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The purpose of this study is to make a prediction of China's energy consumption structure from the perspective of compositional data and construct a novel grey model for forecasting compositional data.

Due to the existing grey prediction model based on compositional data cannot effectively excavate the evolution law of correlation dimension sequence of compositional data. Thus, the adaptive discrete grey prediction model with innovation term based on compositional data is proposed to forecast the integral structure of China's energy consumption. The prediction results from the new model are then compared with three existing approaches and the comparison results indicate that the proposed model generally outperforms existing methods. A further prediction of China's energy consumption structure is conducted into a future horizon from 2021 to 2035 by using the model.

China's energy structure will change significantly in the medium and long term and China's energy consumption structure can reach the long-term goal. Besides, the proposed model can better mine and predict the development trend of single time series after the transformation of compositional data.

The paper considers the dynamic change of grey action quantity, the characteristics of compositional data and the impact of new information about the system itself on the current system development trend and proposes a novel adaptive discrete grey prediction model with innovation term based on compositional data, which fills the gap in previous studies.

The purpose of this paper is to demonstrate an actual compositional process that entails a diversity of music information modes and describe the way these modes contribute to the creative aspirations of a composer.

The music information typology proposed by Rousi, Savolainen and Vakkari is used as a point of departure for defining the different modes of music-related information. First, relevant music information modes are identified from the composer-informant’s verbal description of a compositional process. Then, their proportions and dynamics are examined.

The findings suggest that the music information typology may be applied within the context of musical composition, that is, all of its five modes of music information could be identified from the composer’s verbal description of the compositional process. However, two additional significant information modes were identified: shaping music as the third mode of enactive representations and genuine iconic representations.

The purpose of this case study is not to claim that the results regarding the significance of individual music information modes apply to all compositional processes within diverse genres of music.

This study introduces a new mode of music information indicative of the artistic capacity of expressiveness: shaping musical structures as the third mode of enactive representations was the means whereby the composer made musical structures work for himself and hence created performative power in his music.

This chapter outlines a dynamic model of compositional strategic advantage for resource-poor firms where the attractiveness of the product offering in terms of scope and perceived value-to-price ratio identifies a number of elementary compositional strategies. A resource-poor firm can establish a compositional strategy composed of one or more of these elementary compositional strategies. It is argued that how the compositional strategic advantage is formed by three indispensable factors of aspiration (asymmetry between ambition and position), attitude (be “ALERT” to change), and action (use the asymmetry to create advantage). It is explained how the underlying theoretical rationales are particularly useful to understand the successful expansion of multinational Chinese firms and coinciding with basic cultural values.

This study aims to investigate the effects of two visual design principles, repetition and compositional lines, in a food image on purchase intention in the context of a mobile food delivery app and test the effect of crossmodal correspondences between vision and taste as a processing mechanism.

In this study, two experiments were conducted using burgers and iced tea as stimuli.

The results demonstrate that repetition of an identical food product increases visual appeal for both burgers and iced tea. However, the optimal level of repetition was different between the two products. The findings show that different compositional lines generate different levels of visual appeal and the effects of compositional lines vary between burgers and iced tea. The results also validate the serial mediation effects of vision and taste between design principles and purchase intention.

The findings of this study add substantially to the understanding of visual information processing in food retailing by demonstrating how design principles such as repetition and compositional lines facilitate crossmodal responses between vision and taste and influence purchase decisions in a mobile platform. Also this study provides guidance as to how food retailers use design principles (e.g. repetition and compositional lines) for different products effectively when the food retailers develop visual digital content for a mobile app.

The purpose of this paper is to examine the structural relationships among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in information and communication technology small- and medium-sized enterprises (ICT-SMEs).

In total, 213 valid questionnaires from SMEs’ top management positions were evaluated to investigate the proposed model of the research empirically. As a methodological approach, partial least square (PLS) path modeling approach, a variance-based structural equation modeling was employed.

The statistical results imply that explorative learning has a positive impact on improvisational creativity and innovation while improvisational creativity has a positive influence on compositional creativity and innovation as well. Compositional creativity and innovation are also positively associated. Surprisingly, improvisational creativity mediates the relationship between explorative learning and innovation. Furthermore, PLS-multi group analysis reveals that heterogeneity exists in the collected data and number of employees is a moderating variable. The results of the research indicate that companies with number of employees between 51 and 100 are more creative and innovative in comparison with other groups. On the other hand, the positive relationship between explorative learning and compositional creativity was not supported in this research.

This study is one of the few research works in the realm of examining the structural relationship among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in ICT-SMEs, regarding the number of employees as a moderating variable.

This paper aims to numerically study the compositional flow of two- and three-phase fluids in one-dimensional porous media and to make a comparison between several upwind and central numerical schemes.

Implicit pressure explicit composition (IMPEC) procedure is used for discretization of governing equations. The pressure equation is solved implicitly, whereas the mass conservation equations are solved explicitly using different upwind (UPW) and central (CEN) numerical schemes. These include classical upwind (UPW-CLS), flux-based decomposition upwind (UPW-FLX), variable-based decomposition upwind (UPW-VAR), Roe’s upwind (UPW-ROE), local Lax–Friedrichs (CEN-LLF), dominant wave (CEN-DW), Harten–Lax–van Leer (HLL) and newly proposed modified dominant wave (CEN-MDW) schemes. To achieve higher resolution, high-order data generated by either monotone upstream-centered schemes for conservation laws (MUSCL) or weighted essentially non-oscillatory (WENO) reconstructions are used.

It was found that the new CEN-MDW scheme can accurately solve multiphase compositional flow equations. This scheme uses most of the information in flux function while it has a moderate computational cost as a consequence of using simple algebraic formula for the wave speed approximation. Moreover, numerically calculated wave structure is shown to be used as a tool for a priori estimation of problematic regions, i.e. degenerate, umbilic and elliptic points, which require applying correction procedures to produce physically acceptable (entropy) solutions.

