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This study aims to integrate self-determination and social exchange theories to assess how the three-way interaction between human capital, perceived organizational support (POS) and future time perspective (FTP) affects turnover intention.

The study uses a sample of 586 engineers and their immediate supervisors working in Taiwanese high-technology companies to examine the hypothesized relationships.

The results indicate that human capital with a high POS has a lower turnover intention than that with a low POS. Moreover, a three-way interaction is observed between human capital, POS and FTP, indicating that human capital predicts lower turnover intention when both POS and FTP are high.

The findings suggest that managers should hire employees who have high human capital and who are predisposed to FTP and provide strong organizational support to retain outstanding manpower.

This study is one of the first to examine the interaction effects of POS and FTP on the relationship between human capital and turnover intention.

Top management team (TMT) serves as the critical designer of a firm’s business model, whose cognition exerts key influence on business model design (BMD). Drawing insights from the managerial cognition and knowledge-based views, this paper aims to examine the effect of TMT transactive memory system on BMD and investigate how the relationship between TMT transactive memory system and BMD is contingent upon the firm’s strategic orientation.

Survey data collected from 210 Chinese firms was used to test the research hypotheses through multivariate regression analysis.

This paper reveals that TMT transactive memory system facilitates novelty- and efficiency-centered BMD. Furthermore, both differentiation orientation and cost leadership orientation can strengthen the effect of TMT transactive memory system on novelty-centered BMD; the impact of TMT transactive memory system on efficiency-centered BMD is weakened by differentiation orientation but strengthened by cost leadership orientation.

This paper adds to the business model literature by unraveling the effect of TMT transactive memory system on BMD, which not only enriches the internal cognitive antecedents of BMD but also provides an in-depth understanding of how TMTs can use their knowledge structure to proactively design a certain business model. Moreover, this paper also offers insights into how TMTs can better use transactive memory system to design business models according to the specific strategic orientation.

Corporations, as key contributors of greenhouse gas emissions, have been increasingly scrutinized by governments and stakeholders. Corporations have been asked to disclose their carbon-related information. This study investigates public corporate carbon disclosure, an imperative communication channel between firms.

This study uses generalized estimation equation models with a longitudinal panel data of 311 listed firms in the China A-share stock index from 2010 to 2020. This study collected firm-level data from the Carbon Disclosure Project survey, the China Stock Market and Accounting Research, and the National Economic Research Institute of China. Stata was used as the primary statistic software in empirical analyses.

This study finds that compared to state-owned enterprises (SOEs), private firms are more willing to disclose carbon information under legitimate environmental pressure, and firms in highly distorted factor-markets are reluctant to disclose carbon information. This study finds that factor-distortion markets further moderate ownership and lead private firms in highly distorted factor-markets to behave like SOEs by significantly reducing their carbon disclosures.

This study intends to contribute to the corporate carbon disclosure literature by adding important institutional determinants to the conversation in the context of China.

The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.

An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (N = 244).

According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.

This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.

This study examines how professional technicians' teaching styles and students' learning readiness affect cooking skills performance in culinary inheritance.

This study constructed a learning performance model from the situated cognition perspective using a sample of students at universities and vocational colleges on a professional technician course. A total of 4,000 questionnaires were mailed to students, of which 2,018 were returned.

Students regard technical professors as teaching experts and expect them to care for their learning, while professional technicians' knowledge sharing significantly increases students' learning performance. The findings provide insight into professional technicians' teaching styles for academics.

This study focuses on the situated cognition perspective and its correlation with students' learning performance and discusses professional technicians' knowledge sharing as an important influencing factor.

In drawing on the conservation of resources theory and the broaden-and-build theory, the present research investigates the dynamic of social resources (i.e. servant leadership) and personal resources (i.e. psychological empowerment and positive affect) in the determination of the nurses' optimal performance (i.e. deep acting).

The research involved collecting three waves of data on 481 frontline nurses at a large hospital in Taiwan, each a month apart. The hypotheses were tested using PROCESS mediation and moderated mediation regression models.

The results supported the indirect relationship between servant leadership and deep acting through psychological empowerment as well as the moderating effect of positive affect on the mediation model.

The findings shed new light on the interplay of different resources and also provide practical implications for the development of frontline supervisors and nursing staff to be compatible with a serious orientation toward the quality of their professional functioning.

