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This paper aims to develop an integrative framework based on a convergence of embodiment, ecological and phenomenological theoretical perspectives to explain the multiple processes involved in the consumers’ mining, processing and application of brand-related sensory data through a sensory brand experience (SBE).

This research adopts a qualitative method by using face-to-face in-depth interviews (retail managers and customers) and focus group interviews (actual customers) with 34 respondents to investigate SBEs in the context of Chinese shopping malls.

Results show that the brand data mined through multisensory cues (visual, auditory, olfactory, tactile and taste) in a brand setting are processed internally as SBEs (involving sensory impressions, fun, interesting, extraordinary, comforting, caring, innovative, pleasant, appealing and convenient), which influence key variables in customer–brand relationships including customer satisfaction, brand attachment and customer lovemarks.

This study has implications for current theory on experiential marketing, branding, consumer–brand relationships, consumer psychology and customer experience management.

Adoptive innovation becomes increasingly important in today’s competitive world. However, in the presence of current economic downturn, cautions are voiced against potential risks; these innovative activities can bring to from firm to country level. Our research addresses such concerns. The research is drawn from two key streams of literature: risk management and innovation management. We developed a conceptual framework that consists of three components: risk behaviour, environmental conditions and adoptive innovative (REAI). Applying the REAI framework, we examined the risk management efficacy of adoptive innovation activities of one organisation under a historical perspective. We conclude that although adopters have a high tolerance for managing uncertainty and appetite for risk taking in line with competitors, there are two key elements that deter mine the performance of such behaviour: level of environmental turbulence and the role of senior management. It is the first time research determining the relationship between risk and adoptive innovative behaviour is being undertaken and will also provide direct guidance for managers regarding how to manage risk and uncertainty under different circumstances of their innovative practices.

The study aims to examine the usefulness of the brand origin concept in shaping the perceptions of Indian consumers.

Guided by recent advance in social identity theory and social motivation theory, a dynamic iterative model of brand origin recognition is proposed. Six hypotheses were tested using a sample of 145 consumers from west of India. Using paired t‐test, average consumer preference of brand origin was analysed for different product categories. A factor analysis with varimax rotation for determining band images was also carried out.

The results demonstrated that most consumers can recognise the brand origin correctly but the power of recognition decreases when the brand has a long history of “localization”. Distinguished trajectories of consumer perceptions of foreign brands and domestics brands were projected, and this allowed one to extend existing country of origin (CO) research to brand of origin research.

The results implied that brand origin is a useful concept for companies engaging in an emerging market such as India. But the changing nature of the concept requires careful steering and nurturing if companies want to attach a positive value to its brand via brand origin association.

Research into CO effect has been extensive. However, few studies examine empirically the effect of “brand origin” which is more appropriate in emerging market in today's increasingly competitive global environment. This paper is a first to explore the validity of the concept of brand origin in the Indian market.

Manufacturing errors, which will propagate along the assembly process, are inevitable and difficult to analyze for complex products, such as aircraft. To realize the goal of precise assembly for an aircraft, with revealing the nonlinear transfer mechanism of assembly error, a set of analytical methods with response to the assembly error propagation process are developed. The purpose of this study is to solve the error problems by modeling and constructing the coordination dimension chain to control the consistency of accumulated assembly errors for different assemblies.

First, with the modeling of basic error sources, mutual interaction relationship of matting error and deformation error is analyzed, and influence matrix is formed. Second, by defining coordination datum transformation process, practical establishing error of assembly coordinate system is studied, and the position of assembly features is modified with actual relocation error considering datum changing. Third, considering the progressive assembly process, error propagation for a single assembly station and multi assembly stations is precisely modeled to gain coordination error chain for different assemblies, and the final coordination error is optimized by controlling the direction and value of accumulated error range.

Based on the proposed methodology, coordination error chain, which has a direct influence on the property of stealthy and reliability for modern aircrafts, is successfully constructed for the assembly work of the jointing between leading edge flap component and wing component at different assembly stations.

Precise assembly work at different assembly stations is completed to verify methodology’s feasibility. With analyzing the main comprised error items and some optimized solutions, benefit results for the practical engineering application showing that the maximum value of the practical flush of the profiles between the two components is only 0.681 mm, the minimum value is only 0.021 mm, and the average flush of the entire wing component is 0.358 mm, which are in accordance with theoretical calculation results and can successfully fit the assembly requirement. The potential user can be the engineers for manufacturing the complex products.

