Sustainable Development and the Sustainability of Competitive Advantage: A Dynamic and Sustainable View of the Firm

Does the need for sustainable development hinder businesses’ ability to create value? Is a firm’s competitiveness negatively affected by considering that need? After quickly reviewing the main literature contributions on the relationship between business and society, and drawing from resource‐based view of the firm and sustainable development literature, this paper presents a proposal for a dynamic and sustainable view of the firm. It shows how considering the changes introduced into the competitive landscape by sustainable development influences the way in which companies develop their resources, capabilities and activities, fostering the persistence of competitive advantages based on knowledge and innovation.     

Creativity and Innovation in Haute Cuisine: Towards a Systemic Model

The contribution of this study is an increased understanding of personal creativity and the innovation process in haute cuisine, a validation of the socio‐cultural systems view of creativity and a model that accounts for the socio‐cultural dimensions of haute cuisine. In this paper we discuss existing views that conceptualize creativity and innovation in this sector as a sequential developmental process following the principles of operations management. However, based on in‐depth interviews with world‐renowned chefs, we argue for a systemic rather than sequential developmental process view. The reason for this is that the chefs interviewed understand the ‘creativity part’ of the innovation process as an embodied experience often guided by intuition and the ‘innovation part’ as a process of social evaluation greatly dependent on the perception, knowledge and value judgement of the testers from the leading restaurant guides. The main implications of the findings go beyond the haute cuisine sector and open areas for future research on creativity and intuition more generally.     

基于系统观的计算机实践教学思考

系统观是教育技术学研究中的一种基本观念和基本方法。基于系统观培养学生的计算机系统能力是现代计算机专业教学的重要目标。就系统能力培养以及实践教学的重要性、国内外计算机实践教学的现状进行介绍和分析,并在此基础上,提出基于系统观的计算机实践教学改革的一点思路。     

Shrinking‐horizon dynamic programming

We describe a heuristic control policy for a general finite‐horizon stochastic control problem, which can be used when the current process disturbance is not conditionally independent of the previous disturbances, given the current state. At each time step, we approximate the distribution of future disturbances (conditioned on what has been observed) by a product distribution with the same marginals. We then carry out dynamic programming (DP), using this modified future disturbance distribution, to find an optimal policy, and in particular, the optimal current action. We then execute only the optimal current action. At the next step, we update the conditional distribution, and repeat the process, this time with a horizon reduced by one step. (This explains the name ‘shrinking‐horizon dynamic programming’). We explain how the method can be thought of as an extension of model predictive control, and illustrate our method on two variations on a revenue management problem. Copyright © 2010 John Wiley & Sons, Ltd.     

The Antecedents of Exploitation‐Exploration and Their Relationship with Innovation: A Study of Managers' Cognitive Maps

Based on the resource‐based view (RBV) and the dynamic capabilities (DC) approach, in this work we carry out a thorough literature review in order to identify which organizational actions and resources act as the main antecedents of exploration and exploitation. Also, by using the cognitive maps technique, we analyse to what extent these antecedents are present in managers' cognitive maps when they develop exploration or exploitation strategies, as well as when they try to develop radical and incremental innovations. Our results show that, firstly, managers develop cognitive maps that match our theoretical proposals about the organizational resources and capabilities that can lead to exploitation and exploration. Secondly, regarding innovation, although the antecedents of exploitation are used by managers as the way towards incremental innovation, some antecedents of exploration are expected to facilitate not only radical but also incremental innovations. These results provide interesting points for reflection on the topics addressed and lead us to conclude that the antecedents of exploration and exploitation should not be seen as separate ways towards different types of innovation, but as sets of resources on which to build configurations that facilitate radical or incremental innovation.     

Making Imperfect Shadow Maps View‐Adaptive: High‐Quality Global Illumination in Large Dynamic Scenes

We propose an algorithm to compute interactive indirect illumination in dynamic scenes containing millions of triangles. It makes use of virtual point lights (VPL) to compute bounced illumination and a point‐based scene representation to query indirect visibility, similar to Imperfect Shadow Maps (ISM). To ensure a high fidelity of indirect light and shadows, our solution is made view‐adaptive by means of two orthogonal improvements: First, the VPL distribution is chosen to provide more detail, that is, more dense VPL sampling, where these contribute most to the current view. Second, the scene representation for indirect visibility is adapted to ensure geometric detail where it affects indirect shadows in the current view.     

