Yong Pan, Qin Molin, Tengxiao Guo, Lin Zhang, Bingqing Cao, Junchao Yang, Wen Wang and Xufeng Xue
This paper aims to give an overview about the state of wireless passive surface acoustic wave (SAW) gas sensor used in the detection of chemical vapor. It also discusses a variety…
Abstract
Purpose
This paper aims to give an overview about the state of wireless passive surface acoustic wave (SAW) gas sensor used in the detection of chemical vapor. It also discusses a variety of different architectures including delay line and array sensor for gas detection, and it is considered that this technology has a good application prospect.
Design/methodology/approach
The authors state the most of the wireless passive SAW methods used in gas sensing, such as CO2, CO, CH4, C2H4, NH3, NO2, et al., the sensor principles, design procedures and technological issues are discussed in detail; their advantages and disadvantages are also summarized. In conclusion, it gives a prospect of wireless passive SAW sensor applications and proposes the future research field might lie in the studying of many kinds of harmful gases.
Findings
In this paper, the authors will try to cover most of the important methods used in gas sensing and their recent developments. Although wireless passive SAW sensors have been used successfully in harsh environments for the monitoring of temperature or pressure, the using in chemical gases are seldom reported. This review paper gives a survey of the present state of wireless passive SAW sensor in gas detection and suggests new and exciting perspectives of wireless passive SAW gas sensor technology.
Research limitations/implications
The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted.
Originality/value
The authors will review most of the methods used in wireless passive SAW sensor and discuss the current research status and development trend; the potential application in future is also forecasted.
Details
Keywords
Huiliang Zhao, Qin Yang and Zhenghong Liu
The customer enables online reviews, discusses product features and enhances the user's experiences in online activities. Users generated product innovation and product reviews…
Abstract
Purpose
The customer enables online reviews, discusses product features and enhances the user's experiences in online activities. Users generated product innovation and product reviews effect as market competition. This research study explains deep learning, online reviews and product innovation empirical evidence used by mobile apps.
Design/methodology/approach
Online reviews and product innovation are very important for every organization and firms to achieve a competitive advantage in a large business environment. When the authors see past traditional history, customers are not involved in product creating and innovating processes. Due to new technology changes, online systems and web 2.0 increase this ability.
Findings
For this research purpose, the authors use different analytical software to measure the impact among variables. This study is established on primary data; this study collected data from online customers and its users. For data collection, the authors use some questionnaires, and these questions are filled from 200 respondents.
Research limitations/implications
This research study used data from the Google app store – Google product selling application – and gathered customers' online reviews. Research found that customers' online reviews and deep learning positively and significantly influence product innovation through networking technology. This research-based online mobile application and its research reviews found that organizations convert their own business online and effectively and efficiently enhance creditability.
Originality/value
This research study used data from the Google app store Google product selling application and gathered customers' online reviews. Research founded that customers' online reviews and deep learning are positively and significantly influence product innovation through networking technology. This research-based online mobile application and its research reviews found that organizations convert their own business online and effectively and efficiently enhance creditability.
Details
Keywords
Lin Jia, Chen Lin, Yiran Qin, Xiaowen Pan and Zhongyun Zhou
With the rapid development of paid online social question and answer (Q&A) communities, monetary social functions have been introduced and have potential benefits for both…
Abstract
Purpose
With the rapid development of paid online social question and answer (Q&A) communities, monetary social functions have been introduced and have potential benefits for both platforms and users. However, these functions' impact on knowledge contribution remains uncertain. This study proposes a conceptual model based on the stimulus–organism–response framework, according to which monetary and non-monetary social functions can help nurture short-term and long-term relationships among community users, and thereafter improves social identity and knowledge-sharing intentions.
Design/methodology/approach
This study selects Zhihu, a famous online social Q&A community in China, and conducts an online survey to collect data from its frequent users. A sample of 286 valid questionnaires was collected to test our research model by using a structural equation modeling method. In addition, a bootstrapping approach is used to test the mediation effect.
