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Since initial demonstrations that categories are consequential for evaluation, scholars of organizations and markets have attended to dynamics in audience evaluations of category spanning. We consider how heterogeneity in evaluator engagement in a market may alter their evaluation of atypical candidates. In markets where evaluators self-propagate theories of diversification, atypical candidates are advantaged because they present a distinct and efficient opportunity to diversify. We argue that evaluator market engagement will (positively) moderate valuations of atypicality, as such evaluators will be better positioned to recognize atypical candidates and their alignment with prevailing theories of value. We find support for our contentions with data from an online peer-to-peer lending market, Prosper.com. Consistent with our hypothesis, we find that lender evaluation of these atypical borrowers is increasing in their market engagement: whereas lenders new to the market devalue atypical candidates, those who have made many evaluations evaluate atypicality positively.

The journey of novelty – from the moment it arises to the time it takes hold – is as fascinating as it is problematic. A new entity, to be recognized as such, needs to be differentiated from what existed before. However, novelty poses cognitive challenges that hamper its appreciation since it is difficult to form expectations about and make sense of something genuinely new. And since novel ideas, products, technologies, or organizational forms often violate existing practices and social structures, they are usually met with skepticism and resistance. In this introductory piece, we take stock of research into the challenges of generating, recognizing, and legitimating novelty. We review each paper in this volume and highlight the new perspectives and insights they offer about how individuals, teams, and organizations search for novelty, see novelty, and sustain novelty. Finally, we outline several research themes that, we believe, are worthy of further scholarly attention.

This study analyses the advantages and weaknesses of using Facebook to aid the learning of Japanese as a foreign language.

A questionnaire survey was conducted to collect data from 100 Hong Kong Japanese language learners (who are generally fluent in Chinese and English), ranging from total amateur to advanced learners (Japanese Language Proficiency Test (JLPT) qualified at different levels).

The authors' results suggest that the advantages of using Facebook to help learn Japanese include: (1) serving as a free-of-charge, casual, and convenient learning platform; (2) enriching learners' knowledge beyond the language learning and (3) encouraging interactive and collaborative learning with other users for practicing the language. However, the low credibility and unstructured educational materials posted on Facebook and being easily distracted by other Facebook feeds are the major weaknesses of learning a language through Facebook. Furthermore, the authors' result shows that Facebook is especially effective for Japanese learning when learners fall into either one of the following groups: young, female, or intermediate (N2/3) learners.

Scant studies focus on the aid of learning Japanese via Facebook, especially Hong Kong learners' perceptions, or generally in the East. Therefore, this study aims to fill this research gap. The authors' findings will facilitate the students, teachers, and language institutions from Hong Kong and other countries to improve the students' effectiveness in learning and teaching Japanese.

Discusses the 6th ITCRR, its breadth of textile and clothing research activity, plus the encouragement given to workers in this field and its related areas. States that, within the newer research areas under the microscope of the community involved, technical textiles focuses on new, ‘smart’ garments and the initiatives in this field in both the UK and the international community at large. Covers this subject at length.

This paper studies green vehicle routing problems of cold chain logistics with the consideration of the full set of greenhouse gas (GHG) emissions and an optimization model of green vehicle routing for cold chain logistics (with an acronym of GVRPCCL) is developed. The purpose of this paper is to minimize the total costs, which include vehicle operating cost, quality loss cost, product freshness cost, penalty cost, energy cost and GHG emissions cost. In addition, this research also investigates the effect of changing the vehicle maximum load in relation to cost and GHG emissions.

This study develops a mathematical optimization model, considering the total cost and GHG emission. The standard particle swarm optimization and modified particle swarm optimization (MPSO), based on an intelligent optimization algorithm, are applied in this study to solve the routing problem of a real case.

The results of this study show the extend of the proposed MPSO performing better in achieving green-focussed vehicle routing and that considering the full set of GHG costs in the objective functions will reduce the total costs and environmental-diminishing emissions of GHG through the comparative analysis. The research outputs also evaluated the effect of different enterprises’ conditions (e.g. customers’ locations and demand patterns) for better distribution routes planning.

There are some limitations in the proposed model. This study assumes that the vehicle is at a constant speed and it does not consider uncertainties, such as weather conditions and road conditions.

Prior studies, particularly in green cold chain logistics vehicle routing problem, are fairly limited. The prior works revolved around GHG emissions problem have not considered methane and nitrous oxides. This study takes into account the characteristics of cold chain logistics and the full set of GHGs.

The purpose of this paper is to explore the emergence of civil disobedience (CD) movements in Hong Kong in the context of the notion of civil society (CS).

The paper begins by rigorously defining the notion of CD, as well as the concept of CS and tracing its development in Hong Kong over the past several decades. By using a model of CS typology, which combines the variables of state control and a society’s quest for autonomy (SQA), the paper aims to outline the historical development of CD movements in Hong Kong. It also discusses the recent evolution of CS and its relationship with CD movements, particularly focusing on their development since Leung Chun-ying became the Chief Executive in 2012. Finally, by using five cases of CD witnessed in the past several decades, the relationship between the development of CS and the emergence of CD in Hong Kong has been outlined.

