scholarly journals Exploring Innovation Ecosystem from the Perspective of Sustainability: Towards a Conceptual Framework

2019 ◽  
Vol 5 (3) ◽  
pp. 48 ◽  
Author(s):  
Liu ◽  
Stephens
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Industrial Revolution ◽  
Empirical Studies ◽  
Ecological Crisis ◽  
Supply Chain Collaboration ◽  
Innovation Ecosystem ◽  
Firm Level ◽  
Technology Advancement ◽  
The Impact

With technology advancement, industrial revolution 4.0, businesses nowadays are in competition in terms of product, service and business model innovation. Meanwhile, the emergent socio-ecological crisis is making it increasingly important to identify the impact of business on environment and the society. To date, much literature has explored how sustainability might be achieved through firms’ internal research and development, and supply chain collaboration. However, issues such as how different stakeholders including customers, partners, government, and universities can be involved, forming innovation ecosystem in a sustainable way is under-explored. This paper aims to provide connection between innovation and sustainability, through literature review and exploratory case studies. A conceptual framework is generated starting from firm/intra-firm level, to supply chain/inter-firm level, and towards ecosystem level. With emerging themes of innovation from sustainability perspective proposed, the framework can be enriched and validated through future empirical studies.

An analysis of supply chain issues relating to information flow during the automotive product development

2015 ◽  
Vol 26 (8) ◽  
pp. 1158-1176 ◽  
Author(s):  
Nikolaos Madenas ◽  
Ashutosh Tiwari ◽  
Christopher Turner ◽  
Sophie Peachey
Keyword(s):  
Supply Chain ◽  
Product Development ◽  
Information Flow ◽  
Empirical Studies ◽  
Multinational Companies ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Inadequate Information ◽  
The Individual ◽  
Number Of Customers

Purpose – The purpose of this paper is to identify measure and prioritise the perceived importance of supply chain issues within the automotive industry related to information flow during product development (PD). Design/methodology/approach – This study analyses empirical data captured from semi-structure interviews with 15 multinational companies operating in the automotive sector. Data collected are analysed using a standard methodology identified from the literature. The individual issues captured are classified against 14 clusters that represent the core and the fundamental supply chain issues of information flow. Findings – This study showed that half of the issues captured are related to the inadequate information systems used. The cluster that had the majority of individual issues is related to suppliers that are not directly connected with their customers through an enterprise system. However it was identified that two fundamental clusters justify the decision of not being directly connected. Implementing and maintaining multiple enterprise systems can be a big overhead for multinational companies working with a high number of customers. Originality/value – Although several studies have proved the benefits that can be obtained through supply chain collaboration, there are relatively little empirical studies that seek to explore the understanding of supply chain issues in regards to information flow especially during PD. By identifying, measuring and prioritising the importance of supply chain issues this study provides researchers and practitioners guidance in developing better tools and defining more efficient processes.

scholarly journals A Model for understanding supply chain networks

2005 ◽  
Vol 5 (2) ◽  
pp. 55-63 ◽  
Author(s):  
Carlos Brito ◽  
Catarina Roseira
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Supply Management ◽  
Organisational Performance ◽  
Supplier Relationships ◽  
Supply Chain Networks ◽  
The Impact ◽  
The Way

Organisational performance tends to be highly dependent on suppliers' actions and on the way the relationships with them are managed by the buying company. Researchers have conducted extensive and valuable studies on the impact of supplier relationships in a network context. However, some important issues regarding supply management and its effects on the strategy of the buying firm have not been fully investigated. This article presents a model of supply chain networks developed on the basis of the conceptual framework of the IMP group. The aim is to contribute toward a better understanding of supply management through the integration of both relational, portfolio and network issues.

Supply chain collaboration performance metrics: a conceptual framework

2011 ◽  
Vol 18 (6) ◽  
pp. 856-872 ◽  
Author(s):  
Usha Ramanathan ◽  
Angappa Gunasekaran ◽  
Nachiappan Subramanian
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Performance Metrics ◽  
Supply Chain Collaboration

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.

