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Article
Publication date: 1 September 2004

A.C. Caputo, F. Cucchiella, L. Fratocchi, P.M. Pelagagge and F. Scacchia

This study proposes a model for the analysis and performance evaluation of e‐supply chains (e‐SCs), that are supply chains (SCs) in which actors are connected by Internet…

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Abstract

This study proposes a model for the analysis and performance evaluation of e‐supply chains (e‐SCs), that are supply chains (SCs) in which actors are connected by Internet technologies. It is assumed that e‐SC performances are influenced by the network ol structures, by the criteria adopted to manage relationships among involved actors, and by the critical activities that the leading company performs. At first, the variables influencing such factors are identified and the interdependencies among them are analysed to establish existing correlations. This, in turn, enables one to group the values of the influencing factors in four coherent sets which are consistent with different business environments, thus assuring the effectiveness and efficiency to the e‐SC. The obtained reference model is then tested by applying it to literature‐based case studies. The output of this model may be used to design totally new e‐SCs or to redesign the existing ones, in both manufacturing and services industries.

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Industrial Management & Data Systems, vol. 104 no. 7
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 17 June 2024

Murat Ertuğrul and Mustafa Hakan Saldi

The study is called for to eliminate the noise between the significant macro variables from the perspective of the cause-and-effect approach to indicate why and how the return of…

Abstract

Introduction

The study is called for to eliminate the noise between the significant macro variables from the perspective of the cause-and-effect approach to indicate why and how the return of solar projects is being affected by these.

Purpose

The study aims to investigate the spread between unit selling electricity prices of a monthly production of 250 KW solar project installed in Türkiye and USD/TRY.

Methodology

A relational framework is designed by drawing on the variables determined as crude oil prices, United States (US) 2-year yield, Dollar Index (DXY), USD/TRY, the annual inflation rate of Türkiye, and unit selling electricity prices. Then, a multivariate approach is performed through Matlab to analyse the correlational relationships and structure the curve estimation models.

Findings

The observations show that the gradually rising spread between unit selling electricity price and USD/TRY signals the reduction in return-on-investment rate of solar energy projects because of the particular causes of the European energy crisis by the reason of Russia and Ukraine war and escalating risks in DXY and US treasury yields as a result of federal fund rate hikes against inflationary pressures. Solar energy investments are delicate instruments to global oil shocks and higher DXY in controlling Inflation and currency volatility; therefore, resilient policies should solicit the demand because of environmental and economic reasons to reduce the external dependency of Türkiye.

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Details

Supply Chain Management: An International Journal, vol. 17 no. 1
Type: Research Article
ISSN: 1359-8546

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Book part
Publication date: 8 November 2021

Siti Aisjah and Sri Palupi Prabandari

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly…

Abstract

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

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Environmental, Social, and Governance Perspectives on Economic Development in Asia
Type: Book
ISBN: 978-1-80117-895-2

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Article
Publication date: 1 July 2002

A.C. Caputo, F. Cucchiella, L. Fratocchi, P.M. Pelagagge and F. Scacchia

The paper deals with technological and managerial innovation transfer to small and medium sized enterprises. A comprehensive framework is presented, identifying a networked…

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Abstract

The paper deals with technological and managerial innovation transfer to small and medium sized enterprises. A comprehensive framework is presented, identifying a networked architecture in which different actors (universities, other R&D centers, consulting companies, the European Union, national government, local public administration) interact. In so doing, the need of a specific promoting role is pointed out. Consequently, introduction of an innovation center (IC) responsible for the whole transfer process is proposed. Within this organizational unit, the role of innovation promoter (IP), that is the interface with the specific SME, is analyzed and discussed. Finally, a general scheme of IC and IP actions and competences is presented.

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Industrial Management & Data Systems, vol. 102 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 April 2005

Antonio C. Caputo, Federica Cucchiella, Luciano Fratocchi and Pacifico Marcello Pelagagge

The purpose of the present paper is to provide a comprehensive framework for analyzing relationships among economic actors interconnected through internet and constituting…

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Abstract

Purpose

The purpose of the present paper is to provide a comprehensive framework for analyzing relationships among economic actors interconnected through internet and constituting e‐supply networks (e‐SNs).

