An international university-industry collaboration model to develop supply chain competences

2020 ◽  
Vol 25 (4) ◽  
pp. 475-487 ◽  
Author(s):  
Karla M. Gámez-Pérez ◽  
Ana Maria Sarmiento ◽  
Heriberto Garcia-Reyes ◽  
Josué C. Velázquez-Martínez
Keyword(s):  
Supply Chain ◽  
International Collaboration ◽  
Competence Development ◽  
Scale Model ◽  
Content Type ◽  
Good Practices ◽  
Collaboration Model ◽  
Industry Collaboration ◽  
International University ◽  
University Industry

Purpose The increase in the supply chain complexity demands new professionals who are able to deal with the new challenges faced nowadays. The purpose of this work is to propose an international university–industry collaboration model to develop supply chain management competences in students as a tool for the training of future professionals. Design/methodology/approach This study proposes an international collaboration model to develop supply chain competences. The model consists of three main phases from the genesis of the collaboration to the assessment of the competence development. This study validates the model collaborating with one of the largest retailer companies in Mexico. Findings Results identify collaboration good practices and point at possible improvements for the next model iteration. This study identifies four key supply chain competences as part of this model. Three didactic approaches (i.e. guidance methods) and two student’s involvement schemes were tested. The results show that professors acting as an advisor (i.e. acting as a guider without telling student directly what to do or how to do it) plus a voluntary student’s involvement in the project promote better competence development. Originality/value The first contribution of this research is the definition of an international collaboration model that promotes competence-based education. Also, this study documents good practices for this type of partnership. The second one refers to a large-scale model validation (i.e. 14-week experiment in nine different regions of Mexico involving a retail company, 20 professor-researchers and more than 100 students). The third contribution includes the assessment of different levels of competences development using diverse students’ participation schemes and professor’s guidance methods.

Accelerating supply chain management learning: identifying enablers from a university-industry collaboration

2016 ◽  
Vol 21 (4) ◽  
pp. 470-484 ◽  
Author(s):  
Trish Gibson ◽  
Donald Kerr ◽  
Ron Fisher
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Study Data ◽  
Primary Data ◽  
Chain Management ◽  
Content Type ◽  
Industry Collaboration ◽  
University Industry

Purpose There is an acknowledged need to advance the supply chain management (SCM) learning agenda, with an emphasis on integration. This paper discuss an Australian university–industry collaboration aimed at accelerating SCM learning and offers some insight into models for building a forward-looking SCM. Design/methodology/approach The research is an exploratory case study of the industry–university collaboration, using grounded theory procedures. The primary data involved 25 interviews with key participants from the university and industry partners, and from the first cohort of students in the undergraduate program developed within the collaboration. Findings A theoretical framework for accelerating SCM learning was developed from the case study data; it comprises six constructs that influence, at strategic and operational levels, the acceleration of SCM learning. Four cross-construct concepts from the framework that form the cornerstones of accelerated learning are discussed in some detail. Research limitations/implications The framework facilitates an examination of successes and shortfalls in the case study collaboration and generates a deeper understanding of critical elements for progressing the SCM learning agenda, and expanding SCM education. As with all qualitative research, the results may not be generalisable; testing the relevance and usefulness of the framework with the field will be an important next step. Practical implications As the framework identifies conditions, characteristics and capacities of organisations and individuals that support the acceleration of SCM learning, it can provide assistance in designing future university–industry collaborations for advancing SCM learning. Originality/value The framework identifies critical success factors for alliances and partnerships aimed at accelerating learning in an emerging body of knowledge such as SCM.

The Supply Chain Management Applied Learning Center: A university–industry collaboration

2019 ◽  
Vol 33 (2) ◽  
pp. 135-146
Author(s):  
Gregory E. Benson ◽  
Ngan N. Chau
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Educational Expectations ◽  
The United States ◽  
Learning Center ◽  
Applied Learning ◽  
Chain Management ◽  
Industry Collaboration ◽  
Skill Improvement ◽  
University Industry

In today’s changing and intensely competitive global environment, postsecondary educational programs must find ways to adapt their method of delivery to meet the educational expectations of students and talent needs of “real-world” employers. This is especially true in the evolving field of supply chain management (SCM). The purpose of this qualitative study was to assess the effectiveness of the SCM Applied Learning Center (referred to as the “Center”) at a Midwestern university in the United States by understanding its perceived value through its stakeholders—that is, participating companies and students. This understanding was achieved by interviewing stakeholders who used the Center during its initial 18-month rollout period. The data analysis from this study resulted in the emergence of the following themes: (1) developing transferable skills, (2) accelerating applied learning, (3) cultivating personal relationships, and (4) supporting business improvement. The establishment of the Center and the corresponding results from this study contribute to the literature associated with university–industry collaboration, SCM education, and the evolving role of higher education. This work provides a template to programs interested in improving their working relationship with business partners through the implementation of comparable industry collaboration activities, while at the same time providing skill improvement opportunities for their students.

