Customer Experiential Knowledge's Contribution to Innovation Management

2019 ◽  
pp. 204-224
Author(s):  
Dhouha Jaziri
Keyword(s):  
Tacit Knowledge ◽  
Innovation Management ◽  
Customer Experience ◽  
Theoretical Background ◽  
Experiential Knowledge ◽  
Embedded Knowledge ◽  
Knowledge Management Theory ◽  
Definition Of ◽  
Innovation Type ◽  
Organizational Competence

Many researchers have explored the knowledge management theory. However, to the author's knowledge few were interested in the tacit knowledge construct, whether it is gained inside or outside the organization. This chapter has a challenge to analyze in-depth the embedded knowledge gained from the customer, especially as it sheds light on the role of customer experiential knowledge by defining the customer experiential knowledge. It follows an emphasis on the customer experience and its close relationships with innovation management. Hence, a thorough theoretical background is presented progressively in order to define a new organizational competence labeled CEKMC. The first part presents an overview of the knowledge status, fundamental knowledge views, the evolutionary theory to the tacit knowledge construct. The second part stresses the definition of customer tacit knowledge related to customer experience. Finally, the conclusion defines a new organizational competence relative to this knowledge while discussing its contribution, especially to the experiential innovation type.

The Tacit Knowledge-Centric Innovation

2015 ◽  
pp. 75-100 ◽  
Author(s):  
Dhouha Jaziri Bouagina ◽  
Abdelfattah Triki
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Close Relationships ◽  
Innovation Management ◽  
Theoretical Background ◽  
Experiential Knowledge ◽  
Management Theory ◽  
Embedded Knowledge ◽  
Knowledge Management Theory

Many researches have treated the knowledge management theory. However, to the authors' knowledge few were interested in the tacit knowledge construct, whether it is gained inside or outside the organization. This chapter has a challenge to analyze in-depth this embedded knowledge and to emphasize its close relationships with innovation management. Therefore, a thorough theoretical background is presented progressively. The first part presents an overview of the knowledge notion, and the related knowledge theoretical views are specified. The second part sheds light on the tacit knowledge's taxonomies and its methods of externalization. Finally, the last part examines, in particular, the contribution of the tacit knowledge to the innovation. This is done by scrutinizing the customer tacit knowledge while highlighting, especially, the key role of customer experiential knowledge.

The Tacit Knowledge Through the Customer Experience

2017 ◽  
pp. 1-29 ◽  
Author(s):  
Dhouha Jaziri-Bouagina
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Tacit Knowledge ◽  
Research Question ◽  
Strong Relationship ◽  
Customer Experience ◽  
Experiential Knowledge ◽  
Innovation Development ◽  
Consumption Experience ◽  
Tacit Knowledge Management

This chapter connects the management and marketing fields by scrutinizing the tacit knowledge management in the case of the customer experience theory. First, the theoretical and conceptual side is presented. To this regard, the tacit knowledge' importance is stressed. Likewise, a discussion of its externalization methods in reference to the customer experience theory as well as its strong relationship with the innovation development, is emphasized. Especially, the experiential innovation is targeted by this research and defended. The research question treated is: How to acquire and use the customer experiential knowledge CEK- for an experiential innovation development? Thus, CEK is conceptualized, in advance, through a deeper correspondence between the tacit knowledge taxonomies and the consumption experience dimensions. Second, the practical side presents a depth qualitative research undertaken with managers of Tunisian thalassotherapy centers to respond to the cited question. Finally, content analysis techniques, discussion of results and the practical contribution are advanced.

Creating and Capturing Value through Crowdsourcing

2018 ◽  
Keyword(s):  
Information Systems ◽  
Systems Biology ◽  
Computer Science ◽  
Open Innovation ◽  
Product Innovation ◽  
Collective Intelligence ◽  
Innovation Management ◽  
Private And Public ◽  
Definition Of ◽  
The Uk

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714, when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world’s largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. For example, the Best Paper Awards in 2012 for a record-setting three journals—the Academy of Management Review, Journal of Product Innovation Management, and Academy of Management Perspectives—were about crowdsourcing. In spite of the interest in crowdsourcing—or perhaps because of it—research on the phenomenon has been conducted in different research silos within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. The book aims to assemble papers from as many of these silos as possible since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. The papers provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both the private and public sectors.

