Purpose Facebook is a social network service that has the highest number of Monthly Active Users around the world. Hence, marketers have selected Facebook as the most important platform to get customer engagement. With respect to the customer engagement enhancement, the most popular and engaging post type in the Facebook brand fan pages related to what was usually classified as 'sweepstakes'. Sweepstakes refer to a form of gambling where the entire prize may be awarded to the winner. Which makes customers more engaged with the brand. This study aims to explore sweepstakes-oriented social media marketing approaches based on the application of big data analytics. Design/methodology/approach we collect sweepstakes data from each company based on the data crawling from the Facebook brand fan pages. The output of this study explains how companies in each category of FCB grid can design and apply sweepstakes for their social media marketing. Findings The results show that they have one thing in common across the four quadrants of FCB grid. Regardless of the quadrants, most frequently observed type is 'Simple/Quiz or Comments/Quatrains [event type of sweepstakes] + Gifticon [type of reward prize] + Image [type of message display] + No URL [Link toother website] +Single-Gift-Offer [type of reward prize payment]'. So, if the position of the brand is hard to be defined by the FCB grid model, then this general rule can be applied to all types of brands. Also some differences between the quadrants of the FCB grid were observed. This study offers several research implications by analyzing Sweepstakes-oriented social media marketing approaches in Facebook brand fan pages. By using the FCB grid model, this study provides guidance on how companies can design their sweepstakes-oriented social media marketing approaches in the context of Facebook brand fan pages by considering their context.

Purpose This study empirically examined the causal relationships among the level of advanced manufacturing technology(AMT), facilitation of alignment, the degrees of strategic alignment of management accounting information systems(MAIS), and the improvement of production performance. Design/methodology/approach Data for this study were drawn from a survey of the current status of AMT used in Korean manufacturing firms. At the beginning, 131 organizations responded to the request for information. However, during the survey, 5 firms withdrew from the survey, and as a result, 126 manufacturing firms were included in the research. In order to collect data, this study administered questionnaires with the participating firms. The survey was conducted during a 4-month period between November 2015 and March 2016. Findings The results showed that the level of AMT has a significant impact on alignment facilitation. A significant causal relationship between alignment facilitation and MAIS strategic alignment was also found. It was shown that under high degrees of MAIS strategic alignment, MAIS must provide broad-scope and integrated types of information. The causal relationships between MAIS strategic alignment and organizational performance were significant and positive. Thus, it is concluded that under high levels of AMT, a high degree of MAIS strategic alignment positively contributes to the improvement of a firm's production performance.

Purpose This study provided empirical support for the model that explain the formation of privacy concerns in the perspective of Information Boundary Theory. This study investigated an integrated model suggesting that privacy concerns are formed by the individual's disposition to value privacy, privacy awareness, awareness of privacy policy, and government legislation. The Information Boundary Theory suggests that the boundaries of information space dependends on the individual's personal characteristics and environmental factors of e-commerce. When receiving a request for personal information from e-commerce websites, an individual assesses the risk depending on the risk-control assessment, the perception of intrusion give rise to privacy concerns. Design/methodology/approach This study empirically tested the hypotheses with the data collected in a survey that included the items measuring the constructs in the model. The survey was aimed at university students. and a causal modeling statistical technique(PLS) is used for data analysis in this research. Findings The results of the survey indicated significant relationships among environmental factors of e-commerce websites, individual's personal privacy characteristics and privacy concerns. Both individual's awareness of institutional privacy assurance on e-commerce and the privacy characteristics affect the risk-control assessment towards information disclosure, which becomes an essential components of privacy concerns.

Purpose: In Korea, market size of social commerce has been increased steadily and highly, but profits of social commerce companies have been decreased because of excessive marketing cost. To overcome this stagnant market environment, new marketing strategy that could attract customers and make customers continue to use social commerce is required instead of cost consuming marketing strategy. The purpose of this study is to investigate the relationship among characteristics of social commerce - that is, economic value and information quality - usefulness, enjoyment, satisfaction and repurchase intention by applying motivation theory to the area of social commerce. Design/Methodology/Approach: Previous researches have been studied by applying Expectation-Confirmation Model (ECM), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) Model, although there are many studies related with customer acceptance model in the field of e-commerce. However, there is not so many studies in applying motivation theory. So this study adopts new approach to examine why customers use social commerce based on motivation theory. Thus, this study adopts economic value and information quality as antecedents, and then customers will perceive extrinsic and intrinsic motivation; usefulness is extrinsic and enjoyment is intrinsic, and adopts satisfaction and repurchase intention as a dependent variable. The data of questionnaire were collected from customers who have experience to buy something in social commerce. 228 questionnaires as data unit of individual level were collected using random sampling. Findings: This study proved empirically that the relationship between antecedents and motivation factors has a positive influence, and motivation factors also have a positive influence on repurchase intention through satisfaction. This study provides the managers an insight that social commerce companies should pay more attention to improve customer satisfaction in order to increase higher performance in repurchase intention of social commerce.

