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Article
Publication date: 26 November 2024

Ying-Kai Liao, Huseyin Fadullah Gungor, V.G. Girish, Jinyoung Lee and Wann-Yih Wu

This study aims to analyze the push and pull factors and its relationship with the theory of planned behavior about non-vegetarians’ intentions to buy plant-based meat products…

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Abstract

Purpose

This study aims to analyze the push and pull factors and its relationship with the theory of planned behavior about non-vegetarians’ intentions to buy plant-based meat products. Previous studies seldom explored the intention of non-vegetarians’ intention to buy plant-based meat products.

Design/methodology/approach

An online survey was conducted among 447 non-vegetarians to investigate these relationships. Partial least squares-structural equation modeling (PLS-SEM) was employed to scrutinize the data.

Findings

Among the push factors product safety and flavor positively influence consumers’ attitude, whereas environmental protection and flavor positively influence subjective norms. Animal welfare, environmental protection and flavor positively influence perceived behavioral control. Among the pull factors, curiosity, product nutrition and price positively influence consumer attitudes toward plant-based meat products. Curiosity and price also positively influence subjective norms, but only product nutrition positively influences perceived behavioral control. On the other hand, the results also confirm that non-vegetarian customers' intentions to buy plant-based meat products is primarily influenced by attitude and perceived behavioral control, whereas subjective norms do not influence the intention to buy plant-based meat products. This study also reveals that there exists a moderating influence from perceived behavioral control between attitude and intention to buy plant-based meat products, whereas the moderating effect of perceived behavioral control on subjective norms and intention is insignificant.

Originality/value

The findings of this study offer practical recommendations for persuasive marketing strategies associated with plant-based meat substitutes.

Details

British Food Journal, vol. 127 no. 1
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 5 March 2021

Adriana Andrea Amaya, Wann-Yih Wu and Ying-Kai Liao

Although previous studies noted the importance for organizations in establishing an innovation strategy, few have examined innovation orientation as a multidimensional knowledge…

517

Abstract

Purpose

Although previous studies noted the importance for organizations in establishing an innovation strategy, few have examined innovation orientation as a multidimensional knowledge configuration. Therefore, this study draws on the valuable theoretical underpinnings of the resource-based view and information processing theory to examine the mechanism through which an organization's innovation orientation (IO) and team unlearning (TU) can impact new product development (NPD) success.

Design/methodology/approach

A causal model was developed in order to analyze the role of innovation orientation and team unlearning on NPD success. This proposed model and several hypotheses were gauged using data from 255 NPD team members from Taiwanese high-tech and traditional companies.

Findings

The results indicate that both IO and TU relate to outcomes. Specifically, this study demonstrates that it is insufficient that firms simply establish the configurations needed to enhance their IO and TU, firms also need to find out the correct mechanism to enhance NPD success. The relationships between IO, TU and NPD success were fully mediated by team information processing.

Originality/value

This report sheds light on the importance of innovation orientation and team unlearning in today's NPD process and uncovers the underlying mechanism through which IO and TU contribute to NPD success. It also offers precise advice for the assessment of management of team information-processing to boost the performance of new products.

Details

European Journal of Innovation Management, vol. 25 no. 3
Type: Research Article
ISSN: 1460-1060

Keywords

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Article
Publication date: 28 January 2014

Wann-Yih Wu and Ying-Kai Liao

This study purposed an integrated DEA-BSC model to evaluate the operational efficiency of airlines. To adapt this model, 38 major airlines in the world were selected to assess…

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Abstract

Purpose

This study purposed an integrated DEA-BSC model to evaluate the operational efficiency of airlines. To adapt this model, 38 major airlines in the world were selected to assess their relative performance.

Design/methodology/approach

An empirical study is employed using a cross-sectional research design. The operational and financial data of 38 leading airlines companies were collected from annual reports and business reports. Specifically, this study integrated the concepts of balanced scorecard (BSC) and data envelopment analysis (DEA) and incorporated seven leading variables and four lagging variables from BSC to implement DEA.

Findings

By using the leading and lagging variables to implement DEA, this study not only assessed the efficiency frontiers, input slack, output slacks, and benchmarking learning partners of 38 airlines, but also illustrated how leading indicators are related and influence lagging indicators. In particular, the study results indicated that airlines with excellent performance in the efficient frontiers tended to perform better in energy, capital, and other operating costs.

Research limitations/implications

This study presented a DEA-BSC model to integrate the concepts of BSC into DEA. The empirical results showed that the model is more advanced than the capabilities of individual DEA and BSC. This model could also eliminate the faults of each one. Due to the cross-sectional research design of this research, future research should develop the longitudinal study to identify the time series of the influences of leading factors on lagging factors.

Practical implications

This study offered an integrated model that incorporated the concepts of BSC and DEA. The leading and lagging factors of BSC were adopted to the evaluation of operational performance of airlines along with DEA. Therefore, BSC has served as the compliment of DEA. Using the DEA-BSC results, such as the efficiency frontiers, the amount of slacks, and benchmark learning partners, business executives could develop their improvement strategies.

Originality/value

Since none of previous studies have integrated BSC and DEA to assess the operational efficiency of the airline industry, the results of this study could serve as a baseline for further academic validations, the results could also be very useful for the executives of airline companies to allocate their resources for further improvement.

Details

Industrial Management & Data Systems, vol. 114 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

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