• The Journal of Industrial Distribution & Business
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• v.11 no.8
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• pp.39-49
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• 2020

Purpose: Current study aimed at exploring the roles of system justification in the effects of consumers' self-identification with the threatened social in-group on the within-domain versus across-domain consumption. It focused on whether there are positive effects of both of the self-definition and the self-investment on the in-group system justification, and also explored whether the system justification, in turn, could make positive effects on the consumption. Research design, data and methodology: The self-identification was approached in view of self-definition and self-investment when the in-group was threatened by members of their out group. The empirical study was performed with the single factor within-subject design based on the feeling of the consumers' being threatened when the in-group was criticized by the others. The in-group threatened was accessed from the memory of each of the undergraduate students participating in the empirical study by asking them to remember the events by which their important in-group was perceived to be threatened in their past life. Questionnaire data collected from the undergraduate students were used to verify research hypotheses by structural equation model in Amos 21.0 program. Results: First, the self-definition positively affected the within-domain versus across-domain consumption, but did not affect the in-group system justification. Second, the self-investment positively affected the in-group system justification. Third, the system justification made positive effects on the within-domain versus the across-domain consumption. Therefore, this article could contribute to the development of the theory related to compensatory consumption in the view that there could be the positive mediation roles of system justification in the effects of consumers' self-investment to their in-group on the within-domain versus across-domain consumption when the in-group is threatened. Conclusions: The results of this study could give managerial implications to brand or product marketing managers. How to vitalize consumers' self-definition with, and self-investment to, the threatened in-group is at issue to the marketers when consumers' important in-group was threatened by others. By evoking the in-group-based self-investment to consumers when the in-group was threatened, the marketers should increase the level of the system justification, and the marketers should promote the consumers to recognize that their products or brands are included into the within-self domain.

• The Journal of Industrial Distribution & Business
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• v.10 no.11
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• pp.35-47
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• 2019

Purpose: Current study focused on investigating the effects of the self-dissociation as a thought in which consumers dis-identify or dissociate with the threatened in-group and the escapism as a tendency of consumers' distracting themselves and avoiding their thoughts about the in-group under severe but adoptable criticism by turning their attention elsewhere on across-domain compensatory consumption intention. And It explored not only the positive roles of undesirability thought against the in-group in consumers' forming the self-dissociation and the escapism, but also the effects of negative emotion to the in-group felt at the place of being exposed to the criticism against the in-group on the escapism. Research design, data, and methodology: The experiment was performed with the in-group-threatening single factor within-subject design. Questionnaire data were collected from 196 undergraduate students, and the data were used to testing research hypotheses by structural equation model of Amos 21.0. Results: First, both the self-dissociation of consumers' dis-identifying with the in-group criticized severely by others and the escapism of their deliberately directing their thoughts and distracting their attention away from thinking the in-group positively influenced on the across-domain compensatory consumption intention. Second, the negative emotion positively influenced on the escapism. Third, the undesirability thought to the in-group under the severe criticism positively effected on the self-dissociation as well as the escapism. Putting in the nutshell, the findings of this study are consistent with the idea that consumers can overcome the negative self-discrepancy on one dimension of their social identity by distracting themselves and avoiding thinking about the threatened in-group to find meaning on another dimension which might lead them to the place of doing the across-domain compensatory consumption. Conclusions - Focusing on the results of this study, checking which aspects of consumers' social identity are linked to products or brands is at issue to marketers when the consumers are faced with the criticism against the in-group. The marketers should build the messages about their products or brand not related to the checked aspects, and communicate the messages, to lead the consumers to the place of doing the across-domain compensatory consumption by their products or brands.

• The Journal of Industrial Distribution & Business
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• v.12 no.6
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• pp.75-88
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• 2021

Purpose: This research aimed at exploring the functions of consumers' perceiving approach and avoidance roles and their feeling anger and disgust in the effect of the two types of self-discrepancy at social identity such as the ideal self-discrepancy and the ought self-discrepancy on within-self domain versus across-self domain consumption. Research design, data, and methodology - This study divided the self-discrepancy group into the ideal self-discrepancy and the ought self-discrepancy group as experimental groups for empirical study. Self-discrepancy type between-subjects design was used to develop two types of questionnaire according to the type of experimental groups. The platform, 'questionnaire stars' of 'WeChat' in China was used to collect 103 data from the ideal self-discrepancy group and 102 from the ought self-discrepancy group for empirical study. T-test and the structural equation model in Amos 21 were used to verify hypotheses developed through theoretical review. Results - First, ideal self-discrepancy positively affected the role-approaching goal and anger. Second, ought self-discrepancy positively affected the role-avoiding goal and disgust. Third, the role-approaching goal and anger positively influenced on the within- versus across- domain consumption. Fourth, the disgust negatively influenced on the within- versus across- domain consumption, however the role-avoiding goal did not influence on the consumption. Fifth, there was the mediation roles of anger (disgust) in the effects of ideal (ought) self-discrepancy on the consumption. Conclusions - When consumers feel anger at the ideal self- discrepancy induced by in-group, it is necessary for the marketers to promote their product brand used by the in-group. They should develop and advertise the messages priming the ideal self-discrepancy and the anger to increase the intent to purchase or use their product brand when the in-group members have used the brand by relating the brand to their social identity concerned with the ideal self-discrepancy. However, marketers should help consumers feel disgust by developing and advertising the messages expressing the ought self-discrepancy to lead the consumers to the place of purchasing or using their product brand when the members have used the brand based on keeping the consistence between the brand and other social identity not related to the ought self-discrepancy.

• Journal of Communications and Networks
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• v.12 no.2
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• pp.130-139
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• 2010

Environmental issues and the need to reduce energy consumption for lowering operating costs have pushed power efficiency to become one of the major issues of current research in the field of wireless networks. This paper addresses a number of multiple input multiple output (MIMO) precoding and scheduling techniques across the PHY and MAC layers that can operate under a reduced link budget and collectively improve the transmit power efficiency of a base station, while maintaining the same levels of service. Different MIMO transmission and precoding schemes proposed for LTE, achieving varying degrees of multiuser diversity in both the time, frequency as well as the space domain, are examined. Several fairness-aware resource allocation algorithms are applied to the considered MIMO schemes and a detailed analysis of the tradeoffs between power efficiency and quality of service is presented. This paper explicitly examines the performance of a system serving real-time, VoIP traffic under different traffic loading conditions and transmit power levels. It is demonstrated that by use of efficient scheduling and resource allocation techniques significant savings in terms of consumed energy can be achieved, without compromising QoS.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.