Towards The New Episteme

2013 ◽  
pp. 45-59
Author(s):  
Zbigniew Król
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Philosophy Of Language ◽  
Explicit Knowledge ◽  
Professional Collaboration ◽  
Science Knowledge ◽  
Types Of Knowledge ◽  
New Knowledge ◽  
Definition Of ◽  
The Given

The usual horizon of knowledge science is limited to nominalism, empiricism, and naturalistic and evolutionary epistemologies. I propose to broaden this horizon by applying some other philosophical attitudes, such as a non-nominalistic philosophy of language. A basic methodology for the new episteme, including (non-nominalistic) typology and a definition of knowledge and of tacit knowledge, is proposed. Several types of knowledge and the corresponding tacit knowledge are discussed within a broadened philosophical context. There are many types of knowledge and tacit knowledge using different methods of sharing. The main problem with the effective sharing of tacit knowledge is sharing knowledge relevant to the given problem. The transfer, change and transformation of tacit knowledge into explicit knowledge are possible. An example of such a transition, which I call conceptualization, is described. Conceptualization exemplifies how new knowledge can be created with the use of tacit knowledge. A need also exists for a professional collaboration between knowledge science, knowledge management and philosophy.

Evaluation of Quantified Statements Using Gradual Numbers

2011 ◽  
pp. 246-269 ◽  
Author(s):  
Ludovic Liétard ◽  
Daniel Rocacher
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Relational Databases ◽  
Fuzzy Numbers ◽  
Theoretical Background ◽  
Definition Of ◽  
Flexible Querying

This chapter is devoted to the evaluation of quantified statements which can be found in many applications as decision making, expert systems, or flexible querying of relational databases using fuzzy set theory. Its contribution is to introduce the main techniques to evaluate such statements and to propose a new theoretical background for the evaluation of quantified statements of type “Q X are A” and “Q B X are A.” In this context, quantified statements are interpreted using an arithmetic on gradual numbers from Nf, Zf, and Qf. It is shown that the context of fuzzy numbers provides a framework to unify previous approaches and can be the base for the definition of new approaches.

Portals for Knowledge Management

2011 ◽  
pp. 795-800
Author(s):  
Lorna Uden ◽  
Marja Naaranoja
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Business Processes ◽  
Explicit Knowledge ◽  
Economic Resource ◽  
Meaningful Information ◽  
Personal Belief ◽  
Embedded Knowledge ◽  
The Difference ◽  
E Mail

Knowledge is often defined to be meaningful information. Knowledge is derived from information. What makes the difference between data and information is their organisation, and what makes the difference between information and knowledge is their interpretation (Bhatt, 2001). It is defined as a dynamic human process of justifying personal belief towards the truth (Nonaka & Takeuchi, 1995). Knowledge can also be defined as know-why, know-how, and know-who, or an intangible economic resource from which future resources will be derived (Rennie, 1999). Knowledge is built from data, which is first processed into information (i.e., relevant associations and patterns). Information becomes knowledge when it enters the system and when it is validated (collectively or individually) as a relevant and useful piece of knowledge to implement in the system (Carrillo, Anumba, & Kanara, 2000). There are three types of knowledge within any organization, individual, group, and enterprise, and that knowledge can be generally classified along the lines of being explicit, embedded, and tacit. Explicit knowledge is knowledge represented in documents, books, e-mail, and databases. Embedded knowledge is organizational knowledge found in business processes, products, and services. Tacit knowledge is undocumented knowledge that is captured during business processes by knowledge workers.

