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The current reference for this work is as follows:
Horst Treiblmaier (forthcoming). “The Impact of the Blockchain on the Supply Chain: A TheoryBased Research Framework and a Call for Action” Supply Chain Management: An International
Journal (accepted 31-July-2018)
If you have any questions, would like a copy of the final version of the article, or would like copies
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1
The Impact of the Blockchain on the Supply Chain: A Theory-Based Research
Framework and a Call for Action
STRUCTURED ABSTRACT
Purpose - This paper strives to close the current research gap pertaining to potential
implications of the Blockchain for SCM by presenting a framework built on four established
economic theories (principal agent theory, transaction cost analysis, resource-based view,
network theory). These theories can be used to derive research questions that are theorybased as well as relevant for the industry. This paper is intended to initiate and stimulate an
academic discussion on the potential impact of the Blockchain and introduces a framework for
middle-range theorizing together with several research questions.
Design/methodology/approach - This paper builds on previous theories that are frequently used
in SCM research and shows how they can be adapted to Blockchain-related questions.
Findings - This paper introduces a framework for middle-range theorizing together with several
research questions.
Research limitations/implications – The paper presents Blockchain-related research questions
derived from four frequently used theories: namely principal agent theory (PAT), transaction
cost theory (TCA), resource-based view (RBV) and network theory (NT). These questions will
guide future research pertaining to structural (PAT, TCA) and managerial issues (RBV, NT) and
will foster middle-range theory development in SCM research.
Practical implications - Blockchain technology has the potential to significantly change SCM.
Given the huge investments by industry, academic research is needed that investigates
potential implications and supports companies. In this paper various research questions are
introduced that illustrate how the implications of Blockchain on SCM can be investigated from
different perspectives.
Originality/value - To the best of our knowledge, no academic papers are published in leading
academic journals that investigate the relationship between SCM and Blockchain from a theorybased perspective.
Keywords: Blockchain, middle-range theorizing, principal agent theory, transaction cost analysis,
resource-based view, network theory
Article Type: Research paper
2
1. Introduction
About two decades ago, the Internet emerged as an unprecedented and highly disruptive
technology that shook the foundations of many established businesses. This upheaval
proliferated throughout many supply chains (SCs) and led to the restructuring of complete
value networks (Yao et al. 2009; Dresner et al. 2001). While the use of network technology to
exchange data electronically (e.g., EDIFACT) had existed long before, it was the widespread
adoption of the Internet for commerce (both B2B and B2C) that heavily impacted supply chains
(Lancioni et al. 2003).
The current Blockchain development somewhat resembles those early days of Internet
adoption, which was slow at first. The roots of the ARPANET, which was an early packet
switching network based on TCP/IP, date back to the end of the '60s. It was not until the
commercial potential of the Internet was fully realized in the '90s that the World Wide Web
yielded many user-friendly applications with both positive and negative implications for
businesses and individuals (Kambil 1995). With widespread adoption, the Internet had a
significant impact on supply chain management by creating electronic marketplaces, helping to
realize cost reductions, increasing productivity, enabling e-procurement, integrating business
processes, and allowing for the creation of customized services (Lancioni et al. 2003). It is now
the Blockchain which offers similar promises, and a rigorous academic investigation is needed
into the extent to which it may help businesses to create value.
The general pattern of interest in the Blockchain exhibits several years of slow adoption
followed by exponential growth starting at the end of 2015 and a spike of the end of 2017,
which was caused by massive public interest in Bitcoin (Google Trends 2018). Similar to the
3
Internet, the Blockchain is not a single technology, but rather operates on a stack of
technologies that includes the Internet as an infrastructure and uses the Blockchain protocol for
storing transaction records and establishing consensus rules. Various applications such as smart
contracts can be operated on the application layer, yet the full range of potential applications is
still unclear (World Economic Forum 2017). Proponents of the Blockchain point out that it
enables the creation of a so- alled I te et of Value Deloitte
, th ough hi h p ope t
rights can be transferred online. This marks a key de elop e t f o
the I te et of
I fo
atio , i
hi h use s a sha e i fo
atio
ut a
ot e p e e ted f o
eati g
infinitely many copies.
The ongoing discussions regarding the potential impact of the Blockchain and lack of research
on this topic notwithstanding, many companies are investing huge sums of money in
Blockchain-based solutions that bear the potential to revolutionize SCs. According to Juniper
Research, which conducted a study amongst 369 company founders, executives, managers and
IT expe ts,
% of espo de ts elie e that the Blo k hai
useful fo thei o pa ,
ould e
e
useful o
uite
% e pe t sig ifi a t i te al dis uptio s, and 51% anticipate
significant disruptions to their partners or customers (Holden and Moar 2017). An IBM study
reports that one-third of organizations are considering or actively engaged with Blockchain
technology, with numbers varying by industry. Using input from 2,965 C-suite executives the
IBM study reports that ea l adopte s e plo e s a e e periencing disruptions in their
industry twice as often as so- alled passi es
likel to dis upt a
a ket o i dust
the sel es
% s.
% a d that e plo e s a e
ha gi g the ules of the ga e
u h
oe
% s.
5%) (IBM 2017, p. 7). The whole Blockchain market size is estimated to grow from USD 210.2
4
million in 2016 to USD 2,312.5 million by 2021, at a compound annual growth rate of 61.5%
(MarketsandMarkets 2016).
The academic relevance of the Blockchain has already been acknowledged for SCM and logistics
(Kshetri 2018). Furthermore, a substantial number of publications in academic conferences and
white papers are already being published which critically investigate the Blockchain (Romano
and Schmid 2017) and its potential applications in the field of SCM / logistics (Hackius and
Petersen 2017; Oakley 2017). In order for academic research to be able to make impactful
contributions that benefit the industry, it is crucial that researchers apply their core
competence of rigorous research methodology to scrutinize Blockchain and its potential
implications on SCM.
The aim of this paper is threefold. First, following the suggestion from McInnis (2011) that
conceptual contributions necessitate the identification, delineation and differentiation of the
particular entity or a domain, this paper seeks to clearly define and delimit the domain
occupied by the Blockchain.
Secondly, in order to demonstrate the applicability of the Blockchain within the field of SCM /
logistics, the basic functionality of the Blockchain is explained to provide some indication of the
Blockchain s potential future impact on supply chains.
Thirdly, the major goal of this paper is the development of a theoretical framework for further
research that allows the derivation of research questions which are based on theory and enable
methodologically rigorous research designs. The framework we elaborate is based on four
widely-used general theories – principal-agent theory, transaction cost analysis, also called
5
transaction cost theory, resource-based view, and network theory) (Halldórsson et al. 2007) –
which can be applied to explore the implications of the Blockchain. The combination of these
four theories allows for the simultaneous consideration of structural as well as managerial
aspects from the perspective of new institutional economics. This framework, which is made up
of research questions pertaining to the respective theories, allows for the further creation of
middle-range theories and propositions that can later be empirically tested, and provides an
initial u de sta di g of the i
e
o ki gs ithi ke
elatio ships “ta k at al.
, p.
. It
will therefore enable researchers to systematically investigate the Blockchain phenomenon and
its potential implications from varying theoretical standpoints. More specifically, it will help to
answer two overarching research questions:
(1) How to structure a supply chain that incorporates the Blockchain?
(2) How to manage a supply chain that incorporates the Blockchain?
Questions regarding how to structure a supply chain (SC) are primarily addressed using PAT and
TCA, while questions about what is needed for managing such structures fall under the domain
of RBV and NT. This paper ends with a brief discussion of theoretical and managerial
implications, and suggestions for future research.
2. The Blockchain: Functioning, Definition, and Impact
Assessment
The basic unit of a Blockchain is a single transaction that involves one or more entities. This
could be a payment process, but might as well be a transfer of information. A cryptographic
hash function, which takes an input and returns an alphanumeric string of fixed length, is used
to create so-called transaction hashes that encode the contents of this transaction. These
6
transaction hashes cannot be used to recreate the original transaction and are visible in case
the Blockchain is public. Several transactions are subsequently combined into one single block,
which in most cases is verified by so-called miners who deploy computing resources that
compete amongst each other to create the next block. If a block is successfully validated, it is
appended to the chain of previous blocks, hence the term Blockchain. A new block is connected
with previous blocks in a way that makes it increasingly hard to remove from the total chain.
The whole process of validating transactions and adding blocks in a public Blockchain is fully
distributed such that no single controlling authority exists (Nakamoto 2008; Raval 2016).
