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This paper aims to examine the conditions under which small and medium enterprises (SMEs) invest in security services when they migrate their e-commerce applications to the cloud environment. Using a risk management perspective, the paper assesses the impact of security service pricing, security incident prevalence and virulence to estimate SME security spending at the market level and draw out implications for SMEs and security service providers.

Security risks are inherently characterized by uncertainty. This study uses a Monte Carlo approach to understand the role of uncertainty in the decision to adopt security services. A model relating key security constructs is assembled based on key constructs from the domain. By manipulating security service costs and security incident types, the model estimates the market-level adoption of services, security incidents and damages incurred, along with measures of their relative dispersion.

Three key findings emerge from this study. First, adoption of services and protection is higher when tiered security services are provided, indicating that SMEs prefer to choose their security services rather than accept uniformly priced products. Second, SMEs are considered price-sensitive, resulting in a maximum level of spending in the market. Third, results indicate that security incidents and damages can be much higher than the mean in some cases, and this should serve as a cautionary note to SMEs.

Security spending has been modeled at the firm level. Adopting a market-level perspective represents a novel contribution. Additionally, the Monte Carlo approach provides managers with tangible measures of uncertainty, affording additional information and insight when making security service adoption decisions.

This study aims to investigate the current and future status of overseas halal food marketing and develops strategies for improving the competitiveness of Korean seafood companies in the global halal food market.

The research uses a case study approach and a semi-structured review of previously published data. Evidence collected from literature reviews, supported by research studies, anecdotal proof, personal reflection and experience is also used. It also considers the perspectives of various stakeholder groups in the global halal food supply chain.

The global halal food market is forecasted to reach US$1.914tn in 2021. At present, Korea holds a small share of this market. To enter the emerging Islamic market, there is a need to develop strategies. This study recommends the following main strategies to improve the competitiveness of Korean seafood companies in the halal food market: reduce mistrust by improving halal authentication and certification standards; understand consumer behavior and develop marketing strategies according to the respective country’s socioeconomic and geographic status; train industry employees and develop competitive halal seafood products; exploit the rising global influence of Hanryu; establish a halal logistics/supply chain and halal industrial parks; and promote digital marketing and tourism. Moreover, the government should also subsidize halal seafood development, as well as provide export and international trade insurances.

As the Muslim population continues to grow, the importance of global halal food marketing also increases. Therefore, strategies for improving the competitiveness of Korean seafood companies in the global halal food market need to be taken into account.

Job involvement can be linked with important work outcomes. One way for organizations to increase job involvement is to use machine learning technology to predict employees’ job involvement, so that their leaders of human resource (HR) management can take proactive measures or plan succession for preservation. This paper aims to develop a reliable job involvement prediction model using machine learning technique.

This study used the data set, which is available at International Business Machines (IBM) Watson Analytics in IBM community and applied a generalized linear model (GLM) including linear regression and binomial classification. This study essentially had two primary approaches. First, this paper intends to understand the role of variables in job involvement prediction modeling better. Second, the study seeks to evaluate the predictive performance of GLM including linear regression and binomial classification.

In these results, first, employees’ job involvement with a lot of individual factors can be predicted. Second, for each model, this model showed the outstanding predictive performance.

The pre-access and modeling methodology used in this paper can be viewed as a roadmap for the reader to follow the steps taken in this study and to apply procedures to identify the causes of many other HR management problems.

This paper is the first one to attempt to come up with the best-performing model for predicting job involvement based on a limited set of features including employees’ demographics using machine learning technique.

This work aims to present a guideline for ink development used in extrusion-based direct-write (DW) (also referred to as direct-print [DP]) technique and combine the extrusion with instant photopolymerization to present a solvent-free DP photopolymerization (DPP) method to fill the gap between 3D printing and printing multi-functional 3D structures.

A DP process called DPP was developed by integration of a screw-driven micro-dispenser into XYZ translation stages. The process was equipped with direct photopolymerization to facilitate the creation of 3D structures. The required characteristics of inks used in this technique were simulated through dispersion of fumed silica particles into photocurable resins to transform them into viscoelastic inks. The characterization method of these inks and the required level of shear thinning and thixotropic properties is presented.

