The role of performance measurement in assessing the contribution of circular economy to the sustainability of a wine value chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Caterina Cavicchi ◽  
Emidia Vagnoni
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Enterprise Resource Planning ◽  
Value Chain ◽  
Environmental Sustainability ◽  
Circular Economy ◽  
Resource Planning ◽  
Performance Measurement System ◽  
Content Type ◽  
Chain Level

PurposeThis study aims to ascertain the extent to which a cooperative controlling a wine supply chain implements a performance measurement system (PMS) that monitors the effects of a circular economy (CE) strategy, developed through partnerships, on the economic and environmental sustainability of the value chain.Design/methodology/approachThe study analyzes the characteristics of the closed-loop business model and uses the PMS to assess the contribution of CE partnerships to the sustainability of the value chain. The case study is based on interviews conducted on the cooperative's top management and supplemented with an analysis of external reports, related documents and direct observations.FindingsThe PMS was underpinned by enterprise resource planning (ERP), through which CE indicators control for the benefits generated on behalf of the cooperative and its CE partners.Originality/valueGiven the paucity of the studies that address the performance measurement of CE at the supply chain level and its relation to sustainability, this study sheds light on the role that PMS can play in tracking the contribution of CE partnerships to the sustainability of a wine value chain operating in agro-waste valorization. Furthermore, the performance measurement of the CE strategy contributes to an assessment of the responsible production of sustainable development goals at the supply chain level.

The Impact of Strategic Performance Measurement System on Organizational Performance in Saudi Universities

2013 ◽  
Vol 1 (2) ◽  
pp. 64-71
Author(s):  
Naser Zouri ◽  
Zahra Abdolkarimi ◽  
Seyed A. Payambarpour
Keyword(s):  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Enterprise Resource Planning ◽  
Measurement System ◽  
Resource Planning ◽  
Planning System ◽  
Performance Measurement System ◽  
Strategic Performance ◽  
The Impact

Objective- The aim of the study is to enhance the mechanism of strategic performance measurement system goals base of four research questions: (i) to what association between the MCS and enterprise resource planning system (ERPS) intention to strategy performance management system (SPMS)? (ii) To what association between the performance management system (PMS) and ERPS intention to SPMS? (iii) To what relationship between the resource–based view/capabilities and ERPS intention to SPMS? (iv)To do comprehensiveness of organizational performance factors affected on ERPS intention to SPMS? Methodology/Technique A survey questionnaire was used to collect the data in Madinah, Reyaz, and Jeddah. Data was collected during the last section of 2013 of which 160 successful questionnaires were gathered for further analysis. Findings The result shows the impact of evaluation SPMS to solve the market place error and also ability of executives' level of management to solve the behaviours issue in business organization. Novelty - The significance of study contribute executive branch in Saudi universities for the safety of strategic performance measurement system implementation to be modified or changed, taking into account the financial metrics and non-financial when designing a control system. Type of Paper Empirical paper Keywords: , Strategic performance measurement system, Enterprise resource planning system, Strategic management category, Market place error.

scholarly journals Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Francisco Frederico ◽  
Jose Arturo Garza-Reyes ◽  
Anil Kumar ◽  
Vikas Kumar
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Balanced Scorecard ◽  
Industry 4.0 ◽  
Theoretical Perspective ◽  
Performance Measurement System ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Performance Measurement Systems

PurposeThe purpose of this paper is to present a theoretical approach based on the balanced scorecard (BSC) with regard to performance measurement – PM in supply chains for the Industry 4.0 era.Design/methodology/approachThis paper combines the literature of PM and specifically the BSC with the literature related to the dimensions of supply chain in the context of Industry 4.0.FindingsDimensions extracted from the literature based on supply chains within the context of Industry 4.0 showed a strong alignment with the four perspectives of the BSC, which make it suitable to be considered as a performance measurement system (PMS) for supply chains in this new context.Research limitations/implicationsFrom theoretical perspective, this study contributes to the limited literature on PM for supply chains in Industry 4.0 era. The study proposes a supply chain 4.0 Scorecard and strongly support researchers to conduct future empirical researches in order to get a deeper understanding about PM in supply chains in the Industry 4.0 era. As limitations, the theoretical framework proposed needs further empirical research in other to validate it and obtain new insights over the investigation conducted and presented into this paper.Practical implicationsPractitioners can use this study as a guide to develop more effective performance measurement systems – PMSs in their organizations.Originality/valueThis research is unique as it addresses a significant knowledge gap related to PM in supply chains in the Industry 4.0 era. It brings a significant contribution in terms of understanding how to measure performance in supply chains in this new era.

