Short answer

Prioritize the development and demonstration of superior software quality when introducing new computing architectures to gain traction with IS managers.

Field: Innovation & Markets
Source: Journal of the Association for Information Systems (2000)
Method: Conjoint Analysis
Evidence: Strong effect

Senior Information Systems managers prioritize software quality above cost, compatibility, and third-party acceptance when adopting new computing architectures. This innovation & markets research insight is drawn from a 2000 study published in Journal of the Association for Information Systems. Using Conjoint analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize the development and demonstration of superior software quality when introducing new computing architectures to gain traction with IS managers.

Study

Innovation & MarketsHigh ImpactStrong effect

Software Quality Dominates IS Manager Decisions on New Computing Architectures

Senior Information Systems managers prioritize software quality above cost, compatibility, and third-party acceptance when adopting new computing architectures.

Journal of the Association for Information Systems · 2000

Key Findings

01Technology factors, specifically software quality, are sufficient to explain the adoption of computing architectures with low knowledge barriers and user interdependencies.
02Software quality is the most important factor considered by IS managers, with a linear effect on decisions.
03Cost is a less important factor, exhibiting non-linear and sometimes unexpected effects.
04Centralization, backward compatibility, and third-party acceptance have linear but less significant effects compared to software quality.

Application

Design takeaway

Prioritize the development and demonstration of superior software quality when introducing new computing architectures to gain traction with IS managers.

How to apply

When designing or marketing new computing architectures, conduct thorough user research to understand the specific aspects of software quality that are most valued and ensure these are highlighted in product features and communication.

Project actions

01When researching a new product, consider how software quality can be a key differentiator.
02If designing a new system, think about how to measure and prove the quality of your software.

Method & Evidence

AimTo identify and quantify the relative importance of factors influencing senior Information Systems managers' decisions to adopt new computing architectures.

MethodConjoint Analysis

ProcedureFactors important to senior IS managers were identified and operationalized. Conjoint analysis was then used to measure the relative importance of these factors and the linearity of their effects on decision-making regarding computing architecture adoption.

ContextInformation Systems adoption within organizations

Variables

IV["Software quality","Cost","Centralization","Backward compatibility","Acceptance by third parties"]

DVDecision to adopt new computing architectures

CV["Organizational context","Type of computing architecture (diskless, network-based)","Role of decision-maker (Senior IS Manager)"]

Strengths & Limitations

Strengths

+Uses a robust quantitative method (conjoint analysis) to measure factor importance.
+Addresses a specific and relevant area of IS adoption.

Limitations

This study is specific to IS managers and computing architectures; results might differ for other roles or technologies.

Reliability & validity

Conjoint analysis is a well-established method for measuring preferences and importance. Construct validity would depend on how well the operationalized factors (e.g., software quality) truly represent the intended concepts.

Think critically

To what extent does the 'low knowledge barrier' and 'low user interdependency' context of these computing architectures influence the prioritization of software quality over other factors?

Design Principles

"For innovations with low knowledge barriers and user interdependencies, emphasize intrinsic technological attributes like software quality in decision-making models."

Understanding the key decision drivers for technology adoption is crucial for product development and market positioning. This insight highlights that focusing on robust software solutions can be a more effective strategy than solely competing on price or other logistical factors.

What This Means for Your Design

When companies choose new computer systems that run over a network, the managers in charge care most about how good the software is. They care less about the price or if other companies use it.

How to use in your project

1.Use this insight to justify prioritizing software development and testing in your design project.
2.If your project involves technology adoption, consider how software quality might influence the decision-making process.

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Quick Cite

Paragraph starter

Research indicates that for organizational adoption of computing architectures with low knowledge barriers, software quality emerges as the most significant decision-making factor for Information Systems managers, outweighing considerations such as cost, centralization, and third-party acceptance. This suggests that a strong emphasis on the reliability and functionality of the software component is paramount for successful market penetration and adoption in such contexts.

Source

Journal of the Association for Information Systems

A Study of Senior Information Systems Managers' Decision Models in Adopting New Computing Architectures

journal · 2000

View source

Questions About This Research

What does the research say about software quality dominates is manager decisions on new computing architectures?: Prioritize the development and demonstration of superior software quality when introducing new computing architectures to gain traction with IS managers. Evidence: Journal of the Association for Information Systems (2000).
Why does "Software Quality Dominates IS Manager Decisions on New Computing Architectures" matter for design?: Understanding the key decision drivers for technology adoption is crucial for product development and market positioning. This insight highlights that focusing on robust software solutions can be a more effective strategy than solely competing on price or other logistical factors.
How can designers apply this research?: Prioritize the development and demonstration of superior software quality when introducing new computing architectures to gain traction with IS managers.
What were the main findings?: Technology factors, specifically software quality, are sufficient to explain the adoption of computing architectures with low knowledge barriers and user interdependencies.. Software quality is the most important factor considered by IS managers, with a linear effect on decisions.. Cost is a less important factor, exhibiting non-linear and sometimes unexpected effects.. Centralization, backward compatibility, and third-party acceptance have linear but less significant effects compared to software quality.
What research method was used?: Conjoint Analysis.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2000 journal from Journal of the Association for Information Systems.
What should I do differently in my next project?: When designing or marketing new computing architectures, conduct thorough user research to understand the specific aspects of software quality that are most valued and ensure these are highlighted in product features and communication.
What are the limitations?: The study focuses on IS managers and may not fully capture the perspectives of end-users or other stakeholders. The findings are specific to computing architectures and may not generalize to all types of IS innovations.