Design/methodology/approach

At first the main factors characterizing e‐SN pattern are identified (organizational structures, managerial criteria and critical activities), then two separate procedures are adopted for developing an integrated reference framework. The first based on the analysis of correlations among variables influencing the factors under investigation; the second based on the analysis of different types of physical and immaterial flows among actors involved in the e‐SN. On the basis of such evidence an integrated global framework is proposed, which is then used to classify and describe some relevant literature‐based case studies.

Findings

On the basis of two newly introduced variables, namely the internal integration degree and the decision‐making concentration degree, the framework identifies four sets of organizational structures, managerial criteria and critical activities, each one coherent with specific environmental contexts.

Research limitations/implications

The framework is restricted to describing and classifying different typologies of e‐SN.

Practical implications

The framework may be useful for assessing if the typology of organizational structure, managerial criteria and critical activities adopted for the management of a specific e‐SN, is coherent with e‐SN business environment. It may also provide useful guidelines for managers and practitioners involved in e‐SN design.

Originality/value

The paper provides an original integrated framework to classify e‐SNs.

Details

Supply Chain Management: An International Journal, vol. 10 no. 2
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 19 June 2019

Idiano D’Adamo, Pasquale Marcello Falcone and Massimo Gastaldi

The price of extra virgin olive oil (EVOO) is highly subjected to variability. In this way, the consumer is not able to perceive a price of reference. The purpose of this paper is…

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Abstract

Purpose

The price of extra virgin olive oil (EVOO) is highly subjected to variability. In this way, the consumer is not able to perceive a price of reference. The purpose of this paper is to investigate this topic, trying to define a range suitable for the selling of EVOO.

Design/methodology/approach

A mathematical model is applied to the three price levels (i.e. production, intermediate and selling). It studies the relationship among main variables: purchase cost of olives, the production cost of olive oil, the yield of olives obtained by the technological process and the profit margin. To define the input data, 25 producers of olives and 25 owners of olive oil mills are involved.

Findings

The production of EVOO depends strictly on the production of olives, which typically is subdivided in a year of “high production” and in a year of “low production.” The price of EVOO is subjected to a great variability; however, it is possible to propose a range that varies from €7.0 per liter to €8.7 per liter.

Research limitations/implications

The level of acidity influences significantly the quality of olive oil, and this model has the limit to not analyze the variation of the price in function of this parameter.

Originality/value

This study is the first to propose a pricing model to evaluate EVOO. The literature section supports this assumption.

Details

British Food Journal, vol. 121 no. 8
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 27 May 2014

Fazleena Badurdeen, Mohannad Shuaib, Ken Wijekoon, Adam Brown, William Faulkner, Joseph Amundson, I.S. Jawahir, Thomas J. Goldsby, Deepak Iyengar and Brench Boden

Globally expanding supply chains (SCs) have grown in complexity increasing the nature and magnitude of risks companies are exposed to. Effective methods to identify, model and…

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Abstract

Purpose

Globally expanding supply chains (SCs) have grown in complexity increasing the nature and magnitude of risks companies are exposed to. Effective methods to identify, model and analyze these risks are needed. Risk events often influence each other and rarely act independently. The SC risk management practices currently used are mostly qualitative in nature and are unable to fully capture this interdependent influence of risks. The purpose of this paper is to present a methodology and tool developed for multi-tier SC risk modeling and analysis.

Design/methodology/approach

SC risk taxonomy is developed to identify and document all potential risks in SCs and a risk network map that captures the interdependencies between risks is presented. A Bayesian Theory-based approach, that is capable of analyzing the conditional relationships between events, is used to develop the methodology to assess the influence of risks on SC performance

Findings

Application of the methodology to an industry case study for validation reveals the usefulness of the Bayesian Theory-based approach and the tool developed. Back propagation to identify root causes and sensitivity of risk events in multi-tier SCs is discussed.

Practical implications

SC risk management has grown in significance over the past decade. However, the methods used to model and analyze these risks by practitioners is still limited to basic qualitative approaches that cannot account for the interdependent effect of risk events. The method presented in this paper and the tool developed demonstrates the potential of using Bayesian Belief Networks to comprehensively model and study the effects or SC risks. The taxonomy presented will also be very useful for managers as a reference guide to begin risk identification.

