본 연구는 남성화장품의 인식과 구매행동 및 만족도, 신뢰도에 관한 연구이며 광주 지역 20∼30대 남성을 대상으로 2020년 7월 20일부터 2020년 8월 30일까지 총 40일간 진행하였다. 첫째, 남성화장품 인식을 알아보고 조사대상자들의 일반적 특성에 따른 남성화장품 사용유무를 분석한 결과 통계적으로 유의미한 차이가 나타났다(p<.05). 둘째, 남성화장품 구매행동에 대해 분석한 결과 최종학력, 결혼여부에 따라 통계적으로 유의미한 차이가 나타났다(p<.05). 셋째, 남성화장품 신뢰도에 차이가 있는지를 분석한 결과 연령, 직업, 결혼여부, 월평균 소득에 따라 통계적으로 유의미한 차이가 나타났다(p<.05). 넷째, 남성화장품 만족도에 차이가 있는지를 분석한 결과 연령, 직업, 결혼여부, 월 평균 소득에 따라 통계적으로 유의미한 차이가 나타났다(p<.05). 이상의 연구결과를 미루어 보면 남성화장품을 사용한 남성들은 피부개선에 도움을 주는 것으로 나타났으며 본인의 피부에 적합하다고 생각되어 구매로 이어지는 것을 얼 수 있었다. 추후 연구에 대상의 다각화와 다양하고 높은 요인들을 활용한 구체적이고 체계적인 연구가 필요할 것을 시사하며, 남성화장품의 산업과 기업의 마케팅에 기초자료로 활용되기를 기대한다.

