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1 – 10 of over 2000Zhi-Jian Xu, Li Wang and Jing Long
The purpose of this paper is to investigate whether the Boardroom heterogeneity affects IPO underpricing for entrepreneurial firms, where Boardroom heterogeneity was classified in…
Abstract
Purpose
The purpose of this paper is to investigate whether the Boardroom heterogeneity affects IPO underpricing for entrepreneurial firms, where Boardroom heterogeneity was classified in terms of functional background, educational background, age and length of tenure.
Design/methodology/approach
A national research design was conducted using data collected from 355 firms listed on China’s Growth Enterprise Market from its start in 2009 to 2012.
Findings
The author found that IPO underpricing has a significant negative correlation with functional heterogeneity, a positive correlation with educational heterogeneity, a significant negative correlation with age heterogeneity, but it does not show significant correlation with heterogeneity in tenure. Board heterogeneity affects IPO underpricing of entrepreneurial firms partially, which means functional, educational and age heterogeneity conveys signals to potential investors regarding a firm’s quality.
Research/limitations/implications
More entrepreneurial firms in more years for data and long-term performance research design in future research would be required for further understanding of the relationships among the variables in this study.
Practical/implications
This paper suggests that IPO firms may make use of such an influencing mechanism to determine the issue price or to control the IPO underpricing by showing the Boardroom heterogeneity.
Originality/value
This paper revealed the influence of the characteristics of board members of such firms on IPO underpricing, which is rare in recent studies comparing to the study for the top management team; also this study provides empirical support for such effect.
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Ruhong Liu, Jing Long and Longjun Liu
How to improve the resilience of service firms in the crisis, such as the COVID-19 epidemic, to maintain a sustainable competitive advantage becomes a growing concern worldwide…
Abstract
Purpose
How to improve the resilience of service firms in the crisis, such as the COVID-19 epidemic, to maintain a sustainable competitive advantage becomes a growing concern worldwide. Digital platform capability (DPC) provides a series of opportunities and advantages for service firms to shape resilience in the crisis. This study aims to clarify the effect and mechanism of DPC on service firms’ resilience, and provides a new mediator (strategic learning [SL]), as well as two boundary conditions (legal inefficiency [LIE] and legal incompleteness [LIC]).
Design/methodology/approach
Questionnaires were used to obtain firm data, and executives answered these key questions. Data from 293 service firms during the COVID-19 period were used for hypothesis testing.
Findings
DPC was positively related to the adaptive capacity (AC) and planning capacity (PC) of service firms. SL mediated the positive effect of DPC on the AC and PC of service firms. The positive effect between DPC and SL was weakened when LIE and LIC were high.
Practical implications
This study suggests that it is a very desirable measure to improve DPC to gain organizational resilience (OR) in the crisis. In addition, a SL process in the crisis is crucial, because service firms need to absorb key strategic information from digital platforms to cope with uncertainty. The services firms need to realize that the benefits of DPC will be weakened in the dysfunctional institutional environment of LIE and LIC.
Originality/value
To the best of the authors’ knowledge, this study is the first to link the DPC with the resilience of service firms, and provides a new explanation mechanism and some boundary conditions for this important relationship. Furthermore, this study takes a step forward, because these efforts respond to the widespread call of the literature on digitalization and OR, and provide new insights for understanding digital resilience.
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Longjun Liu, Qing Fan, Ruhong Liu, Guiqing Zhang, Wenhai Wan and Jing Long
This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of…
Abstract
Purpose
This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.
Design/methodology/approach
Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.
Findings
Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.
Practical implications
These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.
Originality/value
Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.
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Longjun Liu, Jing Long, Qing Fan, Wenhai Wan and Ruhong Liu
This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core…
Abstract
Purpose
This study aims to explore the influence mechanism of digital platform capability on firm performance in the business-to-business (B2B) context. This study draws on the core competence theory and the resource-based view and includes resource identification, resource allocation and intrapreneurship into the research framework.
Design/methodology/approach
Data were collected from 167 B2B firms with survey questionnaires in central, eastern and southeastern coastal areas of China. The firms were mainly involved in e-commerce, manufacturing, service industry and internet technology. Participants were mainly middle and senior managers with a comprehensive grasp of their firms’ information.
Findings
This study found that digital platform capability has a positive impact on a B2B firm’s performance. Resource identification, resource allocation and intrapreneurship play a chain mediating role between digital platform capability and firm performance. That is, digital platform capability could promote employee intrapreneurship through resource identification and resource allocation, thereby improving firm performance.
Practical implications
Aiming to gain performance, firms should pay attention to the construction of digital platforms, increase venture capital investment and provide more resources to support intrapreneurship.
Originality/value
Based on empirical evidence, to the best of authors’ knowledge, this is the first attempt to link digital platform capability and firm performance in the B2B context of emerging markets, providing a new perspective to clarify its relationship mechanism.
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Longjun Liu, Qing Fan, Ruhong Liu and Jing Long
This study aims to examine how and when leader bottom-line mentality (BLM) affects employee innovation (EI) in the context of Chinese organisations in which psychological contract…
Abstract
Purpose
This study aims to examine how and when leader bottom-line mentality (BLM) affects employee innovation (EI) in the context of Chinese organisations in which psychological contract breach (PCB) is a mediator and moral identity (MI) is a moderator.
Design/methodology/approach
The authors distributed the questionnaires to technology and culture firms in 2 waves and obtained a sample of 308 employees in 56 teams. The authors used the hierarchical linear model (HLM) and bootstrap method for the hypothesis testing.
