scholarly journals An optimized model for open innovation success in manufacturing SMEs

2021 ◽  
Author(s):  
Amir Hakaki ◽  
Mohsen Shafiei Nikabadi ◽  
Mahnaz Ali Heidarloo
Keyword(s):  
Open Innovation ◽  
Structural Equation ◽  
Success Factors ◽  
Resource Constraints ◽  
Innovation Process ◽  
Research Institutions ◽  
Ant Colony Optimization Algorithm ◽  
Fuzzy Dematel ◽  
Cumulative Impact ◽  
The Impact

Given the fluctuations in markets and the financial and resource constraints of SMEs, innovation is one of the solutions for improving performance, gaining competitive advantage and increasing survival probability for these companies. The paper aims to determine the best ranking of effective factors in open innovation success in manufacturing SMEs. At the first stage, the most important factors investigated using structural equation modelling based on the opinion of 275 experts. Subsequently, the impact level of each factor on the others calculated by fuzzy DEMATEL among 12 specialists’ viewpoints. In the end, optimized ranking of studied factors obtained by Ant Colony Optimization algorithm. As a result, economic factors, suppliers, competitors, partners, firm’s strategy, firm’s structure, reward system, employees, IT support, organizational learning, universities, research institutions, and ecological issues hold the first to the thirteenth rank with the highest cumulative impact on open innovation success. Developing relations with universities and research institutions for improving innovation process is recommended to manufacturing SMEs. In addition, these companies should coordinate firm’s strategy as one of the most important open innovation success factors with partners to gain competitive advantages against competitors.

scholarly journals A Critical Review of Open Innovation in SMEs: Implementation, Success Factors and Challenges

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Eristian Wibisono
Keyword(s):  
Developing Countries ◽  
Open Innovation ◽  
Success Factors ◽  
External Environment ◽  
Innovation Process ◽  
Network Access ◽  
Implementation Success ◽  
Technology Entrepreneurship ◽  
Process Stage ◽  
Main Factor

<p><strong><em>Abstract</em></strong></p><p><em>This literature review explores the Open Innovation of SME companies, their application, success factors, impact, and challenges. The theoretical framework is built starting from the definition, a critical pillar, and Open Innovation in SME companies. The main factor in the Open Innovation process stage is finding innovative ideas and establishing network access with the external environment. Balanced, systematic, and thorough collaboration is the key to this process. Although European scholars have done it quite a lot, the study of literature on Open Innovation in SMEs still could continue to be developed. Several research results were found in studies conducted in developing countries such as China, Taiwan, and Korea, distinguishing them from similar studies in Europe.</em></p><p><strong><em>Keywords:</em></strong><em> <em>innovation; SMEs; technology; entrepreneurship; open innovation</em></em></p>

scholarly journals Service Open Innovation; Design Elements for the Food and Beverage Service Business

2018 ◽  
Vol 4 (4) ◽  
pp. 53 ◽  
Author(s):  
Ki Nam ◽  
Bo Kim ◽  
Bruce Carnie
Keyword(s):  
Open Innovation ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Innovation Process ◽  
Equation Modeling ◽  
Business Outcomes ◽  
Design Elements ◽  
Service Business ◽  
Business Goals ◽  
Food And Beverage

Despite the well-recognised contribution of design to business, practitioners still find it challenging to manage design assets. Given that one cannot manage a business without measuring these assets, researchers and practitioners deem that the lack of a practical measuring tool for design is the cause of this unfavorable situation. Hence, establishing relevant criteria for measuring design effectiveness is essential for developing the tools. However, criteria must anticipate key business outcomes in order to demonstrate effectiveness, and to propose actionable items. Whether the outcome is sales figures or customer satisfaction survey results, the criteria should clearly link with business goals. Also, the technologies in the Fourth Industrial Revolution facilitate the quantification of customer behaviour related to business performance, such as lingering time on the website for shopping. In this context, statistical understanding of design elements is critical for determining appropriate strategies in the era of digitalised data. By utilising a Service Blueprint, this study also proposes a novel approach to tackle current challenges regarding the open innovation process. Since appropriately-developed design elements are the prerequisite of successful measurement, this study extracts the elements through in-depth interviews, and examines them quantitatively with existing business theory. As a result, design elements for the food and beverage service business are confirmed by using the Structural Equation Modeling.

scholarly journals Innovation in the Hungarian food economy  

2017 ◽  
Vol 63 (No. 1) ◽  
pp. 43-51 ◽  
Author(s):  
Toth Jozsef ◽  
Ferto Imre
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Innovation Process ◽  
Innovation Performance ◽  
Medium Size ◽  
Food Sector ◽  
Agricultural Producers ◽  
Food Economy ◽  
The Impact ◽  
The Empirical Analysis

