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Recently, the popularity of store brands has resulted in some manufacturer brands being removed from shelves. The current literature lacks empirical work on the effect of manufacturer brand erosion on consumer assortment perception and repatronage intention. Based on signalling theory, the purpose of this paper is to manufacturer brands play a signalling role and contend that manufacturer brand erosion has detrimental effects on the assortment perception due to reduced signalling efficacy.

A 3 (low manufacturer brand erosion vs high manufacturer brand erosion vs manufacturer brand dominance) ×2 (assortment size: small vs large) between-subject experiment was conducted.

Manufacturer brand erosion exerts a negative effect on assortment attractiveness and consumers’ repatronage intention; the greater the erosion, the larger the negative effect. These negative effects are mediated by reduced consumer perceptions of assortment quality and variety. A large (vs small) assortment size attenuates the negative effect of manufacturer brand erosion by improving perceived assortment quality.

To engage in strategic positioning through efficient assortment management, retailers should cooperate with brand manufacturers, instead of promoting their own private labels. Nevertheless, a large assortment dominated by store brands signals that the retailer has built a strong private brand, which in turn gains a differentiation advantage.

This paper is among the first to take the signalling perspective and explicitly investigate whether and how manufacturer brand erosion exerts a significant impact on assortment perception.

To influence consumer perceptions, firms often manipulate online product reviews on their own websites or third-party forums by anonymously adding positive reviews, deleting unfavorable reviews or offering rewards to encourage favorable reviews. This study aims to investigate consumer perceptions of online review deceptions and how these perceptions influence their subsequent purchase behavior. In particular, consumers’ awareness, suspicion and detection are studied and specific manipulation tactics are evaluated.

Both qualitative and quantitative studies are relied upon to understand consumer perceptions of online review deceptions. In-depth interviews with 16 experienced online shoppers were conducted to collect the illustrative accounts concerning consumer awareness of online review deceptions, their suspicion, detection and evaluation of different manipulation tactics. A survey of 199 consumers was then followed to validate and corroborate the findings from the qualitative study and generalize the interview results onto the general public.

The results from in-depth interviews suggest that consumers take a negative view toward online review deceptions, but the degree of negativity varies across different manipulation tactics. Moreover, different types of manipulations vary in terms of perceived deceptiveness, ease of detection and unethicality, as well as their effect on consumer purchase intention and perceived helpfulness of online product reviews. The findings from the survey further confirmed the qualitative findings.

The findings have a number of meaningful managerial implications for industry associations and policymakers on whether and how to regulate online review deceptions.

This study applies and extends information manipulation theory and deception detection literature to an online context to increase the richness of the relevant theories. It is among the first to empirically investigate online review deceptions from a consumer’s perspective, as opposed to a firm’s perspective as previous studies have done.

Consumers’ motivations for purchasing counterfeit branded luxuries are a topic of heated discussion amongst academics and practitioners. Drawing on self-discrepancy theory, the purpose of this paper is to examine the effects of actual-ideal self-discrepancy on consumers’ attitudes towards counterfeit branded luxuries. It investigates how self-monitoring and perceived social risk moderate this effect. Furthermore, it explores cross-cultural differences in the impact of actual-ideal self-discrepancy.

A pilot study provides preliminary evidence that highlights the importance of actual-ideal self-discrepancy in counterfeit consumption. Based upon a large-scale survey across Hong Kong, the USA and Australia, the principal study explores the moderating effect of self-monitoring and perceived social risk as well as cross-cultural differences.

The results indicate that self-discrepancy increases consumers’ tendency to engage in symbolic consumption, and that consumption of counterfeit branded luxuries can serve the social function of self-expression to reduce the discomfort induced by self-discrepancy. Self-monitoring and perceived social risk have significant moderating effects, with the former strengthening and the latter attenuating this effect. Moreover, the effect of self-discrepancy is more pronounced amongst individualistic consumers than collectivistic consumers.

This is the first study to highlight the significance of self-discrepancy in the consumption of counterfeit branded luxuries. It examines the important moderating effects of self-monitoring and perceived social risk. Consumers from collectivistic and individualistic cultures define their self-concept differently, thus the findings provide meaningful cross-cultural information on the impact of self-discrepancy in counterfeit consumption.

With the development of the city, the urban parks of the red revolutionary culture have been gradually recognized by people. Red culture can arouse people's special memory for a period and a city, thus gradually applying to the urban landscape planning. Based on this, in this paper, in terms of terrain, water, artificial structure, light and shade, color and so on, the urban park landscape of the red revolutionary culture was planned and studied. At the same time, by using a large number of successful cases of domestic red landscape and foreign commemorative landscape, a way of thinking and method for the design of red landscape was explored. In addition, taking the Wuzhishan red cultural theme park as an example, the study was carried out, and the problems faced by the red culture theme park in the planning and design stage were expounded. Finally, the theory was applied to practice, thus providing an example for reference.

The authors investigated how and when work connectivity behavior after-hours (WCBA) spilled over to cyberloafing, considering ego depletion as a mediator and motivations and workaholism as moderators. This paper aims to discuss the aforementioned objective.

In Study 1, 380 employees participated in a scenario experiment with a 2 × 2 between-subjects design. Studies 2 and 3 involved 483 and 406 employees, respectively in two two-wave surveys.