Sophisticated procedures exist to circumvent fraud (e.g., double spending) which is why it is
sometimes written that the Blockchain leads to trustless consensus. An important characteristic
of Blockchains is their resistance to the modification of data. Transactions on the Blockchain
cannot be later modified or removed due to the linking of the blocks together. The longer the
chain, the harder it is to make modifications in previous blocks, and thus the higher the level of
trust (Narayanan et al. 2016).
We thus define the Blockchain as a digital, decentralized and distributed ledger in which
transactions are logged and added in chronological order thus creating permanent and tamperproof records.
Decentralization refers to a situation whereby no single entity controls transaction processing,
while distribution relates to the computational work that is divided between several
computers. Distributed Ledger Technology (DLT) is a broad term which describes all
technologies that distribute information across multiple sites, countries or institutions, and
7
which includes the Blockchain. If a dedicated group of owners or users exists, the ledger is
permissioned and private (e.g., a clearing or settlement network). If the usage is public, but the
integrity is maintained by trusted ledger owners, it is called a permissioned, public shared
ledger (e.g., a global financial transactions system). Finally, if the integrity is ensured by the
users themselves through untrusted consensus, this is called an unpermissioned public shared
ledger (e.g., a cryptocurrency such as Bitcoin) (UK Government 2016).
Industry adoption of the Blockchain
It was Bitcoin, a cryptocurrency application of the Blockchain, which first drew public attention
to this te h olog . I
“ ste
a se i al pape e titled Bit oi : A Pee -to-Peer Electronic Cash
as pu lished u de the a e of “atoshi Naka oto Naka oto
a d i Ja ua
2009 the first open source Bitcoin client was released with Nakamoto himself being the first
miner. This name was later revealed to be a pseudonym and the actual inventor (or group of
inventors) of Bitcoin still remains unknown. In the years to follow it was the computer science
and cryptography communities that were most occupied with the technology, but attention
broadened around 2010/11 when Bitcoin started to take off with exponential trade volumes
and a dramatic price increase (Alabi 2017).
Bitcoin has paved the way for a multitude of so-called Altcoins to follow, many of which were
a tuall de i ed fo ked f o
the o igi al Bit oi i ple e tatio . Those Alt oi s se e
different purposes ranging from replacing fiat money to more specific applications such as
supplanting the use of U.S. dollars in the container shipping industry with tokens launched by
open-source Blockchain-based platforms (MarEx 2017). Current use cases go far beyond simply
using the Blockchain as a technological platform for currencies and have now started to include
8
the implementation of so-called smart contracts, for example, on the Ethereum platform. This
was made possible by an extension of the basic functionality of the Blockchain that enabled the
implementation of complex business logic. Smart contracts are agreements between two or
more contracting parties which can be automatically enforced without any intermediaries.
These agreements exist in the form of software code on the Blockchain platform, which ensures
their autonomy and self-executive nature based on predefined rules (Savelyev 2017). The
Blo k hai is f e ue tl la eled a dis upti e te h olog , ut, as Ia siti a d Lakha i
point out, it would be more appropriate to call it a foundational technology, since it can create
new foundations for social and economic systems.
Although at present the full range of potential Blockchain applications is still unclear, many use
cases have been suggested for various kinds of industries. A notable example in manufacturing,
SCM and logistics involves combining the Internet of Things (IoT) and the Blockchain. This
combination has the potential, for example, to enable connected vehicles that automatically
communicate their current status and smart locks that give access to real-world objects.
Blockchain platforms can also be used for SC tracking applications which keep a formal product
registry and are able to track possession of goods at different stages in the chain. Other ideas
include smart diagnostics, which will enable machines to monitor their state and diagnose
problems, and smart contracts between manufacturers and vendors for the procurement of
supplies and service of machinery (Bahga and Madisetti 2016). Additionally, it would be
possible to track the identity and reputation of suppliers and to use smart contracts to
auto ati all
egotiate est p i es i
eal ti e hile taki g i to a ou t the selle s eputatio
(Bagha and Madisetti 2017). On a more general level, Field (2017) predicts that the Blockchain
9
will lead to improved SC visibility, SC optimization and better demand forecasting, since
increased transparency will make it possible to react in real time to unforeseen events. This will
also have a positive effect on inventory management. The general expectation is that the
Blockchain will help to reduce fraud and errors, reduce transit and shipping costs as well as
waste, and improve inventory management (JOC 2017).
3. Research Methodology
The two main goals of this paper are the systematic and theory-based identification of
structural and managerial changes that are triggered by the introduction of the Blockchain into
SCs. In order to address those issues, we first needed to identify theories that have proven
useful in raising questions related to structural and managerial aspects, followed by a
systematic way to generate research questions. We identify the theories suggested by
Halldórsson et al. (2007) as the most suitable for the aforementioned research goals, since they
not only combine structural and managerial issues in a single comprehensive framework, but
have also been previously validated in various replication studies (cf. Halldórsson et al. 2015).
The theoretical framework proposed here was generated by applying the various characteristics
of the respective theories to Blockchain-based SCM scenarios. The exemplary research
questions presented were generated by applying the main goals of four different theory types
to the characteristics of the respective theories. In order to ensure the validity of our study, the
resulting frameworks were independently evaluated by three other researchers and
modifications were made to the wordings until all researchers agreed upon the validity of the
findings (Grayson and Rust 2001).
10
4. Theorization of Blockchain-induced SCM
Previous research has suggested that the logistics discipline can benefit from borrowing
theories from other areas (Stock 1997). This paper builds upon the theoretical framework
initially suggested by Halldórsson et al. (2007) which compares and combines four popular
theories that are widely used in social science and economic research. They provide an
institutional as well as socio-economic perspective in order to answer questions of how to
structure and manage a particular SC. Subsequent studies have shown that these theories and
adaptations thereof have been successfully applied in a wide variety of contexts in SCM
research (Defee et al. 2010; Kembro et al. 2014; Halldórsson et al. 2015; Swanson et al. 2017).
They have been used to successfully describe, explain and predict changes in SCM that are
caused by disruptive technologies.
In the following sections the four theories and their importance for SCM research are briefly
explained, followed by the integration of the Blockchain and a framework for the development
of Blockchain-based middle-range theories as well as specific research questions.
Complementary theories in SCM / logistics management
Agency costs within principal-agent theory (PAT) can be defined as the sum of monitoring
expenses by the principal, bonding expenditures by the agent and residual loss (Jensen and
Meckling 1976). They occur since the principal wants to monitor, supervise and control the
agent, so that the latter acts in the best interest of the former. The principal has incomplete
i fo
atio
ega di g the age t s eha io a d therefore has to trust the agent to a certain
extent. Fayezi et al. (2012) identified 86 SCM-related articles dealing with agency theory and
principal-agent relationships, 19 of which they closely investigated. Simply put, the major
11
challenge for the principal lies in selecting the right agent and building a relationship based on
trust. Previous principal-agent studies related to SCM have focused on issues as diverse as the
impact of Sarbanes-Oxley on off-balance sheet SC activities (Kros and Nadler 2010),
performance improvements (Miller et al. 2013), demand uncertainty and price competition
(Narayanan et al. 2005), SC quality management (Zu and Kaynak 2012), the likelihood of quality
fade in buyer-supplier relationships (Whipple and Roh 2010), and the reduction of supply risk
(Zsidisin and Ellram 2003).
Transaction cost analysis (TCA) postulates that the selection of the most efficient types of interand intra-organizational structures impacts the efficiency of different types of governance
mechanisms in terms of production and transaction costs (Coase 1937). Transaction costs
include ex ante costs of initiation (search and information) and agreement (negotiation and
decision making), and ex post costs of control and adjustment. Depending on the costs of
market transactions, different governance structures, such as markets or hierarchies, might
emerge (Williamson 1987; Picot et al. 1997; Strebinger and Treiblmaier 2006). TCA provides a
rich theoretical base for SCM, and measurement tools, guidelines and research propositions
have been developed to investigate topics such as outsourcing vs. purchase decisions,
allocation of investments, and SC coordination, integration and distribution (Grover and
Malhotra 2003). Exemplary cases in SCM include the application of TCA in the context of
i fo
atio sha i g Yigit asioglu, O.M.
, supplie s adoptio of e i o
e tal p a ti es
(Tate et al. 2011), purchasing portfolio management (Luzzini et al. 2012), performance
effectiveness of relational and contractual governance (Wacker et al. 2016), and the perception
of transaction risks (Stranieri et al. 2017).
12
The resource-based view (RBV) emerged as a countermovement to the positioning school,
which emphasized the importance of strategy for a particular organization (Porter 1980). In
contrast, the RBV postulates that it is o l a su set of a o pa
s esou es that eates
competitive advantage and an even smaller subset which leads to superior performance in the
long term. The possession of scarce resources leads to the creation of competitive advantage
which can be sustained for as long as the company can protect its resources and no substitutes
e e ge We e felt
; Ba e
. Halldó sso et al.
