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Accurate prediction of seasonal power consumption trends with impact disturbances provides a scientific basis for the flexible balance of the long timescale power system. Consequently, it fosters reasonable scheduling plans, ensuring the safety of the system and improving the economic dispatching efficiency of the power system.

First, a new seasonal grey buffer operator in the longitudinal and transverse dimensional perspectives is designed. Then, a new seasonal grey modeling approach that integrates the new operator, full real domain fractional order accumulation generation technique, grey prediction modeling tool and fruit fly optimization algorithm is proposed. Moreover, the rationality, scientificity and superiority of the new approach are verified by designing 24 seasonal electricity consumption forecasting approaches, incorporating case study and amalgamating qualitative and quantitative research.

Compared with other comparative models, the new approach has superior mean absolute percentage error and mean absolute error. Furthermore, the research results show that the new method provides a scientific and effective mathematical method for solving the seasonal trend power consumption forecasting modeling with impact disturbance.

Considering the development trend of longitudinal and transverse dimensions of seasonal data with impact disturbance and the differences in each stage, a new grey buffer operator is constructed, and a new seasonal grey modeling approach with multi-method fusion is proposed to solve the seasonal power consumption forecasting problem.

The highlights of the paper are as follows:

1. A new seasonal grey buffer operator is constructed.

2. The impact of shock perturbations on seasonal data trends is effectively mitigated.

3. A novel seasonal grey forecasting approach with multi-method fusion is proposed.

4. Seasonal electricity consumption is successfully predicted by the novel approach.

5. The way to adjust China's power system flexibility in the future is analyzed.

A new seasonal grey buffer operator is constructed.

The impact of shock perturbations on seasonal data trends is effectively mitigated.

A novel seasonal grey forecasting approach with multi-method fusion is proposed.

Seasonal electricity consumption is successfully predicted by the novel approach.

The way to adjust China's power system flexibility in the future is analyzed.

This paper aims to conduct an experiment that investigates the effect of the ambiguity present in international financial reporting standards (IFRS) on the judgments of auditors. This paper also examine the effects of the personality trait of ambiguity tolerance on judgments of auditors.

This paper conduct an experiment in which experienced Australian-based auditors are placed in hypothetical revenue recognition and lease classification decision contexts. The participants are members of the Australian accounting profession who are familiar with applying IFRS.

This paper find support for the perception that when the relevant IFRS are more ambiguous, auditors make less aggressive reporting judgments compared to when the IFRS are less ambiguous. The results also unveil a novel finding that auditors who are more tolerant of ambiguity are likely to choose the accounting treatment that best reflects the economic substance of a transaction when interpreting IFRS compared to those who are less tolerant of ambiguity.

These results would be of interest to policymakers and accounting researchers as they continue to contemplate a shift to more principles-based IFRS.

To the best of the authors’ knowledge, this study is the first to examine the influence of an individual’s ambiguity tolerance on financial reporting quality in jurisdictions that have adopted IFRS.

The purpose of this paper is to investigate cultural and individual differences in newsvendor decision making.

The online experiment, programmed in the PHP scripting language, had 107 participants: local managers of four large, well-known and supply chain–intensive firms in China (Lenovo, Shenhua, CMST and GM).

The authors find that, as compared with American subjects, Chinese subjects engage in more demand chasing, order quantities that are closer to the mean demand, have a lower expected profit and exhibit greater variance in order quantities. However, these observations may not hold when the cross-cultural comparison is conducted for each pair of ethnic subgroups whose members have the same cognitive reflection test score, a measure of individual differences. Moreover, cultural differences also affect how individual differences manifest in newsvendor decisions.

The authors findings have important implications for employee selection, training and management in any cross-cultural business environment.

Little attention has been paid, in the behavioural operations literature, to individual differences and how they interact with culture. This paper is the first to examine the interaction effects of cultural and individual differences in newsvendor decisions, and it highlights an important research area that is currently understudied in operations management.

The purpose of this study is to evaluate freely available machine translation (MT) services' performance in translating metadata records.

Randomly selected metadata records were translated from English into Chinese using Google, Bing, and SYSTRAN MT systems. These translations were then evaluated using a five point scale for both fluency and adequacy. Missing count (words not translated) and incorrect count (words incorrectly translated) were also recorded.

Concerning both fluency and adequacy, Google and Bing's translations of more than 70 percent of test data received scores equal to or greater than three, representative of “non‐native Chinese” and “much coverage,” respectively. SYSTRAN scored lowest in both measures. However, these differences were not statistically significant. A Pearson correlation analysis demonstrated a strong relationship (r=0.86) between fluency and adequacy. Missing count and incorrect count strongly correlated with fluency and adequacy.

Most existing digital collections can be accessed in English alone. Few digital collections in the USA support multilingual information access (MLIA) that enables users of differing languages to search, browse, recognize and use information in the collections. Human translation is one solution, but it is neither time nor cost effective for most libraries. This study serves as a first step to understand the performance of current MT systems and to design effective and efficient MLIA services for digital collections.

