How does information integration enhance SMEs’ credit quality: the mediating role of supply chain capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaqin Yuan ◽  
Linlin Liu ◽  
Liu Liu
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Theoretical Model ◽  
Information Sharing ◽  
Information Integration ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Content Type ◽  
Credit Quality

PurposeThis paper aims to investigate the relationship between information integration, supply chain capabilities and credit quality of small and middle enterprises (SMEs) in supply chain finance (SCF).Design/methodology/approachGrounded in the resource-based view (RBV) and signaling theory, this study proposes a theoretical model. Then, structural equation modeling and interview analysis are employed to test the theoretical model.FindingsThe results show that both two aspects of information integration, namely, information technology and information sharing, have positive effects on the SMEs’ credit quality in SCF, and these effects are mediated by supply chain capabilities.Originality/valueFirst, the paper contributes to SCF literature by simultaneously examining the role of two dimensions of information integration (information technology and information sharing) in enhancing SMEs’ credit quality. Second, this paper enriches the existing theoretical research on SCF by integrating the SMEs perspective and SCF service provider perspective. Moreover, this paper explores the indirect effects of information integration on SMEs’ credit quality by incorporating supply chain capabilities as a mediating factor.

Achieving automotive suppliers’ mass customization through modularity

2019 ◽  
Vol 31 (2) ◽  
pp. 306-329 ◽  
Author(s):  
Qun Wu ◽  
Kun Liao ◽  
Xiaodong Deng ◽  
Erika Marsillac
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Mass Customization ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Automotive Suppliers ◽  
Product And Process ◽  
Role Of Information

Purpose Previous literature tends to combine postponement and modularity or view them as parallel factors to achieve mass customization (MC) while ignoring the sequence of a firm to design and implement operations and supply chain strategy. Based on a customer-oriented strategy and theories of organizational information processing theory, three-dimensional (3D) concurrent engineering and resource dependency, the purpose of this paper is to propose a sequential model reflecting the sequence of practices as well as an overview picture for a firm to achieve MC. Design/methodology/approach The model links three company antecedents – postponement orientation, operational alignment and information sharing, to three company supply chain practices – product and process modularity and supplier segmentation. These practices, in turn, lead to the company’s MC capabilities. The proposed model is tested with a data set collected from automotive suppliers in China and in the USA. Structural equation modeling is used to analyze the data and test the model. Findings The results suggest that, for suppliers to achieve MC, postponement orientation and operational alignment are vital antecedents. The results also reveal the important responsibility and role of information sharing practices in coordinating suppliers’ modularity practices. Originality/value This research provides three findings that are of value to both academicians and practitioners of supply chain management. First, this study originally proposed and empirically tested that a postponement orientation is an antecedent of product and process modularity and supplier segmentation to achieve MC in the automotive sector, contrary to the traditional view of parallel relationships for both. Second, it developed and verified measures of operational alignment and supplier segmentation for future research use. Third, the vital role of information sharing to coordinate internal and external supply chain practices to achieve MC is empirically supported.

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

2019 ◽  
Vol 32 (5) ◽  
pp. 714-734 ◽  
Author(s):  
Zulqurnain Ali ◽  
Bi Gongbing ◽  
Aqsa Mehreen
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Information Sharing ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Individual Characteristics ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Content Type ◽  
Credit Quality

Purpose The purpose of this paper is to examine how a supply chain (SC) network helps small and medium enterprises (SMEs) to obtain liquidity and working capital for enhancing their performance while developing the relationships among SC members through information sharing. Moreover, this study also investigates whether a strong tie or bridge tie improves the availability of SMEs’ credit and performance. Design/methodology/approach Using a survey approach, data were collected from textile SMEs, located in Pakistan. Structural equation modeling and hierarchical regression model were run to validate the proposed model and the relationships. Findings Findings highlighted that strong tie and bridge tie of SMEs positively and significantly enhance the credit quality and SMEs’ performance. Furthermore, information sharing significantly moderates the relationship between SC network ties and SMEs’ credit quality. Credit quality significantly explains the indirect (mediation) association between the strong tie and the firm performance. Practical implications This study will help the SMEs’ entrepreneurs and SC executives to strengthen the liquidity position of SME and improve SMEs’ performance by developing the bridge ties. SMEs should share more information in their SC network while performing business transactions so that financers or lenders can easily access their operational capabilities and individual characteristics to offer them quality credit such as supply chain finance (SCF). Originality/value SMEs always face the issue of risk-free financing which adversely affects the firm performance. This study covered the hidden gap in SCM and SMEs’ financing literature by identifying the crucial role of SCF as quality credit in the development of SMEs. Moreover, SMEs can get benefits (e.g. quality credit=SCF) for better embedding in an SC network through information sharing.

Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kirti Nayal ◽  
Rakesh Raut ◽  
Pragati Priyadarshinee ◽  
Balkrishna Eknath Narkhede ◽  
Yigit Kazancoglu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Information Sharing ◽  
Service Providers ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type ◽  
Process Factors

PurposeIn India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).Design/methodology/approachThis study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.FindingsThis study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.Originality/valueThis study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.

Big data-driven supply chain and performance: a resource-based view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Data Driven ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type ◽  
Sustainable Performance ◽  
Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Shared leadership, diversity, and information sharing in teams

2014 ◽  
Vol 29 (5) ◽  
pp. 541-564 ◽  
Author(s):  
Julia E. Hoch
Keyword(s):  
Information Sharing ◽  
Team Performance ◽  
Shared Leadership ◽  
Structural Equation ◽  
Equation Modeling ◽  
Demographic Diversity ◽  
Content Type ◽  
Mediating Variables ◽  
Leadership Diversity

Purpose – Shared leadership is increasingly important in today's organizations. The purpose of this paper is to examine the association between shared leadership and team performance, the moderating role of demographic diversity and the mediating role of information sharing on this relationship. Design/methodology/approach – The research used a field study design, quantitative data of employees from two different organizations. Data were analyzed with structural equation modeling analyses. Findings – Shared leadership was positively associated with team performance and this association was mediated by information sharing. Demographic diversity moderated the relationship between shared leadership and team performance, such that shared leadership was more strongly associated with team performance in more diverse teams and less in less diverse teams. Research limitations/implications – The results found support for moderating and mediating variables, explaining under what conditions and how shared leadership is associated with team performance in organizations. Practical implications – The findings highlight the importance of nurturing shared leadership, in particular as teams tend to grow more diverse in our todays’ work settings. They also highlight the importance of diversity in how shared leadership unfolds its potential. Social implications – The research highlights that shared leadership, diversity, and information are increasingly important in today's organizations and should be considered from a more positive standpoint. Originality/value – This research explored the association between shared leadership, demographic diversity, and information sharing with team performance. It represents a first step in examining the moderating and mediating variables of the shared leadership and team performance association.

Attraction in buyer–supplier relationships

2019 ◽  
Vol 25 (2) ◽  
pp. 347-367 ◽  
Author(s):  
Andrea S. Patrucco ◽  
Davide Luzzini ◽  
Antonella Moretto ◽  
Stefano Ronchi
Keyword(s):  
Supply Chain ◽  
Equation Modeling ◽  
Collaborative Relationships ◽  
Cost Performance ◽  
Supplier Relationships ◽  
Content Type ◽  
Structured Equation Modeling ◽  
The One ◽  
Supplier Collaboration

PurposeThe purpose of this paper is to shed light on the dynamics of buyer–supplier industrial relationships and the role of customer attractiveness—a requisite to obtain best efforts from suppliers involved in collaborative initiatives.Design/methodology/approachThe paper develops a theoretical framework tested through an international survey with a structured equation modeling approach.FindingsResults confirm that customer attractiveness positively affects both innovation and cost performance ensured by suppliers. Moreover, several direct and indirect antecedents of customer attractiveness are identified, including characteristics of the buying firm’s procurement department (i.e. procurement knowledge and procurement status) and supply chain relationship characteristics (i.e. proficiency of supplier collaboration and visibility).Research limitations/implicationsBecause of the survey approach, the research results are limited to the data collected.Practical implicationsFindings support the relevance of collaborative relationships in improving performance, and the key role procurement department could play in managing the multifaceted aspects of supplier collaboration.Originality/valueThis paper investigates, on the one hand, why customer attractiveness is relevant for supply chain management, and what are the effects on innovation and cost performance ensured by suppliers; on the other hand, antecedents of customer attractiveness are considered, with a main focus on organizational and relational procurement variables.

