Yaru Huang, Yaojun Ye and Mengling Zhou
This paper aims to build an improved grey panel clustering evaluation model and evaluate the comprehensive development potential of industrial economy, society and ecological…
Abstract
Purpose
This paper aims to build an improved grey panel clustering evaluation model and evaluate the comprehensive development potential of industrial economy, society and ecological environment in the Yangtze River Economic Belt of China. The purpose of this study is to provide some theoretical basis and tool support for management departments and relevant researchers engaged in industrial sustainable development.
Design/methodology/approach
This study uses the driving force pressure state impact response analysis framework to build a comprehensive evaluation index system. Based on the center point triangle whitening weight function, it classifies the panel grey clustering of improvement time and index weight.
Findings
The results show that there are great differences in the level of industrial ecological development in different regions of the Yangtze River Economic Belt, which further illustrates the scientificity and rationality of the evaluation method proposed in this paper.
Practical implications
Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. The improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.
Social implications
Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. In order to improve the effectiveness of industrial ecological evaluation, the improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.
Originality/value
the new model proposed in this paper complements and improves the grey clustering analysis theory of panel data, that is, aiming at the subjective limitation of using time degree to determine time weight in panel grey clustering, a comprehensive theoretical method for determining time weight is creatively proposed. Combining the DPSIR (Driving force-Pressure-State-Influence-Response) model model with ecological development, a comprehensive evaluation model is constructed to make the evaluation results more authentic and comprehensive.
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Kim-Lim Tan, Ivy S.H. Hii, Yijing Huang and Yaru Yan
Companies allowing employees to self-report business expenses face the risk of expense fraud because some occasionally engage in dishonest behavior to receive reimbursements for…
Abstract
Purpose
Companies allowing employees to self-report business expenses face the risk of expense fraud because some occasionally engage in dishonest behavior to receive reimbursements for their use. Drawing on the technology acceptance model, this study aims to investigate the effects of perceived usefulness, perceived ease of use and perceived security on the trust in e-reimbursement systems and the relationship with honest disclosure intention.
Design/methodology/approach
A self-administered questionnaire was distributed to 254 respondents, with the partial least squares structural equation modeling used to analyze the data.
Findings
The findings showed that perceived security and perceived usefulness explained trust in e-reimbursement systems, whereas perceived ease of use had no significant effect on it. Corporate governance and trust in e-reimbursement systems have a positive relationship with whistleblowing intention. At the same time, corporate governance mediates the relationship between trust in e-reimbursement systems and honest disclosure intention.
Originality/value
This study sheds light on using e-reimbursement systems within organizations to prevent fraudulent reimbursements and offers recommendations to management on enhancing employees’ intention to engage in honest disclosure behavior through e-reimbursement systems.
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Chen Li, Heng Wen, Kun Chen, Longxiao Zhang, Ting Xie, Yaru Shi and Junlong Zhang
This paper aims to develop a Mini-Tribometer for in-situ observation of subsurface.
Abstract
Purpose
This paper aims to develop a Mini-Tribometer for in-situ observation of subsurface.
Design/methodology/approach
To observe the change of the microstructure during wear in real time, an in-situ observation mini-tribometer was developed according to the requirements of the basic frictional experiments and carried out the verification experiments.
Findings
The subsurface images and the tribological data obtained from the mini-tribometer clearly show that the graphite in the matrix moves to the surface and takes part in lubrication mainly in the form of extrusion and peeling off, and the migration of graphite in the copper-based composite to the frictional interface to act as lubricant and to result in the decrease of the friction coefficient. The experimental results of the developed tribometer are accurate, which can provide important references for further research on the wear mechanism of materials.
Originality/value
The developed in-situ observation mini-tribometer can be used to observe the dynamic wear mechanism of the frictional pairs, which is very important for optimization of material design and tribological performances.
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Yaru Yang, Yingming Zhu and Jiazhen Du
The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper…
Abstract
Purpose
The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.
Design/methodology/approach
The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.
Findings
The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.
Originality/value
This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.
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Guowei Zhu, Yaru Liu and Li Zhou
Monetary incentives have been widely adopted by brands to promote consumer engagement in their brand communities on social networking sites. This paper aims to explore how the…
Abstract
Purpose
Monetary incentives have been widely adopted by brands to promote consumer engagement in their brand communities on social networking sites. This paper aims to explore how the interactions triggered by an emerging monetary incentive, red packets, affect consumers’ brand attitude in the context of WeChat brand groups (WCBGs).
Design/methodology/approach
According to whether brands ask for commercial returns from consumers, two types of interactions were identified, namely, exchange red packet interaction (ERPI) and communal red packet interaction (CRPI). The corresponding influences on brand attitude were examined in three experiments.
Findings
Compared to CRPIs, ERPIs elicit greater normative community pressure, inducing a less favorable brand attitude. Moreover, this impact is moderated by the time frame of brand communities. In the long-term WCBGs, a significant difference exists between ERPIs and CRPIs, while such difference attenuates or even disappears in short-term WCBGs.
Practical implications
When using red packets as an engagement strategy, brand managers should be alert to their potential negative influence. Specifically, in short-term brand communities, ERPIs enable managers to acquire commercial returns without hurting brand attitude. In long-term brand communities, managers are advised to implement CRPIs to foster a positive brand attitude.
Originality/value
This study investigates red packet interactions in brand communities, which have been widespread but unexplored. The results expand the literature by addressing the undermining effect of ERPI and the moderating effect of the time frame.
