Introduction Business model (BM) research currently represents rapidly developing area of knowledge that helps businesses in finding new sources of competitive advantage and growth drivers. Multiple studies demonstrate that BM studies are multidisciplinary by their nature as this helps better understanding complex processes happening in real life that are described by BM research (Zott, Amit, Massa, 2011; Tikkanen et al, 2005). This means that BM research is built on a basis of strategic management, marketing, sociology, psychology, logistics, institutional economics and other disciplines. Regardless the growing amount of publications in this area (more than 6 times growth for the last 15 years reaching 2100 publications per year according to Scopus) the amount of successful BM in practice remains low. BM studies are primarily linked to the notion of value that is jointly created for the final consumer by multiple participants of the value chain (suppliers, manufacturers, distribution channels). Within the interaction of BM participants the key role is played by their orientation towards the interests of the final consumer who makes the decision on whether to acknowledge or not the created value. As value chain generally consists of multiple commercial organizations, their major interest is in making profits as a result of joint value creation activities. Therefore the key role in BM analysis is played by marketing that helps searching and offering such values for the customer that enable satisfying his needs. Multiple research in marketing confirms that long term customer orientation, cooperation of value chain actors offer companies better development opportunities and lead to better financial results as well as help increasing value generated for the final consumer. However, the current level of marketing involvement into the BM research remains low. This, in turn, significantly limits the opportunities of creating successful and sustainable BM that bring profits to the commercial units of the value chain and satisfy the needs of the final consumer. To address the existing gap the current paper explores the links between BM research and marketing which are then used to develop a new approach to BM innovation. The approach is based on value chains and interfirm relationships. Literature review Regardless large and steadily growing amount of BM publications the questions related to building a unified theoretical basis for BM research are still under discussion (Teece, 2010; Zott, Amit, Massa, 2011; DaSilva, Trkman, 2014; Baden- Fuller, Mangematin, 2015). There is a lack of alignment between the researchers on a broad spectrum of questions (such as BM definition, BM components, the relation between BM and company strategy, BM boundaries, the impact of various BM types on company performance etc). At the same time some consolidation of researchers’ positions can be observed in relation to the domination of a value component within BM definition. The questions related to BM analysis that enable to evaluate the current state of a BM, understand its key components (Hamel, 2000; Johnson, Christensen, Kagermann, 2008; Teece, 2010) and find better opportunities for BM improvement (Osterwalder, Pigneur, 2010; Girotra, Netessine, 2014) are actively researched. Many authors come to a conclusion that a BM spans the boundaries of a single firm and includes a whole complex of interaction participants – suppliers, distribution channels, final consumers. This is because cooperation of various market participants enables to significantly increase jointly created value for the customer (Nenonen, Storbacka, 2010; Zott, Amit, Massa, 2011). This understanding of a BM also leads to the need of thorough analysis of mismatches and inconsistencies between value chain participants that regularly appear in the business (Gassmann, Frankenberger, Csik, 2013; Girotra, Netessine, 2014). Regardless the existing variety of BM studies, most of the papers draw the attention to the process of value creation for the final consumer, which is a zone of marketing interests, as marketing studies the directions of identifying and satisfying customer’s needs. Therefore it is hard to imagine building successful BM oriented on the final consumer and bringing stable income to the companies participating in the BM without organic inclusion of the customer into the value chain by using methods and tools from marketing. These questions are studied within multiple relationship marketing papers (Parvatyar, Sheth, 1995; Gumesson, 1999; Juttner, Christopher, Baker, 2007; Tretyak, 2013). However, nowadays the involvement of marketing researchers in BM studies is low (only 5% of BM studies are published in marketing journals (Coombes, Nicholson, 2013)) which is also confirmed by the current study. Despite the very broad spectrum of studied questions, the importance of value acknowledgement by the customer is neglected by BM researchers. At the same time in case the value is not acknowledged, the BM loses its commercial value for the other participants as it stops bringing them profits. Therefore there is a growing need to incorporating the final consumer into the value chain, understanding its interests. This is possible in case of using the results of marketing research which is demonstrated in the current study. Research design To explore the link between marketing and BM research we review the literature on relationship marketing that is specialized on the value creation process for the customer, inclusion of the customer into the value chain, cooperation and coordination of value chain participants (Parvatyar, Sheth, 1995; Gumesson, 1999; Juttner, Christopher, Baker, 2007; Tretyak, 2013). The similarities between BM research and marketing were examined from two sides. The first examination analyzes the publications statistics of BM papers. We particularly look at the amount of BM publications in marketing journals. The classification of journals by different categories is conducted according to Scientific Journal Rankings (SJR) list. For the purpose of this analysis we use Scopus publications database and all the available articles with “business model” in title published before 2018. The relative “typicality” of these papers and journals is evaluated using citation index (number of citations per article/journal divided by total number of citations). Along with this we analyze not only journals which publish BM articles, but also the journals referring to them. The second examination looks into the actual similar attributes of marketing and BM research. The BM literature is studied through the prism of seven schools of thought that are recently proposed by (Gassmann, Frankenberger, Sauer, 2016): Activity system school (Zott, Amit), Process school (Demil, Lecocq), Cognitive school (Baden