Supply chain network and information sharing effects of SMEs’ credit quality on firm performance

The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

Purpose

In this age of digitalization, organizations are generating large data from the organizations' manufacturing processes that are valuable for capturing a competitive edge. Chinese small and medium enterprises (SMEs) can bring organizations radical innovation by investing in innovation projects (i.e. big data use; BDU) using the SMEs' scarce resources. Thus, the authors' research aims to predict Chinese SMEs' radical innovation (RI) through BDU using the theoretical lenses of the resource-based view. Moreover, the authors' study also pursues to realize the undermining mediating process of business strategy alignment (BSA) and the buffering role of information sharing in BDU–RI linkage.

Design/methodology/approach

In total, 297 Chinese SMEs entrepreneurs and managers were recruited from the Yangtze River Economic Belt, China using a survey approach. In Mplus 7.4, the authors tested the proposed hypotheses.

Findings

The sample of 297 shows that BDU is directly and indirectly (via BSA) related to RI. Further, information sharing moderates the linkage between BDU and BSA and BSA and RI. The association between BSA and RI is only significant and stronger when information sharing is high.

Practical implications

This research is beneficial for SME entrepreneurs/managers to enhance the understanding of BDU, eliminate challenges of BSA via BDU and align business strategies to bring RI to Chinese SMEs.

Originality/value

SMEs always search for new ways to enhance SMEs' productivity using scarce resources. This is the first research that advances big data and innovation literature by predicting firm RI through BDU using a resource-based view. Moreover, this study is novel because the study investigates the mediation role of BSA and the moderating role of information sharing in the linkage between BDU and firm RI in Chinese SMEs.

Lean manufacturing and firms’ financial performance: the role of strategic supplier partnership and information sharing

Purpose

The purpose of this paper is to examine the mediating role of strategic supplier partnership and moderating role of information sharing (IS), in the relationship between lean manufacturing and firms’ financial performance (FP).

Design/methodology/approach

Utilizing the contingency approach, this study develops a research model to validate the proposition that a proper integration of supply chain (SC) practices enhances the financial performance of the firm. The study uses data from one hundred and fifty-seven manufacturing firms. The results are generated on structural equation modeling (SEM) using AMOS software.

Findings

The study finds that strategic supplier partnership partially mediates the relationship between lean manufacturing and FP, whereas, empirically, it could not demonstrate that IS significantly moderates the relationship between lean manufacturing and FP.

Practical implications

The paper theoretically develops logic for and empirically shows that strategic supplier partnership is an appropriate practice for mediating the impact of lean manufacturing on FP.

Originality/value

This strategic supply chain integration contributes to theory and demonstrates that SC practices’ correct synchronization and orchestration may realize superior FP. In addition, this research provides a sustainable strategic SC model that creates value and provides a competitive advantage for firms in the long term.

The effects of supply chain risk information processing capability and supply chain finance on supply chain resilience: a moderated and mediated model

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.

Corporate Sustainability and Firm Performance: The Role of Green Innovation Capabilities and Sustainability-Oriented Supplier–Buyer Relationship

This study attempts to examine the impact of corporate sustainability on firm performance by examining the indirect effect of sustainability-oriented supplier partnership and green innovation capabilities of a firm. The data acquired to address the research question is collected from management personnel, officers, and experts in the Ghana manufacturing sector using a list provided by the Association of Ghana Industries. Data acquired are tested for convergent validity and construct reliability and further examine the measurement model. The structural model is examined using partial least square structural equation modeling techniques. The empirical study supports seven (7) out of eight (8) stated hypotheses. Findings indicate that a sustainability-oriented supplier partnership indirectly influences the effect of social sustainability practices on a firm’s performance. In the same view, the outcome revealed that a sustainability-oriented supplier partnership does not positively influence the relationship between environmental, economic sustainability, and firm performance. Green innovation capabilities indirectly influence the effect of social and economic sustainability on firm performance except for environmental sustainability and firm performance. The findings of the study contribute to the literature by providing insights into the indirect effect of supplier–partnership and green innovation capabilities on firm performance, especially in the manufacturing sector.

