Knowledge for Business Innovation in Software Industries

2018 ◽  
pp. 132-149
Author(s):  
Dileep Baburao Baragde
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Business Innovation

Business innovation is almost limitless with the advent of software industries and latest technology. The purpose of this chapter is to explore different concepts regarding knowledge for Business Innovation and describe it for Software Industries. The chapter contributes to the literature by describing Business Innovation, their types, role, scope, opportunities and its requirement especially in Software Industries; and role played by knowledge for Business Innovation. The outcome shows how knowledge helps for robustness in decision making. Whereas traditional business innovation often focuses on balancing engineering and finances in order to create functional utility for consumers, design thinking focuses first on what customers desire in order to create emotional values.

Knowledge for Business Innovation in Software Industries

2020 ◽  
pp. 1001-1018
Author(s):  
Dileep Baburao Baragde
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Business Innovation

Business innovation is almost limitless with the advent of software industries and latest technology. The purpose of this chapter is to explore different concepts regarding knowledge for Business Innovation and describe it for Software Industries. The chapter contributes to the literature by describing Business Innovation, their types, role, scope, opportunities and its requirement especially in Software Industries; and role played by knowledge for Business Innovation. The outcome shows how knowledge helps for robustness in decision making. Whereas traditional business innovation often focuses on balancing engineering and finances in order to create functional utility for consumers, design thinking focuses first on what customers desire in order to create emotional values.

Why Is Safe Science Good Science?

2018 ◽  
Author(s):  
Camilla Kao ◽  
Che-I Kao ◽  
Russell Furr
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Good Science ◽  
Safety Issues ◽  
Safety Requirements ◽  
The Arts ◽  
Hands On ◽  
Obvious Benefit ◽  
New Ideas

In science, safety can seem unfashionable. Satisfying safety requirements can slow the pace of research, make it cumbersome, or cost significant amounts of money. The logic of rules can seem unclear. Compliance can feel like a negative incentive. So besides the obvious benefit that safety keeps one safe, why do some scientists preach "safe science is good science"? Understanding the principles that underlie this maxim might help to create a strong positive incentive to incorporate safety into the pursuit of groundbreaking science.<div><br></div><div>This essay explains how safety can enhance the quality of an experiment and promote innovation in one's research. Being safe induces a researcher to have <b>greater control</b> over an experiment, which reduces the <b>uncertainty</b> that characterizes the experiment. Less uncertainty increases both <b>safety</b> and the <b>quality</b> of the experiment, the latter including <b>statistical quality</b> (reproducibility, sensitivity, etc.) and <b>countless other properties</b> (yield, purity, cost, etc.). Like prototyping in design thinking and working under the constraint of creative limitation in the arts, <b>considering safety issues</b> is a hands-on activity that involves <b>decision-making</b>. Making decisions leads to new ideas, which spawns <b>innovation</b>.</div>

Organizing the Design Thinking Toolbox: Supporting the Requirements Elicitation Decision Making

2021 ◽  
Author(s):  
Maria Meireles ◽  
Anderson Souza ◽  
Tayana Conte ◽  
José Maldonado
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Requirements Elicitation

Educating Marketing Students to Understand Designers’ Thought-Worlds

2021 ◽  
pp. 027347532110389
Author(s):  
Janneke Blijlevens
Keyword(s):  
Decision Making ◽  
Critical Thinking ◽  
Creative Thinking ◽  
Design Thinking ◽  
Approaches To Teaching ◽  
Educational Framework ◽  
Teaching Design ◽  
Innovation Teams ◽  
Successful Innovation ◽  
Thought Worlds

Marketers and designers are likely to work together on innovation teams as they both have customer satisfaction as their end goals. Collaboration between these disciplines in innovation teams is often impaired due to the different thought-worlds that drive decision making: intuitive versus rational. To facilitate collaboration between design and marketing it is valuable to teach marketers about designers’ ways of thinking. Approaches to teaching design thinking to marketing students often focus on students becoming more creative, intuitive, and innovative themselves. However, the integration of the two disciplines does not require that marketers become designers, and vice versa, as both bring unique skills necessary for successful innovation. An educational framework is presented that aims to teach marketing students an understanding of the thought-world of design thinking rather than to become design thinkers themselves. The focus is on recognizing how the others’ approach to the same goals are complementary to their own approaches instead of being different or “wrong.” This framework is unique in aligning design thinking phases with critical thinking phases—marketing students’ dominant thinking style—through specifically chosen aictivities to scaffold the understanding of an intuitive, divergent, and creative thinking approach to the development of innovative marketing ideas.

Design Thinking for Challenges and Change in K–12 and Teacher Education

2020 ◽  
pp. 155545892097546
Author(s):  
Michele Parker ◽  
Laura Cruz ◽  
Daniela Gachago ◽  
Jolanda Morkel
Keyword(s):  
Decision Making ◽  
Teacher Education ◽  
Design Thinking ◽  
Special Issue ◽  
Collaborative Decision Making ◽  
The Real ◽  
Multiple Voices ◽  
Real Change ◽  
K 12 ◽  
Collaborative Decision

Common to all the cases included in this special issue, we observed a degree of collaborative decision-making that is human-centered and shows empathy. Through it, multiple voices are acknowledged and heard. These cases demonstrate the beginning of a process of contextualization of Design Thinking in K–12 and teacher education. We hope that this special issue will prompt conversations to explore and critique the possibilities and imagine the real change that it might bring.

