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This study investigates the role of source familiarity in moderating the effect of service adaptive behavior (SAB) on customer satisfaction. Applying the accessibility–diagnosticity framework and situated cognition theory as the theoretical basis, this research hypothesizes that when customers are familiar with the source that provides the service (i.e. brand familiarity for Study 1 and personal familiarity for Study 2), customer satisfaction responses to SAB would be more moderate than when customers are not familiar with the source. Two studies were conducted to test the hypotheses.

Two experiments manipulating SAB and the brand name familiarity (Study 1) and personal familiarity with the service staff (Study 2) as the source familiarity were conducted. Customer satisfaction as a function of source familiarity was measured to test the hypothesis that source familiarity moderates the relationship between SAB and customer satisfaction.

Compared to unfamiliar sources, familiar sources generated a more moderate response in customer satisfaction as a function of SAB. High familiarity with the brand and service staff induced top-down, memory-based processing that overrides external stimuli as the basis of satisfaction judgment; bottom-up, stimulus-based processing relying on SAB for judgment kicked in only when the source familiarity is low.

From a practical point of view, this study indicates the importance of SAB, especially for brands with low awareness, and alludes to the comparative importance of relationship building in service delivery processes.

This study contributes to the literature by validating the role of contextual factors in influencing the impact of SAB on customer satisfaction.

The authors provide a comprehensive empirical examination on the impact of earnings quality on stock price crash risk in China.

The authors acknowledge and distinguish two-dimensional proxies for earnings quality – accounting-based (earnings management degree) and market-based (earnings transparency) known in accounting and finance literature.

The authors find that both generally indicate that better earnings quality is associated with less crashes. However, extremely high earnings transparency interacted with insider trading profit can also actually exacerbate stock price crashes.

This study is the first to highlight the pertinence of accounting-based measures to proxy for earnings quality in a fast-growing emerging market environment such as China.

The paper examines the cultural differences in consumers' evaluations of vertical brand extensions.

A 2 (extension types: upward, downward) × 2 (nationality: USA, China) × 2 (ownership: owner, non-owner) between-subjects design with thinking styles as a covariate was employed to test consumers' evaluations of vertical brand extensions. A total of 228 subjects from the US and 194 from China participated in the two experimental studies.

The paper finds that consumers prefer downward extensions to upward extensions. Furthermore, Chinese consumers have even more favorable evaluations of downward extension products than do American consumers. In addition, analytic thinkers exhibit a stronger ownership effect than holistic thinkers.

The research contributes to the understanding of culture differences in vertical brand extension evaluations.

Due to fierce competition in the mobile retailing market, it is desirable to identify the success factors driving consumers to reuse a mobile shopping application. This research intends to develop a model for mobile shopping app success by integrating an e-commerce systems success (ESS) model and sales promotion benefits and parasocial interaction literatures.

302 useable online questionnaires were obtained. The data analysis was conducted using the structural equation modelling.

The results indicate the validity of the ESS model in predicting consumers' reuse intention of mobile shopping apps where three quality dimensions of system, information and service facilitate both perceived value and user satisfaction, which in turn generates reuse intention. Furthermore, savings and entertainment denoting the utilitarian and hedonic sales promotion benefits have positive impact on perceived value but have no influence on satisfaction. Parasocial intention between consumers and sellers facilitates both value perception and satisfaction.

This research contributes to the mobile retailing literature by identifying the success factors driving consumers' continuance intention of mobile shopping apps. Theoretically, it validates and extends the ESS model in mobile shopping app context by identifying savings, entertainment and parasocial interaction as additional success factors. Based on the findings, two approaches are proposed to suggest mobile retailers design a successful mobile shopping app.

Based on the concept of information salience, the research investigates the factors that might drive potential differences in consumers' preferences between offers framed as free with purchase or as a bundle.

Four experiments examined how participants' preferences for bundled offers or free-with-purchase offers varied as a function of the perceived benefits to be obtained from the supplementary products (studies 1a and 1b) and identified participants' sensitivity to the price of the supplementary component as a mediator of the framing effect of a promotional offer (study 2) and the provision of information facilitating the drawing of comparisons as the boundary condition constraining the effectiveness of a free-with-purchase offer (study 3).

Results show that a bundled offer is preferable to a free-with-purchase offer when the supplementary product provides a high-level rather than a low-level benefit and identify price sensitivity as an underlying mechanism behind the observed effect. Furthermore, consumers' sensitivity to the value of the focal product in the deal brought to their attention by comparative information makes a fair charge for a relatively unattractive component the preferable offer.