Findings
Results indicate that monetary social functions help nurture short-term and long-term relationships among community users. However, non-monetary social functions only affect short-term relationships directly. Short-term and long-term relationships both have a positive relationship with social identity and thereafter improve users' knowledge-sharing intentions.
Originality/value
This study focuses on users' knowledge-sharing intentions in Q&A communities from the perspective of social. Specifically, we separated social functions in Q&A platforms into monetary and non-monetary ones and explored their impact on the development of short-term and long-term relationships. Results demonstrate the importance of monetary social functions and explain how monetary and non-monetary social functions affect users' knowledge-sharing intentions in different approaches.
Details
Keywords
Miguel Pina e Cunha, Stewart Clegg, Arménio Rego and Marco Berti
Burrell (2020) challenged management and organization studies (MOS) scholars to pay attention to a topic they have mostly ignored: the peasantry, those 2 billion people that work…
Abstract
Purpose
Burrell (2020) challenged management and organization studies (MOS) scholars to pay attention to a topic they have mostly ignored: the peasantry, those 2 billion people that work in the rural primary sector. This paper aims to address the topic to expand Burrell’s challenge by indicating that the peasantry offers a unique context to study a paradoxical condition: the coexistence of persistent poverty and vanguardist innovation.
Design/methodology/approach
The authors advance conceptual arguments that complement the reasons why researchers should pay more attention to the peasantry. They argue that continuation of past research into field laborers, transitioning from feudalism to industrial capitalism, still has currency, not just because of the good reasons listed by Burrell (enduring relevance of the phenomenon in developing countries; sustainability concerns; acknowledgment of common heritage) but also because some seemingly archaic practices are evident in the economically developed countries where most management and organizations scholars live.
Findings
The authors show that in advanced economies, the peasantry has not disappeared, and it is manifested in contradictory forms, as positive force contributing to sustainable productivity (in the case of digitized agriculture) and as a negative legacy of social inequality and exploitation (as a form of modern slavery).
Originality/value
The authors discuss contrasting themes confronting management of the peasantry, namely, modern slavery and digital farming, and propose that a paradox view may help overcome unnecessary dualisms, which may promote social exclusion rather than integrated development.
Details
Keywords
Yongqing Xiong, Qian Cheng, Yukang Xiong and Mingyan Liao
This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.
Abstract
Purpose
This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.
Design/methodology/approach
Around 902 valid questionnaires were collected using the questionnaire to analyze the different effects of three types of IS (official, interpersonal and commercial) on mass consumers' PIs. Besides, this study investigates the mechanisms by examining the mediating effect of perceived risk (PR) and the moderating effect of individual differences like age and education level.
Findings
The three types of NEV IS stimulate the PI of mass consumers, but there are some differences, with interpersonal information sources (IISs) having the strongest contribution, followed by official information sources (OISs) and commercial information sources (CISs) the least. Meanwhile, PR plays a mediating role in the effect of NEV IS on mass consumers' PIs, and age and education level moderate the influence paths. Specifically, the moderating effect of age mainly works on the negative impact of PR on PI, while education level moderates the influence of IS on PR.
Originality/value
This study contributes to filling the gaps in the current understanding of the role played by NEV IS in shaping consumer preferences and choices. It provides valuable insights for automotive manufacturers, policymakers and marketers to tailor their marketing strategies and improve information dissemination to effectively promote NEV adoption among mass consumers.
Details
Keywords
Xuemei Li, Shiwei Zhou, Kedong Yin and Huichao Liu
The purpose of this paper is to measure the high-quality development level of China's marine economy and analyze corresponding spatial and temporal distribution characteristic.
Abstract
Purpose
The purpose of this paper is to measure the high-quality development level of China's marine economy and analyze corresponding spatial and temporal distribution characteristic.