This research was conducted in order to examine the effects of user socio-demographics and recently introduced streamlined technology readiness index TRI 2.0 (Parasuraman & Colby, 2015) on mobile device use in B2B digital services. Mobile adoption has been studied from a consumer perspective, but to the best of the authors’ knowledge, very few studies explore mobile use in B2B markets. Mobile marketing is becoming a strategic effort in companies, as digital services not only in B2C but also in B2B sector are getting increasingly mobile (Leeflang, Verhoef, Dahlström & Freundt 2014). This raises an interest to better understand the characteristics of those mobile enthusiasts who primarily use B2B services via a mobile device rather than via a personal computer. The study tests hypotheses with a large data set of 2,306 business customers of which around 10 percent represent these innovative mobile enthusiasts. Technology readiness is an individual’s propensity to embrace and use new technologies for accomplishing goals in home life and at work (Parasuraman & Colby, 2015; Parasuraman, 2000). Parasuraman and Colby (2015) recently introduced an updated version of the original Technology Readiness Index (TRI 1.0) scale called TRI 2.0 to better match with the recent changes in the technology environment. At the same time they streamlined the scale to a compact 16-item version so that it is easier for researchers to adopt it as a part of research questionnaires. Likewise the original scale, TRI 2.0 consists of four dimensions: optimism, innovativeness, discomfort, and insecurity. Optimism and innovativeness are motivators of technology adoption while discomfort and insecurity are inhibitors of technology readiness, and these motivator and inhibitor feelings can exist simultaneously (Parasuraman & Colby, 2015). Optimism is a general positive view of technology containing a belief that technology offers individuals with increased control, flexibility and efficiency in their lives. Innovativeness refers to a tendency to be a pioneer and thought leader in adopting new technologies. Discomfort reflects a perception of being overwhelmed by technology and lacking control over it. Moreover, insecurity reflects distrust and general skepticism towards technology, and includes concerns about the potential harmful consequences of it. As individuals differ in their propensity to adopt new technologies (Rogers, 1995), the authors propose that technology readiness influences mobile device use of B2B customers: H1: Optimism has a positive effect on mobile device use of B2B digital services. H2: Innovativeness has a positive effect on mobile device use of B2B digital services. H3: Insecurity has a negative effect on mobile device use of B2B digital services. H4: Discomfort has a negative effect on mobile device use of B2B digital services. The earlier literature argues that socio-demographic factors such as gender (Venkatesh & Morris, 2000; Chong, Chan & Ooi, 2012), age (Venkatesh, Thong & Xu, 2012; Chong et al., 2012; Kongaut & Bohlin 2016), education (Agarwal & Prasad, 1999; Chong et al., 2012; Puspitasari & Ishii 2016) and occupation (Okazaki, 2006) influence technology adoption behavior in general, and mobile adoption in particular. For example, men are nearly twice as likely as women to adopt mobile banking, and age is a negative determinant (Laukkanen, 2016). Higher educated use mobile devices more for utilitarian purposes, while lower educated use mobile devices more for entertainment (Chong et al., 2012). Moreover, research suggests that occupational factors influence mobile use (Okazaki, 2006). The authors hypothesize: H5: Males are more likely than females to use mobile device for B2B digital services. H6: Age has a negative effect on the use mobile device for B2B digital services. H7: Customers with higher education level have a higher likelihood for using mobile device for B2B digital services than customers with lower education level. H8: Occupation has an effect on the use mobile device for B2B digital services. The study tests hypotheses with a data collected among B2B customers of four large Finnish companies, all representing different industry fields. The large sample (n=2306) consists of procurement decision-makers all experienced with using B2B digital services. The sample shows that over 90 percent of the B2B customers are still using a computer (laptop or desktop computer) as their primary access device for digital services in their work. The sample divides between females and males in proportion to 46 and 54 percent respectively. University degree represents a majority with 42 percent, while only 2,7 percent of the respondents have a comprehensive or elementary school education. Over half of the sample represent top management or middle management with 24,6 and 28,4 percent respectively, while 9 percent are entrepreneurs, 21,2 percent represent experts, and 16,7 percent are officials or employess. Mean age of the respondents is 51,6 years, ranging from 18 to 81 years. The study uses logistic regression analysis with backward stepwise method in which the dependent variable is a dichotomous binary variable indicating the respondent’s primary access device for B2B digital services with 0=computer and 1=mobile device. As for the independent variables, the study measures individual’s technology propensity with recently introduced 16-item TRI 2.0 scale from Parasuraman and Colby (2015) using a five-point Likert scale ranging from Strongly disagree=1 to Strongly agree=5. The authors used confirmatory factor analysis to verify the theory-driven factor structure of the TRI 2.0 scale, i.e. optimism, innovativeness, discomfort, and insecurity. The analysis show that the measurement model for the TRI 2.0 scale provides an adequate fit and standardized regression estimates for all measure items exceed 0.60 (p<0.001) except for one item in discomfort (β=0.516) and one item in insecurity (β=0.480). After removing these two items the model shows an excellent fit with χ2=478.033 (df=71; p<0.001), CFI=0.965, RMSEA=0.050. Moreover, discriminant validity is supported, as the square root of the average variance extracted (AVE) value of each construct is greater than the correlations between the constructs (Fornell & Larcker, 1981). In addition, composite reliability values vary from 0.726 to 0.852 supporting convergent validity of the TRI 2.0 factors (Table 1). Thereafter, the factor scores of the latent factors showing sufficient internal consistency were imputed to create composite measures. These composite measures were used as independent variables in the logistic regression model. With regards to socio-demographic variables, age is measured as a continuous variable, while gender, education, and occupation are categorical independent variables in the model. The results of the logistic regression analysis show that innovativeness, insecurity, age, and occupation are statistically significant predictors of mobile device use in B2B services, supporting hypotheses H2, H3, H6, H8. The stepwise analysis procedure removed optimism (p=0.860), education (p=0.789), gender (p=0.339), and discomfort (p=0.159) from the model as they proved to be non-significant predictors of mobile device use. The results indicate that occupation is the strongest predictor for mobile device use in B2B digital services so that the top management has the greatest likelihood as the odds ratios of middle management, experts, and officials/employees are 0.610, 0.282, and 0.178 respectively. This means that, for example, the odds of the top management using mobile device as their primary channel for B2B digital services are 1.64 (1/0.610) times greater than the odds of the middle management, and 5.62 (1/0.178) times greater than the odds of the officials/employees. Interestingly the β-value for the entrepreneurs is positive indicating that their likelihood for mobile device use is even greater than the likelihood of the top management. However, the p-value (0.913) indicates that the difference is not statistically significant. With regards to age of the B2B customer, the results indicate a negative relationship with mobile device use. The odds ratio [Exp(β)=0.979] claims that the odds of a B2B customer to use mobile device as the primary channel for digital services decrease by 2 percent for each additional year of age. Regarding the TRI 2.0 constructs, the results show that innovativeness is a highly significant positive predictor for mobile device use, while perceived insecurity has a negative effect (Table 2). Literature suggests that B2B customers increasingly use mobile devices but yet little is known about those individuals most enthusiastic in using B2B digital services via a mobile device. Thus, the current study attempts to better understand those mobile enthusiasts who among the first have adopted mobile devices as their primary method to access B2B digital services. The results suggest that occupation is the most significant predictor of mobile use among B2B customers, implying that top managers are among the most likely to adopt and use mobile device for business services. Moreover, younger B2B customers use mobile devices more eagerly as the results suggest the likelihood for mobile device use degreases by 2 percent with every added year of age. The results further imply that out of the four TRI 2.0 dimensions innovativeness and insecurity influence in the mobile device use of B2B customers, innovativeness positively and insecurity negatively as the theory proposes. Innovativeness represents individual’s tendency to be a pioneer and thought leader in terms of technology adoption, while insecurity stems from the general skepticism and distrust of technology. These results imply that B2B customers who mainly access B2B digital services via a mobile device are open minded towards the possibilities new technologies can provide for them. Moreover, it appears that those B2B customers still accessing digital services primarily via a computer are more skeptical than mobile users towards technology in general. Compared to the use of mobile devices for individual purposes, business related use is more functional in nature, and thus, mobile devices and technologies must be convenient to use, offer real benefits for example in forms of mobility and portability, and be reliable in order for B2B customers to use them. Interestingly, our results do not support the effects of generally positive attitudes towards technology reflecting optimism, or discomfort of using technologies to influence mobile use among B2B customers. In addition, there are organizational factors (e.g. voluntariness of use) that the authors omit in the current study. These may limit the findings. Mobility will be a key driver in the ongoing digital revolution of marketing and sales. Understanding online behavior of mobile enthusiasts assists B2B marketing and sales leaders to plan and implement more effective mobile marketing strategies. Rogers (1995) has shown that the majority will follow the early adopters, and the adaptation cycle has even shortened during the last years (Downes & Nunes, 2014). Thus, mobile devices are evidently becoming the primary method in accessing B2B digital services.

