Jeffrey D. Kushkowski, Kristin H. Gerhard and Cynthia Dobson
This paper describes a simple method for developing a list of core serials in a particular subject field by analysing article citations in electronic indexes. The Simple Index…
Abstract
This paper describes a simple method for developing a list of core serials in a particular subject field by analysing article citations in electronic indexes. The Simple Index Method overcomes the difficulties in building a core list for serials in interdisciplinary fields by using multiple indexes which cover various aspects of the subject. This method permits the collection development librarian to develop a core list when standard bibliographies or specific indexing and abstracting tools are lacking and to tailor that list to the needs of the local situation.
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Adnan Muhammad Shah, Wazir Muhammad and KangYoon Lee
This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the…
Abstract
Purpose
This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the critical factor of environment uncertainty (i.e. disease risk) and its impact on physician demand is also investigated. Further, the research on the endogeneity of online reviews in healthcare is also examined in the current study.
Design/methodology/approach
A secondary data econometric analysis using 3-wave data sets of 823 physicians obtained from two PRWs (Healthgrades and Vitals) was conducted. The analysis was run using the difference-in-difference method to consider physician and website-specific effects.
Findings
The study's findings indicate that physician popularity has a stronger positive effect on physician demand compared with service feedback. Improving popularity leads to a relative increase in the number of appointments, which in turn enhance physician demand. Further, the impact of physician popularity on physician demand is positively mitigated by the disease risk.
Originality/value
The authors' research contributes to a better understanding of the signaling transmission mechanism in the online healthcare environment. Further, the findings provide practical implications for key stakeholders into how an efficient feedback and popularity mechanism can be built to enhance physician service outcomes in order to maximize the financial efficiency of physicians.
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R. Siva Subramanian, B. Yamini, Kothandapani Sudha and S. Sivakumar
The new customer churn prediction (CCP) utilizing deep learning is developed in this work. Initially, the data are collected from the WSDM-KKBox’s churn prediction challenge…
Abstract
Purpose
The new customer churn prediction (CCP) utilizing deep learning is developed in this work. Initially, the data are collected from the WSDM-KKBox’s churn prediction challenge dataset. Here, the time-varying data and the static data are aggregated, and then the statistic features and deep features with the aid of statistical measures and “Visual Geometry Group 16 (VGG16)”, accordingly, and the features are considered as feature 1 and feature 2. Further, both features are forwarded to the weighted feature fusion phase, where the modified exploration of driving training-based optimization (ME-DTBO) is used for attaining the fused features. It is then given to the optimized and ensemble-based dilated deep learning (OEDDL) model, which is “Temporal Context Networks (DTCN), Recurrent Neural Networks (RNN), and Long-Short Term Memory (LSTM)”, where the optimization is performed with the aid of ME-DTBO model. Finally, the predicted outcomes are attained and assimilated over other classical models.
Design/methodology/approach
The features are forwarded to the weighted feature fusion phase, where the ME-DTBO is used for attaining the fused features. It is then given to the OEDDL model, which is “DTCN, RNN, and LSTM”, where the optimization is performed with the aid of the ME-DTBO model.
Findings
The accuracy of the implemented CCP system was raised by 54.5% of RNN, 56.3% of deep neural network (DNN), 58.1% of LSTM and 60% of RNN + DTCN + LSTM correspondingly when the learning percentage is 55.
Originality/value
The proposed CCP framework using the proposed ME-DTBO and OEDDL is accurate and enhances the prediction performance.
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Vikram Bhatt, Leila M. Farah, Nik Luka and Jeanne M. Wolfe
The Edible Campus project was begun in spring 2007 in Montréal. An action-research project launched by volunteers and researchers from two leading local NGOs and university-based…
Abstract
The Edible Campus project was begun in spring 2007 in Montréal. An action-research project launched by volunteers and researchers from two leading local NGOs and university-based researchers (Alternatives, [online]; Santropol Roulant, [online]; McGill University's Minimum Cost Housing Group, [online]), it sought creative solutions to turn underutilised urban spaces into productive places. It involved citizens in the creation of green community spaces by incorporating productive growing in containers on a prominent but concrete-covered part of McGill University's downtown campus. Not only is it an investigation into making cities more food-secure by increasing urban food production, it is also a live demonstration of how ‘edible landscapes’ can be woven into urban spaces without diminishing their utility or functionality.