The synergistic effect of ego-network stability and whole network position: a perspective of transnational coopetition network

Purpose

The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.

Design/methodology/approach

The authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.

Findings

The authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.

Practical implications

In the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.

Originality/value

These results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.

Supply chain network and financing performance of small and medium enterprises in China: a survey and quasi-replication using fuzzy-set qualitative comparative analysis

Purpose

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of information sharing and innovation capability.

Design/methodology/approach

Questionnaires were administered to 208 financial managers responsible for supply chain finance in SMEs in China. Data analysis techniques used included multiple regression analysis and fuzzy-set qualitative comparative analysis.

Findings

The authors found that weak ties had a more substantial impact on the financing performance of SMEs than strong ties did. Information sharing and innovation capability played a mediating role between weak and strong ties and the financing performance of SMEs. In addition, information sharing and innovation capability complement each other and jointly influence the financing performance of SMEs.

Practical implications

SMEs are suggested to actively embed themselves in the supply chain network to increase financing opportunities and reduce financing costs. The authors also recommend SMEs to enhance the level of their information sharing in the supply chain network and take advantage of their network ties to access and adopt new technology from other organisations and conduct collaborative innovation with partner institutions.

Originality/value

The paper extends the authors’ understanding of supply chain finance by exploring the intrinsic mechanism of how various constructs (weak ties, strong ties, information sharing and innovation capability) in the supply chain network have an impact on the financing performance of SMEs. In particular, the authors explore the under-researched mediating effect of information sharing and innovation capability on the relationship between network ties and the financing performance of SMEs.

Effects of cloud computing assimilation on supply chain financing risks of SMEs

Purpose

The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness.

Design/methodology/approach

Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses.

Findings

The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks.

Originality/value

To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

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

Purpose

The purpose of this study is to bridge the gap in the literature on supply chain finance (SCF) by exploring the relationship between network capabilities and corporate financial performance (CFP) in financial supply chains (FSCs).

Design/methodology/approach

The authors collect panel data and adopt regression analysis to analyse the joint investment activities among 1359 manufacturing firms and 289 financial service providers in China to explore how network capabilities, both network power and network centrality, improve CFP in the FSCs.

Findings

Under the FSCs environments, network centrality (i.e. eigenvector centrality, closeness centrality and betweenness centrality) raises CFP (ROA, ROE and Tobin's Q) and network power (node degree, clustering coefficient) also improves CFP. However, node strength from the network power stream has a negative effect on Tobin's Q, indicating that when the partner of a firm has an extremely strong influence in FSCs; this weakens the bargaining ability and flexibility of the focal firm, thus reducing its long-term financial performance.

Practical implications

The joint investment activities among supply chain partners and financial service providers help managers understand the advanced financing solutions generated by internal and external network organisations as well as be aware of network capabilities' impact on CFP in FSCs.

Originality/value

This study answers the call for more empirical research on SCF to provide a broader sample to examine financial supply chain management. This is one of the earliest studies to shed light on a new perspective – how network capabilities improve CFP in the FSCs.

How does buyer-seller information sharing affect procurement quality performance? Insight from SMEs in a developing African economy

Purpose

Though extant literature proposes buyer–seller information sharing as a crucial variable for quality improvement, there is a dearth of empirical understanding of how it affects procurement quality performance. The present study aimed at addressing this knowledge gap by using small- and medium-scale enterprises (SMEs) in a developing African economy as an empirical context.

Design/methodology/approach

The research hypotheses are tested on survey data from 138 SMEs in Ghana using structural equation modeling.

Findings

Results show that buyer–seller information sharing is positively related to procurement quality performance and that high levels of buyer–seller information sharing lower procurement quality performance.