Fuller, Morgan), Technology-driven school (Chesbrough, Teece), Strategic choice school (Casadeus-Masanell, Ricart), Recombination school (Gassmann, Frankenberger, Csik), Duality school (Markides, Charitou). These seven schools provide a comprehensive outlook on major BM research tendencies that help in understanding of BM essence, structure, components, goals and objectives, BM performance evaluation, and the directions of future BM studies. Additionally to better understand BM key research trends we analyzed top 25 most cited publications according to Scopus and Ebsco publication databases (the publications with “business model” notion in title were selected). For the purpose of theoretical analysis we applied the methods of comparison, generalization, methods of grouping and classification. The basis of the current research is formed by value chains studying methods that are used in both BM and marketing studies. Results and conclusions The analysis of BM research demonstrated that BM spans the boundaries of a single firm and includes the whole complex of interaction participants that jointly create and deliver value to the final consumer - suppliers, manufacturers, distribution channels. Because of that multiple BM research papers focus on the analysis of the value chains and intercompany networks. Understanding of these specifics formed the basis of a new approach to BM innovation. It is demonstrated that the existing approaches to BM analysis and improvement don’t include the final consumer as a specific BM component, and don’t focus the attention on fulfilling his needs as well as building the mechanism of BM actors’ interaction in accordance with customer’s needs. At the same time the acknowledgement of the value by the customer defines the financial wellbeing of BM actors. Addressing these questions can significantly improve BM performance and can be done through building a link between BM research and marketing. The analysis demonstrated that only 6% of BM papers are published in marketing journals, and only 8% of studies that are citing BM research are published in marketing journals which confirms limited involvement of marketing scholars in BM research. The following similarities between BM and marketing studies were identified and explored: value chains and interfirm networks (examples of marketing studies: Tretyak, 2013; example of BM studies: Nenonen, Storbacka, 2010; Zott, Amit, Massa, 2011), cooperation and partnerships between value chain participants (examples of marketing studies: Parvatyar, Sheth, 1995; example of BM studies: Zott, Amit, 2008), coordination of value chain participants (examples of marketing studies: Juttner, Christopher, Baker, 2007; example of BM studies: Girotra, Netessine, 2014), customer orientation and customer involvement (examples of marketing studies: Gumesson, 1999; example of BM studies: Johnson, Christensen, Kagermann, 2008; Teece, 2010), long term orientation of relationship marketing and sustainable BM (examples of marketing studies: Parvatyar, Sheth, 1995; example of BM studies: Girotra, Netessine, 2014). To close the existing gap a three-level conceptual model (1st level – structure of the BM, 2nd level – mechanism of BM participants’ interactions, 3rd level – results of their interactions) and new approach to BM innovation are offered within the current study. The approach demonstrates a step-by-step sequence of actions within three previously highlighted levels and is targeted on increasing the jointly created value for the customer by the BM by eliminating mismatches and inconsistencies between BM participants. Comparing to other approaches, the new approach allows orienting BM participants towards the interests of the final consumer, acknowledges different abilities of BM actors to influence the value creation process and proposes analyzing the ways of coordination of other BM actors by the dominating actor in order to improve the results of the BM. The practical implementation of the approach demonstrated that it’s key provisions could be successfully applied within different market conditions and lead to improved BM performance (Klimanov, Tretyak, 2016; Lyashchuk, Sterligova, 2016). The following sequence of actions is proposed within the approach: 1st level - structure of the BM (a. Visualization of intercompany network with its key actors and description of their roles; b. Defining and highlighting the dominating actor (hypothesis); c. Analysis of BM variety, their classification), 2nd level - interaction mechanism (a. Defining the mechanism (concrete forms) and coordination directions that are applied by the dominating actor and other BM actors; b. Definition and analysis of mismatches and inconsistencies that appear between various BM actors, and also the ways to overcome them; c. Identifying the most critical inconsistencies, their ranking (where there is the biggest gap between the value created for the customer and the value captured by other BM actors)), 3rd level - results of BM actors’ interaction (a. Analysis of the indicators that characterize BM on various levels; b. Analysis of the impact of mismatches and inconsistencies between the BM actors on the flows’ characteristics: material, financial, customer flow). The new approach to BM innovation has multiple similarities with Activity system school that is based on the approach offered in (Zott, Amit, 2010), which views BM as a system of interdependent activities conducted by the focal firm and other value chain participants in order to create value for the customer and generate profits. The approach assumes that it is possible to analyze or develop a BM by considering the components, structure and control mechanism of the activity system. However, the approach offered in the current study is different from the Activity system perspective at the level at which the activity system is analyzed - these are components of a whole value creation system, rather than a single focal firm. Thus, the proposed approach develops the Activity system perspective by proposing the use of a marketing scheme that integrates certain aspects of BM analysis into an organic whole and offers a threelevel analysis of a BM. Considerable attention in the Activity system perspective focuses on the activities of BM participants and their interaction. The activity system design element related to transaction management also reflects one of the key elements of the new approach proposed in the current study - BM participants occupy different positions in the value chain and have different opportunities to influence the value creation process for the consumer. The highlighted similarities demonstrate that the new approach to BM innovation developed in the study is organically linked to the Activity system perspective proposed by Zott and Amit and elaborates on it.

