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The present research responds to researchers’ calls for more research of consumer animosity on potential boundary conditions (e.g. product categories) and marketing strategies that may mitigate such negative impacts on marketers’ product and/or brand performance, with a special focus on the soft service sector. This paper aims to address the unique characteristics of service internationalization, i.e. cultural embeddedness, hybridized country origins and high consumption visibility, by proposing a social identity signaling model to explain consumer animosity effects in the soft service sector.

Two surveys (Pretest with 240 participants and Study 1 with 351 participants) and one experiment (Study 2 with 731 participants) were conducted to empirically test our hypotheses in the Japanese-Chinese relationship context.

The stronger the national/cultural symbolism and social expressiveness, the stronger the consumer avoidance for the service category. Then the consumer culture positioning strategy that can mitigate an offending country’s cultural symbolism can reduce consumer avoidance.

This research introduces two factors that could affect the negative social identity signaling capacity of service categories in the animosity context: the national/cultural symbolism reflecting an offending country and the social expressiveness communicating social identity. In line with the social identity signaling perspective, the present research specifically uses consumer avoidance as the dependent variable to capture the notion that consumers avoid consuming services because they wish to avoid being associated with an offending country that may threaten their in-group social identities.

The purpose of this paper is to explore Taiwan’s regional energy efficiency trend and complement the work of the total-factor energy efficiency (TFEE) index proposed by Hu and Wang (2006). It further extends panel data stochastic frontier analysis (SFA) modeling for estimating disaggregate energy efficiency.

This paper applies the panel data stochastic production frontier to estimate the TFEE scores for 20 administrative regions in Taiwan over the period 2004-2015. The SFA models include five inputs (employed population, amount of productive electricity power consumed, amount of electricity consumed for household and non-household electric lighting, amount of gasoline sales, and amount of diesel sales) and one output (total real income in the base year of 2011).

This research concludes with three main findings: the inefficient administrative regions of Taiwan include mostly large industrial parks and the petrochemical industry cluster; the top five administrative regions with inefficient diesel use are mostly metropolitan areas that the concern of air pollution caused by diesel system arouses the awareness to use less diesel fuel; and the average TFEE score on household and non-household electric lighting is higher than the usage efficiency of productive electricity power, gasoline, and diesel, but there is still room for efficiency improvement.

Most administrative regions in Taiwan are not efficient in almost all kinds of energy use. The results show that the efficiencies of using productive electricity power, gasoline, and diesel need to be improved a lot more.

ETL format is a newly proposed CAD format, which is both simple enough that CAD models in this format can be easily sliced, and capable of describing solids with arbitrarily complex surface details. This paper aims to provide a method for slicing CAD models in ETL format.

The proposed slicing method is based on a method for slicing CAD models in colour STL format. Affine mapping method is used to calculate the colour of the intersection polygon of a voxel in the slicing result volume dataset, and a triangular facet that constitutes the geometry of the described object, when the facet has texture mapping definition.

The proposed slicing method is simple and robust. Implementations have demonstrated its feasibility.

The proposed slicing method is meaningful to preparing data for the rapid formation of models with complex surface details, including colour and textures.

The purpose of this paper is to evaluate the forecasting performance of grey prediction models on educational attainment vis-à-vis that of exponential smoothing combined with multiple linear regression employed by the National Center for Education Statistics (NCES).

An out-of-sample forecasting experiment was carried out to compare the forecasting performances on educational attainments among GM(1,1), GM(1,1) rolling, FGM(1,1) derived from the grey system theory and exponential smoothing prediction combined with multivariate regression. The predictive power of each model was measured based on MAD, MAPE, RMSE and simple F-test of equal variance.

The forecasting efficiency evaluated by MAD, MAPE, RMSE and simple F-test of equal variance revealed that the GM(1,1) rolling model displays promise for use in forecasting educational attainment.

Since the possible inadequacy of MAD, MAPE, RMSE and F-type test of equal variance was documented in the literature, further large-scale forecasting comparison studies may be done to test the prediction powers of grey prediction and its competing out-of-sample forecasts by other alternative measures of accuracy.

The findings of this study would be useful for NCES and professional forecasters who are expected to provide government authorities and education policy makers with accurate information for planning future policy directions and optimizing decision-making.

As a continuing effort to evaluate the forecasting efficiency of grey prediction models, the present study provided accumulated evidence for the predictive power of grey prediction on short-term forecasts of educational statistics.

Employing the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study examines the potential differences between two groups of hotel guests – business and leisure travelers – in terms of factors influencing their intention to purchase hotel products on Douyin (TikTok) in China.

Data gathered from 700 Chinese hotel guests was analyzed using partial least squares-structural equation modeling (PLS-SEM) and multigroup analysis (MGA).

The MGA results reveal that three newly added variables – personalization, perceived interactivity and perceived creativity – significantly influence the purchase intention of leisure travelers but not business travelers. Regarding the conventional UTAUT2 variables, leisure travelers are more influenced by hedonic motivation and price value in their purchasing decisions. In contrast, performance expectancy and effort expectancy have a greater impact on the decision-making process of business travelers than their leisure counterparts.

Theoretically, this paper is among the first to explore traveler types as moderators in the purchase of hotel products on Douyin. Practically, the findings offer valuable guidance for hotel marketers aiming to leverage Douyin to promote hotel products to these two different traveler segments.

Instead of using “one-size-fits-all” strategies, hotel managers should design marketing strategies that address the diverse needs of business and leisure travelers on Douyin. By implementing this strategy, they can effectively attract target customers and, in turn, increase hotel revenue.

