Abstract:
Asymmetric information within a transaction can cause a great deal of harm to a buyer or a
seller who is not aware of the disparity of the information provided. This research explored
the causes of asymmetric information in a high-value low-frequency transaction (HVLFT).
Many factors contribute to asymmetric information, and these are especially prevalent in an
HVLFT. The two main differentiating characteristics of an HVLFT are the low frequency and
the high value associated with this type of transaction. If a transaction has a low frequency,
the valuation of the asset becomes harder to ascertain. Because of this low frequency, it is also
harder for a buyer or seller to learn from previous experiences. The high value of an asset
increases the tension between the seller and the buyer. With conflicting objectives, the seller
is not motivated to address asymmetric information.
Information that could be relevant to the buyer might not be shared by the seller, because this
information could negatively influence the financial gain from the seller’s perspective. These
HVLFTs are generalisable to numerous industries, such as marine, jewellery, automotive and
real estate. The real estate industry is a prime example of the aforementioned problems and
issues. This research addresses the causation of asymmetric information in an HVLFT and
provides procedural and technological artefacts to counterbalance asymmetric information in
an HVLFT, using the New Zealand real estate industry as an exemplar.
This thesis expands on asymmetric information in the context of an HVLFT, through a review
of the literature on stakeholders, decision-making, decision support, knowledge, knowledge
management and knowledge management systems. The literature review and pilot study led
to the creation of four conceptual artefacts to address asymmetry between the buyer and seller
and to illuminate asymmetric information in an HVLFT. The artefacts highlighted the
interactions between the various stakeholders and led to the conceptualisation of the research
questions and objectives that guide this research.
The initial part of the research was supported by a pilot study expanding on and validating the
problems and issues as mentioned above. This pilot study also resulted in the proposal of a
number of nascent procedural artefacts that illuminated the vortex between tacit and explicit
knowledge as a key contributor to asymmetric information, particularly in the context of an
HVLFT. Exploring this vortex, where tacit or explicit knowledge has been lost, distorted,
suppressed, misrepresented or misappropriated, intentionally or unintentionally, resulted in
the synthesis of a new knowledge dimension (X). These artefacts illuminate and bridge the
chasm of decision-making, asymmetric information, noise in a transaction and how
information is used or misused between the various stakeholders in an HVLFT.
A case study was conducted to explore and flesh out the nascent ideas, models and procedural
artefacts proposed in the pilot study. The case study was conducted over a period of six
months, among key stakeholders involved in a New Zealand real estate transaction. The case
study focused on the decision-making process and the information flows seen from the
perspective of different stakeholders involved in an HVLFT. Based on this case study, a new
model of knowledge was proposed, articulated and applied. This model explicitly
acknowledges the new knowledge dimension (X) and the dark side of knowledge. This
knowledge model suggests the need for the application of convergent technologies to
ameliorate the risk and asymmetricity caused by the dark side of knowledge and enhance
governance in the context of an HVLFT.
Finally, four proof of concept system artefacts were created based on the information collected
from the pilot study, case study and literature. These artefacts help in counterbalancing,
bridging and illuminating asymmetric information through system dynamic models,
gamification, blockchain architecture and a decision support app.
The conceptual, procedural and systems artefacts are intertwined and validate each other.
Furthermore, these artefacts were evaluated through a number of design science principles,
guidelines and mechanisms. All artefacts were presented at three top tier conferences and
published in their proceedings (HICSS 2020, HICSS 2021 and AMCIS 2020) and CCIS
Springer series (FNSS 2019) and Springer Lecture Notes in Computer Science (ICCASA
2020). Furthermore, a paper that fleshes out the key artefacts of this thesis has been published
in the journal of Decision Support Systems (A* ABDC).