Recent headlines predict that artificial intelligence, machine learning, predictive analytics and other aspects of cognitive computing will be the next fundamental drivers of economic growth (Brynjolfsson & McAfee, 2017). We have evidenced several success stories in the recent years, such as those of Google and Facebook, wherein novel business opportunities have evolved based on data-driven business innovations. Our directional poll among companies, however, reveals that at present, only few companies have the keys to successfully harness these possibilities. Even fever companies seem to be successful in running profitable business based on data-driven business innovations. Company’s capability to create data-driven business relates to company’s overall capability to innovate. Therefore, this research builds a conceptual model of barriers to data-driven business innovations and proposes that a deeper understanding of innovation barriers can assist companies in becoming closer to the possibilities that data-driven business innovations can enable. As Hadjimanolis (2003) suggests, the first step in overcoming innovation barriers is to understand such barriers. Consequently, we identify technology-related, organizational, environmental and people-related i.e. attitudinal barriers and examine how these relate to company’s capability to create data-driven business innovations. Specifically, technology-related barriers may originate from the company’s existing practices and predominant technological standards. Organizational barriers reflect the company’s inability to integrate new patterns of behavior into the established routines and practices (Sheth & Ram, 1987). Environmental barriers refer to various types of hampering factors that are external to a company. Environmental barriers are caused by the company’s external environment and thus company has relatively limited possibilities to influence and overcome such factors. Attitudinal barriers are people-related perceptual barriers that can be studied at the individual level, and if necessary, separately for managers and employees (Hadjimanolis, 2003). Future research will pursue to build an empirical model to examine how these different barriers are related to company’s capability to create business based on data-driven innovations.

