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Article
Publication date: 4 December 2019

Haijie Huang, Changjiang Lyu and Xiaowen Zhu

The purpose of this paper is to study the effect of second generation involvement on corporate innovation in Chinese family firms.

Abstract

Purpose

The purpose of this paper is to study the effect of second generation involvement on corporate innovation in Chinese family firms.

Design/methodology/approach

Based on the manually collected sample of listed Chinese family firms from 2003 to 2014, the study empirically examines the impact of second generation involvement on corporate innovation. The authors apply a difference-in-differences research design and a Heckman two-stage least squares regression to relieve the endogeneity concerns.

Findings

The research finds a positive relationship between second generation involvement and corporate innovation. This effect is more pronounced among the firms appointing second generation family members with overseas training experience and firms with weak external monitoring. Further analysis shows that the curtailment of related party transactions and the improvement of accounting information quality are important channels.

Practical implications

The findings provide several practical implications for Chinese family firms to survive the succession process and maintain competitive advantages across generations.

Originality/value

First, this study is helpful to understand the strategies adopted by family firms to maintain their long-term competitiveness and pursue continuing growth across generations. Second, the findings are also consistent with the transfer cost hypothesis of Fan et al. (2012) and Bennedsen et al. (2015). Finally, the findings imply that second generation involvement has a substitutive effect for external monitoring mechanisms.

Details

Nankai Business Review International, vol. 10 no. 4
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 12 November 2020

Xiaowen Zhu, Wei Ren, Qiang Chen and Richard Evans

The use of consumer credit by Chinese citizens has risen rapidly in the Internet era. The purpose of this paper is to predict a mechanism for credit consumption through…

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Abstract

Purpose

The use of consumer credit by Chinese citizens has risen rapidly in the Internet era. The purpose of this paper is to predict a mechanism for credit consumption through Internet usage, with social comparison and materialism as mediators. Four types of Internet usage (social use, entertainment use, informational use, and online shopping) were identified to investigate whether different types of Internet usage influence credit consumption differently and whether the influencing mechanisms vary.

Design/methodology/approach

A structured online survey involving 558 valid responses from Chinese college students was completed, with structural equation modeling being applied to analyze the collected data.

Findings

Among the four types of Internet activities, online shopping was found to be the most significant predictor of credit consumption; results show that it influences credit consumption through two indirect pathways: materialism and a combination of social comparison and materialism. Social use was found to only affect credit consumption through materialism. In contrast, the influences of both informational use and entertainment use on credit consumption were insignificant.

Originality/value

By testing the concurrent mediating effects of social comparison and materialism, this study broadens our understanding of how Internet usage and credit consumption are connected. While most studies empirically test overall Internet usage and focus on direct relationships, we identify four types of Internet activities and demonstrate the mechanisms by which different types of Internet usage influence credit consumption, and how consumption varies based on Internet activity.

Details

Internet Research, vol. 31 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 3 July 2020

Tai-Yee Wu, Xiaowen Xu and David Atkin

This study integrates the spiral of silence (SoS) theory and theory of planned behavior (TPB) by examining Facebook users' opinion expression avoidance, the reactions to…

Abstract

Purpose

This study integrates the spiral of silence (SoS) theory and theory of planned behavior (TPB) by examining Facebook users' opinion expression avoidance, the reactions to dissenting views without revealing one's true opinion, in the context of political discussions. The present integrative approach provides a more comprehensive framework that expands our understanding of online opinion expression and withdrawal.

Design/methodology/approach

A cross-sectional online survey was employed, which rendered 348 valid responses from US college students (61.5% female; average age 19.11) recruited from a northeastern university.

Findings

The results categorized two sets of opinion avoidance strategies from six Facebook features. The intention to adopt “proactive avoidance strategies” (filtering out unwanted information) is positively related to descriptive norms and perceived self-efficacy, but negatively related to fear of isolation and perceived control of the urge to debate. Regarding the intention to employ “reactive avoidance strategies” (less obtrusive articulations), fear of isolation and attitudes toward opinion expression avoidance are positive determinants, whereas perceived control of the urge to debate again exerts a negative influence.

