Jinhua He, Jiaxin Xiang and Jing Wang
This study explores the influence of heritage brand extension on consumer purchase intention and analyses the effects of pop culture involvement. The extension of heritage brands…
Abstract
Purpose
This study explores the influence of heritage brand extension on consumer purchase intention and analyses the effects of pop culture involvement. The extension of heritage brands is becoming increasingly difficult because such an extension needs to be consistent with the unique characteristics of brands and resonate with consumers. However, few scholars discuss the influence of consumers' level of pop culture involvement on brand extension and purchasing behaviour.
Design/methodology/approach
Taking time-honoured brands as an example, this study established a conceptual model based on a comprehensive review of the literature, and then tested the model using a sample of 255 respondents who were familiar with one of the selected Chinese time-honoured brands. Structural equation modelling was used to analyse the relationships amongst brand extension fit, pop culture involvement, perceived value and purchase intention.
Findings
Time-honoured brand extension fit has a positive impact on consumer purchase intention, and this path is significantly influenced by the mediation mechanisms of perceived value. Situational pop culture involvement can significantly strengthen the relationship between time-honoured brand extension fit and perceived value, whereas enduring pop culture involvement does not.
Originality/value
The results clarify and expand on the different roles of cultural involvement in time-honoured brands and broaden research on the influence of cultural involvement in this regard. This study has significant theoretical value for the inheritance and revival of heritage brands and provides a reference for the practice of time-honoured brands.
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While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known…
Abstract
Purpose
While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.
Design/methodology/approach
Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.
Findings
The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.
Originality/value
This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.
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Deyu Wu, Ding Wang, Daliang Yang, Ye Jinhua and Haibin Wu
The tactile sensor with array structure normally has the defects of existing nondetection zone, complex and nonstretchable structure. It is difficult to seamlessly attach to the…
Abstract
Purpose
The tactile sensor with array structure normally has the defects of existing nondetection zone, complex and nonstretchable structure. It is difficult to seamlessly attach to the surface of the robot. For this reason, this paper proposes a method to prepare nonarray structure tactile sensor directly on the surface of the robot by spraying process.
Design/methodology/approach
Based on the principle of gradient potential distribution, the potential fields are constructed in two different directions over the conductive film in time-sharing. The potentials at touching position in the two directions are detected to determine the coordinate of the touching point. The designed tactile sensor based on this principle consists of only three layers. Its bottom layer is designed as a weak conductive film made of graphite coating and used to construct the potential field. It can be sprayed either on PET substrate or directly on robot surface.
Findings
The radial basis function neural network is used for remodeling the potential distribution, which can effectively solve the problem of nonlinear potential distribution caused by irregular sensor shape, and uneven conductivity at different points of the spraying coating. The simulation and experimental results show that the principle of the proposed tactile sensor used for touching position detection is feasible to be applied to complex surfaces of the robot.
Originality/value
This paper proposed a nonarray customizable tactile sensor based on the spraying process. The sensor has a simple structure, and only five lead wires are needed to realize the coordinate detection of the touch position.
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Wenkun Zhang, Jinhua Chu, Tao Zhang and Yanan Wang
In contrast to existing studies, this paper aims to propose that digital transformation does not depend on a single condition; rather, it depends on the interaction between…
Abstract
Purpose
In contrast to existing studies, this paper aims to propose that digital transformation does not depend on a single condition; rather, it depends on the interaction between internal and external factors of a firm. Therefore, the aim of this paper is to examine the effect of a combination of internal and external factors on a firm's digital transformation intention.
Design/methodology/approach
An empirical analysis on a sample of 112 Chinese small- and medium-sized firms was conducted by applying smart-PLS and fuzzy set qualitative comparative analysis (fsQCA).
Findings
The results of smart PLS show that external pressures (institutional and market pressures) and human capital have a positive impact on corporate digital transformation intentions. From a combination perspective, the results of the fsQCA show that there are five causal conditions that lead to high digital transformation intention. In contrast to the net effect, the results of fsQCA show that different combinations of states of internal (human capital, organizational culture and technological capital) and external elements (institutional and market pressures) of the firm are likely to stimulate digital transformation intention.