Purpose: Drawing on research in crime and media studies, this research examines media images and stereotypes of criminals within the popular television crime drama series Bones. Methodology/approach: All 24 episodes of Season 9 were examined. Through a content analysis offender gender, race, age, offense type, and motive were examined. Findings: This research revealed that most of the images do not reflect the reality of crime and criminals. Gendered and racialized images were revealed. While male minorities’ victimization was more accurately portrayed, White females were cast in the stereotype as the emotional offender and minority females’ criminality was portrayed as similar to male criminals.

The purpose of this paper is to explore the role of affordable home ownership in the light of the recent global financial crisis.

The paper draws on recent research conducted by the authors and others which included analysis of secondary data and policy documents and interviews with key stakeholders including housing associations and developers. The theoretical scope of the paper is outlined in the first section which looks at the principles behind the two main approaches to providing affordable home ownership: shared equity and shared ownership. Given continuing aspirations on the part of most households in England to become home owners, the key comparison is with the attributes of full ownership.

The paper finds that the main products share many of the attributes of full home ownership while remaining more affordable. The economic situation post‐2007 made both shared ownership and shared equity more difficult. The crisis and its aftermath also suggest that there is a need to develop a more robust and longer term market in equity sharing. This could be of real significance into the longer term, especially if the availability of mortgage finance remains constrained for many years to come. The paper concludes that in the longer term, developing a range of partial tenures which provide most of the benefits of owner‐occupation but which reduce risks to individual households and improve affordability in the early years is a desirable strategy.

There are clear implications for policy makers in other countries, notably the benefits from developing an intermediate tenure market which includes institutional equity and risk taking rather than continued large‐scale reliance on debt finance.

Given stated governmental ambitions to meet housing aspirations, this paper clarifies how it is possible to meet an identified need for affordable home ownership products to fill the growing “gap” between first‐time buyers who can purchase with parental help and those who have no means of achieving home ownership, even though they have the income to support such a choice.

The objective of this paper was to identify and analyze barriers to hiring persons with disabilities from the perspective of employers and persons with disabilities.

A scoping review was used to evaluate both evidence and grey literature. An integrative analysis was employed to explicate the most salient macro and meso level barriers that limit the hiring of persons with disabilities.

A total of 38 articles from 6,480 evidence literature and 19 documents from grey literature were included in data extraction. Barriers included: negative attitudes in society, by employers and coworkers (macro and meso); workplace barriers (meso) were about lack of employer knowledge of performance skill and capacity of persons with disabilities, and the lack of awareness of disability and the management of disability-related issues in hiring and retention; and service delivery system barriers (macro) were focused on the lack of integration of services and policies to promote hiring and retention.

Knowledge gained furthers the understanding of the breadth of social, workplace and service delivery system obstacles that restrict the entry into the labor marker for persons with disabilities.

Barriers to employment for persons with disabilities at the macro and meso level are evident in the literature and they remain persistent over time despite best efforts to promote inclusion. Findings in this review point to the need for more specific critical research on the persistence of social, workplace and service delivery system barriers as well as the need for pragmatic approaches to change through partnering and development of targeted information to support employers in hiring and employing persons with disabilities.

Amid rapid technological progress, the construction industry is embracing Construction 4.0, redefining work practices through emerging technologies. However, the implications of Construction 4.0 technologies to enhancing well-being are still poorly understood. Particularly, the challenge lies in selecting technologies that critically contribute to well-being enhancement. Therefore, this study aims to evaluate the implications of Construction 4.0 technologies to enhancing well-being.

A list of Construction 4.0 technologies was identified from a national strategic plan on Construction 4.0, using Malaysia as a case study. Fourteen construction industry experts were selected to evaluate the implications of Construction 4.0 technologies on well-being using fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The expert judgment was measured using linguistic variables that were transformed into fuzzy values. Then, the collected data was analyzed using the following analyses: fuzzy TOPSIS, Pareto, normalization, sensitivity, ranking performance and correlation.

Six Construction 4.0 technologies are critical to enhancing well-being: cloud & real-time collaboration, big data & predictive analytics, Internet of Things, building information modeling, autonomous construction and augmented reality & virtualization. In addition, artificial intelligence and advanced building materials are recommended to be implemented simultaneously as a very strong correlation exists between them.

The novelty of this study lies in a comprehensive understanding of the implications of Construction 4.0 technologies to enhancing well-being. The findings can assist researchers, industry practitioners and policymakers in making well-informed decisions to select Construction 4.0 technologies when targeting the enhancement of the overall well-being of the local construction industry.

Many enterprises implement various business projects on the Internet in the global knowledge economy. The task of managing distributed and heterogeneous project knowledge is very important in increasing the knowledge assets of enterprises. Accordingly, this work presents a project‐based knowledge map system to properly organize project knowledge into topic maps, from which users can obtain in‐depth concepts to facilitate further project development. A two‐phase data mining approach involving the ISO/ISEC 13250 topic maps and Extensible Markup Language (XML) is used to establish the proposed system, which can determine knowledge patterns from previous projects and transform these patterns into a navigable knowledge map. The map can help users to locate required information and also offers subject‐related information easily and rapidly over the Internet.