Originality/value

This study examines the growing variety of features that users adopt to avoid expressing their true opinion in reacting to dissenting views, updating our understanding of opinion circumvention in social media environment. As one of the few theoretically driven empirical investigations of SoS theory and TPB, the findings not only elucidate the significance of perceived behavioral control as the common ground in association with user adoption intention but also identify distinct qualities of the two sets of strategies that affect the likelihood of adoption. That is, proactive avoidance is more susceptible to normative influences, while reactive avoidance reflects user attitude and belief. This theoretical integration also helps identify diverse levels of intentions to strategically avoid opinion expression influenced by fear of isolation.

Details

Internet Research, vol. 30 no. 6
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 12 July 2019

Xiaowen Tian and Xiaoxuan Zhai

The purpose of this paper is to relate participative decision-making (PDM) to organizational learning, and examine the impact of PDM on organizational performance.

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Abstract

Purpose

The purpose of this paper is to relate participative decision-making (PDM) to organizational learning, and examine the impact of PDM on organizational performance.

Design/methodology/approach

The paper integrates the resource-based theory with organizational learning theory to develop a framework, and distinguishes PDM in which decisions are jointly made by employees and managers from employee decision-making (EDM) in which decisions are completely in the hands of employees. The paper incorporates an augmented Cobb–Douglass production function into a structural equation model to estimate the performance impact of PDM and EDM.

Findings

The paper tests the framework against firm-level data form China, and finds that PDM provides an opportunity for collective learning, and has a positive relationship with productivity-based profit gains; the positive relationship is stronger in firms whose management has greater accumulated knowledge and experience; EDM fails to provide an opportunity for collective learning, and has a negative relationship with productivity-based profit gains.

Originality/value

Prior research focused on the role of PDM in enhancing the motivation and performance of individual employees, considered the degree of employee involvement as a continuum with the highest being decision-making “completely in the hands of employees,” and concluded that the more involved are employees in decision-making the better. This paper relates PDM to organizational performance, and challenges this conventional view from an organizational learning perspective.

Details

International Journal of Manpower, vol. 40 no. 4
Type: Research Article
ISSN: 0143-7720

Keywords

Content available
Article
Publication date: 9 June 2021

Tomoya Kawasaki, Takuma Matsuda, Yui-yip Lau and Xiaowen Fu

In the maritime industry, it is vital to have a reliable forecast of container shipping demand. Although indicators of economic conditions have been used in modeling…

Abstract

Purpose

In the maritime industry, it is vital to have a reliable forecast of container shipping demand. Although indicators of economic conditions have been used in modeling container shipping demand on major routes such as those from East Asia to the USA, the duration of such indicators’ effects on container movement demand have not been systematically examined. To bridge this gap in research, this study aims to identify the important US economic indicators that significantly affect the volume of container movements and empirically reveal the duration of such impacts.

Design/methodology/approach

The durability of economic indicators on container movements is identified by a vector autoregression (VAR) model using monthly-based time-series data. In the VAR model, this paper can analyze the effect of economic indicators at t-k on container movement at time t. In the model, this paper considers nine US economic indicators as explanatory variables that are likely to affect container movements. Time-series data are used for 228 months from January 2001 to December 2019.

Findings

In the mainland China route, “building permission” receives high impact and has a duration of 14 months, reflecting the fact that China exports a high volume of housing-related goods to the USA. Regarding the South Korea and Japan routes, where high volumes of machinery goods are exported to the USA, the “index of industrial production” receives a high impact with 11 and 13 months’ duration, respectively. On the Taiwan route, as several types of goods are transported with significant shares, “building permits” and “index of industrial production” have important effects.

Originality/value

Freight demand forecasting for bulk cargo is a popular research field because of the public availability of several time-series data. However, no study to date has measured the impact and durability of economic indicators on container movement. To bridge the gap in the literature in terms of the impact of economic indicators and their durability, this paper developed a time-series model of the container movement from East Asia to the USA.

Details

Maritime Business Review, vol. 7 no. 4
Type: Research Article
ISSN: 2397-3757

Keywords

Article
Publication date: 30 August 2022

Xiaowen Wei and Xiangsheng Dou

Appropriate disposal of end-of-life (EOL) electric vehicle battery (EVB) requires new method of supply chain management (SCM) toward sustainability. Sustainable supply…

Abstract

Purpose

Appropriate disposal of end-of-life (EOL) electric vehicle battery (EVB) requires new method of supply chain management (SCM) toward sustainability. Sustainable supply chain finance (SSCF) is an innovative managerial practice dedicated to release cash flow pressure and improve operational efficiency in supply chain, which has drawn increasing attentions from academia and industry. There has been few researches on the integration of EOL EVB management and SSCF yet. The paper aims to fulfill this research gap and lead to the conjunction of environmental management with economic and social concerns.