Implementation of a constant‐time dynamic storage allocator

This paper describes the design criteria and implementation details of a dynamic storage allocator for real‐time systems. The main requirements that have to be considered when designing a new allocator are concerned with temporal and spatial constraints. The proposed algorithm, called TLSF (two‐level segregated fit), has an asymptotic constant cost, O(1), maintaining a fast response time (less than 200 processor instructions on a x86 processor) and a low level of memory usage (low fragmentation). TLSF uses two levels of segregated lists to arrange free memory blocks and an incomplete search policy. This policy is implemented with word‐size bitmaps and logical processor instructions. Therefore, TLSF can be categorized as a good‐fit allocator. The incomplete search policy is shown also to be a good policy in terms of fragmentation. The fragmentation caused by TLSF is slightly smaller (better) than that caused by best fit (which is one of the best allocators regarding memory fragmentation). In order to evaluate the proposed allocator, three analyses are presented in this paper. The first one is based on worst‐case scenarios. The second one provides a detailed consideration of the execution cost of the internal operations of the allocator and its fragmentation. The third analysis is a comparison with other well‐known allocators from the temporal (number of cycles and processor instructions) and spatial (fragmentation) points of view. In order to compare them, a task model has been presented. Copyright © 2007 John Wiley & Sons, Ltd.     

Multi‐View Stereo on Consistent Face Topology

We present a multi‐view stereo reconstruction technique that directly produces a complete high‐fidelity head model with consistent facial mesh topology. While existing techniques decouple shape estimation and facial tracking, our framework jointly optimizes for stereo constraints and consistent mesh parameterization. Our method is therefore free from drift and fully parallelizable for dynamic facial performance capture. We produce highly detailed facial geometries with artist‐quality UV parameterization, including secondary elements such as eyeballs, mouth pockets, nostrils, and the back of the head. Our approach consists of deforming a common template model to match multi‐view input images of the subject, while satisfying cross‐view, cross‐subject, and cross‐pose consistencies using a combination of 2D landmark detection, optical flow, and surface and volumetric Laplacian regularization. Since the flow is never computed between frames, our method is trivially parallelized by processing each frame independently. Accurate rigid head pose is extracted using a PCA‐based dimension reduction and denoising scheme. We demonstrate high‐fidelity performance capture results with challenging head motion and complex facial expressions around eye and mouth regions. While the quality of our results is on par with the current state‐of‐the‐art, our approach can be fully parallelized, does not suffer from drift, and produces face models with production‐quality mesh topologies.     

Event‐based allocation of airline check‐in counters: a simple dynamic optimization method supported by empirical data

This paper studies the real‐life problem of dynamically optimizing the number of airport check‐in counters to allocate for a single flight. The main feature of our work is the use of empirical data collected at the Singapore Changi Airport, which drives the dynamic optimization model of a parallel queues system. We propose an event‐based dynamic programming model that simplifies considerably the optimization analysis even for large‐scale problems with 700+ booked passengers. We investigate the following research questions: (a) For a particular flight, what is the optimal number of counters the system should open with and what is the corresponding optimal total cost? (b) Given the state of the system at any event epoch, should we open another counter or not and what is the optimal cost‐to‐go from this state? The empirical data we collected at the airport are used to test the assumptions, estimate the key parameters, and run the computational experiments. We apply our model to 14 flights at the Singapore Changi Airport and identify cases in which, depending on the cost parameters, the model advocates the use of either a dynamic or a static policy. Although the model concerns only an exclusive‐use system, it is flexible enough to apply to other configurations such as a common‐use system or a single‐queue, multicounter system.     