Internet represents an increasingly relevant marketing channel for reaching foreign countries (Sinkovics, Sinkovics, & Jean, 2013). The aim of this paper is to understand how Western firms can exploit digital platforms to enter and sell their products in the contradictory market of China: more advanced than the Western one but also with many restrictions. Drawing from a literature about Internet as communications (Bilby, Reid, & Brennan, 2016) and sales channel (Bai, McColl, & Moore, 2017; Deng & Wang, 2016; Petersen, Welch, & Liesch, 2002), we develop three propositions to be tested in China. We carry out a qualitative research based on interviews with seven key informants operating in the Chinese market. Findings discuss the peculiarities of the Chinese digital environment. We confirm that dealing with Internet in China is different from other countries, therefore even if companies already have competences related to web marketing, they need to (re)learn how to use it and adapt their marketing strategies. Moreover, despite the growing role of the Internet as retailing channel in the Chinese market, we find that digital platforms do not substitute local distributors because of their primary in guanxi established. Internet has not substituted existing channel intermediaries but it has been rather added to them in a omnichannel strategy

Food trucks are not a new idea but the significant growth in the variety of foods served and the number of trucks operating means this retail option is becoming more important. The growth of this segment can be explained by McNair’s (1958) wheel of retailing theory which indicates that growth in retailing happens when new types of retailers with low startup costs, low capital and low prices enter the market – exactly what is occurring with food trucks entering the mature food retailing market. There has been limited academic research regarding the food truck industry. To better understand this retail segment and the factors influencing it, we conducted in-depth discussions with nine food truck owner/operators in the Midwest and Gulf Coast regions of the United States. The discussions with the food truck owner/operators indicated three critical areas: marketing, growth strategy, and legal issues. Technology was found to be vital to this retail segment with social media being used to promote the business and many vendors mentioned that apps like Square (which enables credit card payments) help them get additional sales when customers lack cash. These apps also helped the owner/operators manage some of the legal/regulatory issues associated with operating within different municipalities. Our in-depth discussions with the nine food truck vendors provided insight into the food truck business and helped refine our understanding of critical concerns of this growing industry.

Many firms see organizational learning systems as critical to facilitating competitive advantage. However, until now, few tourism studies have empirically investigated and identified how the different characteristics of highly competitive organizations, such as travel agencies, influence competitive advantage in a dynamic environment. This study uses a mediation-moderation analysis for such an empirical examination. A total of 288 travel agencies from Taiwan were analysed. The authors found that travel agencies’ shared goals may influence competitive advantage through characteristics of dynamic capability development, differential strategy implication and social capital accumulation. Greater levels of organizational learning may positively strengthen the relationships between (a) shared goals and dynamic capability, (b) shared goals and social capital, and (c) social capital and competitive advantage. Implications of these findings for managerial and theoretical frameworks are also discussed.

Technology has turned the consumer into a non-stop generator of traditional, structured, transactional data as well as more contemporary, unstructured, behavioural data. The study of consumer analytics turns on the junction of Big Data and consumer behaviour. This paper intends to test empirically the conceptual model proposed by Erevelles, Fukawa and Swayne (2016) for FB, in Portugal. A qualitative methodology is being performed, namely conducting twenty-five in-deep interviews with the current managers of FB, with the average duration of one hour. Once the 25 interviews are all carried out, they will be subsequently transcribed in full. Then, a content analysis will be held by two researchers and resorted to software NVivo, which is considered a good tool to help in theory building (Azevedo, 1998). Since the study is still at the moment of data collection through in-deep interviews, it is not yet possible to present consistent results. However, the first interviews leads to the idea that FB in Portugal do not have a structure particularly dedicated to identifying business opportunities that favor the implementation of an organized Big Data management system. It was also recognize the option of a more centralized management strategy, in anticipation the changes in the environment that can predict trends in the consumer market. Finally, it was verify that the definition of a particular profile of skills and knowledge associated with the agents involved in the collection and treatment of the inputs given by the consumers through the analysis of the Big Data, is not yet defined.

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.

Aims: Using text mining techniques to investigate the understudied publication trend and thematic areas in the Confucius Business Ethics relating publications. Methods: Research articles which were published during 1999–2016, were searched in 10 business relating databases on April 9, 2017; resulting a total of 488 articles were included. The titles and abstracts were extracted for the text mining analysis using SAS Text Miner, themes were identified by the Text Topic Node. Publication trend, clustering and associations between themes were analyzed. Results: Eight groups of themes were identified. During 1999–2016, the appearance of the Themes “Confucius Leadership”, “Competitive Advantage”, “Corporate Social Responsibility (CSR)", and “Satisfaction and Health” was continuously increasing; meanwhile, research relating to “Chinese Economy” was continuously decreasing; there was a fluctuation trend in that of “Global Ethics”, “Moral and Human Right”, and “Asian Studies”. In the cluster analysis, three main clusters of themes were classified: “Ethics and Leadership”, “Competition and Economy in Asia”, and “CSR and Satisfaction”. Besides, the appearance of “Confucius Leadership” and “Global Ethics”, “Confucius Leadership” and “Moral & Human Right”, “Asia” and “Competitive Advantage”, and “Asia” and “CSR" was positively associated; whereas, that of “Global Ethics” and “China Economy” was negatively associated. Conclusion: The research of Confucius Business Ethics has been focusing on Eastern and Western cross-cultural business ethics, the Confucius ethics and CSR, which was associated with leadership, moral and human rights, in the Global and Asian environments. A call for future research in “Global Ethics” and “China Economy” were suggested.