This study compares the male and female attitudes towards sexual imagery in press advertising and identifies the demographic and psychographic factors influencing their attitudes. Although this topic has received previous attention in literature, genders’ attitudes have not been exclusively compared and particularly not with a view to the factors influencing these attitudes. We employed qualitative methodology to gain a greater understanding of the participants’ views. The findings revealed the significance of gender and age on shaping consumers’ attitude. The contrast between male and female attitudes was undeniable, however overall interviewees implied their growing indifference to the genre.

This study examines the determinants of the member customer’s decision of redeeming versus accumulating loyalty program (LP) points by focusing on the effects of the different channels of transaction (online versus offline) and the demographic information of member customers. Our study is based on customer-level demographic and transaction data on a major partnership LP in Korea, the OK Cashbag (OCB) program. This study differs from the existing literature in three aspects. First, the dataset employed for this study enables us to compare member customers’ point redemption behavior between online and offline channels, whereas previous studies demonstrate coupon redemption behavior either in an online (Chiou-Wei and Inman 2008) or an offline setting (e.g., Cronovich 1997; Kwon and Kwon 2007; Mittal 1994; Reibstein and Traver 1982; Ward and Davis 1978). Second, the current study investigates not only the main effects of demographic variables, but also a series of interaction effects between the online channel and each demographic variable. Clear empirical evidence of an interaction effect would provide an LP provider with significant managerial implications. Third, rich data on customers’ transaction behavior with matching demographic information for each member customer enable us to conduct both transaction-level and individual customer-level analyses. Therefore, an individual customer’s transaction behavior can be analyzed in more detail for robust results and richer implications. We find that transactions that occur through online channels and those made by younger customers demonstrate a greater tendency of redeeming LP points as opposed to accumulating them. We also find that online channels exhibit a moderating role by mitigating the demographic effects on member customers’ point redemption behavior. These findings allow the LP provider to predict the future LP point balance by analyzing its main channel of transaction and the demographic profiles of its member customers.

This study is to explain and identify the impacts of cognitive components of rice on consumers' attitudes and purchase intention. A survey study was conducted to collect the data with the actual rice purchasers at some kind of retailing stores. A regression analysis was performed to test the research hypothesis. The results of the study show as follows: First, it was found that words and pictures information about rice influences on consumers' attitudes and purchase intention, and price information had effect to consumers' attitudes but not affect to purchase intention. Second, it shows differential effects in how components of words, pictures and price information influences consumers' attitudes and purchase by types of consumer's characteristics factors such as occupation, age and residential area, except for price had effects to purchase intention. Therefore, marketers of distribution stores that selling rice have to enhance brand awareness of product by communicating types of information in a manner tailored to customer's demographic characteristic factors.

