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1 – 10 of 152Peng Ouyang, Jiaming Liu and Xiaofei Zhang
Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the…
Abstract
Purpose
Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the accumulated popularity can help physicians attract patients remain unclear. To unveil these gaps, this study aims to examine how physicians' popularity are affected by their free knowledge sharing, how the relationship between free knowledge sharing and popularity is moderated by professional capital, and how the popularity finally impacts patients' attraction.
Design/methodology/approach
The authors collect a panel dataset from Hepatitis B within an online health community platform with 10,888 observations from April 2020 to August 2020. The authors develop a model that integrates free knowledge sharing, popularity, professional capital, and patients' attraction. The hierarchical regression model is used to for examining the impact of free knowledge sharing on physicians' popularity and further investigating the impact of popularity on patients' attraction.
Findings
The authors find that the quantity of articles acted as the heuristic cue and the quality of articles acted as the systematic cue have positive effect on physicians' popularity, and this effect is strengthened by physicians' professional capital. Furthermore, physicians' popularity positively influences their patients' attraction.
Originality/value
This study reveals the aggregation of physicians' popularity and patients' attraction within online health communities and provides practical implications for managers in online health communities.
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Keywords
Jian Wei, XiaoYue Sun, Jing Tian and CaiHong Liu
This paper aims to study the impact of transient velocity changes on sealing performance during reciprocating sealing processes.
Abstract
Purpose
This paper aims to study the impact of transient velocity changes on sealing performance during reciprocating sealing processes.
Design/methodology/approach
Establish a model of transient mixed lubrication, solve the transient Reynolds equation, consider the effect of temperature rise at the seal interfaces, and determine the behavior of the seal interfaces, such as film thickness and fluid pressure. Evaluation with friction and leakage rate, calculate the variation of sealing performance with reciprocating velocity under different working conditions, and verify it through bench experiments.
Findings
Within a reciprocating stroke, the frictional force decreases with increasing velocity, and the frictional force of the outstroke is greater than that of the instroke; at the time of the stroke transition, the fluid pressure is smallest and the rough peak contact pressure is greatest. At present, the dynamic pressure effect of fluids is the largest, and the friction force also increases, which increases the risk of material wear and failure. Friction and leakage increase with increasing pressure and root mean square roughness. As temperature increases, friction increases and leakage decreases. In studying the performance variations of seal components through a reciprocating sealing experiment, it was found that the friction force decreases with increasing velocity, which is consistent with the calculated results and more similar to the calculated results considering the temperature rise.
Originality/value
This study provides a reference for the study of transient sealing performance.
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Keywords
Behzad Foroughi, Mohammad Iranmanesh, Mahaletchimi Kuppusamy, Yuvaraj Ganesan, Morteza Ghobakhloo and Madugoda Gunaratnege Senali
Gamification applications (apps) are gaining great attention in many contexts and have grown increasingly. Despite their significant role in many settings, prior research mainly…
Abstract
Purpose
Gamification applications (apps) are gaining great attention in many contexts and have grown increasingly. Despite their significant role in many settings, prior research mainly focused on initial adoption, and there are limited studies on the post-adoption stage. This study aims to explore the factors influencing individuals’ continuance intention to use gamified task manager apps, drawing on the technology continuance theory (TCT) by integrating enjoyment, habit and social influence.
Design/methodology/approach
Data were obtained from 318 Malaysian who had prior experience with task management gamified apps and analysed with the partial least squares approach.
Findings
According to the results, confirmation, perceived usefulness (PU) and enjoyment positively influence satisfaction. PU, enjoyment, satisfaction and social influence affect attitude, while the result failed to confirm the association between perceived ease of use and attitude. Furthermore, PU, attitude and habit are strong determinants of users’ continuance intention. Moreover, continuance intention was not predicted by users’ satisfaction and social influence.
Practical implications
The findings provide directions for developers and marketers of gamified task manager apps. Besides the technological and functional benefits of applications, they should also consider social, hedonic and individual factors in the designing and marketing stages.
Originality/value
This study extends the literature by assessing the determinants of continuous intention to use gamified task manager apps; and extending the TCT in the context of gamification by incorporating three contextual factors, namely, perceived enjoyment, social influence and habit.
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Keywords
Ruizhen Song, Xin Gao, Haonan Nan, Saixing Zeng and Vivian W.Y. Tam
This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based…
Abstract
Purpose
This research aims to propose a model for the complex decision-making involved in the ecological restoration of mega-infrastructure (e.g. railway engineering). This model is based on multi-source heterogeneous data and will enable stakeholders to solve practical problems in decision-making processes and prevent delayed responses to the demand for ecological restoration.