scholarly journals Key characteristics for designing a supply chain performance measurement system

2019 ◽  
Vol 68 (2) ◽  
pp. 296-318 ◽  
Author(s):  
Sara Elgazzar ◽  
Nicoleta Tipi ◽  
Glynis Jones
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Conceptual Framework ◽  
Measurement System ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Content Type ◽  
Design Elements ◽  
Practical Implications ◽  
Insight Into

Purpose The purpose of this paper is to conduct a review of the literature that gives insight into design elements for constructing a supply chain performance measurement (SCPM) system. Design/methodology/approach A systematic review of published research on SCPM systems and frameworks over the last two decades was conducted with the purpose of categorising key functions of SCPM systems by providing an insight into the design, functionality, implementation and practical implications of SCPM systems. Findings The review revealed a set of functions governing the SCPM system that have not been fully explored in previous research: the process focus, prioritisation, integration and causality functions of a SCPM system. A relationship between two or more functions can be created to include more functionality based on the needs of the company to create a comprehensive performance measurement system. Research limitations/implications The paper concludes with a conceptual framework to guide future research in the area of designing a SCPM system and define the main aspects that should be considered when developing a SCPM system. Practical implications The paper brings a new dimension to the SCPM research by identifying the main functions of SCPM systems that could benefit practitioners to set up a SCPM system relevant to its intended function. The paper presents multiple potential stages of merging different functions in one SCPM system. Based on the company’s needs and context, the functionality of the SCPM system can be designed at four levels creating ten possible scenarios when designing a company’s SCPM system. Originality/value The paper integrated the literature and findings of 269 research papers of the last two decades, upon which a conceptual framework was developed as a guide for constructing an effective SCPM system.

Strategies for modern operations management

2017 ◽  
Vol 24 (4) ◽  
pp. 1065-1081 ◽  
Author(s):  
Andrea Chiarini ◽  
Emidia Vagnoni
Keyword(s):  
Performance Measurement ◽  
Enterprise Resource Planning ◽  
Operations Management ◽  
Management Strategies ◽  
Resource Planning ◽  
Manufacturing Companies ◽  
Design And Development ◽  
Content Type ◽  
Development Processes ◽  
Operations Managers

Purpose This research enlarges the debate on the operations management strategies pursued by manufacturing companies. The purpose of this paper is to focus on issues concerning servitisation and customisation, enterprise resource planning (ERP) and Lean-agile, supply chain orchestration, corporate social responsibility (CSR) and Lean for design management. Design/methodology/approach A questionnaire of eight questions which stemmed from a literature review was completed by 152 senior operations managers from 120 large European manufacturing companies. Responses were scaled from strongly agree to strongly disagree. The results were tested for reliability using Cronbach’s α test. The questions were tested through a one-sample t-test. Findings The 152 respondents consider servitisation and standardisation to be a trade-off. They consider integration of ERP strategies with Lean and agile systems and customised products/processes to be difficult. Furthermore, suppliers’ orchestration is considered not that suitable for manufacturing companies and suppliers’ CSR performance measurement excessive. By contrast, a CSR internal performance measurement is helpful for increasing sales. The respondents also indicate that there is a lack of Lean tools for design and development processes and Six Sigma is the only strategy for improving quality performance in design and development processes. Research limitations/implications The findings are applicable only to the manufacturing sector. The findings of this research indicate many avenues of research for scholars. Practical implications The findings can be very useful for manufacturing operations managers deciding their future strategies on operations. Originality/value Findings related to servitisation and customisation, ERP and Lean-agile, supply orchestration for manufacturing companies and Lean and agile for product design are original and open a valuable debate.

scholarly journals A constraint-driven approach to food supply chain management

2017 ◽  
Vol 117 (9) ◽  
pp. 2115-2138 ◽  
Author(s):  
Pawel Sitek ◽  
Jaroslaw Wikarek ◽  
Peter Nielsen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Enterprise Resource Planning ◽  
Food Supply ◽  
Hybrid Approach ◽  
Resource Planning ◽  
Constraint Satisfaction Problems ◽  
Food Supply Chain ◽  
Chain Management ◽  
Content Type