Towards The New Episteme

2010 ◽  
Vol 1 (1) ◽  
pp. 43-57
Author(s):  
Zbigniew Król
Keyword(s):  
Knowledge Management ◽  
Tacit Knowledge ◽  
Philosophy Of Language ◽  
Explicit Knowledge ◽  
Professional Collaboration ◽  
Science Knowledge ◽  
Types Of Knowledge ◽  
New Knowledge ◽  
Definition Of ◽  
The Given

The usual horizon of knowledge science is limited to nominalism, empiricism, and naturalistic and evolutionary epistemologies. I propose to broaden this horizon by applying some other philosophical attitudes, such as a non-nominalistic philosophy of language. A basic methodology for the new episteme, including (nonnominalistic) typology and a definition of knowledge and of tacit knowledge, is proposed. Several types of knowledge and the corresponding tacit knowledge are discussed within a broadened philosophical context. There are many types of knowledge and tacit knowledge using different methods of sharing. The main problem with the effective sharing of tacit knowledge is sharing knowledge relevant to the given problem. The transfer, change and transformation of tacit knowledge into explicit knowledge are possible. An example of such a transition, which I call conceptualization, is described. Conceptualization exemplifies how new knowledge can be created with the use of tacit knowledge. A need also exists for a professional collaboration between knowledge science, knowledge management and philosophy.

Information and Communication: to the Question about the Formation of Meaning

10.12737/5741 ◽  
2014 ◽  
Vol 3 (5) ◽  
pp. 16-22
Author(s):  
Решетников ◽  
Sergey Reshetnikov
Keyword(s):  
Tacit Knowledge ◽  
Point Of View ◽  
General Definition ◽  
Analysis And Synthesis ◽  
Information And Communication ◽  
Definition Of

The article continues the series of publications of the author, which take up the conclusions, following from a very general definition of communication as interaction. In this case we are talking about the problems of the sense creation and scientific truths, which are considered from the point of view of dualism logics of the cognizing subject: the logic of immobility, under which the author refers to the thinking and the logic of motion, i.e. tacit knowledge, a prerequisite for successful (appropriate) the use of which is to stop thinking. The presented position allows you to take the issues raised in aporia Zeno (the tasks they recognize insoluble) and a new angle of vision to see the dichotomy of analysis and synthesis, rationality and irrationality, similarity and hierarchy, as well as other concepts.

scholarly journals Business Model for Czech Agribusiness

2015 ◽  
Vol 46 (3) ◽  
pp. 128-136 ◽  
Author(s):  
Jana Poláková ◽  
G. Koláčková ◽  
I. Tichá
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Business Models ◽  
Theoretical Background ◽  
Business Modelling ◽  
New Business ◽  
Definition Of

Abstract Business modelling facilitates the understanding of value creation logic in organizations in general. Identifying the components of business models based on different criteria helps understanding the fundamentals of business and the position of entrepreneurs and managers in companies. The present research is focused on the definition of a specific business model for the Czech agribusiness sector. Based on the theoretical background and evaluation of selected business models, the aim is to create a new business model, using components which take into account the specifics of this particular industry.

Supervision in clinical neuropsychology: standards and practices

2016 ◽  
Vol 47 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Aline Ferreira-Correia
Keyword(s):  
Clinical Supervision ◽  
Training And Development ◽  
Theoretical Background ◽  
New Professionals ◽  
Clinical Neuropsychology ◽  
Professional Psychologists ◽  
Definition Of ◽  
Theoretical Developments ◽  
The Ideal

Clinical supervision is fundamental to the training and development of professional psychologists; however, no clear supervision methods have been developed, and the ideal competencies for psychologists and supervisors are yet to be defined. This lack of consensus is aggravated in the field of clinical neuropsychology supervision due to the dearth of literature available, which has an impact not only in the supervisory activities and the training of new professionals, but also ultimately in the quality of service provided to people that in many cases could be considered to be a vulnerable population. The theoretical background provided in this review covers conceptual developments and debates in relation to clinical supervision. Specifically, it reflects on the definition of supervision in the context of neuropsychology, as well as competencies and practices required in order to render supervision. A brief review of supervision in the field of clinical neuropsychology is included. Additionally, some insights are offered into the dearth of research and theoretical developments in this area. Finally, some comments are included in relation to the professional progress of clinical neuropsychology in developing countries, with particular reference to South Africa.

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