Impact of supply chain information sharing on performance of fashion enterprises

2019 ◽  
Vol 32 (6) ◽  
pp. 913-935 ◽  
Author(s):  
Caixia Chen ◽  
Tongyu Gu ◽  
Yuru Cai ◽  
Yixiong Yang
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Information Sharing ◽  
Life Cycles ◽  
Equation Modeling ◽  
Content Type ◽  
Research Results ◽  
Fashion Brand ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to develop a novel research model to examine the relationship among information sharing (IS), supply chain integration (SCI), operational performance (OP) and business performance (BP) in the fashion supply chains. Design/methodology/approach A survey of 247 executives from Chinese fashion brand firms was conducted and the data were analyzed to investigate how IS affects the organizational BP. Structural equation modeling (SEM) was applied to study the relationship among IS, SCI, OP and BP. Findings The empirical research results indicate that IS is critical to enhance the SCI and OP, and both SCI and OP exert mediating effects on BP of fashion brands. This result also reveals constructive suggestions that allow fashion brands to strengthen their SCI and OP, as well as BP. Research limitations/implications Multiple data sources were applied to develop the sampling frame, and respondents were selected (according to their experience and position) to ensure they had the knowledge and expertise to provide valid response. However, this could not guarantee the adequacy of the sample. This limitation is compounded by the reliance on a simple respondent per firm, which precludes testing for inter-rater reliability. Practical implications The empirical findings provide an enhanced understanding of the relationship among IS, SCI, OP and BP in Chinese fashion brand settings. The research results will help fashion brands to improve supply chain efficiency and enhance company performance. Originality/value Although previous studies have realized that the value of IS varies in different industries, few have specifically explored the impact on the fashion industry characterized by short life cycles, high volatility, low predictability and high impulse purchasing. To fill this knowledge gap, the present study employed a questionnaire survey and SEM techniques to explore the relationship among IS, SCI, OP and BP in the fashion supply chain. Comprehending the impact mechanism of IS on organizational performance can provide useful management insights into the development of effective strategies that allow enterprise to improve BP.

scholarly journals Information technology competency and knowledge management in the hospitality industry service supply chain

2019 ◽  
Vol 74 (4) ◽  
pp. 872-884 ◽  
Author(s):  
Mohammad Reza Jalilvand ◽  
Javad Khazaei Pool ◽  
Masood Khodadadi ◽  
Mehdi Sharifi
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Academic Research ◽  
Equation Modeling ◽  
Content Type ◽  
Technology Competency ◽  
Service Supply Chain

Purpose This study aims to provide a better understanding of how information technology (IT) competency and knowledge management (KM) contribute to service supply chain (SSC) (coordination, collaboration and efficiency) practices in the hospitality industry. Design/methodology/approach Drawing on tourism businesses, this study tests the structural relationships of IT competency, KM and SSC. Structural equation modeling is performed to test the hypotheses. A survey of 494 hotels in Iran provided empirical evidence for the existence of interrelationships between multiple constructs. Findings The analysis demonstrated that IT competency is significantly associated with KM. Furthermore, SSC practices are found to be directly impacted by KM and IT competency. Originality/value This study unpacks the mechanism that operates between IT competency, KM and SSC and contributes to the academic research on SSC in the context of the hospitality industry.

Examining the impact of socialization and information sharing and the mediating effect of trust on innovation capability

2016 ◽  
Vol 36 (11) ◽  
pp. 1601-1624 ◽  
Author(s):  
Nisha Paul Kulangara ◽  
Sherry Avery Jackson ◽  
Edmund Prater
Keyword(s):  
Information Sharing ◽  
Business Environment ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovation Capability ◽  
Content Type ◽  
Mediating Role ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to investigate the interrelationship between trust, socialization, and information sharing on the buying firm’s innovation capability in the context of the buyer-supplier relationship (BSR). A nomological model is developed that examines the mediating role of relational capital (supplier trust) on the relationship between structural capital (socialization and information sharing) and innovation capability. Design/methodology/approach A survey was conducted on 357 US executives. Structural equation modeling was used to analyze the hypothesized relationships. Findings Information sharing and formal socialization activities increased the buying firm’s trust in its key supplier. However, formal socialization activities within the context of the business environment did not have a significant direct impact on buyer’s innovative capabilities; but when mediated by trust, it positively impacted innovation capabilities. Informal socialization within the context of the social environment directly impacted innovation capabilities but trust did not mediate the relationship. Information sharing impacted trust and innovation significantly and trust mediated the impact of information sharing on innovation capabilities. Originality/value This study defines the formal and informal aspects of socialization and investigates its impact on trust and buyer innovation capabilities. This is one of the few studies that highlights the mediating role of trust between firms to facilitate innovation capability.

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