WCBA was indirectly linked to cyberloafing via ego depletion. However, when WCBA was driven by high autonomous and low controlled motivation, it exerted less influence on ego depletion, thus weakening the mediating effect of ego depletion. Moreover, the association between WCBA and ego depletion was not significant among employees accustomed to excessive work. The indirect effect of ego depletion also operated contingently on the level of excessive work.

The findings shed light on the spillover effects of WCBA, suggesting that WCBA may lead to cyberloafing by depleting resources. However, the influence of WCBA on ego depletion is concealed when employees engage in WCBA autonomously or are habituated to excessive work.

The purpose of this paper is to examine the influence of innovativeness, change seeking and cognitive effort on consumer responses to traditional versus virtual testing environment.

The empirical study collects concept evaluations of five heterogeneous consumer appliances, from 400 members of an online panel. Generalizability theory (hereafter G theory) is used to assess the psychometric quality of the evaluation data in different testing environments.

The results show that subjects with high innovativeness and change seeking report significantly more favorable concept evaluations and generate better quality data. However, the effect of innovativeness on testing outcomes and data quality would be reduced in virtual testing environment.

The results indicate that using firm or industry norms to interpret the testing outcome will be biased unless it accounts for whether the screening processes result in equally innovative or variety seeking samples of respondents.

Managerially, the current results indicate that a product manager wanting to concept test a pool of appliance concepts can benefit from screening for the respondents, who will provide higher quality concept testing data in a traditional testing environment. However, the effects of traits on data quality are mitigated in a virtual testing environment. The findings provide a surprising insight that subject selection is not a more critical issue in virtual testing.

This paper aims to discuss the inverse problems that arise in various practical heat transfer processes. The purpose of this paper is to provide an identification method for predicting the internal boundary conditions for thermal analysis of mechanical structure. A few examples of heat transfer systems are given to illustrate the applicability of the method and the challenges that must be addressed in solving the inverse problem.

In this paper, the thermal network method and the finite difference method are used to model the two-dimensional heat conduction inverse problem of the tube structure, and the heat balance equation is arranged into an explicit form for heat load prediction. To solve the matrix ill-conditioned problem in the process of solving the inverse problem, a Tikhonov regularization parameter selection method based on the inverse computation-contrast-adjustment-approach was proposed.

The applicability of the proposed method is illustrated by numerical examples for different dynamically varying heat source functions. It is proved that the method can predict dynamic heat source with different complexity.

The modeling calculation method described in this paper can be used to predict the boundary conditions for the inner wall of the heat transfer tube, where the temperature sensor cannot be placed.

This paper presents a general method for the direct prediction of heat sources or boundary conditions in mechanical structure. It can directly obtain the time-varying heat flux load and thtemperature field of the machine structure.

This study investigated the travel intentions (TIs) of Chinese travelers and their utilization of virtual tourism technology during the Zero COVID-19 policy period by using a stimulus-organism-response (SOR) model. The study specifically examines the interplay between knowledge of policy, perception of risk, TI, usage of virtual tourism technology (UVTT) and the mediating role of personal values.

The data were collected from 333 Chinese travelers through an online questionnaire, and structural equation modeling (SEM) was employed to test the proposed hypotheses.

The study suggests that knowledge of policy and risk perception increase changes in personal values (PVs), which, in turn, affect Chinese travelers' TIs and the UVTT, with PVs playing a mediating role. Risk perception has a positive effect on the UVTT.

This study highlights the positive impact of tourism policy knowledge and risk awareness on individual values as a stimulus. Stakeholders need to implement industry-specific policies that are in line with scientific developments. Tourism managers should prioritize understanding the psychological reactions of tourists in crises and provide support to mitigate negative emotions. Anticipating changes in PVs is crucial, as instability affects tourists' behavior. The findings of the study also provide valuable insights for technology designers and underscore the substitutability of virtual technologies in improving the tourism experience.

This study is the first to examine the mediating role of PVs in the relationship between knowledge of policy, tourism risk perception (TRP), TI and the UVTT based on the SOR model. The insights gained from this analysis can assist policymakers and tourism managers in understanding the psychological changes of tourists, thereby facilitating the development of appropriate tourism planning.

The development of digital inclusive finance appears to be able to solve the difficulty of traditional finance, which cannot completely cover agriculture and farmers and provides better financial services and products to Chinese farmers. Thus, it improves the farmers' enthusiasm for agricultural production. The purpose of this paper is to clarify whether this goal is indeed being achieved.

This paper theoretically analyzes the mechanism that influences the effect of digital inclusive finance on rural households' agricultural production decisions and conducts an empirical study based on a sample from the Chinese family database (CFD).

First, the development of digital financial inclusion in general can encourage rural households to reduce agricultural production. Second, the negative effect of digital inclusive finance on households' agricultural output is realized by widening the gap between the efficiency of non-agricultural economic activities and the efficiency of agricultural production. The wider the gap is, the lower the enthusiasm of households for agricultural production. Third, the mediating effect of “digital financial inclusion – difference in efficiency – agricultural output” has a significant negative effect on households with low agricultural production efficiency, but not households with high agricultural production efficiency. Digital inclusive finance has no significant effect on the difference in efficiency between the two economic activities of high-efficiency households, but a greater difference in efficiency between the two economic activities corresponds to higher enthusiasm of households for agricultural production.

To the best of our knowledge, this paper is the first to analyze the impact of digital financial inclusion on Chinese farmers' agricultural production. The findings of this study can provide policy-related insights to help local governments promote the development of digital finance in China's agricultural economy.