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Article
Publication date: 30 October 2023

Qiang Lu, Yu Jiang and Yu Wang

This study investigates the impact of supply chain governance (SCG, which includes relational governance and contractual governance) on supply chain resilience (SCR) using the…

Abstract

Purpose

This study investigates the impact of supply chain governance (SCG, which includes relational governance and contractual governance) on supply chain resilience (SCR) using the information processing theory. Moreover, the study also examines the mediating role of information processing capability and the moderating role of digital technology (DT) deployment.

Design/methodology/approach

A total of 288 questionnaires were collected from the Chinese manufacturing industry, and hierarchical regression was used to empirically test the proposed model.

Findings

This study reveals that SCG positively impacts SCR. Moreover, information processing capability plays a mediating role between SCG and SCR. Furthermore, the breadth of DT deployment positively moderates the effect of relational governance on information processing capability, and the depth of DT deployment positively moderates the effects of both relational governance and contractual governance on information processing capability.

Originality/value

This study offers a novel perspective that helps to understand the importance of the supply chain-wide information acquired by SCG in respect of improving SCR. Furthermore, this article extends the application of information processing theory by providing empirical evidence of the mediating role of information processing capability and elucidating the moderating role of DT deployment.

Details

Industrial Management & Data Systems, vol. 124 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 2 May 2023

Qiang Lu, Yu Jiang and Yu Wang

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and…

Abstract

Purpose

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

Design/methodology/approach

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

Findings

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

Originality/value

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 10 August 2012

Casey G. Cegielski, L. Allison Jones‐Farmer, Yun Wu and Benjamin T. Hazen

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect…

12647

Abstract

Purpose

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.

Design/methodology/approach

The paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the authors employ interviews to gather additional qualitative data, which they examine via use of content analysis in order to provide additional insight into the tenability of the proposed model.

Findings

The quantitative analysis suggests that significant two‐way interactions exist between each independent variable and the moderating variable; each of these interactions is significantly related to intention to adopt cloud computing. The qualitative results support the assertion that information processing requirements and information processing capability affect intention to adopt cloud computing. These findings support the relationships addressed in the hypothesized model and suggest that the decision to adopt cloud computing is based upon complex circumstances.

Research limitations/implications

This research is limited by the use of single key informants for both the quantitative and qualitative portions of the study. Nonetheless, this study enhances understanding of electronic supply chain management systems, and specifically cloud computing, through the application of organizational information processing theory. The authors’ mixed‐methods approach allowed them to draw more substantive conclusions; the findings provide a theoretical and empirical foundation for future research in this area, and also suggest the use of additional theoretical perspectives.

Practical implications

This study provides insight that can help supply chain managers to better understand how requirements, when coupled with capabilities, may influence the decision to adopt cloud computing as an enabler of supply chain management systems.

Originality/value

As an emerging technology, cloud computing is changing the form and function of information technology infrastructures. This study enhances the understanding of how this technology may diffuse within the supply chain.

Details

The International Journal of Logistics Management, vol. 23 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

Content available
Article
Publication date: 23 January 2024

Gökcay Balci and Syed Imran Ali

This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing

Abstract

Purpose

This study views Net-Zero as a dynamic capability for decarbonising supply chains (SCs). This study aims to investigate the relationship between three information processing-related capabilities (supply chain visibility [SCV], supply chain integration [SCI] and big data analytics [BDA]) as its antecedents and SC performance as its competitive advantage outcome.

Design/methodology/approach

The authors conceptualise a research model grounded in the literature based on dynamic capabilities and information processing views. The study uses a structural equation modelling technique to test the hypotheses’ relationship using the survey data from 311 industrial enterprises.

Findings

The results show that SCI and BDA positively and directly influence the Net-Zero capability (NZC). No significant direct impact is found between SCV and NZC. BDA fully mediates SCV and partially mediates SCI in their relationship with NZC. The results also confirm that NZC positively impacts SC performance (SCP).

Originality/value

This study contributes to operations management and SC literature by extending the knowledge about Net-Zero SCs through an empirical investigation. In particular, the study suggests BDA is essential to enhance NZC as SCV alone does not significantly contribute. The study also documents the benefit of NZC on SCP, which can encourage more volunteer actions in the industry.

Details

Supply Chain Management: An International Journal, vol. 29 no. 2
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 16 February 2022

Yaqin Yuan and Wei Li

This study aims to investigate the impact of supply chain risk (SCR) information processing capabilities (e.g. SCR information sharing and SCR information analysis) and supply…

1713

Abstract

Purpose

This study aims to investigate the impact of supply chain risk (SCR) information processing capabilities (e.g. SCR information sharing and SCR information analysis) and supply chain finance (SCF) on supply chain resilience, as well as the moderating effect of environmental uncertainty in the relationship between SCF and supply chain resilience.

Design/methodology/approach

This paper proposes a theoretical model grounded on the information processing theory. Data collected from 216 Chinese firms are used to test the theoretical model by employing structural equation modelling.

