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Although the measurement of self‐leadership (RSLQ) has been developed and validated with samples from the USA with promising reliability and construct validity, its generalizability to the Chinese context is problematic. The purpose of this study is to modify the existing self‐leadership scale (RSLQ) in order to make the application of self‐leadership theory and measurement more relevant to the Chinese culture. This modification includes: enhancing the generalization of self‐leadership measurement to the Chinese context by refining the items of four existing dimensions (self‐observation, evaluations of beliefs and assumptions, natural rewards, and self‐punishment) found to have low‐reliabilities in one previous validation study; and extending the breadth of some self‐leadership components based on the cross‐cultural theory about self‐concept differences between individualism and collectivism. Three self‐leadership subscales are newly developed through extending three self‐leadership components (natural rewards, self‐observation, and evaluating beliefs and assumptions) with the incorporation of social/relation‐based features associated with collectivism.

The modified RSLQ was administered to 569 Chinese students. The reliability and construct validity of this modified self‐leadership scale was explored using exploratory (EFA) and confirmatory factor analysis (CFA). Test of association with self‐efficacy was also examined.

Results from the EFA demonstrated good reliability and stable factor structure for the modified scale and CFA demonstrated acceptable model fit for 11 factors of the modified self‐leadership scale. Most notably, the refinement of four existing dimensions (self‐observation, evaluations of beliefs and assumptions, natural rewards, and self‐punishment), which had failed to reach acceptable levels of reliability in Neubert and Wu's Chinese sample, showed increases above the commonly recommended level of 0.7. Two new extended dimensions, relation‐based natural rewards and social‐oriented evaluation of beliefs and assumptions, consistently emerged in two independent student samples. More interestingly, the items of another extended dimensions, relation‐based self‐observation consistently merged with the task‐based self‐observation (the original subscale) to form one factor, suggesting that, in Chinese culture, task‐based self‐observation cannot be separated from relation‐based self‐observation. The modified RSLQ was also positively and strongly associated with self‐efficacy.

Further validation work is required to examine whether the refined RSLQ could be generalized to another collectivistic country such as Korea or Japan.

Managers will benefit from understanding how culture shapes an individual's use of self‐leadership strategies.

The study makes a significant contribution to the universal application and generalizability of self‐leadership measurement to the Chinese population. The validation works to support the belief that the modified 38‐item RSLQ is a superior measure with higher internal consistency and more stable factor structure than that of the existing instrument, which could be generalized to a Chinese context.

The purpose of this paper is to provide the modified measures of risk-adjusted performance evaluation of Malaysian mutual funds using the downside risk concepts, and promote the ability of managers and investors in making logical decisions under the market asymmetry condition.

This study focusses on the performance evaluation of Malaysian mutual funds using eight modified measures of Sharpe, Treynor, M2, Jensen’s α, information ratio (IR), MSR, SPI, and leverage factor. These modified measures use the downside systematic risk and semi-standard deviation instead of systematic risk and conventional standard deviation, respectively, to evaluate the performance of Malaysian mutual funds over the period 2000-2011.

The results indicate that the conventional measures of performance evaluation do not have a crucial influence on the relative evaluation of mutual funds. Three modified measures of Sharpe, Treynor, and M2 have a high correlation with the conventional Sharpe measure and can be used instead of the conventional Sharpe measure. Since, two modified measures of Treynor and M2 display a high rank correlation coefficient with the conventional Treynor measure, they can be replaced with this traditional measure. In addition, two modified IR and MSR measures along with the modified SPI and conventional SPI show very high rank correlation coefficients in relation to each other. The results also document a modified leverage factor less than one for all funds. It can be concluded that the strategy of un-levering the investor’s holding must be followed.

The empirical evidence of this study can be utilized as inputs in the process of decision-making by different types of investors who are interested in participating especially in Malaysian stock market and generally in global stock market under the market asymmetry condition.

The contribution of this study is to modify five measures of M2, IR, MSR, FPI, and leverage factor in the downside risk framework which is a work on a rather under-researched area.

This study aims to modify the human factors analysis and classification system (HFACS) to make it suitable for collapse accident analysis in construction. Based upon the modified HFACS, distribution patterns of causal factors across multiple levels were discerned among causal factors of various stakeholders at construction sites. It explored the correlations between two causal factors from different levels and further determined causation paths from two perspectives of level and stakeholder.