This study expands the UTAUT2 framework and contributes to the scarce knowledge about the differences between business and leisure travelers regarding the relative importance of factors that influence their purchase intention for hotel products on Douyin among business and leisure travelers.

This paper aims to propose a two-period model, including an original manufacturer, a retailer and a third-party remanufacturer, in which the products manufactured by the original manufacturer are patent-protected and the remanufacturing degree of remanufactured products influences the purchasing decisions of consumers.

This paper analyzes the decisions of the original manufacturer, the retailer and the third-party remanufacturer of two periods, using Stackelberg game and obtains the equilibrium solutions of the three parties.

The study finds that consumers’ focus degree to the remanufacturing degree has a negative correlation with the equilibrium unit patent-licensing fee, the retail price of remanufactured products, the remanufacturing degree of remanufactured products and the wholesale price of new products in the first period, but has a positive correlation with the retail price of new products in the second period.

(1) Consumers’ focus degree to the remanufacturing degree has a negative correlation with the equilibrium unit patent-licensing fee, the retail price of remanufactured products, the remanufacturing degree of remanufactured products and the wholesale price of new products in the first period, but has a positive correlation with the retail price of new products in the second period. (2) The remanufacturing action efficiency of the third-party remanufacturer has a positive correlation with the equilibrium unit patent-licensing fee, the retail price of remanufactured products, the remanufacturing degree of remanufactured products and the wholesale and retail prices of new products in the second period.

The purpose of this paper is to propose a dedication-constraint-temptation (DCT) model to study the factors influencing customers’ loyalty to mobile data service (MDS) providers. The DCT model explicitly explores the important yet overlooked role of alternative attractiveness (the temptation-based mechanism) as a mediator and the boundary condition of their interrelationships (e.g. relationship length). The model also integrates new and established antecedents of customer-based brand equity (C-BBE) (the dedication-based mechanism) and switching barriers (the constraint-based mechanism).

The proposed model is tested using partial least squares–structural equation modeling with a sample of 331 MDS users.

The results indicate that C-BBE has an indirect effect on customer loyalty (via alternative attractiveness) in both relationship groups (shorter- vs longer-term). However, the indirect effect of switching barriers on customer loyalty only exists in longer established relationships. The results from multi-group analysis reveal that the effect of switching barriers on alternative attractiveness significantly differs across groups. In addition, customer value anticipation and procedural switching costs appear to be the most salient antecedents of C-BBE and switching barriers for both groups.

This study makes an incremental contribution by incorporating the temptation-based mechanism as a mediator and relationship length as a moderator into the dedication-constraint model. This study also extends the information systems and brand management literatures by demonstrating the strategic importance of customer value anticipation in the information and communication technology brand equity-building.

The emergence of social media has brought the influencer marketing landscape to an unprecedented level, where many ordinary people are turning into social media influencers. The study aims to construct and validate a model to yield strategic insights on the relevance of content curation, influencer–fans interaction and parasocial relationships development in fostering favorable endorsement outcomes (i.e. purchase intention).

The present study analyzes data from a survey of 411 consumers using partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA) to understand the net and combined effects of content attributes, interaction strategies and parasocial relationships on purchase intention.

PLS-SEM results reveal that content attributes (i.e. prestige and expertise) and interaction strategies (i.e. interactivity and self-disclosure) positively influence parasocial relationships, and in turn, lead to high purchase intention. Findings from fsQCA indicate six solutions with different combinations of content attributes, interaction strategies and parasocial relationships that sufficiently explain high purchase intention.

The present study demonstrates the roles of content attributes and interaction strategies in engendering parasocial relationship and the endorsement outcome (i.e. purchase intention) from both linear and non-linear (complexity) perspectives.

This study investigates information quality, information security technology and information sharing with moderation by information security culture and information leakage and how they all play out to influence supply chain performance for contract suppliers (Contract), noncontract suppliers (Noncontract) and pooled suppliers (Contract and Noncontract combined).

Multigroup analysis was deployed to compare the impact on Contract and Noncontract.

The finding on pooled suppliers confirmed the hypothesis that, in the multigroup analysis, information security culture negatively impacted the information quality–information sharing relationship of Contract.

The practical learning point is that Noncontract could still share information and perform and in some instances better than Contract. Noncontract suppliers are still workable.

Information security culture motivated Noncontract to share and perform better than Contract. This result presents a dilemma.

As perceived corporate social responsibility (CSR) has become one of the long-term sustainable development strategies for many companies, this paper investigates the interrelationships between sustainable values (SVs), perceived CSR and customer behaviour in the restaurant industry.

To gather data needed to meet the study aims, we conducted an online survey of restaurant patrons in China, and used partial least squares structural equation modelling (PLS-SEM) to analyse the proposed models and test the hypotheses.

The obtained findings confirm that the three studied SV dimensions (equality, respect for nature and shared responsibility) have positive effects on perceived CSR, which in turn significantly affects word of mouth (WOM). Moreover, perceived CSR mediates the relationship between the three SVs and WOM but has no impact on the relationship between SVs and revisit intention.

The results of this study have practical implications for managers in the restaurant industry. Restaurant managers can prioritize their CSR efforts based on the relative importance of SV dimensions, which is useful in generating positive WOM.

Even though the importance of CSR is widely recognised, it is insufficiently studied from the perspective of restaurant customers. This research not only addresses this gap, but also expands the current understanding of SVs and their impact on CSR.