Research limitations/implications

Though the study demonstrates that there is a limit to the procurement quality performance benefit of buyer-seller information sharing, it does not empirically analyze the conditions that may relax this limit.

Practical implications

This research highlights both the bright and dark sides associated with buyer-seller information sharing and how they work out to determine procurement quality performance. It shows that SMEs could optimize procurement quality performance when they pursue a moderate level of buyer–seller information sharing.

Originality/value

This research advances the sparse literature on the procurement quality performance construct and its determinants within the context of SMEs. Unlike prior research that focuses on information technology, this study explicitly analyzes the role of information sharing in determining procurement (quality) performance and shows that differing levels of buyer–seller information sharing impact procurement quality performance differently.

Big data use and its outcomes in supply chain context: the roles of information sharing and technological innovation

Purpose

This paper aims to investigate the use of big data (BDU) in predicting technological innovation, supply chain and SMEs' performance and whether technological innovation mediates the association between BDU and firm performance. Additionally, this research also seeks to explore the moderating effect of information sharing in the association between BDU and technological innovation.

Design/methodology/approach

Using survey methods and structural associations in AMOS 24.0., the proposed model was tested on SME managers recruited from the largest economic and manufacturing hub of China, Pearl River Delta.

Findings

The findings suggest that BDU is positively related to technological innovation (product and process) and organizational outcomes (e.g., supply chain and SMEs performance). Technological innovation (i.e., product and process) significantly mediates the association between BDU and organizational outcomes. Moreover, information sharing positively moderates the association between BDU and technological innovations.

Practical implications

This research provides deeper insights into how BDU is useful for SME managers in achieving the firm’s goals. Particularly, SME managers can bring technological innovation into their business processes, overcome the challenges of forecasting, and generate dynamic capabilities for attaining the best SMEs’ performance. Additionally, BDU with information sharing enables SMEs reduce their risk and decrease production costs in their manufacturing process.

Originality/value

Firms always need to adopt new ways to enhance their productivity using available resources. This is the first study that contributes to big data and performance management literature by exploring the moderating and mediation mechanism of information sharing and technological innovation respectively using RBVT. The study and research model enhances our insights on BDU, information sharing, and technological innovation as valuable resources for organizations to improve supply chain performance, which subsequently increases SME productivity. This gap was overlooked by previous researchers in the domain of big data.

Mediating effect of big data analytics on project performance of small and medium enterprises

Purpose

This study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success.

Design/methodology/approach

A sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling.

Findings

The result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector.

Practical implications

This study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing.

Originality/value

For the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.

Strategic issues in supply chain management of Indian SMEs due to globalization: an empirical study

Purpose

In globalized market, organizations of all sizes are having huge opportunities for growth. However, due to various resource constraints, it has become challenging for small and medium enterprises (SMEs) of growing economies to survive in this global competition. Effective supply chain management (SCM) can be a major driving factor for success of Indian SMEs in dynamic world economy. SMEs face many operational challenges while implementing effective SCM. The purpose of this paper is to study different strategic issues for successful implementation of SCM in Indian SMEs.

Design/methodology/approach

A survey has been conducted in Indian SMEs of different sectors. Major constructs of survey instrument are motivations, hindrances, investment priorities, supply chain practices and performance. In total, 1,500 Indian SMEs have been approached for collecting response through survey instrument. 257 complete responses were finalized. Statistical analysis of data acquired from survey is performed by using SPSS software.

Findings

It is observed that managing customers, organization resources, and inventory are main SCM practices. Major investment areas are systems for developing quick response and quality management. Currently, human resource and knowledge management have been found to be less priority areas for SMEs. The major focus of Indian SMEs is on cost and lead time reduction by having effective SCM.

Originality/value

Novelty of this study is that strategic issues for effective SCM in context to Indian SMEs have been analyzed. The findings of the study will help Indian SMEs in doing strategic planning for being competitive in the global market.