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The purpose of this paper is to examine the results of an empirical exploration of the relationship between learning transfer climates and organizational innovation. Additionally, factors associated with learning transfer climate that could account for innovation in Korean public and private organizations have been explored.

This study relies on quantitative data obtained from two survey questionnaires. The sample consists of 390 employees working for seven private and five public organizations; further, each employee has completed at least one training program within a one-year period.

Results of the study demonstrate that private, rather than public organizations, have significantly higher mean scores for all five learning transfer climate variables and for perceived organizational innovation. The results of multiple regression analyses reveal that openness to change and performance coaching have common and significant impacts on perceived innovation in both private and public organizations. However, the other three variables (i.e., transfer effort-performance expectations, performance-outcomes expectations, and performance self-efficacy) have varied effects on perceived innovation depending on organizational type. Specifically, transfer effort-performance expectations has a relatively meaningful impact on perceived innovation in public organizations. Performance-outcomes expectations and performance self-efficacy have relatively meaningful effects on perceived innovation in private organizations.

The sample for this study consists of employees solely from Korean organizations. Therefore, further studies encompassing a greater sampling variety are required to determine the generalizability of these results. In addition, this study is limited to an investigation of the possible differences between public and private organizations with respect to their learning transfer climates and innovation. In studies to follow, researchers can further investigate these relationships in segmented organizations.

The results of this study will assist human resource practitioners to promote innovation effectively and efficiently based on organizational type.

The purpose of this study is to investigate the effect of factors associated with e‐learning, particularly computer attitudes and usability, on transfer of training in workplace e‐learning courses.

This study relied on quantitative data obtained from four online survey questionnaires. The sample of this study was 47 learners who took either one soft‐skill e‐learning course or one hard‐skill e‐learning course in a selected company and their supervisors.

The results demonstrated that learners' computer attitudes impact their perception of the usability of the e‐learning courses, and that this perception influences the degree of their transfer of training. The results imply that when learners come to an e‐learning class with positive attitudes toward computers, they feel the e‐learning course system to be more satisfactory and efficient, and accordingly they can better transfer what they have learned to job performance.

The sample of this study is limited. Further research studies with various learners should be conducted. Additionally, the measure of transfer merely relied on their perception of it. Further studies should give more attention to the multifaceted measures of the actual transfer. Finally, further research should be conducted to examine other general factors pertaining to the transfer of training in e‐learning settings in addition to computer attitudes and usability.

The study expands the knowledge base regarding transfer of training by focusing on e‐learning, which is rapidly growing and receiving great attention in the workplace, and thus contributes to the establishment of a more comprehensive model of transfer of training.

Despite the rapid growth in online sales of apparel, some consumers are still reluctant to purchase clothing on the Internet. This may be due to perceptions of risk associated with the type and quantity of information on which to make their purchase decision. The purpose of this study was to explore the availability of product and customer service information and to examine Web site quality of leading US Internet apparel retailers. A content analysis of their Web sites shows that online apparel merchants are providing a large amount of basic product information traditionally provided on labels, but are not providing sensory or experiential product information useful in making purchase decisions for fashion‐oriented garments. Online merchants are providing extensive customer service information. Basic Web site quality components are evident on most apparel Web sites, but entertaining and aesthetic features that can differentiate a merchant from competitors are being used sparsely.

The purpose of this chapter is to investigate the educational impact of the Organization for Economic Co-operation and Development (OECD) on South Korea, focusing on the global implementation of the Programme for International Student Assessment (PISA). By analyzing how the system of reasoning embedded in the OECD and PISA has re-territorialized the education space of South Korea, this chapter problematizes present-day OECD educational policy as a new global education norm, and its way of making educational truths. This chapter specifically discusses the changes in South Korean education policy, national curriculum, and examination system in terms of reference reasoning, politics of knowledge, and regime of testing. The chapter further discusses that the impact of the OECD in a global space is not unidirectional; rather, it is a multi-directional phenomenon occurring in both individual country and the global governance that the OECD created.

The purpose of this paper is to propose a novel risk assessment approach that considers the inter‐relationship between supply chain risks and the structure of network at the same time. To reduce the impact of the supply chain risk and enhance the flexibility of transportation route finding during the product delivery, the authors propose a way to model the risk propagation and how to integrate it with the supply chain network using Bayesian Belief Network (BBN). The key risk indicators (KRI) of each vertex and edge of the supply chain network which are measured or computed by the proposed approach can be utilized to develop the optimal transportation route in the execution phase.

BBN is utilized to illustrate the relations among supply chain risks which may take place in a certain vertex. To apply the BBN to the supply chain network, the authors develop the framework to integrate BBN and the supply chain network by using the general functions that describe the characteristics of the risk factors and inter‐relationships between vertices.

By using the proposed risk assessment and dynamic route‐finding approach, it is possible to reduce the unexpected cost from the supply chain risk and overcome the limitations of previous risk management strategies which focus on developing counter plans and assume the independency of supply chain risks.

The proposed approach describes how to develop KRI‐BBN to model the risk propagation and to integrate the KRI‐BBN and supply chain network. The KRIs directly measured or computed by KRI‐BBN in real time can be utilized to alternate supply chain execution plans such as inventory management, demand management and product flow management. Transportation problem considering risk is developed to show how to apply the proposed approach and numerical experiments are conducted to prove the cost effectiveness.

The contribution of this paper lies in the way of developing KRI‐BBN to assess the supply chain risk and modelling of the risk propagation by integrating KRI‐BBN with supply chain network. With the proposed risk assessment approach, it is able to alternate the transportation route to minimize the unexpected cost and transportation cost simultaneously.

This study aims to provide a systematic review about the Internet of Things (IoT) and its impacts on happiness. It intends to serve as a platform for further research as it is sparse in in-depth analysis.

This systematic review initially observed 2,501 literary articles through the ScienceDirect and WorldCat search engines before narrowing it down to 72 articles based on subject matter relevance in the abstract and keywords. Accounting for duplicates between search engines, the count was reduced to 66 articles. To finally narrow down all the literature used in this systematic review, 66 articles were given a critical readthrough. The count was finally reduced to 53 total articles used in this systematic review.

This paper necessitates the claim that IoT will likely impact many aspects of our everyday lives. Through the literature observed, it was found that IoT will have some significant and positive impacts on people's welfare and lives. The unprecedented nature of IoTs impacts on society should warrant further research moving forward.

While the literature presented in this systematic review shows that IoT can positively impact the perceived or explicit happiness of people, the amount of literature found to supplement this argument is still on the lower end. They also necessitate the need for both greater depth and variety in this field of research.

Since technology is already a pervasive element of most people’s contemporary lives, it stands to reason that the most important factors to consider will be in how we might benefit from IoT or, more notably, how IoT can enhance our levels of happiness. A significant implication is its ability to reduce the gap in happiness levels between urban and rural areas.

Currently, the literature directly tackling the quantification of IoTs perceived influence on happiness has yet to be truly discussed broadly. This systematic review serves as a starting point for further discussion in the subject matter. In addition, this paper may lead to a better understanding of the IoT technology and how we can best advance and adapt it to the benefits of the society.