Design/methodology/approach
Based on the principle of complexity degradation, this research collects and brings together multi-source heterogeneous data, including meteorological station data, remote sensing image data, railway engineering ecological risk text data and ecological restoration text data. Further, this research establishes an ecological restoration plan library to form input feature vectors. Random forest is used for classification decisions. The ecological restoration technologies and restoration plant species suitable for different regions are generated.
Findings
This research can effectively assist managers of mega-infrastructure projects in making ecological restoration decisions. The accuracy of the model reaches 0.83. Based on the natural environment and construction disturbances in different regions, this model can determine suitable types of trees, shrubs and herbs for planting, as well as the corresponding ecological restoration technologies needed.
Practical implications
Managers should pay attention to the multiple types of data generated in different stages of megaproject and identify the internal relationships between these multi-source heterogeneous data, which provides a decision-making basis for complex management decisions. The coupling between ecological restoration technologies and restoration plant species is also an important factor in improving the efficiency of ecological compensation.
Originality/value
Unlike previous studies, which have selected a typical section of a railway for specialized analysis, the complex decision-making model for ecological restoration proposed in this research has wider geographical applicability and can better meet the diverse ecological restoration needs of railway projects that span large regions.
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Chi Zhang, Kun He, Wenjie Zhang, Ting Jin and Yibin Ao
To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are…
Abstract
Purpose
To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are explored from the perspective of willingness of participants.
Design/methodology/approach
In this paper, a tripartite game model involving the design firm, component manufacturer and construction firm is constructed and a system dynamics method is used to explore the influencing factors and game evolution path of three parties' application of BIM technology, from three perspectives, cost, benefit and risk.
Findings
The government should formulate measures for promoting the application of BIM according to different BIM application willingness of the parties. When pursuing deeper BIM application, the design firm should pay attention to reducing the speculative benefits of the component manufacturer and the construction firm. The design firm and the component manufacturer should pay attention to balancing the cost and benefit of the design firm while enhancing collaborative efforts. When the component manufacturer and the construction firm cooperate closely, it is necessary to pay attention to balanced distribution of interests of both parties and lower the risk of BIM application.
Originality/value
This study fills a research gap by comprehensively investigating the influencing factors and game evolution paths of willingness of the three parties to apply BIM technology to prefabricated buildings. The research helps to effectively improve the building quality and construction efficiency, and is expected to contribute to the sustainability of built environment in the context of circular economy in China.
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Yanan Wang, Lee Yen Chaw, Choi-Meng Leong, Yet Mee Lim and Abdulkadir Barut
This study intends to investigate the determinants of learners' continuance intention to use massive open online courses (MOOCs) for personal or professional development.
Abstract
Purpose
This study intends to investigate the determinants of learners' continuance intention to use massive open online courses (MOOCs) for personal or professional development.
Design/methodology/approach
This study employed quantitative research design. The respondents were individual learners from six selected universities in China who used MOOCs for continuous learning. A purposive sampling technique was employed to obtain 270 valid samples. Data were analyzed and analytical outputs were produced using the techniques of Partial Least Squares Structural Equation Modeling and Importance-Performance Matrix.
Findings
Expectation confirmation was found to have a positive relationship with perceived usefulness, flow experience, learning self-efficacy and satisfaction with MOOCs. Perceived usefulness, flow experience and leaning self-efficacy were also found to have a positive relationship with MOOC satisfaction. In addition, perceived usefulness, flow experience, learning self-efficacy and MOOC satisfaction had a positive impact on continuance usage intention.
Originality/value
The outcomes of the study can serve as a practical reference for MOOC providers and decision-makers to develop relevant strategies to increase the course completion rates.
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Sun-Ae Cho and Yu Jung Jennifer Jeon
As branded apps emerge as a marketing tool in the foodservice industry, the effort to manage them increases in the long term. This study aims to explore the determinants to…
Abstract
Purpose
As branded apps emerge as a marketing tool in the foodservice industry, the effort to manage them increases in the long term. This study aims to explore the determinants to continue the use of foodservice apps by adopting the post-acceptance model (PAM) of information systems continuance and the theory of planned behavior (TPB).
Design/methodology/approach
Based on a sample from a survey of 329 participants who use foodservice apps, a structural equation model analysis tested the relationships between the core constructs of both models.
