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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.
Stanley Y. B. Huang; Chih-Jen Lee; Shih-Chin Lee. Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots. Sensors 2021, 21, 5687 .
AMA StyleStanley Y. B. Huang, Chih-Jen Lee, Shih-Chin Lee. Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots. Sensors. 2021; 21 (17):5687.
Chicago/Turabian StyleStanley Y. B. Huang; Chih-Jen Lee; Shih-Chin Lee. 2021. "Toward a Unified Theory of Customer Continuance Model for Financial Technology Chatbots." Sensors 21, no. 17: 5687.
The present research proposes the hierarchical linear modeling model (HLM) that describe how green social responsibility (GSR) predict the environmental strategy (ES) of agricultural technology manufacturing companies by the intermediary effects of the supervisor’s green promise (GP) based on symbolic context theory. This study collected data with 150 supervisors from 50 different agricultural technology companies in Taiwan to analyze the HLM. The results suggest that vendors of agricultural technology companies should establish GSR to increase GP, which consequently can increase the companies’ adoption of the ES. It is now the first to establish a milestone, propose a novel adoption model—GP and its antecedents through the HLM to predict the adoption of ES. These findings can upgrade the related literature of agriculture and can provide the procedure in implementing ES in agricultural technology companies.
Stanley Y. B. Huang; Shih-Chin Lee; Yue-Shi Lee. Why Can Green Social Responsibility Drive Agricultural Technology Manufacturing Company to Do Good Things? A Novel Adoption Model of Environmental Strategy. Agronomy 2021, 11, 1673 .
AMA StyleStanley Y. B. Huang, Shih-Chin Lee, Yue-Shi Lee. Why Can Green Social Responsibility Drive Agricultural Technology Manufacturing Company to Do Good Things? A Novel Adoption Model of Environmental Strategy. Agronomy. 2021; 11 (8):1673.
Chicago/Turabian StyleStanley Y. B. Huang; Shih-Chin Lee; Yue-Shi Lee. 2021. "Why Can Green Social Responsibility Drive Agricultural Technology Manufacturing Company to Do Good Things? A Novel Adoption Model of Environmental Strategy." Agronomy 11, no. 8: 1673.
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.
Stanley Y. B. Huang; Shih-Chin Lee; Yue-Shi Lee. Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model. Mathematics 2021, 9, 1962 .
AMA StyleStanley Y. B. Huang, Shih-Chin Lee, Yue-Shi Lee. Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model. Mathematics. 2021; 9 (16):1962.
Chicago/Turabian StyleStanley Y. B. Huang; Shih-Chin Lee; Yue-Shi Lee. 2021. "Constructing an Adoption Model of Proactive Environmental Strategy: A Novel Quantitative Method of the Multi-Level Growth Curve Model." Mathematics 9, no. 16: 1962.
Job burnout is a continuing concern for human resource management and mental health at work, as it affects employee productivity and well-being. The present study conceptualizes Kahn’s job engagement theory to predict job burnout through a latent growth model. To test the proposed model, data were collected by surveying 710 employees of R&D departments of financial information technology firms of Taiwan at multiple points in time over 6 months. Therein, this study found that as employees perceived more ethical leadership, corporate social responsibility, and self-efficacy at Time 1, they were more likely to show increases in job engagement development behavior over time. Further, increases in job engagement development behavior demonstrate their positive relationship with the decrease in job burnout development behavior over time. These findings highlight that the potential dynamic consequences of organizational behaviors can lead to employee career development and occupational mental health.
Stanley Huang; Yu-Ming Fei; Yue-Shi Lee. Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms. Sustainability 2021, 13, 4680 .
AMA StyleStanley Huang, Yu-Ming Fei, Yue-Shi Lee. Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms. Sustainability. 2021; 13 (9):4680.
Chicago/Turabian StyleStanley Huang; Yu-Ming Fei; Yue-Shi Lee. 2021. "Predicting Job Burnout and Its Antecedents: Evidence from Financial Information Technology Firms." Sustainability 13, no. 9: 4680.
This study proposed a multilevel model of environmentally specific social identity based on upper echelons theory and examined how environmentally specific transformational leadership influenced the environmentally specific social identity of the top management team (TMT), which consequently influenced a corporation’s choices of proactive environmental strategies. Besides, the environmentally specific transformational leadership atmosphere at the TMT level also influenced the environmentally specific social identity atmosphere at the TMT level, which consequently influenced a corporation’s choices of proactive environmental strategies at the same time. In particular, this study proposed a novel concept–environmentally specific social identity based on social identity theory, including environmentally specific self-categorization, environmentally specific affective commitment, environmentally specific self-esteem. This study employed a hierarchical linear model and collected longitudinal data of 210 chief executive officers with their 840 members of TMTs at technology manufacturing businesses of Greater China at three waves over six months to analyze the theoretical model. This study found that individual-level environmentally specific transformational leadership and TMT-level environmentally specific transformational leadership (atmosphere) influenced individual-level environmentally specific social identity and TMT-level environmentally specific social identity (atmosphere), which consequently influenced proactive environmental strategies. These findings provide theoretical insights for the field of sustainable development that can advance the literature on proactive environmental strategies.
Stanley Huang; Chih-Wen Ting; Yu-Ming Fei. A Multilevel Model of Environmentally Specific Social Identity in Predicting Environmental Strategies: Evidence from Technology Manufacturing Businesses. Sustainability 2021, 13, 4567 .
AMA StyleStanley Huang, Chih-Wen Ting, Yu-Ming Fei. A Multilevel Model of Environmentally Specific Social Identity in Predicting Environmental Strategies: Evidence from Technology Manufacturing Businesses. Sustainability. 2021; 13 (8):4567.
Chicago/Turabian StyleStanley Huang; Chih-Wen Ting; Yu-Ming Fei. 2021. "A Multilevel Model of Environmentally Specific Social Identity in Predicting Environmental Strategies: Evidence from Technology Manufacturing Businesses." Sustainability 13, no. 8: 4567.