Shear thinning and thixotropic properties are necessary components of the inks used in DPP process and other DP techniques. These properties are desirable to facilitate printing and filament shape retention. Extrusion of viscoelastic inks out of a nozzle generates a filament capable of retaining its geometry. Likewise, instant photopolymerization of the dispensed filaments prevents deformation due to the weight of filaments or accumulated weight of layers.

The DPP process with material-reforming methods has been shown, where there remain many shortcomings in realizing a DP-based 3D printing process with instant photopolymerization in existing literature, as well as a standard guideline and material requirements. The suggested method can be extended to develop a new commercial 3D printing system and printable inks to create various functional 3D structures including sensors, actuators and electronics, where nanoparticles are involved for their functionalities. Particularly, an original contribution to the determination of a rheological property of an ink is provided.

This study aims to confirm the causal relationship between emotional brand attachment, brand love, and brand commitment, and then explain how these variables affect active engagement. In addition, it is to confirm the effect of brand prestige, brand consciousness, and brand trust on emotional brand attachment and to identify the moderating role of self-congruity in the causal relationship between these variables.

In this study, a survey was conducted targeting 320 consumers who have recently purchased luxury products or brands. In addition, structural equation model analysis (SEM) was used to test the research hypotheses raised in this study.

The results found that brand prestige and brand consciousness affect on emotional brand attachment. Emotional brand attachment had a significant effect on brand love and brand commitment. And brand love affect brand commitment and active engagement. Emotional brand attachment affects active engagement. Brand love was mediated in the relationship between emotional brand attachment and active engagement. Self-congruity was moderated in the relationship between brand prestige and emotional brand attachment. However, self-congruity was not moderated in the relation to brand consciousness, brand trust and emotional brand attachment.

This study has significance in that it identified the antecedent factors that cause consumers' emotional brand attachment and confirmed that they have differential effects depending on the degree of consumer self-congruity. In addition, this study is meaningful in that it confirmed the concept of the causal difference between attachment and brand love as consumers' emotional responses to luxury brands. However, the scope of this study was limited to offline stores excluding online purchases as a place of purchase for luxury brands. In a situation where the purchase of luxury brands is gradually increasing in various online environments, limiting the scope of the study to offline stores may have problems in generalizing the study. Therefore, in future research, we would like to propose a study on the relationship and influence between these variables by integrating all purchasing environments, such as offline and online.

The management implications of the results of this study are as follows. First, brand marketers and managers must suggest strategies to increase emotional attachment to customers who are satisfied with the brand and have a favorable brand attitude. After segmenting target customers and identifying their tendencies, behavioral characteristics, and preferred brands, emotional attachment can be strengthened by providing information about the brand to each segment and strengthening the brand image. Strategies like these can help target customers strengthen their emotional connection to a luxury brand, build positive attitudes toward the brand, and prevent them from switching to competing brands. Second, a strategy is needed to ensure that target customers have a strong emotional response to the company's luxury brand and become immersed in the brand. Target customers who have an affinity for the brand can strengthen their level of brand attachment and become immersed in the brand by allowing them to directly participate in brand activities through various advertising campaigns, events, and content. Third, you can strengthen your brand by developing a brand that fits the self-concept of your target customers. Brand marketers or managers can strengthen brand attachment by presenting a brand that fits the characteristics of each target customer and recognizing that the brand's status is relatively high compared to competing brands.

