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This study aims to examine the effects of contractual fairness and power sources on the relationship between the buyer and supplier on the innovation performance of the supplier. The mediating role of social capital accumulation between fairness, power and innovation performance was empirically explored.

Hypotheses were developed to investigate the relationships between supply chain fairness, power sources, social capital and innovation performance. Using structural equation modeling, the hypotheses were tested on data of 209 responses collected from supplying firms in South Korea.

This study finds that supply chain contractual fairness and referent power use contribute to the innovation performance of the supplier through social capital accumulation between the buyer and supplier. Coercive power, in contrast, impedes the performance improvement of the supplier.

This study provides supply chain practitioners, academics and policy-makers with guidance on how to facilitate and enhance innovation capabilities and performance across the supply chain. By applying social capital theory, this study also provides theoretical underpinning of the literature on supply chain fairness, power and innovation.

The purpose of this study is to examine how the liability of foreignness (LOF), choice of incorporation and an institutional change independently and jointly affect a reverse merger (RM) firm’s capital-raising performance.

The study draws on the data of shell reverse merger transactions in the USA from 2007 to 2016.

This paper finds that LOF and the choice of incorporation as a signal have a significant effect on RM firms’ capital-raising performance. In addition, this study finds that the effectiveness of the signaling can be affected by LOF. Finally, this paper finds that an institutional change that lowers the entry barrier to the initial public offering (which is a superior alternate to an RM) affects the impacts of LOF and signaling on RM firms’ capital-raising performance.

The study contributes to the international business literature by examining the RM (which has been an under-researched topic in the literature) by drawing on the LOF framework. The study finds that LOF and the choice of state for incorporation affect RM firms’ capital-raising performance; moreover, these relationships are affected by an institutional change.

This study aims to empirically analyze the effects of marketing communications, such as advertisement/promotion and social network service (SNS) content, on consumer engagement (CE), brand trust and brand loyalty.

The study’s participants were 230 US and 376 Korean consumers who have used (i.e. contacted) a food service establishment (i.e. family restaurant) at least once before and who continue to use an SNS (e.g. Facebook and Instagram). This study conducted a hypothesis test using structural equation modeling analysis. In addition, hierarchical analysis was performed to further generalize and support the statistical analysis results.

Advertisement/promotion and SNS content have a statistically significant positive effect on CE. Advertisement/promotion has a statistically significant positive effect on brand trust, and SNS content has a statistically significant negative effect on brand trust. CE has a statistically significant positive effect on brand trust, and CE and brand trust have a statistically significant positive effect on brand loyalty. No statistically significant differences were shown between the US and Korean consumer groups (critical ratios for difference of path coefficient < ± 1.96). The hypothesis test results of the structural equation model analysis and hierarchical analysis were the same for the entire group.

The findings indicate that the overall mediating role of CE is important. To the best of the authors’ knowledge, this is the first study to investigate which marketing communication channels are most effective in the restaurant sector.

As the penalized vortex-in-cell (pVIC) method is based on the vorticity-velocity form of the Navier–Stokes equation, the pressure variable is not incorporated in its solution procedure. This is one of the advantages of vorticity-based methods such as pVIC. However, dynamic pressure is an essential flow property in engineering problems. In pVIC, the pressure field can be explicitly evaluated by a pressure Poisson equation (PPE) from the velocity and vorticity solutions. How to specify far-field boundary conditions is then an important numerical issue. Therefore, this paper aims to robustly and accurately determine the boundary conditions for solving the PPE.

This paper introduces a novel non-iterative method for specifying Dirichlet far-field boundary conditions to solve the PPE in a bounded domain. The pressure field is computed using the velocity and vorticity fields obtained from pVIC, and the solid boundary conditions for pressure are also imposed by a penalization term within the framework of pVIC. The basic idea of our approach is that the pressure at any position can be evaluated from its gradient field in a closed contour because the contour integration for conservative vector fields is path-independent. The proposed approach is validated and assessed by a comparative study.

This non-iterative method is successfully implemented to the pressure calculation of the benchmark problems in both 2D and 3D. The method is much faster than all the other methods tested without compromising accuracy and enables one to obtain reasonable pressure field even for small computation domains that are used regardless of a source distribution (the right-hand side in the Poisson equation).

The strategy introduced in this paper provides an effective means of specifying Dirichlet boundary conditions at the exterior domain boundaries for the pressure Poisson problems. It is very efficient and robust compared with the conventional methods. The proposed idea can also be adopted in other fields dealing with infinite-domain Poisson problems.

Although graphic-based emoticons in mobile instant messenger (MIM) services became an important revenue source for their service provider, empirical research investigating factors influencing graphic-based emoticon purchase from the consumer's perspective is insufficient. The authors explore how user's achieved belongingness (acceptance or rejection) affects graphic based emoticon usage motivations and its purchase intentions.

A structural model is used to examine the relationship among individual's overall achieved belongingness, motivation factors of graphic-based emoticon usage in MIM such as perceived usefulness, perceived enjoyment, perceived enjoyment for others, social norm and emoticon purchase intentions. The authors collected and analyzed survey data of 279 Korean KakaoTalk users.

