Xiaobo Wu, Liping Liang and Siyuan Chen
As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in…
Abstract
Purpose
As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data.
Design/methodology/approach
The authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”.
Findings
The authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering).
Originality/value
The big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.
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For a thermal protection system (TPS) of long endurance hypersonic flight vehicle (HFV), its thermal insulation property not only determines by the manufactured morphology but…
Abstract
Purpose
For a thermal protection system (TPS) of long endurance hypersonic flight vehicle (HFV), its thermal insulation property not only determines by the manufactured morphology but also changes along time. A thermal conductivity prediction model for aerogel considering heat treatment effect is carried out and applied to solve the heat conduction problem of a TPS. The aim of this study is to provide theoretical and numerical references for further development of aerogels applying to TPSs.
Design/methodology/approach
A thermal conductivity prediction model for aerogel is established considering treatment effect. The heat conduction problem of a TPS is derived and solved by combining the differential quadrature method and the Runge–Kutta method. The prediction results of aerogel thermal conductivities are verified by comparing with those in literature, while the calculated temperature field of TPS is verified by comparing with that by ABAQUS.
Findings
Numerical results show that when applying the current prediction model, the calculated high temperature area in the aerogel layer is narrowed due to the decrease of the thermal conductivity during heat treatment process.
Originality/value
This study will be beneficial to carry out the precise design of TPS for long endurance HFVs.
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Ning Liu, Linyu Zhou, LiPing Xu and Shuwei Xiang
As the cost of completing a transaction, the green merger and acquisition (M&A) premium paid on mergers can influence whether the acquisition creates value or not. However…
Abstract
Purpose
As the cost of completing a transaction, the green merger and acquisition (M&A) premium paid on mergers can influence whether the acquisition creates value or not. However, studies linking M&A premiums to firm value have had mixed results, even fewer studies have examined the effect of green M&A premiums on bidders’ firm value. The purpose of this paper is to investigate whether and how green M&A premiums affect firm value in the context of China’s heavy polluters.
Design/methodology/approach
Using 323 deals between 2008 and 2019 among China’s heavy polluters, this paper estimates with correlation analysis and multiple regression analysis.
Findings
Green M&A premiums are negatively associated with firm value. The results are more significant when firms adopt symbolic rather than substantive corporate social responsibility (CSR) strategies. Robustness and endogeneity tests corroborate the findings. The negative relation is stronger when acquiring firms have low governmental subsidy and environmental regulation, when firms have overconfident management, when firms are state-owned and when green M&A occurs locally or among provinces in the same region. This study also analyzes agency cost as an intermediary in the relationship between green M&A premium and firm value, which lends support to the agency-view hypothesis.
Originality/value
This study provides systemic evidence that green M&A premiums damage firm value through agency cost channel and the choice of CSR strategies from the perspective of acquirers. These findings enrich the literature on both the economic consequences of green M&A premiums and the determinants of firm value and provide a plausible explanation for mixed findings on the relationship between green M&A premiums and firm value.
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Xiaoyi He, Liping Li, Xiaojian Liu, Yongsheng Wu, Shujiang Mei and Zhen Zhang
Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies…
Abstract
Purpose
Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues.
Design/methodology/approach
This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen.
Findings
The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value.
Originality/value
This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.
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Louis Beaubien and Daphne Rixon
To examine metrics used for performance measurement, analysis, and decision-making by insurance cooperatives.
Abstract
Purpose
To examine metrics used for performance measurement, analysis, and decision-making by insurance cooperatives.
Design and approach
A documentary review and semi-structured interviews of three large insurance cooperatives form the basis of the study.
Findings
The analysis suggests insurance co-operatives metrics are consistent with investor-owned companies. These measures do not recognize the cooperative principles and values which consistent the formative basis of these insurance co-operatives.
Practical implications
The insurance co-operatives under examination do not engage in a comparison to other insurance co-operatives; rather comparisons are made against investor-owned companies. As this analysis is used in decision-making and strategy formulation, guiding the direction of the co-operatives the questions must be raised: does the co-operative difference exist in the insurance sector and how (and what) performance analysis tools are used to assess their performance?
Originality
There is a paucity of research in the area of metrics and analytics of co-operatives. As such this article expands the academic scope of examination of co-operatives in the context of financial and accounting operations. Additionally, it adds to the ongoing discussion in the academy focused on the nature of co-operatives and the nature of the co-operative difference.
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Bana Abuzayed, Philip Molyneux and Nedal Al‐Fayoumi
This paper examines whether earnings and its components are relevant and sufficient to bridge the gap between banks' market and book values, and also considers if bank efficiency…
Abstract
Purpose
This paper examines whether earnings and its components are relevant and sufficient to bridge the gap between banks' market and book values, and also considers if bank efficiency is “value relevant” for banks valuation.
Design/methodology/approach
This paper follows the value relevance literature methodology which tests for the difference between book and market values using a variety of indicators including net income and its components as well as bank efficiency (derived using DEA) and risk indicators. The regression models are estimated using OLS, random and fixed effects approaches for a sample of listed Jordanian banks between 1993 and 2004.
Findings
The main findings of this paper are twofold. First, it is found that earnings (and its components) are value relevant and explain the gap between market and book values. Secondly, cost efficiency, as an economic performance measure, provides incremental information, not contained directly in banks financial statements, to the market. Overall it is found that the components of net income are more important than aggregate net income in explaining bank value. Furthermore, bank operational efficiency adds incremental information in explaining the gap between market and book value. These results support the view that stock prices aggregate signals received by the market as well as from firm's accounting systems.
