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The purpose of this article is to design and make fabrics with colorful melange yarns spun by a three-channel rotor spinning machine.

The three-channel digital rotor-spun machine controls the blending proportion by adjusting the feeding of three-primary color fiber slivers online, so that a piece of colorful yarn presents a variety of colors along the longitudinal direction where constant yarn linear density can be produced flexibly. Various fabric patterns can be produced by three-channel rotor-spun colorful melange yarn with different periods of color.

The fabric, made by the rotor-spun colorful melange yarn, is rich in color, clear in layers, soft in the hand and has a hazy three-dimensional effect. The product is environmentally friendly and saves energy.

An innovative idea to develop various colorful fabrics is proposed by combining their pattern with colorful melange yarn produced by a three-channel rotor spinning machine.

The vast majority of research on traditional leadership focuses on effective and positive leadership behavior. However, scholars have begun to pay attention to the impact of negative leadership behavior on employees and the organization. Hence, the main purpose is to examine the effects of abusive supervision. While the literature does not examine the time future orientation of the effects of abusive supervision, the purpose of this paper is to fill up this gap and examine the moderating role of future orientation.

A total of 584 valid questionnaires were collected from respondents aged between 21 and 30 years old and analyzed using the hierarchical regression and structural equation modeling method.

The main results show that abusive supervision positively affects counterproductive work behavior and future orientation positively moderates both the relationship between abusive supervision and originality behavior and the relationship between abusive supervision and organizational citizenship behavior (OCB).

This study demonstrates the moderating roles of future orientation in the effects of abusive supervision, and thus deepens the understanding of the moderating effect. It departs from the prior works and presents a more detailed examination examines the distinct dimensions of personality traits. It makes three main theoretical contributions. First, it introduces uncertainty management theory as a means to interpret the effects of abusive supervision. Second, it contributes to the literature on abusive supervision. Third, it does not lead to discovery as an OCB and originality, conclusions which differ from the results suggested in past literature.

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.

This paper aims to present the mixed elastohydrodynamic lubrication (EHL) model and obtain the leakage characteristics for the skeleton reciprocating oil seal.

The model consists of a finite element analysis of the contact pressure, a fluid mechanics analysis of the fluid film, a contact analysis of the asperity contact pressure, a deformation analysis of the seal lip and an iterative numerical simulation process.

Simulation results show that the leakage is in direct proportion to the seal roughness and speed, and in inverse proportion to the fluid viscosity. Comparisons with the experimental results verify the validity of the mixed EHL model.

This study provides a helpful method to calculate the leakage of the skeleton reciprocating oil seal, which shortens its development cycles.

With continuous concerning on the toxic of element Pb, Pb-free solder was gradually used to replace traditional Sn-Pb solder. However, during the transition period from Sn-Pb to Pb-free solder, mixing of Sn-Pb and Pb-free is inevitable occurred in certain products, and in China where Sn-Pb solder was still used extensively in certain areas especially. Correspondingly, understanding reliability of Sn-Pb solder joints was very important, and further studies were needed.

Thermal shock test between −55°C and 125 °C was conducted on Sn-37Pb solder bumps in the BGA package to investigate the microstructure evolution and the growth mechanism of interfacial intermetallic compound (IMC) layer. The effects of thermal shock on the mechanical property and fracture behavior of Sn-37Pb solder bumps were discussed.

Pb-rich phase was coarsened and voids were increased at first; Pb-rich phase was refined and voids were decreased secondly with the increase of thermal shock cycles; the shear strength of solder bumps was slightly decreased after thermal shock, but was back up to 73.67MPa at 2,000 cycles; interfacial IMCs of solder bumps was from typical scallop-type into smooth, the composition of IMCs was from Cu₆Sn₅ into Cu₆Sn₅ and Cu₃S_n after thermal shock with 1,500 and 2,000 cycles; 20.0 per cent of solder bumps at 1,500 cycles and 9.5 per cent of solder bumps at 2,000 cycles were failure respectively.

Compared with the board level test method, the impact shear test for the single solder bump is more convenient and economical and is actively pursued by the industries. The shear strength of solder bumps was slightly decreased after thermal shock, but was back up to 73.67 MPa at 2,000 cycles; 20.0 per cent of solder bumps at 1,500 cycles and 9.5 per cent of solder bumps at 2,000 cycles were failure.

This study aims to examine how operator type moderates the relationship between hotel information technology (IT) expenditures and operating performance.

By adapting and extending O’Neill et al.’s (2008) and Hua et al.’s (2015) research, this study constructed an empirical model and tested proposed hypotheses, with Newey and West (1994) errors computed to accommodate potential heteroscedasticity and autocorrelation issues.

Operator type moderates the impact of hotel IT expenditures on operating performance. In particular, it appears that the operator type of franchising exerts a stronger moderating effect compared with other operator types explored.

This study, as the first of its kind, shows that the choice of operator type shapes how a hotel can effectively use IT expenditures to improve operating performance. This finding can be beneficial for hotel owners when making operator type decisions. In addition, operator type moderates the direct impact of IT expenditures on revenues and gross operating income. This study’s results show that franchised hotels seem to use IT expenditures more effectively compared with independently owned hotels.

