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2023/2024  DIP-DSCHO1008U  The Digital Supply Chain

English Title
The Digital Supply Chain

Course information
Language English
Course ECTS 5 ECTS
Type Mandatory
Level Graduate Diploma
Duration One Semester
Start time of the course Summer
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 60
Study board
Study Board for Graduate Diploma in Business Administration (part 2)
Course coordinator
  • Günter Prockl - Department of Digitalisation (DIGI)
Study administration for HD SCM: HDSCM@cbs.dk
Main academic disciplines
  • Information technology
  • Supply chain management and logistics
Teaching methods
  • Face-to-face teaching
Last updated on 13-06-2023

Relevant links
Learning objectives
Classic supply chain models have been around for decades, and IT systems have always been a factor and key enabler in their continued evolution. The course's major intention is to equip students with a sound understanding of the involvement of digital technologies within the field of supply chain management and logistics services and the application of related skills and instruments for their evaluation. The course will provide knowledge about:
- Processes involved in planning, developing, and realizing new business models in supply chain and logistics.
- The disruptive impact of new IT technologies related to the digital transformation of supply chains.
- IT applications for logistics services within a global supply chain.

The goals of this course in relation to what the students will achieve on completion are that:
  • Students can analyze supply chains from an IT perspective;
  • Students will be able to observe the digital evolution of supply chains;
  • Students can distinguish the roles of different actors within the related service ecosystems.
  • Students will be able to observe and compare the traditional business models with the new ones from a supply chain and logistics perspective.
  • The students acquire necessary skills for the ability to assess and criticize key practices of how IT and new business models can support a sustainable supply chain and logistics processes.
  • The students acquire necessary skills for the ability to manage Information Technology (IT) and Information Systems (IS) based development of supply chains.
Examination
The Digital Supply Chain:
Exam ECTS 5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Release of assignment Subject chosen by students themselves, see guidelines if any
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer and Spring, For information relating to the exam please go to: https://eksamen.cbs.dk/
Make-up exam/re-exam
Same examination form as the ordinary exam
For information relating to the exam please go to: https://eksamen.cbs.dk/
Description of the exam procedure

Students will be presenting a maximum of 10-page individual written assignment. The topic of this assignment will be the assessment of a potential business model related to a digital application in supply chain and logistics. Students will decide on a hypothetical or a real case analyzing the effects and implications on supply chain and logistics. Students are expected to apply instruments learned in the course to show the impact of these new IT and business models on the supply chain.
Course content, structure and pedagogical approach

The course consists of 24 lessons in total (5 ECTS) Lectures (internal/external), classroom dialogue, case studies, group work, and presentations. The course may use external lecturers and field experts in order to make the teaching activities as exciting and eventful as possible. Information technology will be used to substantiate the teaching activities, and an international perspective is added.
 

The course starts with a generel introduction into the context of digital supply chains and related instruments for digital technology assessments, 

The succeeding lessons are then divided into two main parts. In the first section, students will be presented a specific technology that is potentially changing the supply chain and logistics processes.
 

In the second section, students will discuss the potential of the technology and learn to work with appropriate instruments and models to assess the impact of the technologies on supply chains.

 

Lessons will also be supported by cases and corporate presentations to show actual implementations of the technologies presented throughout the course.

 
Description of the teaching methods
The course utilizes face-to-face teaching supported with a blended learning approach. The students are expected to be prepared in advance to each in-class session by reading the course materials which include online materials, videos, and business cases.
Feedback during the teaching period
Office hours for feedback
Hands-on-excercises with direct feedback in class
Blended learning elements providing feedback
Lesson dedicated to feedback
Student workload
Teaching 24 hours
Preparation of lectures, readings, synopsis and exam 114 hours
Further Information

The course consists of a total of 24 lessons (5 ECTS).

 

For information relating to the course please go to: canvas.cbs.dk

 

For further information, please contact the Department of Operations Management 

 

Course Coordinator: Günter Prockl gp.digi@cbs.dk

Programme Administrator: Gitte Østergaard goe.om@cbs.dk
 
Expected literature

Adner, Ron, Ecosystem as Structure: An Actionable Construct for Strategy, Journal of Management, 43(2017)1, 39-58. http:/​/​10.1177/​0149206316678451

Andersson, J.; Jonsson, P. (2018), Big data in spare parts supply chains: The potential of using product-in-use data in aftermarket demand planning, International Journal of Physical Distribution & Logistics Management, 48(2018)5, 524-544. https:/​/​doi.org/​10.1108/​IJPDLM-05-2015-0137

Arunachalam, D.; Kumar, N.; Kawalek, J.: Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice, in: Transportation Research Part E: Logistics and Transportation Review, 114(2018), p. 416-436. https:/​/​doi.org/​10.1016/​j.tre.2017.04.001

Chen, S.;  Yang, O. , Cho, T.: Developing SCM framework associated with IT-enabled SC network capabilities, in: International Journal of Physical Distribution & Logistics Management, 47(2017)9, 820-842.,  https:/​/​doi.org/​10.1108/​IJPDLM-08-2016-0217

Cottrill, K.: The Benefits of Blockchain: Fact or Wishful Thinking, in: Supply Chain Management Review, 22(2018)1, p. 20-25.

