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The purpose of this paper is to focus on the investigation of nanomechanical behavior of new types of metal alloys protective coatings. For this purpose, poly(n-butylacrylate) was synthesized via activators regenerated by electron transfer-atom transfer radical polymerization and mixed with epoxy resins, and microcomposites.

Multi-layered coatings were applied on hot dip galvanized steel via a baker film applicator. Every layer containing the aforementioned copolymer differs in the proportion of the epoxy resin resulting in the production of a coating with a gradient from hard to soft from the substrate to the top. Nanomechanical performance is accessed via nanoindentation, providing information for structural and mechanical integrity, adhesion and resistance to wear.

The results reveal that through trajection of hardness mapping, the resistance is divided in three regions, namely, the polymer (matrix), interface (region close to/between spheres-shells) and spheres-shell regions.

The structural analysis, adhesion and mechanical integrity of the coatings are clearly demonstrated.

Semantic categorization of Web services comprises a fundamental requirement for enabling more efficient and accurate search and discovery of services in the semantic Web era. However, to efficiently deal with the growing presence of Web services, more automated mechanisms are required. This paper aims to introduce an automatic Web service categorization mechanism, by exploiting various techniques that aim to increase the overall prediction accuracy.

The paper proposes the use of Error Correcting Output Codes on top of a Logistic Model Trees-based classifier, in conjunction with a data pre-processing technique that reduces the original feature-space dimension without affecting data integrity. The proposed technique is generalized so as to adhere to all Web services with a description file. A semantic matchmaking scheme is also proposed for enabling the semantic annotation of the input and output parameters of each operation.

The proposed Web service categorization framework was tested with the OWLS-TC v4.0, as well as a synthetic data set with a systematic evaluation procedure that enables comparison with well-known approaches. After conducting exhaustive evaluation experiments, categorization efficiency in terms of accuracy, precision, recall and F-measure was measured. The presented Web service categorization framework outperformed the other benchmark techniques, which comprise different variations of it and also third-party implementations.

The proposed three-level categorization approach is a significant contribution to the Web service community, as it allows the automatic semantic categorization of all functional elements of Web services that are equipped with a service description file.

The purpose of this study is to explore the impact of service quality on the formation of destination brand equity through customer satisfaction at a winery, from the perspective of Chinese wine tourists.

This study utilized a survey research design. A convenience sample of 311 visitors to a major winery located in Yantai, China, was surveyed, and 265 useable questionnaires were analyzed. To analyze the data, the study used partial least squares structural equation modeling (PLS-SEM).

The results of the study reveal that service quality at a winery is a significant determinant of winery satisfaction among Chinese wine tourists, which in turn affects the brand equity of a wine tourism destination.

This study contributes to the growing body of literature focusing on identity-based branding in the context of wine tourism. As such, this study brings together knowledge of a place branding dimension (i.e. destination brand equity), satisfaction and tourism experience at a winery.

The results suggest that the road to favorable assessments of a wine destination brand (macro level) go through a satisfying experience at a winery (micro level). Therefore, the need to co-create the wine experience through various stakeholders' involvement is crucial for the success of wine tourism.

Extant wine studies often highlight western wine tourists' behavior and examine central behavioral constructs such as winery service quality and satisfaction. This study extends previous research by: (1) investigating the issue from Chinese wine tourists' perspective and (2) integrating the destination brand equity of a wine region to current investigations that commonly focus on the service quality of a winery and wine tourists' satisfaction.

World Heritage sites (WHS) can play an important role in promoting visitation to emerging and remote destinations. Guided by the theory of planned behaviour (TPB), this study aims to investigate factors that predict intentions to visit WHS.

Survey questionnaires were used to collect data from visitors (n = 519) to four Western North American WHS. Partial least squares structural equation modelling (PLS-SEM) was used to identify three reflective models (attitude toward visiting World Heritage, perceived behavioural control and intention to visit WHS in the future), three formative models (attitude toward World Heritage designation, social influence (subjective norms) to visit World Heritage and World Heritage tourism brand equity) and a structural model.

World Heritage tourism brand equity and social influence were strong positive predictors of intentions to visit WHS in the future. Attitudes towards World Heritage designation, followed by World Heritage travel attitudes and perceived behavioural control, were progressively weaker, yet positive predictors. However, the latter two concepts’ impact was negligible.