The Potential of Additive Manufacturing for Technology Entrepreneurship: An Integrative Technology Assessment

Additive manufacturing (AM) is likely to contribute considerably to key targets of innovation policy such as employment, R&D and education. The expectations of those engaged in AM, such as providers, users and policy makers, regarding the potential of this technology influence its future development and thus create opportunities for technology entrepreneurship. Therefore, these expectations need to be researched so that opportunities for technology entrepreneurship can be identified. Based on prospect theory, we employ an integrative approach to online‐based technology assessment. Using the outcome of a constructive technology assessment (CTA) as a reference, a comparison with the results of a traditional technology assessments (TTA) derived from the policy makers enables us to identify the need for action regarding the allocation of public resources. Further, the comparison of the outcome of our CTA with the TTA derived from the general public shows the need to establish a public opinion on AM that legitimizes AM‐related innovation policies. The approach of an integrative technology assessment proves useful, as we can deduce concrete recommendations for action on innovation policy based on our empirical findings.     

利用索引的动态分布改善JXTA网络中查询效率

JXTA 2．0参考实现中,索引发布和查询机制是基于索引固定分布的策略。现有索引查询方案中集合点的RPV(flemiezvous Peer View)松散一致性会导致查询请求在集合点之间重复巡查(walker)的问题。提出使用索引的动态分布改善查找目标索引的准确度,并且就索引的冗余及振荡进行了分析改进,避免在RPV中重复巡查和减小每一次巡查的距离,从而提高查询效率。     

Recent Advances in Projection Mapping Algorithms,Hardware and Applications

This State‐of‐the‐Art‐Report covers the recent advances in research fields related to projection mapping applications. We summarize the novel enhancements to simplify the 3D geometric calibration task, which can now be reliably carried out either interactively or automatically using self‐calibration methods. Furthermore, improvements regarding radiometric calibration and compensation as well as the neutralization of global illumination effects are summarized. We then introduce computational display approaches to overcome technical limitations of current projection hardware in terms of dynamic range, refresh rate, spatial resolution, depth‐of‐field, view dependency, and color space. These technologies contribute towards creating new application domains related to projection‐based spatial augmentations. We summarize these emerging applications, and discuss new directions for industries.     

Design Contribution to the Competitive Performance of SMEs: The Role of Design Innovation Capabilities

The strategic role of design‐driven innovation is being increasingly recognized. Many studies show that investments in design positively influence the innovative capacity of firms and consequently their competitive performance. However, few researchers have explored how this relationship comes about. The studies that over the years have contributed to the understanding of design have identified two main barriers: the lack of a common language on design, and poor analysis of the dynamics that characterize the relationship between investment in design and competitive performance. In this paper, we investigate six small and medium‐sized enterprises (SMEs) located in the Lombardy region of Italy that have received funding from a policy aimed to develop design innovation capabilities. We identify and discuss five different design innovation capabilities and we analyse their role in mediating the relationship between investment in design and competitive performance.     

Successful Patterns of Internal SME Characteristics Leading to High Overall Innovation Performance

Small and medium‐sized enterprises (SMEs) struggle with the paradox of developing new products and technologies on the one hand and minimizing costs on the other. These SMEs must be innovative to survive and grow. However, compared to large firms, SMEs have several problems in their innovation process, which negatively influence their overall innovation performance. This research explores successful patterns of internal SME characteristics that lead to high overall innovation performance. Cluster analyses were conducted to find patterns in the internal characteristics of SMEs with high overall innovation performance. We find that companies that focus on incremental innovation and that achieve high overall innovation performance indeed share a pattern in their internal organization, when controlling for innovation type. The paper adds to the current body of knowledge by comparing high‐ and low‐performing companies based on competence differences. Because real‐life organizations consist of multiple organizational characteristics, we also contribute to management practice by simultaneously addressing multiple organizational characteristics for the successful organization of innovation.     

同时基于预知信息和预测机制的SDRAM动态页策略

提出一种同时基于预知信息和预测机制的SDRAM新型动态页策略。该策略可充分利用待处理访存请求的地址信息,能对后续页命中情况进行精确判断;而当没有待处理访存请求可预知时,则利用所记录的历史信息对后续页命中情况进行预测,以最大程度地选择最合适的页策略。分析证明该策略的硬件实现代价很小。实验证实三类主要的基于预知信息的动态页策略之间的性能差异较小,均能获得较理想的访存带宽,最好情况下,实际访存带宽可提升42%。其中,对于绝大多数测试激励,同时基于预知信息和预测机制的新型动态页策略的性能均为最优或接近最优,适应范围最广。     

Visual Analysis of Biomolecular Cavities: State of the Art

In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid‐based, Voronoi‐based, surface‐based, and probe‐based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non‐spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.     

