Study
Innovation & DesignRecentStrong effect

Technology and organizational readiness are key drivers for robotic adoption in hotels, not external environment.

Hotel managers are more likely to adopt robotic technologies when the technology itself is perceived as beneficial and the organization has the internal capacity and structure to support it, rather than being influenced by external market conditions.

Indonesian Journal of Sustainability Accounting and Management · 2023

01

Key Findings

  • 01Technology factors significantly influence the intention to adopt robotic technologies.
  • 02Organizational factors significantly influence the intention to adopt robotic technologies.
  • 03Environmental factors do not significantly influence the intention to adopt robotic technologies.
02

Application

Design takeaway

Prioritize technological appeal and internal organizational preparedness over external environmental pressures when strategizing the adoption of new robotic technologies in the hotel sector.

How to apply

When proposing robotic solutions to hotels, highlight how the technology directly enhances operations and guest experience, and work with management to ensure the hotel has the necessary infrastructure, training, and support systems in place.

Project actions

  • 01When researching technology adoption, consider both the product's features and the user's environment.
  • 02Use statistical modeling to understand complex relationships between different factors.
03

Method & Evidence

AimWhat are the primary technological and organizational factors that influence hotel managers' intentions to adopt robotic technologies, and to what extent does the external environment play a role?
MethodQuantitative survey and structural equation modeling (PLS-SEM).
ProcedureA questionnaire was distributed to hotel managers to gather data on their perceptions of technology, organization, and environment in relation to robotic technology adoption. The data were then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to determine the relationships between these factors and the managers' adoption intentions.
Sample396 participants
ContextHotel industry

Variables

IV["Technology factors","Organizational factors","Environmental factors"]
DVIntention to adopt robotic technologies
04

Strengths & Limitations

Strengths

  • +Uses a robust statistical method (PLS-SEM) for analysis.
  • +Applies a recognized theoretical framework (TOE).

Limitations

The findings might not apply to all regions or industries, as external factors can vary.

Reliability & validity

The study's reliability and validity would depend on the questionnaire's design, the sampling method, and the statistical analysis's appropriateness. PLS-SEM is a suitable method for this type of research.

Think critically

Could the environmental factor have been measured differently, or are there specific environmental conditions under which it *would* become significant?

05

Design Principles

"Successful technology adoption hinges on intrinsic technological value and organizational receptiveness."

This insight is crucial for technology providers and hotel management when planning the implementation of new robotic systems. Focusing on the technological advantages and ensuring internal organizational alignment can significantly increase the likelihood of successful adoption, leading to improved efficiency and guest satisfaction.

06

What This Means for Your Design

Hotels are more likely to start using robots if the robots are good and the hotel is ready for them, not just because the market is pushing for it.

How to use in your project

  • 1.This research can inform the justification for choosing specific technologies or design approaches in your project, by demonstrating the importance of user readiness.
07

Add to My Project

08

Quick Cite

(2023). The Age of Artificial Intelligence: The Effect of Technology- Organization-Environment on Intention to Adopt Robotic Technologies in Hotel Businesses. Indonesian Journal of Sustainability Accounting and Management. https://doi.org/10.28992/ijsam.v7i2.731 Retrieved from https://designdex.org/study/68903429-fb52-43a2-9a65-d048b0db6081/technology-and-organizational-readiness-are-key-drivers-for-robotic-adoption-in-hotels-not-external-environment

Paragraph starter

Research indicates that the adoption of new technologies, such as robotics in the hospitality sector, is primarily driven by the perceived technological advantages and the organization's internal capacity for integration, rather than external market pressures. This suggests that focusing on the intrinsic value of the technology and ensuring organizational readiness is paramount for successful implementation.

09

Source

Indonesian Journal of Sustainability Accounting and Management

The Age of Artificial Intelligence: The Effect of Technology- Organization-Environment on Intention to Adopt Robotic Technologies in Hotel Businesses

journal · 2023

View source

Questions about this research

What does the research say about technology and organizational readiness are key drivers for robotic adoption in hotels, not external environment?
Prioritize technological appeal and internal organizational preparedness over external environmental pressures when strategizing the adoption of new robotic technologies in the hotel sector. Evidence: Indonesian Journal of Sustainability Accounting and Management (2023).
Why does "Technology and organizational readiness are key drivers for robotic adoption in hotels, not external environment." matter for design?
This insight is crucial for technology providers and hotel management when planning the implementation of new robotic systems. Focusing on the technological advantages and ensuring internal organizational alignment can significantly increase the likelihood of successful adoption, leading to improved efficiency and guest satisfaction.
How can designers apply this research?
Prioritize technological appeal and internal organizational preparedness over external environmental pressures when strategizing the adoption of new robotic technologies in the hotel sector.
What were the main findings?
Technology factors significantly influence the intention to adopt robotic technologies.. Organizational factors significantly influence the intention to adopt robotic technologies.. Environmental factors do not significantly influence the intention to adopt robotic technologies.
What research method was used?
Quantitative survey and structural equation modeling (PLS-SEM). with 396 participants.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2023 journal from Indonesian Journal of Sustainability Accounting and Management.
What should I do differently in my next project?
When proposing robotic solutions to hotels, highlight how the technology directly enhances operations and guest experience, and work with management to ensure the hotel has the necessary infrastructure, training, and support systems in place.
What are the limitations?
The study focused on specific provinces in Turkey, and the environmental factor's lack of significance might be context-dependent.
Is there evidence that robotic affects design outcomes?
The study found that the perceived benefits and suitability of the robotic technology itself, along with the hotel's internal readiness (structure, resources, management support), are the main drivers for adopting these innovations. External market pressures or conditions had little impact on this decision. This insigh Source: Indonesian Journal of Sustainability Accounting and Management (2023).
Where does this robotic technologies research apply?
Hotel industry It sits within innovation & design research on designdex.org.

Related research topics

robotic design research · evidence on robotic · does robotic improve design outcomes · robotic technologies studies for designers · robotic and robotic technologies findings · innovation & design research evidence