Mid-sized manufacturing companies, which account for 0.7%(5,480 companies), 13.8%(1.169 million persons) of total employment, and 15.7% of total sales, have recently experienced a lot of difficulties in management activities due to the impact of COVID-19, the U.S.-China trade war, and the collapse of global supply chains. To overcome this, revitalization of quality management activities to strengthen corporate competitiveness is emerging as an urgent task. In order for these quality management activities to achieve their intended purpose, the positive leadership of corporate managers is very important above all else. There have been many studies related to positive leadership, but most have focused on charismatic leadership and transformational leadership centered on large companies or small and medium-sized enterprises. Therefore, this study aims to present ways to strengthen the leadership of managers by empirically analyzing how the positive leadership of managers of mid-sized manufacturing companies, which was relatively under-researched, affects quality management activities and Business performance(Balanced Score Card; BSC).

The luxury fashion industry is facing increasing scrutiny due to its negative environmental impact and unsustainable production methods. However, new business models in the form of second-hand commerce and renting are emerging as attractive options for consumers, reshaping the luxury fashion landscape. This paper examines the current state of second-hand luxury fashion and explores the business models adopted by companies in this sector. A review of existing literature reveals key themes pertaining to second-hand luxury, including consumer motivations and attitudes towards recycled luxury fashion, the evolving meanings and consumer identities associated with second-hand luxury, the impact on the traditional luxury fashion industry, the environmental benefits of recycled luxury fashion, and the business models and sustainability strategies of companies operating in this sector.

본 연구는 치유농업 산업의 분류체계 구축을 통해 치유농업 산업의 범위에 근거한 현황을 분석하여 향후 치유농업 정책수립에 활용하고자 수행하였다. 분류체계는 한국표준산업분류체계를 기반으로 하였으며, 치유농업 산업의 개념과 특징을 반영하여 특수분류체계를 구성하였다. 이러한 분류체계를 통해 치유농장을 대상으로 운영 및 경영 현황을 조사함으로써 국내 치유농업의 산업적 구성과 비중을 분석하였다. 국내 치유농장의 사업 비중은 전체 매출액 중 치유농업 산업이 47.8%, 투입재 산업 40.4%, 파생 산업은 11.9%를 차지하였다. 소분류기준 매출액이 가장 많은 분야는 공동체 서비스 교육, 정신적 재활치료, 치유농업 농산물 재배업 순이었다. 치유농장의 81.1%가 치유농업 운영을 위해 시설을 건설하였는데 그 종류로는 조경 및 공원, 녹지 조성이 77.9%로 가장 많았다. 한편 매출액이나 종사자 규모로 살펴본 결과, 국내 치유농장은 매우 영세하게 운영되는 것으로 나타났다. 본 조사 결과, 현재까지 치유농업 산업이 정부 주도의 사업으로써 도입되고 있는 수준이라는 점에서 산업 현황자료로서 한계점을 가지고 있다고 본다. 그러나 향후 치유농업의 효율적인 사업경영을 위한 정책 마련의 기초자료로서 유용하게 활용될 수 있으리라 여겨지며, 한편 치유농업법에 따른 정기적 실태조사 추진의 방법적 기반을 마련했다고 평가된다.

This paper presents the results of qualitative research based on semi-structured interviews with CEO and Marketing managers among Swiss luxury watchmaking companies. We present the highlights on innovative business models and how it could create competitive advantage creation in the highly competitive Swiss luxury watchmaking industry.

The major paradox in research in marketing: Can the researcher construct models that capture firm heterogeneities and achieve accurate prediction of outcomes for individual cases that also are generalizable across all the cases in the sample? This study presents a way forward for solving the major paradox. The study identifies research advances in theory and analytics that contribute successfully to the primary need to fill to achieve scientific legitimacy: Configurations that include accurate description, explanation, and prediction (i.e., predicting outcomes accurately of cases in samples separate from the samples of cases used to construct models having high fit validity.) The solution here includes philosophical, theoretical, and operational shifts away from variable-based modeling and null hypothesis statistical testing (NHST) to case-based modeling and somewhat precise outcome testing (SPOT). The study here provides examples of research contributing to knowledge and theory that advance prediction and control in business-to-business contexts. Shifting beyond linear model construction and symmetric tests (i.e., multiple regression analysis (MRA) and structural equation modeling (SEM)) and embracing complexity theory and asymmetric tests (i.e., constructing and testing algorithms by “computing with words,” Zadeh, (1996, 2010)) includes taking necessary steps away from examining “net effects” of variables to useful screening modeling of case configurations. Researchers embracing this shift in marketing benefit from recognizing that the current dominant logic of performing null hypothesis testing (NHST via MRA and SEM) is “corrupt research” (Hubbard, 2015) and from recognizing that predicting by algorithms via somewhat precise outcome testing (SPOT) advances business-to-business research toward achieving scientific legitimacy.