The paper investigates the innovation process in the Hungarian agri-food sector using the concept of open innovation. The empirical analysis is based on the data from a 2011 survey of more than 200 small and medium size agricultural producers, food processors and retailers. There is determined the impact of open innovation and a company’s absorptive capacity on the innovation performance employing two stage approaches. First, a cluster analysis is applied to categorise companies based on their open innovation absorptive capacity, firm and managerial characteristics. Second, using semi-non parametric probit models, there is found that open innovation positively influences the innovation performance for the product and market innovation. Estimations indicate that the absorptive capacity has positive impacts on the technological- and organisational innovation and on innovation propensity. The results suggest that there exists a considerable heterogeneity both within and between the supply chain segments regarding to the innovation performance.  

scholarly journals Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle

2021 ◽  
Vol 13 (16) ◽  
pp. 8887
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Ahmed Farouk Kineber ◽  
Nicholas Chileshe ◽  
David John Edwards
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Extensive Literature ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Performance Improvements ◽  
Critical Success ◽  
Building Information ◽  
The Impact ◽  
Project Lifecycle

The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

scholarly journals Open innovation and network dynamics. An analysis of openness of co-patenting collaborations in Florence, Italy

2020 ◽  
Vol 30 (4) ◽  
pp. 379-396
Author(s):  
Francesco Capone ◽  
Niccolò Innocenti
Keyword(s):  
Open Innovation ◽  
Negative Binomial ◽  
Innovation Process ◽  
Negative Binomial Regression ◽  
Positive Influence ◽  
Network Ties ◽  
Relational Dynamics ◽  
Content Type ◽  
Innovation Capacity ◽  
The Impact

Purpose The purpose of this paper is to investigate the relational dynamics for innovation and, in particular, the impact of the openness of innovation process on the innovation capacity of organisations in restricted geographical contexts. Design/methodology/approach Through a negative binomial regression, the work analyses how the characteristics of the openness of the organisation’s innovation process in the period 2004-2010 influence the firm’s patent productivity in the following period (2011-2016). Findings The breadth of the open innovation (OI) process, here measured by the number of external network ties that an organisation realises for the realisation of its patents, has a positive effect on patent productivity. The depth of the openness, that is, the intensity of external network ties, has an equally positive influence on the innovative performance. However, after a tipping point, the patent productivity tends to decrease, underlining the costs and problems of OI practices. Research limitations/implications This study considers only patent collaborations in the city of Florence. Therefore, it focusses on codified innovations and on a single territorial case study. Practical implications The results underline the importance of the adoption of OI practices in restricted geographical contexts (such as cities, clusters or industrial districts) but with several limitations. Only collaborating more with others does not foster the organisation’s invention productivity, but different types of evidence are found here. Originality/value An original database has been created, containing all the information on patents realised in the area of Florence from 2004 until 2016, and a social networks analysis was applied to identify the local innovation networks.

scholarly journals Implementing Open Innovation in Research and Technology Organisations: Approaches and Impact

2019 ◽  
Vol 5 (4) ◽  
pp. 91 ◽  
Author(s):  
Ramon Uribe-Echeberria ◽  
Juan Ignacio Igartua ◽  
Rafael Lizarralde
Keyword(s):  
Open Innovation ◽  
Structural Equation ◽  
Innovation System ◽  
Knowledge Flows ◽  
Active Management ◽  
Strong Impact ◽  
Knowledge Stocks ◽  
Knowledge Stocks And Flows ◽  
Research Organisations ◽  
The Impact

Research and development organisations (RTOs) are at the heart of innovation systems. They help to connect innovation system actors to foster industrial innovation. Due to this intermediary role, they act as paradigmatic open innovation (OI) actors. In this context, RTOs need to balance their knowledge stocks and flows, while assuring their own innovation capabilities and positively impacting the innovation system they influence. Thus, RTOs need to develop collaboration approaches that support their own performance while increasing their capabilities and not threatening their competitive advantages derived from their knowledge stock. In this study we extend the OI research to research organisations analysing their OI approach and the impact on its own performance, developing a new framework for OI study in RTOs using a partial least squares structural equation modelling (PLS-SEM) approach. The research, based on a sample of Spanish RTOs, arises two substantive conclusions. First, an increased number of collaboration partners (collaboration breadth) and the use of a variety of OI practices have a strong impact on RTOs’ overall performance (scientific, transference, and economic results). Second, RTOs need to foster their aperture and promote an active management to benefit from collaborating partners, whereas managers should pay special attention to questions related to the protection and management of intellectual property when promoting the use of different OI practices. Both results also emphasise the importance of managing firms’ knowledge flows in the implementation of OI in RTOs.

scholarly journals The Innovation Process in Emerging Economies

2015 ◽  
Vol 16 (1) ◽  
pp. 5-17 ◽  
Author(s):  
David Lingelbach ◽  
Ven Sriram ◽  
Tigineh Mersha ◽  
Kojo Saffu
Keyword(s):  
South Africa ◽  
Longitudinal Data ◽  
Emerging Economies ◽  
Real World ◽  
Financial Services ◽  
Resource Constraints ◽  
Innovation Process ◽  
Process Approach ◽  
Real World Data ◽  
The Impact

