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1 – 10 of 10This study aims at providing exploratory insights into the initiative and capabilities of Chinese SMEs to develop and utilize diverse networks to support internationalization…
Abstract
This study aims at providing exploratory insights into the initiative and capabilities of Chinese SMEs to develop and utilize diverse networks to support internationalization. Such network development and utilization efforts are fundamental to the analysis and explanation of Chinese firms’ internationalization patterns and outcomes. Extending from the existing network studies in the Chinese context that generally put emphasis on strong‐tie and ethnic‐oriented networks, this paper investigates and explains explicitly the use and effects of both strong‐ and weak‐tie networks in the international development of Chinese SMEs. Indepth case studies on four rapidly internationalized Chinese SMEs are conducted. The case findings demonstrate that weak‐tie networks are essential to the firms’ business development in foreign markets; and were proactively developed and utilized in the course of the firms’ development. The cases also provide alternative perspectives to the beliefs and values underpinning strong‐tie networks presumed in existing literature. The findings draw attention to the changing business values and approaches of the Chinese firms aiming at developing internationally. Managerial implications concerning the significant influence of effective networking on internationalization are pinpointed.
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The digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data…
Abstract
Purpose
The digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.
Design/methodology/approach
This study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.
Findings
The number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.
Research limitations/implications
The study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.
Practical implications
National policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.
Originality/value
To our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.
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Shuiqing Yang, Yusheng Zhou, Jianrong Yao, Yuangao Chen and June Wei
As retailers have increasingly embraced an omnichannel retailing strategy, explaining and predicting the helpfulness of online review should consider both online-based and…
Abstract
Purpose
As retailers have increasingly embraced an omnichannel retailing strategy, explaining and predicting the helpfulness of online review should consider both online-based and offline-based reviews. The paper aims to discuss this issue.
Design/methodology/approach
Based on the signaling theory, this study intends to examine the impacts of review-related and reviewer-related signals on review helpfulness in the context of omnichannel retailing. The proposed research model and corresponding hypotheses were tested by using negative binomial regression.
Findings
The results shown that both review-related (review rating and review sentiment strength) and reviewer-related (reviewer real name and reviewer expertise) signals positively affect review helpfulness. Contrary to the authors’ expectations, review length negatively affects review helpfulness. Specifically, when the review submitted from an omnichannel retailer’s offline channel, the positive impacts of reviewer real name on review helpfulness will be stronger, and the positive impacts of reviewer expertise on review helpfulness will be weaker.
Originality/value
Unlike many previous studies tend to explore the antecedents of review helpfulness in a single-channel setting, the study examined the factors that affect review helpfulness in an omnichannel retailing context.
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Ophias Kurauone, Yusheng Kong, Huaping Sun, Takuriramunashe Famba and Simbarashe Muzamhindo
This study aims to examine the significance of public/political corruption; trade tax revenue (import and export) on tax evasion in a group of 140 countries for the period…
Abstract
Purpose
This study aims to examine the significance of public/political corruption; trade tax revenue (import and export) on tax evasion in a group of 140 countries for the period 2008–2017. Sampled countries were subsequently grouped into four clusters for further testing. With the increase in globalization and technology, there is a potential of increased tax corruption on trade tariffs revenue activities.
Design/methodology/approach
The empirical testing was carried out using the technical and more advanced dynamic two-step system-generalized moment method. The econometrical method solves the problem of autocorrelation and heteroskedasticity on cross-sectional data. This study used the data from World Bank, Transparency International, World Economic Forum and Kaufmann’s governance indicators.
Findings
There is statistical interaction between the corruption perception index (CPI) and international trade activities. Moreover, other results revealed that CPI and trade tax revenue activities are statistically insignificant to tax evasion in three groups; low corrupt countries, high corrupt and trade surplus countries although the coefficient signs remain consistent. This can be attributed by a low level of corruption in the low corrupt countries or concealment of corruption-related information in high corrupt countries and the low level of import evasion in trade surplus countries.
Originality/value
Based on the theory and results, public and political officials should promote good corporate governance by strictly monitoring trade revenue activities because parties involved can use technical criminality to conceal illegal behavior. Additionally, all jurisdictions should apply the economic theory of crime, especially in high political corrupt countries and perennial trade deficit countries because key macroeconomic tax revenue activities such as imports invite numerous forms of dishonesty.
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Kesheng Lin, Jie Liu, Jia-Min Wu, Yunlong Sun, Feng Li, Yan Zhou and Yusheng Shi
The main cause of aseptic inflammation after an in vivo implantation is that Poly(L-lactide) (PLLA) and Poly(D-lactide) have a slower degradation and absorption rate, while…
Abstract
Purpose
The main cause of aseptic inflammation after an in vivo implantation is that Poly(L-lactide) (PLLA) and Poly(D-lactide) have a slower degradation and absorption rate, while Poly(D, L-lactide) (PDLLA) has a much faster degradation rate than PLLA because of its amorphous structure. Also, the hydrolyzate of Hydroxyapatite (HA) is alkaline, which can neutralize local tissue peracid caused by hydrolysis of Polylactic acid.