The analysis shows that perceived acceptance/inclusion positively impacts perceived usefulness, enjoyment and enjoyment of others in graphic-based emoticon usage. Meanwhile, perceived rejection/exclusion positively impacts perceived enjoyment and enjoyment of others but negatively influences perceived social norms. Moreover, social norms and perceived enjoyment directly affect graphic-based emoticon purchase intentions. The authors also find that perceived enjoyment of others and perceived social norms in a serial causal order mediate the relationship between perceived acceptance/inclusion (and rejection/exclusion) and emoticon purchase intentions.

Additional research including users from other demographic groups, such as other age groups, is required to generalize our findings and to increase external validity.

Unique implications related to the role of user's achieved belongingness and perceived enjoyment of others in graphic-based emoticon usage in purchase intentions are found.

The peer review history for this article is available at: https://publons.com/publon/ 10.1108/OIR-02-2020-0036

The purpose of this paper is to examine regional voting patterns in South Korea using the results from six presidential elections since the 1990s.

A χ² test was used to determine the municipalities where a regional voting pattern emerged, and λ correlation coefficients were calculated to examine changes in the regional voting patterns.

The analyses lead to three key findings. First, voting patterns differ in Yeongnam and Honam: regional voting in Yeongnam is getting weaker, it remains strong in Honam. Second, the tendency to vote along regional lines decreased significantly in the election in which the Honam party fielded a candidate with a Yeongnam appeared identity. Third, regional voting patterns declined but then stabilized at a constant level, regardless of the candidates’ local identity, which was confirmed in “Bu-Ul-Gyeong.”

This paper can empirically verify the manifestation of regional voting pattern and confirm the trend. It is possible to derive a condition for suppressing the regional voting pattern.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

This study segmented consumers by combining emotional and shopping characteristics to develop typologies that classify their consumption patterns and disposal behaviors.

To identify segments of fashion consumers, an online questionnaire was administered measuring emotional and shopping characteristics, including perspective taking, empathic concern, personal distress, hedonism, and frugality. An online questionnaire involving 168 US-based participants were used to accomplish the purpose of the study. A cluster analysis was conducted to identify segments of participants based on these variables. Consumption patterns and disposal behavior, including motivation to buy environmentally friendly items, consciousness for sustainable consumption, buying impulsiveness, likelihood to follow fashion trends, and tendencies to dispose of or repair damaged or unwanted items were also measured via the questionnaire as dependent variables to be predicted by identified segments.

Three clusters of consumers were identified as: Distressed and Self-Oriented, Warm and Thrifty, and Cold and Frivolous. Distressed and Self-Oriented individuals reported the highest levels of personal distress and hedonism. Warm and Thrifty individuals reported the highest levels of empathic concern, perspective taking and frugality, and the lowest levels of personal distress and hedonism. Cold and Frivolous individuals reported the lowest levels of perspective taking, empathic concern, and frugality.

The classification of consumers into segments brings a new dimension to the field of sustainable fashion. Clusters were created according to the variables of emotional characteristics (i.e. perspective taking, empathic concern, and personal distress) and shopping characteristics (i.e. hedonism and frugality). The analysis unveiled three distinct clusters that can be utilized to develop tailored strategies to successfully promote sustainable fashion consumption.

This paper is to develop a quality measure to evaluate the quality level of child care service in the regional level. By utilizing the biannual intensive child care statistical reports, ten variables are integrated and summarized as a quality measure for child care service in regional level by employing Principal Component Analysis (PCA). Conclusively, it is possible to get a comprehensive measure and the measure obtained from data between 2003 and 2008 illustrates the difference in child care service quality among regions over years. With the measure developed by this research, each region can also get very good insight into what kinds of factors of child care service should be paid more attention to in order to improve the quality of its child care service. Moreover, the measure obtained in this paper is proven reliable and robust in that it reflects the quality of child care service in each region and gives us statistically uniform quality scores with a different data set.

This study aims to profile mobile users based on their need for cognitive closure (NFC) (preference for order, preference for predictability, discomfort with ambiguity, close-mindedness and decisiveness) and identify differences among the groups regarding their perceptions of personalized preferences and privacy concerns.

Based on the data from 285 participants, the authors seek to identify and profile unique consumer segments (mobile users) generated based on their NFC. Second, once the segments are established, the authors analyze how the segments differ across their personalized preferences and privacy concerns.

The data generated three distinct consumer segments: equivocal users, structured users and eclectic users. Across the segments, there were differences in their mobile personalization (experience, value and actions) and preference for information privacy (perceived risks and fabrication of personal information).

United States (US)-based sample may restrict the generalizability of this research. Thus, future research should include participants from other geographic regions to increase external validity.

Retail managers can apply this knowledge to implement appropriate personalization strategies for these distinct target groups.

Segmenting clusters based on differences in consumption trait (NFC) provides key insights to retailers looking to deliver personalized customer experience, particularly in a mobile shopping context.