Design/methodology/approach

The paper conducts a systematic literature review to discuss the probable SSCF adoption on potential market of EOL EVB disposal.

Findings

The results indicate unsustainable factors and potentials to be explored in current market of EOL EVB disposal. As a solution of sustainable SCM, SSCF can ease the tension between the urgent need of EOL EVB disposal and financing problems in the supply chain, strengthening competitive advantages of EV industry.

Originality/value

The significance of this paper lies in offering an interdisciplinary view by drawing upon key perspectives from the emerging sustainable technology of EVB disposal and its underlying battery second use (B2U) market considering SSCF.

Details

Management of Environmental Quality: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7835

Keywords

Open Access
Article
Publication date: 22 November 2022

Chunlan Li, Xinwu Xu, Hongyu Du, Debin Du, Walter Leal Filho, Jun Wang, Gang Bao, Xiaowen Ji, Shan Yin, Yuhai Bao and Hossein Azadi

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes…

Abstract

Purpose

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the Mongolian Plateau when the mean global warming is well below 2°C or limited to 1.5°C.

Design/methodology/approach

In total, 30 model simulations of consecutive temperature and precipitation days from Coupled Model Inter-comparison Project Phase 5 (CMIP5) are assessed in comparison with the 111 meteorological monitoring stations from 1961–2005. Multi-model ensemble and model relative error were used to evaluate the performance of CMIP5 models. Slope and the Mann–Kendall test were used to analyze the magnitude of the trends and evaluate the significance of trends of snow depth (SD) from 1981 to 2014 in the Mongolian Plateau.

Findings

Some models perform well, even better than the majority (80%) of the models over the Mongolian Plateau, particularly HadGEM2-CC, CMCC-CM, BNU-ESM and GFDL-ESM2M, which simulate best in consecutive dry days (CDD), consecutive wet days (CWD), cold spell duration indicator (CSDI) and warm spell duration indicator (WSDI), respectively. Emphasis zones of WSDI on SD were deeply analysed in the 1.5 and 2 °C global warming period above pre-industrial conditions, because it alone has a significant negative relation with SD among the four indices. It is warmer than before in the Mongolian Plateau, particularly in the southern part of the Mongolian Plateau, indicating less SD.

Originality/value

Providing climate extremes and SD data sets with different spatial-temporal scales over the Mongolian Plateau. Zoning SD potential risk areas and proposing adaptations to promote regional sustainable development.

Details

International Journal of Climate Change Strategies and Management, vol. 14 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Article
Publication date: 7 October 2021

Lantian Li and Bahareh Pahlevanzadeh

Cloud eases information processing, but it holds numerous risks, including hacking and confidentiality problems. It puts businesses at risk in terms of data security and…

Abstract

Purpose

Cloud eases information processing, but it holds numerous risks, including hacking and confidentiality problems. It puts businesses at risk in terms of data security and compliance. This paper aims to maximize the covered human resource (HR) vulnerabilities and minimize the security costs in the enterprise cloud using a fuzzy-based method and firefly optimization algorithm.

Design/methodology/approach

Cloud computing provides a platform to improve the quality and availability of IT resources. It changes the way people communicate and conduct their businesses. However, some security concerns continue to derail the expansion of cloud-based systems into all parts of human life. Enterprise cloud security is a vital component in ensuring the long-term stability of cloud technology by instilling trust. In this paper, a fuzzy-based method and firefly optimization algorithm are suggested for optimizing HR vulnerabilities while mitigating security expenses in organizational cloud environments. MATLAB is employed as a simulation tool to assess the efficiency of the suggested recommendation algorithm. The suggested approach is based on the firefly algorithm (FA) since it is swift and reduces randomization throughout the lookup for an optimal solution, resulting in improved performance.

Findings

The fuzzy-based method and FA unveil better performance than existing met heuristic algorithms. Using a simulation, all the results are verified. The study findings showed that this method could simulate complex and dynamic security problems in cloud services.

Practical implications

The findings may be utilized to assist the cloud provider or tenant of the cloud infrastructure system in taking appropriate risk mitigation steps.

Originality/value

Using a fuzzy-based method and FA to maximize the covered HR vulnerabilities and minimize the security costs in the enterprise cloud is the main novelty of this paper.