, p.
stated that o l a
few articles have applied the resource-based view (RBV) to the field , ut a g o i g u
e of
studies have highlighted the usefulness of this theory and closely related concepts such as the
resource-advantage theory (Hunt and Davis 2008) for SCM research. Amongst others, more
recent SCM articles have investigated the i pa t of o pa ies esou es a d apa ilities o
logistics performance (Yang and Lirn 2017), the role of market information in creating an
informational advantage for transportation providers (Golicic et al. 2012), interorganizational
learning (Manuj et al. 2013), achievement of closed-loop SC designs (Miemczyk et al. 2016) as
well as the determination of SC information integration antecedents (Huo et al. 2016).
Network theory (NT) seeks an understanding of the dynamics of interorganizational relations by
focusing on personal relationships between the parties as well as the mutual creation of trust
through cooperative relations and exchange processes (Halldórsson et al. 2007). In order to
gain access to external resources, companies have to establish relationships. On a larger scale,
this creates networks that are both stable and changing. Two interaction types, exchange
processes (social, business, and informational) and adaption processes (products, production,
and routines), help to establish stable links within a network of firms (Johanson and Mattson
13
1987). Important aspects of NT have been incorporated in a wide variety of SCM topics,
including, for example, manufacturing joint venture formations (Carnovale and Yeniyurt 2014),
network centrality antecedents in an environmental SCM initiative (Wichmann et al. 2015), the
functioning of strategic networks and alliances (Klint and Sjöberg 2003), and networked versus
non-networked companies in the software industry (Kulmala and Uusi-Rauva 2005).
Table 1 contrasts the major characteristics of the four theories. All of them assume a certain
level of bounded rationality, but take a different problem orientation when it comes to
investigating the underlying object of interest. PAT is mostly focused on how to design optimal
contracts in order to avoid problems of asymmetric information. TCA explores the borders of
organizations resulting in an optimal organizational size and efficient governance structures.
RBV focuses on differences between companies and investigates the internal competences that
help companies to gain a competitive advantage and, finally, NT deals with dyadic relationships
and the networks in which they are imbedded (Halldórsson et al. 2015). Accordingly, Table 1
also lists the key questions one needs to ask when applying the respective theory, the primary
focus of analysis, the nature of relations, and the primary domain of interest. All four theories
thus take a different stance when it comes to explaining and exploring real-world SCM
phenomena; combining them for methodological plurality allows for a more comprehensive
investigation of a multifaceted research topic than would be possible with a single theory
(Georgi et al. 2010).
Table 1: Comparison of the principal agent theory, transaction cost analysis, the resource based view,
and the network perspective (adapted from Halldórsson et al. 2015, p. 578; Halldórsson et al. 2007, p.
289; Skjoett-Larsen 1999, p. 46; and Madhok 2002, p. 540)
14
Characteristics
PAT
TCA
RBV
NT
Behavioral
assumptions
Bounded
rationality,
asymmetric
information,
goal conflicts
Contract
design
Bounded rationality,
opportunism
Bounded
rationality,
trust
Bounded
rationality,
trust
Efficient governance
structure
Internal
competence
development
Dyadic
relationships
embedded in
networks
Key Question
What is the
most efficient
contract?
Why do firms exist?
Why do firms
differ?
How do networks
evolve?
Primary focus of
analysis
Contracts and
incentives
Transaction attributes
Resource
attributes
Inter-firm relations
Nature of
relations
Division of
labor,
ownership,
control
Market failures
Access to
complementary
resources
Access to
heterogeneous
resources
Primary domain
of interest
Incentive
alignment in
dyads
Transactions
Organizational
resources and
capabilities
Exchange and
adaptation
processes
Problem
orientation
A framework for Blockchain research in SCM / logistics
Analyzing the potential implications of the Blockchain from different theoretical angles provides
promising starting points for further theory development and empirical research. The main
characteristics of the Blockchain include decentralization of decision making, distributed
processing, reliability, peer-to-peer transmission, immutability of data, automaticity, speed, low
transaction fees, transparency with pseudonymity, and non-repudiability (irreversibility)
(Nakamoto 2008; Narayanan et al. 2016; Bahga and Madisetti 2017; Iansiti and Lakhani 2017).
These characteristics lead to derived concepts on a higher level which bear substantial
15
managerial implications such as provenance of data, trust, privacy, security, enforcement,
integrity, consensus, availability, authenticity, and accountability (Tapscott and Tapscott 2016;
Tschorsch and Scheuermann 2016; Liang et al. 2017; Neisse et al. 2017) all of which might have
severe implications for the SCM / logistics field (Field 2017; Hackius and Petersen 2017; JOC
2017; MarEx 2017).
Table 2 shows how these attributes of the Blockchain can be integrated into the four theories
by adapting the framework from Table 1. The structure of this table (i.e., the respective
categories) was taken from Halldórsson et al. (2007) who applied this framework to third party
logistics. The topics shown in Table 2 were gained by applying the characteristics of the four
theories, as shown in Table 1, to Blockchain technology. This process was done by the authors
of this paper based on the existing literature and on independent feedback from three
additional researchers. The characteristics of the four theories were sent via e-mail together
with an invitation to propose the most important topics. After the initial round the results were
sent to all researchers for final confirmation.
The most important findings were that, from a PAT perspective, smart contracts have the
potential to solve or alleviate the problem of information asymmetry (ISDA 2017). TCA can help
to explain how the costs of intra- and inter-organizational transactions will change through the
Blockchain and to what extent this will impact organizational borders (Cocco et al. 2017). RBV
can help with the allocation of resources to gain competitive advantage. The specific
characteristics of the Blockchain are expected to render certain advantages obsolete, but might
also p o ide st ategi oppo tu ities fo fast adopte s IBM
. Fi all , the Blo k hai s
16
p o ise to eate t ustless t ust We a h fo th o i g a
e s ste ati all a al zed
applying NT.
Table 1: The theoretical framework applied to Blockchain-based SCM research
Characteristics
PAT
TCA
RBV
NT
Behavioral
assumptions
Increased
information
transparency
Contractual
agreements
Investments,
divestments
Trust in
transactions,
knowledge
transfer
Interorganizational
trust,
information
sharing
Problem
orientation
Contract design and
execution,
supervision
Outsourcing and
insourcing
Resource
allocation and
development
Design of
communication
and transactions
Key Question
How does the
Blockchain impact
contract efficiency?
How does the
Blockchain
change
transaction costs?
What Blockchainrelated resources
generate
competitive
advantage?
To what extent
does the
Blockchain replace
personal trust?
Primary focus of
analysis
Smart Contracts to
control agent
Costs of intraand interorganizational
transactions
Competitive
consequences of
resource
reallocation
Relationships in
the network
Nature of
relations
Harmonizing
conflicting goals
A s le gth
relationships vs.
strategic
relationships
Blockchain as a
new competence,
complementary
resources
Contractual
relations, personal
relations
Primary domain
of interest
Alignment of
conflicting interests
with smart contracts
Optimization of
transaction costs,
asset specificity,
change of costs
Identification and
development of
core
competencies
Mutual adaptation
of relations
through Blockchain
technology
As the logistics field has evolved from a rather description-based discipline to one that is
founded upon solid theoretical grounding, a need for middle-range theorizing has arisen (Stank
et al. 2017; Craighead et al. 2016). As opposed to general theorizing, middle-range theories are
17
more specific regarding the field of analysis and focus on a better understanding of why, how
and when specific outcomes occur (Astbury and Leeuw 2010). A complementary taxonomy of
theories classifies them according to their methodological approach, which can be analysis,
explanation, prediction, explanation plus prediction, or prescription (Gregor 2006). While
analysis is mainly a descriptive app oa h fo usi g o
Wh ? , Ho ? , Whe ? a d Whe e?
What?
uestio s, explanation answers
uestio s. Theo ies fo usi g o prediction create
testable propositions, but may lack justifiable causal explanations, while design and action
research gives prescriptions for constructing artifacts (Gregor 2006).
Table 3 lists the different methodological starting points and the respective research objects
together with those key questions that can be used to derive testable and theory-based
propositions, hypotheses and models. In order to better understand the potential implications
of the Blockchain on the respective research objects, it is useful to thoroughly analyze changes
in relations between principals and agents, organizational boundaries, critical resources and
relationship structures. In contrast, a predictive research design will focus on the changes that
are to be expected and a design and action approach makes prescriptions on how to deploy
Blockchain applications in order to achieve desired results. As far as middle-range theories are
concerned, explanatory questions are of the greatest significance since they focus on the
underlying rationale of why, how, and under which conditions certain phenomena occur.
