Supply chain information utilisation: conceptualisation and antecedents

2016 ◽  
Vol 36 (12) ◽  
pp. 1769-1799 ◽  
Author(s):  
Patrik Jonsson ◽  
Paulina Myrelid
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Information Quality ◽  
Network Governance ◽  
Content Type ◽  
Performance Effect ◽  
Actual Usage ◽  
Planning Processes ◽  
Rich Data

Purpose The purpose of this paper is to define supply chain information utilisation and explore how its antecedents impact shared information utilisation in information receiver’s planning processes. Design/methodology/approach The analysis is based on a literature review and exploratory case study of three supplier dyads of original equipment manufacturers. This study presents a four-phase model of supply chain information utilisation, and identifies how information sharing, information quality, and intended information usage are antecedents of actual usage of information shared in supply chains. In the dyads, 35 potential information utilisation situations are analysed. Findings Inter- and intra-organisational factors are antecedents of information utilisation, by their effects on the four phases of utilisation. Composite information sharing, social network governance, human process involvement, and formal planning processes are important antecedents, which are not much emphasised in the literature. Research limitations/implications The study focusses on routinised sharing of formal demand-related planning information in supply chain dyads. The analysis is based on three case dyads which are chosen to be complementary in several respects, and where there is access to rich data. Practical implications Understanding phases and antecedents could support managers in developing information sharing strategies. Originality/value The literature does not explicitly consider information utilisation, or related antecedents or effects. However, by defining information utilisation and proposing a multi-phase utilisation model, this study can explain the performance effect of information sharing. In addition, the composite information variable is defined. This is the first attempt to conceptualise and explore antecedents of information utilisation in supply chains.

Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry

2020 ◽  
Vol 31 (3) ◽  
pp. 697-723
Author(s):  
Yue Zhang ◽  
Derek Baker ◽  
Garry Griffith
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Framework ◽  
Information Sharing ◽  
Structural Equation ◽  
Information Quality ◽  
Structural Equation Models ◽  
Red Meat ◽  
Costs And Benefits ◽  
Content Type

PurposeThis paper aims to address the association between the quality and quantity of information in supply chains and the costs and benefits of generating, using and sharing it.Design/methodology/approachThe authors’ conceptual framework draws on multiple disciplines and theories of the value and use of product information. Controllable aspects of information, its quality and quantity, are the focus of the study as drivers of firm and chain performance. Structural equation models of constructs at two stages of the Australian red meat supply chain are employed, using data from a survey of 81 sheep and cattle breeders and commercial producers.FindingsInformation quality influences performance more for some product attributes than others and is more influential than is information quantity. Information sharing for many attributes generates benefits only at high cost. Investment in measurement and transmission technologies is supported for intrinsic and extrinsic measures of quality. Differences in respondents' evaluation of information quality are interpreted as evidence of persistent chain failure.Originality/valueTo the authors' knowledge, this is the first attempt at quantifying and comparing the benefits and costs of information sharing across multiple stages of a supply chain and the first to assess quantitatively the role played by information quality and quantity in generating costs and benefits.

Investigating the impact of inventory inaccuracy on the bullwhip effect in RFID-enabled supply chains using colored petri nets

2019 ◽  
Vol 14 (2) ◽  
pp. 360-384 ◽  
Author(s):  
Maria Drakaki ◽  
Panagiotis Tzionas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Petri Nets ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Colored Petri Nets ◽  
Content Type ◽  
Multi Stage ◽  
The Impact ◽  
Serial Supply Chains

PurposeInformation distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.Design/methodology/approachA simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.FindingsThe bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.Research limitations/implicationsInformation sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.Originality/valueColored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

Manufacturing SMEs, network governance and global supply chains

2019 ◽  
Vol 27 (1) ◽  
pp. 130-147
Author(s):  
Tony Cragg ◽  
Tom McNamara ◽  
Irena Descubes ◽  
Frank Guerin
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Demand Uncertainty ◽  
Network Governance ◽  
Global Supply Chains ◽  
Informal Networks ◽  
Content Type ◽  
Case Research ◽  
Effective Form ◽  
Supply Chain Governance

