scholarly journals A dyadic segmentation approach to business partnerships

2001 ◽  
Vol 15 (2) ◽  
pp. 3-16 ◽  
Author(s):  
Jacques-Marie Aurifeille ◽  
Christopher John Medlin
Keyword(s):  
Business Partnerships ◽  
Segmentation Approach

University-Government-Business Partnerships for Social Change

2007 ◽  
Author(s):  
Katherine McDonald ◽  
Alan Tomkins ◽  
Brigida Hernandez ◽  
Scott Wituk ◽  
Christy Calvert ◽  
...  
Keyword(s):  
Social Change ◽  
Business Partnerships

Pengembangan Kemitraan Koperasi, Usaha Mikro Dan Kecil (KUMK) Dengan Usaha Menengah/Besar Untuk Komoditi Unggulan Lokal

2019 ◽  
Vol 9 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Dandan Irawan
Keyword(s):  
Business Performance ◽  
The Other ◽  
Economic Conditions ◽  
Small Enterprises ◽  
Business Partnerships ◽  
Short Term ◽  
Business Partnership ◽  
Structure Factors ◽  
Micro And Small Enterprises ◽  
Business Entities

Basically a natural partnership will achieve its goal if mutual requirements, mutual reinforcement, and mutual benefit can be maintained and made a strong fundamental commitment among partners. Nevertheless the development seems very slow. The cause is the presence of specific and different conditions and structure factors compared to other countries. Along with that, we still encounter various forms of gaps, such as inequality among regions, among income groups, between sectors, among economic actors, and so forth. The next problem is that in business entities including cooperatives and micro and small enterprises in running their business activities requires business partnerships with medium and large enterprises in order to improve business performance and business scale. While on the other hand our economic conditions and structures are not yet fully conducive to fostering partnerships based on purely business considerations or competitive market motivations but the business partnership of the foundation is strong enough in our country's constitution. Partnerships will work if partners are equally benefiting. Our concept of partnership is like that, although in the short term, there is a party or a party benefiting more from the other side.

Analysis of the Nascar Hall of Fame Exhibition Event: A Generation-Based Market Segmentation Approach

2019 ◽  
Vol 23 (6) ◽  
pp. 913-926
Author(s):  
Kakyom Kim ◽  
Giri Jogaratnam
Keyword(s):  
Generation X ◽  
Market Segmentation ◽  
Generation Y ◽  
Generational Differences ◽  
The Past ◽  
The Us ◽  
Segmentation Approach ◽  
Research Findings ◽  
Hall Of Fame ◽  
Southeastern Region

Research findings on generations have been becoming useful for event organizers and destination developers over the past decades. The current study investigated generational differences in exhibition dimensions, satisfaction, and future intentions along with trip characteristics of visitors to the NASCAR Hall of Fame Exhibition event held in a medium-sized city in the southeastern region of the US. Analysis confirmed the existence of six exhibition dimensions labeled as "exhibits," "staff," "facility," "concessions," "audio tours," and "hard cards" on the event. As part of the most substantial results, there were both dissimilarities and similarities in the exhibition dimensions across four generations including "Matures," "Baby Boomers," "Generation X," and "Generation Y." Analysis also suggested significant differences in exhibition visitors' overall satisfaction, future intentions, and trip characteristics across the generations. Some useful implications are discussed for exhibition event managers and organizers.

Motives underlying water sport tourist behaviour: a segmentation approach

2021 ◽  
Vol 63 (1) ◽  
pp. 109-127
Author(s):  
Kinga Zsuzsanna Nagy ◽  
Kata Tóth ◽  
Noémi Gyömbér ◽  
László Tóth ◽  
Miklós Bánhidi
Keyword(s):  
Segmentation Approach ◽  
Water Sport ◽  
Tourist Behaviour

A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images

2021 ◽  
Author(s):  
Ahmed A. Sleman ◽  
Ahmed Soliman ◽  
Mohamed Elsharkawy ◽  
Guruprasad Giridharan ◽  
Mohammed Ghazal ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
3D Segmentation ◽  
Retinal Layers ◽  
Segmentation Approach

Re-envisioning organizational complexity using a multiple perspectives model

2020 ◽  
pp. 1-17
Author(s):  
Choon Bae (Paul) Yoo
Keyword(s):  
Strategic Alliances ◽  
Business Partnerships ◽  
Multiple Perspectives ◽  
Multiple Stakeholders ◽  
Organizational Complexity ◽  
Government Organizations ◽  
Stakeholder Perspectives ◽  
Decision Making Processes ◽  
Effective Decision Making ◽  
Perspective Model

Abstract Organizations are now more complex and require collaboration to function effectively across multiple stakeholders. Consequently, they need to be familiar with collaborative projects and participate consciously in shared processes for the accomplishment of particular goals. In order to support and strengthen business partnerships, organizations could use a model based on a multi-perspective approach, as a way of visualizing effective decision-making processes and gaining an understanding regarding how they can establish and maintain stable relationships with other organizations and strategic alliances. The benefits of the new multi-perspective model could be utilized for the collaboration of multiple stakeholders and to drive future organizational change. This study presents a case study which explores the use of a multiple perspective framework in Australian Government Organizations. The results from this study suggest that a multi-perspective model may be used to address organizational complexity through the holistic integration of stakeholder perspectives and sustained knowledge flow.

scholarly journals A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM

2011 ◽  
Vol 07 (01) ◽  
pp. 155-171 ◽  
Author(s):  
H. D. CHENG ◽  
YANHUI GUO ◽  
YINGTAO ZHANG
Keyword(s):  
Image Segmentation ◽  
Point Of View ◽  
Neutrosophic Set ◽  
Convergence Criterion ◽  
Complex Objects ◽  
Fuzzy C Means ◽  
Segmentation Methods ◽  
Segmentation Algorithms ◽  
Segmentation Approach ◽  
Fuzzy C Means Algorithm

Image segmentation is an important component in image processing, pattern recognition and computer vision. Many segmentation algorithms have been proposed. However, segmentation methods for both noisy and noise-free images have not been studied in much detail. Neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interaction with different ideational spectra. However, neutrosophic set needs to be specified and clarified from a technical point of view for a given application or field to demonstrate its usefulness. In this paper, we apply neutrosophic set and define some operations. Neutrosphic set is integrated with an improved fuzzy c-means method and employed for image segmentation. A new operation, α-mean operation, is proposed to reduce the set indeterminacy. An improved fuzzy c-means (IFCM) is proposed based on neutrosophic set. The computation of membership and the convergence criterion of clustering are redefined accordingly. We have conducted experiments on a variety of images. The experimental results demonstrate that the proposed approach can segment images accurately and effectively. Especially, it can segment the clean images and the images having different gray levels and complex objects, which is the most difficult task for image segmentation.

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