This study identified how consumers' brand engagement in a luxury brand environment is influenced by its components. In other words, the preceding factors for consumers' brand emotion were identified, and the influence of emotional brand attachment and brand love, which represent the consumer's emotional state that affects consumers' brand engagement, was investigated. The theoretical implications of the results of this study are as follows. First, Shahid et al. (2022) found that emotional attachment was expressed more strongly when emotional bonds were formed through relationship formation. Hwang and Kandampully (2012) found that emotional attachment and brand love are conceptually similar but differ in intensity. And Gómez-Suárez (2019) said that brand attachment is a prerequisite for brand love. As mentioned earlier, previous research has shown that emotional attachment and brand love differ depending on the consumer's emotional state. The results of this study showed that emotional brand attachment did not affect active participation, while brand love did. This means that active engagement is directly influenced by brand love rather than emotional attachment. Through these research results, it can be confirmed that even if consumers have similar brand emotional states, the impact on consumer behavior is different depending on the intensity of the emotional state. Therefore, in the consumer-brand relationship, the intensity of emotions arising from the interaction between the consumer and the brand is different, and only when brand emotions are at a high level, consumers engage in behavioral participation toward the brand. Second, Morris and Keltner (2000) found that consumers activate the integration of emotions in the decision-making process. Hwang and Kandampully (2012) found that love induces consumers to maintain a relationship with a brand, and that brand commitment increases when consumers feel intimacy and a strong emotional bond between themselves and the brand. Through these prior studies, it was confirmed that emotions play an important role in the consumer's decision-making process, and in particular, it was confirmed that maintaining close relationships with others induces emotional commitment to the object. In this study, brand loyalty was also found to have a positive effect on brand immersion and active participation. Therefore, consumers need to foster strong bonds with luxury brands to create brand love and strengthen their relationship with the brand, leading to brand commitment and active participation. Third, Ji et al. (2018) found that brand reputation has a positive effect on consumer attitudes and behaviors, including brand attachment, purchase intention, and brand loyalty. Casidy et al. (2015) found that consumers with high brand awareness are likely to have high brand preference and have favorable and positive brand attitudes due to their high brand knowledge. Previous research has shown that consumers' brand reputation and brand consciousness influence brand attachment.

This study dealt with a more comprehensive variable in the relationship between luxury brand factors as an antecedent variable of emotional brand attachment in luxury brand situations, and provided important evidence for the mediating effect of brand love, which was a limited emotional variable. In addition, additional implications for the moderating role of brand self-congruity on emotional brand attachment were suggested.

This paper aims to study the impact of foreign direct investment (FDI) and official development assistance (ODA) on the economic growth of developing countries. This paper classifies sample countries into two groups (low- and high-income developing countries) based on income level and investigates whether the two sources of foreign capital have different effects on the economic development of each subgroup of countries.

The authors analyze panel data on 93 countries from 1981 to 2020 using a two-stage least squares (2SLS) estimation. The 2SLS method is used to overcome the endogeneity problem between economic growth and FDI. The sources of the data are World Bank and OECD.

First, FDI inflows tend to accelerate per capita GDP growth in both total sample countries and within both groups of countries. Second, ODA has a significant impact on per capita GDP growth only for low-income developing countries. This result indicates that ODA seems to be particularly important for low-income developing countries.

This paper suggests policy implications that low-income developing countries should create an environment for more ODA funds to flow into themselves with efforts such as improving the credibility and effectiveness of the government related to ODA programs. It also provides implications for donors of ODA to focus their ODA resources on low-income developing countries to more effectively achieve the goal of helping developing countries’ economic growth.

This paper investigates whether FDI and ODA have different effects on the economic development of low- and high-income developing countries. To the best of authors’ knowledge, this point is not addressed in existing studies.

This study explores how recent Korean immigrant students experience learning social studies and how their unique social, cultural, and educational backgrounds as new immigrants shape their experiences in American schools. Based on survey and in-depth interviews with 43 Korean immigrant students in two urban and three suburban/rural areas, this mixed methods study examines Korean immigrant youths’ perceptions about the nature of history and social studies as well as their experiences of learning social studies in their everyday classroom contexts. Our data analysis demonstrates that Korean immigrant students face varying difficulties in constructing meaning in US history and engaging themselves in social studies learning, which results in a negative learning experience and subsequent disinterest in social studies. Researchers identified three major challenges that Korean immigrant youths experience in their social studies classrooms: (1) Lack of English proficiency, background knowledge, and American patriotism, (2) White, American-centered perspectives and marginalization of their country of origin, and (3) Teachers’ lack of care and disengaging pedagogies. The findings of this study provide implications for creating more meaningful and culturally relevant social studies learning for immigrant students.

The purpose of this paper is to present an optimization method for flux barrier designs in interior permanent magnet (IPM) synchronous motors that aims to produce an advantageous sinusoidal flux density distribution in the air-gap.

The optimization is based on the phase field method using an Allen-Cahn equation. This approach is a numerical technique for tracking diffuse interfaces like the level set method based on the Hamilton-Jacobi equation.

The optimization results of IPM motor designs are highly dependent on the initial flux barrier shapes. The authors solve the optimization problem using two different initial shapes, and the optimized models show considerable reductions in torque pulsation and the higher harmonics of back-electromotive force.

This paper presents the optimization method based on the phase field for the design of rotor flux barriers, and proposes a novel interpolation scheme of the magnetic reluctivity.