Financial literacy is one of the sustainable development goals of huge concern of governments. Governments explore solutions addressing policies to improve financial literacy. Nevertheless, financial management has such a broad scope and is not just limited to knowledge. As human nature, individuals are born with different confidence levels that include various financial abilities. This study aims to investigate the household-financial efficacy through the application of psychometric instruments, risk preference, and demographic characteristics toward consumption decision behavior. The research is based on a survey 479 households in the peninsular Malaysia, and utilizes the structural equation model, cluster proportional and systematic random sampling, and two measurements – composite reliability and average variance extracted. Results show that households’ financial efficacy is one of the critical factors that explain the households’ consumption decision behavior. Also, risk preference, gender and area location (rural or urban) of the household determined the consumption decision behavior of the household. The effectiveness of consumption decision is not only determined by financial literacy, but also financial efficacy. The implications of this paper may help to design policies in narrowing the broad gap between the rural and urban level of financial efficacy. The government needs to take appropriate actions to fix it.

Purpose – In this study, we consider and examine relationships between reasons for business switch or liquidation (BSL), and the demographics of small and medium enterprises (SMEs) in South Korea. The related five variables are occupations, administrative districts, age of employer, firm age and foundation motivation. In addition, eleven levels in association with reasons for BSL visualize the corresponding demographics by measuring their similarity on the dimensional planes assuming that the association exists between variables under consideration. Research design, data, and methodology - This study is done by the Ministry of SMEs and Startups in 2016 and examines 20,307 small and medium enterprises. For examining the distinct relationships among variables under consideration, both chi-squared test and correspondence analysis as main statistical tools are used. Results - The results show that among levels of reasons for BSL the three levels –weakening profitability, poor sales and economic depression- are main ones for the five demographics variables mentioned above, and we can obtain the detailed associations between attributes of corresponding variables by inspecting the two dimensional plane. Conclusions - This study suggests reasons for BSL are closely associated with the five different demographics variables – Administrative districts, Firm age, Occupations, Age of employer and Foundation motivation-by looking over results.

One of the largest and fastest growing segments of the tourism industry, sport tourism refers to travel to play sports, watch sports, or to visit a sport attraction including both competitive and non-competitive activities. In this respect, cycling can be considered as not only a form of physical exercise but also a form of tourism in which cycling is a usual tourism-related activity, heading to a particular destination. The purpose of this study is to examine how demographical differences of cycle tourists are related to the quality of their life. An online survey was conducted and data was analyzed using frequency, reliability, and one - way ANOVA using SPSS 22.0. First, we found that there was no significant difference on the quality of physical life based on demographical characteristics. Second, the analysis of the relationship between demographical characteristics and the quality of mental life showed that income level affects their quality of mental life. Third, the analysis of the relationship between socio demographic characteristics and the quality of social life showed that marital status affects the quality of social life. Fourth, no statistically significant difference was found between the demographical characteristics and the quality of environmental life. Further implications were discussed.

우리나라에서는 매년 호우, 태풍, 대설 등 자연재해로 인하여 많은 피해가 발생하고 있다. 자연재해로 인한 피해액과 그에 따른 복구액 역시 점점 증가하고 있는 추세를 보이고 있다. 특히 2011년 서울시 우면산 산사태, 2014년 부산･경남 지방에서의 폭우로 인하여 재산 및 인명피해가 발생하였다. 우리나라의 경우 도시지역에 인구가 집중되는 형태를 띄고 있으며, 이로 인해 도시지역에 재해가 발생하게 되면 치명적인 인명 및 재산피해를 입게 된다. 따라서 도시지역에서는 자연재해에 대한 대응책 마련이 반드시 필요하다. 이를 위해서는 자연재해로 인한 피해를 정략적으로 평가할 수 있어야 한다. 본 연구에서는 자연재해에 대한 인구 통계적 피해를 정량화하기 위하여 인구 통계적 취약성을 평가할 수 있는 지표기반 모형을 서울시에 적용하였다. 해당 모형은 1)연령분포, 2)인구밀도, 3)산업별 종사자 수, 4)외국인 비율, 5)교육수준으로 총 5개의 대리변수로 구성되어 있다. 이를 이용하여 서울시의 25개 자치구와 16,230개의 집계구에 적용하여 인구 통계적 취약성을 살펴보았다. 본 연구를 통해 산정된 취약성 평가 결과는 자연재해에 대한 인명피해를 감소시키기 위한 방재사업을 추진할 때 효과적인 예산분배를 위한 기초자료로 사용될 수 있을 것으로 판단된다.