Ganli Liao, Mengyao Li, Yi Li and Jielin Yin
Employees’ knowledge management, which influences creativity, is a pivotal resource in organizational innovation activities, as it helps activate the knowledge resource pool and…
Abstract
Purpose
Employees’ knowledge management, which influences creativity, is a pivotal resource in organizational innovation activities, as it helps activate the knowledge resource pool and improves knowledge flow. Using social information processing theory, this study aims to construct a cross-level model to examine how knowledge hiding plays a role in the relationship between leader–member exchange differentiation (LMXD) and employee creativity.
Design/methodology/approach
This study surveyed 754 leader–employee matching samples from 127 teams in China innovation enterprises at two time points. Confirmatory factor analysis, convergent analysis, hierarchical regression analysis and bootstrapping method by SPSS and AMOS were used to test the hypotheses.
Findings
The empirical results demonstrate the cross-level model’s efficiency and reveal the following findings: Team-level LMXD is negatively related to employee creativity, whereas it is positively related to knowledge hiding; knowledge hiding is negatively associated with employee creativity; thus, knowledge hiding plays a mediating role in the relationships between them.
Originality/value
Based on the knowledge-hiding perspective, this study analyzed an underlying mechanism between LMXD and employee creativity, thereby further enriching the literature on the influence of knowledge management. This proposed connection has not been established previously. Moreover, the findings respond to the reasons for the inconsistent conclusions of previous literature on the cross-level relationship between LMXD and employee creativity based on the social information processing theory. It thus clarifies the cross-level influence path, as well as provides a theoretical basis for further research on the relationship between the two.
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Qiuchang Cao, Li Liao and Keith Leverett Warren
To analyze networks of social interactions between the residents of a therapeutic community (TC) for women and the way, in which such interactions predict the discussion of issues…
Abstract
Purpose
To analyze networks of social interactions between the residents of a therapeutic community (TC) for women and the way, in which such interactions predict the discussion of issues that arise in treatment.
Design/methodology/approach
In total, 50 residents of a corrections-based TC for women were surveyed on the peers with whom they socialized informally, shared meals, shared letters from home and discussed issues that arose in treatment over a 12 h period. The data were analyzed using exponential random graph models (ERGM).
Findings
Reciprocity occurred in all networks while transitivity (a tendency of two residents who are connected to both connect to a third peer) occurred in all networks measuring informal social interactions. When controlling for reciprocity and transitivity, residents avoided spending social time or sharing meals with the same peers. There was no evidence of homophily by race, age or years of education. Homophily by entrance time and case manager occurred in social time. Case manager homophily occurred in the discussion of treatment issues but disappeared when controlling for social time and sharing letters from home.
Research limitations/implications
Social networks in this TC arise from factors endogenous to the TC itself. It should be possible to determine the characteristics of optimal social networks in TCs. External validity is limited.
Practical implications
It should be possible to intervene to optimize the social networks of TC residents.
Originality/value
This is the first ERGM analysis of both informal and formal interactions in a TC.
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Bin-Hsien Lo, Lon-Fon Shieh, Yi-Cheng Shih and Min-Der Hsieh
This chapter examines the relationship between directors and officers (D&O) liability insurance and stock-price synchronicity by testing competing corporate governance-related…
Abstract
This chapter examines the relationship between directors and officers (D&O) liability insurance and stock-price synchronicity by testing competing corporate governance-related monitoring and moral hazard-related agency conflict hypotheses. Testing a sample of stocks listed on the Taiwan Stock Exchange and the Taipei Exchange for 2008–2020, the empirical results of this study indicate that D&O insurance in Taiwan is negatively correlated to stock-price synchronicity. This negative relation is robust to a battery of tests, including those of fixed-effects regression models, alternative sample periods, alternative synchronicity measures, and alternative insurance measures. Further evidence indicates that this negative relationship is more pronounced among firms with greater agency problems, especially during periods of high market uncertainty. Overall, these findings support the corporate governance-related monitoring hypothesis, which posits that firms with greater D&O insurance are likelier to be characterized by better governance structures and information transparency. Additionally, their stock prices are more likely to reflect firm-specific information in a timely and precise manner, and they are more likely to have lower synchronicity with the industry and market.
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Weiping Li, Huirong Li, Xuan Sean Sun and Tairan Kevin Huang
The purpose of this paper is to examine the impact of directors’ and officers’ liability insurance (D&O insurance hereafter) on corporate governance and firm performance, with a…
Abstract
Purpose
The purpose of this paper is to examine the impact of directors’ and officers’ liability insurance (D&O insurance hereafter) on corporate governance and firm performance, with a specific focus on investment efficiency.
Design/methodology/approach
Using a sample of Chinese A-share listed firms from the period 2007 to 2020, this study uses Ordinary Least Squares regressions to investigate the research questions, as well as moderating and mediating effects. Additionally, alternative measures of investment efficiency are used, and the Heckman two-stage model and propensity score matching model are used to demonstrate the consistency of the findings and to mitigate the risk of endogeneity.
Findings
The findings of this study suggest that purchasing D&O insurance has a detrimental impact on corporate investment efficiency, particularly in the context of over-investment activities; robust internal governance mechanisms, exemplified by a higher shareholding ratio of the top shareholder and enhanced internal control quality, alleviate this negative effect; and financing constraints act as a mediating factor in the association between D&O insurance and investment efficiency.
Originality/value
Corporate investment efficiency is of significant importance for both national macroeconomic growth and micro-enterprise development. Notably, the prevalence of D&O insurance among Chinese firms is progressively increasing, thus exerting a growing influence. This study contributes to the existing literature on D&O insurance and corporate investment efficiency, providing valuable insights into the economic impact of D&O insurance on Chinese firms. The empirical evidence presented herein facilitates future reforms and adjustments.