The authors investigate the impact of two contrasting logics, effectuation and causation, on the innovation process in emerging economies (EEs). Effectuation theory, which emphasizes responses to uncertainty, is integrated with the innovation process literature, which emphasizes resource constraints. In particular, the authors show that in EEs the flexibility dimension of effectuation is underemphasized, while its pre-commitment dimension is overemphasized. The combination of effectuation and causation mechanisms is influenced by the industry context, as well as by the type, degree and timing of resource constraints. Employing longitudinal data from six innovation process cases across one industry (financial services) and four EEs (Botswana, Ethiopia, Ghana and South Africa), the authors employ a process approach using real-world data to support their propositions.

Open innovation antecedents and its consequences on commercialization performance in small and medium-sized enterprises

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Javad Asgari ◽  
Amir Zakery ◽  
Mir Saman Pishvaee
Keyword(s):  
Open Innovation ◽  
Structural Equation ◽  
Science Park ◽  
Content Type ◽  
Factors Affecting ◽  
Resource Search ◽  
Parametric Statistics ◽  
Cooperative Innovation ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to investigate the impact of the factors affecting open innovation (OI) intensity, in terms of three components of cooperative innovation, resource search and external research and development (R&D), as well as the impact of OI intensity on commercialization performance in small and medium-sized enterprises. Design/methodology/approach The data obtained from the distributed questionnaire among small and medium-sized enterprises (SMEs) from Isfahan Science and Technology Town (ISTT) in Iran, was analyzed using inferential and parametric statistics to examine the research hypotheses. In this analysis, structural equation tests were used to confirm or reject the research hypotheses using Smart PLS software. Findings The results indicate that all three OI components influence commercialization in technology-based firms of ISTT, while the most important one is cooperative innovation. Among the factors affecting OI components, innovative incentives are the most effective one that increases both external R&D and cooperative innovation. Facilitators and limitations of open innovation are also affecting OI intensity, with lower priorities. Practical implications Science park managers and policymakers should lay the ground for enhancing the cooperation intensity among firms. Cooperation intensity is the most effective open innovation component to improve commercialization performance. Originality/value Open innovation antecedents and its consequence on commercialization performance have been investigated for the same time in SMEs of a science park.

E-Waste Recycling System in Closed Loop Supply Chain

2018 ◽  
Vol 7 (2) ◽  
pp. 55-80 ◽  
Author(s):  
Mohsen Shafiei Nikabadi ◽  
Amin Hajihoseinali
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Closed Loop ◽  
Electronic Waste ◽  
Waste Recycling ◽  
Fuzzy Dematel ◽  
Closed Loop Supply Chain ◽  
Materials Used ◽  
Electronic Waste Recycling ◽  
The Impact

This article describes how technology growth and the lifecycle of devices and also other tendencies for buying new devices all cause a huge mass of electronic waste. Due to materials used in production which are dangerous or valuable metals, the environmental aspects and natural resources make electronic waste management and electronic waste recycling a pressing subject. This article studies electronic waste recycling and its importance in research of closed loop supply chain management and the impact of electronic waste recycling. Using structural equation modelling to study the factors, data was collected from 120 expert questionnaires and analyzed by SPSS and SmartPLS. Causal relationships among the studied factors and efficacy coefficients of each factor were identified by the fuzzy DEMATEL technique. Finally, the dynamic model was plotted by VENSIM.

scholarly journals The Competence of Project Team Members and Success Factors with Open Innovation

2020 ◽  
Vol 6 (3) ◽  
pp. 51 ◽  
Author(s):  
Minjeong Oh ◽  
Sungyong Choi
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Project Success ◽  
Empirical Support ◽  
Business Environment ◽  
Project Manager ◽  
Equation Modeling ◽  
Success Factor ◽  
Team Members ◽  
The Impact

The purpose of this paper is to examine the relationship between emotional, managerial, and intellectual competence of team members, which refer to the LDQ (Leadership Development Questionnaire) and impact on project success. (1) Background: Large and complex projects are being conducted in a dynamic business environment. The need for capabilities and managerial aspects of participants of the project for business performance increases. (2) Methods: A questionnaire survey was conducted on 164 project management professionals in various industries from Korea. The structural equation modeling technique was performed to establish the effect of competence of team members on project success factor. (3) Results: The results provided empirical support for the impact of team members’ competencies on project success factor. Moreover, there is no difference in the perception of the impact of team members’ competencies on project success factor, depending on their roles, such as project manager and team member. (4) Results: In this paper, the importance of the competence of team members in accordance with the project manager was presented. The findings of this study suggest the strategic direction of the members at this point when corporate innovation is needed.

Sign in / Sign up

Export Citation Format

Share Document