Huang and Rust (2021)

The strategic framework for AI in marketing developed by Huang and Rust (2021) is based on which circular process?

Mechanical AI \(\rightarrow\) Thinking AI \(\rightarrow\) Feeling AIMarketing Research \(\rightarrow\) Marketing Strategy (STP) \(\rightarrow\) Marketing ActionProduct \(\rightarrow\) Price \(\rightarrow\) Place \(\rightarrow\) Promotion (4Ps)Plan \(\rightarrow\) Do \(\rightarrow\) Check \(\rightarrow\) Act (PDCA)

The framework is explicitly stated as a three-stage strategic planning cycle, starting with marketing research, moving to marketing strategy (STP), and concluding with marketing actions. This cycle is also visually represented in Figure 1.

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The strategic framework for AI in marketing developed by Huang and Rust (2021) is based on which circular process?

Mechanical AI \(\rightarrow\) Thinking AI \(\rightarrow\) Feeling AIMarketing Research \(\rightarrow\) Marketing Strategy (STP) \(\rightarrow\) Marketing ActionProduct \(\rightarrow\) Price \(\rightarrow\) Place \(\rightarrow\) Promotion (4Ps)Plan \(\rightarrow\) Do \(\rightarrow\) Check \(\rightarrow\) Act (PDCA)

The framework is explicitly stated as a three-stage strategic planning cycle, starting with marketing research, moving to marketing strategy (STP), and concluding with marketing actions. This cycle is also visually represented in Figure 1.

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• True
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• False

The strategic framework for AI in marketing developed by Huang and Rust (2021) is based on which circular process?

Plan \(\rightarrow\) Do \(\rightarrow\) Check \(\rightarrow\) Act (PDCA)Marketing Research \(\rightarrow\) Marketing Strategy (STP) \(\rightarrow\) Marketing ActionMechanical AI \(\rightarrow\) Thinking AI \(\rightarrow\) Feeling AIProduct \(\rightarrow\) Price \(\rightarrow\) Place \(\rightarrow\) Promotion (4Ps)

The framework is explicitly stated as a three-stage strategic planning cycle, starting with marketing research, moving to marketing strategy (STP), and concluding with marketing actions. This cycle is also visually represented in Figure 1.

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Which type of Artificial Intelligence is primarily designed for automating repetitive and routine tasks, such as data collection and classification algorithms?

Mechanical AIThinking AIFeeling AIRelational AI

Mechanical AI is defined as being designed for automating repetitive and routine tasks

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Which type of Artificial Intelligence is primarily designed for automating repetitive and routine tasks, such as data collection and classification algorithms?

Relational AIThinking AIFeeling AIMechanical AI

Mechanical AI is defined as being designed for automating repetitive and routine tasks

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Which type of Artificial Intelligence is primarily designed for automating repetitive and routine tasks, such as data collection and classification algorithms?

Mechanical AIFeeling AIThinking AIRelational AI

Mechanical AI is defined as being designed for automating repetitive and routine tasks

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According to the framework, which AI intelligence is best suited for the Targeting decision (recommending the best segment(s) to focus marketing actions on)?

Thinking AI (for segment recommendation)Analytical AIFeeling AI (for segment resonance)Mechanical AI (for segment recognition)

In the marketing strategy (STP) stage, thinking AI is used for targeting (segment recommendation)

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According to the framework, which AI intelligence is best suited for the Targeting decision (recommending the best segment(s) to focus marketing actions on)?

Thinking AI (for segment recommendation)Mechanical AI (for segment recognition)Analytical AIFeeling AI (for segment resonance)

In the marketing strategy (STP) stage, thinking AI is used for targeting (segment recommendation)

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According to the framework, which AI intelligence is best suited for the Targeting decision (recommending the best segment(s) to focus marketing actions on)?

Feeling AI (for segment resonance)Thinking AI (for segment recommendation)Analytical AIMechanical AI (for segment recognition)

In the marketing strategy (STP) stage, thinking AI is used for targeting (segment recommendation)

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What is the unique marketing benefit that Thinking AI is best at providing, primarily due to its ability to recognize patterns in unstructured data?

Personalization (due to pattern recognition)Relationalization (due to capability to recognize and respond to emotions)Data Collection (due to automation)Standardization (due to consistency)

Thinking AI provides personalization benefits because of its ability to recognize patterns from data.