As the competitiveness of small and medium businesses is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government’s support is generally focused on non-financial factors, such as customer satisfaction afterwards and analysis of improvement effect. This paper is in regards to the analysis of how much the government’s support in the form of providing consulting services contributes to financial outcomes and to the analysis of the gap of performances among the types of consulting services. We verified the statistical significance of our hypothesis through SAS9.4 and SPSS 22, conducting comparative analysis of the business growth and profitability based on the yearly balance sheets and income statements of 44 corporations which government supports and 150 corporations which are for comparison. The data is gained from CRETOP, Korea Enterprise Data, and the testing model is chosen as the business of support center for corporate growth, which is a customized supporting business of the Ministry of Trade, Industry, and Energy. As a result, in terms of business growth, it turned out to have positive difference in growth ratio compared to the industrial average and compared corporations and to have significant difference in terms of profitability as well. Since, this paper shows that the different supporting ways have significant difference, we would say that this paper is meaningful in that it may propose a guidance for government to set strategies of government-supporting businesses.

Cultural industry has grown into a pivotal part of the knowledge economy and it characteristically allows high employment of young population with high education and at the same time is a labor-intensive industry that yields high added values. For these reasons, it has been regarded as an industry that can be an answer to ever worsening problems of youth unemployment and deteriorating employment quality in the service industry sector. The Korean government has established and enacted government-level supporting policies to foster the cultural industry, especially in the 2000s. In the process, a supporting system for start-up businesses in the cultural industry was implemented to foster one-person culture businesses, focusing on the supporting system for start-up businesses established by the Small and Medium Business Administration (SMBA). This study will look into possible solutions to some problems that occurred in the course of implementing supporting policies for cultural industry and will see if there could be alternatives to them.

With the rapid development of science and technology, big data has been applied in many fields and has brought commercial revolution[1]. The scientific community generally regards big data as "massive data + complex types of data". Commercial applications are more concerned about big data as an analytical (prediction) method and focus on the potential commercialization of analysis results. All walks of life will produce large amounts of data every day. The transition of data-scale brings huge commercial value, which will certainly bring the innovation of business model[2]. Particularly in the internet and other emerging industries, because they get data more convenient and fast. Like Amason, Facebook, Google etc, they use analysis of big data to innovate their business model for maximizing their profits[3], actually business model refers to "an enterprise’s profitable operation mode plus ways to make money"[4]. So the effectiveness of business model innovation of big data on emerging industries has been remarkable. But the impact of big data on traditional industries is still in the exploratory stage. Traditional industry mainly refers to the labor intensive, manufacturing oriented industries, including the traditional commerce and service industry[5]. Learning from the experience of big data on business model innovation of emerging industries, traditional industries can use big data to subvert the business model and accelerate the transformation and upgrading.

The purpose of this study is to assess whether the emotional leadership of the CEO of a fashion company has a significant influence on corporate performance. In this study, a survey was conducten on employees of fashion companies from August 1 to 30, 2015, and 350 copies of questionnaires were collected and used for analysis. Factor analysis, reliability analysis, and regression analysis were employed to analyze the data using SPSS software (ver. 21.0). According to the study results, if a fashion company CEO has higher emotional leadership, it leads to an increase in the job satisfaction and performance of the staff members, and an improvement in new product performance thanks to more investment and development and an expanded R&D staff. Additionally, the higher emotional leadership of the CEO contributes to an increase in operating profits, sales, and market share. Therefore, the importance of organizational culture was confirmed by its regulation effect on the emotional leadership and management performance of a fashion company. According to the results of this study, the emotional leadership of a CEO plays an important role in improving the performance of a fashion company, and future studies are needed to identify how to enhance the corporate performance of a fashion company from various perspectives.

