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A study was conducted to determine the relationship between a firm's role in the competitive environment and the appropriate strategies to use. Using firms sampled from China, it was found that market‐oriented and relationship marketing‐oriented strategies are both important for market leaders, and market‐oriented strategies are the best for market challengers, while relationship marketing‐oriented strategies serve market followers and market nichers best.

Business practitioners are increasingly concerned about stakeholder issues. Although stakeholder orientation (StkO) has important bearings on a company's performance, to date no systematic attempt has been made to develop a valid scale of StkO, or to assess its influence on business performance. The present paper aims to look into ecological validity by attempting to construct and validate the StkO scale developed in China.

Given the literature reviewed, a model is proposed of company performance based on StkOs, which is identified as a one‐dimensional construct consisting of four components. Using a survey design, data were collected from 400 firms in three most important commercial cities of Mainland China with a response rate of 25 percent. Both item analysis and split‐half method were used to purify the measurement scale and to assess its stability. An exploratory factory was used to assess the dimensionality. Its result was subject to a confirmatory factory analysis using AMOS 4.01, which examined the construct, convergent and discriminant validities of StkO. The nomological validity of the scale was assessed by constructing a structural equation model with encouraging indices of goodness of fit.

The findings support the assertion that StkO is a multi‐facet construct consisting of four dimensions. The data indicate that these components are convergent on a common construct and that the relationship of the scale developed in this paper has acceptable discriminant validity and nomological validity.

For practicing managers, the findings reconfirm the long‐held belief that StkO is a crucial factor for business performance. First, the proposed scale could be used as a diagnostic tool to identify areas where the specific improvements are needed and to pinpoint aspects of a firm's StkO that require work. Second, the four components in the StkO model may serve to identify training needs by helping human resources managers so as to better develop a relationship with various stakeholders. Finally, firms may use this framework to develop relevant and effective business strategies and tactics and to set clear policies that balance the relationships and benefits among customers, shareholders, and employees.

Aims to develop an efficient and robust system for real‐time personal identification by automatic face recognition.

A wavelet‐based image hierarchy and a guided coarse‐to‐fine search scheme are introduced to improve the computation efficiency in the face detection task. In addition, a Gabor‐based low feature dimensional pattern is proposed to deal with the face recognition problem.

The proposal of a wavelet‐based image hierarchy and a guided coarse‐to‐fine search scheme is effective to improve the computation efficiency in the face detection task. The introduction of a low feature dimensional pattern is powerful to cope with the transformed appearance‐based face recognition problem. In addition, the use of aggregated Gabor filter responses to represent face images provides a better solution to face feature extraction.

Provides guidance in the design of automatic face recognition system for real‐time personal identification.

Biometrics recognition has been emerging as a new and effective identification technology that attains certain level of maturity. Among many body characteristics that have been used, face is one of the most commonly used characteristics and has drawn considerably large attentions. An automated system to confirm an individual's identity employing features of face is very attractive in many specialized fields.

Introduces a wavelet‐based image hierarchy and a guided coarse‐to‐fine search scheme to improve the computation efficiency in the face detection task. Introduces a Gabor‐based low feature dimensional pattern to deal with the face recognition problem.

The purpose of this paper is to make up the deficiency of theoretical research in nostalgic marketing and is helpful for the original theories of brand marketing and experiential marketing to deepen further.

The paper uses the approach of the empirical study. Based on the literature review, a theoretical model of the impact of nostalgic emotion (NE) on brand trust and brand attachment is constructed and corresponding research hypotheses are proposed. Then nostalgia-themed restaurants are selected to complete a questionnaire survey, and SPSS22.0 and LISREL8.70 are used for data analysis and hypothesis testing.

The results of the paper show that NE consists of four dimensions in the context of China: atmosphere nostalgia, interpersonal nostalgia, family nostalgia and personal nostalgia. Among these, NE has a significant positive impact on brand trust and brand attachment; further, brand trust has a significant positive impact on brand attachment and plays a partial mediating role in the impact of NE on the latter.

As the nostalgic restaurant industry is the research object, the theoretical model described here may be limited to this specific industry. The potential applicability of the theoretical model to other service industries requires further study.

The results of the paper are helpful in building a good nostalgic experience, increasing consumer trust in restaurant brands, and strengthening the connection between NE and restaurant brand reconstruction.

The results of the paper on the impact of NE on brand trust and brand attachment provide a referential basis and guide for services’ companies (e.g. restaurants) to revitalize the services’ brands.

The first contribution is that NE scale is constructed for the nostalgia-themed restaurants. The second contribution is that the paper reveals the mechanism of the impact of NE on brand trust and brand attachment.

Construction managers face many work-related stressors induced by unrealistic schedule expectations, tight budgets, and long hours. Over time, these stressors can result in both mental and physical exhaustion, a condition referred to as burnout. Early-career managers are a key worker demographic, as they represent the near-term future of the construction industry, yet they have a high risk for burnout. The purpose of this study is to explore the prevalence of burnout in new construction managers, and to identify which individual or work-related factors are associated with feelings of burnout.

Using the Maslach Burnout Inventory General Survey (MBI-GS), data from 146 early-career professionals (less than 10 years of experience) with construction management degrees in the USA were collected and analyzed using correlational and best subset regression techniques.

The results show that the early-career demographic in the USA experiences both the Emotional Exhaustion and Cynicism dimensions of burnout at comparable levels to prior studies with more mid-to-late career respondents. However, the Professional Efficacy dimension was significantly higher in early-career professionals than any other sample. No individual factors, such as gender, marital status, or number of children, were predictive of any dimension of burnout. Instead, only work-related factors including co-worker friendliness, opportunities for personal development and promotion, and the ability to control the work pacing were strongly associated with one or more dimensions of burnout.

