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This paper aims to investigate the interactive relationship between learning styles and cognitive biases as two essential factors affecting information processing in online purchases.

This research is applied in nature but extends the knowledge in the area of consumer behavior. By using the correlational research method, the present study uncovers the relationship between various sorts of decision biases and learning styles among online buyers.

According to the results, the most affected learning style among all is reflective observation. Several biases influence people with this learning style, namely, risky framing, attribute framing and aggregated/segregated framing. In the case of active experimentation, online customers can undo its effect. Therefore, online sellers should be aware of their target customers with such a learning style. In addition, online purchasers with the reflective observation learning style are more prone to aggregation and segregation of sales information.

The findings enhance the understanding of consumer buying behavior and the extent to which learning styles impact cognitive biases and framing effects in online shopping.

Drawing on the framework of the trickle-down effect and social learning theory, this study aims to examine how and when leaders' voluntary green behavior (VGB) stimulates that of employees.

This study conducted a time-lagged multisource field survey. The final sample consisted of 417 employees matched to 67 leaders. The unconflated multilevel modeling (MLM) approach was employed.

A social learning mechanism underlies the trickle-down effect of leaders' VGB, which involves observation and imitation. The green role model influence serves as a mediator of these two processes. Moreover, leader-member exchange (LMX) moderates the strength of the social learning mechanism.

Leaders can gain useful insights of how to promote employees' VGB and are further inspired to reflect on the managerial philosophy of leading by example.

This study contributes to workplace green behavior literature by examining the trickle-down effect of leader VGB and uncovering a social learning mechanism. This study also offers promising directions for leadership research concerning about role modeling.

Employee training and learning have transformed over the years. The movement from classroom training to the blended format represents the magnitude of this evolution. This has placed much attention on self-regulated learning. This study aimed to understand the individual and organizational mechanisms that sustain the formal learning process in organizations. It explored the goals the organizations and employees strive to achieve by investing in learning. Through this, the authors investigated how technology assistance makes learning more goal-oriented, despite the possibility of different goals for different stakeholders. They also examined how person-job fit can be achieved in employee training.

The study adopted a grounded theory-based inductive approach using a qualitative inquiry that used in-depth interviews of employees working in the Indian IT/ITES sector. This sector is knowledge-intensive and engages in constant skill development. A content analysis of the interview transcripts unraveled the most relevant themes from the participants' discussion.

Individual learners use dimensions of self-regulated learning to set and achieve goals such as better performance and career development. On the other hand, organizations use learning support mechanisms such as better access and flexibility to direct employee learning behavior to achieve organizational goals. Focusing on goal congruence leads to better achievement of results. Goal congruence also implies good person-organization fit.

This research established how aligning individual and organizational mechanisms can help achieve training goals that ultimately contribute to organizational performance. The study differentiated itself by investigating training goal setting and goal achievement at two levels – organizational and individual – using a qualitative approach. It also showed how goal congruence is vital in improving organizational performance and how technology-enabled training practices rely on self-regulated learning and help achieve goal congruence.

This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.

The outbreak of COVID-19 significantly disrupted educational activities and forced universities to rapidly transition from the traditional face-to-face (F2F) environment to online learning formats. The purpose of this paper is to examine the effects of self-directed learning (SDL) on three instructional modalities (F2F, online and HyFlex) among emerging adults. The authors propose that class interaction enjoyment serves as a channel to understand how SDL relates to students’ satisfaction and stress reduction.

An online survey was distributed to the emerging adults, aged 18–25, at six universities across five different US states. Construct validity and reliability were tested by using confirmatory factor analysis. The moderated mediation relationship was examined by calculating the indirect effects of each course delivery format.

The results show that the positive indirect effect of SDL on stress reduction via interaction enjoyment was stronger for F2F classes. In addition, the positive indirect effect of SDL on class satisfaction via interaction enjoyment was stronger for HyFlex classes.

This literature has shown contradictory results: the effects of SDL on student satisfaction and stress reduction prove to be sometimes positive, sometimes non-significant. To better understand this relationship, the authors aim at a mediating variable – enjoyment of class interaction – as a mechanism, and a moderating variable – the instructional modality – as a boundary condition. This research contributes to emerging adults learning literature by involving the interplay among SDL, enjoyment of class interaction and the instructional modality.

This paper aims to study the agent learning from expert demonstration data while incorporating reinforcement learning (RL), which enables the agent to break through the limitations of expert demonstration data and reduces the dimensionality of the agent’s exploration space to speed up the training convergence rate.

Firstly, the decay weight function is set in the objective function of the agent’s training to combine both types of methods, and both RL and imitation learning (IL) are considered to guide the agent's behavior when updating the policy. Second, this study designs a coupling utilization method between the demonstration trajectory and the training experience, so that samples from both aspects can be combined during the agent’s learning process, and the utilization rate of the data and the agent’s learning speed can be improved.

The method is superior to other algorithms in terms of convergence speed and decision stability, avoiding training from scratch for reward values, and breaking through the restrictions brought by demonstration data.