Coordination feature (CF) is the information carrier in dimension and shape transfer process in aircraft manufacturing. The change of its geometric size, shape, position or other attributes would affect the consistency of accumulated errors between two or more assemblies. To identify these “key characteristics” that have a close relationship with the assembly precision, a comprehensive method was developed under digital manufacturing environment, which was based on importance calculation. The multi-hierarchy and multi-station assembly process of aircraft products were also taken into consideration.

First, the interaction and evaluation relationship between components at different manufacturing stages was decomposed with a hierarchical net. Second, to meet coordination accuracy requirements, with the integrated application of Taguchi quality loss function, accuracy principal and error correction coefficient H, the quality loss between target features and candidate features at adjacent assembly hierarchies were calculated, which was based on their precision variation. Third, the influence degree and affected degree of the features were calculated with DEMATEL (decision-making trial and evaluation laboratory) method, and the concepts of centrality degree index and cause degree index were proposed for calculating the complete importance degree to eventually identify the CFs.

Based on the proposed methodology, CFs, affecting the skin profile and the flush coordination accuracy, were successfully identified at different assembly hierarchies to a certain type of wing flap component.

Benefit results for the engineering application showed that the deviation of skin profile was more accurate than before, and the tolerance was also closer to the centerline of required assembly precision range. Moreover, the stability in the assembly process was increased by 26.9 per cent, which could bring a higher assembly quality and an enhancement on aircraft’s flight performance.

The purpose of this paper is to analyse consumer purchasing behaviour in different cultural settings by exploring the value of consumer reviews from various countries.

This study uses online review mining technology to collect, process and analyse user review data from multiple countries. The main procedures of this research are data collection, data pre-processing, feature extraction and sentiment analysis. Online reviews from the American, British and Indian websites for the iPhone 5s are analysed.

Every country has unique cultural characteristics, and these cultural differences affect consumers’ perceptions, attitudes and purchasing behaviours. The results show that consumers from different countries exhibit different levels of attention towards the same product and have different emotional inclinations for the same product feature. In addition, the study also identified the advantages and disadvantages of the product.

The user reviews provide abundant feedback information that serves as a good intelligence resource for companies. Under the premise of different language habits, this paper uses a universal approach to analyse consumer behaviour from online reviews in different countries, which can help reveal consumers’ emotional inclination towards each feature of a product. This approach can be extended to other brands of mobile phones or other industries.

Multinational companies should analyse the cultural characteristics of target groups when proposing transnational development strategies. Companies can understand the perceptions of their products based on the consumer reviews and can formulate their marketing and product strategies by considering consumer purchasing behaviours arising from cultural differences.

This study identifies differences in consumer behaviour in different cultural settings by using a data mining method, which can help companies understand consumer perceptions and the performance and quality of product features.

This paper aims to design an algorithm which is used to deal with non-linear discrete systems with constraints under the lower computation burden. As a result, we solve the non-holonomic vehicle tracking problem with the lower computational load and the convergence performance.

A fusion event-triggered model predictive control version is developed in this paper. The authors designed a shrinking prediction strategy.

The fusion event-triggered model predictive control scheme combines the strong points of event triggered and self-triggered methods. As the practical state approaches the terminal set, the computational complexity of optimal control problem (OCP) decreases.

The proposed strategy has proven to stabilize the system and also guarantee a reproducible solution for the OCP. Also, it is proved to be effected by the performance of the simulation results.

Riveting deformation is inevitable because of local relatively large material flows and typical compliant parts assembly, which affect the final product dimensional quality and fatigue durability. However, traditional approaches are concentrated on elastic assembly variation simulation and do not consider the impact of local plastic deformation. This paper aims to present a successive calculation model to study the riveting deformation where local deformation is taken into consideration.

Based on the material constitutive model and friction coefficient obtained by experiments, an accurate three-dimensional finite element model was built primarily using ABAQUS and was verified by experiments. A successive calculation model of predicting riveting deformation was implemented by the Python and Matlab and was solved by the ABAQUS. Finally, three configuration experiments were conducted to evaluate the effectiveness of the model.

The model predicting results, obtained from two simple coupons and a wing panel, showed that it was a good compliant with the experimental results, and the riveting sequences had a significant effect on the distribution and magnitude of deformation.

The proposed model of predicting the deformation from riveting process was available in the early design stages, and some efficient suggestions for controlling deformation could be obtained.

A new predicting model of thin-walled sheet metal parts riveting deformation was presented to help the engineers to predict and control the assembly deformation more exactly.