A Multilevel Model of Environmentally Specific Social Identity in Predicting Environmental Strategies: Evidence from Technology Manufacturing Businesses

Transforming the Emotional Intelligence of the Feeders in Agribusinesses into the Development of Task Performance and Counterproductive Work Behaviors during the COVID-19 Pandemic

Simple Summary

This research proposes a psychological model to describe how leadership can deal with the work burnout of feeders in livestock production agribusinesses to solve the important problems of mental health and well-being, thereby increasing the sustainable work of feeders. The empirical evidence comes from 240 livestock feeders from 80 Taiwanese livestock production agribusinesses. The research results can push the literature of emotional intelligence and implementation methods to livestock production agribusinesses.

Abstract

The present research poses a novel multilevel model to describe how transformational leadership can significantly affect task performance and counterproductive work behavior through intermediary effects of emotional intelligence, work engagement, and work burnout. The empirical data is from 240 livestock feeders from 80 Taiwanese livestock production agribusinesses. The empirical results demonstrate that leadership could indeed transform the emotional intelligence of livestock feeders into positive task performance and negative counterproductive work behavior. The research results can provide an implementation method for livestock production agribusinesses to achieve the sustainable work of feeders in agribusinesses through handling task performance and counterproductive work behavior of feeders.

Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots

With the popularity of financial technology (fintech) chatbots equipped with artificial intelligence, understanding the user's response mechanism can help bankers formulate precise marketing strategies, which is a crucial issue in the social science field. Nevertheless, the user's response mechanism towards financial technology chatbots has been relatively under-investigated. To fill these literature gaps, latent growth curve modeling was adopted by the present research to survey Taiwanese users of fintech chatbots. The present study proposed a customer continuance model to predict continuance intention for fintech chatbots and that cognitive and emotional dimensions positively influence the growth in a user's attitude toward fintech chatbots, which in turn, positively influences continuance intention over time. In total, 401 customers of fintech chatbots were surveyed through three time points to examine the relationship between these variables over six months. The results support the theoretical model of this research and can advance the literature of fintech chatbots and the information technology adoption model.

Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model

To fill in the literature flaws that have not been detected in previous studies, this research, therefore, examines the driving factors of proactive environmental strategy (PES). First, this research proposes how corporate social responsibility (CSR) predicts the agricultural company’s PES through the intermediary mechanism of green organization identification (GOI) of the top management team (TMT) according to symbolic context and theory of high-level echelon, to solve the first gap in exploring what factors can drive the PES. Second, this research proposes a multi-level growth curve model (MGCM) to solve how individuals adjust their behavioral intentions over time according to their translation and understanding of their use environment, because past studies consist of almost cross-sectional properties. Third, past research has also neglected the multi-level framework, leading to hierarchical reasoning bias. Therefore, this research believes that the MGCM can fill in the multi-level gap. Finally, this research collected 400 TMT employees from 100 different agricultural companies in Taiwan in three-stage time for six months. The results show that CSR will significantly lead to more growth in GOI, and more growth in GOI will lead to more growth in PES adoption. The research results can not only advance the agricultural sustainability literature but also serve as a guide for agricultural companies to implement PES.