Jacob Wood

Information technology management domain: emerging themes and keyword analysis

By employing the social network analysis technique, this study decomposed author and title keyword networks of the information technology management domain formed by 351 outlets, 914 institutions, 64 countries, 1913 authors, and thousands of keywords. The network and ego level properties—such as, degree centralities, density, components, and degree distribution—suggest that the keyword network exhibits power law distribution: a few popular keywords or themes are frequently used by follow-on studies. The study sheds light on the emerging and fading themes in the domain. In light of the analysis some important implications are discussed.

International trade negotiation analysis: network and semantic knowledge infrastructure

This study utilizes the social network analysis technique to analyze and better understand the semantic and knowledge networks that are associated with the field of international trade and more specifically international free trade agreements. This study builds on the research that currently exists in the field of international trade negotiation by using the SNA technique to construct, visualize, and investigate the International Trade networked knowledge infrastructure by analyzing 3074 publications, 1054 journal sources, 4047 authors, 1516 organizations, 87 countries and keywords associated with this field of research. The network and ego level properties—such as, degree centralities, density, components, structural holes, and degree distribution—suggest that the international trade co-authorship network analyzed is relatively fragmented. The knowledge and sematic networks exhibit power law distribution in which the incoming nodes and links prefer to attach to the nodes that are already well connected. The study also sheds light on the emerging and fading themes in the domain.

Social business adoption: an empirical analysis

No longer simply a fad, social media-based technologies are used by organizations to create innovative ideas that can enhance both a firm’s product offerings and the ways in which it conducts its business activities. Despite its many apparent uses and benefits, there are several barriers associated with their use, including legal, security, and privacy risk. Grounded in the technology adoption theory, the purpose of this study is to understand how businesses perceive the benefits of and barriers to social media and its effects on adoption. Employing the partial least squares method, a research model was developed and tested via a survey of 117 senior employees from organizations in South Korea and New Zealand. The results suggest that the benefits due to social media, such as brand affinity, sales opportunities, and customer support, positively affect social business adoption; whereas a lack of social media strategy and security concerns negatively affect social business adoption. The results of the study have important implications for business managers and researchers.

Work engagement in organizations: a social network analysis of the domain

This study has used the social network analysis technique to effectively decompose the structure of the author, institution, country, and journal networks of the work engagement domain. Using articles from the Web of Science database, 1406 publications published in SCI, SCI-E, SSCI, and A&HCI outlets between 1990 and 2015 period were extracted and included in the analysis. Following an examination of this domain, we found that the network is relatively un-fragmented with a strong core that contains one large community of authors. This study also found evidence among the collaboration networks to suggest the power law distribution exists in the author and institutional networks in which the incoming nodes and links prefer to attach to the nodes that are already well connected. The study also sheds light on both the hidden network collaboration among authors, countries, and within the work engagement domain.

Multivariate multiple regression modelling for technology analysis

ABSTRACT Technology analysis is important for technology management areas such as research and development strategy and new product development. So many studies on technology analysis have been used across a diverse array of fields. Most of these were based on patent analysis, which analyses patent documents using text mining and statistics. The studies on conventional patent analyses constructed models consisting of various independent variables (technologies) and one dependent variable. But in reality, we have to consider a model that includes several dependent variables at the same time, because most technologies influence each other. In this paper, we propose a methodology for patent analysis that reflects the various response technologies simultaneously. We perform multivariate multiple regression modelling in order to efficiently conduct our technology analysis. To show how our modelling can be applied to realistic context, we carry out a case study using the patent documents related to three-dimensional printing technology.

The application of the Choquet integral expected utility in international trade

In this paper, we consider the discrete Choquet integral with respect to a fuzzy measure and define the Choquet expected utility as representing an act that utilizes for HS product codes to demonstrate the level of animal product exports between Korea and selected trading partners for years 2010-2013. We also consider the discrete interval-valued Choquet integral with respect to a fuzzy measure and define the interval-valued Choquet expected utility as representing an act that assesses for animal product exports between Korea and trading partners for HS product Codes i=1,2,3,4,5. In particular, we investigate the following applicaitons: (1) the ranking and the level of contribution, from an economic value perspective, for animal exports with HS product code i=1,2,3,4,5 between Korea and selected trade partners for years 2010-2013 and (2) the ranking and the level of contribution from an exonomic value perspective for total animal product exports between Korea and its trade partners for both years 2010-2013 and the respective IIS product codes i=1,2,3,4,5.

An Industrial Sector Analysis of the Factors Influencing FTA Negotiation Outcomes

This study examines the way in which economic and non-economic factors impact the outcome of international FTA negotiations from an industrial sector perspective. This study demonstrates that the result of negotiations, as measured by the share of duty free tariff lines, is significantly affected by both non-economic and economic factors. The results from the study showed that five of the eight variables tested were statistically significant, of which two were non-economic (union membership and ruling party ideology) and three were economic (import penetration, industrial sector unemployment rate and the most favoured nation rate of duty free tariff lines) in nature. This empirical study also draws a number of conclusions as to the implications of these findings.

TBT and SPS impacts on Korean exports to China: empirical analysis using the PPML method

Since diplomatic relations were established between China and Korea, the two countries have expanded their relationships, especially in trading commodities and services. However, in recent years, as tariff levels have fallen, China has sought to implement other protectionist mechanisms. The use of non-tariff measures has added another dimension to international trade activities that need to be better understood. The paper analyses the impacts that two forms of non-tariff measures, technical barriers to trade (TBT) and sanitary and phytosanitary measures, have on Korean exports to China. To measure the impacts, we use an adapted version of the gravity model and the Poisson pseudo-maximum likelihood method. The results show that Chinese sanitary and phytosanitary measures, estimated using both the coverage ratio and the frequency index, have positive correlations with Korean agricultural exports; however, Chinese TBT measures, when estimated by the coverage ratio, were found to depress Korean manufacturing exports and exports as a whole. However, using the frequency index, Chinese TBT measures were found to have a statistically insignificant negative impact on Korean exports to China.

Knowledge Networks of the Information Technology Management Domain: A Social Network Analysis Approach

Using the social network analysis technique, we decomposed the knowledge networks of the information technology management (ITM) domain. We included a total of 893 papers published during the 1995-2014 period in the network analysis. From this domain, the network and ego level properties—such as, degree centralities, density, components, structural holes, and degree distribution—suggest that, unlike the other information systems communities, the ITM is a community with a unique character and distinct collaboration patterns. The results show that the ITM knowledge networks are fragmented and exhibit a power law distribution in which incoming nodes and links prefer to attach to the nodes that are already well connected. We discuss several implications that arise from the network configuration that could aid the future development of the ITM domain.