• Journal of the Korean Operations Research and Management Science Society
• /
• v.41 no.4
• /
• pp.75-93
• /
• 2016

This study aims at analyzing the relationship between team characteristic and innovation performance. The mediating effect of creative climate on the team characteristic and innovation performance is also measured. Based upon literature review, individual creative characteristics, team diversity, team cohesion, task characteristics are presented as antecedents of team characteristic. Creative climate affects the creative behavior and innovative performance. Creative climate is measured as the Team Climate Inventory (TCI) proposed by Anderson & West (1998) including goal, participative-autonomy and innovative-support. Data were collected from 186 survey responses (54 Teams) out of total 462 (69 teams) from the R&D department of a major ICT firm in Korea. Empirical results show the diversity, cohesion, job characteristic, individual creative characteristic have a positive effect on the creative climate and innovation performance. The participative-autonomy climate factor appears to mediate the relationship between team characteristic (diversity, cohesion, job and individual characteristics) and innovation performance. However, the mediating effects of goals and innovative-support factors were not significant statistically. It was confirmed that the organization can contribute to improve the team innovation performance by facilitating a autonomy and participative climate as well as fostering the team characteristic.

• Journal of Korea Multimedia Society
• /
• v.23 no.10
• /
• pp.1318-1330
• /
• 2020

The purpose of this study is to identify the effect of the innovation characteristics that AI Elderly Care Robots have on elderly consumers and to verify the acceptance or mediated resistance by the elderly of the innovation characteristics. Research was conducted throughout this study of the characteristics of the elderly so that the study results could contribute to the improvement of the quality and manufacture of AI Elderly Care Robots by lowering the psychological resistance of the elderly. Survey questions were answered by senior citizens aged 65 and older. The SPSS25 and AMOS22 programs were used for analysis. The analysis confirmed that innovation resistance has a significant mediated effect on the characteristics of elderly consumers and their willingness to accept the innovation characteristics of the AI Elderly Care Robots. Through this study, Ram's innovation resistance model has been verified empirically and it is estimated that by considering the specificities of elderly consumers and using the information to contribute to the development and modification of AI Elderly Care Robots will increase the willingness of the elderly to accept the innovation characteristics of the AI Elderly Care Robots.

• International journal of advanced smart convergence
• /
• v.13 no.2
• /
• pp.110-118
• /
• 2024

This study examines factors influencing nonusers' resistance to the adoption of the metaverse, focusing on propagation mechanisms. It elucidates the role of innovation resistance within the metaverse adoption process. We applied the Innovation Resistance Model in the context of the metaverse and considers three major groups of factors influencing resistance to the metaverse: innovation characteristics (perceived usefulness, compatibility, perceived risk, and complexity), consumer characteristics (personal innovativeness), and propagation mechanisms (mass media, online media, and personal communication). An online survey of college students who do not use the metaverse revealed that perceived usefulness, compatibility, personal innovativeness, and online media were negative predictors of resistance to the metaverse. Conversely, perceived risk, mass media, and personal communication were positive predictors of resistance to the metaverse. Furthermore, innovation resistance was found to play a mediating role in the metaverse adoption process. Drawing upon the findings, we suggested marketing strategies to decrease resistance to the metaverse.

• Journal of Korea Port Economic Association
• /
• v.35 no.4
• /
• pp.121-146
• /
• 2019

This study investigates the innovation resistance when blockchain technology is introduced for the shipping and port industry. For the development of a research model with suitable measures, we review and focus on innovation resistance factors with the blockchain technology derived from previous studies. In this research, we consider four factors (innovation characteristics, consumer characteristics, environmental characteristics, and cost characteristics) with innovation resistance as dependent variables. The innovation characteristics include relative benefits, complexity, and perceived risk. The consumer characteristics consider attitude toward existing products, innovation, and self-efficacy. Social impact variables are environmental characteristics and rationality of cost. In the statistical analysis, we set up eight hypotheses to test the significances between variables and find the following four empirical results. First, the relative advantage and the perceived risk have a significant effect on innovation characteristic, but the complexity of this characteristic has no significant effect on innovation resistance. Second, the rationality of cost has no significant effect on innovation resistance. Third, the attitude toward existing products has a positive effect and the innovation of the consumer characteristic has a negative effect on innovation resistance, while the self-efficacy has no significant effect. Finally, the social impact has a significant effect on innovation resistance to blockchain in the shipping and port industry.

• Journal of Distribution Science
• /
• v.21 no.4
• /
• pp.11-20
• /
• 2023

Purpose: 1) develop a learning model involving design thinking to develop creative economy innovation and the characteristics of digital entrepreneurs. 2) evaluate the impact of design thinking on creative economy innovation 3) evaluate the impact of design thinking on digital entrepreneurial ability. Research design, data and methodology: 1) develop a learning model involving design thinking in order to develop creative economy innovation and the characteristics of digital entrepreneurs. 2) Evaluating creative economy innovation involving design thinking. 3) Assessing the characteristics of digital entrepreneurs based on design concepts. Results: 1) the development of a learning model involving design thinking to develop creative economy innovation and digital entrepreneurial competency 2) The students who studied using the learning model involving a design thinking process had the highest overall scores in terms of creative economy innovation 3) The scores for the assessment of digital entrepreneurial activity for the students who studied by using the design thinking learning model were at a high level. Conclusions: The development of the design thinking learning model can encourage students to be able to develop creative economy innovations and to empower digital entrepreneurs' ability for distribution strategy. Educational institutions that would like to succeed in developing creative economy innovative and digital entrepreneurship characteristics with the support of design thinking.

• Korean Management Science Review
• /
• v.24 no.2
• /
• pp.19-31
• /
• 2007

Since the concept of "innovation resistance" was introduced as a summary construct for customers not adopting a superior innovation, a lot of researchers have examined to identify the relationship between the innovation resistance and the various innovation and situation variables. This paper addresses the innovation resistance coming from the introduction of a new R&D grant management system(RGMS) in a university. The new RGMS is based on research grant management policies newly accredited by the government, where the central management of the research grants is indispensable. We have surveyed professors and researchers about the introduction of a new RGMS, and empirically analyzed the perceived innovation characteristics and the user characteristics affecting the innovation resistance. The result shows that perceived risk is the most important factor influencing on the innovation resistance.

• Journal of Technology Innovation
• /
• v.17 no.1
• /
• pp.49-67
• /
• 2009

As technological capabilities have enhanced, the patterns of innovation activities of latecomer firms changed to post catch-up mode. The purpose of this research is to analyze the post catch-up innovation patterns of technology-intensive small and medium firms of Korea. The innovation patterns can be divided into three types: the technology deepening innovation type, the new technology based innovation type and the architectural innovation type. The characteristics of the technology deepening innovation type are cumulative technological learning and the integration of new generic technology and existing technologies. The characteristics of new technology based type are the acquisition and revelations of new basic knowledges from former incubating organizations such as large firms and universities. The characteristics of the architectural innovation type are the learning of system architecture knowledge from former organization and interactive learning with user firms. These post catch up innovations also have some general characteristics. They effectively exploited the windows of opportunities which are opened in the middle of technological paradigm change.

• Journal of Korea Technology Innovation Society
• /
• v.16 no.3
• /
• pp.559-581
• /
• 2013

Over the last several decades, the service sector has experienced the rapid growth and will continue to grow in importance, stature and job creation potential. Productivity and innovation activities in the service sector have come under the spotlight as an important element of national economic development. Despite the spotlight, however, not many studies have conducted to investigate the characteristics of innovation activities in the service sector, compared to the rich literature on the innovation in the manufacturing sector. One of the distinguishing features of service innovation is that innovation activities differ markedly across services. Therefore, this research purposes to investigate the characteristics of service innovation focusing on the differences across service types. Here, we restrict our focus to technical innovation such as product and process innovation. For the purpose of investigation, firstly, the KIS (Korea Innovation Survey) dataset in the service sector was adopted, which includes information about patterns of innovation in the Korean firms that provide service offerings. Then, service typology was developed by two criteria - customize-based and facility-based - on the assumption that the characteristics of service innovation activities will vary according the these two criteria; the classifies services into four groups the patterns of innovation activities were analyzed with respect to innovation inputs, process, and outputs. The research findings indicate that each service group has its own patterns of innovation activities, providing valuable information about the state of affairs in service innovation, thereby are expected to help further study technology innovation activity in the service sector.

• STI Policy Review
• /
• v.2 no.2
• /
• pp.1-9
• /
• 2011

Innovation Policy has evolved to solve social problems through technological innovation. Industrial innovation policy promotes technological innovation so that it consolidates industrial competitiveness and aims at economic growth; however, societal innovation policy promotes technological innovation in the social service domain to improve the quality of life and strengthen sustainability. A different policy regime is required because the objectives and directions of societal innovation policy are different from those of industrial innovation policy. This report consolidates the concepts and characteristics of societal innovation policy that suggest policy options.

• Journal of Korean Society for Quality Management
• /
• v.28 no.1
• /
• pp.132-150
• /
• 2000

TQM is considered as a kind management innovation tools. Managers are apt to be embarrassed in face of too many emerging and diminishing faddish management innovation tools. In spite of their expected usefulness, the result of implementation used to be depressing. One of the most important things for successful implementation is to understand their correct usefulness and characteristics. This paper analyzes the characteristics of TQM as innovation tool by comparing TQM with other management innovation tools in terms of criteria derived in view of competitive strategy formulation.