Purpose The purpose of this paper is the need to build a novel approach that would allow flexible modeling and solving of food supply chain management (FSCM) problems. The models developed would use the data (data-driven modeling) as early as possible at the modeling phase, which would lead to a better and more realistic representation of the problems being modeled. Design/methodology/approach An essential feature of the presented approach is its declarativeness. The use of a declarative approach that additionally includes constraint satisfaction problems and provides an opportunity of fast and easy modeling of constrains different in type and character. Implementation of the proposed approach was performed with the use of an original hybrid method in which constraint logic programming (CLP) and mathematical programming (MP) are integrated and transformation of a model is used as a presolving technique. Findings The proposed constraint-driven approach has proved to be extremely flexible and efficient. The findings obtained during part of experiments dedicated to efficiency were very interesting. The use of the constraint-driven approach has enabled finding a solution depending on the instance data up to 1,000 times faster than using the MP. Research limitations/implications Due to the limited use of exact methods for NP-hard problems, the future study should be to integrate the CLP with environments other than the MP. It is also possible, e.g., with metaheuristics like genetic algorithms, ant colony optimization, etc. Practical implications There is a possibility of using the approach as a basis to build a decision support system for FSCM, simple integration with databases, enterprise resource planning systems, management information systems, etc. Originality/value The new constraint-driven approach to FSCM has been proposed. The proposed approach is an extension of the hybrid approach. Also, a new decision-making model of distribution and logistics for the food supply chain is built. A presolving technique for this model has been presented.

Designing supply chain performance system: a strategic study on Indian manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajay Jha ◽  
R.R.K. Sharma ◽  
Vimal Kumar ◽  
Pratima Verma
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Measurement System ◽  
Performance Metrics ◽  
Customer Relationship ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Holistic View ◽  
Content Type ◽  
Focal Firm

Purpose A well-designed supply chain performance measurement system, should account for not only the capabilities and performance attributes of the focal firm but also its supply chain partners. The purpose of this paper is to help design a system that strikes a balance between the strategic objectives of the focal firm and its supply partners vis-à-vis the requirements of supply chain performance (cost, quality, speed and customer taste). Design/methodology/approach A theoretical framework on the strategic supply chain performance measurement system is developed based on existing literature and subsequently tested using a survey on 136 successful manufacturing organizations in India. The organizations were clustered into three strategy types and compared using analysis of variance on ranks to look for differences in preference for performance parameters. Findings The study examined the five dimensions of the supply chain practices, namely, strategic supply/distribution network, customer relationship, internal operations, information sharing and social and environmental responsiveness. The empirical results demonstrate the inclusion of business strategy orientation in designing today’s supply chain and hence its performance measurement system. Not supported hypotheses were addressed in the light of contextual factors. Research limitations/implications The study is confined to finding preferences of non-financial aspects of supply chain performance and tier-1 suppliers. The research helps better design and benchmark supply chain performance metrics, based on the strategic choice of the firm. Originality/value This paper highlights the shortcomings in the existing performance measurement and gaps in the existing literature in the supply chain context. Further, it gives a holistic view of strategic supply chain performance measurement design.

Identifying the drivers of enterprise resource planning and assessing its impacts on supply chain performances

2015 ◽  
Vol 115 (3) ◽  
pp. 541-569 ◽  
Author(s):  
David Hwang ◽  
Hokey Min
Keyword(s):  
Supply Chain ◽  
Enterprise Resource Planning ◽  
Large Scale ◽  
Resource Planning ◽  
Internal Environment ◽  
Pilot Phase ◽  
Organizational Capability ◽  
Content Type ◽  
Adoption And Implementation

