A hidden cost of strategic alliances under Schumpeterian dynamics

Recently, proponents of interfirm R&D collaboration have emphasized its benefits. We develop a dynamic model of Schumpeterian competition to examine whether such collaboration is indeed beneficial in the long run. We find that interfirm R&D collaboration is more likely to be a losing strategy when partners form alliances mainly to reduce R&D costs. On the other hand, partners collaborating to seek synergy by accessing each other's complementary assets/capabilities are more likely to be successful. Our study suggests that firms should not use strategic alliances merely to reduce R&D costs in a catch-up situation or to avoid head-on competition with rivals.     

Comparison of crossover and jab step start techniques for base stealing in baseball

Base stealing is an important tactic for increasing the chance of scoring in baseball. This study aimed to compare the crossover step (CS) and jab step (JS) starts for base stealing start performance and to clarify the differences between CS and JS starts in terms of three-dimensional lower extremity joint kinetics. Twelve male baseball players performed CS and JS starts, during which their motion and the force they applied to the ground were simultaneously recorded using a motion-capture system and two force platforms. The results showed that the normalised average forward external power, the average forward–backward force exerted by the left leg, and the forward velocities of the whole body centre of gravity generated by both legs and the left leg were significantly higher for the JS start than for the CS start. Moreover, the positive work done by hip extension during the left leg push-off was two-times greater for the JS start than the CS start. In conclusion, this study has demonstrated that the jab step start may be the better technique for a base stealing start and that greater positive work produced by left hip extension is probably responsible for producing its larger forward ground reaction force.     

The kinematic differences between skill levels in the squash forehand drive,volley and drop strokes

ABSTRACT

Knowledge of the kinematic differences that separate highly skilled and less-skilled squash players could assist the progression of talent development. This study compared trunk, upper-limb and racket kinematics between two groups of nine highly skilled and less-skilled male athletes for forehand drive, volley and drop strokes. A 15-camera motion analysis system recorded three-dimensional trajectories, with five shots analysed per participant per stroke. The highly skilled group had significantly (p < 0.05) larger forearm pronation/supination range-of-motion and wrist extension angles at impact than the less-skilled. The less-skilled group had a significantly more “open” racket face and slower racket velocities at impact than the highly skilled. Rates of shoulder internal rotation, forearm pronation, elbow extension and wrist flexion at impact were greater in the drive stroke than in the other strokes. The position of the racket at impact in the volley was significantly more anterior to the shoulder than in the other strokes, with a smaller trunk rotation angular velocity. Players used less shoulder internal/external rotation, forearm pronation/supination, elbow and wrist flexion/extension ranges-of-motions and angular velocities at impact in the drop stroke than in the other strokes. These findings provide useful insights into the technical differences that separate highly skilled from less-skilled players and provide a kinematic distinction between stroke types.     

Effects of arch-support orthoses on ground reaction forces and lower extremity kinematics related to running at various inclinations

ABSTRACT

While foot orthoses are commonly used in running, little is known regarding biomechanical risk potentials during uphill running. This study investigated the effects of arch-support orthoses on kinetic and kinematic variables when running at different inclinations. Sixteen male participants ran at different inclinations (0°, 3° and 6°) when wearing arch-support and flat orthoses on an instrumented treadmill. Arch-support orthoses induced longer contact time, larger initial ankle dorsiflexion, maximum ankle eversion, and knee sagittal range of motion (RoM) (p < 0.05). As incline slopes increased, vertical impact peak and loading rate, stride length, and ankle coronal RoM decreased, but contact time, stride frequency, initial ankle dorsiflexion and inversion, maximum dorsiflexion, initial knee flexion, and ankle sagittal RoM increased (p < 0.05). Furthermore, knee sagittal RoM was lowest when running at an inclination of 3°. The interaction effect indicated that in arch-support condition, participants running at 6° induced higher maximum ankle eversion than running at 0° (p < 0.05), while no differences were found in flat orthosis condition. These findings suggest that the use of arch-support orthoses would influence running biomechanics that is related to injury risks. Running at higher inclination led to more alterations to biomechanical variables than at lower inclination.     

