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To protect industrial cultural heritage, the methods of overall protection and utilization of industrial heritage were put forward in the transformation and development of resource-based cities. Taking Chongqing, a famous old industrial city in China, as the research object, from the cultural heritage, history, architecture, urban planning and other disciplines, the construction of Chongqing industrial heritage protection theory and practice methods were explored to guide the protection and utilization of Chongqing industrial heritage. A progressive evaluation method from the whole to the local was established. Industrial cities, typical corporate and architectural heritage were evaluated. The overall characteristics of urban industrial development were reflected. The renewal of old industrial areas and the protection of industrial heritage were elaborated through the overall co-ordination of urban design and detailed planning. The results showed that it was the key to integrate the protection elements and requirements into the detailed urban control planning. Therefore, special planning plays an important role in protecting industrial heritage.

With society’s growing environmental concern, developing a green brand identity provides cities with opportunities to enhance their competitiveness. Nevertheless, few studies have explored green city branding and specifically considered the diverse perceptions of multiple stakeholders. Accordingly, this study aims to explore green city branding from the perceptions of multiple stakeholders.

Based on associative network theory, the study uses brand concept maps and network analysis approaches to construct and analyze the content and structure of mental models among local residents and foreign tourists for a green city brand. This study further seeks empirical support for the findings via a survey, using the sample case of Yilan County in Taiwan.

The results of this study reveal that foreign tourists possess a more diverse and heterogeneous brand perception than local residents. Additionally, the study uncovers significant green city brand associations regarding their influences on the behavioral decisions of local residents and foreign tourists.

This research is the first attempt to advance the knowledge of green city branding by empirically exploring the green city brand perceptions of multiple stakeholders based on associative network theory. The results provide brand researchers with different analytical perspectives on the existing knowledge about city brand perceptions and offer strategic information for city managers.

The main purpose of this study was to investigate how the experiential value of lodging tourists affected the relationship between authentic happiness and behavioural intention.

A purposive sampling technique was adopted for Taiwanese tourists with lodging experience during the 2017 Taipei International Travel Fair; and utilises confirmatory factor analysis (CFA), and structural equation modelling (SEM) to validate the suitability of questionnaire items, model fit, and the proposed hypotheses.

The results demonstrated that experiential value significantly and positively influenced authentic happiness. The mediating effect of authentic happiness through which experiential value enhances behavioural intention of lodging tourists was also found to exist.

This study provides a novel approach which presents experiential value as the antecedent variable, authentic happiness as the mediator, and behavioural intention as the dependent variable, in order to better understand tourists’ lodging decision-making processes and behaviours and this approach is considered an advancement within the literature.

本研究最主要的目的是在调查台湾住宿游客的体验价值如何影响真实快乐与行为意图之间的关系。

本研究采用目的抽样, 选取2017年台北国际旅展中有住宿经验的台湾游客为问卷受测对象, 并使用验证性因素分析（CFA）及结构方程模型（SEM）来验证模型的适合度及所提出的研究假设。

研究结果显示体验价值显著正向影响真实快乐, 同时也发现真实快乐的中介效果显著存在, 透过真实快乐的中介, 体验价值可以增强住宿游客的行为意图。

本研究提供一种新颖的途径, 将体验价值做为前因变数、真实快乐视为中介变数、及行为意图做为依变数, 以利于清楚了解游客的住宿决策过程和行为, 同时该途径在文献上被视为是一种进步。

El objetivo principal de este estudio fue investigar cómo el valor experiencial de los turistas de alojamiento afectó la relación entre la felicidad auténtica y la intención de comportamiento.

Se adoptó una técnica de muestreo intencional para los turistas taiwaneses con experiencia de alojamiento durante la Feria Internacional de Viajes de Taipei 2017; utilizando el análisis factorial confirmatorio (CFA) y el modelado de ecuaciones estructurales (SEM) para validar la idoneidad de los ítems del cuestionario, el ajuste del modelo y las hipótesis propuestas.

Los resultados demostraron que el valor experiencial influyó de manera significativa y positiva en la felicidad auténtica. También se descubrió que el efecto mediador de la felicidad auténtica a través del cual el valor experiencial mejora la intención conductual de los turistas de alojarse.