Applying these three core explanatory questions to the respective research objects within a
SCM / logistics context will help to create middle-range theories that are based on
substantiated previous research, but at the same time are specific enough to provide insights
that are relevant for the logistics industry.
18
Table 2: A framework for Blockchain-based middle-range theory development
Characteristics
Research Object
PAT
Relation
between
principal and
agent
Analysis
What a e the i pli atio s of the Blo k hai fo …?
Explanation
Wh does the Blo k hai
ha ge …?
Ho does the Blo k hai
ha ge …?
U de
TCA
Organization
Boundaries
RBV
Critical resources
hi h o ditio s Whe ? does the Blo k hai
Prediction
The Blockchain ill lead to the follo i g ha ges i …
Design and action
If spe ifi ha ges i … a e desi a le, the Blo k hai
follo i g a : …
NT
Relationship
structures
ha ge…?
a
e deplo ed i the
Formulating middle-range theories starts with accumulated knowledge about a phenomenon
within a particular domain. This knowledge may stem from previous theory-based frameworks,
but also from inductive, qualitative observations of practice (Stank et al. 2017; Kim et al. 2009).
Combining the respective research objects and the key questions listed in Table 3 enables the
deduction of research questions that are directly related to the implications of the Blockchain
on the SC. In the following paragraphs we will briefly describe and visualize the expected
changes from the points of view of the four theories, respectively, and present exemplary
research questions that are of importance for SCM / logistics research.
The central feature of the PAT is the complex relationship between principal and agent, which is
characterized by the asymmetric information flows depicted in the left part of Figure 1. It is
only the agent who receives information from various external sources (e.g., customers,
19
suppliers and partners), processes this information, and acts upon it. As a consequence, the
principal has to trust the hired agent and can only assess their general performance, but lacks
knowledge about details. Under the assumption that the agent will naturally act according to
self-interest, the principal has to trust that the agent ill pu sue the p i ipal s i te ests, hi h
may require the establishment of trust mechanisms and control systems at additional cost
(Jensen and Meckling 1976). In a Blockchain-based scenario (right part of Figure 1), however,
information flows are transparent and accessible to both the principal and the agent. As a
consequence, the demand for trust vanishes. Blockchain technology thus provides formal
guarantees to both parties that comprehensively address agency problems (Kaal 2017).
Figure 1: Traditional PAT (left) and Blockchain-induced transformations (right)
Table 4 lists some central research questions that arise from applying the questions in Table 3
to situations in which the Blockchain is introduced, as predicted by scholarly as well as
practitioner literature. All of the respective questions can be embedded into the general setting
of PAT, but provide enough specificity to constitute a middle-range theory that leads to useful
20
outcomes for SCM research. All e pla ato
uestio s sta ti g ith Wh
shown in the
following tables are based on the assumption that an effect exists, which must first be
confirmed in a preliminary study.
Table 4: PAT and Blockchain: Exemplary research questions
Theory Type
Analysis
Question
What are the implications of specific Blockchain characteristics (e.g., increased
transparency, immutability, persistence of information) for the relationship
between principal and agent?
Explanation
Why does the Blockchain change the relationship between principal and agent?
(i.e., which characteristics of the Blockchain are responsible for this
transformation?)
How does the relationship between principal and agent change due to the
increased transparency (immutability, persistence) of information?
Under which external circumstances (e.g., types of industry, competitiveness of
environment) does the Blockchain lead to disruptions? Which types of
industries are especially affected?
Prediction
Will the Blockchain reduce the level of trust needed in business relationships
and lead to an increased number of loose supplier relationships?
Design and Action
How can one create Blockchain solutions that help to reduce the level of trust
needed and to increase information transparency?
TCA focuses on transactions costs that determine the size and structure of organizations. The
immutability of Blockchain records in combination with cryptographic security creates new
forms of trust that are based on transparency and traceability. The rules that are embedded in
Blockchain code cannot be circumvented without detection (Kaal 2017). In the case of smart
contracts, the rules are enforced automatically without any need for human intervention.
Figure 2 shows different types of transaction costs and how they can be affected by the
Blockchain. Transaction costs can be internal (only shown for company A in Figure 2),
21
representing bureaucratic costs that occur inside a company, or external and relating to
exchanges between companies. On the left side of Figure 2 company A conducts business with
two other companies, B and C. The adoption of Blockchain technology potentially affects
internal and external transaction costs simultaneously and thus can lead to the shrinking or
e pa sio of a o pa
s ou da ies i di ated
the dotted ou da ies a d the a o s o
the right side of Figure 2). Additionally, from the point of view of company A, it might no longer
be necessary to continue business relations with companies whose services can be substituted
by the Blockchain (i.e., company C). This is predicted, for example, for services as diverse as
clearing, trade settlement and regulatory reporting (Harwood-Jones 2016). On the other hand,
new market players offering services needed for Blockchain technology might emerge
(company D). In a nutshell, all internal and external transaction costs may be affected in nature
and size. In order to avoid clutter, disintermediation is not shown in Figure 2, but it can easily
be conceived that services from companies which currently benefit from being information and
service hubs might become obsolete. In the transportation and logistics field this includes
various services related to the validation of transactions.
Figure 2: Traditional TCA (left) and Blockchain-induced transformations (right)
22
Table 5 shows research questions that arise when TCA and Blockchain are combined with the
goal of creating middle-range theories.
Table 5: TCA and Blockchain: Exemplary research questions
Theory Type
Analysis
Question
What are the implications of changes in transaction costs due to the Blockchain
on organizational size, structure, interorganizational transactions and SCs?
Explanation
Why do organizational boundaries change due to the Blockchain? (i.e., which
Blockchain characteristics lead to changes in transaction costs?)
How do contractual agreements between organizations change due to the
Blockchain?
Which conditions foster or impede Blockchain-induced changes? (e.g., type of
industry, dependence on contractual agreements, resources necessary to
enforce contractual agreements).
Prediction
Will the Blockchain reduce different types of transactions costs (e.g., costs for
23
search, information, negotiation, decision making, control, adjustment) and
reshape SCs?
Design and Action
How can one create Blockchain solutions that minimize transaction costs?
By applying RBV those resources can be identified and analyzed that help a company to gain
and sustain competitive advantage. Figure 3 differentiates between resources in general,
capabilities that distinguish a company, and finally those resources which enable competitive
advantage on the market. Blockchain technology might lead to transformation processes that
affect all three levels simultaneously, as is indicated by the dotted lines (right part of Figure 3).
This can either be an increase or a decrease of the respective resource, capability or
competitive advantage. Smart contracts, for example, have the potential to automate
processes by running rules encoded in computer programs. Agents can be hired by so-called
Decentralized Autonomous Organizations (DAO), which are run by smart contracts, in order to
perform specialized tasks (Morabito 2017).
As is shown by the dotted lines representing new boundaries in Figure 3, such a scenario can
lead to a reduction of unique competencies for those companies that offer services which can
be potentially substituted by the Blockchain, but can also lead to an increase in competencies
for those companies that can use the new technology to complement their own portfolio of
services being offered. On the lowest level, attributes of the Blockchain such as data
transparency and non-repudiability offer opportunities for cost reduction and independence
from the services of intermediaries. On the highest level, new business models may emerge and
existing companies might find innovative ways to incorporate Blockchain technology into their
portfolio of services. The Blockchain has been claimed to hold the pote tial to disrupt the
24
dis upto s a d o pa ies su h as U e a d Ai
, hi h uild thei o petiti e ad a tage
on centralized databases and control structures, might no longer be able to sustain their
existing business models (Ogundeji 2016). Similar to the Internet, Blockchain technology thus
bears the potential to fundamentally alter the importance of (critical) resources for sustained
advantage across industries independent of factors such as company size or managerial
experience.
Figure 3: Traditional RBV (left) and Blockchain-induced transformations (right)
Table 6 presents several research questions that investigate the impact of the Blockchain from
a RBV perspective and which can serve as guidelines for middle-range theory building.
Table 6: RBV and Blockchain: Exemplary research questions
Theory Type
Analysis
Question
What are the implications of the Blockchain for internal resources and
competitive advantage?
25
Explanation
Why does the Blockchain lead to resource reallocation and shifts in competitive
po e ? i.e., ho do the ha a te isti s of the Blo k hai ha ge o pa ies
core competencies?)
Ho does the Blo k hai i pa t o pa ies o petiti e po e ?
