Guangkuan Deng, Jianyu Zhang and Zhiwen Fan
In this paper, extending the research on the positive effects of marketing channel conflicts, this paper aims to examine how functional and dysfunctional conflicts influence…
Abstract
Purpose
In this paper, extending the research on the positive effects of marketing channel conflicts, this paper aims to examine how functional and dysfunctional conflicts influence channel innovation capability by triggering channel cohesion and investigate the moderating role of a distributor’s network structure.
Design/methodology/approach
Based on social network theory and Coser’s conflict theory, this paper develops a framework, tested using Chinese manufacturers’ data, which incorporated six key variables, namely, functional conflict, dysfunctional conflict, channel cohesion, channel innovation capability, network density and network centrality.
Findings
The empirical results revealed that functional conflict can arouse channel cohesion and that distributor network density and centrality positively moderates this relationship; dysfunctional conflict negatively affects channel cohesion, but distributor network density negatively moderates this relationship; channel cohesion had a mediating effect on the relationship between channel conflict and channel innovation capability.
Originality/value
This paper contributes to the research on channel conflict by incorporating the entire channel system’s innovation capability as a positive consequence of channel conflict and expands the channel conflict literature that adopts a network structure perspective.
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Zilong Wang, Zhiwen Zhang and Ng Choon Yeong Jhony
As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with…
Abstract
Purpose
As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with its limited financial and human resources. Nonetheless, what is the efficiency of the allocation of innovative resources for civil–military integration enterprises, and what factors hinder its efficiency improvement? The purpose of this paper is to explore these problems.
Design/methodology/approach
The improved two-stage network data envelopment analysis (DEA) method is used to measure the overall efficiency and stage efficiency of the innovation resource allocation of 58 Chinese civil–military integration listed companies from 2010 to 2016. Tobit model is used to analyze the influencing factors of resource allocation efficiency.
Findings
The results indicate that the overall efficiency and stage efficiency of innovation resource allocation fluctuate in varying degrees during the period. The optimization of overall efficiency is restricted by lower efficiency of innovation achievement transformation. Enterprise scale was found to have a significant negative impact on both overall and two-stage efficiencies. Proportion of research and development (R&D) personnel had a positive effect on the overall and two-stage efficiency. Government support had a significant positive effect on the stage of innovation resource development and overall efficiency.
Originality/value
Previous research studies have used either the DEA or stochastic frontier analysis method to measure the efficiency of innovation activities as a whole and ignored the stage of initial investment to final output in innovation activities. That is, the process in which initial input of R&D resources becomes innovation output, and then becomes economic benefits. Therefore, this paper studies the efficiency of innovation resource allocation of civil–military integration listed companies. The improved two-stage chain network DEA method and Tobit model were used.
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Bing Hua, Zhiwen Zhang, Yunhua Wu and Zhiming Chen
The geomagnetic field vector is a function of the satellite’s position. The position and speed of the satellite can be determined by comparing the geomagnetic field vector…
Abstract
Purpose
The geomagnetic field vector is a function of the satellite’s position. The position and speed of the satellite can be determined by comparing the geomagnetic field vector measured by on board three-axis magnetometer with the standard value of the international geomagnetic field. The geomagnetic model has the disadvantages of uncertainty, low precision and long-term variability. Therefore, accuracy of autonomous navigation using the magnetometer is low. The purpose of this paper is to use the geomagnetic and sunlight information fusion algorithm to improve the orbit accuracy.
Design/methodology/approach
In this paper, an autonomous navigation method for low earth orbit satellite is studied by fusing geomagnetic and solar energy information. The algorithm selects the cosine value of the angle between the solar light vector and the geomagnetic vector, and the geomagnetic field intensity as observation. The Adaptive Unscented Kalman Filter (AUKF) filter is used to estimate the speed and position of the satellite, and the simulation research is carried out. This paper also made the same study using the UKF filter for comparison with the AUKF filter.