2018년 6월 28일부터 산림보호법 개정에 따라 수목진료가 본격적으로 시행되며, 수목진료의 주체가 나무병원이기 때문에 나무병원에 대한 사회적 요구도가 높아질 수밖에 없을 것이다. 2018년 3월 30일 기준, 전국적으로 576개의 나무병원이 등록되어 있으며, 1인 이상의 나무의사(수목보호기술자 또는 식물보호기사)가 소속되어 있다. 수목진료의 시행에 따른 나무의사의 수요는 약 5천명으로 예측되고 있어 절대적으로 부족한 상황이다. 수목진료업의 산업화가 가능할 뿐만 아니라, 주로 국가나 학교와 같은 공공기관 및 공동주택에서 관리하는 공공성의 수목들이 진료의뢰의 대상이 되기 때문에 지속적으로 관리할 수밖에 없는 상황이므로 산업으로서의 나무병원은 전망이 밝다고 할 수 있다. 한편, 천연기념물로 지정된 보호수는 대상이 많지 않고, 문화재수리기술자가 진료토록 되어 있어 사업성은 다소 떨어지지만, 이 기술자자격을 취득한 이가 많지 않아 당분간은 나무병원에서 관리하게 될 것으로 여겨진다.

정부와 안전보건공단에서는 건설현장의 안전사고를 줄이기 위하여 감독․점검, 기술지도, 재정지원 등의 산업재해예방 활동을 지속적으로 수행하여 왔다. 하지만, 전체 산업의 사고사망만인율과 재해율이 전반적으로 감소 추세에 있는 반면에, 건설업의 사고사망만인율 및 재해율은 2014년 이후 오히려 증가 추세에 있다. 특히, 2016년 재해통계를 기준으로 전체 건설업 재해자의 약 70%가 공사금액 20억 미만의 소규모 건설현장에서 발생하였다. 이러한 소규모 건설현장의 재해를 줄이기 위해서는 현재의 산업안전보건법 상의 소규모 건설현장 산업안전보건관리체제와 고용노동부 및 안전보건공단에서 수행하고 있는 소규모 건설현장재해예방 사업에 대한 실효성을 파악하고 개선할 필요가 있다. 현 산업안전보건관리체제에서는 건축공사 기준으로 120억 이상인 공사인 경우 안전관리자를 의무 선임하도록 되어 있으며 3억에서 120억 미만 공사의 경우 재해예방지도기관의 기술지도를 받도록 되어 있다. 또한, 안전보건공단에서는 민간위탁기관을 지정하여 3억 미만 건설공사의 안전관리를 지원하고 있으며, 클린사업장 조성지원사업을 통해 20억 미만 소규모 건설현장의 추락재해예방을 위해 시스템 비계, 사다리형 작업발판 및 안전방망 등의 설치 비용을 지원하고 있다. 본 연구에서는 공사금액별 재해통계 및 안전관리자 선임관련 제도를 분석하여 안전관리자 선임 대상을 현행 건축공사 120억 이상인 공사에서 단계적으로 50억까지 확대할 것을 제안한다. 설문조사와 전문가 의견을 수렴하여 재해예방지도기관의 기술지도 영역을 조정하고 실효성을 강화하기 위한 방안을 수립하고, 클린사업장 조성지원사업의 사업 확대 요구 및 개선사항을 도출한다.

이 연구는 미용실 직원의 개인적 특성과 관련하여 조직 성과로서 직무 만족에 대한 조직 의사 소통의 효과를 결정하려고 연구했다. 실증 분석을 위해 경남의 뷰티 살롱 종사자들에 대한 설문 조사를 실시하여 수집된 자료를 분석 하였다. 결과는 다음과 같았다. 첫째, 조직의 의사 소통은 직무 만족에 영향을 미쳤다. 실제로 다른 요인에 비해 의사 소통 능력이 직업 만족에 가장 큰 영향을 미치는 것으로 나타났습니다. 특히 40 세 이상과 고졸 이하와 결혼 한 그룹에서 조직 간 의사 전달이 직업 만족에 미치는 영향은 높았다. 연구 결과에 따르면, 미용 산업에서 직원의 직업 만족도를 높이는 등 비즈니스 성과를 향상시키는 데는 개인의 특성과 조직 의사 소통을 종합적으로 고려한 인적 자원 관리가 필수적이다.