Under which conditions are Blockchain-induced changes especially profound for
the SC? (i.e., which industries / strategies / structures are especially affected?)
Prediction
Will the Blockchain impact the sources of competitive advantage across
industries? How will intermediaries of all kinds be affected?
Design and Action
How can one create Blockchain solutions that reallocate resources and create
new areas of competitive advantage?
NT investigates the nature and role of interorganizational relationships and how they can be
managed. NT is similar to TCA in that it investigates connections between organizations, but
focuses on the management of relations rather than transactions (Rinehart et al. 2004). On the
left side of Figure 4 two types of relationships are shown: a direct one between A and B and an
indirect (mediated) one between A and D. On the right side, the potential impact of the
Blockchain is shown. The relationship between companies A and B still exists, but its nature and
strength might have changed. Additionally, the previously indirect relationship between A and
D was substituted by a direct one and the intermediary C was removed. Then again, a new
company E enters the market and serves as an intermediary between A and B, which also have
a direct relationship.
Figure 4 depicts just some of the changes that can be induced by the Blockchain in complex
networks of interorganizational relationships. It is again the transparency and non-repudiability
of the data which might render personal contacts for enhancing trust obsolete. This is not to
say that interorganizational relationships become unnecessary in general, but their overall
26
importance and qualities might change since they are no longer needed to ensure trust in SCs
(Werbach forthcoming). Si ila l , the auto ated
eha io of s a t o t a ts
akes the
execution of business processes predictable. Blockchain technology therefore has the potential
to significantly alter the importance of interorganizational relationships and to enable trusted
information flows between hitherto disconnected companies, which in turn poses new
challenges for management.
Figure 4: Traditional NT (left) and Blockchain-induced transformations (right)
In Table 7 exemplary research questions are listed that explore the impact of the Blockchain
from a NT perspective. Again, these questions refine NT such that middle-range theorizing
becomes possible.
Table 7: NT and Blockchain: Exemplary research questions
Theory Type
Analysis
Question
What are the implications of the Blockchain for the nature and quality of
business relationships?
Explanation
Why does the Blockchain change the nature and quality of business
relationships?
27
How does the nature and quality of business relationships change due to
increased transparency of information and trust?
Under which conditions do changes in business relationships have major effects
on the SC? (e.g., lower switching barriers for customers within a value network).
Prediction
Will the Blockchain fundamentally alter the nature and quality of business
relationships?
Design and Action
How can one create Blockchain solutions that guarantee contractual
performance without requiring established business relationships within SCs?
5. Discussion
The Blockchain and its potential business implications is a topic that remains underresearched.
It was not until the industry had already invested billions of dollars that many applied academic
communities, including the logistics / SCM community, realized the need for rigorous research
in this area (Treiblmaier and Beck, 2018). One of the major strengths of academia is its
capability to provide an unbiased and structured theoretical foundation that can help to guide
future research (Simangunsong et al. 2012; Skipper et al. 2008; Svensson 2002). In this paper
we closely follow an approach previously suggested by Halldórsson et al. (2007) that builds on
new institutional economics (Coase 1937; Williamson 1987) to provide guidelines on how to
structure and manage supply chains. That paper was favorably received by the academic
community and thus provides an ideal foundation for investigating the Blockchain as a
technological artifact that has the potential to significantly disrupt supply chains in various
industries. SC managers will face Blockchain-induced changes related to the structure, strategy
and processes of their companies, as well as to their interrelationships (Strebinger and
Treiblmaier 2006; Treiblmaier and Strebinger 2008). By applying the framework presented in
this paper, as exemplified by the research questions in tables 4-7, valuable insights can be
28
gained as to how the Blockchain impacts structural and managerial aspects of the supply chain
(Koufteros et al. 2014; McGinnis et al. 2010; Knemeyer et al. 2015).
6. Implications
This research bears significant implications for managers and researchers alike. A recent report
fo
the Ga t e g oup states that Blo k hai te h ologies a e e t e el h ped […] ut
should ot e ig o ed Fu lo ge et al.
. We a gue that a
ethodologi all sou d a d
academically rigorous research agenda can benefit both researchers and practitioners. The
goals of this paper include defining Blockchain and describing its functionality as well as the
construction of a framework which supports practitioners and researchers in identifying
relevant research questions and exploring the potential implications of Blockchain from
different theoretical angles.
In this paper four general theories are presented that can be used to investigate organizational
structures, processes and resources, as well as interorganizational relationships from various
angles. PAT and TCA originate from neo-classical economic theory and help to answer questions
regarding how to structure SCs. They fall short, however, when it comes to taking into account
human behavior, critical resources and dynamic relationships (Halldórsson et al. 2007). These
factors can be addressed by including RBV and NT, which help to determine what is needed to
manage an organizational structure. Taken together, all four theories represent complementary
perspectives on (inter)organizational attributes that allow for a comprehensive and in-depth
analysis of ongoing and predicted changes.
29
Theoretical Implications
One of the major goals of any scientific discipline is to create and advance theory. Although
original theory-building efforts in SCM / logistics are scarce (Touboulic and Walker 2015), the
refinement and adaptation of existing grand theories into so-called middle-range theories bears
a huge potential to closely investigate the conditions under which logistics phenomena yield
certain outcomes (Stank et al. 2017). This paper presents a starting point in the development of
middle-range theories by using four well-established and complementary theories (PAT, TCA,
RBV, NT) and applying them to postulated changes induced by the Blockchain: a technology
that has the potential to restructure many logistics / SCM processes (Hackius and Petersen
2017). The four theories cover both structural (PAT, TCA) as well as managerial (RBV, NT)
aspects and, taken together, provide a comprehensive framework for designing future SCM
research. Applying the characteristics of the respective theories to the specifics of the
Blockchain helps researchers to identify potential research areas (cf. Table 1).
Following guidelines from the methodological literature (Gregor 2006), different types of
theories are distinguished according to their respective goals (analysis, explanation, prediction,
design and action) and research questions of each theory type are identified for each of the
theories, as presented in Tables 4-7. These questions should guide researchers in the further
pursuit of relevant and theory-based research topics. More specifically, each of these questions
can serve as a starting point for research projects with the goal of analyzing, explaining,
predicting, and designing the impact of the Blockchain on SCM from a specific theoretical angle.
Our suggested framework does not impose any restrictions pertaining to methodology and is
therefore suitable for researchers with both qualitative and quantitative backgrounds.
30
Furthermore, basing research questions on existing theory allows for the incremental
development of a body of research that makes it easier to replicate and, if needed, to dismiss
previous findings. Refining theory in this context not only pertains to investigating (i.e.,
explaining, exploring or predicting) the Blockchain as a research phenomenon, but also includes
esea h i the desig a d a tio
atego
that ai s at designing and implementing concrete
industry solutions. Incremental academic research in this area is especially desirable since
industry projects are often conducted behind closed doors and gains in experience are rarely
shared. Academia can help in this regard, for instance, by highlighting best practices for the
industry.
Managerial Implications
The major part of the existing literature discussing the Blockchain is practitioner-oriented and
predicts a huge impact of the technology. This is also reflected in current investment levels and
industry expectations (Holden and Moar 2017). Only a few authors warn against raising
unrealistic expectations (Walker 2017; Coppola 2016). In spite of the huge total investments by
the industry, it is mainly the big companies who are at the forefront of this innovation and
many logistics operators, especially small and medium-sized companies, lack knowledge about
the Blockchain (Kersten et al. 2017). In order to critically and impartially assess its impact,
including its potentials and limitations, a repository of methods, frameworks, and models are
needed that can provide interesting insights for the industry. Academically sound research
results that are based on empirical findings and well-founded reasoning – rather than on
speculation – will benefit decision makers at all levels including commercial organizations as
well as governmental and nongovernmental organizations.
31
In this respect, the logistics / SCM community can build upon a long tradition of theory-based
research by adapting existing theories to problems that are of interest for the industry. The four
theories that serve as a starting point in this paper are general theories requiring further
refinement in order to create middle-range theories that lend themselves to validation and
testing. In this paper we show how this can be achieved by deriving theory-based research
questions that are also relevant for the industry. Combining PAT, TCA, RBV and NT with four
theory types according to their respective goals (i.e., analysis, explanation, prediction, design
and action) leads to research questions that can help to better understand the implications of
the Blockchain, as well as providing indications on what is needed to actively take part in the
design process.