Findings

The findings reveal that SCR information processing capabilities have a significant impact on both SCF and supply chain resilience. SCF plays a partial mediating role in the relationship between SCR information processing capabilities and supply chain resilience. In addition, environmental uncertainty moderates the relationship between SCF and supply chain resilience.

Originality/value

First, this paper enriches the knowledge of how information processing capability affects SCF and supply chain resilience as the study considers the more granular SCR information rather than general information that has been discussed in previous studies. Second, this is one of the first papers to establish the relationship between SCF and supply chain resilience in emerging economies. Next, the paper extends the theoretical framework of the antecedents and consequences of SCF. Moreover, the study further facilitates the understanding of the role of the external environment in SCR and SCF management.

Details

Journal of Enterprise Information Management, vol. 35 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 18 January 2018

Suning Zhu, Jiahe Song, Benjamin T. Hazen, Kang Lee and Casey Cegielski

The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such…

7579

Abstract

Purpose

The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency.

Design/methodology/approach

Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression.

Findings

The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT.

Research limitations/implications

This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements.

Practical implications

The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities.

Originality/value

This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 1
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 15 February 2024

Aamir Rashid, Rizwana Rasheed, Abdul Hafaz Ngah, Mahawattage Dona Ranmali Pradeepa Jayaratne, Samar Rahi and Muhammad Nawaz Tunio

Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as…

Abstract

Purpose

Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.

Design/methodology/approach

This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.

Findings

This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.

Research limitations/implications

This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.

Originality/value

The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

Keywords

Article
Publication date: 11 June 2018

Colin C.J. Cheng and Dennis Krumwiede

Drawing on complementarity theory, the purpose of this study is to posit that social media use enhances the effect of supplier involvement on new product development (NPD…

2203

Abstract

Purpose

Drawing on complementarity theory, the purpose of this study is to posit that social media use enhances the effect of supplier involvement on new product development (NPD) performance, while two key firm capabilities further enhance the moderating effect of social media use: market and technological knowledge-processing capabilities.

Design/methodology/approach

To test the hypotheses, the authors used a longitudinal survey of 367 firms, from seven major manufacturing industries: information technology (22.1 per cent), automotive industry (19.6 per cent), chemicals (18.2 per cent), textiles (13.3 per cent), machinery (12.5 per cent), energy (10.1 per cent) and others (4.1 per cent).

Findings

The results support the expectation that social media use and two firm capabilities (market and technological knowledge-processing capabilities) enhance the effect of supplier involvement on NPD performance in terms of product innovativeness, market performance and financial performance. Interestingly, post-hoc analyses indicate that supplier involvement has an inverted U-shaped relationship with product innovativeness. In addition, social media use not only strengthens the positive effect of, but also alleviates the negative effect of, supplier involvement in product innovativeness.

Research limitations/implications

The findings of this study provide new evidence that supply chain members’ use of social media better enables them to enhance their innovation performance with supplier involvement.

Practical implications

This study provides practical direction to help manufacturing managers enhance innovation performance outcomes of supplier involvement.

Originality/value

This study makes an original contribution to the supply chain literature by empirically demonstrating the key enablers that increase the efficacy of supplier involvement.

Details

Supply Chain Management: An International Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 30 August 2022

Yang Liu, Wei Fang, Taiwen Feng and Na Gao

Based on organizational information processing theory, this research explores how big data analytics capability (BDAC) contributes to green supply chain integration (GSCI) and the…

Abstract

Purpose

Based on organizational information processing theory, this research explores how big data analytics capability (BDAC) contributes to green supply chain integration (GSCI) and the contingency role that data-driven decision culture plays.

Design/methodology/approach

Using the two-wave survey data collected from 317 Chinese manufacturing firms, the authors validate the hypotheses.

Findings

The results show that big data managerial capability has positive impacts on three dimensions of GSCI, while big data technical capability has positive impacts on green internal and customer integration. Moreover, green internal integration mediates the impacts of big data technical capability and managerial capability on green supplier and customer integration. Finally, data-driven decision culture alleviates the positive impacts of big data technical and managerial capability on green internal integration.

Practical implications

The findings suggest that firms can leverage big data technical and managerial capability to enhance information processing capability for achieving a higher degree of GSCI. Further, the critical role of data-driven decision culture in affecting the link between BDAC and GSCI should not be overlooked.

Originality/value

This research contributes to literature on green supply chain management by revealing the role of BDAC in improving GSCI.

Details

Industrial Management & Data Systems, vol. 122 no. 11
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 7 July 2022

Manal Munir, Muhammad Shakeel Sadiq Jajja and Kamran Ali Chatha

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers…

1993

Abstract

Purpose

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

Design/methodology/approach

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Findings

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

Research limitations/implications

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

Originality/value

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

Details

International Journal of Operations & Production Management, vol. 42 no. 10
Type: Research Article
ISSN: 0144-3577

Keywords

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