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One of the major concerns of the constrained-surface stereolithography (SLA) process is that the built-up part may break because of the force resulting from the pulling-up process. This resultant force may become significant if the interface mechanism between the two contact surfaces (i.e. newly cured layer and the bottom of the resin vat) produces a strong bonding between them. The purpose of this paper is to characterize the separation process between the cured part and the resin vat by adopting an appropriate and simple mechanics-based model that can be used to probe the pulling-up process.

In this paper, the time-histories of the pulling-up forces are measured using FlexiForce® force sensors. The experimental data are analyzed and used to estimate the constitutive parameters of the separation mechanism. Here, the separation mechanism is modeled based on the concept of cohesive zone model (CZM) that is well-studied in the field of fracture mechanics. By using the experimentally measured pulling-up force, this paper proposes a very efficient inverse technique to estimate the constitutive parameters for the CZM. The constitutive laws for the CZM facilitate in relating the separation force at the interface between the cured part and the resin vat in terms of the pulling-up velocity. Unlike work proposed earlier, computationally expensive full-scale finite element runs are not essential in the current work while estimating the required parameters of the constitutive laws. Instead, mechanics-based computationally efficient surrogate model is proposed to readily estimate these constitutive parameters.

Two constitutive laws are compared on the basis of their predictions of the separation force profile. Excellent match is obtained between the measured and the predicted separation force profiles.

This paper selects a suitable mechanics-based model that can characterize the separation process and proposes a computationally efficient scheme to estimate the required constitutive parameters. The proposed scheme can be used to reliably predict the separation force for the constrained-surface SLA process, leading to improved productivity and reliability of the SLA processes in fabricating the built-up parts.

The purpose of this paper is to provide an overview of China's contemporary banking regulatory system, with particular focus on regulatory control of foreign banks trading in China. The paper addresses three aspects of Chinese banking regulation: what does China regulate; why does China regulate; and how does China regulate. Much of the discussion is concerned with China's regulatory agencies particularly with the role of the CBRC as the principal regulator in China's banking sector.

In the first instance the paper presents an overview of banking regulatory models gained from a review of theoretical literature in the area. Then through a wide ranging review of Chinese publications, both academic and official, the paper seeks to relate the course of regulatory reform in China, both in terms of compliance with orthodox regulatory theory, and the unique regulatory requirements of the Chinese banking system.

The paper recognises that China has embraced the need for banking regulation with the establishment of an institutional structure that is responsive to both banking supervision and government policy. Within that structure the role of the CBRC, the pervasive manner in which that agency operates, and the content of its regulatory output have been identified and critically reviewed.

In its review of the modernization of China's banking regulatory system, the paper achieves originality from the author's research into, and critical reflections on Chinese generated literature, both institutional and academic, which is then communicated in a manner that will be understood by readers familiar with Western banking regulatory theory.

The purpose of this paper is to put forward a demand chain management (DCM) framework underpinned by the alignment theory and applies it to investigate the fashion apparel (FA) industry in China under the impacts of the latest economic transition.

An exploratory multiple case study methodology involving five Chinese FA firms, each with a different business model and ownership type, was employed. Semi-structured interviews, onsite observations and review of company documents were conducted to collect information for analysis.

Using a conceptual DCM framework as a guide for analysis, the study finds that companies with a higher level of alignment with the external market situation and among the three internal DCM dimensions, namely, market management, supply chain management (SCM), and organization management, appear to perform better under the rapidly changing economic conditions in China.

This study contributes to knowledge by reviewing thoroughly the literature on SCM evolution and develops a DCM framework based on alignment theory that represents the state of the art in this area. By extending the administration-integration-production-development (A-I-P-D) logic set adopted in the alignment theory, this study has also equipped the proposed framework with an empirical tool to measure alignment.

By applying the framework to examine the Chinese apparel industry under the impacts of the latest economic transition, this study provides practitioners in the industry with a framework to help formulate strategies and a tool to measure alignment. The findings of the case study also offer insights to the industry to thrive in the rapidly changing businesses environment with dynamic uncertainties.

This study extends the application of the A-I-P-D logic set under the alignment theory to the SCM field. This endeavor successfully transforms the proposed DCM framework from a theoretical concept to a practical tool to help evaluate empirically the alignment and strategic fit of a firm and potential relationship with firm performance. As the Chinese FA market has increasingly evolved under the impact of the globalization, the findings of this study not only assist the local FA companies in coping with the dynamic uncertainties but also shed light on the future developments of the global FA industry. Besides, the alignment measurement tool embedded in the proposed DCM framework can help enhance the chances of business success during implementation.

The purposes of this study are to synthesize the current research findings reported in major hospitality and tourism journals and to discuss the knowledge gaps where additional research endeavors are needed.

A systematic review approach was adopted to analyze 67 research articles about online reviews that were published between January 2000 and July 2015 in seven major hospitality and tourism journals.

This study presents a thematic framework of online review research, which was advanced by integrating the interactions among quantitative evaluation features, verbal evaluation features, reputation features and social features of online reviews with important outcomes of consumer decision-making and business performance. The thematic framework helps researchers identify the areas in extant hospitality literature of online reviews and point out possible directions for future studies.

The systematic review approach has a qualitative nature, where relevant literature was interpreted based on the authors’ domain knowledge and expertise.