The role of innovation in the relationship between university–industry collaboration in R&D and ISO 9001

2020 ◽  
Vol 12 (4) ◽  
pp. 365-383
Author(s):  
Hazem Aldabbas ◽  
Ashly Pinnington ◽  
Abdelmounaim Lahrech
Keyword(s):  
Quality Management ◽  
Structural Equation ◽  
High Income ◽  
Iso 9001 ◽  
Content Type ◽  
Income Category ◽  
Industry Collaboration ◽  
High Income Category ◽  
The Relationship ◽  
University Industry

Purpose This study aims to investigate the relationship between university–industry collaboration (U-I-C) in research and development (R&D) and quality management and explore how the relationship is mediated by innovation. Design/methodology/approach Based on panel data consisting of 109 countries spanning over a five year period (2013-2017) this study investigates, through structural equation modelling, how this relationship is mediated by innovation. Findings The main finding is that there are positive significant direct effects between U-I-C and innovation and between innovation and international organization for standardization (ISO) 9001. Furthermore, the strength and significance of these relations are highly affected by the classification of income in these countries, which ranges from high and upper-middle to lower-middle categories. This paper concludes that countries in the high-income category have higher achievement in U-I-C in R&D, innovation and ISO 9001 when compared to the upper and lower-middle-income categories. Originality/value This paper demonstrates in the empirical study the value of collaboration in R&D between government, industry and academia, as it can encourage scientific research and contribute to quality management and innovation. This research is one of the very few studies to assess the country’s income classification effect on U-I-C in R&D, innovation and ISO 9001. It is recommended that more research is conducted on how countries not ranked in the high-income category could benefit from U-I-C in R&D to enhance innovation and quality management.

scholarly journals The role of universities for the change of a network structure in the regional business ecosystem

2018 ◽  
Vol 12 (1) ◽  
pp. 77-89
Author(s):  
Changone Kim ◽  
Sang-Hyeok Park ◽  
Byung-Moon Seol
Keyword(s):  
Chief Executive Officers ◽  
Service Providers ◽  
Chief Executive ◽  
Business Network ◽  
Content Type ◽  
Internal Resources ◽  
Business Ecosystem ◽  
Industry Collaboration ◽  
University Industry

Purpose This paper aims to focus on the changing role of universities in university–industry collaboration (UIC) for enriching the regional business ecosystem network. For this, the authors analyze “Business Clinic Day,” (BCD) a specific UIC program which provides a consulting service for firms, small- and medium-sized enterprises (SMEs) having a specific problem, by a group of facilitators. It includes consultants such as chief executive officers (CEOs), professors and heads of regional public or private service providers. This study illustrates that various types of networks are formed between consultants and problem-owners by facilitation of university after the program. Design/methodology/approach This study has analyzed with social network analysis how the business network was changed from clinic day program. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of “BCD” provided as UIC program. Findings Local SMEs have difficulties in enhancing their competitiveness in the market both in terms of internal resources and networks with external organizations. Thus, universities need to promote university–industry collaboration programs to enable SMEs to strengthen their competitiveness by building networks in local business ecosystems. Originality/value This study throws new highlights on the facilitator role of a university as a network promoter, in addition to the partner as a technology provider, in the regional business ecosystem.

scholarly journals Game-Theory Approach on a University-Industry Collaboration Model

2016 ◽  
Author(s):  
Jing Zhang ◽  
Yongjin Lu ◽  
Zhifu Xie ◽  
Dawit Haile ◽  
Keith Williamson
Keyword(s):  
Game Theory ◽  
Theory Approach ◽  
Collaboration Model ◽  
Industry Collaboration ◽  
University Industry

The influence of researcher competence on university-industry collaboration

2019 ◽  
Vol 11 (2) ◽  
pp. 277-303
Author(s):  
Sew Huey Ting ◽  
Sofri Yahya ◽  
Cheng Ling Tan
Keyword(s):  
Domain Knowledge ◽  
Sampling Technique ◽  
Content Type ◽  
Business Partners ◽  
Structural Relationships ◽  
Industry Collaboration ◽  
Knowledge Transfers ◽  
Entrepreneurial Activities ◽  
The University ◽  
University Industry