The main research framework consisted of data collection, coding and analysis. Collapse accident reports were collected with adequate causation information. The modified HFACS was utilized for coding causal factors across all five levels in each case. A hybrid approach with two perspectives of level and stakeholder was proposed for frequency analysis, correlation analysis and path identification between causal factors.

Eight causal factors from external organizations at the fifth level were added to the original HFACS. Level-based correlation analyses and path identification provided safety managers with a holistic view of inter-connected causal factors across five levels. Stakeholder-based correlation analyses between causal factors from the fifth level and its non-adjacent levels were implemented based on client, government and third parties. These identified paths were useful for different stakeholders to develop specific safety plans for avoiding construction collapse accidents.

This paper fulfils an identified need to modify and utilize the HFACS model for correlation analysis and path identification of causal factors resulting in collapse accidents, which can provide opportunities for tailoring preventive and protective measures at construction sites.

To examine the heat transfer characteristics of soild‐liquid phase change material (PCM) suspensions in a rectangular natural circulation loop.

A continuum mixture flow model is used for the buoyancy‐driven circulation flow of the PCM suspensions together with an approximate enthalpy model to describe the solid‐liquid phase change (melting/freezing) process of the PC particles in the loop. Numerical simulations via a finite difference method have been conducted for the pertinent physical parameters of a loop with fixed geometrical configuration in the following ranges: the modified Rayleigh number Ra*=10⁹‐10¹³, the modified Stefan number Ste*=0.05‐0.5, the particle volumetric fraction C_v=0‐20 percent and the modified subcooling factor Sb*=0‐2.0.

The melting/freezing processes of the PCM particles at the heated/cooled sections of the loop are closely interrelated in their inlet conditions of the suspension. The influences of the modified Rayleigh number, the particle fraction, the modified Stefan number, and the modified subcooling factor on the heat transfer behavior, as well as the thermal efficacy of the PCM suspensions are elucidated. There could be a flow regime in the parametirc domain where heat transfer performance of the suspension circulation loop is significantly enhanced, due to contribution of the latent heat transport associated with melting/freezing of PCM particles.

Future work to address effects of the geometric parameters such as the aspect ratio; the lengths and locations of, as well as the relative height between the heated and cooled sections is definitely needed, which are necessary steps towards developing more reliable predictive tools for system design of a circulation loop containing PCM suspension.

This work has explored the feasibility and quantified the efficacy of incorporating the PC suspensions as the heat transfer enhancement medium in a natural circulation loop, which has not been examined previously.

The standard market models assume that all investors are rational with the same level of risk aversion, whereas investors in the real world are neither rational nor homogeneous. This contrast makes these models inappropriate for evaluating manager skill. The purpose of this paper is to attempt to bridge the gap between model assumption and fund investment practice.

This study proposes a series of modified models using the excess return of peer funds to estimate fund alpha. In these models, the market excess return in the standard market models is replaced with the average excess return of bootstrapped funds. In addition, the author examines the reasons for the difference between the modified models and the standard models.

The modified models better explain the variation of fund returns, and they exhibit that a considerably higher percentage of funds can earn positive alpha, thus the skill of fund managers is underestimated based on the standard market models.

The proposed models provide a more reliable method for investors to identify skilled fund managers, and they can also serve as an objective benchmark in evaluating fund performance and in designing manager compensation packages.

The purpose of this study is to propose a novel relaxation modified factor to accelerate the numerical solution of the radiative transfer equation (RTE) with several high-resolution total variation diminishing schemes. The methodology proposed is denoted as the X-factor method.

The X-factor method was compared with the technique deferred-correction (DC) for the calculations of a two-dimensional cavity with absorting-emiting-scatteting gray media using the discrete ordinates method. Four parameters were considered to evaluate: the absorption coefficient, the emissivity of boundary surface, the scattering albedo and under-relaxation factor.

The results showed the central processing unit (CPU) time of X-factor method was lower than DC. The reductions of CPU time with the X-factor method were observed from 0.6 to 75.4%.

The superiority of the X-factor method over DC was showed with the reduction of CPU time of the numerical solution of RTE for evaluated cases.

The purpose of this study is to review the critical success factors (CSFs) of street food destinations, given the limited attention awarded to such research in the food and beverage sector.