Four implications can be concluded: first, CD cannot emerge when the state and society are isolated. Second, the level of SC and the scale of CD are positively related. Third, as an historical trend, the development of SQA is generally in linear progress; SQA starts from a low level (e.g. interest-based and welfare-based aims) and moves upwards to campaign for higher goals of civil and political autonomy. If the lower level of SQA is not satisfied, it can lead to larger scale CD in future. Fourth, the CD movement would be largest in scale when the state-society relationship confrontational and when major cleavages can be found within CS itself.

This paper serves to enrich knowledge in the fields of politics and sociology.

Restaurant dining is an important part of people's live, and the restaurant industry is one of the largest industries in the hospitality sector. Thus, this study explores the effects of restaurant diningscape on customer satisfaction and word of mouth.

Based on a literature review on restaurant servicescape and special functions of dining spaces, diningscape was conceptualized as a multidimensional construct. Data were collected from 378 restaurant patrons using snowball sampling in Macao, China. The validity and reliability of constructs were assessed using confirmatory factor analysis. Structural equation modeling was used to validate the proposed hypotheses between constructs.

Results showed that diningscape has a second-order factor structure consisting of five dimensions, namely food and drinks, service quality, servicescape, social functions and soundscape. Diningscape positively influences customer satisfaction and word of mouth.

Social function is the dominant factor of diningscape while female customers are more sensitive towards food and drinks, service quality, servicescape and soundscape. Thus, restaurants should not overcrowd their premises. Additionally, restaurants must strive to provide a wide variety of food and drinks, show service intimacy and be decorated specially with appropriate sonic environment as female customers can have a big influence on where to dine.

The study reveals that diningscape is multidimensional and shall be characterized in a holistic manner. Additionally, it helps restaurant managers to focus on the more important features, such as social functions, and food and drinks that customers value most.

This project attempts to present a space component inventory classification system for space inventory replenishment and management. The authors propose to adopt a classification system that can incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment.

A fuzzy-based approach with ABC classification is proposed to incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment of the soil preparation system (SOPSYS) which is used in grinding and sifting Phobos rocks to sub-millimeter size in the Phobos-Grunt space mission. An information system was developed using the existing platform and was used to support the key aspects in performing inventory classification and purchasing optimization.

The proposed classification system was found to be able to classify the inventory and optimize the purchasing decision efficiency. Based on the information provided from the system, implementation plans for the SOPSYS project and related space projects can be proposed.

The paper addresses one of the main difficulties in handling qualitative or quantitative classification criteria. The model can be implemented using mathematical calculation tools and integrated into the existing inventory management system. The proposed model has important implications in optimizing the purchasing decisions to shorten the research and development of other space instruments in space missions.

Inventory management in the manufacture of space instruments is one of the major problems due to the complexity of the manufacturing process and the large variety of items. The classification system can optimize purchasing decision-making in the inventory management process. It is also designed to be flexible and can be implemented for the manufacture of other space mission instruments.

This study aims to examine the potential disparities in environmental, social and governance (ESG) reporting among emerging Chinese enterprises (ECEs). ECEs are subject to a set of internationally oriented ESG requirements imposed by the regulator of a global financial center that is exposed to diverse stakeholders. The authors also consider ECEs’ underlying institutional ownership, which exhibits influence over governance as a salient component of ESG.

This study is based on a random sample of 500 ECEs listed on the Stock Exchange of Hong Kong (SEHK) – the global financial center of China. ESG reporting is measured by using the key performance indicators of the SEHK’s ESG Reporting Guide. The data are collected from annual reports that contain ESG disclosures or standalone ESG/sustainability reports published during the 2018–2019 fiscal year. The authors adopt binary logistic regressions and Chi-square tests to test the proposed hypotheses.

The authors find that ECEs’ heterogeneous institutional ownership and the extent of overseas development are associated with their disclosures on climate change. ECEs with international institutional ownership are found to be a significant factor for reporting aligned with the United Nations sustainable development goals (SDGs), using external assurance and stakeholder engagement, rather than state-owned enterprises (SOEs) and private companies. The authors also document that the presence of independent nonexecutive directors (INEDs) is significantly associated with reporting on meeting the SDGs and its use of external assurance, while the presence of female directors is a significant factor influencing disclosure emphasis on energy-saving initiatives.

The authors provide an empirical study of ECEs beyond the focus on SOEs that are expected to produce comprehensive ESG reporting in addressing a broader international community of stakeholders apart from the regime of their home country. The authors document the pertinence of ECEs’ institutional ownership and governance diversity to ESG reporting. In particular, international stakeholders need to recognize such underlying differences among ECEs rather than viewing them as a homogeneous group.

The authors suggest that policymakers and practitioners in Asian countries consider increasing the presence of INEDs and gender diversity on ECE boards to enhance ESG reporting, which reinforces the findings of prior international studies suggesting such governance practices.

This study contributes to the existing body of knowledge about ESG reporting by documenting the underlying heterogeneity within ECEs, which are subject to a set of internationally oriented standards, as evidenced by their disparities in ESG reporting.