More people travel oversea as the economic size of Korea is getting larger and more new jobs are requested to be created by the society. To respond to these trend and request, Incheon International Airport Corporation (IIAC) is about to expand its processing capability with a new terminal; 54 million passengers to 72 million. IIAC is also introducing new strategies such as open innovation (OI) and creating shared value (CSV). With these changes, IIAC faces new challenges of restructuring its business and organization with new ideas. Most organizations including IIAC are becoming more dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the OI paradigm which is reported as a convincing strategy to improve competitiveness in terms of budget and time-to-market. OI is to quickly react to the rapidly changing business environment and is adopted to support startup incubation. In the previous research with IIAC, three major tasks were defined; utilizing the IIAC brand power for external vendors, building a technology road-map, and introducing a collaboration support system. This paper deals with the collaboration system as proposed in the previous research. We focused on the collaboration process for startup incubation. Cases were studied; the K-startup model by the government, a university model to explore youth startups, and a R&D institute model to study professional startups. Based on the case studies, we defined an IIAC model and proposed issues to take care of. The model is distinguished from the other studied models since IIAC is a prospective customer of new technology.

As the competitiveness of SMEs (small and medium enterprises) 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 and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government’s support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates’ management performance.

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.

This study is an empirical study on the relationships among success factors of six sigma(support of top management, education and training, performance-based reward, customer and quality focused thought) on change management activity and business performance. In particular, mediating effect of change management activity on the relationship between success factors of six sigma and business performance is empirically analysed to find causes and impacts among these variables. The study results are as follows: First, there were positive relationships between critical success factors of six sigma(except support of top management) and change management activity. Second, there was also a positive relationship between change management activity and business performance. Third, there were also positive relationships between critical success factors of six sigma and business performance. Finally, change management activity was partial mediating effects on the relationship between critical success factors of six sigma(education and training, performance-based reward, customer and quality focused thought) and business performance. On the other hand, support of top management had no mediating effect on business performance.

최근 기술융합의 핵심현상으로 사물인터넷이 대두되면서 사물인터넷의 기술트 렌드 및 기술융합에 관해 많은 연구들이 진행되고 있다. 그러나 기존 연구들의 대부분이 사물인터넷 기술 동향에 대한 정성적 연구에 그치고 있어 기술융합의 구체적 양상을 파악하기 어려운 실정이다. 따라서 본 연구에서는 특허 데이터를 기술의 대용데이터로 간주하고, 동시 분류분석과 텍스트마이닝을 바탕으로 사물인터넷 융합 네트워크를 구축하고 융합의 특성을 분석하였다. 본 연구에서는 먼저 문헌연구를 통해 사물인터넷의 융합을 일으키는 주요 기술 군을 디바이스, 네트워크, 플랫폼, 서비스 네 가지로 정의한 후, “Internet of Things” 키워드 를 중심으로 미국 특허청에서 수집된 923개 특허의 클래스를 네 가지 기술군에 할당하여 이 들 간 관계를 파악하였다. 대부분의 클래스 및 키워드가 디바이스에 관련되어 있으므로, 본 연구에서는 융합 현상을 디바이스 융합과 전체 융합으로 나누어 기술융합 양상을 파악하였다. 디바이스 중심의 사물인터넷 기술을 분석한 결과 센서 디바이스를 비롯한 헬스케어 디바 이스, 냉장 및 냉동 장치, 에너지관리 디바이스, 로봇, 임베디드 등이 주요 융합 그룹으로 도 출되었다. 전체 기술을 대상으로 분석한 결과 사물인터넷 요소기술을 중심으로 스마트 헬스 케어, 스마트 홈, 무인자동차 등 사물인터넷의 다양한 응용영역들이 기술융합을 이루고 있는 것으로 파악되었다. 본 연구 결과는 사물인터넷 기술융합 활성화를 위한 정책 및 전략 수립 에 효과적으로 활용될 수 있을 것으로 기대된다.

본 연구에서는 글로벌 전략적 제휴를 하는 중국 산동성 소재 대기업을 대상으로 꽌시, 명성, POS(perceived organizational support), PLS(perceived leader support), 해외사업경험, 해외사업조직이 파트너기업과의 지식공유성과에 미치는 영향에 대하여 실증분석을 실시하였다. 제휴파트너와의 꽌시, 명성, POS는 전략적 제휴 파트너 기업과의 지식공유성과에 유의하게 정(＋)의 영향을 주는 것으로 나타났다. 반면 PLS는 예측한 바와 달 리 제휴파트너 기업과의 지식공유성과에 유의한 부(-)의 영향을 보여주었다. 그리고 해외사업경험은 꽌시와 명성 이 글로벌 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어 긍정적인 조절효과를 미치는 것으로 나타났 다. 한편 해외사업조직은 꽌시가 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어 긍정적인 조절효과를 보여주었다. 그러나 명성이 제휴파트너 기업과의 지식공유성과에 영향을 미침에 있어서는 긍정적인 조절효과를 보여주지 못하는 것으로 나타났다. 본 연구는 특히 중국 내부에 오랜 기간 글로벌 전략적 제휴를 바탕으로 크게 둥지를 튼 중국기업에 대한 조직, 인적자원관리 측면에 대한 연구와 이들 기업들에 대한 국제경영 관점의 연구, 이 두 개의 큰 줄기를 하나로 통합한 관점에서 연구했다는데 큰 의미가 있다.