Practical implications
The study shows that bank efficiency indicators (along with more traditional accounting measures) help explain market values.
Originality/value
This is one of only a limited number of studies that link bank efficiency to market valuation. It is the first, we believe, to do this for banks operating in an emerging economy.
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Wei Wei, Li Miao, Liping A. Cai and Howard Adler
The purpose of this study is to explore how event attendees experience interactive encounters in the most competitive segment of the business sector of events – conferences.
Abstract
Purpose
The purpose of this study is to explore how event attendees experience interactive encounters in the most competitive segment of the business sector of events – conferences.
Design/methodology/approach
A total of 26 in-depth personal interviews was conducted with previous conference attendees. Line-by-line open coding, axial coding and selective coding are performed.
Findings
This study develops a framework for experiences during customer–customer encounters (CCEs), which presents a dual motivational structure that explains one’s participation in CCEs, a classification of typical CCEs, four processes that one experiences during CCEs and three levels of situational factors that influence experiences during CCEs.
Originality/value
This study makes one of the first attempts to propose a multidimensional conceptualization of CCE experiences using an attendee perspective. Beyond the utilitarian and social benefits, this study suggests that it is important for event studies to explore the psychological and emotional meanings of CCE experiences through an experiential lens and that the competitive battleground in event industry should lie in staging memorable experiences during CCEs.
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Chunyu Zhang, Jiayan Xu and Liping Liu
The purpose of this study is to explore the relationships between shared leadership, psychological contract, felt obligation and employees’ creative deviance as well as to…
Abstract
Purpose
The purpose of this study is to explore the relationships between shared leadership, psychological contract, felt obligation and employees’ creative deviance as well as to investigate the mediating role of psychological contract and the moderating role of felt obligation in these relationships.
Design/methodology/approach
This study used convenience sampling to obtain longitudinal data collected (interval of one week) from 348 frontline hotel employees. The SPSS Process Model 5 was used to test the moderated mediation model.
Findings
The results indicated that shared leadership has a significant positive impact on both employee creative deviance and psychological contract and psychological contract positively influences creative deviance. The results confirmed that the psychological contract mediated the relationship between shared leadership and employee creative deviance. The study also highlighted the moderating role of felt obligation on the relationship between shared leadership and employee creative deviance.
Originality/value
This study contributes to the literature on shared leadership, psychological contract, felt obligation and creative deviance by providing empirical evidence of the mediating and moderating effects of psychological contract and felt obligation on the relationship between shared leadership and employee creative deviance. The findings offer practical insights into how organizations can leverage shared leadership to enhance employee creative deviance through psychological contract and felt obligation.
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Huifang Sun, Liping Fang, Yaoguo Dang and Wenxin Mao
A core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what…
Abstract
Purpose
A core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what strengths, will lead to higher vulnerability: namely, the influence patterns of RADV.
Design/methodology/approach
A two-phased grey rough combined model is proposed to identify influence patterns of RADV from a new perspective of learning and mining historical cases. The grey entropy weight clustering with double base points is proposed to assess degrees of RADV. The simplest decision rules that reflect the complex synergistic relationships between RADV and its influencing factors are extracted using the rough set approach.
Findings
The results exemplified by China's Henan Province in the years 2008–2016 show higher degrees of RADV in the north and west regions of the province, in comparison with the south and east. In the patterns with higher RADV, the higher proportion of agricultural population appears in all decision rules as a core feature. A smaller quantity of water resources per unit of cultivated land area and a lower adaptive capacity, involving levels of irrigation technology and economic development, present a significant synergistic influence relationship that distinguishes the features of higher vulnerability from those of the lower.
Originality/value
The proposed grey rough combined model not only evaluates temporal dynamics and spatial differences of RADV but also extracts the decision rules between RADV and its influencing factors. The identified influence patterns inspire managerial implications for preventing and reducing agricultural drought through its historical evolution and formation mechanism.
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Qing Lu, Lydia Liping Jin, Yurong He and Fangjun Li
Managerial responses to employee voice have garnered significant scholarly attention. However, existing research has primarily focused on the factors leading to such responses…
Abstract
Purpose
Managerial responses to employee voice have garnered significant scholarly attention. However, existing research has primarily focused on the factors leading to such responses while giving limited attention to their outcomes. In this study, we integrated two distinct managerial reactions, voice endorsement and supervisory responsiveness. We framed these reactions as employee voice experiences and adopted a model of proactive motivation to explore how these experiences influence subsequent employee voice and silence behaviors through two alternative pathways: role breadth self-efficacy (i.e. the “can do” motivation) and positive affect (i.e. the “energized to do” affective state).
Design/methodology/approach
Researchers conducted a two-wave field survey involving 215 subordinates and their 42 direct supervisors. A multi-level path analysis was used to examine the hypothesized research model.
Findings
The results indicate that employee experiences of voice endorsement affect role breadth self-efficacy. Role breadth self-efficacy, in turn, influences both voice and silence behaviors. In contrast, employee experiences of voice responsiveness influence voice and silence behaviors only through positive affect.
Originality/value
This study extends the scope of existing literature on employee voice/silence by introducing subordinates’ voice experiences based on managerial reactions as an additional predictor of their subsequent behaviors. Moreover, by incorporating a model of proactive motivation and employing its “can do” and “energized to do” motivations as two intervening mechanisms, this study underscores the distinction between having one’s voice heard and truly adopted.