Ripensare gli indicatori per le politiche per l’innovazione attraverso il Design-thinking

2021 ◽  
pp. 149-161
Author(s):  
Mauro Lombardi
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Implementation Process ◽  
Decision Making Process ◽  
Global Order ◽  
Multi Level ◽  
Multi Stakeholder ◽  
Different Levels ◽  
Systemic View

The final chapter contains the proposal to rethink the policies for innovation based on the approach defined Design thinking. Particularly important is the introduction of concepts such as global order parameters, referring to a systemic view of the techno-economic dynamics, and of a complementary methodology, called Agile. Based on the proposed framework, the decision-making space of different actors (private, public) in pursuing objectives at different levels is then analyzed. In this way a multi-level and multi-stakeholder decision making process can be enriched through a multiplicity of indicators in order to timely verify the efficiency of implementation process.

scholarly journals Artisanal Fashion Design: Entrepreneurs on Thinking, Process, and Decision Making

2021 ◽  
Author(s):  
Robert Ott
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Design Thinking ◽  
Fashion Design ◽  
Small Scale ◽  
Fashion Industry ◽  
Structured Interviews ◽  
Manufacturing Enterprises ◽  
Thinking Process ◽  
Fashion Designers

This thesis examines the ways in which fashion designers think about themselves, the design process, and the fashion industry. Recent interest in design thinking has brought decision making to the forefront in an effort to resolve conflicts between creative individuals and managers during the design process. Within the fashion design literature there are studies of processes in large fashion manufacturing enterprises but very little has focused on small-scale fashion design entrepreneurs. In this inductive, qualitative study, I use grounded theory as the methodology in the analysis of semi-structured interviews of twelve Canadian fashion design entrepreneurs. The findings explore their perceptions of their identity as designers, their perceptions of design process, and their relationship to their business. This research has developed the concept of “artisanal fashion design” as a distinct subset of design for further study and for consideration by organizations, the fashion industry, and educators.

scholarly journals Self-augmenting Knowledge Base for Informed Decision Making With Biomedical Applications in Cancer Diagnosis

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Design Thinking ◽  
Industrial Process ◽  
Informed Decision ◽  
Agile Development ◽  
International Agency ◽  
Informed Decision Making ◽  
Voluntary Standards ◽  
Apparel Companies

Fuzzy sets methodology to automatically generate knowledge base for informed decision making is proposed. As a proof of concept it has initially been applied to generate regulatory/health/environmental guidance rules for textile and apparel companies. Subsequently, the system will be augmented to incorporate additional consumer goods, and down the road, after some modifications, could be utilized as a much needed health care disruptor tool in personalized medicine for both patients and clinicians. The apparel category provides for a diverse set of mandatory regulations and some voluntary standards. Mandatory requirements such as CPSIA, FTC for Care and Textile labelling, in addition to AATCC requirements for colourfastness and formaldehyde were taken into consideration. Initial focus was on carcinogenic dyes and pigments. Databases from the International Agency for Research on Cancer (IARC), the US National Toxicology Program (NTP) are to be incorporated, in conjunction with computational intelligence, to identify potential toxins or carcinogens present in the industrial process or the final product, thus alerting manufactures and consumers through a user-friendly interface. This capability can be quickly developed and validated using modern software product development approaches incorporating Design Thinking, Agile Development with Scrum, and Business Model Generation to get this to market where key benefits can be derived

The big data regime shift in real estate

2020 ◽  
Vol 38 (4) ◽  
pp. 363-395 ◽  
Author(s):  
James R. DeLisle ◽  
Brent Never ◽  
Terry V. Grissom
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Real Estate ◽  
Urban Areas ◽  
Regime Shift ◽  
Design Thinking ◽  
Future Research ◽  
Content Type ◽  
Data Movement ◽  
Support Decision Making

PurposeThe paper explores the emergence of the “big data regime” and the disruption that it is causing for the real estate industry. The paper defines big data and illustrates how an inductive, big data approach can help improve decision-making.Design/methodology/approachThe paper demonstrates how big data can support inductive reasoning that can lead to enhanced real estate decisions. To help readers understand the dynamics and drivers of the big data regime shift, an extensive list of hyperlinks is included.FindingsThe paper concludes that it is possible to blend traditional and non-traditional data into a unified data environment to support enhanced decision-making. Through the application of design thinking, the paper illustrates how socially responsible development can be targeted to under-served urban areas and helps serve residents and the communities in which they live.Research limitations/implicationsThe paper demonstrates how big data can be harnessed to support decision-making using a hypothetical project. The paper does not present advanced analytics but focuses aggregating disparate longitudinal data that could support such analysis in future research.Practical implicationsThe paper focuses on the US market, but the methodology can be extended to other markets where big data is increasingly available.Social implicationsThe paper illustrates how big data analytics can be used to help serve the needs of marginalized residents and tenants, as well as blighted areas.Originality/valueThis paper documents the big data movement and demonstrates how non-traditional data can support decision-making.

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