Technical efficiency and impact of environmental regulations in farrow-to-finish swine production in Taiwan

This article demonstrates how technical efficiency and the impact of environmental regulations of Taiwanese farrow‐to‐finish swine production can be estimated in the presence of undesirable outputs. The issue of measuring technical efficiencies while considering undesirable outputs has been addressed by past studies. But the proper method of including undesirable outputs has always been a subject of debate. This article develops a data envelopment analysis (DEA)‐based model that includes undesirable outputs. The technologies of desirable output production and undesirable output control are considered simultaneously. This allows one to transform undesirable output into desirable output, whereby a traditional Shephard distance function can be used to measure technical efficiencies. An approach to measuring the impacts due to environmental regulations is then derived. Empirical results show that larger farms are more technically efficient than small‐sized farms, but no clear conclusions can be reached for the measures of regulatory impact among farms with different sizes. On average, the sample farms incurred an opportunity cost due to environmental regulations equivalent to 9.8% of market value. Opportunity costs rise with efficiency.     

Which food delivery platforms are winning the restaurant food delivery wars? Analysis from a consumer perspective

The emergence of the COVID-19 pandemic dramatically lowered the foodservice industry's income overnight. Conversely, the practical measure of remaining at home to deal with the pandemic's impact has boosted the online food delivery business. In this study, a consumer perspective was adopted and an adapted version of the extended unified theory of acceptance and use of technology (UTAUT2) was used alongside multi-attribute decision-making methods (DEMATEL, DANP and modified VIKOR) to construct a model for evaluating and selecting a food delivery platform (FDP). The results of the INRM (influential network relation map) revealed that the first dimension to be improved upon and adjusted should be security, followed by effort expectancy, performance expectancy, social influence, facilitating conditions, hedonic motivation and habit. The DANP influential weights suggested that habits were the most important dimension, followed by hedonic motivation, while performance expectancy was the least important. According to the results of the gap analysis, the first dimension that required improvement was performance expectancy, followed by effort expectancy, facilitating conditions, security, social influence, habits and hedonic motivation. It is expected that the findings of this study can serve as a reference for consumers selecting FDPs to better satisfy their dining needs. The novel model is discussed in terms of theoretical, practical and managerial implications.     

Information diffusion and new product consumption: A bass model application to tourism facility management

This article applies models to measure and to understand how information diffusion influences tourists' consumption patterns. The study uses administrative data on a new festival's attendance and advertising. Bass's [Bass FM. A new product growth for model consumer durables. Manage Sci 1969;15(5):215-227] model and a modified version [Horsky D, Simon LS. Advertising and the diffusion of new products. Mark Sci 1983;2(1):1-18] to allow for advertising's effect. Results imply effectiveness of front loaded advertising. This result is due to increasing purchases that result from word-of-mouth information diffusion. However, a model with an effect of advertising is accepted as well as a model with no consideration of advertising budget. Examination of consistency and conceptual issues with models raises the need for models that are more realistic for the tourism product. A specific concern is developing models appropriate to analysis of attendance at a limited-duration innovative event (e.g., new product) held at a host to impact longer-term attendance of the host.     

Transfer mechanisms and knowledge transfer: The cooperative competency perspective

This study examines the role of transfer mechanisms, including replication and adaptation, in knowledge transfer from the cooperative competency perspective. This study tests the hypotheses in a sample of 120 knowledge transfer cases. The results indicate that transfer mechanisms relate positively to cooperative competency with partnering firms, which then improves knowledge transfer performance. The results provide evidence that cooperative competency plays a mediating role between transfer mechanisms and knowledge transfer performance. The findings of this study contribute to the theoretical development of a conceptual model for explaining the interrelationships among transfer mechanisms, cooperative competency, and knowledge transfer performance. The empirical evidence of the Sobel test in line with Baron and Kenny's procedure and bootstrap analysis supports the process-oriented view and indicates that cooperative competency mediates the effects of transfer mechanisms on knowledge transfer performance. Finally, this study discusses the managerial implications and highlights future research directions.     

The impact of liquidity on option prices

This study illustrates the impact of both spot and option liquidity levels on option prices. Using implied volatility to measure the option price structure, our empirical results reveal that even after controlling for the systematic risk of Duan and Wei ( 2009 ), a clear link remains between option prices and liquidity; with a reduction (increase) in spot (option) liquidity, there is a corresponding increase in the level of the implied volatility curve. The former is consistent with the explanation on hedging costs provided by Cetin, Jarrow, Protter, and Warachka ( 2006 ), whereas the latter is consistent with the “illiquidity premium” hypothesis of Amihud and Mendelson ( 1986a ). This study also shows that the slope of the implied volatility curve can be partially explained by option liquidity. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark