Crowdsourcing New Product Design on the Web: An Analysis of Online Designer Platform Service

Dai, Xianjun; Chow, Pui-Sze; Zheng, Jun; Chiu, Chun-Hung

doi:10.1155/2013/248170

Cited by 8 publications

(10 citation statements)

References 19 publications

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“…polytechnic and university design courses, economic development corporations and business incubators) in the four main fashion centres; Dunedin, Christchurch, Wellington and Auckland [1]. This strategy had the advantage of allowing the contribution of the main education providers and business development agencies to be examined.…”

Section: Enterprise Orientationsmentioning

confidence: 99%

Enterprise orientations: a framework for making sense of fashion sector start‐up

Mills

2011

International Journal of Entrepreneurial Behavior &Amp; Research

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Enterprise orientations: a framework for making sense of fashion sector start-up Colleen Mills Article information:To cite this document: Colleen Mills, (2011),"Enterprise orientations: a framework for making sense of fashion sector start-up", Abstract Purpose -This paper aims to present an original conceptual model that captures the orientations of new business founders in the fashion design sector as they navigate the tension between creative endeavour and business practice. Design/methodology/approach -The start-up experiences of 38 fashion designers from the four main fashion centres in New Zealand were examined using an interpretive narrative approach. The designers' enterprise development narratives were analysed using in-depth literary and conceptual analyses to reveal the nature and context of their start-up behaviour and the conceptual frameworks they employed to make sense of their start-up behaviour. Findings -The designers were, to varying degrees, preoccupied with a perceived tension between creative processes and business practices. This tension was typically experienced as a disjunction between self-identity and the identities supported by the business models designers worked within. Successfully navigating this tension could require significant conceptual shifts or fundamental adjustments in business approaches which challenged designers' original rationales for start-up. The analysis of designers' responses to the creativity-business tension and how they made sense of this produced a conceptual framework, a space delineated by three basic enterprise orientations: creative enterprise orientation (CEO), creative business orientation (CBO), and fashion industry orientation (FIO). Research limitations/implications -This conceptual framework has major implications for policy makers and providers of design education and business support as it offers a means of differentiating between the lived-in experiences of designers. In so doing it could be used as a tool for tailoring support more appropriately to designers' needs. The narrative approach produced rich, contextualised insights and a template for the further studies that will be required to establish the wider applicability of the framework. Originality/value -The original conceptual framework presented here provides much needed insight into creative business start-ups that will allow better targeting of education, support and policy development. The approach used to create this framework is an innovative example of how narrative and sensemaking approaches can be combined to provide rich insights into enterprise creation from the entrepreneur's perspective.

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Section: Enterprise Orientationsmentioning

confidence: 99%

Enterprise orientations: a framework for making sense of fashion sector start‐up

Mills

2011

International Journal of Entrepreneurial Behavior &Amp; Research

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“…Nonetheless, it is noteworthy that prior literature on this topic mainly underlines fast fashion supply chain coordination [1,11] and pricing decision [12,13], as well as quick response issue [14,15]. Although how to design and evaluate new products is crucial to garment makers, there is less research related to this issue except the literature [3,4,16,17].…”

Section: Research On Fast Fashion Industry Fast Fashion Industrymentioning

confidence: 99%

“…In addition, Dai et al [3] considered a designer platform service, offering the crowdsourcing mechanism in the fashion market; the price and minimum production quantity decisions are made with consideration of the entrant designer's objective and customer demand structures. Li et al [4] proposed multiperiod order models of crowdsourcing supply chain system, where a garment maker chooses the best one from solutions submitted by online crowdsources and utilizes wholesale price, buyback, and profit-sharing scheme to design a mixed contract with an aim to coordinate the whole supply chain.…”

Section: Research On Fast Fashion Industry Fast Fashion Industrymentioning

confidence: 99%

“…Conversely, the fashion firms facing woes primarily resulted from neglecting the importance of designers' roles. As a result, competitive garment makers invariably keep or recruit more apparel designers for sharpening their edges [3]. More importantly, a majority of fast fashion makers belong to small-and medium-sized enterprises (SMEs) and usually lack sufficient resources to meet customers' tailored needs, and only leveraging interfirm's professional designers may lead to the decrease in customer satisfaction.…”

Section: Introductionmentioning

confidence: 99%

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A Hierarchical Innovation-Related Crowdsourcing Decision in Fast Fashion Industry

Bian

Liu

et al. 2020

Mathematical Problems in Engineering

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Due to scarcity of designers in fast fashion industry and proliferation of the Internet, small- and medium-sized garment makers have gradually turned to external designers to enhance their innovation efficiency via crowdsourcing initiative. However, few have investigated the issue of fast fashion customized-design matching decision in the crowdsourcing context. Different from previous works, we split crowdsourcing matching decision process into three hierarchical submodels in terms of three key factors, namely, surplus, due date, and goodwill. From a dynamic perspective, we first develop a two-sided matching model where garment makers and online designers select one another by maximizing their total surpluses with an aim to reach robust final pairs and derive the corresponding conditions under which the optimal pairs can be obtained. Then, the extensions of the matching model are conducted by incorporating the critical factors of due date and garment makers’ goodwill, respectively. Followed by that, an improved Gale–Shapley algorithm is devised to solve the crowdsourcing matching problems. The results illustrate when garment makers exceed online designers in number, crowdsourcing design tasks without due-date constraint are more attractive for designers’ participation than those with due-date constraint, and garment makers intend to share the incremental surpluses with designers to maximize the total surpluses. By contrast, when online designers surpass garment makers in number, designers prefer due-date design tasks to those without it. In addition, regardless of whether under the irregular or regular case, the model with goodwill concern always outperforms the two others. Moreover, celebrated garment makers are invited to post design tasks, thus enabling to entice more designers’ engagement in crowdsourcing activities, which in turn facilitating to transfer myopic designers to strategic ones. Finally, sensitivity analysis further verifies the models are stable and robust.

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“…Examples of crowdsourcing platforms include Teespring.com, Threadless.com, and Dell IdeaStorm Community. Based on the feature of fashion business in the crowdsourcing platform, Dai et al [11] examine the online designer trading platform, in which designers can post their design samples or sketches of products and consumers can preorder the products. They find that (1) the minimum production quantity should be determined by the platform and (2) the retail business is still profitable if the retail price is determined as low as possible to enlarge the market demand.…”

Section: E-commerce Industrymentioning

confidence: 99%

Service Operations Optimization: Recent Development in Supply Chain Management

Shen¹

2015

Mathematical Problems in Engineering

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Services are the key of success in operation management. Designing the effective strategies by optimization techniques is the fundamental and important condition for performance increase in service operations (SOs) management. In this paper, we mainly focus on investigating SOs optimization in the areas of supply chain management, which create the greatest business values. Specifically, we study the recent development of SOs optimization associated with supply chain by categorizing them into four different industries (i.e., e-commerce industry, consumer service industry, public sector, and fashion industry) and four various SOs features (i.e., advertising, channel coordination, pricing, and inventory). Moreover, we conduct the technical review on the stylish industries/topics and typical optimization models. The classical optimization approaches for SOs management in supply chain are presented. The managerial implications of SOs in supply chain are discussed.

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Crowdsourcing New Product Design on the Web: An Analysis of Online Designer Platform Service

Cited by 8 publications

References 19 publications

Enterprise orientations: a framework for making sense of fashion sector start‐up

Enterprise orientations: a framework for making sense of fashion sector start‐up

A Hierarchical Innovation-Related Crowdsourcing Decision in Fast Fashion Industry

Service Operations Optimization: Recent Development in Supply Chain Management

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