Findings
The findings revealed the user confirmation of expectation leads to continued use of the app through satisfaction. Perceived usefulness, a key technology acceptance measure, however, has no direct effect on usage but on attitude. Among the salient behavioral beliefs of the TPB, only attitude and perceived behavioral control promoted continued use of the foodservice apps.
Practical implications
The study provided a framework to establish a practical strategy for foodservice firms by specifying important aspects, which induce the use of branded apps. Given that it is vital to meet users’ expectations to build branded-app loyalty, continuous interaction with users is required along with customized marketing.
Originality/value
On the basis of the PAM and the TPB, the findings contributed to developing and testing a model that motivates users to continue the use of foodservice branded apps. The study is significant, in that it enriched the PAM by integrating cognitive aspects to explore the psychological mechanisms in the post-adoption phase of foodservice app users.
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Muhammed Sajid, V. Midhun, K.A. Zakkariya, Mukul Dev Surira and K.P. Vishnu
The purpose of this study is to investigate the motivations and barriers behind the adoption of bike-sharing services, explore the influence of individual values and environmental…
Abstract
Purpose
The purpose of this study is to investigate the motivations and barriers behind the adoption of bike-sharing services, explore the influence of individual values and environmental knowledge on bike-sharing adoption and analyze the relationship between reasons, attitude and intention to utilize bike-sharing.
Design/methodology/approach
The study initially conducted a semi-structured interview with 19 bike-sharing users and performed a thematic analysis to identify the context-specific motivators and barriers. The identified factors were then incorporated into the behavioral reasoning theory (BRT) framework and quantitatively examined using the data gathered from 412 Indian bike-sharing users.
Findings
The findings outlined the complex reasoning process underlying bike-sharing adoption and how environmental value and attitude are related to the reasons. Further, the study examined the moderating impact of environmental knowledge, which was overlooked in previous studies.
Practical implications
The study provides valuable suggestions to bike-sharing businesses, which helps them to induce facilitators and remove barriers.
Originality/value
Behavioral research in bike-sharing is in its embryonic stage. This is one of the initial attempts to address this knowledge deficit by comprehensively examining the factors affecting bike-sharing intention through the theoretical lens of BRT.
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Julie Krogh Agergaard, Kristoffer Vandrup Sigsgaard, Niels Henrik Mortensen, Jingrui Ge and Kasper Barslund Hansen
The purpose of this paper is to investigate the impact of early-stage maintenance clustering. Few researchers have previously studied early-stage maintenance clustering…
Abstract
Purpose
The purpose of this paper is to investigate the impact of early-stage maintenance clustering. Few researchers have previously studied early-stage maintenance clustering. Experience from product and service development has shown that early stages are critical to the development process, as most decisions are made during these stages. Similarly, most maintenance decisions are made during the early stages of maintenance development. Developing maintenance for clustering is expected to increase the potential of clustering.
Design/methodology/approach
A literature study and three case studies using the same data set were performed. The case studies simulate three stages of maintenance development by clustering based on the changes available at each given stage.
Findings
The study indicates an increased impact of maintenance clustering when clustering already in the first maintenance development stage. By performing clustering during the identification phase, 4.6% of the planned work hours can be saved. When clustering is done in the planning phase, 2.7% of the planned work hours can be saved. When planning is done in the scheduling phase, 2.4% of the planned work hours can be saved. The major difference in potential from the identification to the scheduling phase came from avoiding duplicate, unnecessary and erroneous work.
Originality/value
The findings from this study indicate a need for more studies on early-stage maintenance clustering, as few others have studied this.
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Prasanta Kr Chopdar, Miltiadis D. Lytras and Anna Visvizi
Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and…
Abstract
Purpose
Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework for identifying the factors necessary to predict bike-sharing intention among users in India.
Design/methodology/approach
Data were collected through a questionnaire distributed across four major cities in India, and 515 responses were analyzed. A sequential approach was employed to analyze the data using Partial Least Square–Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA).
Findings
The findings from PLS analysis revealed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and price value are the salient variables that affect users' intentions to participate in bike sharing. In addition, based on fsQCA, six configurations of causal conditions are presented as intermediate solutions that produce the same results. Although antecedent conditions, such as habit and social influence, had an insignificant effect on individuals' BSI, they create conditions sufficient to encourage users' participation in bike sharing in combination with other variables.
Research limitations/implications
A few limitations of this research and the implications of the findings in terms of theory and policy implications are also discussed.
Originality/value
The reported study is one of the earliest to explain bike-sharing adoption in India using the UTAUT 2 model.
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