Design/methodology/approach
In this study, the selective laser sintering (SLS) technique was chosen to prepare bone scaffolds using nano-HA/PDLLA composite microspheres, which were prepared by the solid-in-oil-in-water (S/O/W) method. First, the SLS parameters range of bulk was determined by the result of a single-layer experiment and the optimized parameters were then obtained by the orthogonal experiment. The tensile property, hydrophobicity, biocompatibility, biological toxicity and in vitro degradation of the samples with optimized SLS parameters were characterized.
Findings
As a result, the samples showed a lower tensile strength because of the many holes in their interior, which was conducive to better cell adhesion and nutrient transport. In addition, the samples retained their inherent properties after SLS and the hydrophobicity was improved after adding nano-HA because of the OH group. Furthermore, the samples showed good biocompatibility with the large number of cells adhering to the material through pseudopods and there was no significant difference between the pure PDLLA and 10% HA/PDLLA in terms of biological toxicity. Finally, the degradation rate of the composites could be tailored by the amount of nano-HA.
Originality/value
This study combined the S/O/W and SLS technique and provides a theoretical future basis for the preparation of drug-loaded microsphere scaffolds through SLS using HA/PDLLA composites.
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Service innovation has been one of the essential elements to meet the customers’ requirements, but few studies discuss service innovation regarding behavioral intention in the…
Abstract
Purpose
Service innovation has been one of the essential elements to meet the customers’ requirements, but few studies discuss service innovation regarding behavioral intention in the insurance industry. This paper aims to investigate the effects of service innovation on customer behavioral intention and examines the role of word-of-mouth (WOM) and corporate social responsibility (CSR).
Design/methodology/approach
This paper used a survey to assess consumer behavioral intention regarding service innovation activities from life insurance. Questionnaires were administered to consumers who have purchased life insurance in Taiwan and the survey questions were tested through factor analysis. An analysis of multiple and hierarchical regression was performed to test the hypotheses.
Findings
The empirical results demonstrate that life insurance service innovation has a significantly positive influence on WOM and behavioral intention. Additionally, WOM has a partially mediating effect between service innovation and behavioral intention. Furthermore, the study indicates that CSR has a moderating effect on the relationship between service innovation and behavioral intentions.
Originality/value
Considering the uniqueness of this study in the context of Taiwan, the research draws on signaling theory as the framework to explore service innovation and the impact of social responsibility on consumer behavioral intentions in the Taiwanese insurance industry. Additionally, the results can be considered a service marketing strategy and are applicable to the financial service industry in some developing Asian countries
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Qiuping Yang, Huizhi Li, Yubo Zhai, Xiaofeng Li and Peizhi Zhang
To prepare a new type of composite for selective laser sintering 3D printing, the surface of Al2O3 nanoparticles was modified by the coupling agent…
Abstract
Purpose
To prepare a new type of composite for selective laser sintering 3D printing, the surface of Al2O3 nanoparticles was modified by the coupling agent (3-methacryloxypropyl)-trimethoxy silane (KH570) before coated with thermoplastic epoxy resin (TER).
Design/methodology/approach
Laser diffraction confirmed that the size distribution of prepared powder materials in this study ranged between 20 to 80 µm. Thermogravimetric analysis (TGA) showed that the loading of organic matter was below 5 per cent. Fourier transform infrared spectroscopy indicated that the silane coupling agent molecule bound strongly with the alumina. X-ray diffraction confirmed the prepared powder materials to be α-alumina. Through the angle of repose (AOR) test, the AOR = 18.435º was obtained, suggesting the high flowability of prepared powder materials. Scanning electron microscopy (SEM) observation demonstrated that the shape of the prepared powder materials was sphere-like grains.
Findings
Molding properties of prepared powder materials were studied on the basis of particle size distribution, particle size, sphericity, crystal structure and the reaction mode of the TER. This prepared powder materials can be well applied to the production of epoxy resin-coated Al2O3 composite parts with high precision and good mechanical performance.
Originality/value
This composite can be well applied to the production of epoxy resin-coated Al2O3 composite parts with high precision and good mechanical performance.
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Maciej Zastempowski and Szymon Cyfert
The paper aims to explain how agility capabilities (competence, flexibility, responsiveness and speed) influence the chance of improving a small and medium-sized enterprise's…
Abstract
Purpose
The paper aims to explain how agility capabilities (competence, flexibility, responsiveness and speed) influence the chance of improving a small and medium-sized enterprise's (SME's) competitive position, measured by market share and profit.
Design/methodology/approach
Combining organisational agility with competitiveness, the authors analysed how an SME's activities in the field of agility capabilities – competence, flexibility, responsiveness and speed – influence the chance of improving their competitive position. Data were collected from 1,286 SMEs from Poland using the computer-assisted personal interviews method (CAPI). To analyse the data, the authors used logistic regression and odds ratios.