Design/methodology/approach
Design and optimize the index system of high-quality development level of marine economy and use entropy and TOPSIS method for comprehensive evaluation.
Findings
The research finds that from 2017 to 2019, the high-quality development tendency of China's marine economy is on the rise, but the overall level is still low. The level of each subsystem has different distribution characteristics in different provinces and cities. Guangdong, Shandong and Shanghai have a high comprehensive level. According to the comprehensive level of high-quality development of marine economy, 11 coastal provinces are divided into three types: leading, general and backward.
Research limitations/implications
This paper clarifies the temporal and spatial distribution law of high-quality development level of China's marine economy, providing basis for promoting comprehensive and coordinated improvement of coastal provinces and cities.
Originality/value
An indicator system for the high-quality development level of the marine economy has been established, including social development guarantee, marine economic foundation, marine science and technology drive and green marine sustainability.
Details
Keywords
Farman Afzal, Shao Yunfei, Mubasher Nazir and Saad Mahmood Bhatti
In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to…
Abstract
Purpose
In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to review and compile the current AI methods used for cost-risk assessment in the construction management domain in order to capture complexity and risk interdependencies under high uncertainty.
Design/methodology/approach
This paper makes a content analysis, based on a comprehensive literature review of articles published in high-quality journals from the years 2008 to 2018. Fuzzy hybrid methods, such as fuzzy-analytical network processing, fuzzy-artificial neural network and fuzzy-simulation, have been widely used and dominated in the literature due to their ability to measure the complexity and uncertainty of the system.
Findings
The findings of this review article suggest that due to the limitation of subjective risk data and complex computation, the applications of these AI methods are limited in order to address cost overrun issues under high uncertainty. It is suggested that a hybrid approach of fuzzy logic and extended form of Bayesian belief network (BBN) can be applied in cost-risk assessment to better capture complexity-risk interdependencies under uncertainty.
Research limitations/implications
This study only focuses on the subjective risk assessment methods applied in construction management to overcome cost overrun problem. Therefore, future research can be extended to interpret the input data required to deal with uncertainties, rather than relying solely on subjective judgments in risk assessment analysis.
Practical implications
These results may assist in the management of cost overrun while addressing complexity and uncertainty to avoid chaos in a project. In addition, project managers, experts and practitioners should address the interrelationship between key complexity and risk factors in order to plan risk impact on project cost. The proposed hybrid method of fuzzy logic and BBN can better support the management implications in recent construction risk management practice.
Originality/value
This study addresses the applications of AI-based methods in complex construction projects. A proposed hybrid approach could better address the complexity-risk interdependencies which increase cost uncertainty in project.
Details
Keywords
Yee-man Tsui and Ben Y.F. Fong
The purpose of this paper is to review the causes of long waiting time in Hong Kong public hospitals and to suggest solutions in the service, organisational, systems, financial…
Abstract
Purpose
The purpose of this paper is to review the causes of long waiting time in Hong Kong public hospitals and to suggest solutions in the service, organisational, systems, financial and policy perspectives.
Design/methodology/approach
The paper is a review of waiting time of public hospital services. Total joint replacement, which is one of the elective surgeries in public hospitals, is presented as a case study.
Findings
The average waiting time of semi-urgent and non-urgent patients in the accident and emergency departments of public hospitals is two hours, and that of specialist outpatient (SOP) clinics is from 1 to 144 weeks. For total joint replacement, it is from 36 to 110 months. Measures like Government subsidisation programme for the replacement surgery and employing adequate physiotherapists, Chinese medicine practitioners, clinical psychologists and nurses to reduce the waiting time are suggested. Issues concerning the healthcare system of Hong Kong, such as structural reform, service delivery model, primary care, quality and process management, and policy reviews, are also discussed.
Originality/value
The over-reliance of public services has resulted in long waiting time in public hospitals in Hong Kong, particularly in the emergency services and SOP clinics. However, the consequences of long waiting period for surgical operations, though much less discussed by the media and public, can be potentially detrimental to the patients and families, and may result in more burdens to the already stretched public hospitals.
Details
Keywords
Farman Afzal, Shao Yunfei, Danish Junaid and Muhammad Shehzad Hanif
Risk analysis plays a vital role in controlling and managing cost overruns in complex construction projects, particularly where uncertainty is high. This study attempts to address…
Abstract
Purpose
Risk analysis plays a vital role in controlling and managing cost overruns in complex construction projects, particularly where uncertainty is high. This study attempts to address an important issue of cost overrun that encountered by metropolitan rapid transit projects in relation to the significance of risk involved under high uncertainty.
Design/methodology/approach
In order to solve cost overrun problems in metropolitan transit projects and facilitate the decision-makers for effective future budgeting, a cost-risk contingency framework has been designed using fuzzy logic, analytical hierarchy process and Monte Carlo simulation.
Findings
Initially, a hierarchical breakdown structure of important complexity-driven risk factors has been conceptualized herein using relative importance index. Later, a proposed cost-risk contingency framework has investigated the expected total construction cost in order to consider the additional budgeted cost required to mitigate the risk consequences for particular project activity. The results of cost-risk analysis imply that poor design issues, an increase in material prices and delays in relocating facilities show higher dependency and increase the risk of cost overrun in metropolitan transit projects.
Practical implications
The findings and implication for project managers could possibly be achieved by assuming the proposed cost-risk contingency framework under high uncertainty of cost found in this research. Furthermore, this procedure may be used by experts from other engineering domains by replacing and considering the complex relationship between complexity-risk factors.
Originality/value
This study contributes to the body of knowledge by providing a practical contingency model to identify and evaluate the additional risk cost required to compute total construction cost for getting stability in future budgeting.
Details
Keywords
Queli Regina Fritsch Denes, Rosana de Cassia de Souza Schneider and Liane Mahlmann Kipper
The objective of the present research was to carry out a scientific map about life cycle assessment (LCA) and triple bottom line (TBL) at slaughterhouse areas, looking for Cleaner…
Abstract
Purpose
The objective of the present research was to carry out a scientific map about life cycle assessment (LCA) and triple bottom line (TBL) at slaughterhouse areas, looking for Cleaner Production practices aiming at recognizing strategic themes for maintaining the sustainability of productive systems, according to the development of sustainable practices and production evolution in slaughterhouse areas.
Design/methodology/approach
The literature analysis was based on general approach, with steps adapted of study phases and activities of preferred reporting items for systematic review and meta-analyses (PRISMA) recommendation guide to do systematic literature review. Activities were subdivided to discuss the results in two kinds of analysis: quantitative and qualitative.
Findings
The main findings of our study reinforce the LCA importance in slaughterhouses to promote Cleaner Production, so that the main measures suggested and/or adopted by different authors include the substitution of raw materials by feeding, with the adoption of grains, protein supplements with less environmental impact in the composition of the feed and changes in the processes seeking for better energy efficiency and optimization of water consumption in meat processing.
Research limitations/implications
There is another action of sustainability considering LCA and Cleaner Production practices in the industrial meat area that should also be considered. These actions are restricted to documents of business circulation, with limited access since they involve issues regarding innovations in economic and technological aspects of slaughterhouses, as well as industrial confidentiality. Furthermore, in patent bases it is possible to advance the studies looking for how the digital transformation has been carried out in this industrial branch, since the 4.0 transformation industry tends to use clean technologies.
Originality/value
There are LCA models with a systemic approach to measure the level of sustainability of a process, comprising analysis of impacts related to different areas: environmental, social and economic although in terms of the meat production chain, the impact analysis focuses mainly on the environmental area. So, future works should be developed in meat production chain to assess social and economic impacts, i.e. a sustainable LCA addressing the three areas to consolidate models and standardize metrics with a scientific basis.