This study contributes both theoretically and practically to understand how operator type moderates the relationship between IT expenditures and hotel performance. The research outcome provides a more holistic view that governs the relationships between IT expenditures, operator type and operating performance.

This paper aims to examine the impacts of IT capabilities on hotel competitiveness.

This study adapts and extends Hua et al. (2015) and O’Neill et al. (2008) by incorporating the specific measures of IT expenditures as proxies for the relevant IT capabilities to explore the impacts of IT capabilities on hotel competitiveness.

This study finds that expenditures on IT Labor, IT Systems and IT Websites exert different impacts on hotel competitiveness. In addition, IT capabilities exert both contemporary and lagged effects on hotel competitiveness.

This study is the first that uses financial data to capture direct measures of individual IT capabilities and tests the individual impacts of IT capabilities on hotel competitiveness from both contemporaneous and lagged perspectives. It uses a large same store sample of hotels in the USA from 2011 to 2017; as a result, the study results can be reasonably representative of the hotel population in the USA.

本论文旨在检验IT能力对酒店竞争力的影响。

本论文延用 Hua et al. (2015) 和 O’Neill et al. (2008) 的研究, 结合IT支出的具体指标作为IT能力的指数, 以探索IT能力对酒店竞争力的影响。

研究发现支出对IT人力、IT系统、和IT网站对酒店竞争力有着不同的影响。此外, IT能力对酒店竞争力具有短期和长期的影响。

本论文是首篇使用财务数据来找出IT能力的指数并且检测IT能力对酒店竞争力短期和长期的具体影响。本论文使用美国2011年至2017年同一个酒店的大型数据; 因此, 研究结果可以代表美国酒店基本现状。

The purpose of this study is to present a holistic literature review on crime research in the hospitality and tourism field.

This literature review included 109 crime-related academic papers in seven primary sources, namely, ScienceDirect, EBSCOhost’s hospitality and tourism complete, Emerald Management eJournals, Sage Journals, Google Scholar, Scopus and Web of Science.

From the exploration and synthesis of 109 articles, the following categories of crime research in the hospitality and tourism field emerged as follows: classification of crime research in the hospitality and tourism field; diversity of tourists, crime and risk perceptions; the impacts of crime on the hospitality and tourism industry; and crime control from stakeholders’ papers. In addition, this study advances crime research by proposing six research priorities for future investigation.

Tourism stakeholders are advised to achieve better cooperation in crime control under the guidance of the crime prevention model. High-technology tools are encouraged to be applied to detect and track criminal activities. Meanwhile, diverse applications of the media should be used as useful tools to control criminal activities in the hospitality and tourism industry.

This paper fills a gap by presenting the first comprehensive overview of crime research in the hospitality and tourism field in the past few decades and proposing six priorities for this research stream.

The purpose of this paper is to assess the water resources vulnerability (WRV) rationally in Haihe River Basin (HRB) using set pair analysis (SPA) theory.

An improved intelligent set pair analysis (IISPA) model is established, in which intelligent SPA theory is introduced and the weights are determined by use of the maximum entropy principle and the improved analytic hierarchy process method. The index systems and criteria of WRV assessment in terms of water cycle, socio-economy, and ecological environment are established based on the analysis of sensibility and adaptability.

The authors apply IISPA to the WRV assessment of seven administrative divisions in HRB. Results show IISPA can fully take advantage of certain and uncertain information compared with fuzzy assessment and topsis assessment models. For present situation, Shanxi, Shandong, Tianjing, Inner Mongolia, Hebei are higher, Henan and Beijing are the middle vulnerability. But Henan will become worse under climate change scenario II and IV.

The analysis results may be affected by the limited climate change data.

It is helpful for further research to the complexity analysis of water resources system.

This paper will have an important impact on water resources sustainable utilization.

This is the first time to utilize IISPA method to analyze the WRV of seven administrative divisions in HRB. This paper provides an important theoretical support for water resources management.

This paper seeks to introduce an evolved hybrid genetic algorithm and neural network (GNN) model. The model is developed to predict contractor performance given the current attributes in a process to pre‐qualify the most appropriate contractor. The predicted performance is used to pre‐qualify the contractors.

Hypothetical and real‐life case studies from projects executed in the Gaza Strip and West Bank were collected through structured questionnaires. The evaluation of the contractor's attributes and the corresponding actual performance of the contractor in terms of time, cost, and quality overrun (OR) were collected. The weighted contractor's attributes were used as inputs to the GNN model. The corresponding time, cost, and quality ORs for the same cases were fed as outputs to the GNN model in a supervised learning back propagation neural network (NN). (The adopted training and testing process to develop a trained model is presented.) The training process, including choosing the topology of the required NN using genetic algorithms, is explained.

The results revealed that there is a satisfactory relationship between the contractor attributes and the corresponding performance in terms of contractor's deviation from the client objectives. The accuracy of the model in terms of mean absolute percentage error (MAPE), R², average absolute error and mean square error revealed that the model has sufficient accuracy for implementation. The average MAPE for time, cost and quality OR is 15 per cent. Consequently, the model accuracy is 85 per cent.

The GNN model is able to predict future contractor performance for given attributes.