국내 물산업의 경우 하수분야에서 점진적으로 상수분야로 전환되고 있으며, 그 일환으로 유수율제고를 통한 맑은물 공급을 목적으로 노후정수장 개량과 상수관망 정비사업에 필요한 「지방상수도의 노후도 실태평가 및 정비사업 타당성조사」를 수행중에 있다. 그중 환경부는 2008년부터 정수처리시설의 투자확대를 목적으로 20년 이상 노후화된 정수장의 Retrofitting이나, 기존 정수장 고도처리도입시 막여과공정 우선적으로 도입하는 계획을 수립하고 예산지원 등을 통하여 보급확대에 노력하고 있으나 시장의 활성화가 이루어지지 않고 있다. 따라서 국내 막여과 수처리사업의 정책방향과 사업추진현황 분석을 통하여 시장활성화를 위한 방안을 제시하고자 한다.

Conviviality is an interdisciplinary concept and a key phenomenon in the entrepreneurial communities. Entrepreneurial communities are social units that share values, experiences, emotions, rituals and traditions. They give rise to personal contact networks that are sets of formal or informal individual relationships. Conviviality means sharing, openness and participation; in this sense, it can be a tool to foster, animate and amalgamate a community. Thus, it can increase social relations that stably bind individuals and thus, becomes a source of business relations. Drawing from literature analysis and a case of a fashion entrepreneurial community, we propose to investigate how conviviality create an integration between social and business networks.

This exploratory study conducts the difference of e-business implementation of each industry in Japan. According to factor analysis, 9 e-business contents are classified into four factors. Then, as a result of cluster analysis using the four factors, industries are classified into five clusters according to the grade of execution of e-business, and the contents of execution. Online networks including internet have given rise to the digital economy to support electronic business (e-business) activities. But it varies according to a type of industry because how enterprises perform e-business. The purpose of working on e-business is also the same. This study shows that the implementation status of e-business of each industry. E-business using online networks are various, such as not only e-commerce but also activities inside the company. The former examples are sales or purchase trading, and the latter examples are activities of a direct department called production or physical distribution, and a back-office section called accounts or personnel. In addition, purposes of enterprises perform e-business may be various, for example sales expansion, and cost reduction, information sharing. In Japan, before the Internet known as an open online network spreads, former closed online network such as VAN; Value Added Network has been popular to companies in 1980’s. Therefore, companies could use e-business in internal business process integration or to specific partners. The examples are Electronic Data Interchange (EDI), Supply Chain Management (SCM), Enterprise Resource Planning (ERP). But in fact, e-commerce is more popular than other e-business. That may be why effects come out of e-commerce in the short term, such as reduction of office work cost, improvement in customer satisfaction, or the reduction of an input cost. Iacovou et al(1995) recommends the development of successful EDI partner expansion plans, which include EDI initiators pursue promotional efforts to improve partners’ (especially small partners’) perceptions of EDI benefits, provide financial and technological assistance to partners with low organizational readiness, and carefully select and enact influence strategies to reduce resistance. Fisher(1997) concludes the effectiveness of SCM varies according to the matrix of product properties and purpose of SCM. From the viewpoint of marketing partnership, Doney et al(1997) shows that supplier size and supplier's willingness to customer have a positive impact on buyers’ trust. Chatterjee et al(2002) shows that companies structuring e-commerce platform should have top management championship, strategic investment rationale, and extent of coordination. According to these studies, the effectiveness of e-business changes in the factor inside and outside the company such as the relations with a type of industry and the trading partner. MTI(2006) shows the result of a questionnaire companies of Japan and USA why to introduce e-commerce. According to this survey, Japanese companies think as important cost reductions, such as a request from a customer, and increase in efficiency of ordering business, to the USA companies think as important sales expansions, such as new customer acquisition and expansion of a sales channel. SMEA(2009), belongs to MTI, shows SMEs which consider “reduction of trading costs” to be a benefit are greatest in number, but when looked at in terms of employee size, the smaller the enterprise, the larger the number citing that it is “easy to acquire new customers.” These suggest engaging e-commerce actively is important as a means of acquiring customers for small companies as well. MIC(2012) shows the result of an annualy mail survey with about 2,000 enterprises; 87.5% of companies have built a company communication network such as internet, the percentage of businesses using e-commerce (procurement/sales via the Internet) is 44.5%, and the percentage of businesses using at least a part of a cloud computing serviceis 21.6%, which is 7.5 percentage points more than the 14.1% rate at the end of 2010. This study conducts a statistical secondary analysis using large-scale survey. The original survey is “Results of the Basic Survey of Business and Activity on March 31, 2009” provided Ministry of Economy, Trade and Industry in Japan. The survey is somewhat old because they survey each 5 years. The survey is a mail on self-declaration forms given to enterprises which engaged in business with both a minimum capital of 30 million yen and 50 or more employees. Questions include size and profit of enterprises, online network usage and e-business implementation. It covers over 28,000 enterprises which operate mining, manufacturing, and wholesale and retail trade, and eating and drinking places. This study analyzes the semi total data for every 103 types of industry because the reply for each enterprise is not disclosed, and conducts descriptive statistics. An exploratory factor analysis revealed 4 factors from 10 variables on a sample of 103 industries. Table1 shows that pattern matrix after Promax rotation with Maximum Likelihood extraction. As the factor loadings of Sales, Inventory and Distribution are high, 1st factor can be named as “Sales division”. Like the following, 2nd factor is “In-company management”, 3rd factor is “Procurement” and 4th factor is “Manufacturing”. e-business implementation can be classified into “Sales division”, “I n-company management”, “Procurement” and “Manufacturing”. This suggests the priority matter of each enterprise is reflected. First, a type of industry to suffer from the competition with others by sales markets to work on customer satisfactions or marketing tackles “Sales division”. Second, “In-company management” could be important for a type of industry to push forward information integration and employee management in the enterprise or the cost cut of the indirect section. Third, Industries which work on cost reduction with strong bargaining ability to the supplier could be tackling “procurement” e-business. And some manufacturing industries work on “manufacturing” e-business. In order to classify 103 industries according to e-business implementation, cluster analysis is conducted with factor scores observed the analysis. Figure 1 is a result of hierarchical cluster analysis applying the Ward Linkage method. It is divided into five clusters. Table 2 is average factor score & characteristics of each cluster. The analysis shows the characteristic of the type of industry to perform e-business. Cluster 5 which contains only electricity is firstly classified as other types of industry. The cluster has the highest score except “Sales Division” than other clusters. Cluster 3 and 4 work on e-business more positively than Cluster 1 and 2. Cluster 1 has very low score especially “Sales division” and “In-company management”. The reason may be why it has traditional manufacture such as mining and wood manufacture. Cluster 2 has also low score especially “Manufacturing” because it has traditional distributor sector such as apparel, agricultural or furniture wholesales. Therefore, “Sales Division” is performed better than other e-business. On the other hand, Cluster 3 has high score other than manufacturing because it has non-store retailer and electrical or motor wholesales. Many of them work on e-commerce because they satisfy customers and compete with others, and procure products to reduce costs. And Cluster 4 has major manufacture industries such as electronic, motor vehicles and communication, which work on e-business totally. In conclusion, the difference of e-business implementation of each industry reflects on market structure. This study has two limitations. First, as the data used for this analysis is already totaled for every type of industry, the reply situation for each company is not reflected. Though the government statistics are collecting data comprehensively, it is very rare to have released each data because of privacy. After taking into consideration in a respondent's privacy, an indication of individual data is desired. Second, the purpose or attitude companies work on e-business are not taken into consideration though analyzed based on the implementation rate of e-business. Not only action data but attitude data and consciousness data are important. The future research should analyze why companies work on e-business through an interview or questionnaire survey.