Purpose The purpose of this paper is to investigate how small manufacturing firms develop and manage relationships with global suppliers and distributors. In so doing the authors aim to contribute to knowledge about SMEs and supply chain management (SCM). Design/methodology/approach The authors conducted 12 in-depth case studies of SME final assemblers of machinery in the French farm equipment sector. Findings The most effective form of global supply chain governance used by successful SMEs is informal networks involving managers in similar complementary firms, which serve to concatenate links with foreign suppliers and distributors. Research limitations/implications The principal limitation of this research is that it is specific to one sector and therefore questions of transferability are raised. Practical implications The important implication for managers in manufacturing SMEs is that links with other complementary local firms in the same sector need to be developed, leveraged and valued. Originality/value The originality of this case research is that the authors draw on inter-organisational boundaries, power asymmetries and network governance to develop a conceptual framework for the study of SMEs and global supply chains. By focusing on the perceptions of boundary-spanning managers, the authors show how, in circumstances of demand uncertainty, soft network governance is an effective strategic choice.

scholarly journals Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA)

2019 ◽  
Vol 24 (1) ◽  
pp. 5-21 ◽  
Author(s):  
Claudia Colicchia ◽  
Alessandro Creazza ◽  
Carlo Noè ◽  
Fernanda Strozzi
Keyword(s):  
Supply Chain ◽  
Network Analysis ◽  
Literature Review ◽  
Supply Chains ◽  
Information Sharing ◽  
Content Type ◽  
Network Analyses ◽  
Dynamic Representation ◽  
Research Areas ◽  
Over Time

Purpose The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supply chain management. Design/methodology/approach The dynamic literature review method called Systematic Literature Network Analysis (SLNA) was adopted. It combines the Systematic Literature Review approach and bibliographic network analyses, and it relies on objective measures and algorithms to perform quantitative literature-based detection of emerging topics. Findings The focus of the literature seems to be on threats that are internal to the extended supply chain rather than on external attacks, such as viruses, traditionally related to information technology (IT). The main arising risk appears to be the intentional or non-intentional leakage of information. Also, papers analyze the implications for information sharing coming from “soft” factors such as trust and collaboration among supply chain partners. Opportunities are also highlighted and include how information sharing can be leveraged to confront disruptions and increase resilience. Research limitations/implications The adopted methodology allows for providing an original perspective on the investigated topic, that is, how information sharing in supply chains and related risks are evolving over time because of the turbulent advances in technology. Practical implications Emergent and highly critical risks related to information sharing are highlighted to support the design of supply chain risks strategies. Also, critical areas to the development of “beyond-the-dyad” initiatives to manage information sharing risks emerge. Opportunities coming from information sharing that are less known and exploited by companies are provided. Originality/value This paper focuses on the supply chain perspective rather than the traditional IT-based view of information sharing. According to this perspective, this paper provides a dynamic representation of the literature on the investigated topic. This is an important contribution to the topic of information sharing in supply chains is continuously evolving and shaping new supply chain models.

Exploring information sharing in the extended supply chain: an interdependence perspective

2015 ◽  
Vol 20 (4) ◽  
pp. 455-470 ◽  
Author(s):  
Joakim Kembro ◽  
Kostas Selviaridis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Demand Uncertainty ◽  
Analytical Framework ◽  
Content Type ◽  
Related Information ◽  
Market Shares ◽  
Shared Information ◽  
Meta Information

Purpose – This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach – Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings – The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications – The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications – Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value – This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.

Structural model of information quality framework to e-agri supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shivani Agrawal ◽  
Vinay Singh ◽  
Yogesh Upadhyay
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Value Of Information ◽  
Information Quality ◽  
Structural Model ◽  
Equation Modeling ◽  
Content Type ◽  
Market Expansion ◽  
Quality Framework ◽  
The Impact

PurposeDue to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.Design/methodology/approachSurvey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.FindingsThe results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.Practical implicationsThe findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.Originality/valueThe study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

Modelling complexity in retail supply chains

Kybernetes ◽  
2016 ◽  
Vol 45 (2) ◽  
pp. 297-322 ◽  
Author(s):  
Esra Ekinci ◽  
Adil Baykasoglu
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Supply Chains ◽  
Information Sharing ◽  
Performance Measures ◽  
Dynamics Simulation ◽  
Type Analysis ◽  
Content Type ◽  
Retail Supply Chains ◽  
And Performance