Findings
The study provides empirical evidence of the relationship between agility capabilities and an SME's competitive position. First, the results suggest that all the studied agility capabilities positively impact SMEs' competitive position. Second, the study shows that seeking to increase market share requires particular attention to flexibility, the impact of which is slightly higher than that of the other variables. Third, the findings suggest that the drive to increase profitability requires an appreciation of responsiveness and competence.
Originality/value
The literature contains much discussion about the relationship between agility capabilities and a company's competitive position. However, these studies refer to large companies, whilst the question of the relationship between agility capabilities and competitive position amongst SMEs remains mainly unanswered, which given SMEs' contribution to the creation of economic growth, seems difficult to understand. Although small companies are by nature highly flexible, due to the size of the companies' operations and flattened and decentralised structure, companies' competitive potential is limited as a result of the limited resources that can be devoted to developing procedures for change.
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Sultan AlRedha, Anton Shterenlikht, Mahmoud Mostafavi, Derreck Van Gelderen, Omar Eduardo Lopez-Botello, Luis Arturo Reyes, Patricia Zambrano and Carlos Garza
A key challenge found in additive manufacturing is the difficulty to produce components with replicable microstructure and mechanical performance in distinct orientations. This…
Abstract
Purpose
A key challenge found in additive manufacturing is the difficulty to produce components with replicable microstructure and mechanical performance in distinct orientations. This study aims to investigate the influence of build orientation on the fracture toughness of additively manufactured AlSi10Mg specimens.
Design/methodology/approach
The AlSi10Mg specimens were manufactured using the selective laser melting (SLM) technology. The fracture toughness was experimentally determined (under ASTM E399-09) using C(T) specimens manufactured in different orientations. The microstructure of the specimens was examined using metallography to determine the effects of grain orientation on fracture toughness.
Findings
The fracture toughness magnitude of manufactured specimens ranged between 36 and 50 MPam, which closely matched conventional bulk material and literature values regarding AlSi10Mg components. The C(T) specimens printed in the T-L orientation yielded the highest fracture toughness. The grain orientation and fracture toughness values confirm the anisotropic nature of SLM parts where the T-L-oriented specimen obtained the highest KIC value. A clear interaction between the melt pool boundaries and micro-slipping during the loading application was observed.
Originality/value
The novelty of this paper consists in elucidating the relationship between grain orientation and fracture toughness of additively manufactured AlSi10Mg specimens because of the anisotropy generated by the different melting pool boundaries and orientations in SLM. The findings show that melt pool boundaries can behave as easier pathways for cracks to propagate and subsequently reduce the fracture toughness of specimens with cracks perpendicular to the build direction.
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Irina Tatiana Garces and Cagri Ayranci
A review on additive manufacturing (AM) of shape memory polymer composites (SMPCs) is put forward to highlight the progress made up to date, conduct a critical review and show the…
Abstract
Purpose
A review on additive manufacturing (AM) of shape memory polymer composites (SMPCs) is put forward to highlight the progress made up to date, conduct a critical review and show the limitations and possible improvements in the different research areas within the different AM techniques. The purpose of this study is to identify academic and industrial opportunities.
Design/methodology/approach
This paper introduces the reader to three-dimensional (3 D) and four-dimensional printing of shape memory polymers (SMPs). Specifically, this review centres on manufacturing technologies based on material extrusion, photopolymerization, powder-based and lamination manufacturing processes. AM of SMPC was classified according to the nature of the filler material: particle dispersed, i.e. carbon, metallic and ceramic and long fibre reinforced materials, i.e. carbon fibres. This paper makes a distinction for multi-material printing with SMPs, as multi-functionality and exciting applications can be proposed through this method. Manufacturing strategies and technologies for SMPC are addressed in this review and opportunities in the research are highlighted.
Findings
This paper denotes the existing limitations in the current AM technologies and proposes several directions that will contribute to better use and improvements in the production of additive manufactured SMPC. With advances in AM technologies, gradient changes in material properties can open diverse applications of SMPC. Because of multi-material printing, co-manufacturing sensors to 3D printed smart structures can bring this technology a step closer to obtain full control of the shape memory effect and its characteristics. This paper discusses the novel developments in device and functional part design using SMPC, which should be aided with simple first stage design models followed by complex simulations for iterative and optimized design. A change in paradigm for designing complex structures is still to be made from engineers to exploit the full potential of additive manufactured SMPC structures.
Originality/value
Advances in AM have opened the gateway to the potential design and fabrication of functional parts with SMPs and their composites. There have been many publications and reviews conducted in this area; yet, many mainly focus on SMPs and reserve a small section to SMPC. This paper presents a comprehensive review directed solely on the AM of SMPC while highlighting the research opportunities.
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