A semantic similarity analysis of Internet of Things

ABSTRACT

Internet of Things (IoT) has gradually become one of the most popular topics among both academia and industry, and it is considered as a crucial part of future Internet. However, very few objective and systematic review was conducted to address high-value articles and summarize the intellectual components from journals for examination and identification of the intellectual core and structure of IoT. Therefore, this study conducted a co-citation analysis for IoT by using 68 high-value articles retrieved within 1457 source papers from Web of Science online database. By using factor analysis, ten critical factors were identified, which includes (1) frameworks and challenges of IoT; (2) current situation of IoT in different applications; (3) interactions of IoT; (4) security issues of IoT; (5) application domains of IoT; (6) data management of IoT; (7) IoT in product lifecycle management; (8) enabling technologies of IoT; (9) IoT in smart cities; (10) IoT in recommender systems. Hierarchical Custer Analysis and Multidimensional Scaling were used to graphically illustrate the intellectual elements of IoT. In the current findings, fundamental elements of IoT including architectural framework, enabling technologies, network communication, data management, and IoT interactions were discussed with a series of challenges for wider and deeper IoT applications.     

RMB Internationalization and Its Implications for Financial and Monetary Cooperation in East Asia

This paper emphasizes the importance of the denomination of financial assets rather than trade invoicing as a long-term determinant of an international currency. China needs to liberalize and open its financial system and make the RMB fully convertible, and to adopt a moreflexible exchange rate system to speed up its currency internationalization, for which China could follow either a global or regional approach. The global approach is a riskier and more unpredictable strategy because it would demand a scope and timeframe of financial liberalization that is likely to be beyond China＇s institutional capacity over the coming decade. There are two options that could be taken in following the regional approach. One is creating an ASEAN＋ New 3 （the Chinese Mainland, Hong Kong, and Taiwan） RMB bloc and the other is liberalizing China＇s financial industries and internationalizing the RMB by playing a leading role in East Asia＇s economic integration within the framework of ASEAN＋ 3, This paper concludes that the latter is a more realistic and effective approach for China.     

Coauthorship in academic journals: Implications for international collaboration and alliances

Based on the knowledge-based resource theory of alliance, we analyze coauthorship collaboration. We find that (1) collaboration increases the impact of published articles; (2) articles with nonalphabetical author listing are associated with fewer citations; and (3) barriers to transferring knowledge lowers an article's impact, especially if authors do not take ownership over the article. Coauthors who do not act as if they were senior authors undermine coauthorship collaboration, resulting in lower citations on the article. Our results suggest that articles with alphabetical author listing receive more citations, questioning the norm in journals of some disciplines that advocate nonalphabetical author listing.     

Earnings management and corporate spinoffs

In this study we examine whether firms manage earnings before pursuing corporate spinoffs. Using a sample of 226 completed spinoffs between 1985 and 2005, we find strong evidence of pre-spinoff earnings management among parent firms involved in non-focus-increasing spinoffs. We also find higher levels of earnings management among parent firms that have a higher level of information asymmetry prior to spinoff announcements. Our regression results show a significant negative relation between income-increasing earnings management and the announcement period returns for non-focus-increasing spinoffs. In addition, a significant positive relation is found between income-increasing earnings management and the announcement period returns for focus-increasing spinoffs. The results suggest that income-increasing earnings management sends out negative signals about non-focus-increasing spinoffs but positive signals about focus-increasing spinoffs.     

A micro,econometric investigation of choice of technology

This paper reports on a micro study of the determinants of technological choice utilizing a sample of observations at the man-machine level from operating plants. The large sample size permits econometric modelling - based on engineering and process analytic principles - of the production relationships involved. It also allows statistical testing of hypotheses. Among the determinants analyzed in the context of differentiated inputs and outputs are policies affecting prices on the factor and product markets. The particular case examined is the choice between imported and locally made looms for cotton textile weaving in Korea. However, methodological concerns are given equal weight in the discussion.     

Work Design–Related Antecedents of Turnover Intention: A Multilevel Approach

Previous research on employee‐turnover intention has focused mostly on a single level of analysis. This multilevel study of 1,149 employees and 144 managers from a 21‐store Taiwanese retail home improvement chain demonstrated that individual and store‐level factors were significantly associated with employee‐turnover intention. Job characteristics explain within‐store variance. In addition to age and tenure similarity among employees, transformational leadership and compensation explain between‐store variance. Theoretical and practical implications of the research are also discussed.     

Estimating Long-term Trends in Tropospheric Ozone Levels

This paper develops Bayesian methodology for estimating long-term trends in the daily maxima of tropospheric ozone. The methods are then applied to study long-term trends in ozone at six monitoring sites in the state of Texas. The methodology controls for the effects of meteorological variables because it is known that variables such as temperature, wind speed and humidity substantially affect the formation of tropospheric ozone. A semiparametric regression model is estimated in which a nonparametric trivariate surface is used to model the relationship between ozone and these meteorological variables because, while it is known that the relatinship is a complex nonlinear one, its functional form is unknown. The model also allows for the effects of wind direction and seasonality. The errors are modeled as an autoregression, which is methodologically challenging because the observations are unequally spaced over time. Each function in the model is represented as a linear combination of basis functions located at all of the design points. We also estimate an appropriate data transformation simulataneously with the functions. The functions are estimated nonparametrically by a Bayesian hierarchical model that uses indicator variables to allow a non-zero probability that the coefficient of each basis term is zero. The entire model, including the nonparametric surfaces, data transformation and autoregression for the unequally spaced errors, is estimated using a Markov chain Monte Carlo sampling scheme with a computationally efficient transition kernel for generating the indicator variables. The empirical results indicate that key meteorological variables explain most of the variation in daily ozone maxima through a nonlinear interaction and that their effects are consistent across the six sites. However, the estimated trends vary considerably from site to site, even within the same city.