Application of Data Envelopment Analysis and Key Characteristics of Greek Agro-Firms

2015 ◽  
Vol 6 (2) ◽  
pp. 31-39 ◽  
Author(s):  
Christos Lemonakis
Keyword(s):  
Agricultural Sector ◽  
Empirical Studies ◽  
Data Envelopment ◽  
Firm Level ◽  
Efficiency Assessment ◽  
Time Period ◽  
Key Characteristics ◽  
The Government ◽  
Financial Characteristics ◽  
The Impact

The purpose of this study is to investigate key characteristics for the competitiveness in Greek agro-firms during the time period 2004 to 2011, based on firm level financial data. The study attempts to determine the firms' efficiency as well as the impact of exporting activity in agro-firms competitiveness, and more specifically in fisheries, farms with livestock and farms with fruits, vegetables and cereals. Although many empirical studies have been conducted relative to manufacturing firms' financial characteristics, limited research exists on agro-food firms. The use of DEA method seems to be a very useful tool for efficiency assessment and identification of best practices in firms' management for both managers and the Government as well in order to facilitate the growth of the agricultural sector.

Understanding Supply Chain Collaboration and Risk Management

2020 ◽  
pp. 44-56
Author(s):  
Adenike Aderonke Moradeyo
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Social Network ◽  
Network Theory ◽  
Empirical Studies ◽  
Social Network Theory ◽  
Management Tool ◽  
Supply Chain Risk Management ◽  
Supply Chain Collaboration ◽  
Supply Chain Risk

Social network theory is an appropriate theory for understanding the relationships among the different parties in the supply chain. This article adopts the conceptual-theory framework to introduce arm's-length and close ties concepts into the field of supply chain risk management. The theoretical paradigm of social network theory is used to develop a framework and propositions for future empirical studies. Specifically, this conceptual article uses the idea of the social network theory to propose the need for firms to incorporate both the close and arm's-length ties in their supply chains. This approach of combining the two forms of ties as a composite tie within a supply chain could serve as an important supply chain risk management tool in relation to supply chain disruption and its mitigation, because of the synergistic benefits.

Antecedents to supply chain innovation

2020 ◽  
Vol 31 (1) ◽  
pp. 145-171
Author(s):  
Fatma Nur Karaman Kabadurmus
Keyword(s):  
Supply Chain ◽  
Empirical Studies ◽  
Business Environment ◽  
Innovation Activity ◽  
Market Reforms ◽  
Sustainable Supply Chain ◽  
Firm Level ◽  
Middle Income ◽  
Content Type ◽  
Innovation Activities

PurposeThe purpose of this study is to examine organizational and environmental (competition, capital scarcity and organization of labor) factors that affect firms' innovation activities within the supply chain.Design/methodology/approachThis study empirically examines the factors that affect firms' innovation activities using firm-level data from the last round of Business Environment Enterprise Performance Surveys (BEEPS). The analysis covers major supply chain functions: production, delivery and support systems.FindingsThe study shows that drivers of innovation vary with the type of innovation activity; as such, innovation efforts across supply chain functions should prioritize strategic resources that will create competitive advantages. Our results also reveal that sustainability efforts in the Eastern Europe and Central Asia (EECA) region should prioritize labor market reforms over capital market reforms.Originality/valueCurrent research on innovation and supply chain issues does not explicitly analyze innovations that occur in different sustainable supply chain functions, and empirical studies that focus on the determinants of innovations in the supply chain network are very limited. The data used in this study cover 30 economies in EECA, many of which are low- and middle-income countries, and thus contribute to the implementation of sustainable practices in developing countries.

The impact of supply chain fit on business and innovation performance in Brazilian companies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Zimmermann ◽  
Luis Miguel D.F. Ferreira ◽  
Antonio Carrizo Moreira ◽  
Ana Cristina Barros ◽  
Henrique Luiz Correa
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Demand Uncertainty ◽  
Supply And Demand ◽  
Empirical Studies ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Impact ◽  
Positive Effect

PurposeThis paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.Design/methodology/approachThe study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.Originality/valueAn analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

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