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The authors compare the post-issue stock and operating performance of rights issue versus public offer firms using Korean data. The authors find that the stock returns of rights issue firms are less negative than those of public offering firms during the three years subsequent to the seasoned equity offering. The authors further find that the profitability of rights offering firms is superior to those of public offering firms and that the ratio of sales to assets for rights issue firms is much higher over the post-issue period. The results substantiate Heinkel and Schwartz’s (1986) and Eckbo and Masulis’ (1992) theoretical models that posit firms with better quality tend to select the rights issue rather than public offer method when issuing seasoned equity.

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.

In mobile platforms, an increasing number of third-party developers (developers) create new ideas and enhance their expertise through knowledge sharing on the developers’ community. Notwithstanding the importance of the sharing and its uniqueness on the mobile platform contexts, the motivational factors of sharing their knowledge on the community have been underinvestigated. Therefore, this paper aims to provide a comprehensive framework to enhance the knowledge sharing in the mobile platform context.

Based on the theory of reasoned action, this paper incorporated intrinsic and internalized extrinsic motivations with two unique features of platform environments: platform open policies and coopetitive relationships. To test, an online survey was distributed to four developer communities in Korea, two Android and two iOS communities.

The results show that a platform pursuing higher openness causes the developers to find higher social pressure for information sharing. The coopetitive relationship with other developers in the same platform takes dissimilar roles; reciprocity significantly increases subjective norm, while rivalry does attitude. Self-efficacy and self-development stimulate knowledge sharing. Furthermore, multilevel analysis to capture the difference between two leading mobile platforms indicates no path difference but, interestingly, shows significant mean difference between the two platforms regarding perceived openness and rivalry.

With this paper, the authors fulfill the need to understand the knowledge-sharing intention of developers in the context of mobile platforms where developers can be potential competitors or cooperators and where two platforms offer different policies and developmental environments.

Many off-line retailers have experienced a slump in sales and have the potential risk of overstock or understock. To overcome these problems, retailers have applied data mining techniques, such as association rule mining or sequential association rule mining, to increase sales and predict product demand. However, because these techniques cannot generate shopper-centric rules, many off-line shoppers are often inconvenienced after writing their shopping lists carefully and comprehensively. Therefore, the purpose of this paper is to propose a personalized recommendation methodology for off-line grocery shoppers.

This paper employs a Markov chain model to generate recommendations for the shopper’s next shopping basket. The proposed methodology is based on the knowledge of both purchased products and purchase sequences. This paper compares the proposed methodology with a traditional collaborative filtering (CF)-based system, a bestseller-based system and a Markov-chain-based system as benchmark systems.

The proposed methodology achieves improvements of 15.87, 14.06 and 37.74 percent with respect to the CF-, Markov chain-, and best-seller-based benchmark systems, respectively, meaning that not only the purchased products but also the purchase sequences are important elements in the personalization of grocery recommendations.

Most of the previous studies on this topic have proposed on-line recommendation methodologies. However, because off-line stores collect transaction data from point-of-sale devices, this research proposes a methodology based on purchased products and purchase patterns for off-line grocery recommendations. In practice, this study implies that both purchased products and purchase sequences are viable elements in off-line grocery recommendations.

The purpose of this study is to examine the influences of creativity, psychological ownership (PO) and perceived organizational support (POS) on knowledge creation, using the integrative systems model of creativity.

A survey was used to collect data from 188 workers in Korean public service organizations. Analyses, including bootstrapping and hierarchical regression analysis, were performed to determine the mediating effect of PO and also the moderating and the moderated mediating effects of POS.

The results showed that PO mediates partially between creativity and knowledge creation and that POS moderates the relationship between PO and knowledge creation. Notably, the moderated mediating effect of POS was only significant when employees had a high level of POS.

The findings suggest that creativity dissemination requires employees’ social consciousness, collaborative interactions and organizational support. The results imply that human resource development (HRD) practitioners need to cultivate the creativity capacity in the organization.

This study discusses the effects of PO and POS on creative performance, which HRD professionals and organizational leaders draw attention to for organizational development. Implications for organizational composition and interventions to enhance creative performance are provided.

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.

In this paper, a three-dimensional (3D) printer-based manufacturing line and supporting system, which supports personalized/customized manufacturing for individual businesses or start-up companies, was studied to evaluate the practicality of using additive manufacturing for personalization/mass customization.

First, factory-as-a-service (FaaS) system, which provides factory as a service to customers, was proposed and designed to manufacture various products within a distributed manufacturing environment. This system includes 3D printer-based material extrusion processes, vapor machine/computer numerical control machines as post-processes and assembly and inspection processes with an automated material handling robot in the factory. Second, a virtualization module for the FaaS factory was developed using a simulation model interfaced with a cloud-based order and production-planning system and an internet-of-things-based control and monitoring system. This is part of the system for manufacturing operations, which is capable of dynamic scheduling in a distributed manufacturing environment. In addition, simulation-based virtual production was conducted to verify and evaluate the FaaS factory for the target production scenario. Main information of the simulation also has been identified and included in the virtualization module. Finally, the established system was applied in a sample production scenario to evaluate its practicality and efficiency.

Additive manufacturing is a reliable, feasible and applicable technology, and it can be a core element in smart manufacturing and the realization of personalization/mass customization.

Various studies on additive manufacturing have been conducted with regard to replacing the existing manufacturing methods or integrating with them, but these studies mostly focused on materials or types of additive manufacturing, with few advanced or applied studies on the establishment of a new manufacturing environment for personalization/mass customization.

The extant literature documents the significance of nostalgia-evoking stimuli in promoting consumer behavior. Despite the prevalent use of nostalgia-evoking stimuli in restaurant service, research on nostalgia-evoking restaurants is significantly lacking. As a result, little is known about customers’ cognitive responses toward nostalgia-themed restaurant stimuli and their influences on customer loyalty behavior. Thus, grounded in an extended stimulus-organism-response model, this study aims to examine the role of nostalgia-evoking restaurant stimuli in explaining an integrated model focusing on nostalgia, in relation to local food consumption value, familiarity with nostalgia-triggering restaurants and loyalty and continued patronage.

The authors collected data from 544 Taiwanese customers at nostalgia-themed restaurants. Using PROCESS (Model 6), the direct and indirect effect of nostalgia-evoking restaurant stimuli on loyalty and continued patronage were examined.

The confirmatory factor analysis results showed that five domains of restaurant attributes (i.e., service staff, exterior and interior design, furniture and tableware, local food and atmosphere) are nostalgia-evoking stimuli. The authors also found that these nostalgia-evoking stimuli significantly affected customer loyalty indirectly, through customers’ consumption value and familiarity.

The results of this study help identify the importance of nostalgia-generating cues in nostalgia-themed restaurants and their roles in postpurchase behaviors. The outcomes contribute to an improved understanding of how to exploit nostalgic sentiments in nurturing diners’ consumption value, maintaining customer loyalty and generating greater profits.

To the best of the authors’ knowledge, this is one of the few studies examining restaurant attributes evoking nostalgia and explaining the mechanism by which nostalgia-evoking stimuli affect consumer behavior.