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Md. Borhan Uddin Bhuiyan, Fawad Ahmad, Julia Yonghua Wu and Ahsan Habib
We review and synthesize the existing research on directors' and officers’ (D&O) liability insurance. Our objectives are (1) to examine the institutional forces and regulatory…
Abstract
Purpose
We review and synthesize the existing research on directors' and officers’ (D&O) liability insurance. Our objectives are (1) to examine the institutional forces and regulatory requirements that have influenced the development of D&O liability insurance; (2) to identify the factors that influence firms to purchase D&O liability insurance and explore the consequences associated with its usage and (3) to identify gaps in the current literature and provide recommendations for future research on D&O liability insurance.
Design/methodology/approach
We perform a systematic literature review (SLR) using the Preferred Reporting Items for a Systematic Review of Meta-Analysis (PRISMA) guidelines to examine archival studies that investigate the determinants and consequences of D&O liability insurance. Using a Boolean search strategy on the “Web of Science” (WoS) and PRISMA selection criteria, we review 64 published archival research articles and three working papers from 1987 to October 2023.
Findings
Our review reveals that disclosing detailed information regarding D&O liability insurance, such as total insurance premiums and coverage limit, is predominantly voluntary, except in Taiwan. Our findings suggest that the decision to purchase D&O liability insurance is influenced by litigation risk, which is determined by factors such as firm size, complexity and corporate governance variables. We also find that D&O liability insurance has implications for financial reporting, audit outcomes, investment behavior and capital market performance.
Practical implications
In the post-COVID era, where firms face pressure due to financial constraints, our research emphasizes the practical importance of carefully considering and understanding the impact of D&O liability insurance, particularly as it concerns the demand for such insurance.
Originality/value
To the best of our knowledge, this study represents the first systematic review of previous research on D&O liability insurance. Our review highlights some research gaps, particularly in relation to the implications for financial reporting practices, auditing outcomes, firm investment behavior and capital market consequences.
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Li-Huan Liao, Lei Chen and Yu Chang
Safety efficiency is the key to balance safety and production in construction industry; but the existing safety efficiency evaluation methods have the limitations of…
Abstract
Purpose
Safety efficiency is the key to balance safety and production in construction industry; but the existing safety efficiency evaluation methods have the limitations of overestimating efficiency and ignoring undesirable outputs; therefore, according to the characteristics of safety production in construction industry, this paper innovatively develops a new cross-efficiency data envelopment analysis method to analyze safety efficiency, which can solve the limitations of traditional methods; and then the safety efficiency and its influencing factors of China's construction industry are analyzed, and some useful conclusions are obtained to improve its safety efficiency.
Design/methodology/approach
A new cross-efficiency data envelopment analysis method with undesirable outputs is proposed; and the two-stage efficiency analysis framework is designed.
Findings
First, the construction industries in different areas have different reasons for affecting their safety efficiency; second, the evaluation results of global safety priority tend to be more acceptable; third, frequent safety accidents and low resource utilization lead to a slow downward trend of the safety efficiency of China's construction industry in the long run; fourth, construction engineering supervision, construction industrial scale, and construction industrial structure have the significant impact on safety efficiency.
Originality/value
Theoretically, a new cross-efficiency data envelopment analysis method with undesirable outputs is proposed for evaluating safety efficiency; practically, the safety efficiency and its influencing factors of China's construction industry are analyzed.
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Joshua V. White, Sanjay Chaudhary and Vishal K. Gupta
The concept of entrepreneurial orientation (EO) attracts considerable attention in the organizational literature. Focusing on issues related to measurement of EO and using a…
Abstract
The concept of entrepreneurial orientation (EO) attracts considerable attention in the organizational literature. Focusing on issues related to measurement of EO and using a three-pronged framework to organize the growing diversity of EO measures, the authors conduct a systematic literature review on how EO is captured and assessed in the empirical literature. Specifically, the authors classify 551 empirical works according to the approach to measurement (i.e., managerial perceptions, content analysis, and resource allocations) which allows the authors to document and critically analyze prevalent measurement practices within the literature. Based on the synthesis, the authors identify key measurement-related tensions that may inhibit cumulative knowledge development in the area of EO, such as ad hoc modification of seminal scales and lack of theoretical clarity with respect to measurement. Additionally, the authors find that research into the antecedents of EO as well as causality and temporality of the phenomenon is underdeveloped, which the authors attribute to scarce use of mixed methods. The authors conclude chapter by discussing the challenges involved in measuring EO and offering possible recommendations for future inquiry.
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Mélia Djabi and Sakura Shimada
The purpose of this article is to understand how academics in management deal with the concept of generation in the workplace. We begin by conducting an interdisciplinary…
Abstract
The purpose of this article is to understand how academics in management deal with the concept of generation in the workplace. We begin by conducting an interdisciplinary literature analysis, thereby elaborating a conceptual framework concerning generational diversity. This framework consists of four levels of analysis (society, career, organisation and occupation) and three dimensions (age, cohort and event/period). We then conduct a meta-analysis using this conceptual framework to analyse papers from the management field. The results from this analysis reveal the existence of a diversity of generational approaches, which focus on the dimensions of age and cohort on a societal level. Four factors seem to explain these results: the recent de-synchronisation of generational dimensions and levels, the novelty of theoretical models, the amplification of stereotypes by mass media and the methodologies employed by researchers. In sum, this article contributes to a more realistic view of generational diversity in the workplace for both academics and practitioners.
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Ravita Kharb, Charu Shri and Neha Saini
The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies…
Abstract
Purpose
The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.
Design/methodology/approach
Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.
Findings
The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.
Research limitations/implications
This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.
Originality/value
The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.