Search results

The purpose of this paper is to explore the value of the artist's authentic identity in fashion design and art collaborations and evaluate the efficiency of collaborative brand projects.

Through the case study approach, this paper explores the attempts of Adidas to create authenticity by teaming up with artists. It also investigates consumer attitudes toward the brand's collaborative projects via a questionnaire survey.

Authenticity can be understood in two general aspects: conceptual forms and incarnate forms. Within the value system of authenticity, Adidas' collaborative projects and diverse promotional strategies are to a large degree consistent with consumer aspirations. Nonetheless, the factors that contribute to authenticity via conceptual (e.g. originality, exclusivity) and incarnate forms (e.g. creative process, final designs) occupy different positions in the consumer's mind. This study also reveals that when a brand intends to launch such artistic collaborations, the selection of art style should be treated as an important issue, because specific consumer groups tend to have inclinations toward specific art forms.

More cases should be examined to enable the theory to be generalized to other artistic collaboration practices.

As a pioneering effort in this field, this paper explores the application of artistic authenticity to the fashion world via a collaboration with fashion brands. More importantly, it examines the efficiency of such collaborations and the roles that diverse forms of authenticity play in consumers' minds.

The purpose of this study was to develop a new folding method for modeling complicated folded fabric with surfaces of revolution.

Irregular wrinkles and mesh distortions easily appear in the fold modeling of a complex curved surface. Aimed at this key technical problem, the segmentation mapping folding method (SMFM) is proposed in this paper. First, high-precision flattened planes were obtained by using segmentation mapping techniques. Second, the segmented planes were transformed into a folded and continuous geometric model by using matrix transformations. Finally, initial stress was used to modify the geometric folding errors, which ensured agreement with the inflated flexible fabric’s geometry and the original design.

Compared with the traditional folding method, SMFM has the advantages of good finite-element mesh quality, large radial compression rate, regular folds, etc. The surface area error and the volume error of the inflated single torus established by SMFM were only 1.2 per cent, showing that SMFM has high modeling accuracy. The numerical results of an inflatable re-entry vehicle are presented to demonstrate the reliability, feasibility and applicability of SMFM. Moreover, the stress modification reduced the problems of stress concentration and mesh distortions, improving the accuracy and stability of the numerical calculations.

In this paper, for the first time, a folding method for modeling complicated folded fabric is proposed. This methodology can be used to model the multidimensional compression and regular folds of complex surfaces of revolution that cannot be flattened and to improve the accuracy and stability of the numerical calculations.

The purpose of this study is to develop an in-depth understanding of the overall process of facilitating co-creation of e-government services, focusing on the government's role in fostering citizen engagement.

This study conducted a meta-synthesis of qualitative case studies encompassing analyses on a case-specific level followed by syntheses on a cross-study level.

Through meta-synthesis, the study developed an integrated framework, the process theory view of enabling co-creation of e-government services, illustrating how co-creation could be initiated and facilitated by the government.

By providing critical insights into co-creation steps, the process theory view offers a holistic theoretical understanding of enabling co-creation by identifying factors driving and motivating governments to initiate co-creation activities, interpreting the prerequisites for co-creation and the importance of impact assessment.

This study offers important implications for public authorities, administrators and policymakers by helping them enhance their knowledge base on the co-creation process to facilitate a higher level of collaboration between citizens and government for effective and efficient public service delivery through e-government.

While it is widely acknowledged that citizen engagement is crucial for improving and transforming the development and delivery of e-government services, it is equally recognized as a challenging and complex task. Through a meta-synthesis of qualitative case studies, this study is one of the first to develop a process theory view for offering a holistic understanding and crucial insights for addressing the concerns over the co-creation of e-government services.

The purpose of this paper is to overcome the application limitations of other multi-variable regression based on polynomials due to the huge computation room and time cost.

In this paper, based on the idea of feature selection and cascaded regression, two strategies including Laguerre polynomials and manifolds optimization are proposed to enhance the accuracy of multi-variable regression. Laguerre polynomials were combined with the genetic algorithm to enhance the capacity of polynomials approximation and the manifolds optimization method was introduced to solve the co-related optimization problem.

Two multi-variable Laguerre polynomials regression methods are designed. Firstly, Laguerre polynomials are combined with feature selection method. Secondly, manifolds component analysis is adopted in cascaded Laguerre polynomials regression method. Two methods are brought to enhance the accuracy of multi-variable regression method.

With the increasing number of variables in regression problem, the stable accuracy performance might not be kept by using manifold-based optimization method. Moreover, the methods mentioned in this paper are not suitable for the classification problem.

Experiments are conducted on three types of datasets to evaluate the performance of the proposed regression methods. The best accuracy was achieved by the combination of cascade, manifold optimization and Chebyshev polynomials, which implies that the manifolds optimization has stronger contribution than the genetic algorithm and Laguerre polynomials.

The study aims to draw lessons from other countries and propose a framework for developing smart libraries in transformation in South Africa. The framework will be useful to policymakers and scholars in library and information science.

This study used a qualitative approach based on a systematic literature review and the researchers’ experience concerning the transformation of smart libraries in South Africa. The researchers selected databases to access full-text, abstract or full-text linking facilities. The researchers generated the study’s literature review using keywords derived from themes. The keywords used include “smart libraries,” “functions of smart libraries” and “smart library infrastructure,” based on the objectives of the study.

The findings reveal that developing smart libraries in South Africa is feasible, but all stakeholders must cooperate and collaborate to create smart libraries. The findings of this study show that South Africa can draw lessons from other countries on the way forward in developing smart libraries. The results indicate that lack of funding, digital infrastructure and technical skills are among the factors inhibiting the development of smart libraries.

The issue of smart libraries has become a key on the agenda on a global scale, and South Africa is no exception to such developments. This study proposes a framework for developing smart libraries based on lessons learned within and outside South Africa.