Originality/value

The taxonomy developed presents a comprehensive compilation of SC risks at organizational, industry, and external levels. A generic, customizable software tool developed to apply the Bayesian approach permits capturing risks and the influence of their interdependence to quantitatively model and analyze SC risks, which is lacking.

Details

Journal of Manufacturing Technology Management, vol. 25 no. 5
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 December 2018

Hao-Cheng Huang and Yeng-Horng Perng

Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often…

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Abstract

Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often made to look grandiose and overdecorated. Over time, according to commercial attributes, operator preferences, and style of the designer, commercial spaces have constantly undergone renovation into varied styles. However, the physical renovation processhas caused multiple and composite types of environmental pollution, such as waste and noise pollution caused by breaking of walls or partitions, anddecorative paint pollution, as well as the use of high-energy-consuming lighting equipment, air-conditioning systems, and decorative materials. Global pollution has caused climate change, endangering living organismsand human life. Furthermore, no effective method exists to control the problem of high greenhouse gas emissions. Therefore, this study used energy-saving design concerns of a garden-type commercial space to propose an energy-saving evaluation model. The study combined three methodologies, the Delphi method, analytic hierarchy process, and fuzzy logic theory, to construct a multi-criteria decision support system for designing green commercial spaces, and used the green spatial design of a garden café as an example to illustrate the high objectivity and adaptability of the proposed model in practical application. The study also used an international award-winning case to validate that the proposed model had practical value as a reference to support key design decisions.

Details

Open House International, vol. 43 no. 4
Type: Research Article
ISSN: 0168-2601

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Article
Publication date: 27 October 2020

Binashi Kumarasiri and Piumi Dissanayake

It is no surprise that garbage is not garbage for some. It is money. This is why garbage has been overestimated to a point that money allocated for waste-to-energy (WtE) projects…

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Abstract

Purpose

It is no surprise that garbage is not garbage for some. It is money. This is why garbage has been overestimated to a point that money allocated for waste-to-energy (WtE) projects feed individual pockets. Many countries have already adapted WtE as a successful solution for both energy and waste crisis. Although in Sri Lanka six WtE projects were promised, the government abruptly decided that it would not have any more projects other than the two plants that were under construction. The purpose of this paper is to analyse barriers to the implementation of WtE projects in Sri Lanka.

Design/methodology/approach

An exploratory case study was selected as the research strategy to achieve the research aim. In total, two WtE megaprojects, which have been initiated implementation in Sri Lanka, were used as cases. A total of 12 semi-structured interviews with four personnel from each case and four government officials were used as the data collection technique. Data analysis was carried out using code-based content analysis. The barriers were extracted through analysis of case findings using an abductive analysis. The strategies to mitigate identified barriers were formulated based on attributes highlighted through case study findings and further validated through the opinions of three experts.

Findings

Barriers were analysed using the PESTEL framework to get ample insight into barriers that impact on the implementation of WtE projects in Sri Lanka. Less support from the government due to their less awareness on WtE, high investment and operational cost, lack of expert knowledge on WtE technologies in Sri Lanka, absence of a proper regulatory framework for implementation WtE technologies, lengthy process and delay in getting approvals from government process, poor attitudes of public and their protests due to the less awareness on WtE are the foremost barriers identified in this study. Further, strategies were proposed based on the empirical research findings to overcome barriers to facilitate the successful implementation of WtE projects in Sri Lanka.

Research limitations/implications

So far only two WtE megaprojects have been initiated the implementation in Sri Lanka. Therefore, the scope of the study was limited only to those projects. Moreover, the type of waste considered in this study is municipal solid waste (MSW), which has become a bigger problem in Sri Lanka.

Originality/value

The current study unveils an analysis of barriers for implementation of WtE projects in Sri Lanka, including strategies for mitigating identified barriers. The findings would enable relevant stakeholders, i.e. policymakers, industry practitioners, investors, government bodies and researchers to make informed decisions on implementation of WtE projects and thereby promote successful implementation of WtE projects in Sri Lanka.

Details

Built Environment Project and Asset Management, vol. 11 no. 4
Type: Research Article
ISSN: 2044-124X

Keywords

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