Fenn, J.; Raskino, M.; Burton, B.: Understanding Gartner's Hype Cycles, in: https:/​/​www.gartner.com/​imagesrv/​books/​pdf/​mastering_hype_cycle_excerpt.pdf, January 2013. 

Gang Wang, Angappa Gunasekaran, Eric W.T. Ngai, Thanos Papadopoulos, Big data analytics in logistics and supply chain management: Certain investigations for research and applications, International Journal of Production Economics, Volume 176, 2016, Pages 98-110, ISSN 0925-5273, https:/​/​doi.org/​10.1016/​j.ijpe.2016.03.014.

Garrett, Ronnie: HOW BLOCKCHAIN IS TRANSFORMING THE SUPPLY CHAIN, in: Supply & Demand Chain Executive, 18(2017)2, S. 10-14.

Hannah, D.; Eisenhardt, K.: How firms navigate cooperation and competition in nascent ecosystems, in: Strategic Management Journal. Preprint. https://doi.org/10.1002/smj.2750

Hartley, J., Sawaya, W.: Tortoise, not the hare: Digital transformation of supply chain business processes, in: Business Horizons, 62(2019), 707-715. https:/​/​doi.org/​10.1016/​j.bushor.2019.07.006

Hill, M. (2017). How rural areas benefit from the Uberisation of the supply chain. Logistics & Transport Focus, 19(2), 30.

Ittmann, Hans W.. The impact of big data and business analytics on supply chain management. Journal of Transport and Supply Chain Management, may 2015. https:/​/​doi.org/​10.4102/​jtscm.v9i1.165.

Jonsson, Patrik; Kjellsdotter, Linea; Rudberg, Martin: Applying advanced planning systems for supply chain planning: three case studies, in: International Journal of Physical Distribution & Logistics Management, 37(2007)10, 816-834.

Klötzer, C.; Pflaum, A.: Toward the development of a maturity model for digitalization within manufacturing industry's supply chain, in: Proceedings of the 50th Hawaii International Conference on System Sciences | 2017, Waikoloa, January 2017. https:/​/​pdfs.semanticscholar.org/​e62a/​75a1c1aa3c69eb7738199f51a21ef8b4901f.pdf

Osterwalder, Alexander; Pigneur, Yves; Tucci, Christopher: Clarifying Business Models: Origins, Present, and Future of the Concept, in: Communications of AIS, Volume 15 2005, 1-25.

Papert, M.; Pflaum, A: Development of an Ecosystem Model for the Realization of Internet of Things (IoT) Services in Supply Chain Management, in: Electronic Markets, 27(2017)2, 175-189. https:/​/​doi.org/​10.1007/​s12525-017-0251-8

Porter, Michael; Heppelmann, J., How Smart, Connected Products Are Transforming Competition, Harvard Business Review, 92(2015)11, 64-88.

Prockl, G.; Pflaum, A.; Papert, M.: Exploiting Supply Chain Visibility - Propositions Regarding Value Creation, Delivery and Capturing, in: Proceedings of the 34st NOFOMA, annual conference, Rejkjavik, June 2022. Full Paper Id 101.

Prockl, G.; Roeck, D.; Jensen, T.; Mazumdara, S.; Mukkamala, R.: Beyond Task-technology Fit: Exploring Network Value of Blockchain Technology Based on Two Supply Chain Cases, in: Proceedings of the 55th HICSS Conference. Hawaii, 2022.

Prockl, Günter; Bhakoo, Vikram; Wong, Christina: Supply chains and electronic markets - impulses for value co-creation across the disciplines, in: Electronic Markets, 27(2017)2, 135-140. https:/​/​doi.org/​10.1007/​s12525-017-0253-6.

Rong, Ke; Hu, Guangyu; Lin, Yong; Shi, Yongjiang; Guo, Liang: Understanding business ecosystems using a 6C framework in Internet-of-Things-based sectors, in: International Journal of Production Economics, 159(2015), 41-55. http:/​/​dx.doi.org/​10.1016/​j.ijpe.2014.09.003

Rudtsch, V.; Gausemeier, J.; Gesing, J.; Mittag, T.; Peter, S: Pattern-based Business Model Development for Cyber-Physical Production Systems, in: Procedia CIRP 25. 10.1016/​j.procir.2014.10.044

Sanders, Nada; Swink, Morgan: DIGITAL SUPPLY CHAIN TRANSFORMATION: VISUALIZING THE POSSIBILITIES, in: Supply Chain Management Review,  Jan2019, Vol. 23 Issue 1, p 30-41 http:/​/​esc-web.lib.cbs.dk/​login?url=https:/​/​search.ebscohost.com/​login.aspx?direct=true&db=bth&AN=134295272&login.asp&site=ehost-live&scope=site

Schramm, H.; Prockl, G.; Kolar, P.: About Claims and Realities of Digitization in Current Maritime Transportation Chains, in: IAME 2017 CONFERENCE | KYOTO, JAPAN; Paper ID 228; June 27-30, Kyoto, Japan.

Sternberg, H.; Denizel, DM.: Toward the Physical Internet—Logistics Service Modularity and Design Implications, Journal of Business Logistics. March 2021, Vol. 42 Issue 1, p144-166. 23p, https:/​/​doi.org/​10.1111/​jbl.12261

 
Last updated on 13-06-2023