Trust is the currency of today and will be central to defining the winners of tomorrow.
Why trust is the keyHow we can help
Start hereWhitepaper
Start hereWhitepaper
Trust is the currency of today and will be central to defining the winners of tomorrow.
Since AI’s effectiveness and reliability depend on access to vast amounts of real-world data, companies and users face a paradox: they must build and rely on machines they don’t fully trust to achieve better outcomes. Bridging the trust gap requires a solid understanding of the concept of trust. This is a crucial prerequisite for confidently embracing the transformative potential of technology.
Human-machine trust refers to the confidence individuals place in a machine’s intelligence, believing it is reliable, effective, and capable of helping them achieve their goals.
Advances in information and communications technology combined with exponential growth in data, have given rise to a more empowered consumer. Today, the majority of digital businesses rely on an ad-centric, data driven business model. However, they have missed and often intentionally neglected the opportunity to establish a trust-based relationship with their customers. Users are forced to blindly trust in fair and lawful conduct. The steady erosion of privacy results in pervasive concerns regarding the use of personal data.
Although today’s internet users are very much concerned about privacy and the integrity of their business partners, two third of consumers globally are willing to share additional personal data in exchange for additional services or discounts.
Digital leaders like Facebook and Uber are struggling to comply with upcoming requirements for transparency and accountability. In order to still be able to harness the evident value of data, companies must follow a new paradigm. They need to understand and manage trust.
The digital economy and its data-driven business models are on a journey towards trust-based customer relationships. The most critical and fragile enabler for this transformation is online trust.
Trust is the result of a deliberate calculation process. Customers screen signals from online vendors and decide whether to take the risk to get vulnerable to the actions of another party or not. Generally, these trust cues are visible and actionable.
However, the formation of trust is also largely driven by cognitive structures that are not directly actionable. In our metaphor, these trust constructs lie below the waterline.
The iceberg trust model draws on recent findings from socio- and neuroeconomic research. Researchers have come a long way in analyzing online trust. We combine these findings into a framework that not only allows understanding how online users actually trust but rather identifying where businesses can take influence.
Trust plays a central role in helping consumers overcome perceptions of risk and insecurity (McKnight, 2002)
Research in behavioral economics indicates clearly that humans don’t always act rationally as implied by traditional economics. Digital transformation makes this fact even more transparent. Our brain is just not made to cope with the speed technologies are about to disrupt markets, politics and society. Our decision-making is prone to biases. And that’s ok. These imperfections are part of a very effective design – A design of the brain that eventually allowed humans to thrive in evolution.
Businesses can support the customer’s decision-making process by benevolently intervening. With knowledge of effective trust cues, such behavioural interventions can help customers making the “trust leap”.
We differentiate two types of interventions that can successfully shape the customer’s choice architecture; nudges and rational overrides.
Nudges propose positive reinforcement and indirect suggestions as ways to influence the behavior and decision making of groups or individuals.
A rational override is a small moment of intentional friction that attempts to influence people’s behaviour or decision-making by intervening automatic thinking and activating reflective conscious thinking.
The “balancing act” of competing business interests and privacy requirements will be of increasing importance in the near future. Marketing often takes advantage of the consumer’s bounded rationality and their well known cognitive biases. Such a rather opportunistic approach in digital markets is not sustainable.
Electronic markets have the potential to substantially reduce information asymmetry and transaction costs. They offer effective opportunities to gain insights into needs and behaviours of customers. Extracting these insight requires respectful and farsighted handling of personal data. The digital revolution with its explosive growth of data and system complexity is about to transform industries again. In order to harness the potential of data, the digital economy and its data driven business models must get on a journey towards trust-based customer relationships.
It all starts with a better understanding of digital trust.
Meet the team!
The iceberg.team is a netwotk of data professionals hand picked to effectively build data-driven products and services.
Trust acts as a bridge from imperfect knowledge to confident action
Lukyanenko et al. 2022 - https://link.springer.com/article/10.1007/s12525-022-00605-4
"Trust is inherently probabilistic, due to the involvement of risks which in themselves have uncertain outcomes."
Volker Patent, 2016 - http://programme.exordo.com/fint2016/delegates/presentation/79/
Trust is an input condition in social systems by which supportive and collaborative activities can be encouraged in situations of uncertainty or risk.
Luhmann, 1988
"Trusting behaviour involves relinquishing control over outcomes valuable to the self"
Tanis, Postmes, 2005 - http://onlinelibrary.wiley.com/doi/10.1002/ejsp.256/abstract
"Dubium sapientiae initium - Doubt is the origin of wisdom"
René Descartes
"The trust factor opens or closes down the pace and nature of electronic commerce growth"
Keen et al. 1999
"We are what we think. All that we are arises with our thoughts. With our thoughts we make the world"
The Buddha, quoted in the Dhammapada
"We can't solve problems by using the same kind of thinking we used when we created them."
Albert Einstein
"We're not productive any more. We don't make things any more. It's all automated. What are we for, then? We're consumers, Jim."
Twelve Monkeys, 1995
Here are some learnings from this year’s data natives conference in Berlin. The conference for the data-driven generation: ...
17 November, 2017No commentVertrauen als Betriebskapital. Vielen Dank an Rita für die Zusammenfassung und an die gesamte Class of 2017 (A) für den spannenden Tag. ...
14 November, 2017No commentThere is no free lunch – but a free whitepaper –if you provide us with your email-address. If you would like to remain anonymous please consider to donate via PayPal.Donations are highly welcome – thank you!
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