance. Design/methodology/approach The paper takes into account the different influence of open and closed innovation on the performance of employees. Some previous literature was reviewed and the quantitative method used a structured questionnaire to collect primary data from participants. Findings The results indicated that open innovation was more influential on the performance of employees than closed innovation. It also appeared that the case study organization uses the open innovation approach in the investments department to attract more clients and investments and thus increase its benefits. Practical implications The paper presents a critical account of differences in the influence on employees’ performance between open and closed innovation; it also takes into account the pros and cons of both aspects and their influence on the overall performance of the organization, putting into perspective the recommendations for the best approach to guarantee a good orientation within the internal environment of the organization. Finally, it helps in understanding the best approach to attract talent and creativity to the organization. Originality/value It is expected that the current research will offer guidance to organizations in Jordan to draw up plans for effective management of innovative approaches both internally and externally. It highlights the practice of open innovation and its role in attracting talent to the organization, to boost employees’ performance.

show abstract

Section: Introductionmentioning

confidence: 99%

The influence of open/closed innovation on employees’ performance

Alawamleh

Ismail

Aladwan

et al. 2018

IJOA

View full text Add to dashboard Cite

show abstract

How to Measure Triple Helix Performance? A Fresh Approach

Jovanović

Rakičević

Jeremić

et al. 2019

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Towards a Triple Helix based efficiency index of innovation systems

et al. 2022

View full text Add to dashboard Cite

This article presents a novel application of a two-phase Data Envelopment Analysis (DEA) for evaluating the efficiency of innovation systems based on the Triple Helix neo-evolutionary model. The authors identify a niche to measure Triple Helix-based efficiency of innovation systems scrutinizing different methodologies for measuring Triple Helix performance and indicating different perspectives on policy implications. The paper presents a new Triple Helix-based index that engages a comprehensive dataset and helps provide useful feedback to policymakers. It is based on a set of 19 indicators collected from the official reports of 34 OECD countries and applied in a two-phase DEA model: the indicators are aggregated into pillars according to the Assurance Region Global and DEA super-efficiency model; pillar scores are aggregated according to the Benefit-of-the-Doubt based DEA model. The results provide a rank of 34 countries outlining strengths and weaknesses of each observed innovation system. The research implies a variable set of weights to be a major advantage of DEA allowing less developed countries to excel in evaluating innovation systems efficiency. The results of Triple Helix efficiency index measurement presented in this paper help better account for the European Innovation Paradox.

show abstract

Technology and Innovation Management Indicators and Assessment Based on Government Performance

Cited by 5 publications

References 17 publications

The influence of open/closed innovation on employees’ performance

The influence of open/closed innovation on employees’ performance

How to Measure Triple Helix Performance? A Fresh Approach

Towards a Triple Helix based efficiency index of innovation systems

Contact Info

Product

Resources

About