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2019/2020  DIP-DHDVV7003U  IT and New Business Models in Supply Chain and Logistics

English Title
IT and New Business Models in Supply Chain and Logistics

Course information
Language English
Course ECTS 5 ECTS
Type Elective
Level Graduate Diploma
Duration One Semester
Start time of the course Autumn
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
Study administration for GD SCM: HDSCM@cbs.dk
Main academic disciplines
  • Information technology
  • Supply chain management and logistics
Teaching methods
  • Blended learning
Last updated on 14-03-2019

Relevant links
Learning objectives
The course's major intention is thus to equip students with a sound understanding of IT involvement on processes and key business challenges in the field of supply chain management and logistics services and the related skills and instruments.

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; Classical supply chain models have been around for decades, and the introduction of IT systems have helped them and will continue to support them evolve.
- Students will be able to observe this evolution from the IT perspective.
- Students can distinguish the roles of different actors within the 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.

As new business models change the way companies do business, the effects on the current supply chain and logistics processes are observed through some essential practices even though most of them are in the infancy phase.

The following skills will be imparted:
-Ability to assess and criticise key practices of how IT and new business models can support a sustainable supply chain and logistics processes.
-Ability to manage Information Technology (IT) and Information Systems (IS) based development of supply chains.
Examination
IT and New Business Models in Supply Chain and Logistics:
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
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Autumn, Ordinary exam: 28.11.19
Information about the exam can be found here: My.cbs.dk.
Make-up exam/re-exam
Same examination form as the ordinary exam
Retake date: TBA
Information about the exam can be found here: My.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 investigation of new business models and usage of IT 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 uses 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 lessons are divided into two main parts. In the first section, students will be presented a new technology that is changing the supply chain and logistics processes.
 

In the second section, students will discuss the new disruptive technology and learn to work with appropriate instruments and models to assess the impact of the technologies.

 

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 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
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).


Teaching is Wednesdays from 18:05 to 20:40 in weeks 39-41 and 43-47. In weeks

There is no teaching in week 42.

 

For further information, please contact the Department of Operations Management 
Programme Administrator: Pernille Nielsen pen.om@cbs.dk
Course Coordinator: Günter Prockl gp.om@cbs.dk
Expected literature
  • 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. 
  • Gallimore, H. (2015). Disruptive technology: tomorrow's supply chain today. Logistics & Transport Focus, 17(11), 34-37.
  • Garrett, Ronnie: HOW BLOCKCHAIN IS TRANSFORMING THE SUPPLY CHAIN, in: Supply & Demand Chain Executive, 18(2017)2, S. 10-14.
  • Hill, M. (2017). How rural areas benefit from the Uberisation of the supply chain. Logistics & Transport Focus, 19(2), 30.
  • INTTRA,: THE PATH TO AN INTELLIGENT SUPPLY CHAIN, in: Whitepaper, WWW.INTTRA.COM.
  • Morley, H. R. (2017). SUPPLY CHAIN DISTRUPTERS?. Journal Of Commerce (1542-3867), 18(9), 38.
  • 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.
  • Prockl, Günter; Pflaum, Alexander: A Business Model Framework for Supply Chain Visibility - Value, Architecture and Development of IoT Technologies, in: Nofoma Conference, Molde Norway, June 2015.
  • Arunachalam, D.; Kumar, N.; Kawalek, J.: Understanding big data analytics capabilities in supply chainmanagement: 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
  • 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.
  • 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
  • Ittmann, Hans W.. The impact of big data and business analytics on supply chain management. Journal of Transport and Supply Chain Management, [S.l.], v. 9, n. 1, p. 9 pages, may 2015. ISSN 1995-5235, 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, S. 816-834. https:/​/​doi.org/​10.1108/​09600030710848932
  • 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
  • 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, S. 175-189. https:/​/​doi.org/​10.1007/​s12525-017-0251-8
  • 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, S. 135-140. https:/​/​doi.org/​10.1007/​s12525-017-0253-6.
  • Prockl, Günter; Pflaum, Alexander; Kotzab, Herbert: 3PL factories or lernstatts? Value-creation models for 3PL service providers, in: International Journal of Physical Distribution & Logistics Management, 42(2012)6, 544-561. https:/​/​doi.org/​10.1108/​09600031211250587
  • 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), S. 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
  • Sternberg, H.; Norrman, A.: The Physical Internet - Review, analysis and future research agenda, in: International Journal of Physical Distribution & Logistics Management, 47(2017)8, S. 736-762. https:/​/​doi.org/​10.1108/​IJPDLM-12-2016-0353
Last updated on 14-03-2019