This study addresses four deficiencies in tourism studies: TPB studies have failed to find consistent predictors of intentions to visit destinations; very few studies have attempted to verify the factors that predict visitation to WHS, despite the opportunities and costs that can arise from WHS-related tourism; few studies of tourists’ perceptions of World Heritage and related WHS travel intentions have been conducted in North America; and PLS-SEM was used to perform statistical methods not commonly used in tourism studies including formative models, importance-performance mapping and confirmatory tetrad analysis.

世界遗址（WHS）对于提高新兴和偏远地区的游览率起到重要作用。本论文以计划行为理论（TPB）为理论基础，研究游览WHS的动机因素。

本论文采用问卷采样形式，519名游览四个美国西北部WHS公园的游客为问卷样本。本论文采用偏最小二乘回归（PLS-SEM）分析数据，(a) 确立三个反应性测量模型（WHS游览态度、感知行为控制、未来WHS游览意向），(b) 确立三个形成性测量模型（WHS游览态度、WHS游览的社会影响力（主观规范）、以及WHS旅游品牌资产），以及(c) 验证一个结构模型。

世界遗产旅游品牌资产和社会影响力是未来游览WHS意向的有效动力。世界遗产目的地的态度，由世界遗产旅游态度和感知行为控制所主导，也有着对未来游览WHS意向的积极促进作用，但是作用相对较弱。然而，世界遗产旅游态度和感知行为控制并未发现对未来游览WHS意向有直接决定作用。

本论文弥补了旅游研究中的四大不足：(a) TPB研究未能找出旅游目的地游览意向的一致的决定因素; (b) 几乎没有文献试图验证WHS游览意向决定因素，尽管这将对WHS相关旅游业的机遇和成本控制有着重大意义; (c) 有关世界遗产和相关WHS旅游意向的研究还尚未在北美地区开枝散叶; (d) 本论文借用PLS-SEM方法来分析数据，包括验证形成性测量模型、重要性-绩效画图分析法、以及四分子分析法等，这在旅游文献中不常见。

品牌态度，世界遗产，旅游意向，TPB，品牌资产，品牌忠诚度

Many REpresentational State Transfer (RESTful) Web services suffered from anti-patterns problem, which may diminish the sustainability of the services. The anti-patterns problem could happen in the code of the programme or the uniform resource identifiers (URIs) of RESTful Web services. This study aims to address the problem by proposing a technique and an algorithm for detecting anti-patterns in RESTful Web services. Specifically, the technique is designed based on URIs parsing process.

The study was conducted following the design science research process, which has six activities, namely, identifying problems, identifying solutions, design the solutions, demonstrate the solution, evaluation and communicate the solution. The proposed technique was embedded in an algorithm and evaluated in four phases covering the process of extracting the URIs, implementing the anti-pattern detection algorithm, detecting the anti-patterns and validating the results.

The results of the study suggested an acceptable level of accuracy for the anti-patterns detection with 82.30% of precision, 87.86% of recall and 84.93% of F-measure.

The technique and the algorithm can be used by developers of RESTful Web services to detect possible anti-pattern occurrences in the service-based systems.

The technique is personalised to detect amorphous URI and ambiguous name anti-patterns in which it scans the Web service URIs using specified rules and compares them with pre-determined syntax and corpus.

The purpose of this paper is to investigate the attitudes of staff and students towards adopting the use of e-portfolios for the purposes of supporting the concept of personal development planning (PDP). The study compares and contrasts the views and opinions of staff and students at one UK Higher Education Institution (HEI) about whether e-portfolios can support PDP.

Adopting a case study approach, this study presents empirical data gathered from two surveys involving 460 students and 182 lecturers from one UK HEI, collected from four different campuses across the West of Scotland.

The results of the surveys showed that the framework the authors used in the research to collect information about students and staffs attitudes was effective and that further research is merited for a more extensive investigation into PDP e-portfolio usage within HEI.

The research was conducted at only one UK HEI so at this stage of the research, it is difficult to assess how generalisable the findings are.

This study provides useful empirical evidence to educators who may be considering employing e-portfolios within an educational context. For example, the views of students and staff identified in this paper can aid towards informing educators about some of the issues that might impact on using e-portfolios for supporting PDP in higher education.

To the best of the authors’ knowledge, this is the first work that presents survey data on both students’ and lecturers’ attitudes towards e-portfolio use to support and facilitate PDP.

This study aims to examine the mediating effect of four antecedents of competitive advantage on the linkage of risky strategy to firm performance, measured by revenue dynamics. It considers the roots of competitive advantage to highlight different patterns and foundations of achieving superior performance. It investigates whether pursuing a risky strategy fosters revenue dynamics growth and whether different mediators are included in that relationship.

