Do Consumers Care About Companies’ Efforts in Greening Supply Chains? Analyzing the Role of Protected Values and the Halo Effect in Product Evaluation

Abstract The role of the breed association has historically been to keep a registry of a pure breed, aggregate the performance data surrounding that one breed, develop breeding and selection tools, and conduct breed promotion. Larger associations have been able to augment that with operating magazines and other media, running branded beef programs, feeder calf marketing programs, and genetic evaluation for other breeds. The relevance of breed associations is being and will continue to be challenged as genomics and large commercial databases develop and allow for breeding and selection tools to be developed independently by large breeders or private entities. Gene editing and other such technology will also challenge the traditional seedstock models and opens the door for proprietary genetic lines. Breed associations may need to modify their traditional policies to incorporate these innovations. Supply chains will continue to become far more sophisticated and will incorporate more genetic information to guide management decisions and potentially validate brand promises around sustainability. To stay relevant, breed associations of the future will need to do the following: Balance the needs of diverse membership (show, hobby, lifestyle, etc.) with commercial industry value and significance. Have access to large amounts of data and be leaders in adopting the most current technologies. Deliver tools for breeders that enhance the profitability of commercial producers – identify optimum production levels vs maximum outputs. Work collaboratively with multiple supply chains providing the needed genetic information. Be a significant educational resource to breeders and commercial producers. Be a leader in research on breed improvement and genetic advancement. Have value-added programs that create real and sustained pull-through demand for the end product.

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The Role of Imagination-Focused Visualization on New Product Evaluation

Journal of Marketing Research ◽

10.1509/jmkr.46.1.46 ◽

2009 ◽

Vol 46 (1) ◽

pp. 46-55 ◽

Cited By ~ 76

Author(s):

Min Zhao ◽

Steve Hoeffler ◽

Darren W. Dahl

Keyword(s):

New Product ◽

Product Evaluation

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Role of information technology and collaboration in reverse logistics supply chains

International Journal of Logistics Research and Applications ◽

10.1080/13675560701694499 ◽

2008 ◽

Vol 11 (6) ◽

pp. 409-425 ◽

Cited By ~ 44

Author(s):

Vaidyanathan Jayaraman ◽

Anthony D. Ross ◽

Anurag Agarwal

Keyword(s):

Information Technology ◽

Supply Chains ◽

Reverse Logistics ◽

Role Of Information

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AI technologies and their impact on supply chain resilience during COVID-19

International Journal of Physical Distribution & Logistics Management ◽

10.1108/ijpdlm-12-2020-0434 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sachin Modgil ◽

Shivam Gupta ◽

Rébecca Stekelorum ◽

Issam Laguir

Keyword(s):

Artificial Intelligence ◽

Supply Chain ◽

Information Processing ◽

Supply Chains ◽

Failure Modes ◽

Stress Test ◽

Weak Links ◽

Content Type ◽

Supply Chain Resilience

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

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