The agent can adapt to dynamic scenes through exploration and trial-and-error mechanisms based on the experience of demonstrating trajectories. The demonstration data set used in IL and the experience samples obtained in the process of RL are coupled and used to improve the data utilization efficiency and the generalization ability of the agent.

This study aims to empirically examine the influence of management control systems (MCSs) on knowledge acquisition from innovation failure (KAFIF), which further impacts empowerment, creativity and organizational innovation. This study argues that enabling an MCS positively influences KAFIF, whereas controlling the use of an MCS negatively influences KAFIF. Further, KAFIF positively impacts empowerment, creativity and organizational innovation.

This study aims to create a comprehensive stimulus–organism–response (S-O-R) framework. This framework includes an MCS (belief, interactive, boundary and diagnostic) as a stimulus, KAFIF as an organism and creativity, empowerment and organizational innovation as responses. The data were gathered using an online survey administered to a sample of 321 employees working in India’s micro, small and medium enterprises and analyzed using partial least squares structural equation modeling.

The results indicate that there is no correlation between belief control and the acquisition of knowledge from the failure of innovation, interactive control has a positive association with KAFIF and boundary control has no relationship with KAFIF. Diagnostic control has a significant negative association with KAFIF. Further, this study found that KAFIF positively associates with empowerment, creativity and organizational innovation.

This study is among initial studies that examine the influence of MCSs on KAFIF, which impacts empowerment, creativity and organizational innovation. Further, it helps be one of the initial literature on studying KAFIF rather than innovation success.

This study aims to analyze the capacity of ecotourists to exhibit behavior that aligns with the ecotourist scale using the Rasch model measurement.

The data was gathered using an online survey incorporating the five tenets of ecotourism using a seven-point rating scale on domestic tourists in Indonesia. Descriptive statistics, cross-tabulation and Rasch model measurement were used to analyze the data.

The ecotourist identification scale measurement items were reliable and satisfactory. The most challenging behavior for ecotourists was using the services of a tour guide who was concerned about the environment. Meanwhile, respecting cultural differences around the tourist destination was the most accessible behavior. Most respondents demonstrated a fit response pattern and satisfactorily met the validity and reliability criteria.

This study did not compare ecotourists’ ability to behave by the type of conservation visited as its limitation. However, it provides a significant methodological contribution to developing a measurement of ecotourist behavior implemented in well-established behavioral theories.

Integrating ecotourism into education, incentivizing eco-friendly tourism practices, promoting awareness, supporting local businesses, respecting local values and ensuring safe travels.

To the best of the authors’ knowledge, this study is the first of its kind to be conducted in Indonesia. It uses a unique and innovative method to reveal the unobserved variables in ecotourists’ behavior. The findings confirm that tourists’ behaviors align with the five tenets of ecotourism.

Within the umbrella of technology and vocational education (TVET), technology or technical education in higher institutions of learning is obligated to produce the required manpower needed in the industry. Thus, it is pertinent to explore the interaction between the industry and higher education students. Drawing on the tenets of theory of planned behavior (TPB), this study offers valuable insights into the nomological networks of work-integrated learning (WIL), perceived behavioral control (PBC), subjective norm (SBN), personal attitude (PAT) and job search intention (JSI).

The study applied a structurally hypothesized model that was drawn from the TPB to collect data for the constructs. Using a cross-sectional survey after the WIL experiences of the students, we collected data from technology education undergraduates (N = 214) in their final academic year from universities in Nigeria.

With structural equation modeling, the study found that WIL is directly associated with JSI, PBC, SBN and PAT. In line with the tenets of the TPB, simple mediation models were supported about the influence of WIL on JSI via PBC and PAT discretely but not via SBN. Further, the results support two paths of serial mediation models, indicating sequential indirect links between WIL and JSI via SBN and PBC, as well as via SBN and PAT.

Our findings have implications for higher education practitioners, industry experts and employers of labor.

Although extant literature has relatively shown that WIL impacts employability skills, this study has remarkably shown the WIL-JSI nexuses within the variables of TPB.

This study investigates the relationship between leaders’ collectivist orientation and employees’ innovative behavior, as well as the mediating effects of employees’ collectivist orientation and servant leadership.

Based on a survey of 40 leaders and 219 employees in 12 technologically innovative enterprises in Jiangsu Province, China, a hierarchical linear modeling is used.

The results show that leaders’ collectivist orientation significantly positively affects employees’ innovative behavior. Moreover, leaders’ collectivist orientation significantly positively affects employees’ collectivist orientation/servant leadership, employees’ collectivist orientation/servant leadership significantly positively affects employees’ innovative behavior, and employees’ collectivist orientation/servant leadership partially mediates the relationship between leaders’ collectivist orientation and employees’ innovative behavior.

In response to the lack of research on the relationship between leadership cultural orientation and employees’ innovative behavior, this study sheds light on the effectiveness and mechanism of the influence of leaders’ collectivist orientation on employees’ innovative behavior, thus expanding and deepening the boundaries of theoretical research on leadership, culture and innovation management.