While much of the existing published research on bundled offers focuses on the assigning of discounts to individual products in the bundle, this study adds to the body of knowledge by showing that variation in perceived benefits is the key driver of different responses to a free-with-purchase offer versus a bundled offer.

The purpose of this study is to focus on a database from a supermarket for market segmentation.

Rather than using the questionnaire to collect the customers' purchase behaviors, this study uses a database from a supermarket as an example to illustrate how market segmentation can be performed by adding useful variables particularly from behavioral variables and through Chi-square test and analysis of variance.

The illustration of the database from a branch supermarket shows that two demographic variables (gender and age group) and two behavioral variables (date of transactions and time of purchase) are critical variables for market segmentation when total money spent and purchased merchandize items are taken into consideration.

This case study can be a reference for supermarket practitioners to follow in order to increase profit and to provide better services for their customers.

No studies have been found to combine demographic variables, behavioral variables, merchandize items and total amount for market segmentation simultaneously. Different combinations of demographic variables, behavioral variables and merchandize items can be further used to perform market segmentation more effectively. This framework used in this case study can be further applied in similar industries including retail industries for market segmentation as well as to fulfill customer needs in practice.

The purpose of this study is to establish an effective numerical simulation method to describe the flow pattern and optimize the strategy of noncontact mixing induced by alternating Gaussian light inside a nanofluid droplet and analyzing the influencing factors and flow mechanism of fluid mixing inside a droplet.

First, the heat converted by the alternating incident Gaussian light acting on the nanoparticles was considered as the bulk heat source distribution, and the equilibrium equation between the surface tension and the viscous force at the upper boundary force was established; then, the numerical simulation methods for multiple-physical-field coupling was established, and the mixing index was used to quantify the mixing degree inside a droplet. The effects of the incident position of alternating Gaussian light and the height of the droplet on the mixing characteristics inside a droplet were studied. Finally, the nondimensional Marangoni number was used to reveal the flow mechanism of the internal mixing of the droplet.

Noncontact alternating Gaussian light can induce asymmetric vortex motion inside a nanofluid droplet. The incident position of alternating Gaussian light is a significant factor affecting the mixing degree in the droplet. In addition, the heat transfer caused by the surface tension gradient promotes the convection effect, which significantly enhances the mixing of the fluid in the droplet.

This study demonstrates the possibility of the chaotic mixing phenomenon induced by noncontact Gaussian light that occurs within a tiny droplet and provides a feasible method to achieve efficient mixing inside droplets at the microscale.

A new and explicit form of the elastic strain-energy function for modeling large strain elastic responses of soft solids is constructed based on Hencky's logarithmic strain tensor.

Well-designed invariants of the Hencky strain are introduced for characterizing deformation modes and, furthermore, a new interpolating technique is proposed for combining piecewise splines into a single smooth function.

With this new form and this new technique, objectives in three respects may be achieved for the first time.

First, no adjustable parameters need to be treated. Second, large strain responses for three benchmark modes are derivable in a decoupled sense without involving strongly nonlinear coupling effects. Finally, large strain data may be automatically and accurately matched for three benchmark modes, including uniaxial, equi-biaxial and plane-strain extension. Numerical examples are presented and compared with usual approaches.

The set-union knapsack problem is one of the most significant generalizations of the Non-deterministic Polynomial (NP)-hard 0-1 knapsack problem in combinatorial optimization, which has rich application scenarios. Although some researchers performed effective algorithms on normal-sized instances, the authors found these methods deteriorated rapidly as the scale became larger. Therefore, the authors design an efficient yet effective algorithm to solve this large-scale optimization problem, making it applicable to real-world cases under the era of big data.

The authors develop three targeted strategies and adjust them into the adaptive tabu search framework. Specifically, the dynamic item scoring tries to select proper items into the knapsack dynamically to enhance the intensification, while the age-guided perturbation places more emphasis on the diversification of the algorithm. The lightweight neighborhood updating simplifies the neighborhood operators to reduce the algorithm complexity distinctly as well as maintains potential solutions. The authors conduct comparative experiments against currently best solvers to show the performance of the proposed algorithm.

Statistical experiments show that the proposed algorithm can find 18 out of 24 better solutions than other algorithms. For the remaining six instances on which the competitor also achieves the same solutions, ours performs more stably due to its narrow gap between best and mean value. Besides, the convergence time is also verified efficiency against other algorithms.

The authors present the first implementation of heuristic algorithm for solving large-scale set-union knapsack problem and achieve the best results. Also, the authors provide the benchmarks on the website for the first time.