Enhancing employee engagement for small and medium enterprises in Taiwan

Employee engagement is crucial to the success of small-and-medium-enterprises (SMEs). As SMEs are the major GDP contributors in Taiwan, both policy makers and scholars have called further research to evaluate the significance of employee engagement in order to promote business prosperity. Following this logic, the current research has examined how employee engagement is interpreted by Taiwan's SMEs and discussed what could be done to improve employee engagement. Specifically, a qualitative approach is employed for data collection, and both managers and subordinates from five main types of SMEs in Taiwan are recruited for interviews. These types include: Electronics Information, Metal transportation, Machinery Equipment, Food Manufacturing, and Textile. Interview findings have shown that the majority of employees regard employee engagement as a psychological commitment and attachment to their organizations. Based on the views of interviewees, both monetary reward (e.g. bonus) and non-monetary rewards (e.g. performance recognition) generate salient impact on engagement enhancement, i.e., monetary and non-monetary rewards have jointly facilitated employee to make stronger commitment towards organizations and organizational goals. Research findings have also supported the proposition that employees with stronger engagement at work are more likely to have higher level of organizational commitment, contributing to the organizational productivity. The current research is the first of its kind to investigate how employee engagement interacts with organizational commitment and productivity in Taiwan SMEs, providing empirical evidence to decipher the imperativeness of employee engagement enhancement. Research findings have first contributed to the engagement literature, and the implication of findings is also insightful to SME managers and policymakers in their personnel management

Computational models of learning and beyond: Symmetries of associative learning

The authors propose in this chapter to use abstract algebra to unify different models of theories of associative learning -- as complementary to current psychological, mathematical and computational models of associative learning phenomena and data. The idea is to compare recent research in associative learning to identify the symmetries of behaviour. This approach, a common practice in Physics and Biology, would help us understand the structure of conditioning as opposed to the study of specific linguistic (either natural or formal) expressions that are inherently incomplete and often contradictory

eHR Cloud Transformation: Implementation Approach and Success Factors

[EN] The article covers process models for HR IT projects and in particular for HR transformation projects. Based on the authors' experience, an applied process model for HR transformation projects in a cloud-based environment is derived. The article identifies findings applicable to the fields of organisation, business, and IT as well as decisions and critical success factors in the specific context of cloud-based HR solutions.Ziebell, R.; Albors Garrigós, J.; M.Schultz; Schoeneberg, KP.; Perelló Marín, MR. (2019). eHR Cloud Transformation: Implementation Approach and Success Factors. International Journal of Intelligent Information Technologies. 15(1):1-21. https://doi.org/10.4018/IJIIT.2019010101S12115

Introduction to Forest and Shade Tree Insect

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