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Taiwan promotes social enterprises with the Social Enterprise Action Plan and Social Innovation Action Plan, focusing on solving social problems and achieving sustainable development goals. This study aims to clarify the impetus for the above policies and determines whether the relevant policy tools can achieve the established policy goals.

This study adopts the in-depth interview method and uses the “social impact investment framework” constructed by OEDC and Dunn’s definition of public policy stakeholders to select 22 respondents, who were divided into three groups.

Taiwan’s decision-making in social enterprise policy is mainly driven by the pressure of youth unemployment and the 318-student movement. Intrinsic motivation strategies popularized the concept of social enterprise. Various strategies are used to break the limitations and diversify the organization, trigger more diverse social investments, broaden the goals of investment and complete the social enterprise ecosystem through these. Taiwan’s social enterprise policies are consistent with the global trend of “replacing subsidies with investment.”

This study shows that social enterprises generate mutual benefits between investors and social enterprises, that is, achieve free matching through external mechanisms. This study fills the gaps in Oliver’s “behavioral cube” framework of policy instruments. A “behavioral four-dimensional matrix” composed of nudge, shove, budge and reciprocity is proposed to complete the framework for social enterprise policy analysis tools.

Although there have been considerable amounts of research documenting the effects of narcissism on workplace outcomes, studies of the impact of narcissism on job performance have produced inconclusive results. This study aims to provide insight into this issue by using a new model of narcissism, the Narcissistic Admiration and Rivalry Concept model to explore the processes by which narcissism can impact job performance.

Two studies (Study 1 with 1,176 employees and 217 managers cross-sectional data; Study 2 with 209 employees and 39 managers time-lagged data) were conducted and multilevel technique was used to test the research model.

Narcissistic rivalry is associated with higher levels of family–work conflict (FWC) and that these effects are magnified when narcissists also have competing demands in the form of expectations to conform to traditional values. Furthermore, this study documents that higher levels of FWC are associated with greater emotional exhaustion and lower job performance. However, narcissistic admiration only has direct effect on job performance.

This paper not only suggests that narcissism is a previously untested dispositional antecedent for FWC, but it also uses a facet-based approach to examine when and how narcissism impacts job performance.

The purpose of this paper is to build a research model to examine the effects of business planning on the new venture emergence, as well as to examine the moderating effects of innovativeness of products.

Four hypotheses are put forward and examined by hierarchical binary logistic regression. The data of this paper are based on the first two waves of data from Chinese Panel Study of Entrepreneurial Dynamics project.

Results show that engaging in business planning has a positive effect on the new venture emergence, and the timing of business planning does not affect the new venture emergence significantly. This study also finds that the innovativeness of products has a positive moderating effect on the relationship between the timing of business planning and the new venture emergence.

This study has some limitations. The innovativeness of products is measured by a single indicator, which may not completely reflect the meaning of the attribute. Moreover, this study explores new ventures only in the nascent stage.

The study is useful for entrepreneurs to realize the importance of business planning. First, engaging in business planning in early start-up stage is a very valuable activity, because business planning can help new ventures reduce the loss caused by trial and error learning. Second, engaging in business planning is more likely to ensure high innovative products quickly be accepted by the market. Because in the process of new venture emergence, the legitimacy signal to stakeholders can be transmitted and new products can be promoted to get support and recognition from stakeholder through the business plan.

This paper focuses on the early stage of new venture life cycle and the contextual factors to explore the influence of business planning on the new venture emergence under the logic of legitimacy. This paper could enrich business planning research from the perspective of legitimacy theory by inspiring scholars to focus on the differences between new ventures and mature enterprises and to offer proposals of legitimation strategies suitable for new ventures. Meanwhile, this study contributes to the understanding of the contextual factors of business planning. And it discusses the impact of the attribute in business planning on the new venture emergence, which helps scholars to get a deep thought about the value of business planning in entrepreneurial process.

This paper aims to present the analysis, design and implementation of functional link-based recurrent fuzzy neural network (FLRFNN) for the control of variable-speed switched reluctance generator (SRG).

The node connecting weights of the FLRFNN are trained online by back-propagation (BP) algorithms. The proposed estimator requires less processing time than traditional methods and can be fully implemented using a low-cost digital signal processor (DSP) with MATLAB toolboxes. The DSP-based hybrid sensor presented in this paper can be applied to a wind energy-conversion system where the SRG is used as a variable-speed generator. The current transducer is used to monitor the energized current and proximity sensors for rotor salient.

The authors have found that optimal based on FLRFNN with Grey controller can resolve the regulation of the system with uncertainty model and unknown disturbances. This technique can maintain the system stability and reach the desired performance even with parameter uncertainties.