Findings
The algorithm of adding the sun direction vector information improves the positioning accuracy compared with the simple geomagnetic navigation, and the convergence and stability of the filter are better. The navigation error does not accumulate with time and has engineering application value. It also can be seen that AUKF filtering accuracy is better than UKF filtering accuracy.
Research limitations/implications
Geomagnetic navigation is greatly affected by the accuracy of magnetometer. This paper does not consider the spacecraft’s environmental interference with magnetic sensors.
Practical implications
Magnetometers and solar sensors are common sensors for micro-satellites. Near-Earth satellite orbit has abundant geomagnetic field resources. Therefore, the algorithm will have higher engineering significance in the practical application of low orbit micro-satellites orbit determination.
Originality/value
This paper introduces a satellite autonomous navigation algorithm. The AUKF geomagnetic filter algorithm using sunlight information can obviously improve the navigation accuracy and meet the basic requirements of low orbit small satellite orbit determination.
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Zhang Lei, Yingshan Chen, Zhiwen Liu, Wenjin Ji and Suqing Zhao
In this study, a highly sensitive and quantitative analysis method using surface-enhanced Raman scattering (SERS)-labeled immunoassay is adopted for bisphenol A bisphenol A (BPA…
Abstract
Purpose
In this study, a highly sensitive and quantitative analysis method using surface-enhanced Raman scattering (SERS)-labeled immunoassay is adopted for bisphenol A bisphenol A (BPA) detection in water samples.
Design/methodology/approach
Primarily, an excellent SERS immuno-nanoprobe is prepared, which relays on Au/Ag core-shell nanoparticles tagged 4-mercaptobenzoic acid (4MBA) and labeled with specific antibody against BPA. Second, the coating antigen of 4,4-Bis(4-hydroxyphenol) valeric acid (BVA) coupling poly-L-lysine (PLL) conjugate (BVA-PLL) is fastened on the substrate. Based on competitive immunoassay, the antibody labeled on SERS immuno-nanoprobe will bind with the free BPA and BVA-PLL competitively.
Findings
A calibration curve was obtained by plotting the intensity of SERS signal of 4MBA at 1007 cm−1 versus the concentration of BPA. The results indicated that the limit of detection (LOD) for BPA is 1 ng/mL and present a great capacity for higher sensitivity. Furthermore, the method was able to quantitatively detect BPA in water samples, which was validated by high performance liquid chromatography (HPLC).
Originality/value
The method was developed based on competitive immunoassay, and the conjugate (BVA-PLL) was chosen as the coating antigen. Au/Ag core-shell nanoparticles played as the SERS active substrate and were labeled with Raman reporter. The value of this paper is supplying a wide potential for analysis of target analytes in the environmental monitoring and food safety.
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Li Liu, Chunhua Zhang, Ping Hu, Sheng Liu and Zhiwen Chen
This paper aims to investigate the moisture diffusion behavior in a system-in-package module systematically by moisture-thermalmechanical-coupled finite element modeling with…
Abstract
Purpose
This paper aims to investigate the moisture diffusion behavior in a system-in-package module systematically by moisture-thermalmechanical-coupled finite element modeling with different structure parameters under increasingly harsh environment.
Design/methodology/approach
A finite element model for a system-in-package module was built with moisture-thermal-mechanical-coupled effects to study the subsequences of hygrothermal conditions.
Findings
It was found in this paper that the moisture diffusion path was mainly dominated by hygrothermal conditions, though structure parameters can affect the moisture distribution. At lower temperatures (30°C~85°C), the direction of moisture diffusion was from the periphery to the center of the module, which was commonly found in simulations and literatures. However, at relatively higher temperatures (125°C~220°C), the diffusion was from printed circuit board (PCB) to EMC due to the concentration gradient from PCB to EMC across the EMC/PCB interface. It was also found that there exists a critical thickness for EMC and PCB during the moisture diffusion. When the thickness of EMC or PCB increased to a certain value, the diffusion of moisture reached a stable state, and the concentration on the die surface in the packaging module hardly changed. A quantified correlation between the moisture diffusion coefficient and the critical thickness was then proposed for structure parameter optimization in the design of system-in-package module.
