A Note on Allen’s Arc Elasticity with Arithmetic, Geometric and Harmonic Means

Discussion and debate on the application of Allen??s arc elasticity has continued into the 21st century. This note demonstrates three points. First, perceived differences between Allen??s geometric mean elasticity and a constant demand elasticity based on an assumed isoelastic demand curve are negligible for small changes in price and quantity, which comprise the vast majority of such changes. Second, in some cases of rapid security or commodity price movements, the harmonic mean may provide the most accurate elasticity estimates across measures of central tendency. Third, because the arithmetic and harmonic means serve as bounds for the geometric mean, an elasticity based on the geometric mean may be considered a prudent choice among these three on this basis alone.     

Australian consumer attitudes to health claim – food product compatibility for functional foods

This study with Australian consumers investigated how appealing different health claims combined with particular food carriers were to Australian consumers, and compared the results of a similar study with Dutch consumers. 149 shoppers considered up to 30 different food concepts, rating how ‘attractive’, ‘believable’, and ‘new and different’ they found each concept and their ‘intention to try’. Each variable was significantly related to intention to try (p < 0.001) and together explained 56% of the intention score. Claims and carriers independently had a significant effect on ratings of attractiveness and intention to try but, unlike the Dutch study, the carrier was a more important predictor of intention to purchase than the claim. Implications for regulation of health claims for food are discussed.     

Social capital and creativity in R&D project teams

The existing research contributes to our understanding about the value of social capital in a wide range of social science disciplines; however, it does not well address the role of social capital in creativity for research and development (R&D) project teams in a given context. Using a sample of 54 R&D project teams in high-technology firms of Taiwan, we examined the impacts of social capital on creativity of R&D project teams from an intra-team perspective. Results of factor analysis revealed four factors extracted from the concept of social capital, namely social interaction, network ties, mutual trust, and shared goals. Findings suggested that social interaction and network ties had significant and positive impacts on creativity of R&D project teams, but mutual trust and shared goals did not. Managerial implications for managing social capital in R&D project teams are discussed.     

An International Asset Pricing Model with Time-Varying Hedging Risk

This paper employs a two-factor international equilibrium asset pricing model to examine the pricing relationships among the world's five largest equity markets. In addition to the traditional market factor premium, a hedging factor premium is included as the second factor to explain the relationship between risks and returns in the international stock markets. Moreover, a GARCH parameterization is adopted to characterize the general dynamics of the conditional second moments. The results suggest that the additional hedging risk premium is needed to explain rates of return on international equities. Furthermore, the restriction that the coefficient on the hedge-portfolio covariance is one smaller than the coefficient on the market-portfolio covariance can not be rejected. This suggests that the intertemporal asset pricing model proposed by Campbell (1993) can be used to explain the returns on the five largest stock market indices.     

Investigating the factors influencing small online vendors’ intention to continue engaging in social commerce

ABSTRACT

This study investigates the variables that determine small online vendors’ intentions to continue engaging in social commerce. Based on the theory of planned behavior (TPB) and social exchange theory (SET), eight hypotheses were developed to (1) identify the antecedents that influence small online vendors’ attitudes toward social commerce, subjective norms, and perceived behavioral control; and (2) examine the causal relationships among the variables with respect for continuous usage intention. A questionnaire survey was used to collect data on a sample of 166 small online vendor managers and employees. Partial least squares (PLS) was used to validate the proposed model. The findings show that social exchange factors (perceived benefits and commitment) significantly affect small vendors’ attitudes toward social commerce. The results further confirm the validity of TPB, i.e., attitude and perceived behavioral control have significant impacts on continuous usage intention in relation to social commerce. The findings of this study provide important insights into the antecedents of attitude for academics and practitioners, application of social computing in commerce for engaging in service innovation, and have the potential to contribute to the development of effective online marketing strategies.     

Integrating circular business models and development tools in the circular economy transition process: A firm‐level framework

Along with the concept of circular economy growing worldwide, circular business models (CBMs) have been receiving ever greater attention in both the business sector and academia. However, the existing literature on the CBM is scattered and fragmented; this study offers an integrated firm‐level framework to link CBM typologies, the circular economy transition process, and relevant tools for CBM development and clarifies the positioning and roles of those tools in the process. In response to the fragmentation issue, results of this study are presented in three subtopics: (a) CBM typologies and archetypes, (b) transition guidelines, and (c) major analytical tools for CBM research. The roles and functions of CBM typologies and tools were integrated in different stages of the transition process, and the challenges and shortfalls for CBM research in the various stages were identified. This work lays the foundation for future operational studies.     

A systematic mapping study of process mining

This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.     

Linking organisational critical activities with business typology

This research aims to discover the connection between strategic typologies and organisational critical activities, and focuses on the organisational critical activities in three functional areas in high-tech organisations: ‘research and development’, ‘marketing’ and ‘manufacturing’. Research methods used include semi-structured interviews with 11 firms and 15 interviewees. And 34 participants were surveyed with analytic hierarchy process (AHP) questionnaires in Taiwan. The results show that organisations adopt different typologies tend to perform organisational critical activities differently to achieve success. Prospectors place more emphasis on ‘research and development’ related activities, Defenders focus on activities of ‘manufacturing and production related fields’, and Analysers care more about activities in ‘marketing related fields’. Defenders tend to pay more attention to activities relating to the manufacturing domain than Prospectors and Analysers. This research establishes a linkage between organisational critical activities and corporate strategy, and it could be useful for high-tech organisations to better manage their strategies.     

Improving innovation efficiency of emerging economies: The role of manufacturing

The purpose of this study is to empirically examine the role of manufacturing in improving innovation efficiency of emerging economies. Emerging economies are developing innovations to promote their industries toward high-technology sectors to facilitate global competitiveness. Nevertheless, the role of manufacturing is often neglected, which can result in low efficiency in the innovation process. This study constructed a three-stage innovation model that consists of human capital cultivation, manufacturing development, and innovation production to stress and verify the importance of manufacturing. The experimental results suggest that manufacturing development was a key factor affecting innovation efficiency. A performance improvement strategy map was provided to improve each country's innovation efficiency.