This paper is concerned with one-dimensional study of compositional two- and three-phase flows in porous media. Temperature is assumed constant and the physical model accounts for miscibility and compressibility of fluids, whereas gravity and capillary effects are neglected.

The proposed numerical scheme can be efficiently used for solving two- and three-phase compositional flows in porous media with a low computational cost which is especially useful when the number of chemical species increases.

A new central scheme is proposed that leads to improved accuracy and computational efficiency. Moreover, to the best of authors knowledge, this is the first time that the wave structure of compositional model is investigated numerically to determine the problematic situations during numerical solution and adopt appropriate correction techniques.

A total of 210 valid paper-and-pencil questionnaires were received from fast-moving consumer goods/small and medium-sized enterprises (FMCG-SMEs) to empirically test the proposed model. Structural equation modelling approach was performed to assess the model fit, measurement and structural models for exogenous and endogenous constructs, and test of nonlinearity.

In the hyper-competitive world, while the essence of strategy making is often focussed on environmental and market-based analysis or the structure of the market, the important role of resources and capabilities in determining firm performance and overall strategy formulation within SMEs begs attention. Grounded in the resource-based view (RBV) of the firm, organisational improvisation theory and componential theory of creativity, the purpose of this research is to look beyond the determinants of creativity, innovation and proposes a theoretical model investigating organisations formative performance in strategy formulation.

The results imply that intrinsic motivation, extrinsic motivation, creativity-related processes and expertise as the firm's capabilities positively influence improvisational creativity, and creativity-related processes and expertise also positively impact on compositional creativity. Surprisingly, intrinsic and extrinsic motivations are not conducive to compositional creativity, and the relationships between extrinsic motivation and improvisational creativity as well as improvisational creativity and performance are nonlinear. Furthermore, both improvisational creativity and compositional creativity are found to be predictors of innovation in FMCG-SMEs.

Thus, organisations and specifically FMCG-SMEs can increase the level of improvisational creativity if they formulate strategies to motivate employees both intrinsically and extrinsically, and further, they can boost the level of compositional creativity in their companies through hiring and nurturing experts.

Less attention has been paid to motivation, creativity, innovation, performance and strategy linkages as the prominent source of competitive advantages among FMCG-SMEs, especially in developing countries. Theoretically, through introducing extrinsic motivation as the predictors of improvisational creativity and innovation, from strategic management perspectives, the empirical findings of this research illustrate that resources and capabilities (RBV) lead to improved competitive performance within the FMCG-SMEs. This study also provides empirical evidence for the nonlinear nature of the relationship between motivation and creativity.

The purpose of this paper is to propose a model of competitiveness for small and medium-sized enterprises (SMEs) by investigating the structural relationship between organizational structure, knowledge quality (KQ) dimensions, improvisational creativity, compositional creativity and innovation in an emerging market – Malaysia – grounding in sense-making and organizational improvisational theories.

A total of 358 valid questionnaires administered among SMEs’ top management were used in examining the measurement model and structural relationship between latent constructs using partial least squares (PLS) path-modelling approach.

The findings indicate that a flat organizational structure influences business entities’ sense-making activities in the way they realize the intrinsic value of knowledge (intrinsic KQ) and take action to apply the organizational knowledge (actionable KQ). These sense-making activities are also conducive to SMEs’ improvisational creativity, compositional creativity and innovative capabilities. All KQ dimensions are positively interrelated, thus supporting sense-making theory.

A sustainable competitive advantage for SMEs requires a setting that is based on a lean, decentralized and cooperative organizational structure that shapes organizational KQ. As a contribution to the literature, accessibility KQ is introduced as a KQ dimension. Even though previous research was unclear on the reflectiveness/formativeness of KQ, by applying confirmatory tetrad analysis-PLS, this study empirically supports that KQ is a formative construct.

We review and extend the arguments of Chen, Mathieu and Bliese by providing some foundational and guiding questions to assist researchers in multi-level construct validation. First, we suggest that all multi-level researchers need to gain a firm understanding of the difference between individual and collective constructs. Second, we make a distinction between collective constructs that describe the collection of individuals within the group vs. those that describe the collective as a whole. This distinction provides a framework to sort the various compositional models discussed by Chen et al. into two broad categories. After discussing these two questions, we then develop a decision tree that guides researchers through a series of questions and ultimately helps researchers to identify the appropriate compositional model.

Team cognition is known to be an important predictor of team process and performance. DeChurch and Mesmer-Magnus (2010) reported the results of an extensive meta-analytic examination into the role of team cognition in team process and performance, and documented the unique contribution of team cognition to these outcomes while controlling for the motivational dynamics of the team. Research on team cognition has exploded since the publication of DeChurch and Mesmer-Magnus’ meta-analysis, which raises the question: to what extent do the effect sizes reported in their 2010 meta-analysis still hold with the inclusion of newly published research? The paper aims to discuss this issue.

The authors updated DeChurch and Mesmer-Magnus’ meta-analytic database with newly published studies, nearly doubling its size, and reran their original analyses examining the role of team cognition in team process and performance.

Overall, results show consistent effects for team cognition in team process and performance. However, whereas originally compilational cognition was more strongly related to both team process and team performance than was compositional cognition, in the updated database, compilational cognition is more strongly related to team process and compositional cognition is more strongly related to team performance.

Meta-analyses are only as generalizable as the databases they are comprised of. Periodic updates are necessary to incorporate newly published studies and confirm that prior findings still hold. This study confirms that the findings of DeChurch and Mesmer-Magnus’ (2010) team cognition meta-analysis continue to generalize to today’s teams.