scholarly journals Integration between radical innovation and incremental innovation to expedite supply chain performance through collaboration and open-innovation: A case study of Indonesian logistic companies

2019 ◽  
pp. 191-202 ◽  
Author(s):  
Erna Erna ◽  
Surachman Surachman ◽  
Sunaryo Sunaryo ◽  
Atim Djajuli
Keyword(s):  
Supply Chain ◽  
Open Innovation ◽  
Radical Innovation ◽  
Incremental Innovation ◽  
Supply Chain Performance

scholarly journals MULTIGROUP ANALYSIS IN SUPPLY CHAIN PERFORMANCE

2020 ◽  
Vol 21 (2) ◽  
pp. 100-113
Author(s):  
Erna Mulyati
Keyword(s):  
Supply Chain ◽  
Performance Testing ◽  
Radical Innovation ◽  
Third Party ◽  
Incremental Innovation ◽  
Supply Chain Performance ◽  
Third Party Logistics ◽  
Private Companies ◽  
Logistics Industry ◽  
The Government

This study aims to examine differences in private and government third-party logistics companies in Indonesia in terms of improving supply chain performance. In this research, supply chain performance testing is influenced by collaboration, radical innovation, and incremental innovation. The sample used is the third-party logistics industry in West Java and DKI Jakarta, totaling 100, which is divided into private third-party logistic companies and government-owned third-party logistics companies. The results showed that there are differences in the effects of collaboration. There is supply chain performance where there are differences in the influence of collaboration and radical innovation on supply chain performance between private companies and government. There is no difference in the influence of collaboration and incremental innovation on supply chain performance between private companies and the government. The findings of this study indicate that radical and incremental innovation acts as a partial mediation on the effect of collaboration on supply chain performance in private and government companies.

Adopting an Open Innovation Program with Supply Chain Management in China: A Case Study

2018 ◽  
Vol 30 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Antonio K. W. Lau ◽  
Leo W. Y. Lee ◽  
Kee-Hung Lai ◽  
Peter K. C. Lee
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Open Innovation ◽  
Chain Management

scholarly journals Measuring radical innovation project success: typical metrics don’t work

2018 ◽  
Vol 39 (4) ◽  
pp. 34-41 ◽  
Author(s):  
Jimmi Normann Kristiansen ◽  
Paavo Ritala
Keyword(s):  
Radical Innovation ◽  
Incremental Innovation ◽  
Content Type ◽  
International Firms ◽  
Innovation Activities ◽  
Innovation Projects ◽  
Innovation Project ◽  
And Performance ◽  
Depth Interviews

Purpose Firms frequently struggle with measuring the performance of their radical innovation activities. Due to the uncertainty and ambiguity involved, key performance indicators (KPIs) used for incremental innovation projects are often not useful in this context. The purpose of this paper is to explore suitable KPIs particularly useful for radical innovation projects. Design/methodology/approach This study first reviews commonly used measures for innovation projects, which is then followed by case-study evidence from three industry-leading international firms. This study includes 13 in-depth interviews with innovation managers and directors in these firms, providing insights on how they measure the progress and performance of radical innovation projects. Findings KPIs used commonly in incremental innovation showed lackluster results in the case firms and were problematic for radical innovation context. A key finding was that radical innovation project performance should be evaluated based on the process rather than on the expected outcome. Concurrently, based on the literature review and the cases, three sets of KPIs with 13 specific KPIs useful for radical innovation projects are proposed. Originality/value The paper addresses a core challenge in using established KPIs in a radical innovation context. The paper gathers and synthesizes a range of measurement points suitable for radical innovation projects and provides specific suggestions for appropriate metrics that innovation managers can use.

A Quality and Partnering-Based Model for Improving Supply Chain Performance

2013 ◽  
Vol 4 (3) ◽  
pp. 1-31 ◽  
Author(s):  
Kanchan Das ◽  
Scott A. Dellana
Keyword(s):  
Supply Chain ◽  
Mixed Integer ◽  
Supply Chain Performance ◽  
High Quality ◽  
Random Data ◽  
Input Quality ◽  
Select Group ◽  
Acceptable Quality ◽  
Operation Parameters

This study proposes a Supplier Quality Affiliation (SQA) approach that is integrated into a mixed integer programming Strategic Supply Chain Management (SSCM) model for overall improvement of the supply chain business process. A pool of acceptable quality and high quality suppliers are affiliated using multi-dimensional quality attributes for the supplier operation parameters in the SQA model. Based on the pre-defined partnering attributes, the SQA model next identifies a select group of high quality suppliers that can be converted into partners. The outcome of the SQA model is then integrated into the SSCM model for ensuring input quality while providing several options for overall business gains of the supply chain members, which include suppliers, manufacturers, and retailers. Applicability of the SQA model is investigated using a real world case study and the SSCM model is illustrated with a numerical example using random data.

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