Details

Kybernetes, vol. 51 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 21 July 2022

Monsurat Ayojimi Salami, Harun Tanrivermiş and Yeşim Tanrivermiş

This study aims to examine the performance and volatility of Turkey Real Estate Investment Trusts (Turkish REITs) as the world is adjusting to the new normal situation in…

Abstract

Purpose

This study aims to examine the performance and volatility of Turkey Real Estate Investment Trusts (Turkish REITs) as the world is adjusting to the new normal situation in every aspect of REITs' business activities.

Design/methodology/approach

The prices of REITs were acquired from 26 Turkish REITs in this study, but owing to autocorrelation difficulties, 14 Turkish REITs were employed in the analysis. The ten-year long-term bond of the Turkish Government was also utilized and the period of data obtained was based on availability. The performance of Turkish REITs was evaluated using Sharpe's ratio and Treynor's ratio, and the volatility was assessed using MGARCH-BEKK.

Findings

The authors found out that Turkish REITs are constantly underperforming and the REITs' returns remain highly volatile and persistent. In addition, findings showed evidence of volatility clustering and the asymmetric impact of shocks. This study further revealed the uniqueness of each of the Turkish REITs due to the lack of evidence of multicollinearity.

Research limitations/implications

However, the limitation of this study is the constraint in obtaining more macro-economic variables of more than ten-years of Turkey's Government bond and the study focused mainly on Turkish REITs.

Practical implications

The result suggests that since Turkish REITs are not mandatory to payout 90% of taxable earnings as dividends, high performance and an appropriate risk management approach are expected. The need for timely revealing performance of T-REITs and associated uncertainty may trigger better performance as discussed in the relationship between disclosure and performance which is recently emphasized in a recent study by Koelbl (2020). With current performance and associated uncertainty in Turkish REITs, the need to protect Turkish REITs investors is highly essential. The result further educates REIT investors that diversification benefits of REITs tend to reduce in extremely risky situations.

Originality/value

This is the first study in the context of Turkish REITs that comprehensively integrated market capitalization of REITs and simultaneous evaluation of performance and the volatility of the Turkish REITs as the world adjusts to the new normal.

Details

Journal of Property Investment & Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 13 May 2022

Jing Luo, Fevzi Okumus and Babak Taheri

This study aims to analyze Chinese and Western visitors’ on‐line reviews of Shenzhen under five dimensions: catering, accommodation, transportation, travel and shopping.

Abstract

Purpose

This study aims to analyze Chinese and Western visitors’ on‐line reviews of Shenzhen under five dimensions: catering, accommodation, transportation, travel and shopping.

Design/methodology/approach

This study used a multidimensional discourse analysis to assess visitors’ experience, perception and emotional evaluations of Shenzhen in reviews on TripAdvisor.com.

Findings

The findings suggest that both Chinese and Western visitors show positive perceptions of Shenzhen’s transportation convenience and options and show great interest in folk culture. Both groups focus on shopping, service and price but believe that the prices in Shenzhen are high.

Research limitations/implications

The classification of reviews highlights tourism elements in Shenzhen, which can offer implications for destination image formation for similar destinations.

Practical implications

This study offers suggestions on how to build an appealing destination that meets both Chinese and Western tourists’ needs.

Social implications

This study enriches the theory of tourism image perception of Shenzhen as it relates to language and culture.

Originality/value

This study offers implications on building an appealing destination that meets Chinese and Western tourists’ expectations.

深圳目的地形象感知:基于中西方游客在线评论的话语分析

摘要

研究目的

本研究从餐饮、住宿、交通、旅游、购物五个维度分析中西方游客对深圳的评价。

研究方法

本研究采用多维语篇分析来评估访问者对深圳的体验、感知和情感评价。

研究发现

调查结果表明, 中国和西方游客对深圳的交通便利和选择都表现出积极的看法, 并对民俗文化表现出浓厚的兴趣。两组都关注购物、服务和价格, 但认为深圳的物价偏高。

研究意义

评论的分类突出了深圳的旅游元素,可以为相似目的地形象的构建提供启示。

研究原创性

本研究丰富了深圳旅游形象感知与语言相关的理论。它为建设一个满足中国和西方游客期望的吸引人的目的地提供了启示。

关键词

旅游目的地形象, 话语分析, 深圳, 多维话语分析, 中西方游客

文章类型: 研究型论文

Details

Journal of Hospitality and Tourism Technology, vol. 13 no. 4
Type: Research Article
ISSN: 1757-9880

Keywords

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