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What is the unique marketing benefit that Thinking AI is best at providing, primarily due to its ability to recognize patterns in unstructured data?

Standardization (due to consistency)Personalization (due to pattern recognition)Data Collection (due to automation)Relationalization (due to capability to recognize and respond to emotions)

Thinking AI provides personalization benefits because of its ability to recognize patterns from data.

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What is the unique marketing benefit that Thinking AI is best at providing, primarily due to its ability to recognize patterns in unstructured data?

Standardization (due to consistency)Personalization (due to pattern recognition)Data Collection (due to automation)Relationalization (due to capability to recognize and respond to emotions)

Thinking AI provides personalization benefits because of its ability to recognize patterns from data.

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At the Marketing Research stage, what is the specific role of Feeling AI?

Data collection (e.g., automated sensing and tracking)Segmentation (e.g., identifying novel customer preference patterns)Customer understanding (e.g., using emotional data to understand needs and wants)Market analysis (e.g., using analytics to identify competitors)

At the marketing research stage, Feeling AI is used for customer understanding. The distinction is that customer understanding often involves emotional data, which Feeling AI is designed to analyze.

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At the Marketing Research stage, what is the specific role of Feeling AI?

Market analysis (e.g., using analytics to identify competitors)Segmentation (e.g., identifying novel customer preference patterns)Customer understanding (e.g., using emotional data to understand needs and wants)Data collection (e.g., automated sensing and tracking)

At the marketing research stage, Feeling AI is used for customer understanding. The distinction is that customer understanding often involves emotional data, which Feeling AI is designed to analyze.

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At the Marketing Research stage, what is the specific role of Feeling AI?

Segmentation (e.g., identifying novel customer preference patterns)Data collection (e.g., automated sensing and tracking)Customer understanding (e.g., using emotional data to understand needs and wants)Market analysis (e.g., using analytics to identify competitors)

At the marketing research stage, Feeling AI is used for customer understanding. The distinction is that customer understanding often involves emotional data, which Feeling AI is designed to analyze.

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In the Marketing Action stage for Product/Consumer decisions, what is an example of a function where Mechanical AI provides the benefit of standardization?

Training bots to have a brand personality.Automate the process and output of meeting customer needs and wants.Using ML to recommend programs according to the viewer's mood.Personalizing products based on customer preferences.

Mechanical AI's strategic element for Product/Consumer is Standardization. The table states it is used to "Automate the process and output of meeting customer needs and wants

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In the Marketing Action stage for Product/Consumer decisions, what is an example of a function where Mechanical AI provides the benefit of standardization?

Training bots to have a brand personality.Using ML to recommend programs according to the viewer's mood.Personalizing products based on customer preferences.Automate the process and output of meeting customer needs and wants.

Mechanical AI's strategic element for Product/Consumer is Standardization. The table states it is used to "Automate the process and output of meeting customer needs and wants

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In the Marketing Action stage for Product/Consumer decisions, what is an example of a function where Mechanical AI provides the benefit of standardization?

Using ML to recommend programs according to the viewer's mood.Personalizing products based on customer preferences.Training bots to have a brand personality.Automate the process and output of meeting customer needs and wants.

Mechanical AI's strategic element for Product/Consumer is Standardization. The table states it is used to "Automate the process and output of meeting customer needs and wants

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A major limitation of current Thinking AI discussed in the article is its opaqueness, which means:

It cannot handle multimodal emotional data.It is not scalable for individual-level prediction.It is not capable of emotional empathy.It often provides unexplainable output because it does not answer the "why" question of its recommendations.

The limitations section on Thinking AI discusses "Opaque AI," noting that the output is unexplainable because it does not answer the "why" question.

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A major limitation of current Thinking AI discussed in the article is its opaqueness, which means:

It often provides unexplainable output because it does not answer the "why" question of its recommendations.It cannot handle multimodal emotional data.It is not scalable for individual-level prediction.It is not capable of emotional empathy.

The limitations section on Thinking AI discusses "Opaque AI," noting that the output is unexplainable because it does not answer the "why" question.

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A major limitation of current Thinking AI discussed in the article is its opaqueness, which means:

It is not scalable for individual-level prediction.It often provides unexplainable output because it does not answer the "why" question of its recommendations.It is not capable of emotional empathy.It cannot handle multimodal emotional data.

