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Reports a study of 1,304 Chinese brand names of ten types of products in China. These brand names are content analyzed following a linguistic approach which the authors developed from their earlier studies. The ten types of brand names are presented in three broad categories representing the three different developing stages of the consumer product industry in China: brands of traditional products (illustrated by matches and spirits), brands of traditional products with current development (illustrated by bicycles, shoes, and toothpastes), and brands of new and modern products (illustrated by cosmetics, soft drinks, washing machines, refrigerators and TV sets). The conclusion drawn from the analysis is that one of the variables in determining how linguistic principles are being applied to Chinese brand naming is the respective stages of development of such products in the context of the Chinese market economy.

This is the third of a series of studies on Chinese brand naming using content analysis from a linguistic perspective. The first study generalized the principles guiding Chinese brands in terms of syllable pattern, tone pattern, compounding structure and semantic preference. The second looked at specific branding rules, focusing on two entirely different products: cosmetic products and bicycles. The present study, following the same linguistic framework of analysis, analyzes three groups of closely related products: spirits, beers, soft drinks, to see how these brands are creatively and distinctively constructed. Finds that the brand naming patterns of the three drinks are basically in agreement with the general Chinese branding principles, and the differences among them directly reflect the development, the consumer markets and characteristics of each product.

Brand names contribute to product success. Studies on brand naming have been mainly conducted in western countries with western European languages and few researchers have focused on how cultural and linguistic diversity is related to brand naming. Attempts to fill the gap by investigating the linguistic content of brand names in the People’s Republic of China. Analyses over 500 brand names of Chinese award‐winning products. Generalizes the characteristics of Chinese brand naming and identifies the preferred syllabic, tonic, semantic and morphological structures. Aims to provide guidance to local marketers to generate a good Chinese brand name in their culture and international marketers to properly localize an international brand in Chinese words in order to enhance business success in the Chinese market.

This research measured and compared the brand identity of Kentucky Fried Chicken (KFC) in China and the United States. Brand identity was defined as the customer impressions of four different KFC identity elements – properties, products, presentations, and publications. A survey of young consumers in the two countries (n = 795), showed that the Chinese respondents were more apt to eat within KFC restaurants, and spend more time doing so, than the Americans. The Chinese also had much more positive impressions of KFC than their US counterparts. Brand identity impressions were correlated with overall customer satisfaction and with future patronage intentions for both groups, but much more so for the Americans. These findings support a model where differences in cultural frames of reference lead consumers to actively localize the brand identity of this nominally globalized product.

This paper aims to shed some new light on the mixed findings of previous empirical studies on the effect of knowledge search breadth (SB) on firms’ 2019 innovation performance (IP).

The paper adopts a contingent approach that examines the two organizational factors in determining the shape of the SB-IP curve. The empirical study is based on survey data gathered from 414 Chinese firms. In dealing with concerns on simultaneity and reverse causality, perceived time-lag between outcome variable and explanatory variables was introduced.

This study reveals that knowledge novelty and absorptive capacity are two functions underlying the SB-IP relationship. The results also indicate that innovation orientation and firm age moderate the SB-IP relationship in different ways: the more innovation-oriented the firm, the steeper the inverted U-shaped SB-IP relationship will be, while the older the firm, the flatter the SB-IP relationship will be. Interestingly, there is strong evidence for the shape-flip phenomenon of the SB-IP curve: SB has an inverted U-shaped effect on IP when a firm is young; however, SB has a U-shaped effect when the firm is older than 37 years.

By revealing two underlying functions and two moderators of the association between SB and IP at the firm level, this paper contributes to shed some new light to the mixed results reported by previous empirical studies that have examined the effect of knowledge search on firm innovation.

Contractor selection is critical in green buildings (GBs) since the preferred contractor has the responsibility to achieve construction sustainability as well as relationship sustainability. The developer satisfaction reflecting requirements can boost the cooperative relationship among stakeholders and act as an evaluation scale for the success of GB projects, which needs to be emphasized in the selection process but little involved in the existing research. This study explores improving GB contractor (GBC) selection by integrating developer satisfaction into selection procedures.