Recently, fundamental manufacturing industry such as casting foundry, plasticity, welding etc. is rise to concerned. This study is the analysis of using structural equation method in order to verify the significant activation factor of quality management activities and the effect on business performance in fundamental manufacturing industry. To perform this research, we surveyed CEOs, managers, workers working for manufacturing business. We analysed valid 357 questionnaires that we could use for this research using SPSS 15.0 and AMOS 18.0. The results through this research is following. First, we verified the relationship between organizational supports and employee’s participation to quality management activity, we could get the result that positive influence on to interrelation. Second, we analysed that organizational supports had a meaningful effect on not process performance but business performance. Third, we found that employee’s participation to quality management activity had a significant to business performance, and process performance had a meaningful effect to business performance.

Smart work is advanced business concepts can work efficiently anytime and anywhere beyond conventional office working. Smart work includes mobile office using mobile devices, remote working(home working) using video conferencing system and mart work center. This paper presents development processes of a smart work for After business especially for the elevator industry. We called developed smart work for A/S work. A/S work using iPhone has some advantages compare to previous A/S system: 1) Before/After photo management. 2) The assessment process to customer satisfaction. 3) The work history management using app. 4) The inquiry and confirmation function to current status of all workers. 5) The group SMS function sending selected workers. A/S work was used ‘M’ elevator A/S business and found to be a efficient smart work system.