The limitations section on Thinking AI discusses "Opaque AI," noting that the output is unexplainable because it does not answer the "why" question.

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Which specific task related to the Price (Cost) marketing action is best suited for Feeling AI, due to its interactive nature?

ML for price optimization by product, channel, and customer.Automatic payment.Interactive price negotiation.Personalized pricing based on customer willingness to pay.

In the Price/Cost section of the Strategic Framework table, the function of Feeling AI is "Negotiate price and justify the cost interactively"

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Which specific task related to the Price (Cost) marketing action is best suited for Feeling AI, due to its interactive nature?

ML for price optimization by product, channel, and customer.Personalized pricing based on customer willingness to pay.Interactive price negotiation.Automatic payment.

In the Price/Cost section of the Strategic Framework table, the function of Feeling AI is "Negotiate price and justify the cost interactively"

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Which specific task related to the Price (Cost) marketing action is best suited for Feeling AI, due to its interactive nature?

ML for price optimization by product, channel, and customer.Interactive price negotiation.Automatic payment.Personalized pricing based on customer willingness to pay.

In the Price/Cost section of the Strategic Framework table, the function of Feeling AI is "Negotiate price and justify the cost interactively"

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The article notes that customer resistance and negative responses are boundary conditions for using AI in certain marketing actions. Customers have shown resistance towards:

Automated packaging and delivery using Mechanical AI.Products/services related to their identity, personal medical AI, and anthropomorphized consumer robots.NLP chatbots for routine service inquiries.Price personalization using Thinking AI.

Customers may be resistant to personal medical AI , identity-based consumption automation , and anthropomorphized consumer robots.

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The article notes that customer resistance and negative responses are boundary conditions for using AI in certain marketing actions. Customers have shown resistance towards:

NLP chatbots for routine service inquiries.Price personalization using Thinking AI.Automated packaging and delivery using Mechanical AI.Products/services related to their identity, personal medical AI, and anthropomorphized consumer robots.

Customers may be resistant to personal medical AI , identity-based consumption automation , and anthropomorphized consumer robots.

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The article notes that customer resistance and negative responses are boundary conditions for using AI in certain marketing actions. Customers have shown resistance towards:

Price personalization using Thinking AI.Products/services related to their identity, personal medical AI, and anthropomorphized consumer robots.NLP chatbots for routine service inquiries.Automated packaging and delivery using Mechanical AI.

Customers may be resistant to personal medical AI , identity-based consumption automation , and anthropomorphized consumer robots.

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The article states an important qualification regarding Feeling AI in current practice:

True Feeling AI does not exist yet; current practice uses Thinking AI to analyze emotional data and two-way interactions.It is the most advanced form of AI and is fully capable of recognizing, emulating, and responding appropriately to all human emotions.It is often combined with Mechanical AI to handle repetitive emotional tasks.Its primary application is limited to the Distribution/Logistics stage of marketing action.

The paper explicitly states, "we do not have true feeling AI yet" and that the current practice is to use thinking AI to analyze emotional data (affective analytics) and two-way interactions (chatbots and social bots)

• True
• False
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The article states an important qualification regarding Feeling AI in current practice:

It is often combined with Mechanical AI to handle repetitive emotional tasks.True Feeling AI does not exist yet; current practice uses Thinking AI to analyze emotional data and two-way interactions.It is the most advanced form of AI and is fully capable of recognizing, emulating, and responding appropriately to all human emotions.Its primary application is limited to the Distribution/Logistics stage of marketing action.

The paper explicitly states, "we do not have true feeling AI yet" and that the current practice is to use thinking AI to analyze emotional data (affective analytics) and two-way interactions (chatbots and social bots)

• False
• True
• False
• False

The article states an important qualification regarding Feeling AI in current practice:

Its primary application is limited to the Distribution/Logistics stage of marketing action.It is the most advanced form of AI and is fully capable of recognizing, emulating, and responding appropriately to all human emotions.True Feeling AI does not exist yet; current practice uses Thinking AI to analyze emotional data and two-way interactions.It is often combined with Mechanical AI to handle repetitive emotional tasks.

The paper explicitly states, "we do not have true feeling AI yet" and that the current practice is to use thinking AI to analyze emotional data (affective analytics) and two-way interactions (chatbots and social bots)

• False
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