A systematic framework of GBC selection including twenty-five criteria from literature review and experts survey is firstly constructed. Both tactical and strategic criteria are further classified into Kano categories (must-be, one-dimensional, and attractive categories) using the fuzzy Kano model (FKM), and weighted by the developer satisfaction index. The model proposed by this study combining FKM and TOPSIS divides the selection process into the filtration phase and selection phase by Kano categories. The proposed model is finally verified through performance comparison among multiple methods in a case.

Selection criteria are measured linearly and nonlinearly, showing criteria having nonlinear satisfaction change accounts for two-thirds of all. Criteria at tactical level tend to be must-be or one-dimensional categories for the developer, and most strategic criteria are classed as the attractive category, indicating that adding strategic criteria is necessary for long-term cooperation. The proposed model, using developer satisfaction to improve the selection process, ensures the selected GBC to be the most satisfactory with requirements of the developer and makes the performance of GBCs easily distinguishable.

This study contributes to the existing body of knowledge for promoting relationship sustainability by supplementing an integrated model with emphasis on developer satisfaction in GBC selection, so as to establish a good initial foundation due to the match between performances of GBCs and needs of developers. It not only helps maximize developer satisfaction in GBC selection by applying satisfaction to pre-construction management, but also instructs GBCs to prioritize performance improvements. The framework is also conducive for developers to classify selection criteria and select other participants (like green suppliers) from the satisfaction perspective in GBs.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

This paper reports on a critical literature review, which aimed to identify, understand and qualify barriers that hinder the release of open government data (OGD) in China. Moreover, the purpose of this paper is to develop and propose a theoretical framework, which can be adopted as a basis for empirical investigation in the future, and to articulate mitigating strategies.

This study adopted an inductive qualitative approach, retrieving 42 academic articles from three main Chinese academic databases: CNKI, Wanfang and CQVIP. A thematic analysis approach was employed for the literature analysis.

The literature analysis pointed to 15 barriers to the release of OGD in China. Furthermore, the barriers emerged in the following three main themes: institutional barriers, data integrity and quality barriers, and user participation barriers.

This paper reports on one of the early research efforts into the problems of releasing OGD in China. Although this study focusses on Chinese context and issues, the findings and lessons learnt can be shared across international borders.

Based on the emerging stream of research in moral psychology and behavioral ethics which shows that accessibility of moral constructs influences ethical decisions, judgments, and behaviors, perceived deviance tolerance (PDT) is defined as “leaders’ tolerance of deviance perceived by employees.” The purpose of this paper is to propose and empirically test a theoretical model that explains how and why PDT influences employees’ moral psychology and behaviors in interpersonal contexts.

The study takes 298 leaders and 429 employees from 16 large Chinese enterprises as samples.

Results across two studies provide consistent support for the proposed model and advance our understanding about how employees’ perception of leaders’ deviance tolerance influences their negative and positive behaviors.

Thus, findings of this research contribute to knowledge on the interpersonal effects of cognition in employees’ behaviors and enrich the application of social control theory.

This study aims to provide a theoretical basis to evaluate the suitability and integrity of corrosion pipes.

The three-dimensional models of the P110S oil pipe with local corrosion damage, general corrosion damage, pitting corrosion damage are established based on the API 579 standard using the nonlinear finite element analysis method for parametric research.

The reliability of the model is verified based on the experimental data from the existing literature. The effects of the oil pipe’s size and the corrosion damage’s type on the residual internal pressure strength are simulated and obtained. What’s more, a basic method for predicting the remaining life of corrosion damaged pipes is proposed.

The authors evaluated the residual strength of various corroded tubing, compared the tubing with different corrosion types and proposed a basic method for predicting the remaining life of the corroded tubing from the corrosion depth.