Studies have explored the determinants of customer advocacy because of customer advocacy's vital role in improving the efficiency and effectiveness of marketing. The current research complements the existing literature in the hospitality field by examining the association between restaurant innovativeness and customer advocacy while also investigating the mediating roles of self-image congruity and customer engagement.

The statistical software AMOS version 25 and bootstrapping were employed to test the hypotheses. Purposive sampling was employed for participant recruitment, and a self-administered questionnaire was used to collect data. Data were collected from Taiwanese customers who had dined at selected restaurants.

The results from 385 restaurant customers reported that self-image congruity had an indirect impact on customer advocacy through customer engagement. Customer advocacy was influenced by restaurant innovativeness through the mediation of customer engagement. The influence of restaurant innovativeness on customer advocacy was positively and sequentially mediated by self-image congruity and customer engagement.

Restaurant innovativeness is linked to customer advocacy through self-image congruity and customer engagement. Thus, restaurant managers should implement strategies focusing on innovativeness to improve self-image congruity and engagement among customers.

The current research may be the first to provide a research model that explores restaurant innovativeness, self-image congruity, customer engagement and customer advocacy in the hospitality context. This study also has practical implications for enhancing customer advocacy.

Many emerging economy firms are under foreign owners' pressure to embrace the challenges of addressing corporate social responsibility (CSR) and consider adopting sustainability initiatives. However, it is not clear how foreign ownership plays a role to enable or inhibit these emerging economy firms from translating sustainability initiatives into improved financial performance. Utilizing neo-institutional theory, the authors argue that emerging economy firms that voluntarily report sustainability gain legitimacy in the eyes of shareholders and improve stock market performance. However, emerging economy firms may not have the resources to reconcile the internal stakeholders' various legitimacy requirements to promote sustainability practices, resulting in a negative association with accounting performance. Foreign ownership attenuates the relationship between sustainability reporting and firm performance due to the different legitimacy requirements in foreign markets.

To test the study’s hypotheses, the authors collected and analyzed a large sample of publicly listed firms between 2010 and 2016 in Taiwan where the types of foreign ownership include foreign trust funds, foreign financial institutions and other foreign legal entities. Regression analyses were conducted to investigate whether the firms that report their sustainable practices have better financial performance, including stock market performance and accounting performance. Additionally, a three-step procedure was employed to address the endogeneity issue with a binary explanatory variable.

The positive stock market reaction to the emerging economy firms' voluntary sustainability reporting supports legitimacy gained among investors. By contrast, sustainability reporting has a negative association with accounting performance due to the difficulty of reconciling different legitimacy requirements among various stakeholders in emerging economies. Further, foreign ownership, particularly the trust fund, exhibits a negative moderating effect on the relationship between sustainability reporting in aligning corporate practices with sustainable development goals (SDGs) and the company's stock market performance.

By examining the less tested contingent role played by foreign ownership in the emerging economy firms' sustainability reporting, the authors provide insights into the influence exerted by different types of foreign ownership on firms' financial performances beyond previous studies that focus on family ownership, state ownership, or managerial ownership in emerging economies. The findings shed light on corporate sustainability strategy and foreign direct investment policies for an emerging economy.

Most epidemic transmission forecasting methods can only provide deterministic outputs. This study aims to show that probabilistic forecasting, in contrast, is suitable for stochastic demand modeling and emergency medical resource planning under uncertainty.

Two probabilistic forecasting methods, i.e. quantile regression convolutional neural network and kernel density estimation, are combined to provide the conditional quantiles and conditional densities of infected populations. The value of probabilistic forecasting in improving decision performances and controlling decision risks is investigated by an empirical study on the emergency medical resource planning for the COVID-19 pandemic.

The managerial implications obtained from the empirical results include (1) the optimization models using the conditional quantile or the point forecasting result obtain better results than those using the conditional density; (2) for sufficient resources, decision-makers' risk preferences can be incorporated to make tradeoffs between the possible surpluses and shortages of resources in the emergency medical resource planning at different quantile levels; and (3) for scarce resources, the differences in emergency medical resource planning at different quantile levels greatly decrease or disappear because of the existing of forecasting errors and supply quantity constraints.

Very few studies concern probabilistic epidemic transmission forecasting methods, and this is the first attempt to incorporate deep learning methods into a two-phase framework for data-driven emergency medical resource planning under uncertainty. Moreover, the findings from the empirical results are valuable to select a suitable forecasting method and design an efficient emergency medical resource plan.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.