Este estudio proporciona un enfoque novedoso que presenta el valor experiencial como la variable antecedente, la felicidad auténtica como mediador y la intención de comportamiento como la variable dependiente, para comprender mejor los procesos y comportamientos de toma de decisiones de alojamiento de los turistas, y este enfoque se considera un avance dentro de la literatura.

The purpose of this paper is to offer a perspective of brand-based analysis on green brand positioning differentiation through a network analysis approach.

This study employs centrality and distinctiveness as bases to develop a matrix framework of green brand positioning differentiation. The two dimensions are measured from the techniques of network analysis, including analysis of the core-periphery structure and adjacency matrix.

The results yield four clusters with different positions in a 2×2 matrix, including 23 core brands with high-positioning distinctiveness, ten core brands with low-positioning distinctiveness, ten peripheral brands with high-positioning distinctiveness, and seven peripheral brands with low-positioning distinctiveness.

The results contribute to providing brand researchers with different analytical perspectives on the existing knowledge about green brand positioning and offer strategic positioning information for green brand practitioners.

This research contributes to the literature in three ways. First, this research is a first attempt to offer a brand-based perspective on differentiation of green brand positioning. Second, this research advances the existing knowledge that uses network analysis on green brand positioning by offering different techniques for brand differentiation analysis. Finally, this research complements the strategic positioning information of the current business environment in the context of green branding.

A brand community consists of relationships between a brand and consumers; community members’ identification with the brand community is a central characteristic of the community. This study aims to provide a comprehensive conceptual framework to investigate how and why such identification-based relationships yield firm- and member-level benefits to participants in the brand community.

This cross-sectional study analyzes data collected through a questionnaire survey of members from the brand community of VW-Golf Club members in Taiwan. The researchers attended the annual meeting of club members and handed out questionnaires directly to the members. The degree centrality of each member was calculated using UCINET 6 for Windows, a social network analysis software application. This study adopts the partial least squares program to evaluate the measurement properties and structural relationships specified in the research model.

The findings suggest that when customers’ identification with a brand community becomes salient, they strengthen their emotional attachment to the brand and improve their centrality in the network. Consequently, emotional attachment can serve as a guiding principle in decision-making and thus strengthen brand equity and assessment of brand extensions. Central members will also gain greater benefits, including collaborative opportunities and influence, through their advantageous position in the network.

This study makes four main contributions to the brand community literature. First, this is the first empirical study to simultaneously examine the relationships among community identification (customer to community), emotional attachment to the brand (customer to brand) and network centrality (customer to customer). Second, the empirical framework depicts dual value-creation routes that explain how identification-based relationships can yield firm- and member-level benefits. With respect to firm-level benefits, this is the first empirical study to examine the brand equity and assessment of brand extension in the brand community research. Third, this study applies the rarely adopted UCINET 6 software to scrutinize the network data from the brand community. Finally, this paper examines three actions that organizations can leverage to enhance consumer identification with a brand community.

This study aims to investigate the relations between long-window stock returns and prior years’ increases in DuPont identity components: profit margin and asset turnover. In particular, the authors examine the relative effectiveness of profit margin and asset turnover to predict years ahead stock returns.

To test the assertions, the authors regress raw, Capital Asset Pricing Model and Fama-French returns on controls and variables of interest, profit margin and asset turnover, lagged years t − 1, t − 2 and t − 3. To control for factors that could affect returns over the long windows, they also include returns lagged over years t − 1, t − 2 and t − 3 to coincide with the lagged profit margin and asset turnover variables of interest.

Results show a negative (positive) relation between returns and increases in lagged profit margin (asset turnover). However, the negative returns-profit margin relation is mitigated when increases in profit margin and asset turnover occur in the same lagged year.

This study adds to the existing body of research on the DuPont identity by temporally evaluating the relative long-run contributions of profit margin and asset turnover to firm value.

Optimized three-dimensional (3D) fracture networks are crucial for multistage hydrofracturing. To better understand the mechanisms controlling potential disasters as well as to predict them in 3D multistage hydrofracturing, some governing factors, such as fluid injection-induced stratal movement, compression between multiple hydraulic fractures, fracturing fluid flow, fracturing-induced microseismic damaged and contact slip events, must be properly simulated via numerical models. This study aims to analyze the stratal movement and microseismic behaviours induced by multistage propagation of 3D multiple hydraulic fractures.