Originality/value
This study provides empirically based insights into firms' digital transformation intentions and advances the current understanding of the drivers and inhibitors of digital transformation. Unlike most current research, which tends to focus on the net effect of factors influencing the digital transformation of enterprises, this study focuses on identifying the core elements influencing enterprises' digital transformation intention, especially the joint effect of different factors, both internal and external to the enterprise. The combined SEM and fsQCA findings of this paper not only enrich the existing theories on digital transformation but also have high value in guiding the digital transformation of firms.
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Ying Guo, Dongpo Xia, Binghua Sun, Xi Wang, Dao Zhang and Jinhua Li
Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental…
Abstract
Purpose
Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental potentiality. The purpose of this paper is to apply three-dimensional (3D) ecological footprint theory to assess the effects of production and consumption on ecological systems in Hefei, China.
Design/methodology/approach
Using data for Hefei for the period 2005-2014, an ecological footprint model (EFM) was developed to calculate the area’s ecological footprint (EF), ecological carrying (EC) capacity and obtain two indices, namely, footprint depth and size. The relationship between economic development and natural resource utilization was subsequently evaluated based on the calculated ecological deficit and the EF demand per Renminbi 10,000 of gross domestic product (GDP).
Findings
Over the last decade, Hefei’s EF per capita evidenced a 9.87 percent growth rate, increasing from 1.16 hm2/person in 2005 to 2.70 hm2/person in 2014. EC capacity per capita increased from 0.21 hm2/person in 2005 to 0.36 hm2/person in 2014, evidencing a gradually increasing trend at an average annual growth rate of 6.24 percent. Thus, between 2005 and 2014, the ecological deficit increased annually by three times. The amplification of footprint depth significantly exceeded that of footprint size. Between 2005 and 2014, Hefei’s EF per capita Renminbi 10,000 of GDP decreased annually by 4.68 percent. Thus, energy consumption in Hefei exceeded the natural regeneration capacity of energy resources, with excessive development and resource utilization impacting on the regional ecological system.
Practical implications
The application of a 3D EFM sheds light on natural resource utilization within regional development. Moreover, footprint depth and size are significant predictors of the impacts of natural resource utilization. These findings will also benefit other countries or cities.
Originality/value
This is one of the first empirical studies to apply a 3D EFM to evaluate the relationship between natural resource utilization and economic development. Adopting a sustainable development framework, it provides insights into the effects of natural resource utilization in relation to the balance between the natural ecological system and economic development. This has far-reaching implications beyond Hefei and China.
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Atif Saleem, Sarfraz Aslam, Guoyuan Sang, Philip Saagyum Dare and Tianxue Zhang
This study aims to understand the practices and perceptions of education for sustainable development (ESD) in the university classrooms of Malaysia, exploring how holistic…
Abstract
Purpose
This study aims to understand the practices and perceptions of education for sustainable development (ESD) in the university classrooms of Malaysia, exploring how holistic, pluralistic and action-oriented approaches to ESD were linked to their knowingness, attitudes and behavior regarding sustainability.
Design/methodology/approach
The perceptions of 2,678 students and 1,013 teachers from a range of undergraduate and postgraduate courses at four Malaysian universities were surveyed. Their views of ESD and sustainability consciousness (SC) were recorded on five-point Likert-type scales, and the resulting data was investigated using descriptive and analytical statistics.
Findings
Holistic, pluralistic and action-oriented approaches to ESD teaching and learning were widespread in Malaysian universities, with significant associations found between ESD approaches and SC. While all three approaches enhanced each aspect of SC, the results indicated the need to develop action-oriented approaches more fully.
Originality/value
This research underlines the importance of sustainability education in the context of higher education. It provides empirical evidence for developing action-oriented approaches to ESD and confirms the utility of holistic content and pluralistic pedagogy to the teaching and learning of sustainability.
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Jie Sun, Hui Li, Pei-Chann Chang and Qing-Hua Huang
Previous researches on credit scoring mainly focussed on static modeling on panel sample data set in a certain period of time, and did not pay enough attention on dynamic…
Abstract
Purpose
Previous researches on credit scoring mainly focussed on static modeling on panel sample data set in a certain period of time, and did not pay enough attention on dynamic incremental modeling. The purpose of this paper is to address the integration of branch and bound algorithm with incremental support vector machine (SVM) ensemble to make dynamic modeling of credit scoring.