Practitioners can gain a comprehensive understanding of the dynamic relationships among the key influential factors in online reviews, as presented in the thematic framework of online review research. Accordingly, managers will be able to develop effective strategies to leverage the positive impacts of online reviews to the business outcomes.

This systematic review synthesizes the findings reported in most recent publications (January 2000-July 2015; also including “Online First” articles) in seven major hospitality and tourism journals and develops an integrated research framework, anchoring on four meta-research questions and showing the dynamic relationships among the key players/factors/themes in online review research. This framework provides a visual diagram to practitioners for a better understanding of the relevant literature and assists researchers in developing new research questions for future studies.

This study aims to explore how green supply chain management (GSCM) strategies can be effectively implemented for business supply chain operations, relationship management and product design to gain green competitive advantages.

An exploratory in-depth case study was conducted with one of the largest Chinese electronics manufacturers that is considered a leading GSCM adopter in the industry, to understand how the company adopts green supply chain practices across its multiple product lines.

The findings show that businesses can build different green focuses across GSCM elements of green operation, green relationship management and green product design to form diverse hybrid strategic solutions. They include green control, lean, leagile, agile and clean innovation while taking consideration of supply chain type and product lifespan. A taxonomy of four key GSCM strategic combinations is proposed based on the findings. The strategies align with green demand and supply chain characteristics balancing a series of business competitive objectives in terms of reducing pollution and waste, improving green cost efficiency, enhancing green demand innovation and building green service effectiveness.

This study lends insight into the strategic alignment relationships between product supply chain types and approaches to GSCM.

The findings of this study can support industry practitioners in formulating aligned GSCM strategies based on product types to achieve optimal results.

Optimised green supply chain design, operations and relationship management incorporating product attributes can help further minimise negative impacts of business activities on the environment.

This research provides a systematic understanding of how product supply chain types can influence GSCM strategy formulation. It gives a holistic picture of how hybrid choices of strategies with green supply chain operations, relationship management and product design can be formulated based on product and supply chain characteristics.

Too much reliance on information technology has given rise to technostress, which may impact the productivity of an individual. In case this is true, does it impact everyone equally, and if not, then what is behind this difference and how does this work? The purpose of the present research is to explore the role of proactive personality as a moderator to the relationship of individual productivity of an employee and the technostress. The study utilizes moderation technique to study and analyze the relationships.

The present work is an attempt to investigate the moderating role of proactive personality to the relationship between technostress and productivity by utilizing the concepts from person–environment fit model. Moderation analysis has been performed with the help of hierarchical multiple regression on the primary data collected via survey methods with the help of structure instruments.

A survey was conducted from 233 employees working at different levels in different organizations belonging to north-western parts of the country. After analyzing the randomly collected primary data, it was found that technostress impacts productivity negatively. It was also further established that relationship between technostress and individual productivity gets moderated by proactive personality.

Strategies concerning implementation and designing of a training program should be designed by being mindful of the individual personalities going to be trained.

From organizational point of view, a training program (made to introduce and implement some new technology in the organization) should be tailored by keeping individuals' personalities and their specific needs in mind.

This work is an important addition to the existing literature concerning technostress. Such work would help in understanding the difference that a human factor may have on the bearings of technostress on productivity and other such crucial outcomes, which has not been studied earlier in the present context.

To understand the unique context forming organizational learning, the current study aims to investigate the antecedents of training and development (TD) practices as an indicator of effective organizational learning from the Vietnam hospitality sector, which has not been studied rigorously.

This study adopts a mixed method of quantitative and qualitative data analysis, including a path analysis partial least squares structural equation modeling (PLS-SEM) based on a sample size of 354 responses and a semi-structured interview of 32 participants to test various paths predicting training effectiveness while exploring contextual differences in the Vietnam hospitality sector.

The results show that among the variables investigated, extrinsic motivation, team support and job quality were found to be significant to TD, while intrinsic motivation was found to have no significant predictive power. To explore the reasons behind these findings, the interviews indicate that the motivations of employees in the hospitality sector, most of whom are young and have a limited length of service, are highly rooted in the organization’s cultural context.

This study contributes to understanding the complex context of organizational learning through an investigation of an emerging economy from Southeast Asia by adding new insights into the training and motivational theories. It has practical implications for practitioners in the hospitality sector to develop more effective learning organizations during the uncertain period of this unprecedented pandemic.

Demonstrates that present technologies are sufficient to produce a household robot for the elderly or disabled, that is able to undertake a wide range of domestic chores and supply 24 hour care and companionship.

This study aims to measure the impact of loneliness, physical activity (PA) and self-esteem on the health of retired people and also checks the moderating role of living arrangements and gender of the elderly people on this relationship.

Four standardized scales were used in the study to measure four different constructs: Self-Worth Questionnaire, UCLA Loneliness Scale Version 3, General Health Questionnaire-28 and Physical Activity Scale for Elders. Structural equation modelling was applied to the four constructs.

The study concluded that loneliness has a negative and significant impact on the health of retired people, while self-esteem and PA have a positive and significant impact on their health.

The study is among the few to include multiple instruments to measure abstract parameters in the field of health care. The paper brings out implications not just for academicians but also for policymakers, considering the complex situation prevailing in the emerging economy.