Search results

Graphic-based tag clouds aim to visually represent tag content and tag structure, and then to better represent tagged information for later search. However, few studies have clarified the features among varied visualization approaches involved in graphic-based tag clouds and compared them for the purpose of information search.

After reviewing four kinds of graphic-based tag clouds, an experimental demonstration was conducted in our study to verify how user performs in information search for a general seeking task by using them. Precision ratio, recall ratio, clicks on search and time for search were four variables tested in the experiment. Also, two supplementary tests were respectively carried out to manifest how graphic-based tag clouds contributed to the identification of target tags and tag clusters.

The experimental results showed that compared to tag content visual tag structure was more important to find related tags from tag clouds for information search. In addition, tag clouds that visually represented the semantic relationships within tags could make user more confident about their search result and carry out a shorter learning process during searching, which signified a tag-based information search path when visual elements were applied.

This research is one of the first to illustrate systematically the graphic-based tag clouds and their impacts on information search. The research findings could suggest on how to build up more effective and interactive tag clouds and make proposition for the design of search user interface by using graphic-based tag clouds.

The purpose of this paper is to numerically investigate the flow characteristics and extend the data of friction factor and Reynolds number product of hydrodynamically developing laminar flow in three-dimensional rectangular microchannels with different aspect ratios.

Using a finite-volume approach, the friction factor characteristics of Newtonian fluid in three-dimensional rectangular ducts with aspect ratios from 0.1 to 1 are conducted numerically under no-slip boundary conditions. A simple model that approximately predicts the apparent friction factor and Reynolds number product f_appRe is referenced as a semi-theoretical fundamental analysis for numerical simulations.

The accurate and reliable results of f_appRe are obtained, which are compared with classic numerical data and experimental data, and the simple semi-theoretical model used and all comparisons show good agreement. Among them, the maximum relative error with the classic numerical data is less than 3.9 per cent. The data of f_appRe are significantly extended to other different aspect ratios and the novel values of f_appRe are presented in the tables. The characteristics of f_appRe are analyzed as a function of a non-dimensional axial distance and the aspect ratios. A more effective and accurate fourth-order fitting equation for the Hagenbach's factor of rectangular channels is proposed.

From the reliable data, it is shown that the values of f_appRe and the model can be references of pressure drop and friction factor for developing laminar flow in rectangular channels for researchers and engineering applications.

Competitive advantage is perhaps the most widely used term in strategic management, yet it remains poorly defined and operationalized. This paper makes three observations regarding competitive advantage and conceptually explores the various patterns of relationship between competitive advantage and firm performance. First, competitive advantage does not equate to superior performance. Second, competitive advantage is a relational term. Third, it is context‐specific. This paper examines three patterns of relationship between competitive advantage and firm performance: 1) competitive advantage leading to superior performance; 2) competitive advantage without superior performance, and 3) superior performance without competitive advantage. The ultimate purpose of this article is to help generate a healthy debate among strategy scholars on the usefulness of the competitive advantage construct for our theory building and testing. This paper proposes that we re‐examine the notion of competitive advantage and formally assess its usefulness for theory building and testing in the field of Strategic Management. The notion of competitive advantage has been a cornerstone of our field. As such, research on competitive advantage occupies a central position in strategy literature (e.g., Porter, 1980, 1985; Rumelt, 1984, 1987; Barney, 1986, 1991; Ghemawat, 1986, 1991; Peteraf, 1993; Teece, Pisano, & Shuen, 1997). However, the notion of competitive advantage itself has rarely been systematically addressed and, to date, remains poorly defined and operationalized. Is competitive advantage what it takes to compete, a characterization observed during competition, or an outcome of competition? Is competitive advantage contingent on the competitive situation or is it a more general trait of the firm? Put differently, how is competitive advantage different from competence, strengths and, ultimately, performance? This article, addressing the above questions, makes three observations regarding competitive advantage. First, competitive advantage does not equate to (superior) performance. Second, competitive advantage is a relational construct. Third, competitive advantage is context‐specific. In presenting these three observations, this article proposes suggestions to refine and operationalize “competitive advantage.” It then conceptually explores the relationship between competitive advantage and performance, which is argued to be much more complex than it is currently being treated in the literature. Concluding remarks follow.

The authors seek to crack the model of new retail by outlining the unique business model known as community-based omni-channel and data-enabled ecosystem.

The study’s analyses of Hema cases and other examples reveal a new omni-channel model, a community-based and data-enabled ecosystem model.

The ecosystem targets local customers within a limited geographical range. It is also data-enabled and effectively leverages large-scale data on consumers, store operations, supply chains and logistics to ensure the smooth functioning of the ecosystem.

The authors hope the typology brings new insights to the development of omni-channel retail.

With the development of technology, the application scenarios of mobile robots are becoming more and more extensive, accompanied by a variety of application scenarios suitable and safe path planning algorithms are indispensable for mobile robots.

The purpose of this paper to improve the safety performance of your bot during the execution of tasks. The methods are synthesized in three main areas: setting appropriate safety distances based on the actual radius of the robot, turn penalty reduces the number of turns by applying an additional penalty to the number of turns in a heuristic function and path smoothing is used to improve path reliability by reducing the number of right-angle turns.

