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Article
Publication date: 8 May 2017

Yueqi Wang, Bin Guo and Yanjie Yin

The purpose of this study is to explore organizational factors that act as antecedents of open innovation search. The authors aim to empirically examine whether the extent…

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Abstract

Purpose

The purpose of this study is to explore organizational factors that act as antecedents of open innovation search. The authors aim to empirically examine whether the extent to which the organizational slack is absorbed determines its influence on firms’ openness in innovation search. In addition, the authors also examine the moderating effect of absorptive capacity on the relationship between slack and open innovation search.

Design/methodology/approach

This study adopted secondary data from multiple sources (NBER, Compustat and US census) and then constructed a ten-year balanced panel dataset of 298 manufacturers. The generalized least square method was used to explore the determinants of open innovation search among manufacturing firms.

Findings

The results of this study reveal that the absorption level of organizational slack indeed determines the openness in innovation search. Specifically, absorbed slack negatively affects a firm’s openness in innovation search, whereas unabsorbed slack promotes open innovation search. Additionally, the relationship between absorbed slack and open innovation search will be less negative with the increase of absorptive capacity.

Originality/value

Different from most previous studies that have examined the performance effect of open search among high-tech and large enterprises, this study focuses on the antecedents of open search strategy in both high- and low-tech, large and small firms. The findings reveal that different forms of organizational slack divergently influence a firm’s open search strategy, contributing to the understanding of the relationship between organizational slack and knowledge search behavior in a broader context, as well as the understanding of the moderating effect of absorptive capacity.

Details

Journal of Knowledge Management, vol. 21 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 15 February 2021

Weihua Liu, Shuang Wei, Yanjie Liang, Di Wang and Jingkun Wang

This study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to…

Abstract

Purpose

This study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprises

Design/methodology/approach

A multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.

Findings

First, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.

Originality/value

According to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.

Details

Industrial Management & Data Systems, vol. 121 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 13 August 2020

Weihua Liu, Yanjie Liang, Shuang Wei and Peng Wu

This study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.

Abstract

Purpose

This study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.

Design/methodology/approach

The multi-case study is applied to this paper. Specifically, this study is a combination of exploratory and explanatory case studies.

Findings

The findings are threefold. First, empowerment capability and the information-sharing level are unique factors that affect SLEC's organizational collaboration. Second, greater empowerment capability stimulates the increase of information-sharing level. Third, emerging digital technology, personalized demand and peer competition affect the degree of SLEC's organizational collaboration through an intermediary variable – empowerment capability. Specifically, the emerging digital technology application and peer competition degrees have positive effects on empowerment capability, while the demand personalization degree negatively (positively) affects empowerment capability in the short (long) term.

Originality/value

As an important part of supply chain performance, organizational collaboration is receiving more attention. However, in the smart economy context, no theoretical framework exists for analyzing factors that affect the organizational collaboration degree of SLEC. This study fills this gap.

Details

Industrial Management & Data Systems, vol. 121 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 23 May 2022

Weihua Liu, Yanjie Liang, Ming K. Lim, Shangsong Long and Xiaoran Shi

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

Abstract

Purpose

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

Design/methodology/approach

This paper is a multi-case study that includes a combination of exploratory and explanatory case studies.

Findings

First, the authors find that SSCI is embodied in product development and supply chain empowerment, which represent exploitative innovation and explorative innovation, respectively. Meanwhile, supply chain empowerment has a positive impact on product development. Second, the going global policy affects the transformation of supply chain empowerment to SSCI practices. Third, in terms of exploitative innovation, personalized demand positively affects SSCI through product development. Finally, explorative innovation, including emerging technology application and supply chain ecologicalization, has a positive effect on supply chain empowerment and thereby affects SSCI.

Originality/value

Supply chain innovation in the context of a smart economy has gained great popularity. This study sheds light on the influencing factors and mechanisms of SSCI from the exploitative and explorative aspects of innovations.

Details

The International Journal of Logistics Management, vol. 33 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 17 August 2012

Jun Zhang, Zuqiang Liu, Yanjie Liu and Yong Liu

The purpose of this paper is to apply grey statistical model to identify and classify live fault rupture.

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Abstract

Purpose

The purpose of this paper is to apply grey statistical model to identify and classify live fault rupture.

Design/methodology/approach

Based on grey statistical mode, this paper uses eight faults' ripping speed observation data from 1997 to 2001, according to the grey statistics method for analysis, and recognizes active fault rupture situation. Using the conventional methods, namely taking all faults monitoring stations' average dislocation rate to analysis and make judgment, the average results are obtained.

Findings

The results show that the results are closer to reality because the grey statistical evaluation method has considered dislocation rate and other discrete factors.

Practical implications

The method exposed in the paper can be used to monitor and recognize live fault rupture in earthquake prediction.

Originality/value

According to the fault dislocation rate, this paper advances active fault rupture identification and classification method based on grey statistical model.

Open Access
Article
Publication date: 8 March 2022

Weihua Liu, Yanjie Liang, Xiaoran Shi, Peiyuan Gao and Li Zhou

The review aims to facilitate a broader understanding of platform opening and cooperation and points out potential research directions for scholars.

Abstract

Purpose

The review aims to facilitate a broader understanding of platform opening and cooperation and points out potential research directions for scholars.

Design/methodology/approach

This study searches Web of Science (WOS) database for relevant literature published between 2010 and 2021 and selects 86 papers for this review. The selected literature is categorized according to three dimensions: the strategic choice of platform opening and cooperation (before opening), the construction of an open platform (during opening) and the impact of platform opening and cooperation (after opening). Through comparative analysis, the authors identify research gaps and propose four future research agendas.

Findings

The study finds that the current studies are fragmented, and a research system with a theoretical foundation has not yet formed. In addition, with the development of platform operations, new topics such as platform ecosystems and open platform governance have emerged. In short, there is an urgent need for scholars to conduct exploratory research. To this end, the study proposes four future research agendas: strengthen basic research on platform opening and cooperation, deeply explore the dynamic evolution and cutting-edge models of platform opening and cooperation, analyze potential crises and impacts of platform openness and strengthen research on open platform governance.

Originality/value

This is the first systematic review on platform opening and cooperation. Through categorizing literature into three dimensions, this article clearly shows the research status and provides future research avenues.

Details

Modern Supply Chain Research and Applications, vol. 4 no. 2
Type: Research Article
ISSN: 2631-3871

Keywords

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