엔터테인먼트 산업의 새로운 수익창출을 위해 사업다각화는 반드시 필요하며, 이러한 프랜차이즈 산업에 있어서 중요한 컨텐츠는 구체적으로 표현된 문구나 이미지보다는 창작자 또는 창작물의 개성 내지 정체성이라고 할 수 있다. 그러나 이러한 컨텐츠는 아이디어와 표현 이분법에 기초하고 있는 저작권법 하에서는 저작권으로 보호받기가 어려운 것이 사실이다. 한편 현재까지도 실무상 광범위하게 사용되고 있는‘판권’용어는 법률상 사어에 불과하여 그것이 구체적으로 무엇을 의미하는지는 개개의 계약내용을 분석하여 당사자의 의사를 해석하여야 한다. 그러나 상황에 따라‘판권’이라는 용어가 법률에 규정된 권리 이외의 것을 의미하는 경우가 종종 발견되며, 따라서‘판권’은 법률상 권리보다 더욱 폭넓은 권리로 인식되고 있는 것으로 보인다. 그렇다면“현재의 지적재산권법 상 권리로 보호하는 것은 불가능하지만, 산업적으로 경제적인 가치가 매우 크고 당사자 간에 권리로 보호할 필요성을 인정하고 있는 컨텐츠”를 의율하는 개념으로서‘판권’이라는 용어를 정의하여 실무상 활용하는 것을 검토할 필요가 있다고 생각된다. 이와 같은 조치만으로‘판권’이 침해금지의 권원으로 작동하기에는 부족하지만, 최근 판례의 경향에 따라 민법상 불법행위로 구성하여 권리보호를 하는 방안을 도모할 수 있을 것으로 보인다. 또한‘판권’개념을 계약 상 인정함으로써 거래 상 수익창출 모델을 활성화시키는 것이 우리 엔터테인먼트 산업의 파이를 키우는 데에 큰 도움이 되지 않을까 한다.

Causing by economic stagnation and financial management difficulty of the domestic small and medium business company, the actual condition which enlarges the plan of politic funds increased from the government. The government authority as the SBC (small a

게임 산업 중에서도 발전 속도와 확산이 빠른 만큼 다양한 비즈니스모델(Business Model)이 적용 가능한 온라인 게임 산업 분야에 비즈니스모델 분류를 통해 기업 성장을 위한 비즈니스모델을 가늠해 보고자 한다. 이를 통하여 기업에 필요한 비즈니스모델 선택의 기준이 될 수 있을 것으로 판단된다. 온라인 게임 산업 내 비즈니스 모델을 구성하는 요인들을 분류를 위해 관련 현황을 분석하고, 기존의 타 산업 내에서의 비즈니스모델에 대한 전반적인 특징과 유형에 대해 전략적인 요인과 더불어 온라인게임 산업 내 비즈니스모델까지 폭 넒은 요인을 분석 및 고찰 단계를 수행한다. 온라인 게임 산업 비즈니스 모델의 분류 기준을 제시하고 분석 및 분류를 통해 각각 구현된 비즈니스모델 특성을 토대로 비교 분석을 실시하여 온라인 게임 산업 내 비즈니스모델을 통해 향후 발전 방향 및 전략적 대안을 제시하고자 한다.

The purpose of this study was to measure employee ‘awareness’ and ‘practice’ of business ethics in the foodservice industry, and to determine possible correlations between these two variables. Self administrated questionnaires were completed by 1003 employees and data were analysed to ascertain frequency, factor, reliability, correlation and canonical correlation. Two factors were obtained from factor analysis of business ethics(BE) awareness; “Organizational awareness”, and “Individual awareness”. Similarly, two factors were also obtained for business ethics practice; “Systematic practice”, and “Compensatory practice”. Canonical correlation analysis produced two significant functions. For canonical function 1, it was found that organizational awareness of BE was positively correlated with systematic practice. For canonical function 2, it was found that individual awareness of BE was negatively correlated with the compensatory practices of BE. The findings of this study demonstrate that higher organizational awareness of business ethics in the foodservice industry led to higher systematic practices of BE, while higher individual awareness of BE led to lower compensatory practices of BE. In conclusion, higher organizational awareness of BE places a higher priority on building an external system from an institutional perspective, while higher employees awareness of BE leads to higher expectation from the company, resulting in relatively low compensatory practices.