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Article

Arif Hartono and Abdur Rafik

This study aims to examine open innovation that consists a wide range of external knowledge search activities, such external search breadth and depth, external R&D…

Abstract

Purpose

This study aims to examine open innovation that consists a wide range of external knowledge search activities, such external search breadth and depth, external R&D, cooperation and acquisition activities, as a response to different innovation barriers faced by Indonesian firms.

Design/methodology/approach

Data are derived from Indonesia innovation survey. Exploratory factor analysis is used to identify and combine innovation barriers variables. Ordered logistic estimation is used to measure the impact of innovation barriers on firm openness decision. Logistic regression is used to measure the impact of innovation barriers on firm openness indicators such as external R&D, cooperation and acquisition as the variables are binary. Finally, Tobit regression is used to measure the impact of firm openness decision on innovation performance.

Findings

The main findings indicate that different barriers to innovation lead to different firms’ openness decisions, and different decisions on openness have differentiated influence on innovation performance.

Originality/value

This study contributes to the innovation barrier literature by empirically testing whether experiencing barriers to innovation is associated with a broader external knowledge search activity. Previous studies tend to link innovation barriers with a narrow activity as indicated by external knowledge searching widely and deeply.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

Keywords

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Article

Arif Hartono and Arif Singapurwoko

The purpose of this paper is to investigate the innovation value chain (IVC) that encompasses knowledge sourcing, transformation and exploitation activities among…

Abstract

Purpose

The purpose of this paper is to investigate the innovation value chain (IVC) that encompasses knowledge sourcing, transformation and exploitation activities among Indonesian manufacturing firms by using data from the Indonesia Innovation Survey.

Design/methodology/approach

A simple approach of single equation Probit model, Logit regression and Tobit regression are used in the first, second and third stages of IVC consecutively.

Findings

This study finds the existence of a synergistic relationship between internal and external sources of knowledge as well as among external sources of knowledge. In terms of the second link of the IVC, internal R&D plays an important role that positively influences knowledge transformation into all types of innovation and innovation success. External knowledge that has a similar pattern in shaping innovation mainly comes from market and open sources. Scientific institutions tend to contribute to innovation negatively, and few positive impacts on process innovation are observed from government R&D and non-profit R&D institutions. Informal knowledge is more likely to influence technological than non-technological innovation.

Research limitations/implications

Finally, the limitations of this study need to be acknowledged. Issues related to firms’ sectors have not been discussed in this study, and as a result, sectors’ effects on the three links of IVC cannot be detected. This study is a cross-sectional in nature, as a result, the dynamic of Indonesian manufacturing firms’ IVC is missing. Hence, future studies may address this limitation by conducting a longitudinal study.

Originality/value

This study is different from the previous IVC studies owing to the following reasons. Firstly, in this study, a broader source of knowledge is tested. Secondly, the wider innovation (technological and non-technological innovation) is also assessed.

Details

Journal of Asia Business Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1558-7894

Keywords

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Article

Guilherme Luz Tortorella, Ricardo Giglio and Jorge Limon-Romero

The purpose of this paper aims at investigating which lean supply chain management (LSCM) practices efficiently improve the supply chain performance.

Abstract

Purpose

The purpose of this paper aims at investigating which lean supply chain management (LSCM) practices efficiently improve the supply chain performance.

Design/methodology/approach

To achieve that, a cross-sectional survey was carried out with 113 manufacturing companies undergoing a lean implementation. The proposed method combines complementary methods of multivariate data analysis in order to determine which bundles of LSCM practices more efficiently entail improvements on supply chain performance.

Findings

The findings justify why some LSCM initiatives may find larger barriers than others, compromising their success due to misguided implementation efforts according to the desired performance improvement.

Originality/value

The empirical examination on the efficiency of LSCM practices with regards to a certain set of performance indicators provides guidelines with respect to LSCM implementation depending on which performance indicators are envisioned for improvement.

Details

Journal of Manufacturing Technology Management, vol. 29 no. 5
Type: Research Article
ISSN: 1741-038X

Keywords

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Article

Satie Ledoux Takeda-Berger, Guilherme Luz Tortorella, Carlos Manuel Taboada Rodriguez, Enzo Morosini Frazzon, Tamie Takeda Yokoyama and Marco Aurélio de Oliveira

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case…

Abstract

Purpose

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case study approach was conducted to obtain values for the intensity of the relationship between LSCM practices and barriers to mitigate or even anticipate difficulties in its implementation.

Design/methodology/approach

The case study in a company in southern Brazil that is in lean implementation is used for conducting this research. The methodology was structured in three steps, namely, classification of the main barriers through risk analysis, selection of LSCM practices appropriate to the company context and ranking and prioritization of the main practices of LSCM related to the barriers to lean implementation.

Findings

As a result, with the combination of two approaches, failure mode and effect analysis (FMEA) and analytical hierarchical process (AHP), it was possible to obtain values for the intensity of the relationship between LSCM practices and barriers. From the 12 barriers, 5 reached a high-risk degree that can be mitigated, and among the 18 practices found, 7 have the potential to be implemented.

Originality/value

This research allows direct efforts to continuously improve the supply chain to mitigate or even anticipate difficulties in its implementation. The proposed methodology, combining FMEA and AHP is easy to apply and understand, allowing managers and professionals to replicate it in the context of their supply chain and verify results similar and comparable to those obtained here.

Details

International Journal of Lean Six Sigma, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-4166

Keywords

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