A suitable safety distance greatly improves the safety of mobile robots and facilitates their development. Optimization of turns in the path of mobile robots improves the travel efficiency of robots. Enhancing the safety of mobile robots has become a research hotspot for path-planning algorithms.

This paper proposes a path planning scheme for mobile robots with safe distances, which provides readers with a comprehensive and systematic progress of path planning research. It helps readers to get inspiration from enhancing the safety of mobile robots.

The purpose of this paper is to advance a proactive perspective on business exit and develop a typology of exit strategies.

This is a research paper, which builds on extant theoretical and empirical research.

Business exit, along with entry, is an integral part of corporate strategy that a firm could utilize to reshuffle its business portfolio and embrace new opportunities. In today’s changing environment characterized by high uncertainty and high velocity, it becomes increasingly important for firms to manage business exit deliberately and proficiently. The traditional perspective which generally perceives exits as failures or responses to failures is no longer sufficient. A proactive perspective on exit could be advanced to better inform exit research and practice. Adopting the dynamic capabilities approach, this paper develops a typology of four exit strategies – retreat, redeploy, realign, and reconfigure – and examines the essential tasks of these strategies as well as the corresponding dynamic capabilities required for their successful implementation.

The proactive perspective advanced in this paper systematically coalesces and elaborates on extant research and formally advocates the importance and feasibility of proactive exit. The typology offered not only helps integrate the dynamic capabilities approach with exit research but also helps better inform exit practice.

We focus our study on children of immigrants in science, technology, math, and engineering (STEM) fields because children of immigrants represent a diverse pool of future talent in those fields. We posit that children of immigrants may have a higher propensity to prepare for entering STEM fields, and our analysis finds some evidence to support this conjecture. Using the National Education Longitudinal Study (NELS: 88-00) and its restricted postsecondary transcript data, we examine three key milestones in the STEM pipeline: (1) highest math course taken during high school, (2) initial college major in STEM, and (3) bachelor’s degree attainment in STEM. Using individual level NELS data and country-level information from UNESCO and NSF, we find that children of immigrants of various countries of origin, with the exception of Mexicans, are more likely than children of natives to take higher-level math courses during high school. Asian and white children of immigrants are more likely to complete STEM degrees than third-generation whites. Drawing on theories of immigrant incorporation and cultural capital, we discuss the rationales for these patterns and the policy implications of these findings.

Triggered by the extensive use of social media brand communities (SMBCs) in interactive marketing, this article aims to explore how brand connectedness (BC) affects consumer engagement behavior (CEB) in SMBCs.

The research model was verified with the partial least squares structural equation modeling applied to the actual data collected from the web crawling largest microblogging platform in China (Sina Weibo).

Results indicate that BC may positively influence consumer emotions (CEs), eventually leading to engagement behavior in SMBCs. In addition, gender and duration of membership act as vital moderators in the model. One of the most interesting findings is the differences between posting and commenting, although both are CEBs. BC has a more significant effect on commenting than posting, and the mediating effect of CEs between BC and posting behavior is not significant.

This research contributes to the literature on interactive marketing by examining BC in the context of SMBCs, which is under-researched in the literature but is highly pertinent to social media contexts. Moreover, we measure BC through social network analysis for the first time, which not only supports the empirical work but also expands the social network theory and social capital theory. This research also extends the body of knowledge on consumer engagement by investigating the differences between posting and commenting behaviors.

This study aims to report the development and experimental evaluation of two kinds of PANI@semiconductor based photocathodic anti-corrosion coating, for application on stainless steel substrates.

PANI was in situ chemical polymerized on TiO₂ and BiVO₄ particles, and FT-IR and SEM/EDS were used to understand the characteristics and elemental distribution of the composite particles. Composite coatings, which consisted of epoxy, PANI@TiO₂ or PANI@BiVO₄ and graphene, were prepared on the 304L stainless steel. Photoelectrochemical response measurement, electrochemical tests and immersion tests were used to assess the anti-corrosion performance of the prepared coatings in 45°C 3.5 wt.% NaCl solution. And the corrosion protection mechanism was further explained by combining with surface observation.

The photoelectrochemical response tests revealed the good photocathodic effect of the coatings, and the reversible oxidation-reduction properties of PANI (pseudocapacitive effect) leading to the repeated usage of the coatings. Consequently, the anti-corrosion mechanism of the composite coating is attributed to the physical barrier effect of the coating, the anodic protection effect of PANI and the photocathodic and energy store effect.

These kind coatings could prevent corrosion from day to night for stainless steel, which has great engineering application prospects on stainless steel corrosion protection.

This paper advances an integrative framework on the determinants of competitive advantage in global competition. It coalesces the disparate array of literature on competitive advantage in international management and strategic management. The integrative framework hinges on four general categories of factors – creation and innovation, competition, cooperation, and co‐option – and three generic types of competitive advantages – ownership‐based, access‐based, and proficiency‐based. Specific determinants of competitive advantage are juxtaposed and presented within the proposed framework. Such a framework is expected to enhance out understanding of global competitive advantage.