Community‐Based Innovation Contests: Where Competition Meets Cooperation

While the principle of competition has long been found to be conducive to innovation, community‐based innovation contests additionally offer the possibilities of interaction and cooperation among participants. This duality makes innovation contests an interesting field for both academia and practice. However, a surge in practical implementations stands in contrast to a still restricted body of academic knowledge in the field. To close this gap, drawing on a boundary spanning perspective, we examine if and how cooperation in the competitive setting of innovation contests leads to innovativeness. Cooperative orientation of contest participants is explored within a community‐based innovation contest run in 2009 at one of the largest universities in Germany. We analyse a complete set of data collected during the contest, data from a follow‐up survey among individual participants (n = 943), as well as video and audio footage from four focus groups. Findings suggest that a very high as well as a very low degree of cooperative orientation result in a high degree of innovativeness, while a medium degree of cooperative orientation results in a low degree of innovativeness. Additionally, this research extends the concept of boundary spanning by identifying two subtypes: proactive and reactive boundary spanning.     

DeepGarment : 3D Garment Shape Estimation from a Single Image

3D garment capture is an important component for various applications such as free‐view point video, virtual avatars, online shopping, and virtual cloth fitting. Due to the complexity of the deformations, capturing 3D garment shapes requires controlled and specialized setups. A viable alternative is image‐based garment capture. Capturing 3D garment shapes from a single image, however, is a challenging problem and the current solutions come with assumptions on the lighting, camera calibration, complexity of human or mannequin poses considered, and more importantly a stable physical state for the garment and the underlying human body. In addition, most of the works require manual interaction and exhibit high run‐times. We propose a new technique that overcomes these limitations, making garment shape estimation from an image a practical approach for dynamic garment capture. Starting from synthetic garment shape data generated through physically based simulations from various human bodies in complex poses obtained through Mocap sequences, and rendered under varying camera positions and lighting conditions, our novel method learns a mapping from rendered garment images to the underlying 3D garment model. This is achieved by training Convolutional Neural Networks (CNN‐s) to estimate 3D vertex displacements from a template mesh with a specialized loss function. We illustrate that this technique is able to recover the global shape of dynamic 3D garments from a single image under varying factors such as challenging human poses, self occlusions, various camera poses and lighting conditions, at interactive rates. Improvement is shown if more than one view is integrated. Additionally, we show applications of our method to videos.     

Constraints to Drought Contingency Planning in Spain: The Hydraulic Paradigm and the Case of Seville

Spain is equipped with an extensive hydraulic infrastructure, aimed at the correction of temporal and spatial irregularities in the availability of water resources. This structural network, mainly based on surface water, is the manifestation of the traditional hydraulic paradigm, which has technical, economic, socio‐political and cultural ramifications. The traditional water management perspective tends to view drought as the structural deficit between water demand and water regulation capacity. This conceptualisation of drought led primarily to a structural response, while ignoring the need for drought risk assessment and water crisis management rules. The traditional hydraulic paradigm can, paradoxically, be regarded as one of the main constraints to the development of drought contingency planning and drought management. However, a new dynamism has entered the water policy arena, which encompasses elements of both innovation and persistence of the traditional perception. This dynamism is analysed through the Seville water management system, which is often affected by drought and severe water crises.     

The Russian Excellence Initiative for higher education: a nonparametric evaluation of short‐term results

This research studies the short‐term effects of the Russian Excellence Initiative Project 5–100 on participating universities. To trace the effect, we develop a quasi‐experimental methodology. A control group of universities comparable to the Project 5–100 universities at the starting point of the program's implementation was singled out using propensity score matching. Data envelopment analysis was conducted, and the Malmquist productivity index was calculated to trace how and why the efficiency of the “participants” and “nonparticipants” of the Project 5–100 has changed. We find statistically significant positive effects of the policy both on the productivity and on the efficiency of the participating universities.