The Digital Supply Chain of the Future: Technologies, Applications and Business Models Minitrack

Permanent URI for this collection

https://hdl.handle.net/10125/42513

After decades of relative stability it seems that the cost-cutting and problem-solving potential of the lean philosophy reaches its limits in many supply chains. Today, the economic environment is changing rapidly. Supply chains have to cope with increasingly dynamic customer demands and a broad variety of external disturbances. More flexibility and agility are needed, processes have to be accelerated and made transparent or visible in order to enhance supply chain responsiveness. Smart products in combination with innovative data-driven supply chain services pave the way for a paradigm shift in supply chain management, leading to more self-organizing and self-optimizing systems. Due to the inherent transfer of decision-making processes to the product itself, a product- centric view is necessary. In this minitrack we focus on how smart products and cyber-physical systems in combination with mobile and cloud computing, digital social networks, and big data analytics can contribute to the digital supply chain of tomorrow. In addition, the impacts of digitization efforts on firms and supply chains are considered from a management and business perspective.

Digitization in general is expected to play an increasingly important role for global supply chains. The reasons for this include: the shift in values from the physical artefact to the data created by smart products, the emerging importance of services, the displacement of industry borders, the radical change of competitive structures, the transformation of business models and, at the end of the day, the symptomatic creative destruction of established structures and behavior patterns. This minitrack provides an outlet for all research focused on digitization of supply chains, on corresponding applications and emerging technologies.

We welcome research in progress or completed research papers that address technological aspects, applications, use cases, theories, and models as well as other critical issues, including but not limited to:

Analytics of industry-related sensor data and social media data
Data-driven applications to support the realization of agile supply chains
Innovative smart services for the customer based on smart products
Mobile solutions for white and blue collar workers
Impacts of digitization on decision behavior in industrial companies
Effects of product virtualization on supply chains
Business models to support smart object based problem solutions
Methodologies, models, frameworks to support digital transformation
Regulatory, privacy, and security issues with smart products and services
Analysis of drivers and barriers for the digital transformation in industry
Maturity models for digital transformation in the industrial sector
Analysis of digitization strategies in different industrial branches
Effects of digitization on cooperation behavior
Relationship between corporate culture and digital transformation
Impacts of digitization on organizational, structural and process design
Technological trends related to Cyber-Physical Systems
Complementary innovations for and architectures of smart product based solutions
Impacts of digitization on product and service offerings
Relationship between digitization and value creation
Impacts of digitization on decision-making structures
Impacts of smart products/services on consumer behaviors
Cross-country analysis of digitization of products and services

Minitrack Co-Chairs:

Alexander Pflaum (Primary Contact)
Otto-Friedrich University, Germany
Email: alexander.pflaum@uni-bamberg.de

Freimut Bodendorf
University of Erlangen-Nürnberg
Email: freimut.bodendorf@fau.de

Günter Prockl
Copenhagen Business School, Denmark
Email: gp.om@cbs.dk

Haozhe Chen
Iowa State University
Email: hzchen@iastate.edu

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Now showing 1 - 6 of 6

Toward Understanding the Dynamics of Bidder Behavior in Continuous Combinatorial Auctions: Agent-Based Simulation Approach
(2017-01-04) Mahdavi Adeli, Ali; Adomavicius, Gediminas; Gupta, Alok
Combinatorial auctions represent sophisticated market mechanisms that are becoming increasingly important in various business applications due to their ability to improve economic efficiency and auction revenue, especially in settings where participants tend to exhibit more complex user preferences and valuations. While recent studies on such auctions have found heterogeneity in bidder behavior and its varying effect on auction outcomes, the area of bidder behavior and its impact on economic outcomes in combinatorial auctions is still largely underexplored. One of the main reasons is that it is nearly impossible to control for the type of bidder behavior in real world or experimental auction setups. We propose an agent-based modeling approach to replicate human bidder behavior in continuous combinatorial auctions and leverage our agents to simulate a wide variety of competition types, including experimentally unobserved ones that could not otherwise be studied. The capabilities of the proposed approach enable more comprehensive studies (via richer controlled experiments) of bidding behavior in the complex and highly dynamic decision environment of continuous combinatorial auctions.
Toward the Development of a Maturity Model for Digitalization within the Manufacturing Industry’s Supply Chain
(2017-01-04) Klötzer, Christoph; Pflaum, Alexander
The aim of this paper is the scientific development of a maturity model concerning the digital transformation of companies within the manufacturing industry’s supply chain. The rather “broad” and dispersed “mega-trend” of digitalization is expected to play an increasingly important role for companies as well as for the (digital) supply chain of the future. Such a model comprises the objective of addressing fundamental components, complementary innovations and relevant terminologies, like smart products, Cyber-Physical Systems (CPS) and Big Data Analytics. Scientific rigor is achieved through conducting grounded theory research and in-depth interviews as methods of data collection and evaluation. Furthermore, relevant aspects concerning the development and construction of maturity models are discussed, before a suitable and scientifically elaborated maturity model concerning digitalization emerges from the course of investigation and its value for economic practice as well as for the scientific community is specified.
The Impact of Digitization on Product Offerings: Using Direct Digital Manufacturing in the Supply Chain
(2017-01-04) Swanson, David
To remain competitive, supply chain managers must constantly improve their processes and react to ever-growing and evolving customer preferences in a changing business environment. However, many companies have reached diminishing returns for many of their business processes. Digitization has begun to change product offerings and these changes could be the next great source of competitive advantage for supply chain managers. This research uses a demand supply integration framework to examine direct digital manufacturing (DDM) applications being used to change product delivery to consumers. To test hypotheses, press announcements were collected and analyzed with content analysis. We find that, of the implementations of DDM for delivering products to consumers using digitization, 61% are demand-side focused innovations, 39% are supply-side focused innovations, and 9% are both demand-supply integrated innovations.
Examining Drivers of Consumer Returns in E-Tailing with Real Shop Data
(2017-01-04) Asdecker, Bjoern; Karl, David; Sucky, Eric
Returns management – an important component of supply chain management – is a key aspect of online retailers’ business models. Despite increasing interest in this issue, few studies have published empirical results on the drivers of consumer returns in e-tailing. Because this knowledge is essential to enabling better decisions about return flows, we explored an extensive dataset from an online apparel retailer using linear and logistic regression models. This approach distinguishes our study from other empirical work, which is usually based on survey methods. Before the data analysis, previously untested hypotheses were formulated using established theories and anecdotal information.
Digital Supply Chain Transformation toward Blockchain Integration
(2017-01-04) Korpela, Kari; Hallikas, Jukka; Dahlberg, Tomi
Digital supply chain integration is becoming \ increasingly dynamic. Access to customer demand \ needs to be shared effectively, and product and service \ deliveries must be tracked to provide visibility in the \ supply chain. Business process integration is based on \ standards and reference architectures, which should \ offer end-to-end integration of product data. \ Companies operating in supply chains establish \ process and data integration through the specialized \ intermediate companies, whose role is to establish \ interoperability by mapping and integrating companyspecific \ data for various organizations and systems. \ This has typically caused high integration costs, and \ diffusion is slow. This paper investigates the \ requirements and functionalities of supply chain \ integration. Cloud integration can be expected to offer \ a cost-effective business model for interoperable \ digital supply chains. We explain how supply chain \ integration through the blockchain technology can \ achieve disruptive transformation in digital supply \ chains and networks.
Introduction to The Digital Supply Chain of the Future: Technologies, Applications and Business Models Minitrack
(2017-01-04) Pflaum, Alexander; Bodendorf, Freimut; Prockl, Günter; Chen, Haozhe

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