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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.

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.

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 study proposes an objective assessment model to evaluate the performance of internal and external capabilities of firms. It facilitates firms to invest appropriate resources to cultivate the organizational capability necessary to meet the requirements of the performance indicators.

This study integrates the concepts of resource-based theory, the organizational capability concept, and conduct a performance analysis to the four perspectives of the BSC by implementing the fuzzy set theory and data employment analysis.

The findings show that the appropriate strategies help allocate available resources and capabilities during the different product life cycle, which provides practical guidelines for firms to achieve sustaining competitive advantage.

The selected factors were focused on four resources and capabilities rather than all possible factors.

An objective assessment model was created based on internal and external competitive performance efficiency in this research field. This model facilitates the ability of the top management to make decisions for resource allocation that will enhance firm's performance.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

The purpose of this study is to investigate the effects of the Perceptions of coronavirus 2019 (COVID-19) questionnaire and the Information System Success Questionnaire on students when using the school's COVID-19 epidemic prevention website. The study is aimed toward analyzing both questionnaires as well as evaluating an epidemic prevention website.

The school's COVID-19 prevention website and two questionnaires (Perceptions of COVID-19 and the Information System Success Questionnaire) are examined in order to investigate 73 students' COVID-19 perceptions. An open-ended question was used as the qualitative data to support quantitative data and evaluate a university's COVID-19 epidemic prevention website from a southern university in Taiwan.

The findings indicated that most students evaluated the school's COVID-19 website positively and were satisfied. In the open-ended questions, the majority of students rated the quality of the system positively and the need to fix some defects. Students have different COVID-19 perceptions and social distance compliance based on their current situations.

This study provides researchers and website developers a broader understanding of the construction of the school's COVID-19 prevention website and a better understanding of student's COVID-19 perceptions.

To the best of the authors' knowledge, this is the first study examining a school's epidemic prevention website, which is measured by the Information Success Questionnaire and the Perceptions of COVID-19 Questionnaire for college students.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

This study employed the commitment–trust theory in social psychology and relationship marketing to explore female customers' perception of channel integration quality in omnichannel retailing and its influence on their relationship commitment to and trust in the relationship with retailers, and thus on their stickiness. Channel integration quality consists of two dimensions: channel service configuration (channel choice breadth and channel service transparency) and integrated interactions (content consistency, process consistency and perceived fluency).

The study was carried out via a questionnaire survey, to which 868 valid responses were collected. The partial least squares technique was used to test the hypotheses.

Channel service transparency and perceived fluency influence relationship commitment; content consistency, process consistency and perceived fluency all have significant effects on trust. Interestingly, although less influential than integrated interactions, channel service configuration is the foundation of channel integration quality, testifying to its significant role.

This study provides strong evidence on how channel integration quality affects customer stickiness. Moreover, this study replicates the finding of significant relationships among relationship commitment, trust and stickiness in omnichannel retailing.

This paper aims to examine the effectiveness of control mechanisms in promoting collaborative performance by exploring the moderating effects of formal institutions (government support and legal enforcement in this study) and informal ties (business ties in this study) on the relationship between control mechanisms and collaborative performance.

A conceptual model is developed with the direct effects of contractual execution and relational norms on collaborative performance and the moderating effects of government support, legal enforcement and business ties on the above relationships. Hierarchical regression analysis is used to test the hypotheses based on 393 responses from Chinese computer and computer components distributors.

The empirical results generally support the conceptual model. First, consistent with most previous studies, both contractual execution and relational norms contribute to collaborative performance. Second, government support and business ties weaken the role of contractual execution, whereas legal enforcement strengthens it. Third, business ties enhance the effects of relational norms, and, unexpectedly, government support also fosters the relationship between relational norms and collaborative performance.

First, this study solves the problem of conflicting findings on the relationship between contract and performance by examining the effect of contractual execution, rather than contract design, on collaborative performance. Second, this study contributes to institutional theory by examining the moderating role of formal institutions. Third, this study deepens the understanding of the role of business ties by exploring its moderating effect on the relationship between control mechanisms and collaborative performance.

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.