Purpose – Enterprise resource planning (ERP) is intended to integrate all facets of a company’s business operations encompassing production planning, material purchasing, inventory control, logistics, accounting, finance, marketing, and human resource management by creating a single depository of the database that can be shared by the entire organization and its trading partners. Through an empirical study, the purpose of this paper is to identify a multitude of drivers that facilitate or hinder the implementation of ERP in business environments. Also, this paper determines its role in supply chain operations and assesses its impact on supply chain performances. Design/methodology/approach – To examine which factors drive the ERP adoption and gauge the level of the ERP success, the authors develop a research framework based on two well-known theories in the strategy literature: a contingency theory; and a resource-based view of the firm. This research framework allowed us to develop a series of hypotheses regarding the use of ERP for strategic sourcing. To test hypotheses, the authors carried out the study in three phases: a pre-pilot; a pilot; and a large-scale questionnaire survey. In the pre-pilot phase, the authors generated potential survey items through theory development and a literature review. In the pilot phase, the authors develop a structural equation model along with the identification of valid constructs based on structural interviews and the Q-sort method. At the last stage, the authors conducted a large-scale survey via mail questionnaires primarily targeting the Korean industry comprised of manufacturers and their suppliers and customers. Findings – The firm’s ERP adoption and implementation decision is mainly affected by its internal environment. Defying the conventional wisdom, the firm’s external environment has little influence on its decision to adopt and implement ERP. However, through the mediating role of an internal environment, an external environment still indirectly influences the ERP adoption and ERP implementation decision. Also, the authors found that ERP could enhance the ERP adopter’s organizational capability and supplier capability. Originality/value – This study is one of a few attempts to investigate the role of ERP in the supply chain and identify important determinants influencing the ERP adoption and implementation decisions. Especially, in contrast with the previous literature which often gauged the benefits of ERP from an ERP adopter’s standpoint, this paper is one of the few to assess the benefits of ERP from the ERP adopter’s supply chain partners standpoints. Also, it is one of the first to assess the impact of ERP on supplier capability, organizational capability, and customer value.

Relationships among ERP, supply chain orientation and operational performance

2017 ◽  
Vol 24 (5) ◽  
pp. 1291-1308 ◽  
Author(s):  
Mehmet Fatih Acar ◽  
Selim Zaim ◽  
Mine Isik ◽  
Fethi Calisir
Keyword(s):  
Supply Chain ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Operational Performance ◽  
Equation Modeling ◽  
Success Factor ◽  
Content Type ◽  
Chain Orientation ◽  
Positive Effects ◽  
Supply Chain Orientation

Purpose The purpose of this paper is to investigate the interactions among enterprise resource planning (ERP) practices, supply chain orientation (SCO), and operational performance (OPER) by forming a macro perspective based on a scientific foundation powered by a resource-based view. Design/methodology/approach Exploratory and confirmatory factor analyses were used to verify the underlying dimensions of SCO and ERP practices. The covariance-based structural equation modeling was employed to test the direct and indirect effects of SCO and ERP practices constructs on OPER. Findings Results revealed that SCO has significant and positive effects on OPER, whereas ERP practices do not. Moreover, the indirect effect of ERP practices with the mediating effects of SCO is stronger than their direct effects. In addition, the origin of the ERP practices is found to be an important critical success factor. Originality/value Although much research has investigated the direct effect of ERP practices on performance, this study points out the importance of SCO in observing the stronger impacts of ERP practices.

Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Phillip S. Coles ◽  
Melissa Chavez ◽  
Benjamin Hazen
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Management ◽  
Food Supply ◽  
Measurement Model ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Fuzzy Micmac

PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

A dynamic performance measurement system for supply chain management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vahid Nazari-Ghanbarloo
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Supply Chain ◽  
Performance Measurement ◽  
Dynamic Behavior ◽  
Balanced Scorecard ◽  
Performance Metrics ◽  
Management Tool ◽  
Performance Measurement System ◽  
Content Type

PurposeThis paper aims to propose a dynamic model for measurement supply chain performance (SCP) based on a dynamic balanced scorecard (DBSC). Balanced scorecard (BSC) can be defined as a popular performance measurement method that can translate the strategy into a set of performance indicators and manage the status of implementing the various strategies. However, BSC is unable to simulate the complicated environment and the dynamic behavior of performance metrics. Therefore, the author combines BSC with system dynamics (SD) to explore a more efficient tool for measurement SCP.Design/methodology/approachA dynamic causal model is proposed based on the causal hypotheses. The developed DBSC enables managers to evaluate and measure the SCP in a much-balanced way. Using DBSC makes it possible that different SCP metrics to be reviewed and distributed into the four above-mentioned perspectives. It also enables supply chain (SC) managers to evaluate different strategies to improve SCP.Findingsinvestigates two strategies to improve SCP as follows: (1) competitive strategy and (2) harvesting big data and using data mining techniques to determine the customer's expectations and then compares the results of these two strategies based on the four perspectives of DBSC and introduce the best strategy. Finally, harvesting big data and data mining is selected as the best strategy.Originality/valueThis study proposes a novel strategic management tool for measurement SCP and simulation of the complicated environment and the dynamic behavior of performance metrics. The proposed DBSC model enables managers to compare different strategies and select the best strategy.

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