This study is the first to explore burnout in the key early-career demographic for construction managers in the United States construction industry. This work provides evidence that organizational policies and culture have a greater efficacy in alleviating burnout in this demographic, when compared to the work–life balance of the individual.

This study investigates the impact of cultural distance on foreign box office performance of East Asian cinematic production in European markets. Predicated on two dimensions of a film's cultural specificity, namely content- and aesthetics-based components, this research advances current knowledge on the moderating effects of cultural specificity.

The authors compile a data set of 515 East Asian films released in European countries during the 2010–2018 period. Data are analyzed by hierarchical linear modeling.

Results show that cultural distance plays a negative role in affecting foreign box office performance and that aesthetics specificity of films weakens such a relationship, while content specificity of films can further strengthen the relationship.

The findings suggest that cultural specificity is a crucial element and a relevant marketing tool in the cross-country film trade. Film producers and distributors need to consider both distribution strategy and intercultural context in order to align effectively with differing cultural distance and specificity.

This study proposes a new categorization framework of cultural specificity and demonstrates the moderating roles of content and aesthetics specificity on the relationship between cultural distance and films' foreign box office performance. It offers implications for both theory and practice in global film marketing and trade.

Since the launch of the Mainland and Hong Kong Closer Economic Partnership Arrangement (CEPA) in 2003, Hong Kong cinema is believed to have confronted drastic changes. Hong Kong cinema is described to be dying, lacking creative space and losing local distinctiveness. A decade later, the rise of Hong Kong – China coproduction cinema under CEPA has been normalized and changed the once pessimism in the industry. The purpose of this paper is to demonstrate how Hong Kong cinema adjusted its production and creation in the first 10 years of CEPA.

Beginning with a review of the overall development, three paradigmatic cases are examined for reflecting upon what the major industrial and commercial concerns on the Hong Kong – China coproduction model are, and how such a coproduction model is not developed as smooth as what the Hong Kong filmmakers expected.

Collectively, this paper singles out the difficulties in operation and the limit of transnationality that occur in the Chinese context for the development of Hong Kong cinema under the Hong Kong – China coproduction model.

This is the author’s research in his five-year study of Hong Kong cinema and it contributes a lot to the field of cinema studies with relevant industrial and policy concern.

This paper aims to offer a succinct description of the Vioxx recall in 2004 and discuss the fundamental reasons why Merck got into this trouble.

A review of literature has been conducted to provide key facts about the Vioxx disaster and to shed light on the operations of its maker Merck. The Vioxx recall case is analyzed from a perspective including both company profits and public interest.

Merck aggressively marketed an unsafe drug, under the brand name Vioxx, without properly disclosing its serious side effects to consumers. After the facts were revealed, the company faced costly lawsuits, angry investors and falling profits. This case clearly shows how a disaster can occur when a company becomes greedy and seeks undeserved profits at the expense of ethics and social responsibility.

Building a successful and competitive business requires managers to make decisions that balance profit and social responsibility. When business managers run their business solely for profit, problems will almost certainly occur. Such problems can cause severe damage not only to the company's customers but also to the company itself.

Vioxx is one of the biggest marketing mistakes in recent business history. This paper provides valuable learning insights and should be useful to corporate executives, government regulators and business scholars.

Despite the extensive academic interest in social media sentiment for financial fields, multimodal data in the stock market has been neglected. The purpose of this paper is to explore the influence of multimodal social media data on stock performance, and investigate the underlying mechanism of two forms of social media data, i.e. text and pictures.

This research employs panel vector autoregressive models to quantify the effect of the sentiment derived from two modalities in social media, i.e. text information and picture information. Through the models, the authors examine the short-term and long-term associations between social media sentiment and stock performance, measured by three metrics. Specifically, the authors design an enhanced sentiment analysis method, integrating random walk and word embeddings through Global Vectors for Word Representation (GloVe), to construct a domain-specific lexicon and apply it to textual sentiment analysis. Secondly, the authors exploit a deep learning framework based on convolutional neural networks to analyze the sentiment in picture data.

The empirical results derived from vector autoregressive models reveal that both measures of the sentiment extracted from textual information and pictorial information in social media are significant leading indicators of stock performance. Moreover, pictorial information and textual information have similar relationships with stock performance.

To the best of the authors’ knowledge, this is the first study that incorporates multimodal social media data for sentiment analysis, which is valuable in understanding pictures of social media data. The study offers significant implications for researchers and practitioners. This research informs researchers on the attention of multimodal social media data. The study’s findings provide some managerial recommendations, e.g. watching not only words but also pictures in social media.

Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well as the moderating role of organizational inertia.

Using survey data collected from 170 Chinese manufacturing firms, we performed polynomial regression and response surface analyses to test our hypotheses.

We find that the congruence between AI and explorative learning enhances firms’ supply chain resilience, while the incongruence between these two factors impairs their supply chain resilience. In addition, compared with low–low congruence, high–high congruence between AI and explorative learning improves supply chain resilience to a greater extent. Moreover, organizational inertia attenuates the positive influence of the congruence between AI and explorative learning on supply chain resilience, while it aggravates the negative influence of the incongruence between these two factors on supply chain resilience.

Our study expands the literature on supply chain resilience by demonstrating that the congruence between a firm’s AI (i.e. technical aspect) and explorative learning (i.e. social aspect) boosts its supply chain resilience. More importantly, our study sheds new light on the role of organizational inertia in moderating the congruent effect of AI and explorative learning, thereby extending the boundary condition for socio-technical system theory in the supply chain resilience literature.