Do network capabilities improve corporate financial performance? Evidence from financial supply chains

Wang, Liukai; Yan, Ji; Chen, Xiaohong; Xu, Qifa

doi:10.1108/ijopm-07-2020-0484

Cited by 18 publications

(16 citation statements)

References 60 publications

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“…(2018) found that a moderate scope of control creates higher supply network performance. Focusing on financial supply chain networks, Wang et al . (2021) found that a focal firm's network centrality increases its financial performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Developing an NK model of the supply network, Giannoccaro et al (2018) found that a moderate scope of control creates higher supply network performance. Focusing on financial supply chain networks, Wang et al (2021) found that a focal firm's network centrality increases its financial performance. Studying supply chain disruption caused by 2011 Tohoku earthquake, Son et al (2021) found that affected companies have lower indegree and outdegree centralities (i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

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Deriving efficiency from the major customer network: the role of network connectedness and centeredness

Kao

Chen

2023

IJOPM

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PurposePrior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the influence of indirect ties (both upstream and downstream) on a focal firm's operational performance. In this study, the authors analyze how a focal firm's upstream and downstream connectedness and network location affect its productive efficiency.Design/methodology/approachUtilizing Compustat segment files, the authors constructed large-scale major customer networks covering the period 2007–2013. The authors applied a fixed-effect panel stochastic frontier model to conduct estimation. Moreover, the authors applied an endogenous panel stochastic frontier model to ensure the robustness of the main analysis.FindingsThe authors found that a focal firm's upstream and downstream connectedness both have a positive influence on a firm's productive efficiency, whereas a focal firm's centeredness in the major customer network has a negative influence on productive efficiency. Moreover, it was found that centeredness lessens the positive influences of upstream and downstream connectedness on productive efficiency. The post hoc analysis further confirmed that a focal firm's indirect ties, both upstream and downstream, positively influence a focal firm's productive efficiency.Originality/valueThis study contributes to the literature by evaluating the relative effectiveness of a focal firm's direct and indirect major customer ties, both upstream and downstream. More importantly, this study suggests potential exploitation–exploration trade-offs (i.e. productive efficiency vs. innovation) triggered by a firm's network location.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Deriving efficiency from the major customer network: the role of network connectedness and centeredness

Kao

Chen

2023

IJOPM

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“…Research findings revealed that SCC plays a mediator role in the relation between SCI and SCP (Morash, 2001; Mandal, 2017; Wang et al , 2021). This finding coincides with Morash (2001), who proposed that when SCI and SCC increase, SCC effectively meets the strategic objectives of the enterprise and improves SCP.…”

Section: Managerial Implicationsmentioning

confidence: 99%

“…The SCI acquired belongs to collaboration and cooperation are featured as a valued supply chain resource (Irfan and Wang, 2019; Dobrucalı, 2020; Ataseven et al , 2020). This study proposes a conceptual model that valuable resource of SSI (resource input) is transferred into SCC and build SCP by integrated capability and spread to other units of the business-to-business network cooperation through DI as a mediation role (resource output) (Mandal, 2017; Wang et al , 2021). The supply chain management thereby focuses on the specific role of DI with the influence on SCC and SCP (Rajaguru and Matanda, 2019; Irfan and Wang, 2019; Han and Huo, 2020; Ganbold et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

Supply chain integration, capability and performance – a business-to-business network cooperation

Liao

Chen

2021

JBIM

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Purpose Supply chain integration (SCI) is a critical issue in the study of supply chain management in terms of working with partners on business networks to complete tasks, enhance capability and increase performance in a collaborative supply chain process. Thus, this study aims to investigate the influence of SCI and supply chain capability (SCC) on supply chain performance (SCP) which has a positive effect according to the degree of integration (DI) in a supply chain management process. Furthermore, the DI has a direct or indirect impact on how SCI affects SCP. Design/methodology/approach Through a questionnaire-survey, 454 valid responses were collected. This study investigates the relationships between SCI, SCC, SCP and the DI in the Taiwan elevator by using a structured equations model. The DI is considered as a variable for the effect of a moderated mediation in the research model. Findings It was found that SCI, directly and indirectly, affected the SCP in a positive way. In addition, the research model is a partial mediation model and that SCC plays a mediator role and DI also existing a moderated mediating effect in the research model. The indirect effect of SCI on SCP through SCC is stronger at higher levels of DI than at lower levels of DI. Originality/value This is the first study that suggests and empirically tests the moderated mediating impacts of the integration degree on the relationships between SCI, capability and performance with suppliers of the elevator manufacturing supply chain as the business-to-business network cooperation example in Taiwan.

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“…Inspired by Piotroski (2000) and Wang et al. (2021a, b), we try to use listed companies to symbolise the industry in a certain city as a whole because they are the major participants in the city, such that we can use the market value of these listed firms as indicators to forecast the performance of the smart city industry. Asgharian et al.…”

Section: Introductionmentioning

confidence: 99%

Mixed-frequency data-driven forecasting the important economies' performance in a smart city: a novel RUMIDAS-SVR model

Wang

Zhang

Wang

et al. 2022

IMDS

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PurposeThe purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.Design/methodology/approachThis study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a novel RUMIDAS-SVR model. The RUMIDAS-SVR model was estimated using a quadratic programming problem. The authors then use the novel RUMIDAS-SVR model to forecast the development performance of all high-tech listed companies, an important sector of the economy reflecting the potential and dynamism of urban economic development in Shanghai using the mixed-frequency consumer price index (CPI) producer price index (PPI), and consumer confidence index (CCI) as predictors.FindingsThe empirical results show that the established RUMIDAS-SVR is superior to the competing models with regard to mean absolute error (MAE) and root-mean-squared error (RMSE) and multi-source macroeconomic predictors contribute to the development performance forecast of important economies.Practical implicationsSmart city policy makers should create a favourable macroeconomic environment, such as controlling inflation or stabilising prices for companies within the city, and companies within the important city economic sectors should take initiative to shoulder their responsibility to support the construction of the smart city.Originality/valueThis study contributes to smart city monitoring by proposing and developing a new model, RUMIDAS-SVR, to help the construction of smart cities. It also empirically provides strategic insights for smart city stakeholders.

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Do network capabilities improve corporate financial performance? Evidence from financial supply chains

Cited by 18 publications

References 60 publications

Deriving efficiency from the major customer network: the role of network connectedness and centeredness

Deriving efficiency from the major customer network: the role of network connectedness and centeredness

Supply chain integration, capability and performance – a business-to-business network cooperation

Mixed-frequency data-driven forecasting the important economies' performance in a smart city: a novel RUMIDAS-SVR model

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