An interpretivist approach was used to merge CSFs from street vending and culinary tourism perspectives, to develop a draft framework for analysing CSFs for street food destinations. In total, 64 cities that appeared in the first 20 webpage results of a Google search, using 4 keywords, formed the population. A purposive sample of seven destinations (Bangkok, Marrakesh, Mexico City, Istanbul, Hong Kong, Portland and Singapore City) was used. A content analysis method was used to review webpages, journal articles and government reports of the destinations, based on the modified list of CSFs.

The availability of diverse street food resources and cultures, coupled with rich historic city cores that sustain street food vending, in some destinations, are very important CSFs. The presence and extent of regulatory enforcement were also key in others. Empirical research is, however, required to corroborate the draft framework to create a body of knowledge for further research in the field.

The study examines how leading street food destinations have instituted the CSFs required for street food provision.

In the modern world, life satisfaction has become a quintessential construct for large-scale organizations, and a valid measure to evaluate employee life satisfaction is required. Therefore, this study aims to evaluate the psychometric properties of the satisfaction with life scale (SWLS) in a sample of employees working in the Indian manufacturing sector.

Survey method was used for data collection among a sample of 404 employees. Further, the psychometric properties of SWLS were evaluated with reference to reliability and validity assessment (face, content and construct validity).

The results were found to be significant for SWLS to assess the life satisfaction of employees working in manufacturing organizations in India.

This study attempts to validate SWLS among employees, which is a novel contribution in the field. Also, it suggests that effective application of SWLS can help in identifying and understanding the work-related factors associated with life satisfaction.

A digital servitization ecosystem (DSE) is a cooperation model based on the concept of value cocreation. However, capability asymmetry among enterprises can lead to unfair benefit distribution and hinder value cocreation and digital service transformation. This paper aims to investigate the impact of the varying capabilities of enterprises (manufacturers, service providers and digital technology providers) on revenue distribution when these enterprises collaborate on digital servitization transformation. This analysis is performed from an ecosystem perspective to facilitate the stable development of DSEs.

The rise of DSEs has engendered extensive literature, and the distribution of benefits within DSEs is in dire need of new mechanisms to adapt to the new competitive environment. The importance of investment contribution, digital servitization level, digitalization level, risk-taking ability, digital servitization effort level and brand awareness is determined by combining the expert scoring method and the entropy value method to determine different weights for manufacturers, service providers and digital technology providers. The Shapley value is used to design the benefit distribution mechanism for stable cooperation among DSE enterprises, thus providing a more scientific basis for the development of cooperative relationships.

Digital servitization is a collaborative process that involves multienterprise activities, and it is significantly affected by digital servitization level and digitalization level. Moreover, constructing the modified Shapley value benefit distribution mechanism according to the relevant capabilities of digital servitization can promote the stable development of DSEs and value cocreation among members.

The main contributions of this study are as follows: First, it summarizes the stability-influencing factors of DSEs on the basis of empirical and literature research on the demand for enterprise digital servitization capabilities and transformation difficulties, delves deeper into the capability composition and cooperative relationship of DSE members and combines the expert scoring method and the entropy value method to determine the weighting to design the benefit distribution mechanism. Second, it reflects system stability and development by studying the revenue distribution of DSE members, thereby expanding the ecosystem construction and business model transformation of digital servitization in the existing research.

The purpose of this paper is to establish and implement a direct topological reanalysis algorithm for general successive structural modifications, based on the updating matrix triangular factorization (UMTF) method for non-topological modification proposed by Song et al. [Computers and Structures, 143(2014):60-72].

In this method, topological modifications are viewed as a union of symbolic and numerical change of structural matrices. The numerical part is dealt with UMTF by directly updating the matrix triangular factors. For symbolic change, an integral structure which consists of all potential nodes/elements is introduced to avoid side effects on the efficiency during successive modifications. Necessary pre- and post processing are also developed for memory-economic matrix manipulation.

The new reanalysis algorithm is applicable to successive general structural modifications for arbitrary modification amplitudes and locations. It explicitly updates the factor matrices of the modified structure and thus guarantees the accuracy as full direct analysis while greatly enhancing the efficiency.

Examples including evolutionary structural optimization and sequential construction analysis show the capability and efficiency of the algorithm.

This innovative paper makes direct topological reanalysis be applicable for successive structural modifications in many different areas.