This contribution focuses on fitting between heuristic rules and the task environment in business to business market. The subject is about evidence-based business decision-making process in the business actors‟ perspective. The empirical setting of fashion business to business markets is considered, focusing on adaptive behavior situated in the interaction processes in customer-supplier relationships emerging from empirical researches. The paper considers two key aspects of the process: (1) the origin and diffusion of the heuristic rules adopted by the actors (adoption) and (2) the fields in which the rules can be used (scope) are discussed. The central research questions are: How heuristics are adopted and diffused in the fashion business to business environment (adoption)? How wide is the context in which the heuristic rule is applied by the actors (scope)? Fashion business to business markets is our setting of analysis. First of all we have to define what are heuristics. Studies of decision-making processes generally divide them into two, mutually exclusive types: rational decision making versus rule-based decision making (March 1994). In the case of rational decision making the approach is to evaluate the consequences of any decision in terms of either pure (maximizing) or limited rationality (satisficing). In rational decision making, consequential choices are adopted, hence an evaluation of preferences and expectations is necessary and decisive to the final outcome. Instead, in rule-based decision making, what counts most is following the rules, the aim being to satisfy and/or define an identity. In rule-based decision making, rules deemed appropriate are adopted, and what then counts are the rules and the identity, which form the basis for taking well-thought-out actions. Rationality requires less „specific‟ knowledge, since it relies on abstract rules. In this approach, following the rules may instead involve understanding them in relation to the specific context in which they are to be applied. The relations between heuristics and interaction in business networks provide a means to study other aspects of the evolution of the relationship between enterprise and business market environment (Artinger et al. 2015; Guercini et al. 2014, 2015). In fact, the network of relationships the actors adopt images of the relationships to be cultivated with the precise aim of formulating an effective representation of the market, enable other phenomena to be examined, not so much in their qualitative aspects, but rather as regards their importance as perceived by business decision-makers. In light of these relations between heuristics and setting, the essential properties of heuristics that we propose to examine herein are: (1) specificity, intended as the field of application and setting in which any heuristic rule is generated and routinely applied; (2) convergence, which concerns how widespread, at least in appearance, any given heuristic rule is amongst actors in a given market setting (Guercini 2012). In other terms, the heuristics of entrepreneurial marketing can be considered specific to this particular setting, in that they concern the degrees to which such rules are generated, are successful, and are confined to the specific setting or context. Looking more closely at the two above-mentioned properties, specificity is high when, for instance, a heuristic refers to a specific, circumscribed matter (for example assessing the opportune moment to purchase certain semi-finished goods) and finds no application in any other setting. Conversely, a rule‟s degree of specificity is low when its field of application is broad: a rule may, since its inception, be applicable to many different fields, or it may be initially applicable only to a limited range of decisions, but subsequently find fruitful application in other, broader matters (Guercini et al. 2014). The degree of convergence instead regards the frequency with which a given heuristic rule is adopted within a population, a community or, in our case, by entrepreneurs. Such adoption may only be apparent, in the sense that what seems to be a single rule may actually represent various, subtly different rules for each individual, given the supremely personal, individual nature of fine mental processes. Evaluating the degree of convergence of a given heuristic within a population obviously involves measuring its dissemination in terms that are recognized as such by the researcher. Convergence is high for rules adopted by everyone, or at least by a large segment of the population in question. Other heuristic rules are instead developed by individuals in forming their personal judgments and seem to be unique to such individuals, in that they do not arise in others. This implies that heuristic rules may be the source of a relative advantage for the entrepreneur, in so far as the heuristic in question proves itself successful, that is, an element that determines a good choice when other methods are ineffective or may even produce negative effects. Specificity and convergence are thus general properties of the heuristics adopted by entrepreneurial marketers, and are strongly tied to the interpersonal relationships and consequent interactions within business decision-makers‟ personal contact networks (Guercini et al. 2015). Heuristic procedures are easily detectable in the descriptions of enterprise top management of the processes they utilize in assessing possibilities and forming judgments. Some of these procedures are highly abstract and applicable to various different settings, for instance, regarding