When it comes to structural issues, PAT explains how complex inter- and intra-organizational
dependencies might vanish due to increased information transparency. This guides companies,
for example, in redesigning the structure of existing systems (e.g., the level of
(dis)intermediation) and critically assessing the information requirements for a specific SC
designs. In the next step, such an assessment can be used to design SCs that are more resilient
by applying an optimized level of (de)centralization (Treiblmaier 2018). From a TCA perspective,
the focus is on changes in transaction costs, and subsequently in the structure and size of
organizations. By investigating the research questions proposed in this paper managers will
better understand how attributes of the Blockchain can lead to adjustments in organizational
size and the design of contractual agreements. This especially pertains to the impact of smart
contracts, which are automatically executed and may severely impact transaction costs
(Savelyev 2017).
32
If the focus is on managerial issues, RBV can be used to critically assess the role, importance,
and growth potential of existing organizational resources. Managers might deduce, for
example, that a strategic reorganization and delegation of responsibilities is needed in order to
cope with Blockchain-induced changes. Such changes may include positive impacts (e.g., an
increase in competitive power due to new payment channels) as well as negative impacts (e.g.,
new competitors that offer simplified processing of shipping documents and help to track
goods) (Kshetri 2018). Finally, NT provides the underlying rationale for assessing the role and
i po ta e of o pa ies i te o ga izatio al et o ks f o
a elatio al pe spe ti e. Fo
example, analyzing the interplay between relationships and information transparency might
inform managers on whether personal relationships can indeed be substituted by the increased
information control offered by the Blockchain. Additionally, the ease with which new business
relationships can be established might change substantially due to t ustless s ste s that
enforce contractual compliance without any need for personal relationships (Kiviat 2015).
Taken together, the logistics / SCM community possesses the tools and the methodological
knowledge needed to tackle the research questions derived and presented in this paper in a
systematic manner. The results from these studies will benefit managers who seek an unbiased,
well-founded and thorough understanding of how Blockchain technology is impacting and can
further impact their own companies and SC networks.
7. Conclusions, Limitations and Further Research
Despite the relative novelty of Blockchain technology, the industry is already investing millions
of dollars, and market research predicts a further increase in the years to come
33
(MarketsandMarkets 2016). In this paper we present four grand theories widely used in SCM /
logistics research (PAT, TCA, RBV, NET), and make recommendations on how to integrate
Blockchain technology. The main attributes of the Blockchain are considered from the
perspective of the four grand theories to develop theoretical frameworks that present relevant
topics and questions for logistics / SCM researchers. These frameworks are subsequently
refined into research questions that can be used to create middle-range theories for further
empirical testing. This paper therefore lays the foundation for further systematic and theorybased research which should not only help to establish a solid research agenda, but also bridge
the gap between academia and the industry by pointing out those questions that researchers
can tackle in order to better understand the Blockchain and its potential implications on SCM.
Given that this paper focuses on a novel technology whose implications are mostly unexplored,
three major limitations arise. First, from a technological standpoint the Blockchain is constantly
being developed and does not represent a single monolithic artifact. It is therefore crucial for
future researchers to clearly specify what type of Blockchain they specifically investigate. In
consideration of this issue, this paper discusses the Blockchain in a very broad sense without
detailing its idiosyncrasies. Second, the selection of theories proposed in this paper to some
extent reflects an arbitrary decision, and it has to be acknowledged that other theories that are
not mentioned in the paper might as well provide interesting insights. The selection of theories
was based on previous research (Halldórsson et al. 2007) whose relevance for the evaluation of
SCM was validated several years later (Halldórsson et al. 2015). Obviously this does not mean
that research in this area has to be, or should be, restricted to the application of these four
theories. Rather, new middle-range SCM-specific theories might arise by creatively adapting
34
and modifying the suggested theories as well as others to specific problems. Third, the
frameworks presented in the paper emerged as a combination of the respective theories with
the attributes of Blockchain technology, as identified by the authors based on available
literature. While this approach is commonly used in the academic literature, further
technological advancements or an extended application of a specific theory might yield
additional insights that are currently not included in the framework. Additionally, the process of
identifying salient research topics and questions, although triggered and bounded by the
idiosyncrasies of the specific theories, may result in slightly different results if conducted by a
different research team.
This paper presents the first step in putting together a research agenda that applies rigorous
academic SCM / logistics research to the Blockchain: a potentially disruptive technology with as
yet unclear effects on the SC. Incremental research is needed to be able to better understand,
predict, and, if needed, design Blockchain solutions that benefit the logistics industry. Various
methodological approaches, such as generalizable empirical studies, can be used to gain a
better understanding and identify the most important problems for the industry. A close
cooperation between academics and practitioners will best yield results for mutual benefit in
this novel research area.
REFERENCES
Ala i, K.
. Digital Blo k hai Net o ks Appea to Be Follo i g Met alfe s La . Electronic
Commerce Research and Applications 24(July-August): 23-29.
35
Ast u , B., a d Leeu , F.L.
. U pa ki g Bla k Bo es: Me ha is s a d Theo
Buildi g i
E aluatio . American Journal of Evaluation 31(3):363–381.
Bahga, A. a d Madisetti, V.K.
. Blo k hai Platfo
fo I dust ial I te et of Thi gs.
Journal of Software Engineering and Applications 9: 533-546.
Bahga, A., and Madisetti, V.K. 2017. Blockchain Applications: A Hands-On Approach. Berlin: VPT.
Ba e , J.B.
. Fi
‘esou es a d “ustai ed Co petiti e Ad a tage. Journal of
Management 17(1): 99-120.
Ca o ale, “., a d Ye i u t, “.
Fo
. The ‘ole of Ego Net o ks i Ma ufa tu i g Joi t Ve tu e
atio s. Journal of Supply Chain Management 50(2): 1-17
Coase, R. H. 1937. The Nature of the Firm, Economica 4, 386-405.
Cocco, L., Pinna, A., and Marchesi, M.
. Ba ki g o Blo k hai : Costs “a i gs Tha ks to
the Blo k hai Te h olog . Future Internet 9(3): 1-20.
Coppola, F.
. Blo k hai is Not Goi g to Cha ge the Wo ld. Fo es. o ,
https://www.forbes.com/sites/francescoppola/2016/06/13/blockchain-meh/#2548ce8735ef,
accessed 2 October 2017.
C aighead, C.W., Ket he , D.J., a d Che g, L.
.
Goldilo ks Theo izi g i “uppl Chai
Research: Balancing Scientific and Practical Utility via Middle-‘a ge Theo . Transportation
Journal 55(3): 241-257.
Defee, C.C., Willia s, B., ‘a dall, W.“., a d Tho as, ‘.
. A I e to
of Theo
i
Logisti s a d “CM ‘esea h. International Journal of Logistics Management 21(3): 404-489.
36
Deloitte.
. Blo k hai : E ig a. Pa ado . Oppo tu it . U ited Ki gdo : Deloitte LLP.
D es e , M., Yao, Y., a d Pal e , J.
. I te et Te h olog Use a oss the Food I dust
“uppl Chai . Transportation Journal 40(4): 14-26.
Fa ezi, “., O Loughli , A., a d )utshi, A,.
. Age
Theo
a d “uppl Chai Ma age e t:
A “t u tu ed Lite atu e ‘e ie . Supply Chain Management: An International Journal 17(5):
556-570.
Field, A. M.
. Blo k hai fo F eight? Journal of Commerce 18(5): 88-92.
Fu lo ge , D., Valdes, ‘., a d Ka das a
, ‘.
. H pe C le fo Blo k hai Technologies
. Gartner Report, https://www.gartner.com/doc/3775165/hype-cycle-blockchaintechnologies-, accessed 2 October 2017.
Georgi, C., Darkow, I.-L., a d Kotza , H.
Business Logistics and its E olutio
. The I telle tual Fou datio of the Jou al of
et ee
a d
. Journal of Business Logistics,
31(2): 63-109.
Goli i , “.L., Fugate, B.“., a d Da is, D.F.
. E a i i g Ma ket I fo
atio a d B a d
Equity Through Resource-Ad a tage Theo : A Ca ie Pe spe ti e. Journal of Business
Logistics 33(1): 20-33.
Google Trends, 2018. Search term: Blockchain,
https://trends.google.us/trends/explore?q=blockchain, accessed 18 July 2018.
G a so , K. a d ‘ust, ‘.
. I te ate ‘elia ilit . Journal of Consumer Psychology 20(1/2):
71-73.
37
G ego , “.
. The Natu e of Theo
G o e , V., a d Malhot a, M.K.
i I fo
atio “ ste s. MIS Quarterly 30(3): 611-642.
. T a sa tio Cost F amework in Operations and Supply
Chai Ma age e t ‘esea h: Theo
a d Measu e e t. Journal of Operations Management
21(4): 457-473.
Ha kius, N., a d Pete se , M.