Path analysis (structural equation modeling) method is used to analyze data from 122 companies of various sizes and industries. All respondents were responsible for executing strategic management processes. The paper used the subjective perspective, which is based on the individual opinion of senior company managers and owners.

The authors find a positive relationship between risky strategy and firm performance, but no evidence of a mediating role of competitive advantage and dynamic growth in this relationship. Competitive advantage should be perceived as a set of integrated factors that can be analyzed from an aggregated perspective. Integrating all antecedents requires a holistic and systematic approach and the development of a particular mindset. Aggregated competitive advantage is related to setting dynamic growth as a priority. However, no relationship between risky strategy and achieving competitive advantage, or between implementing a risky strategy and setting dynamic growth as a priority, is observed, which was assumed to explain the revenue dynamics growth.

Secondary data should be analyzed to explore how risky strategies are manifested, and which managerial decisions are reflected in high-level risk. A multidimensional scale could be developed to check how risk shapes the constructs’ interdependence. Therefore, the dynamic capabilities approach could be further expanded.

This research offers insights into the short-term relationship between risky strategy and revenue dynamics, although competitive advantage does not mediate that relationship. Special attention should be paid to the selected antecedents of competitive advantage, as they influence dynamic growth.

This work provides insights into different antecedents of competitive advantage, which is not necessarily based on making risky decisions, and into factors that facilitate firm performance measured by revenue dynamics.

The purpose of this paper is to investigate how an E-retailer's assistive intent impacts the perceptions and behaviours of online shoppers. The paper introduces a model that explains and examines the process through which the perceived assistive intent of an E-retailer leads to improved patronage intentions towards the web site.

A survey on the most recent e-purchase experiences of more than 600 individuals in North America was conducted. Structural equation modelling based on EQS 6.1 was used to assess the measurement and structural models.

Results indicated that customers’ impressions of an E-retailer's assistive intent positively impact web site patronage intentions both directly and indirectly through two key constructs of e-shopping, including web site involvement and web site attitudes.

The student sample is not representative of the population. Students are familiar with internet and feel less need for assistance online. Another shortcoming might be its settings. Since the survey was on the respondents’ most recent online experiences, the data quality depends on the amount and accuracy of the information they could retrieve from memory.

The findings suggest that E-retailers would highly benefit from investing in the development of an assistive image. To do so, E-retailers should leverage the interactive nature of the web and provide supportive tools that facilitate the e-shopping task of clients.

Developing impressions of the site's assistive intent is highly rewarding for E-retailers that are new to the business.

This paper represents the first effort to link the newly developed construct of E-retailer's assistive intent to two fundamental variables of online shopping, including web site involvement and web site attitudes. This work would also be an extension of the past studies that call for further investigation of the link between customer orientation and customer's loyalty intentions.

Advergames have attracted the attention of scholars and practitioners as a new way of increasing customer engagement and advertising effectiveness. Gamified ads provide an exciting and persuasive environment for customers rather than non-gamified advertisements. Despite the growing spending on advergames projects, the understanding of customer attitude regarding advergames has received less attention and there are not enough studies about advergames. Therefore, the purpose of the current study is to design a novel TAM-based model of determinants of customer attitudes toward advergames to enhance customer engagement and purchase intention.

To obtain this end, the mixed method was applied. In the first step, the main determinants of customer attitude towards advergames were identified by a literature review as well as semi-structured interviews. In the second step, the proposed technology acceptance model (TAM)-based model was validated by survey method through players of advergames. A total of 15 interviews were conducted in the qualitative phase and 102 completed questionnaires were analyzed in the survey method.

The results of the qualitative approach indicate that the main determinants of attitude towards advertisements can be classified into three categories, which are added to TAM as external variables. The results of the survey approach reveal that advertising content and game-related factors have a significant positive effect on perceived ease of use (PEOU). The advertising content and player-related factors also significantly affect perceived usefulness (PU). PU and PEOU also positively and significantly affect customer attitude. The findings show that the new TAM-based model can be considered as a robust model for explaining customer attitude toward advergame acceptance.

The research findings can assist digital marketers to have a big picture of customer attitudes regarding advergames and implement these innovative digital-enabled advertising strategies successfully. The findings further suggest considering marketing/advertising aspects and game-related aspects as well as individual factors to design advergames.

Advergames have become one of the priorities for digital marketers to enhance brand awareness and customer engagement, yet there is no study identifying determinants of attitude by considering multi-aspects of advergames. The most important theoretical contribution of the current study is to design a new extended TAM-based model which integrates behavioral variables (PEOU and PU) with factors related to the advergames context.