problems typically facing firms as well as purchase decision-makers. In the following we shall briefly present some of the heuristics encountered in our research; a more detailed description and more rigorous modeling of their characteristics will be addressed in future work. Let us consider now a fashion business to business settings, and more precisely the situation in which the decision-maker of a fashion firm is tasked with formulating a judgment regarding the best choice of colors to keep up with the fashion trends of coming seasons. From interviews with representatives of styling divisions, what repeatedly emerged was their conviction that “strong” colors periodically and forcefully come back in fashion. Some even went so far as to specify the duration of this cycle: seven years – that is, the same as the number of strong colors –, which also turns out to be coherent with long-standing observations on the limits of human cognitive function (Miller 1956). No clearly defined explanation was offered of the reasons for, or origins of, this rule, although some hypotheses were advanced: simply that a sort of “law” was first noticed and then became consolidated as its predictions were repeatedly verified over time. A second example is that of the textile firm entrepreneurial marketer called on to provide a forecast of the fabrics that will be most widely utilized in the market over the next few seasons. From the marketer‟s perspective, the price of natural fibers is one element on which to base any judgment regarding future fabric usage trends. Clearly, there are technical time constraints on the purchasing of fibers for spinning, which must naturally precede the sale of the fabric, and may even take place already in the stage of drafting the fabric sample book. Thus, a specific assessment rule is applied: those fibers whose price increases during certain periods of the year are deemed to be those that will be in most widespread use the following season. However, for some years now this rule has begun to seem less reliable than in the past. Workers in the sector speak of greater complexity in the wool market, where supply factors, such as international manufacturers‟ policy of stepping up fiber tops production, have had the effect of upsetting traditional market dynamics. The heuristic rules in these examples can be regarded in the perspective of the attributes they present, in particular, their “specificity” (or field of application) and their “convergence” (or degree of dissemination). A rule that is highly specific to a certain application setting looses much of its value when applied to judgments other than the one for which it has been developed. On the other hand, a rule that is in widespread use in many firms can hardly become a distinctive resource for entrepreneurial marketers. The widespread dissemination of a given heuristic rule amongst the rules “in stock” or the “adaptive toolbox” of firms may influence its effectiveness. Indeed, the fact that a rule is shared by many may justify its adoption in light of the validity that the decision-makers seem to attribute it, even if it is less probable that its use impart a distinctive competitive advantage. The examples of heuristic processes presented in the foregoing seem to enjoy different degrees of specificity and convergence. The association of certain heuristics to specific settings takes on the significance attributed to them by Simon (1979), as rules bound by the task environment and not clearly referable to relatively abstract mechanisms or endowed with autonomy. Mechanisms applicable to less specific settings are instead referable to the heuristics described by Tversky and Kahneman (1974), including representativeness, availability and adjustment/anchoring, identified in relation to the possible distortions and errors associated to them. The heuristics modeled by “building blocks” by Gigerenzer et al. are seemingly cannot be captured by a few categories, given the variety of formal models identified. Briefly, these include (1) recognition heuristic; (2) fluency heuristic; (3) take-the-best; (4) tallying; (5) satisficing; (6) 1/N equality heuristic; (7) default heuristic; (8) tit-for-tat; (9) imitate the majority; (10) imitate the successful; (11) hiatus heuristic; (12) fast and frugal trees; (13) mapping models; (14) averaging the judgment; (15) social circle; (16) moral behavior (Gigerenzer and Gaissmaier 2011, Gigerenzer and Brighton 2009). In the approach proposed by Gigerenzer and his “adaptive behavior and cognition program”, formal models are necessary to evaluate the real contribution of heuristics to cognition, decision-making and behavior. For details, refer to the publications of the adaptive-behavior-and-cognition program (Gigerenzer 2007; Todd and Gigerenzer 2012). Rule-based decision making implies the availability of rules to follow and consistency with an established identity as the driving factors in the decisionmaking process. If the rules satisfy an ecological rationality approach, are such rules then the result of a process of rules selection with which the decision makers are endowed innately or they are formed through a process of learning? And, if the latter is true, what are the characteristics of the decision-making process during the stage that the rules formation schemes are more open? And lastly, when the rules have already been defined, are they necessarily stable or can they be questioned and, if so, in what terms? These research questions are part of the future research stimulated by this first exploration based on case study research.