. Blo k hai i Logisti s a d “uppl Chai : T i k o T eat?
Hamburg International Conference of Logistics, HICL2017, Hamburg, Germany.
Halldórsson, A., Kotzab, H., Mikkola, J.H., and Skjøtt-La se , T.
. Co ple e ta
Theo ies
to “uppl Chai Ma age e t. Supply Chain Management: An International Journal 12(4): 284296.
Halldórsson, A., Hsua , J., a d Kotza , H.
Management Revisited – F o
. Co ple e ta
Theo ies to “uppl Chai
Bo o i g Theo ies to Theo izi g. Supply Chain Management:
An International Journal 20(6): 574 – 586.
Harwood-Jo es, M.
. Blo k hai a d T “: A Pote tial Dis upto . “ta da d Cha te ed
Bank, https://www.sc.com/BeyondBorders/wp-content/uploads/2016/06/2016-06-16BeyondBorders-Report-SCB_Nema_Block-Chain-Paper-Final.pdf, accessed 2 October 2017.
Holden, W., and Moar, J. 2017. Blockchain Enterprise Survey: Deployments, Benefits & Attitudes,
Hampshire, UK: Juniper Research.
Huo, B., Han, Z., and Prajogo, D.
. A te ede ts a d Co se ue es of “uppl Chai
Information Integration: A Resource-Based Vie . Supply Chain Management: An International
Journal 21(6): 661-677.
38
Hu t, “.D., a d Da is, D.F.
. G ou di g “uppl Chai Ma age e t i ‘esou e-Advantage
Theo . Journal of Supply Chain Management 44(1):10–21.
IBM 2017. Forward Together: Global C-Suite Study, 19th edition. IBM Institute for Business
Value. Armonk, NY: IBM Corporation.
Ia siti, M., a d Lakha i, K.‘.
. The T uth a out Blo k hai . Harvard Business Review
95(1): 118-127.
I“DA
. “ a t Co t a ts a d Dist i uted Ledge – A Legal Pe spe ti e. ISDA Whitepaper,
https://www2.isda.org/attachment/OTU3MQ==/Smart%20Contracts%20and%20Distributed%2
0Ledger%20%20A%20Legal%20Perspective.pdf, accessed 22 September 2017
Je se , M.C., a d Me kli g, W.H.
. Theo
of the Fi
: Ma age ial Beha io , Age
a dO
e ship “t u tu e. Journal of Financial Economics 3(4): 305-360.
JOC
. Mae sk a d IBM Tea
Costs
Up to Digitalize “uppl Chai . Journal of Commerce 18(6): 7-
8.
Johanson, J., and Mattsson, L.-G.
. I te o ga izatio al ‘elatio s i I dust ial “ ste s: A
Network Approach Compared with the Transaction-Cost App oa h. Inter-Organizational
Studies of Management and Organization 17(1): 34-48.
Kaal, W.A.
. Blo k hai “olutio s fo Age
P o le s i Co po ate Go e a e , First
Annual Toronto FinTech Conference, 20-21 October, Toronto, Canada.
Ka
il, A.
. Ele tronic Commerce: Implications of the Internet for Business Practice and
“t ateg , Business Economics 30(4): 27-33.
39
Ke
o, J., “el ia idis, K., a d Näslu d, D.
. Theo eti al Pe spe ti es o i fo
atio
Sharing in Supply Chains: A Systematic Literature ‘e ie a d Co eptual F a e o k. Supply
Chain Management: An International Journal 19(5/6): 609 – 625.
Kersten, W., Seiter, M., von See, B., Hackius, N., and Maurer, T. 2017. Trends and Strategies in
Logistics and Supply Chain Management – Digital Transformation Opportunities. Hamburg: DVV
Media Group.
Ki , “.K., “tu p, ‘.L., a d Oh, C.
. D i i g Fo es of Coo di atio Costs i Dist i uto -
Supplier Relationships: Toward a Middle-‘a ge Theo . Journal of the Academy of Marketing
Science 37(4):384–99.
Ki iat, T. I.
. Be o d Bit oi : Issues i ‘egulati g Blo k hai T a sa tio s. Duke Law
Journal 65(3): 569-608.
Kli t, M.B., a d “jö e g, U.
. To a ds a Co p ehe si e “CP-Model for Analysing Strategic
Net o ks/Allia es. International Journal of Physical Distribution & Logistics Management
33(5): 408 -426.
K e e e , A. M. a d Fa
ett, “. E.
. “uppl Chai Desig a d I teg atio : Wh Co ple
Colla o ati e “ ste s a e Eas to Talk A out ut Ha d to Do. Jou al of Busi ess Logisti s
36(3): 301-302.
Koufteros, X., Peng, X., Guanyi, L. and Peters, R. 2014. The I pa t of O ga izatio al “t u tu e
o I te al a d E te al I teg atio . Jou al of O ga izatio Desig
: -17.
40
K os, J.F., a d Nadle , “.“.
. The I pa t of “a a es-Oxley on Off-Balance Sheet Supply
Chai A ti ities. Journal of Business Logistics 31(1): 63-77.
Kshet i, N.
. Blo k hai s ‘oles i Meeti g Ke “uppl Chai Ma age e t O je ti es.
International Journal of Information Management 39: 80-89.
Kulmala, H.I., and Uusi‐‘au a, E.
. Net o k as a Busi ess E ironment: Experiences from
“oft a e I dust . Supply Chain Management: An International Journal 10(3): 169-178.
La io i, ‘., “ hau, H.J., a d “ ith, M.F.
. I te et I pa ts o “uppl Chai
Ma age e t. Industrial Marketing Management 32(3): 173-175.
Lia g, X, “hett , “. Tosh, D., Ka houa, C., K iat, K., a d Njilla, L.
. P o hai : A
Blockchain-Based Data Provenance Architecture in Cloud Environment with Enhanced Privacy
a d A aila ilit . Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud
and Grid Computing: Madrid, Spain: 468-477.
Luzzini, D., Caniato, F., Ronchi, S., and Spina, G.
. A T a sa tio Costs App oa h to
Pu hasi g Po tfolio Ma age e t. International Journal of Operations & Production
Management 32(9): 1015-1042.
Madhok, A.
. ‘eassessi g the Fu da e tals a d Be o d: ‘o ald Coase, the T a sa tio
Cost and Resource- ased Theo ies of the Fi
a d the I stitutio al “t u tu e of P odu tio .
Strategic Management Journal 23(6): 535-550.
Ma uj, I., O a , A., a d Yazda pa ast, A.
. The Quest fo Co petiti e Ad a tage i Glo al
“uppl Chai s: The ‘ole of I te o ga izatio al Lea i g. Transportation Journal 52(4): 463-492.
41
MarEx 2017. "Blockchain Currency Ready for Container Shipping", The Maritime Executive,
http://maritime-executive.com/article/blockchain-currency-ready-for-container-shipping,
accessed 7 September 2017.
MarketsandMarkets 2016. Blockchain Market by Provider, Application (Payments, Exchanges,
Smart Contracts, Documentation, Digital Identity, Clearing and Settlement), Organization Size,
Vertical, and Region - Global Forecast to 2021, Market Report, MarketsandMarkets.com.
Ma I
is, D. J.
. A F a e o k fo Co eptual Co t i utio s i Ma keti g. Journal of
Marketing 75(4): 136-154.
M Gi
is, M.A., Koh , J.W., a d “pilla , J.E.
1990-
. Jou al of Busi ess Logisti s
Miemczyk, J., Howard, M., and Johnsen, T.E.
A Lo gitudi al “tud of Logisti s “t ateg :
:
-235.
. D a i De elop e t a d Execution of
Closed-Loop Supply Chains: A Natural Resource-Based Vie . “uppl Chai Ma age e t: A
International Journal 21(4): 453-469.
Mille , J.W., “alda ha, J.P., Hu t, C.“., a d Mello, J.E.
Improve Firm Performan e. Jou al of Busi ess Logisti s
. Co
i i g Fo
:
al Co t ols to
-318.
Morabito, V. 2017. Business Innovation Through Blockchain: The B3 Perspective. Springer: Cham,
Switzerland.
Naka oto, “.
. Bit oi : A Pee -to-Pee Ele t o i Cash “ ste .
https://bitcoin.org/en/bitcoin-paper, accessed 12 August 2017.
42
Narayanan, A., Bonneau, J., Felten, E., Miller, A., and Goldfeder, S. 2016. Bitcoin and
Cryptocurrency Technologies: A Comprehensive Introduction. Princeton: Princeton University
Press.
