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1 – 6 of 6Jun Jin, Shijing Li, Zan Chen and Liying Wang
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has…
Abstract
Purpose
Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has yet remained implicit. Specifically, in the context of Chinese Privately Owned Enterprises (POEs), this study investigates the interrelationship of these two strategic responses during long-run crisis. Building on resource redeployment perspective, the authors propose that firms tend to simultaneously leverage innovating and exit responses.
Design/methodology/approach
The authors use the data from the 2010 Chinese POEs survey to verify how firms in the long-term crisis made strategic responses after the 2008 financial crisis. Besides, the authors utilize Probit regressions as the basic analysis and further employ bivariate Probit regressions to conduct robustness tests.
Findings
This study provides empirical evidence confirming that firms in the long-run period of the crisis tend to adopt both exit and innovating strategies at the same time, that is, the strategy of resource redeployment. Moreover, this study further finds that government subsidies, the degree of marketization and firm’s organizational capability could all accentuate the decision-making of firms’ resource redeployment.
Originality/value
The authors thus contribute to the study of strategic responses to crisis in strategic management by dynamically find out the interdependency of two responses and enrich the research on resource redeployment perspective by identifying three influential positive antecedents, adding to the ongoing investigation on positive drivers of resource redeployment.
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This study aims to investigate the effects of interaction in agricultural product live rooms, including personalization, responsiveness, and entertainment, on consumers’ purchase…
Abstract
Purpose
This study aims to investigate the effects of interaction in agricultural product live rooms, including personalization, responsiveness, and entertainment, on consumers’ purchase intention.
Design/methodology/approach
The SOR model has been applied to formulate hypotheses. This study is based on an online survey conducted with a sample of 433 valid questionnaires from Chinese consumers on the TikTok agricultural products live platform. A partial least squares structural equation modeling (PLS-SEM) is used to test the hypotheses.
Findings
The findings indicate that (1) interactions (personalization, responsiveness, and entertainment) in the agricultural products live room have a positive effect on perceived values (utilitarian value, symbolic value, and entertainment value); (2) utilitarian value positively affects purchase intention and mediates the effects of personalization and entertainment interactions on purchase intention, respectively; (3) entertainment value positively influences purchase intention and mediates the influence of entertainment interaction on purchase intention.
Originality/value
This study offers theoretical insights into live marketing of agricultural products and practical implications for practitioners of agricultural products in live streaming commerce.
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Yanwei Dai, Libo Zhao, Fei Qin and Si Chen
This study aims to characterize the mechanical properties of sintered nano-silver under various sintering processes by nano-indentation tests.
Abstract
Purpose
This study aims to characterize the mechanical properties of sintered nano-silver under various sintering processes by nano-indentation tests.
Design/methodology/approach
Through microstructure observations and characterization, the influences of sintering process on the microstructure evolutions of sintered nano-silver were presented. And, the indentation load, indentation displacement curves of sintered silver under various sintering processes were measured by using nano-indentation test. Based on the nano-indentation test, a reverse analysis of the finite element calculation was used to determine the yielding stress and hardening exponent.
Findings
The porosity decreases with the increase of the sintering temperature, while the average particle size of sintered nano-silver increases with the increase of sintering temperature and sintering time. In addition, the porosity reduced from 34.88%, 30.52%, to 25.04% if the ramp rate was decreased from 25°C/min, 15°C/min, to 5°C/min, respectively. The particle size appears more frequently within 1 µm and 2 µm under the lower ramp rate. With reverse analysis, the strain hardening exponent gradually heightened with the increase of temperature, while the yielding stress value decreased significantly with the increase of temperature. When the sintering time increased, the strain hardening exponent increased slightly.
Practical implications
The mechanical properties of sintered nano-silver under different sintering processes are clearly understood.
Originality/value
This paper could provide a novel perspective on understanding the sintering process effects on the mechanical properties of sintered nano-silver.
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Shifang Zhao, Xu Jiang and Yoojung Ahn
Research on the effect of executive equity incentives is equivocal. Based on agency theory, some scholars take the convergence of interest logic to highlight the benefits of…
Abstract
Purpose
Research on the effect of executive equity incentives is equivocal. Based on agency theory, some scholars take the convergence of interest logic to highlight the benefits of executive equity incentives. In contrast, others adopt the entrenchment logic to emphasize the increased agency costs. This study attempts to reconcile the debate on executive equity incentives and integrates the opposing views to unveil how executive equity incentives impact corporate social responsibility (CSR) performance.
Design/methodology/approach
Using the panel dataset of Chinese A-share listed firms from 2006 to 2022, this study integrates the convergence of interest and entrenchment logic to examine how executive equity incentives affect CSR performance.
Findings
We find that the relationship between executive equity incentives and CSR performance follows an inverted U-shaped form. According to the convergence of interest logic, executive equity incentives reduce agency costs when allocating resources to engage in CSR activities and enable firms to increase their CSR investments, ultimately realizing increased CSR performance. After a threshold, however, the accumulation of extensive equity incentives causes the entrenchment effect, resulting in declined CSR performance. Our empirical results also shed new light on its contingent perspective – the inverted U-shaped relationship is attenuated when firms’ stock liquidity is high.
Originality/value
This study attempts to reconcile the debate on executive equity incentives and integrates the opposing views to unveil the inverted U-shaped relationship between executive equity incentives and CSR performance. Our study opens promising avenues for further research on corporate governance and CSR strategies.
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Lu Wang, Jiahao Zheng, Jianrong Yao and Yuangao Chen
With the rapid growth of the domestic lending industry, assessing whether the borrower of each loan is at risk of default is a pressing issue for financial institutions. Although…
Abstract
Purpose
With the rapid growth of the domestic lending industry, assessing whether the borrower of each loan is at risk of default is a pressing issue for financial institutions. Although there are some models that can handle such problems well, there are still some shortcomings in some aspects. The purpose of this paper is to improve the accuracy of credit assessment models.
Design/methodology/approach
In this paper, three different stages are used to improve the classification performance of LSTM, so that financial institutions can more accurately identify borrowers at risk of default. The first approach is to use the K-Means-SMOTE algorithm to eliminate the imbalance within the class. In the second step, ResNet is used for feature extraction, and then two-layer LSTM is used for learning to strengthen the ability of neural networks to mine and utilize deep information. Finally, the model performance is improved by using the IDWPSO algorithm for optimization when debugging the neural network.
Findings
On two unbalanced datasets (category ratios of 700:1 and 3:1 respectively), the multi-stage improved model was compared with ten other models using accuracy, precision, specificity, recall, G-measure, F-measure and the nonparametric Wilcoxon test. It was demonstrated that the multi-stage improved model showed a more significant advantage in evaluating the imbalanced credit dataset.
Originality/value
In this paper, the parameters of the ResNet-LSTM hybrid neural network, which can fully mine and utilize the deep information, are tuned by an innovative intelligent optimization algorithm to strengthen the classification performance of the model.
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Nugun P. Jellason, Ambisisi Ambituuni, Douglas A. Adu, Joy A. Jellason, Muhammad Imran Qureshi, Abisola Olarinde and Louise Manning
We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.
Abstract
Purpose
We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.
Design/methodology/approach
As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.
Findings
The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.
Research limitations/implications
Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.
Originality/value
The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.
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