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Qin Chen, Jiahua Jin and Xiangbin Yan
Although online health communities (OHCs) and online patient reviews can help to eliminate health information asymmetry and improve patients' health management, how patients write…
Abstract
Purpose
Although online health communities (OHCs) and online patient reviews can help to eliminate health information asymmetry and improve patients' health management, how patients write online reviews within OHCs is poorly understood. Thus, it is very necessary to determine the factors influencing patients' online review behavior in OHCs, including the emotional response and reviewing effort.
Design/methodology/approach
Based on expectation-disconfirmation theory, this study proposes a theoretical model to analyze the effects of service quality perception (i.e. outcome quality and process quality perceptions) and disconfirmation (i.e. outcome quality and process quality disconfirmations) on patients' emotional response and reviewing effort. The authors test the research model by using empirical data collected from a popular Chinese OHC and applying ordinary least squares (OLS) regression and zero-truncated negative binomial (ZTNB) regression models.
Findings
Both service quality perception and disconfirmation have a positive effect on patients' positive emotional intensity in textual reviews, and disease severity enhances these relationships of process quality. Moreover, there is an asymmetric U-shaped relationship among service quality perception, disconfirmation and reviewing effort. Patients who perceive low service quality have higher reviewing effort, while service quality disconfirmation has the opposite relationship. Specifically, patients' effort in writing textual reviews is lowest when perceived outcome quality is 3.5 (on a five-point scale), perceived process quality is 4 or outcome quality and process quality disconfirmations are −1.
Originality/value
This study is the first to examine patients' online review behavior and its motivations and contributes to the literature on online reviews and service quality. In addition, the findings of this study have important management implications for service providers and OHC managers.
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Yuangao Chen, Meng Liu, Mingjing Chen, Lu Wang, Le Sun and Gang Xuan
The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities…
Abstract
Purpose
The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities (OHCs).
Design/methodology/approach
This study utilized an empirical model based on the elaboration likelihood model and examined the effect of information, regarding service quality (the central route) and service price (the peripheral route), using online health consultation data from one of the largest OHCs in China.
Findings
The logistic regression results indicated that both physician- and patient-generated information can influence the patients' service choices; service price signals will lead patients to cheaper options. However, individual motivations, disease risk and consulting experience change a patients' information processing regarding central and peripheral cues.
Originality/value
Previous researchers have investigated the mechanism of patient behavior in OHCs; however, the researchers have not focused on the patients' choices regarding the multiple health services provided in OHCs. The findings of this study have theoretical and practical implications for future researchers, OHC designers and physicians.
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Yang Song, Hong Wu, Jingdong Ma and Naiji Lu
As a standard source of capital for entrepreneurs, crowdfunding has recently gained wide attention in business and academia. With scientific endorsement, some research is…
Abstract
Purpose
As a standard source of capital for entrepreneurs, crowdfunding has recently gained wide attention in business and academia. With scientific endorsement, some research is conducted to explore the antecedents of online crowdfunding success. The factors that can influence the backers’ investment which is the key to success are information from prior backers’ and creators’ behaviors. Based on the signaling theory, the purpose of this paper is to systematically investigate the dynamic influences and interaction effects of signals with different forms (action-based or opinion-based signals) and sources (creator-sourced or backer-sourced signals) on backers’ investment behaviors over a project-funding cycle.
Design/methodology/approach
A panel data set of 3,010 projects with 640,625 transaction records from April 28, 2013 to September 31, 2017 is collected from a famous online crowdfunding platform – Zhongchou.cn in China and the negative binomial panel data model with fixed effect is used to obtain our empirical results.
Findings
The findings demonstrate that the work of different signals is significantly effective at the early stage of a project and decreases with time. Furthermore, our results show that there are both synergistic effect and substitution effect among different signals. Specifically, the direction of interaction effect depends on the forms of signals and the backers’ sensitivity toward that signal, and the interaction effects are also dynamic.
Originality/value
This paper has shed light on the roles of different signal types and their interactions in influencing funding behavior over a project-funding cycle, enriched the literature on crowdfunding and provided both theoretical and practical implications.
