scholarly journals A Quantitative Model for Decomposing & Assessing the Value for the Customer

2014 ◽  
Vol 2 (1) ◽  
pp. 104-138 ◽  
Author(s):  
Susana Nicola ◽  
Eduarda Pinto Ferreira ◽  
João José Pinto Ferreira

The research presented in this paper proposes a novel quantitative model for decomposing and assessing the Value for the Customer. The proposed approach builds on the different dimensions of the Value Network analysis proposed by Verna Allee having as background the concept of Value for the Customer proposed by Woodall. In this context, the Value for the Customer is modelled as a relationship established between the exchanged deliverables and a combination of tangible and intangible assets projected into their endogenous or exogenous dimensions. The Value Network Analysis of the deliverables exchange enables an in-depth understanding of this frontier and the implicit modelling of co-creation scenarios. The proposed Conceptual Model for Decomposing Value for the Customer combines several concepts: from the marketing area we have the concept of Value for the Customer; from the area of intellectual capital the concept of Value Network Analysis; from the collaborative networks area we have the perspective of the enterprise life cycle and the endogenous and exogenous perspectives; at last, the proposed model is supported by a mathematical formal description that stems from the area of Multi-Criteria Decision Making. The whole concept is illustrated in the context of a case study of an enterprise in the footwear industry (Pontechem). The merits of this approach seem evident from the contact with Pontechem as it provides a structured approach for the enterprises to assess the adequacy of their value proposition to the client/customer needs and how these relate to their endogenous and/or exogenous tangible or intangible assets. The proposed model, as a tool, may therefore be a useful instrument in supporting the commercialisation of new products and/or services.

Author(s):  
Naomi HERTZ

Intensive manual labor enterprises in the developed world face challenges competing with products imported from countries where manufacturing costs are low. This reduces the volume of domestic production and leads to rapid loss of knowledge and experience in production processes. This study focuses on the Israeli footwear industry as a case study. Qualitative methodologies were applied, including in-depth interviews and field observations. A literature review on previous research, and contemporary trends was conducted. The field research examines challenges along the value chain in small factories. It finds that mass production paradigms impose a decentralized process between designers and manufacturers and therefore do not leverage local potential into a sustainable competitive advantage for small factories. The proposed solution is a digital and technological platform for small manufacturing plants. The platform mediates and designs the connections between production, technology, and design and enables the creation of a joint R&D system.


Revista Foco ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 110
Author(s):  
Rafaella Cristina Campos ◽  
Natália Fernandes Fonseca ◽  
Odemir Vieira Baeta

O objetivo é averiguar a correlação dos fatores motivacionais e produtivos no contexto institucional da Polícia Civil. O estudo de caso foi conduzido por entrevistas em profundidade com um Delegado de Polícia, um Investigador de Polícia, e um Escrivão de Polícia. A análise de conteúdo foi utilizada. Conclui-se que há evidente correlação entre o desenvolvimento de artefatos motivacionais, sejam eles de ordem ambiental ou individual, com a produtividade na instituição da Polícia Civil. Destaca-se também, que apesar do controle e avaliação dos índices de produtividade serem predominantemente burocráticos, institucionalizados e legitimados, a ligação que se estabelece com a manifestação dos artefatos motivacionais é subjetiva, relacional e intangível nas normas institucionais. Destaca-se este evento neste artigo, porque como foi visto anteriormente, tanto a natureza do trabalho, quanto o ambiente da Polícia Civil, estão em total desencontro ao desenvolvimento de produtividade e motivação no sentido clássico destas vertentes. The aims is to determine the correlation of the motivational and productive factors in the institutional context of the Civil Police. The case study was conducted by in-depth interviews with a Chief of Police, Police Investigator, and Actuary Police. The content analysis was used for fixed grid. It is concluded that there is clear correlation between the development of motivational artifacts, whether environmental or individual order, with productivity in the civil police institution. Also noteworthy is that despite the control and evaluation of productivity indexes were predominantly bureaucratic, institutionalized and legitimized, the connection that is established with the manifestation of motivational artifacts is subjective, relational and intangible assets in the institutional rules. It highlights this event in this article, because as discussed above, both the nature of the work, as the environment of the Civil Police, are in complete disagreement with the development of productivity and motivation in the classical sense of the aforementioned areas.


Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Tinggui Chen ◽  
Shiwen Wu ◽  
Jianjun Yang ◽  
Guodong Cong ◽  
Gongfa Li

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.


2021 ◽  
pp. 146144482110221
Author(s):  
Tamas Tofalvy ◽  
Júlia Koltai

In this article, we argue that offline inequalities, such as core–periphery relations of the music industry, are reproduced by streaming platforms. First, we offer an overview of the reproduction of inequalities and core–periphery dynamics in the music industry. Then we illustrate this through a small-scale network analysis case study of Hungarian metal bands’ connections on Spotify. We show that the primary determinant of a given band’s international connectedness in Spotify’s algorithmic ecosystem is their international label connections. Bands on international labels have more reciprocal international connections and are more likely to be recommended based on actual genre similarity. However, bands signed with local labels or self-published tend to have domestic connections and to be paired with other artists by Spotify’s recommendation system according to their country of origin.


Sign in / Sign up

Export Citation Format

Share Document