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.

Backward supply chain information sharing: who does it benefit?

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhaojun Han ◽  
Baofeng Huo ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unequal Distribution ◽  
Content Type ◽  
Using Data ◽  
Sharing Behavior ◽  
Practical Implications

Purpose The purpose of this study is to explore the effect of backward supply chain information sharing (SCIS) on the performance of different parties along supply chains. Design/methodology/approach Using data collected from 617 Chinese manufacturers, this study examines the effect of information sharing from manufacturers to suppliers (ISMS) on supplier and manufacturer responsiveness in both two- and three-tier supply chains and the transferrable effect of information sharing from customers to manufacturers (ISCM) on supplier responsiveness. The authors use structural equation modeling and regression analysis to estimate the proposed relationships. Findings ISMS is positively related to supplier responsiveness in both two- and three-tier SCIS, whereas its effect on manufacturer responsiveness is conditional, indicating that upstream receiving parties benefit more from backward SCIS. ISCM is positively related to supplier responsiveness, demonstrating the transferable effect of backward SCIS. Practical implications When designing SCIS strategies, managers should take into account the unequal distribution of benefits from SCIS and the transferable effect of backward SCIS. Specifically, companies should always motivate their downstream partners to engage in SCIS, while they themselves need to be cautious with information sharing. They should also be aware that their information sharing behavior may benefit a third upstream party. Originality/value This study provides deep insights into the distribution of the benefits from SCIS among supply chain partners and suggests that the direction and the role supply chain partners play (as receiving or disclosing parties) in SCIS matter.

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.

Supply chain information governance: toward a conceptual framework

2019 ◽  
Vol 30 (2) ◽  
pp. 506-526 ◽  
Author(s):  
Joonhwan In ◽  
Randy Bradley ◽  
Bogdan C. Bichescu ◽  
Chad W. Autry
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Information Flow ◽  
Information Quality ◽  
Theoretical Framework ◽  
Performance Outcomes ◽  
Organizational Level ◽  
Information Flows ◽  
Content Type ◽  
Information Governance

Purpose The purpose of this paper is to propose a scalable conceptual framework for governance of supply chain (SC) information flows by re-contextualizing the organizational concept of information governance as an SC concept. Design/methodology/approach This study leverages the strategy-structure-process-performance (SSPP) theory base to explain how effective SC information governance relates to improved internal SC performance. Via an in-depth literature review followed by conceptual theory building, the key features of organizational-level information governance are cast into a theoretical framework. Findings This study presents the theoretical framework that explains how SC information governance should contribute to improved internal SC performance. The proposed framework provides a theoretical basis for future research on SC information governance and would become a useful first step to extend the concept of SC information governance at the SC level. Practical implications SC managers should be aware that information governance mechanisms, rather than the management of basic, information flow-directed processes, to yield the best performance outcomes. Because of the numerous touch points information has in complex SCs, managing the quality of SC information through broader, higher-level governance standards is more important than maximizing connectivity and information flows, and information governance structures/policies across organizations should be designed accordingly. Originality/value This study theoretically links SC information governance and internal SC performance via information quality. It also advances the understanding of SC information flow by challenging the implicit but flawed assumption that uniformity of information quality within the supply chain to create the best outcomes.

Potentials of blockchain technologies for supply chain collaboration: a conceptual framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abderahman Rejeb ◽  
John G. Keogh ◽  
Steven J. Simske ◽  
Thomas Stafford ◽  
Horst Treiblmaier
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Information Sharing ◽  
Resource Sharing ◽  
Supply Chain Collaboration ◽  
Goal Congruence ◽  
Content Type ◽  
Information Transparency ◽  
Narrative Literature Review ◽  
Key Dimensions

PurposeThe purpose of this study is to investigate the potentials of blockchain technologies (BC) for supply chain collaboration (SCC).Design/methodology/approachBuilding on a narrative literature review and analysis of seminal SCC research, BC characteristics are integrated into a conceptual framework consisting of seven key dimensions: information sharing, resource sharing, decision synchronization, goal congruence, incentive alignment, collaborative communication and joint knowledge creation. The relevance of each category is briefly assessed.FindingsBC technologies can impact collaboration between transaction partners in modern supply chains (SCs) by streamlining information sharing processes, by supporting decision and reward models and by strengthening communicative relationships with SC partners. BC promises important future capabilities in SCs by facilitating auditability, improving accountability, enhancing data and information transparency and improving trust in B2B relationships. The technology also promises to strengthen collaboration and to overcome vulnerabilities related to moral hazard and shortcomings found in legacy technologies.Research limitations/implicationsThe paper is mainly focused on the potentials of BC technologies on SCC as envisioned in the current academic literature. Hence, there is a need to validate the theoretical inferences with other approaches such as expert interviews and empirical tests. This study is of use to practitioners and decision-makers seeking to engage in BC-collaborative SC models.Originality/valueThe value of this paper lies in its call for an increased focus on the possibilities of BC technologies to support SCC. This study also contributes to the literature by filling the knowledge gap of how BC potentially impacts SC management.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

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.

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 the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

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.

Leanness and agility: a comparative theoretical view

2017 ◽  
Vol 117 (1) ◽  
pp. 149-165 ◽  
Author(s):  
Nesrine Eltawy ◽  
David Gallear
Keyword(s):  
Systematic Review ◽  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Framework ◽  
Deep Understanding ◽  
Future Research ◽  
Content Type ◽  
Comparative Review ◽  
Concept Review ◽  
The Relationship

Purpose The purpose of this paper is to compare and distinguish between two salient means for improving the management of, and leveraging the effectiveness of, supply chains. Leanness and agility have been considered recently as prominent and successful means for competing. The paper examines the literature on leanness and agility thinking including their definitions, importance and practices. The paper also highlights the argument surrounding the relationship direction between these two concepts. Design/methodology/approach A systematic comparative review was conducted on the lean literature and agility literature at three levels: manufacturing, organisation and supply chain. The systematic review on the lean concept has been conducted based on articles published over the last two decades. The agility concept review was conducted based on the articles published from its inception in 1991 through early 2016. Findings A conceptual framework is presented following the in-depth review. The conceptual framework sets out the input, operational practice and output elements necessary for both philosophies to take root successfully. A discussion based on the review of the literature on the direction of the relationship between leanness and agility is also presented, and should also be included in any future empirical testing of the conceptual framework. Research limitations/implications The paper is based on a systematic review which extends previous research as it has been conducted in a detailed and clear systematic manner which enables a deep understanding of the similarities and differences between leanness and agility philosophies from an operational perspective: inputs, operational and outcomes elements. Future research is required to empirically test the conceptual relationships. Practical implications Companies are constantly searching for ways to improve their supply chains. This paper seeks to provide a deep understanding for lean and agility philosophies as important means for achieving this goal. This has been conducted by clarifying the differences, similarities and the direction of the relationship that may exist between these two approaches as means for improving a company’s supply chain. Originality/value Based on a systematic review on leanness and agility philosophies, a conceptual framework exploring the differences and similarities between both philosophies from an operational systematic perspective is presented.

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