Design/methodology/approach
This new model hybridizes support vectors of old data with incremental financial data of corporate in the process of dynamic ensemble modeling based on bagged SVM. In the incremental stage, multiple base SVM models are dynamically adjusted according to bagged new updated information for credit scoring. These updated base models are further combined to generate a dynamic credit scoring. In the empirical experiment, the new method was compared with the traditional model of non-incremental SVM ensemble for credit scoring.
Findings
The results show that the new model is able to continuously and dynamically adjust credit scoring according to corporate incremental information, which helps produce better evaluation ability than the traditional model.
Originality/value
This research pioneered on dynamic modeling for credit scoring with incremental SVM ensemble. As time pasts, new incremental samples will be combined with support vectors of old samples to construct SVM ensemble credit scoring model. The incremental model will continuously adjust itself to keep good evaluation performance.
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ShanLiang Zhang, Yongwei Wang, Jinhua Ye and Yiru Li
The purpose of this paper is to explore the combined influence of exchange quality (i.e. leader-member exchange or LMX, and coworker exchange or CWX) and organizational identity…
Abstract
Purpose
The purpose of this paper is to explore the combined influence of exchange quality (i.e. leader-member exchange or LMX, and coworker exchange or CWX) and organizational identity on the relationship between authoritarian leadership and employee innovation based on social cognition theory and social exchange theory.
Design/methodology/approach
The authors used mediation analysis, moderation analysis and bootstrapping method to test the proposed model with data from 286 supervisor-subordinate dyads in China, covering manufacturing and Internet companies. This study also used the time-lag design, and the questionnaires were collected by means of multi-source and multiphase.
Findings
The results indicate that authoritarian leadership can positively influence employee innovation behavior, and organizational identity mediates this relationship. Both LMX and CWX can significantly moderate the relationship between authoritarian leadership and organizational identity, while the moderating effect is the opposite. To be specific, CWX has appositive effect, while LMX has a negative effect. Furthermore, the indirect effect of authoritarian leadership on employee innovation behavior via organizational identity is also moderated by LMX.
Originality/value
At present, scholars have not yet reached a consensus on the relationship between authoritarian leadership and employee innovation behavior. Based on social cognition theory and social exchange theory, this study incorporates organizational identity and exchange quality into the research model to explore this lack of consensus. By verifying the research model, this study offers original views on when and how authoritarian leadership and exchange quality affect employee innovation behavior, which enriches the current research on employee innovation and the effectiveness of authoritarian leadership in different cultural contexts.
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Jinhua Xu, Jiaye Zhang and Xiaoxia Li
New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital…
Abstract
Purpose
New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital transformation, understanding their impact on NQPF is essential. This study explores whether digital M&As enhance NQPF in firms and identifies key mechanisms that drive this effect.
Design/methodology/approach
This study investigates the impact of corporate digital M&As on NQPF using a multi-period difference-in-difference (DID) methodology. Analyzing a sample of Chinese listed firms from 2011 to 2021, the study explores how digital M&As contribute to NQPF, identifying firm innovation and data assets as key mechanisms. It also examines how external factors, such as industrial structure, urban human capital and economic policy uncertainty, moderate the effect of digital M&As on NQPF.
Findings
The study reveals three key findings: (1) Digital M&As significantly enhance corporate NQPF; (2) innovation and data assets serve as key mechanisms through which digital M&As drive NQPF and (3) external factors, including industrial structure, urban human capital and economic policy uncertainty, amplify the positive effects of digital M&As on NQPF.
Practical implications
Firms should leverage digital M&As as a strategic tool for improving NQPF, focusing on innovation and data assets. Policymakers can support this transformation by fostering an environment that enhances the positive impact of digital M&As on economic development.
Originality/value
This paper introduces a novel NQPF index, offering a comprehensive measurement of the concept. It provides new insights into how digital M&As affect NQPF, filling a gap in the literature on digital transformation and offering actionable recommendations for firms and policymakers.