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Qin Chen, Jiahua Jin, Tingting Zhang and Xiangbin Yan
The success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are…
Abstract
Purpose
The success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are poorly understood. In this study, an empirical model was proposed from a social influence perspective to explore the effects of online social influence and offline social influence on physician churn, as well as the moderating effect of their online returns.
Design/methodology/approach
The empirical data of 4,145 physicians from a Chinese OHC, and probit regression models were employed to verify the proposed theoretical model.
Findings
The results suggest that physicians' churn intention is influenced by online and offline social influences, and the offline social influence is more powerful. Physicians' reputational and economic returns could weaken the effect of online social influence on churn intention. However, physicians' economic returns could strengthen the effect of offline social influence on churn intention.
Originality/value
This research study is the first attempt to explore physician churn and divides the social influence into online and offline social influences according to the source of social relationship. The findings contribute to the literature on e-Health, user churn and social influence and provide management implications for OHC managers.
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The advent of online live streaming platforms (OLSPs) and online health communities (OHCs) has expedited the integration of traditional medical services with Internet new media…
Abstract
Purpose
The advent of online live streaming platforms (OLSPs) and online health communities (OHCs) has expedited the integration of traditional medical services with Internet new media technology. Since the practice of physicians conducting live streaming is a relatively new phenomenon, the potential cross-platform effects of such physicians’ live streaming have not received adequate attention.
Design/methodology/approach
This study collected data from 616 physicians specializing in cardiology, obstetrics and gynecology and neurology between April and November 2022 on Live.Baidu.com and WeDoctor.com. It constructed a panel data set comprising a total of 4,928 observations over an 8-month period and validated the model using empirical analysis with the fixed-effects method.
Findings
We find evidence of cross-platform influence in online healthcare. Physicians’ live streaming behavior (whether live or not and the heat of their streams) on OLSPs positively impacts both their consultation and reputation on OHCs. Additionally, physicians’ ability positively moderates the relationships between live streaming heat and their performance (in terms of consultation volume and reputation) on OHCs. However, ability does not moderate the relationship between physicians’ live streaming status (live or not) and their performance (in terms of consultation and reputation) on OHCs. Furthermore, the attractive appearance of the physicians also significantly moderates the impact in a positive way.
Originality/value
This is one of the pioneering studies on physicians’ live streaming. The study offers vital guidance for physicians and patients utilizing dual platforms and holds significant reference value for platform operators (such as OLSPs and OHCs) aiming to optimize platform operations and for the government in policy formulation and industry regulation.
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Dinghao Xi, Wei Xu, Liumin Tang and Bingning Han
The boom in live streaming has intensified competition among streamers for viewers' gifts, which makes it meaningful to study the factors that affect the viewers’ gifting…
Abstract
Purpose
The boom in live streaming has intensified competition among streamers for viewers' gifts, which makes it meaningful to study the factors that affect the viewers’ gifting behavior. Given the emotional attachment between streamers and viewers, the authors set out to elucidate a new driver on viewer gifting: expressions of the streamer. This research aims to explore the impact of streamer emotions on the viewer gifting behaviors, including free and paid gifting. The loyalty level of the viewers is also introduced as a moderating factor to investigate the heterogeneous effect of streamer emotions on gifting behavior.
Design/methodology/approach
The dataset the authors collected consists of two parts, including 1809.69 h of live streaming videos and 358,002 gift giving records. Combined with deep learning methods and regression analysis, the authors performed empirical tests on the 81,110 valid samples. Several robustness checks were also conducted to ensure the reliability of main results.
Findings
The empirical results show that streamer emotions do have effects on viewers' free and paid gifting behavior. The authors’ findings show that positive streamer expressions, such as happiness and surprise, have a positive influence on viewer gifting behavior. However, some negative expressions, like sadness, can also have a positive impact. Moreover, the authors discovered that higher viewer loyalty amplifies the positive effect of streamer emotions and reduces the negative effect.
Originality/value
This research contributes to the study about streamer emotions and viewers' consumption behavior, which extends the application of emotion as social information model (EASI model) in the live streaming setting. The authors carefully divide the gifting behavior into two types: free and paid, and study how these two types are affected by streamer emotions. Besides, these effects are analyzed within viewers of different loyalty levels. This study offers practical emotion management strategies for streamers and live streaming platforms to gain more economic profits.