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Yuanyuan Fan, Tingyu Sui, Kang Peng, Yingjun Sang and Fei Huang
This paper aims to collect the energy consumption data and carry out energy consumption analysis of chemical enterprises, which is helpful to grasp the working conditions of each…
Abstract
Purpose
This paper aims to collect the energy consumption data and carry out energy consumption analysis of chemical enterprises, which is helpful to grasp the working conditions of each equipment accurately and to perfect the demand side management (DSM) for the user in the terminal.
Design/methodology/approach
The paper proposes a load monitoring system of chemical enterprises to collect the energy consumption data and carry out energy consumption analysis. An Elman neural network based on sparrow search algorithm is proposed to predict the power consumption change and distribution trend of enterprises in the future production cycle. The calculation efficiency and prediction accuracy have been significantly improved.
Findings
The paper analyzes the energy saving effect of energy efficiency management as well as “avoiding peak and filling valley” measures, and reasonable control requirements and assumed conditions are put forward to study the operability of enterprise energy saving measures from the DSM.
Research limitations/implications
Because of the chosen enterprise data, the prediction accuracy needs to be further improved. Therefore, researchers are encouraged to test the proposed methodology further.
Practical implications
The paper includes implications for the development of energy consumption analysis and load forecasting of chemical enterprises and perfects the DSM for the user.
Originality/value
This paper fulfills an identified need to study how to forecast the power load and improve the management efficiency of energy consumption.
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Banasree Dey, Jones Mathew and Chin Chee-Hua
Rural homestays have emerged as an interesting option for tourists. This study aims to assess the role of destination attractiveness factors and travel motivations in homestay…
Abstract
Purpose
Rural homestays have emerged as an interesting option for tourists. This study aims to assess the role of destination attractiveness factors and travel motivations in homestay choice. The moderating role of need for uniqueness towards enhancing these relationships is also examined.
Design/methodology/approach
A survey of 201 Indian tourists who had visited rural homestays in the Uttarakhand state of India was conducted. Data were analyzed using SPSS and WarpPLS, based on structural equation modelling approach.
Findings
Results indicate that two destination attractiveness factors – (a) cultural and rural attractions and (b) destination location and transportation – have a significant association with rural homestay choice. Further, need for uniqueness enhances the relationship between natural attractions and choosing rural homestays.
Originality/value
Although there are several studies on rural homestays, there is scant research on the factors influencing the choice of rural homestays from a tourists’ perspective. Besides, studies on rural homestay tourism have not assessed the role of need for uniqueness in influencing such choices. The implications of the study for destination marketers, homestay operators and owners are discussed which would hopefully aid in attracting discerning tourists to the rural homestays to such regions.
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Qian Zhou, Shuxiang Wang, Xiaohong Ma and Wei Xu
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in…
Abstract
Purpose
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.
Design/methodology/approach
Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.
Findings
The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.
Practical implications
The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.
Social implications
The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.
Originality/value
Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.
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The purpose of this paper is to explore the main benefits and risks of knowledge visualization in the current digital age.
Abstract
Purpose
The purpose of this paper is to explore the main benefits and risks of knowledge visualization in the current digital age.
Design/methodology/approach
The paper is based on a qualitative and explorative research to frame the benefits and risks of knowledge visualization. The emerging views of 57 small and medium-sized entrepreneurs (SMEs) managers are examined.
Findings
The findings reveal both benefits and risks related to knowledge visualization. The two aggregate dimensions (i.e. benefits and risks) are supported by six second-order and five second-order categories, respectively. On one side, the main benefits highlighted in the study are related to: stakeholder engagement, flexibility, knowledge transfer, signaling role, agility and interactivity; on the other side, the risks identified are related to: complexity, absorptive capacity, divergences, capabilities and ineffectiveness.
Originality/value
The research highlights novel insights in the emerging field of knowledge visualization and extends current literature. It provides useful implication from both a theoretical and practical point of view.
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Olumide Olusegun Olaoye, Monica Orisadare, Ukafor Ukafor Okorie and Ezekiel Abanikanda
The purpose of this study is to investigate the effect of government expenditure on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the…
Abstract
Purpose
The purpose of this study is to investigate the effect of government expenditure on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the period of 2005–2017. More precisely, this paper investigates whether institutional environment influences the effect of government spending on economic growth.
Design/methodology/approach
This study adopts the generalized method of moments-system method of estimation to address the problem of dynamic endogeneity inherent in the relationship. Similarly, unlike previous studies which assume that the disturbances of a panel model are cross-sectionally independent, we account for cross-section dependency and cross-country heterogeneity inherent in empirical modeling using Driscoll and Kraay's nonparametric covariance matrix estimator, adjusted for use with both balanced and unbalanced panels along with Monte Carlo simulations.
Findings
The authors find that though, government spending has a positive impact on economic growth but the level of institutional quality adversely affect that positive impact. This suggests that the institutional environment in ECOWAS countries is a drag and not a push factor for government fiscal operations and/policies. Thus, the results provide empirical evidence that there is a conditional relationship between government spending and economic growth in African countries. That is, the effect of government spending on economic growth is dependent on the quality of institutions. Lastly, these findings suggest that in order for government spending to contribute to economic growth, African countries must develop a strong institutional environment.
Originality/value
Unlike previous time series studies for African countries which concentrated on the two variable case, we include institutional quality as a third variable to underline the potential importance of institutional quality for economic growth in ECOWAS countries.