The paper's aim is to explore a method using light absorption for improving manufacturing of complex, three‐dimensional (3D) micro‐parts with a previously developed dynamic mask projection microstereolithography (MSL) system. A common issue with stereolithography systems and especially important in MSL is uncontrolled penetration of the ultraviolet light source into the photocrosslinkable resin when fabricating down‐facing surfaces. To accurately fabricate complex 3D parts with down‐facing surfaces, a chemical light absorber, Tinuvin 327™ was mixed in different concentrations into an acrylate‐based photocurable resin, and the solutions were tested for cure depths and successful micro‐part fabrication.

Tinuvin 327 was selected as the light absorber based on its high absorption characteristics (∼0.4) at 365 nm (the filtered light wavelength used in the MSL system). Four concentrations of Tinuvin 327 in resin were used (0.00, 0.05, 0.10, and 0.15 percent (w/w)), and cure depth experiments were performed. To investigate the effects of different concentrations of Tinuvin 327 on complex 3D microstructure fabrication, several microstructures with overhanging features such as a fan and spring were fabricated.

Results showed that higher concentrations of Tinuvin 327 reduced penetration depths and thus cure depths. For the resin with 0.15 percent (w/w) of the Tinuvin 327, a cure depth of ∼30 μm was achieved as compared to ∼200 μm without the light absorber. The four resin solutions were used to fabricate complex 3D microstructures, and different concentrations of Tinuvin 327 at a given irradiance and exposure energy were required for successful fabrication depending on the geometry of the micro‐part (concentrations of 0.05 and 0.1 percent (w/w) provided the most accurate builds for the fan and spring, respectively).

Although two different concentrations of light absorber in solution were required to demonstrate successful fabrication for two different micro‐part geometries (a fan and spring), the experiments were performed using a single irradiance and exposure energy. A single solution with the light absorber could have possibly been used to fabricate these micro‐parts by varying irradiance and/or exposure energy, although the effects of varying these parameters on geometric accuracy, mechanical strength, overall manufacturing time, and other variables were not explored.

This work systematically investigated 3D microstructure fabrication using different concentrations of a light absorber in solution, and demonstrated that different light absorption characteristics were required for different down‐facing micro‐features.

To operate a multiple material stereolithography (MMSL) system, a material build schedule is required. The purpose of this paper is to describe a scheduling and process‐planning software system developed for MMSL and designed to minimize the number of material changeovers by using low‐viscosity resins that do not require sweeping.

This paper employs the concept of using low‐viscosity resins that do not require sweeping to minimize the number of material changeovers required in MMSL fabrication. A scheduling and process‐planning software system specific to MMSL is introduced that implements four simple rules. Two rules are used to select the material to be built in the current layer, and two rules are used to determine at which layer a material changeover is required. The schedule for the material to be built depends on the material properties stored in a user‐defined materials library. The developed algorithm produces sliced loop data for each material using the predetermined layer thickness from an input CAD model, and the four rules are applied at each layer. The algorithm then determines the build order for each material, the material‐specific number of layers to be built, and whether or not sweeping is required. Output data from the program are the scheduling and process‐planning report and the partitioned computer‐aided design models to be built before changing a material according to the process planning. Two examples of the algorithm applied to multiple material parts are provided.

The MMSL scheduling and process‐planning software system is developed using Microsoft Visual C++7.0. For verification, a simple demonstration is conducted on a two material part where the process plan could be easily determined through intuition. A more complex multiple material part is also tested that consisted of four subparts. Several cases of resin assignment are tested showing that the ultimate scheduling and process planning vary significantly depending on the material combinations and specifications. These examples demonstrate that the strategy, method, and software developed in this paper can be successfully applied to prepare for MMSL fabrication.

Although the software system is demonstrated on two multiple material parts, more extensive work will be performed in the future on fabricating multiple material parts using the MMSL machine. It is expected that additional rules will be developed as additional limitations of MMSL are identified. It is also anticipated that particular emphasis will be placed on building without sweeping as well as development of advanced non‐contact recoating processes.

As designs incorporating multiple materials increase in the future and additive manufacturing (AM) technologies advance in both building out of multiple materials and fabricating production parts, the scheduling and process‐planning concepts presented here can be applied to virtually any AM technology.