Purpose – The purpose of this paper is to describe the characteristics of complexity and how a retail supply chain can contain complexity in itself. A case has been provided to show the measurement of complexity with/without information sharing and the relation of complexity with the performance measures. Quantification of the complexity will help the practitioners to take strategic actions. Design/methodology/approach – System dynamics simulation has been used to model the retail supply chain with and without information sharing and data visibility. Entropy-based metric used for quantification and comparison of complexity based on the outputs of the models. Performance measures proposed for the retail supply chains to understand the effect of data visibility. Findings – Paper provides insight about the complexity of retail supply chain perspective. Using system dynamics modelling can be a useful way to perform what-if type analysis before business process changes. Including both complexity and performance measures can be useful to understand if the complexity is good or bad for the business and if it is in manageable amount. Research limitations/implications – Paper can encourage the future research on retail supply chains. Practical implications – Approach can be useful to analyse what-if type analysis in practice easily. It can support strategic decision making process. Originality/value – Combines retail supply chain with complexity and performance measurement.

Relational enablers of information sharing: evidence from Chinese food supply chains

2017 ◽  
Vol 117 (5) ◽  
pp. 838-852 ◽  
Author(s):  
Shaoling Fu ◽  
Zhaojun Han ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Food Supply ◽  
Relationship Management ◽  
Resource Dependence Theory ◽  
Relationship Commitment ◽  
Quality And Safety ◽  
Content Type ◽  
Food Supply Chains

Purpose Facilitating supply chain visibility and traceability through effective information sharing is vital to improve the quality and safety of food products. However, we know little about the enablers of information sharing in food supply chains. Drawing upon resource dependence theory and social exchange theory, the purpose of this paper is to explore how farmers’ dependence on companies influences their trust in and relationship commitment to those companies, and in turn facilitates effective information sharing with them. Design/methodology/approach Data collected from 462 farmers in China were used to test the conceptual model and related hypotheses. Findings The results show that dependence has a significant positive effect on trust and relationship commitment, but it has no direct significant effect on information sharing. In addition, trust has a significantly positive influence on relationship commitment, and both trust and relationship commitment have significantly positive effects on information sharing. These findings show that strengthening farmers’ dependence on companies can cultivate farmers’ trust and relationship commitment, thereby encouraging them to share information with the companies. Originality/value Theoretically, this study contributes to the supply chain information sharing and relationship management literature. Practically, it shows how companies can effectively monitor production processes and improve food quality and safety through information sharing and relationship management.

scholarly journals The effect of supply chain management practices on supply chain and manufacturing firms’ performance

2017 ◽  
Vol 28 (5) ◽  
pp. 577-609 ◽  
Author(s):  
Moh’d Anwer Radwan Al-Shboul ◽  
Kevin D. Barber ◽  
Jose Arturo Garza-Reyes ◽  
Vikas Kumar ◽  
M. Reza Abdi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Information Sharing ◽  
Causal Relationship ◽  
Significant Relationship ◽  
Manufacturing Firms ◽  
Chain Management ◽  
Content Type ◽  
Positive Effect

Purpose The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP. Design/methodology/approach Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling. Findings The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2). Practical implications This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms. Originality/value This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

Information sharing in supply chains, myth or reality? A critical analysis of empirical literature

2014 ◽  
Vol 44 (3) ◽  
pp. 179-200 ◽  
Author(s):  
Joakim Kembro ◽  
Dag Näslund
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Empirical Evidence ◽  
Research Area ◽  
Empirical Literature ◽  
Future Research ◽  
Main Body ◽  
Supplier Relationships ◽  
Content Type

Purpose – The purpose of this paper is to investigate what empirical evidence exists regarding benefits of information sharing in supply chains, and to identify potential gaps and opportunities in this research area. Design/methodology/approach – The authors conducted an in-depth, systematic literature review and multilevel analysis of 82 selected articles. In the analysis, the authors investigated: whether the articles applied the supply chain as the unit of analysis; the selected research method; whether the articles applied the supply chain as the unit of data collection (i.e. collected data from three or more different companies); and finally, aspects of information sharing – including benefits. Findings – Despite anecdotal descriptions of benefits from information sharing in supply chains, the authors could not find empirical evidence to support these claims. Rather, the main body of literature reports on a focal company's perspective on traditional buyer-supplier relationships. Research limitations/implications – Given the lack of evidence for the claimed benefits of information sharing on a supply chain level, more research is needed in this field. The authors therefore propose an agenda for future research building on four key points. Originality/value – Contrary to popular belief, empirical evidence for benefits of information sharing in supply chains does not seem to exist. This article highlights an issue previously not addressed with a systematic in-depth review and analysis of empirical articles.

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