Purpose The purpose of this study is to improve the efficiency of the activities of loosely connected network organization through the platform(Ba) of knowledge sharing. Loosely connected network organizations have been tried to promote new work and complement the scarce resources through collaborations. NPO(Non-Profit Organization) is essential to establish cooperation networks in order to achieve the public interest on the basis of scarce resources. This study interpreted the Ba on the 'Change-On' program and analyzed the social networks of regional organizations through the activation of the Ba. The 'Change-On' program is conducted for several years to promote the efficiency of the NPO network by Daum Generation Foundation. Design/methodology/approach This study made a design to organize the Ba concept of Nonaka & Konno and presented a case of the Ba activated based on the NPO network of regional order. According to the social network analysis of regional cooperation within the network of participating organizations was extended, it was found that the principal plays a significant role as a central hub made. Findings According to the empirical analysis, this study illustrated that various types of network were formed among NPOs based on the 'Change-On'. Furthermore, the networks surrounding NPOs are extended to the other people connected to them. This means that the network of NPOs had been diversified via the facilitation of the Ba. This study throws new highlights on the new role for the Ba as a network promoter in addition to the partner as a technology-provider in the NPO ecosystem. Moreover, the network analysis between before-and-after can be used for the evaluation of the effectiveness of the various Ba programs.

Purpose It is a major goal to improve the product yields during production operations in the manufacturing industry. Therefore, factory is trying to keep the good quality materials and proper production resources, also find the proper condition of facilities and manufacturing environment for yields improvement. Design/methodology/approach We propose the hybrid framework to analyze to dataset extracted from MES. Those data is about the alarm information generated from equipment, both measurement and equipment process value from production and cycle/pitch time measured from production data these covered products during production. We adapt a data warehousing techniques for organizing dataset, a logistic regression for finding out the significant factors, and a association analysis for drawing the rules which affect the product yields. And then we validate the framework by applying the real data generated from the discrete process in secondary cell battery manufacturing. Findings This paper deals with challenges to apply the full potential of modeling and simulation within CPPS(Cyber-Physical Production System) and Smart Factory implementation. The framework is being applied in one of the most advanced and complex industrial sectors like semiconductor, display, and automotive industry.

Purpose The development of the Fintech industry can be on the basis of the development in IT technologies such as Big data, IoT, cloud computing, it can be considered that the financial industry is repeating the evolution into Fintech. But the awareness of the consumers is still very low. Therefore the current dissertation, tries to deduce the suggestions for invigoration measures for Fintech by conducting an empirical study on the factors that influence the intention of reuse of Fintech on the consumer's point of view. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Expectation Confirmation Theory. This paper empirically analyzes the impact of Continuous Usage Intention for Improvement of Fintech. The 302 survey responses were used to verify research hypotheses through covariate structural equation model. Findings According to the empirical analysis result, this study confirmed that the ultimate purpose of the Fintech service is to eliminate the social cost's waste element occurring from issue of money by not using or reducing the usage of cash. Since many Fintech users have pointed out security as the priority task, a direction for the related institutions has been proposed. Second, the content of the current dissertation will be the opportunity of broadening the perception of the current consumers that perceive Fintech as only a NFC simple payment service.

Purpose The purpose of this study is to investigate to investigate the effects of cloud system on the efficiency improvement and cost-saving of production processes. It also tries to provide small- and medium-sized companies and IT practitioners with a practical guideline for a successful implementation of could systems. Design/methodology/approach This study was conducted by observing and analyzing a case of implementing a cloud system at a small-sized company having multiple job sites in terms of the improvement in data-sharing efficiency and cost-saving of production processes. Findings This study found that cloud system was an effective way of sharing data between and among production processes of geographically scattered job sites and thus, helped the company to remedy problems of work schedule and load-balance along sequential production processes. Cloud system also allowed the company to reduce the number of visits made by 3-inspectors to four job sites by 75% and the personnel cost related to inspectors' site visit.

Purpose The purpose of this study is to identify the related factors of cautious purchasing for buyers who have purchased products in online shopping mall. First, we focus on the prevention focus, which is one of the personal characteristics, that affect the cautious purchase, and analyze the satisfaction of purchasing according to cautious purchase. Furthermore, we investigate the influence of emotional intelligence (self-awareness and social-awareness) on the process of cautious purchasing and satisfaction. Design/methodology/approach In order to verify the hypotheses, this study surveyed individuals who purchase products on the Internet for about 2 months from August to September 2016. A total of 250 copies were returned, but 20 questionnaires that were incomplete were excluded. Thus, the final 230 samples were analyzed. Structural equation modeling (SEM) was used for hypothesis testing. Findings The result of this study showed that the cautious purchasing is stronger for the buyers with the prevention focus. And consumers who purchase carefully have higher satisfaction after purchasing. In addition, emotional intelligence in the cautious purchasing process has a positive moderating effect. Based on the results of this study, the theoretical and practical implications are suggested.