Adaptive finite element–discrete element method was used to overcome the limitations of conventional finite element methods in simulating 3D fracture propagation. This new approach uses a local remeshing and coarsening strategy to ensure the accuracy of solutions, reliability of fracture propagation path and computational efficiency. Engineering-scale numerical models were proposed that account for the hydro-mechanical coupling and fracturing fluid leak-off, to simulate multistage propagation of 3D multiple hydraulic fractures, by which the evolution of the displacement, porosity and fracture fields, as well as the fracturing-induced microseismic events were computed.

Stratal movement and compression between 3D multiple hydraulic fractures intensify with increasing proximity to the propagating fractures. When the perforation cluster spaces are very narrow, alternate fracturing can improve fracturing effects over those achieved via sequential or simultaneous fracturing. Furthermore, the number and magnitude of microseismic events are directly proportional to the stratal movement and compression induced by multistage propagation of fracturing fracture networks.

Microseismic events induced by multistage propagation of 3D multiple hydraulic fractures and perforation cluster spaces and fracturing scenarios that impact the deformation and compression among fractures in porous rock matrices are well predicted and analyzed.

Information technology is widely applied for completing group tasks and enhancing learning in computer-supported collaborative learning (CSCL) environment. Group members not only complete tasks but also learn ideas from other members of the group. These ideas can be better than what individual could come up with. As these ideas are referred as an upward comparison in the perspective of social comparison theory. However, there are limited studies that provide evidence in investigating how social comparison orientation (SCO) perceived by individual learner impacts on learning and group performance. The paper aims to discuss these issues.

This study experimentally tackles this problem at both individual and group level. An experimental study was applied in this study. Structural equation modeling and hierarchical linear modeling approaches are used to validate the data.

Results of 168 subjects reveal that SCO does have associations with group performance and learning performance respectively. Discussions and implications for literature and practice are given at the end of the paper.

This study confirms that the social genesis occurs more effectively through social interactions in CSCL. It also extends our understandings about the impacts of SCO. Results reveal that the higher level of SCO adopted by group members, the higher level of social interactions at group level can be triggered. As a result, the group performance can be enhanced. On one hand, these findings bridge the research gap in terms of investigating the notion of SCT on CSCL. On the other hand, it provides a possible solution in alleviating the problem of social loafing as commonly observed in CSCL. Therefore, these findings fulfilled the two research objectives.

Social media-based brand communities (SMBBCs) have emerged as one of the most significant marketing tools due to their ability to create and maintain close relationships between SMBBCs and consumers. However, past studies have ignored intimacy toward SMBBCs, particularly the role of individual variances in their development. Researchers have revealed the significant impacts of individual differences in attachment styles on the development of brand–consumer relationships based on attachment theory. Accordingly, this study aims to explore the drivers of intimacy toward SMBBCs from the perspective of attachment theory.

This study examines a proposed model that integrates two attachment styles – attachment avoidance and attachment anxiety – self-disclosure on social media and intimacy toward SMBBCs through two samples in the context of brands’ Facebook fan pages.

The results show that attachment avoidance and attachment anxiety have significantly negative and positive effects on self-disclosure on social media, respectively, which contribute to intimacy toward SMBBCs.

The results offer brand managers significant implications for segmenting markets and developing relationship marketing strategies for their brand communities on social media.

This study is the first attempt to explore the driving factors of intimacy toward SMBBCs from the attachment theory perspective.

The purpose of this paper is to argue that, in situations where transformational leadership (TL) is in effect, perceived meaningfulness in work plays a vital role in generating intrinsic motivation among employees; specifically, this can influence employees to endeavor to benefit their organizations through engaging in voice behavior.

In this empirical study, a cross-sectional dyad questionnaire method was adopted to collect data from 172 employees from 40 companies.

The results show that perceiving work as meaningful is positively related, through a direct effect, to promotive and prohibitive voice behaviors. Further, employees perceiving their work as meaningful were found to fully mediate the relationship between TL and promotive voice behavior, but not prohibitive voice behavior. These results indicate that employees under TL who consider their jobs to be meaningful engage in more voice behaviors that might eventually benefit their organizations.

This study demonstrates that meaningful work is a considerable predictor of voice behavior. The results show that when a person experiences TL, it increases the chances that they perceive their work as meaningful, which in turn encourages them to engage in voice behavior that can benefit their organization. The findings from this research suggest that organizations can create “win-win” situations that benefit both their employees and the organizations themselves.