Findings
The authors conclude that leader BLM negatively influences EI. Specifically, leader BLM leads mainly to low EI by increasing PCB amongst employees. Moreover, MI plays a moderating role in the above mechanism, i.e. the higher the MI degree of employees, the stronger the mediating role of PCB and the stronger the negative impact of leader BLM.
Practical implications
This study argues that BLM is necessary for firm development, but paying too much attention to BLM may achieve the opposite effect. Reducing BLM or buffering the negative impact of BLM through various measures (e.g. human resource management) is appropriate for managers.
Originality/value
The authors discover a new mechanism and boundary condition, i.e. leader BLM has a negative impact on EI through PCB and MI strengthens the effect of leader BLM.
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Keywords
Longjun Liu, Jing Long, Ruhong Liu, Qing Fan and Wenhai Wan
This study aims to examine how and when digital platform capabilities drive technological innovation from a strategic information perspective, regarding information flow and…
Abstract
Purpose
This study aims to examine how and when digital platform capabilities drive technological innovation from a strategic information perspective, regarding information flow and information quality as mediators and business intelligence analytics as a moderator.
Design/methodology/approach
This study engaged corporate executives in surveys and obtained 182 firm data and then tested the hypotheses using linear regression models and the robustness using the structural equation model.
Findings
Digital platform capabilities drive corporate technological innovation through access to strategic information, i.e. strategic information mediates between digital platform capabilities and technological innovation. Business intelligence analytics increases the influence of strategic information on technological innovation.
Practical implications
This study underlines the importance for companies to construct digital platform capabilities to access strategic information to achieve technological innovation and the role of business intelligence analytics in processing strategic information.
Originality/value
This study finds a new perspective, strategic information, to explain the mechanisms by which digital platform capabilities drive firms’ technological innovation. In addition, the robustness of the resource-based view in understanding digital platform capabilities is stressed.
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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Abstract
Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
Corporate social responsibility is widely seen as a benefit to companies seeking competitive advantage. For many companies now, corporate environmental responsibility is the next step towards becoming competitively sustainable.
Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
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Keywords
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Abstract
Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
A study from China of workers in technology and cultural firms has shown bottom-line mentality (BLM) has a negative impact on employee innovation. This happens because it increases psychological contract breach (PCB) between management and employees.
Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
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Keywords
Guangjin Chen, Peng Lu, Zeyan Lin and Na Song
This paper aims to introduce the history and major achievement of the Chinese private enterprise survey (CPES), which is one of the most enduring large-scale nationwide sample…
Abstract
Purpose
This paper aims to introduce the history and major achievement of the Chinese private enterprise survey (CPES), which is one of the most enduring large-scale nationwide sample surveys in China, providing important micro firm-level data for understanding and studying the development of Chinese enterprises and entrepreneurs over the past 26 years.
Design/methodology/approach
The main body of this paper is based on a bibliometric analysis of all literature using CPES until 2017.
Findings
This paper discusses problems that users may encounter during data mining. By doing so, it can assist other researchers to get a better understanding of what has been done (e.g. journals, topics, scholars and institutions) and do their research in a more targeted way.
Research limitations/implications
As members of the survey project team, the authors also take a prospect of the future data design and use, as well as offer some suggestions about how to use the CPES data to improve high-quality development and business environment evaluation in China.
Originality/value
This paper is the first to provide an overall picture of academic papers in China and abroad that have used the CPES data.
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Nehal Elshaboury, Eslam Mohammed Abdelkader and Abobakr Al-Sakkaf
Modern human society has continuous advancements that have a negative impact on the quality of the air. Daily transportation, industrial and residential operations churn up…
Abstract
Purpose
Modern human society has continuous advancements that have a negative impact on the quality of the air. Daily transportation, industrial and residential operations churn up dangerous contaminants in our surroundings. Addressing air pollution issues is critical for human health and ecosystems, particularly in developing countries such as Egypt. Excessive levels of pollutants have been linked to a variety of circulatory, respiratory and nervous illnesses. To this end, the purpose of this research paper is to forecast air pollution concentrations in Egypt based on time series analysis.
Design/methodology/approach
Deep learning models are leveraged to analyze air quality time series in the 6th of October City, Egypt. In this regard, convolutional neural network (CNN), long short-term memory network and multilayer perceptron neural network models are used to forecast the overall concentrations of sulfur dioxide (SO2) and particulate matter 10 µm in diameter (PM10). The models are trained and validated by using monthly data available from the Egyptian Environmental Affairs Agency between December 2014 and July 2020. The performance measures such as determination coefficient, root mean square error and mean absolute error are used to evaluate the outcomes of models.
Findings
The CNN model exhibits the best performance in terms of forecasting pollutant concentrations 3, 6, 9 and 12 months ahead. Finally, using data from December 2014 to July 2021, the CNN model is used to anticipate the pollutant concentrations 12 months ahead. In July 2022, the overall concentrations of SO2 and PM10 are expected to reach 10 and 127 µg/m3, respectively. The developed model could aid decision-makers, practitioners and local authorities in planning and implementing various interventions to mitigate their negative influences on the population and environment.
Originality/value
This research introduces the development of an efficient time-series model that can project the future concentrations of particulate and gaseous air pollutants in Egypt. This research study offers the first time application of deep learning models to forecast the air quality in Egypt. This research study examines the performance of machine learning approaches and deep learning techniques to forecast sulfur dioxide and particular matter concentrations using standard performance metrics.
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