Purpose This study aims to discover the influence of researcher competence on University-Industry collaboration via researcher’s domain knowledge. Design/methodology/approach Quantitative data were collected via survey questionnaire by using purposive sampling technique from a total of 121 academicians from all five research universities in Malaysia. PLS-SEM is used to examine multiple structural relationships between the researcher competence, domain knowledge transfers and spillovers and university-industry collaboration. Findings Researcher’s competence serves as a success booster to initiate the collaborative endeavour, and the University-Industry collaboration is found to be substantially influenced by the domain knowledge transfers and spillovers. Research limitations/implications The size of the sample in this study was however constrained by the characteristics and background of the targeted pool of respondents to be generalised to the population of all universities in Malaysia. Practical implications Researcher competence is found to be significant drive to the University-Industry collaboration formation through the development and deployment of domain knowledge transfers and spillovers. Thus, it requires the desire and need for continuous competence development for researchers, and a step change is called for individual principal investigators about extending their leadership across the field of studies and appearing as critical business partners in the University-Industry collaboration. Originality/value The paper contributes to the literature by empirically investigating the influence of researcher competence on the University-Industry collaboration via researcher’s domain knowledge. It attempts to show the researcher’s ability to leverage their competencies in increasing the collaborative endeavour in making out business opportunities, which will eventually influence the public university’s sustainability development. In addition, it proves the importance of researcher’s competence and domain knowledge within the entrepreneurial activities, which serves as the significant drivers to ensure successful University-Industry collaboration.

A collaborative scenario-based decision model for a disrupted dual-channel supply chain

2019 ◽  
Vol 27 (3) ◽  
pp. 933-957 ◽  
Author(s):  
Jafar Heydari ◽  
Amin Aslani ◽  
Ali Sabbaghnia
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Distribution Systems ◽  
Channel Coordination ◽  
Content Type ◽  
Pricing Decisions ◽  
Collaboration Model ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Dual Channel Supply Chain

Purpose Distribution systems usually utilize both traditional retailing channels in conjunction with e-channels. The purpose of this paper is to investigate a dual-channel supply chain, comprising a traditional retailing channel and an e-channel under disruption. By benchmarking against the centralized decision structure, the authors intend to propose a collaboration model to achieve channel coordination as well as more reliable decisions. Design/methodology/approach Four different channel disruption scenarios, with customers’ reaction toward disruptions, are examined, and then, optimal pricing decisions for both centralized and decentralized decision-making structures are extracted. Next, a collaboration mechanism based on the dominancy power of channel members is developed to entice all channel members to participate in channel coordination. By benchmarking the proposed collaboration model against both the decentralized/centralized structures a win–win solution is guaranteed for all channel members. In addition, the proposed model ensures more reliable decisions than the centralized structure, as it guarantees less fluctuated income levels. Findings This study shows, as the disruption probability grows, the channel profit decreases while the channel-retailing price increases. Furthermore, the exact alignment of the centralized decision-making approach and the proposed collaboration model is not achievable due to the problem infeasibility. Numerical experiments and sensitivity analyses benchmark the performance of the proposed collaboration mechanism against the centralized structure for the full alignment with centralized decision-making approach. Originality/value This study contributes to the channel conflict literature as jointly considers pricing decisions, disruptions and coordination. Further, consumers’ reaction toward disruption is analyzed through a transshipment agreement.

An Ontology-based Bayesian network modelling for supply chain risk propagation

2019 ◽  
Vol 119 (8) ◽  
pp. 1691-1711 ◽  
Author(s):  
Shoufeng Cao ◽  
Kim Bryceson ◽  
Damian Hine
Keyword(s):  
Supply Chain ◽  
Bayesian Network ◽  
Customer Value ◽  
Large Scale ◽  
Table Grape ◽  
Scale Model ◽  
Management Approach ◽  
Network Modelling ◽  
Content Type ◽  
The Impact

Purpose Supply chain risks (SCRs) do not work in isolation and have impact both on each member of a chain and the performance of the entire supply chain. The purpose of this paper is to quantitatively assess the impact of dynamic risk propagation within and between integrated firms in global fresh produce supply chains. Design/methodology/approach A risk propagation ontology-based Bayesian network (BN) model was developed to measure dynamic SCR propagation. The proposed model was applied to a two-tier Australia-China table grape supply chain (ACTGSC) featured with an upstream Australian integrated grower and exporter and a downstream Chinese integrated importer and online retailer. Findings An ontology-based BN can be generated to accurately represent the risk domain of interest using the knowledge and inference capabilities inherent in a risk propagation ontology. In addition, the analyses revealed that supply discontinuity, product inconsistency and/or delivery delay originating in the upstream firm can propagate to increase the downstream firm’s customer value risk and business performance risk. Research limitations/implications The work was conducted in an Australian-China table grape supply chain, so results are only product chain-specific in nature. Additionally, only two state values were considered for all nodes in the model, and finally, while the proposed methodology does provide a large-scale risk network map, it may not be appropriate for a large supply chain network as it only follows the process flow of a single supply chain. Practical implications This study supports the backward-looking traceability of risk root causes through the ACTGSC and the forward-looking prediction of risk propagation to key risk performance measures. Social implications The methodology used in this paper provides an evidence-based decision-making capability as part of a system-wide risk management approach and fosters collaborative SCR management, which can yield numerous societal benefits. Originality/value The proposed methodology addresses the challenges in using a knowledge-based approach to develop a BN model, particularly with a large-scale model and integrates risk and performance for a holistic risk propagation assessment. The combination of modelling approaches to address the issue is unique.

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