The Role of Centering for Interaction of Level 1 Variables in Multilevel Structural Equation Models

This article examined the role of centering in estimating interaction effects in multilevel structural equation models. Interactions are typically represented by product term of 2 variables that are hypothesized to interact. In multilevel structural equation modeling (MSEM), the product term involving Level 1 variables is decomposed into within-cluster and between-cluster random components. The choice of centering affects the decomposition of the product term, and therefore affects the sample variance and covariance associated with the product term used in the maximum likelihood fitting function. The simulation study showed that for an interaction between a Level 1 variable and a Level 2 variable, the product term of uncentered variables or the product term of grand mean centered variables produced unbiased estimates in both Level 1 and Level 2 models. The product term of cluster mean centered variables produced biased estimates in the Level 1 model. For an interaction between 2 Level 1 variables, the product term of cluster mean centered variables produced unbiased estimates in the Level 1 model, whereas the product term of grand mean centered variables produced unbiased estimates for the Level 1 model. Recommendations for researchers who wish to estimate interactions in MSEM are provided.     

How can we assess and evaluate the competitive advantage of a country’s human resource development system?

The purpose of this study was to develop an index to assess and evaluate the competitive advantage of a country’s human resource development system. Based on an extensive literature review, a theoretical model of a human resource development system at the national level (named National Human Resource Development: NHRD) was constructed. The model consists of four factors—supply conditions, demand conditions, environment, and supporting systems—and NHRD system competitiveness was measured by the cumulative sum of a country’s achievement in each of these four factors. The four factors were divided into 10 sub-categories, and 45 indicators were selected based on criteria such as relevance, international comparability, reliability, timeliness, and accessibility. Finally, by using the Analytic Hierarchy Process, the individual weights of the 45 indicators were calculated. In addition, the relationships between the NHRD competitiveness scores of OECD member countries and other relevant variables, including GDP per capita and the scores from other national competitiveness studies, were analyzed to examine the validity of the index.     

Explicitly integrating MeSH thesaurus help into health information retrieval systems: An empirical user study

When consumers search for health information, a major obstacle is their unfamiliarity with the medical terminology. Even though medical thesauri such as the Medical Subject Headings (MeSH) and related tools (e.g., the MeSH Browser) were created to help consumers find medical term definitions, the lack of direct and explicit integration of these help tools into a health retrieval system prevented them from effectively achieving their objectives. To explore this issue, we conducted an empirical study with two systems: One is a simple interface system supporting query-based searching; the other is an augmented system with two new components supporting MeSH term searching and MeSH tree browsing. A total of 45 subjects were recruited to participate in the study. The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question–answer performance, even though we did not find users spend more time on the augmented system. The two new MeSH help components played a critical role in participants’ health information retrieval and were found to allow them to develop new search strategies. The findings of the study enhanced our understanding of consumers’ search behaviors and shed light on the design of future health information retrieval systems.     

“The Paradox of Narcissus and Echo in the Instagram Pond” in Light of the Selfie Culture from Freudian Evolutionary Psychology: Self-Loving and Confident but Lonely

Drawing from the Freudian evolutionary psychology of narcissism and the literature on social media popularity, this article addresses the central theme revolving around “The Paradox of Digital Narcissists in the Instagram Pond” in light of the selfie/groupie culture. A cross sectional survey was conducted among 398 Instagram users (236 males and 162 females) recruited from Amazon M-Turk. Structural equation modeling analyses using Mplus 7.4 propose an integrative model of narcissism and reveal dynamic relationships among users’ narcissism, self-discrepancy, self-confidence, intrasexual competition for mates, need to belong, need for popularity, loneliness, number of selfie/groupie posts on Instagram, and number of Instagram followers/followings.