Originality/value
The different moisture diffusion behaviors at low and high temperatures have seldom been reported before. This work can facilitate the understanding of moisture diffusion within a package and offer some methods about minimizing its effect by design optimization.
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The fuel retailing landscape in India is undergoing a structural shift with the reforms undertaken by the government that would help the private and foreign firms to enter this…
Abstract
Purpose
The fuel retailing landscape in India is undergoing a structural shift with the reforms undertaken by the government that would help the private and foreign firms to enter this market. India is poised to become the world's largest growth market for energy by the mid-2020s. IoT has become an integral digital technology for the fuel retailers in the retail oil outlet (ROO) ecosystem. The purpose of this paper is to develop an Internet of Things (IoT) business model for the Indian oil marketing companies (OMCs') ROOs.
Design/methodology/approach
Using literature review along with a survey among 660 respondents led to 402 valid observations, and the variables that contributed to IoT adoption at the OMCs' ROOs were identified. Using the BMC tool (Osterwalder and Pigneur, 2009), the relative importance of the variables within each building block was established. The means of all the variables were measured against the average of all the variables, and significant differences were searched for in each block. The notable differences of the means along with significant high and low means were highlighted.
Findings
This paper depicts empirical research that led to a framework of an IoT business model for Indian public sector ROOs. It also represents the usefulness of the Technology-Organization-Environment framework at the OMCs ROOs and extends the literature by incorporating “data security” to the existent framework of technology, organization and environment within the IoT ecosystem.
Research limitations/implications
The outcome of the research should be analysed in the Indian context as all the respondents were from India. The study was conducted for the ROOs of Indian Oil Corporation Limited, Hindustan Petroleum Corporation Limited and Bharat Petroleum Corporation Limited and excluded their downstream operations. The dispensers in the OMCs vary along with their marketing strategies in the retail segments. The IoT business model can be customized for a particular OMC, which is scope of further research.
Practical implications
The study has practical implications for those global fuel retailers embarking on the IoT adoption drive at their ROOs about the need to install “data security” measures in the connected IoT environment. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.
Social implications
The new emerging technological business models provide competitive edge to those organizations adopting them (Barney, 1991; Clemons and Row, 1991; Feeny and Ives, 1990). The study will enable the OMCs to implement the IoT business model at their ROOs for enhancing their revenue streams and profitability and lowering of operating costs. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.
Originality/value
The contribution of the paper is that it is among the first to map the variables that contribute to IoT adoption at the OMCs' ROOs, within the building blocks of the BMC tool (Osterwalder and Pigneur, 2009), according to their importance. To retain their dominance and have a first-mover competitive advantage, this study enables the OMCs to adopt the IoT business model and transform their ROOs into Internet-connected intelligent fuel outlets.
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Ting Pan, Jiaqing Yan, Shenyun Zhou, Yingjie Cai and Congda Lu
The purpose of this paper is to propose the situation that the existing parking automated guided vehicle (AGV) has a single walking mode, a spin forward motion mode based on a…
Abstract
Purpose
The purpose of this paper is to propose the situation that the existing parking automated guided vehicle (AGV) has a single walking mode, a spin forward motion mode based on a dual steering wheel driven parking AGV. In this way, the AGV can complete the 180° spin of the AGV in the process of straight forward.
Design/methodology/approach
A spin forward kinematics model of the dual steering wheel AGV is established, and a motion controller of the dual steering wheel AGV is designed based on the principle of model predictive control to complete the path following the spin forward motion mode.
Findings
Computer simulations and laboratory tests were performed on this movement mode, which showed that the operation mode was feasible. It also verified that the mode can improve the handling efficiency, and also solved the problem that the parking space beside the wall could not be set and the site utilization was improved.
Research limitations/implications
The controller should be further improved to make the operation smoother and more accurate.
Practical implications
This mode has the applicability to the indoor logistics AGVs. In addition, it can improve the handling efficiency and also solved the problem that the storage space for goods beside the wall could not be set and the site utilization was improved.