This design will improve the performance of SRG to operate more smoothly. This application is currently being studied because the SRG has well-known advantages such as robustness, low manufacturing cost and good size-to-power ratio. Performance of the proposed controller can offer better stability characteristics. Finally, the SRG has a very good efficiency in the whole operating range.

The purpose of this paper is to present a review on the latest developments, approaches and methods in intellectual capital (IC) performance measurement.

A total of 53 research papers from high-ranking journals concerning the advances in IC performance measurement were thoroughly reviewed and classified to identify the advanced approaches and methods that have been used to evaluate IC performance.

It is clear that the current application of advanced or intelligent methods in IC performance measurement is still at the primary stage. The reviewed approaches mainly focus on two core applications. First is to assist the data collection or data handling process and second is to enhance the result computation process to obtain a more reliable and realistic value that represents the performance of IC.

This study offers a foundation and guideline for the researchers who wish to integrate advanced methods into IC performance measurement based on the reviewed advanced approaches in terms of their respective functions, strengths and limitations. It stimulates the creation of new IC performance measurement models that use advanced approaches to cope with real-life problems and dynamic conditions.

This paper contributes to the literature on IC performance measurement, in light of advances in technology. In general, five advanced approaches were identified, analyzed and discussed. Future research directions were presented to provide new insights for researchers to apply advanced methods in IC performance measurement, together with theoretical and managerial implications.

Control charts are widely used for both manufacturing and service industries. Traditional Shewart control chart is a very simple procedure, it works well for detecting large process shifts. A criticism of Shewhart charts is that they only use the information about the process contained in the last observation. One method of increasing the sensitivity of Shewhart charts to smaller process shifts is by introducing what are known as supplementary rules.

The statistical process control chart is a monitoring technique useful in determining whether a process is behaving as intended or if there are some unnatural causes of variation. A process is considered to be out of control if a point falls outside the control limits or a series of points exhibit an unnatural pattern (also known as nonrandom variation). Analysis of unnatural patterns is an important aspect of control charting. It is well known that a particular unnatural pattern on a control chart is often associated with a specific set of assignable causes. Identification of unnatural patterns can greatly narrow the set of possible causes that must be investigated, hence facilitating the rapid diagnosis and corrective action.

Define, measure, analyze, improve and control (DMAIC) and define, measure, analyze, design and verify (DMADV) are two Six Sigma methodologies that improve quality in a process or product. In general, if the product design improvement in reliability cannot satisfy the failure‐free performance of Six Sigma, the DMADV process is used to create or redesign new product designs. However, the original function may be affected, and the product development cycle time may be enhanced due to a redesigned process. This paper aims to propose a new procedure to combine the reliability parameter and critical to quality (CTQ) to improve a product's reliability and to reduce the number of engineering changes without redesigning.

The study influences the failure parameter to find out the mean time to failure (MTTF) tree and utilizes the DMAIC process for improvement. It is important to maintain the function while improving time. This study looks at a cold cathode fluorescent lamp (CCFL) case.

The CCFL case uses the DMAIC process finds that important root cause improvement can increase MTTF twofold.

The paper provides useful information on product reliability improvement using the DMAIC process.

This paper aims to address the lack of previous studies and to propose a reliable and valid knowledge management performance measurement (KMPM) model for small and medium enterprises (SMEs).

A survey instrument containing 13 constructs and 49 items was initially developed and posted to small and medium-sized consultancy firms in Malaysia. Reliability and validity analysis was performed to ensure the quality of the instrument.

The developed survey instrument was shown to be reliable, valid and suitable to be applied in SMEs to evaluate their knowledge management (KM) performance.

The present study is limited to SMEs in the service sector. The results are not suitable to be generalized to the manufacturing sector or larger organizations without further research.

This study would provide SMEs with a better understanding on KMPM and also a guideline to refer to when measuring their KM performance. Academics can use this study as a basic model to explore KMPM in SMEs and develop new measurement models.

This study is believed to be the first that has scientifically developed and empirically tested the constructs that represent a comprehensive KMPM model tailored for SMEs.

Small and medium enterprises (SMEs) are recognized as playing a pivotal role in the economic growth and technological progress of many countries, yet there is a dearth of research that examines the operational performance and strategies of these smaller enterprises, especially in the Asian context. Of particular interest is the operational posture in terms of the key operations priorities adopted by successful SMEs in carving out their own competitive niches. This study is the first to develop a taxonomy of operations strategies based on the operational performance of high performing SMEs in Singapore. As Singapore is one of the most competitive countries in the world and a highly successful newly industrializing nation in Asia, the use of Singapore data provides benchmarking and best practice information for international business communities and newly industrializing countries. Three strategic clusters were identified. Analysis showed significant differences in the operational posture, financial performance and the kinds of improvement programs undertaken by the three strategic clusters. The strategic role of operations in terms of its contribution to corporate strategic formulation and financial profitability was also investigated. Managerial implications of our findings are presented.