Narayanan, V. G., Raman, A., and Singh, J. Age
Costs i a “uppl Chai
U e tai t a d P i e Co petitio . Ma age e t “ ie e
Neisse, R., Steri, G., and Nai-Fo i o, I.
:
ith De a d
-132.
. A Blo k hai -Based Approach for Data
A ou ta ilit a d P o e a e T a ki g. P o eedings of the 12th International Conference on
Availability, Reliability and Security, Reggio Calabria, Italy, Article No. 14: 1-9.
Oakle , T.
. )ille iu : A De e t alised “uppl Chai Ma age e t A hite tu e , White
Paper, http://www.zillerium.com/draftwhitepaperupi.pdf, accessed 22 September 2017.
Ogu deji, O.
. Blo k hai
a Dis upt the Dis upto s i U e a d Ai
. , C pto oi
News, https://www.cryptocoinsnews.com/blockchain-can-disrupt-the-disruptors-in-uber-andairbnb/, accessed 2 October 2017.
Pi ot, A., Bo te la ge , C., a d ‘oh l, H.
Co t i utio s f o
. O ga izatio of Ele t o i Ma kets:
Ne I stitutio al E o o i s. I fo
atio “o iet
:
-123.
Porter, M. 1980. Competitive Strategy : Techniques for Analyzing Industries and Competitors,
New York: Free Press.
Raval, S. 2016. Decentralized Applications: Harnessing Bitcoin’s Blockchain Technology, Beijing,
Bosto , Fa ha , “e astopol, Tok o: O ‘eill .
43
Rinehart, L.M., Eckert, J.A., Handfield, R.B., Page, T.J., and Atki , T.
. A Assess e t of
Supplier-Custo e ‘elatio ships. Journal of Business Logistics 25(1): 25-62.
‘o a o, D., a d “ h id, G.
. Be o d Bit oi : A C iti al Look at Blo k hai -Based
“ ste s. Cryptography 1(2), http://www.mdpi.com/2410-387X/1/2/15/htm, accessed 26
September 2017.
“a el e , A.
. Co t a t La
. : “ a t Co t a ts as the Begi
i g of the E d of Classi
Co t a t La . Information & Communications Technology Law 26(2): 116-134.
Simangunsong, E., Hendry, L. C., and Stevenso , M. “uppl -Chain Uncertainty: A Review and
Theoretical Foundation for Future Research.” International Journal of Production Research
50(16): 4493-4523.
“kippe , J. B., C aighead, C. W., B d, T. A., a d ‘ai e , ‘. K. To a ds a Theo eti al Fou datio
of Supply Network Interdependence and Technology-E a led Coo di atio “t ategies. ,
International Journal of Physical Distribution & Logistics Management 38(1): 39-56.
Skjoett-La se , T.
. “uppl Chai Ma age e t: A Ne Challe ge fo ‘esea he s a d
Manage s i Logisti s. International Journal of Logistics Management 10(2): 41-53.
“ta k, T.P., Pellath , D.A., I , J., Molle kopf, D.A., a d Bell, J.E.
. Ne F o tie s i Logisti s
‘esea h: Theo izi g at the Middle ‘a ge. Journal of Business Logistics 38 (1): 6-17.
Stock, J.‘.
. Appl i g Theo ies f o
Othe Dis ipli es to Logisti s. International Journal of
Physical Distribution & Logistics Management 27 (9/10): 515-539.
44
. T a ea ilit a d ‘isks: A E te ded T a sa tio
Stranieri, S., Orsi, L., and Banterle, A.
Cost Pe spe ti e. Supply Chain Management: An International Journal 22(2): 145-159.
“t e i ge , A., a d T ei l aie H.
. The I pa t of Busi ess to Co su e E-Commerce on
Organizational Structure, B a d A hite tu e, IT “t u tu e a d thei I te elatio s.
Schmalenbach Business Review 58(1): 81-113.
“ e sso , G.
. The Theo eti al Fou datio of “uppl Chai Ma age e t. International
Journal of Physical Distribution & Logistics Management 32(9): 734-754.
“ a so , D., Goel, L., F a is o, K., a d “to k, J.
. Appl i g Theo ies f o
Othe
Dis ipli es to Logisti s a d “uppl Chai Ma age e t: A “ ste ati Lite atu e ‘e ie .
Transportation Journal 56(3): 299-356.
Tapscott, D., and Tapscott, A. 2016. Blockchain Revolution: How the Technology Behind Bitcoin
is Changing Money, Business, and the World. New York: Penguin.
Tate, W.L., Doole , K.J., a d Ell a , L.M.
. T a sa tio Cost a d I stitutio al D i e s of
Supplier Adoption of Environmental P a ti es. Jou al of Busi ess Logisti s
Touboulic, A., and Walker, H.
: -16.
. Theo ies i “ustai a le Supply Chain Management: A
“t u tu ed Lite atu e ‘e ie . International Journal of Physical Distribution & Logistics
Management 45(1/2): 16-42.
Treiblmaier, H. and Strebinger, A. 2008. The Effect of E-Commerce on the Integration of IT
Structure and Brand Architecture, Information Systems Journal 18( 5): 479-498.
45
Treiblmaier, H. 2018. Optimal Levels of (De)Centralization for Resilient Supply Chai s.
International Journal of Logistics Management 29(1): 435-455.
Treiblmaier, H. and Beck, R. 2018. Business Transformation through Blockchain, Volumes I+II,
Basingstoke, England: Palgrave Macmillan.
Tschorsch, F., and Scheuermann, B. 2016. Bit oi a d Be o d: A Te h i al “u e o
De e t alized Digital Cu e ies. IEEE Co
u i atio “u e s & Tuto ials
: 2084-2123.
UK Government 2016. Distributed Ledger Technology: Beyond Block Chain. Report by the UK
Government Chief Scientific Advisor, London: Government Office for Science.
Wacker, J.G., Yang, C., and Sheu, C.
. A T a sa tio Cost E o o i s Model fo Esti ati g
Performance Effectiveness of Relational and Contractual Governance: Theory and Statistical
‘esults. I te atio al Jou al of Ope atio s & P odu tio Ma age e t 36(11): 1551-1575.
Walke , M.
. “e e “ig s of O e -H ped Fi te h. LSE Business Review. Blog Entry, London
School of Economics and Political Science,
http://blogs.lse.ac.uk/businessreview/2017/07/04/seven-signs-of-over-hyped-fintech/,
accessed 26 September 2017.
We a h, K. fo th o i g. T ust, ut Ve if : Wh the Blo k hai Needs the La . Berkeley
Technology Law Journal.
We e felt, B.
. A ‘esou e-Based Vie of the Fi
. Strategic Management Journal 5(2):
171-180.
46
Whipple, J.M., and Roh, J.
. Age
Theo
a d Qualit Fade i Bu e ‐“upplie
‘elatio ships. The International Journal of Logistics Management 21(3): 338-352.
Wichmann, B.K., Carter, C.R., and Kaufmann, L. 2015. Ho to Be o e Ce t al i a I fo
al
Social Network: An Investigation of the Antecedents to Network Centrality in an Environmental
“CM I itiati e. Journal of Business Logistics 36(1): 102-119.
Willia so , O. E.
. T a sa tio Cost E o o i s: The Co pa ati e Co t a ti g
Pe spe ti e. Journal of Economic Behavior & Organization 8(4): 617-625.
Wo ld E o o i Fo u
. ‘ealizi g the Pote tial of Blo k hai : A Multistakeholde
Approa h to the “te a dship of Blo k hai a d C pto u e ies. White Paper WEF, World
Economic Forum, Geneva, Switzerland.
Yang, C.-S., and Lirn, T.-C.
. ‘e isiti g the ‘esou e-Based View on Logistics Performance
i the “hippi g I dust . International Journal of Physical Distribution & Logistics Management
47(9): 884-905.
Yao, Y., Dresner, M., and Palmer, J.W. 20
Te h olog a d Positio i Chai o Fi
. I pa t of Bou da -Spanning Information
Pe fo
a e. Journal of Supply Chain Management
45(4): 3–16.
Yigit asioglu, O.M.
. I fo
atio “ha i g ith Ke “upplie s: A T a sa tio Cost Theo
Pe spe ti e. International Journal of Physical Distribution & Logistics Management 40(7): 550578.
47
)sidisi , G.A., a d Ell a , L.M.
. A Age
Theo
I estigatio of “uppl ‘isk
Ma age e t. Journal of Supply Chain Management 39(2): 15-27.
Zu, X., and Kaynak, H.
. A Age
Theo
Pe spe ti e o “uppl Chai Qualit
Ma age e t. International Journal of Operations & Production Management 32(4): 423-446.
48