Social implications
This method can solve the problem due to the increasing number of private cars and parking spaces are hard to find. It increases the number of parking spaces and improves the utilization rate of the site. In addition, it also saves people the time to find a parking space and reduces car exhaust emissions in the process. It follows the requirements of sustainable development.
Originality/value
The studies in this paper provide AGV with more ideas on the issue of improving handling efficiency and site utilization and also solves the problem of being unable to set parking spaces when parking against the wall. In addition, this model has applicability to indoor logistics AGV and plays the same role.
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Hang Jun Zhang, Wilco Wai Hung Chan, Hanqin Qiu and Sharif Shams Imon
There is a void in systematically assessing obstructive factors as antecedents in the technology acceptance model (TAM). Three obstructive factors are investigated, namely…
Abstract
Purpose
There is a void in systematically assessing obstructive factors as antecedents in the technology acceptance model (TAM). Three obstructive factors are investigated, namely, discomfort, insecurity and risk. Besides, this study aims to propose the moderator – personal capability (PC) and tested its effects on the relationship between perceived usefulness (PU) and perceived ease of use (PEU) and behavioral intention (BI).
Design/methodology/approach
Quantitative data analysis was used to verify the adapted model by using Smart PLS4. The data from 327 valid respondents are analyzed.
Findings
Discomfort is a significant antecedent impacting both PU and PEU. Insecurity and risk are inhibitors of PEU and PU, respectively. This study contributes to the scarce literature on the moderating effects of PC that moderates the influence between PU and BI positively.
Originality/value
This study contributes a new TAM extension by incorporating obstructive factors and exploring the moderating role of personal capability about AR Glasses. This research also enables innovation companies to enhance the design of their products and services via users’ feedback.
研究目的
系统评估阻碍因素作为技术接受模型(TAM)的先驱方面存在一定的空白。本研究调查了三个阻碍因素, 即不适感, 不安全感和风险。此外, 本研究提出了调节变量 - 个人能力(PC), 并测试其对感知有用性(PU); 感知易用性(PEU)和行为意图(BI)之间关系的影响。
研究方法
使用量化数据分析验证了通过Smart PLS4使用的调整模型。对327名有效受访者的数据进行了分析。
研究发现
不适感是影响PU和PEU的显著先驱因素。不安全感和风险分别是PEU和PU的抑制因素。本研究在稀缺文献中贡献了个人能力的调节效应, 积极调节PU和BI之间影响的研究。
研究创新
本研究通过纳入阻碍因素并探索个人能力在AR眼镜方面的调节作用, 为TAM提供了一种新的拓展。此外, 该研究还使创新公司能够通过用户的反馈来增强其产品和服务的设计。
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Sadrac Jean Pierre and Claudel Mombeuil
This paper hypothesized that perceived relative advantage and perceived compatibility would have a positive effect on merchants' intention to accept payments via P2P mobile…
Abstract
Purpose
This paper hypothesized that perceived relative advantage and perceived compatibility would have a positive effect on merchants' intention to accept payments via P2P mobile payment services, while perceived financial risks and perceived costs would have a negative effect. The study also explored the differences in gender, age and experience.
Design/methodology/approach
The proposed model is based on the valence framework, where positive utility is represented by relative advantage and perceived compatibility, while negative utility is represented by perceived risks and perceived costs. The data for this study were collected from small business owners (merchants) at the largest public market in the Center Department of Mirebalais, Haiti, using a purposive sampling method.
Findings
The results of a structural equation modeling on a sample of 339 merchants only confirmed the effect of both perceived comparative advantage and perceived compatibility. Furthermore, the multigroup analysis revealed that the perceived comparative advantage is stronger for female merchants, older age groups and merchants who frequently used P2P m-payment for the transfer of remittances. Perceived compatibility is stronger for male merchants, younger age groups and merchants who occasionally used P2P m-payment for the transfer of remittances.
Originality/value
This study was conducted in the economic context of Haiti, where P2P m-payments are commonly used for transferring remittances. Since there are limited studies that examine P2P m-payment acceptance from the perspective of merchants, this study offers valuable insights.
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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.