Search results

The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities.

Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis.

Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency.

First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances.

The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers.

The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies.

The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.

The aim of this study is to provide a theoretical extension to the private‐collective model of information sharing along with an empirical test with users of a social bookmarking website.

The paper includes a survey of 112 users of an actual bookmarking site recruited through an online research panel firm. The survey consisted of scales adapted from the literature as well as scales developed by the authors.

The results indicate that contributions to a social bookmarking site are a combination of intentional and unintentional contributions. A significant predictor of intentional public contributions of bookmarks is an egoistic motivation to see one as competent by contributing valuable information. However, there is also a significant but negative relationship between altruism and public contribution whereby users concerned with the needs of others limit their public contributions.

The sample consists of users of a particular social bookmarking site (Yahoo!'s MyWeb). Therefore, the results may not be generalizable to other social bookmarking websites, different types of social networks, or other contexts lacking the public/private option for contributions. Second, since the data comes from a cross‐sectional survey, as opposed to a longitudinal study, the causal relations posited in the model and substantiated with the statistical analyses can only be inferred based on the authors’ theoretical development. Third, although the size of the sample (112 respondents) is appropriate for PLS analysis it may have been insufficient to detect other significant relationships.

Administrators of social bookmarking sites should incorporate incentive and feedback mechanisms to inform contributors whether they contributions have been used (for example, with times viewed) and/or deemed useful (with numeric or qualitative ratings).

The results suggest that both selfish motivations associated with the need to feel competent (egoism), as well as selfless concerns for the needs of other users (altruism) drive intentional contributions to the public repository in social bookmarking systems. These two counterbalancing forces indicate that a mix of egoism and altruism is crucial for the long‐term sustainability of social web sites based on information sharing.

This study provides theoretical explanations and empirical evidence of egoism and altruism as significant explanations for cooperation in private‐collective models, such as the ones represented by social bookmarking systems.

This article presents a theoretical and empirical discussion of the way in which computer technologies (the internet) influence the production of sexuality, sexual fantasies, and specific sexual behaviors. This discussion is based on the case study of an Israeli website for sexual encounters, which its users say has brought out (or enabled) a specific sexuality that would not have emerged were it not for the new technology. This article focuses on a particular population from among the sites users: married men who surf the site to find men with whom to have one-off sexual encounters, and who report a positive experience of “life in the closet.” A total of 34 men were interviewed, 6 face-to-face and 28 in online interviews. The findings include three main accounts: (1) most of the interviewees said that the new technology (the website) enabled them to invent a new existential category, that of “married straight men who sometimes have sexual encounters with other men.” This category is seen as enabling a new sexuality, or a sexuality that would not have been enacted were it not for the internet; (2) the interviewees spoke of how “life in the closet,” and in particular entering and exiting it (which was called a “zigzag sexuality” or the “revolving doors of the closet”), creates an experience of a vital sexuality that fits in with their marriage to a woman and their life as a “straight” man; (3) many interviewees explained how the technology enabled them to keep their sexuality secret, where the secrecy itself was said to create a unique sexual desire. The discussion section shows how the new technology enables individuals to invent a new sexuality, to enact unique sexual fantasies, and to maintain an alternative self, or alternative components of their concept of self.

Over the past decade, the rapid evolution of social media has impacted the field of human resource management in numerous ways. In response, scholars and practitioners have sought to begin an investigation of the myriad of ways that social media impacts organizations. To date, research evidence on a range of HR-related topics are just beginning to emerge, but are scattered across a range of diverse literatures. The principal aim of this chapter is to review the current literature on the study of social media in HRM and to integrate these disparate emerging literatures. During our review, we discuss the existent research, describe the theoretical foundations of such work, and summarize key research findings and themes into a coherent social media framework relevant to HRM. Finally, we offer recommendations for future work that can enhance knowledge of social media’s impact in organizations.

The purpose of this study is to investigate whether the visual presence of a virtual agent on a retail Web site reveals positive outcomes for older users with respect to enhancing perceived interactivity, social support, trust and patronage intentions and alleviating user anxiety.

A between-subjects laboratory experiment was conducted with 50 older users, which included an interaction experience of 30 minutes followed by a paper-based questionnaire. The visual presence of the agent was manipulated in a mock retail Web site through the presence or absence of a virtual agent image, while maintaining the same agent functionality.

The contrasts of senior users’ shopping experiences between two agent-mediated Web sites (with or without agent image) support the direct “persona” effects of a virtual agent’s visual presence on enhancing perceived interactivity, social support, trust and patronage intentions in the retail Web site, while alleviating user anxiety. Further, anxiety alleviation is fully explained by increased perceptions of interactivity. Perceived social support fully mediates trust in the benevolence of the online retailer. Trust ability emerges as a salient factor mediating the relationship between agent persona and patronage intentions.

This work is the first to identify the value of human visual embodiment for older users’ online shopping experiences, which has implications for other low-experience/expertise users of a medium.

A major transformation in retail logistics over the few years is backed by enormous improvements in internet technologies. It is now easy for e-retailers to entertain delivery progression, or consumers can share use-experience with future customers and thereby reducing information asymmetry. The purpose of this paper is to investigate the effect of different signals on consumer behavior in the presence of information asymmetry, in the context of online group buying (OGB) markets in China.

Based on the lemon market theory (LMT) and signaling theory, the study develops a research model of the OGB consumers’ context in China, which is validated using data from an online survey. A total of 528 responses are used for data analysis applying structural equation modeling technique.

The findings of the study show that perceived vendor quality (PVQ) and perceived product quality (PPQ) have significantly positive effects on intention to purchase from OGB websites. PVQ is associated with perceived reputation and perceived trustworthiness (PT) of vendor, and the determinants of PPQ are quality assurance information of products, and information about mer-chants. Further, PT has a mediating effect, while asymmetry of information has a moderating effect.

The research model is valid as a generic OGB model that can be investigated in other contexts to understand the generalizability of the findings. Future research is needed to incorporate additional relevant factors (e.g. price, advertising activity/investments) that may help increase the acceptability of the model to a wide range of e-commerce contexts. Two of the control variables (gender and prior internet experience) were found to be significant; this could be further examined in future studies to determine the relative impact on each causal relationship.

Whereas prior studies in the domain of consumer service proposed different signaling mechanisms that were believed to eliminate information asymmetry from a market, the study sheds light on the effectiveness of the signals in the OGB context. This is a unique effort that applies and extends LMT and signaling theory in OGB context by theorizing the associated dimensions and their causal effects.

The paper aims to analyze the application areas of augmented reality (AR) in the construction industry to enhance its usage level. The objectives are to assess the level of awareness of hardware and software devices of AR, examine the application areas of AR and reveal lagging areas in the construction industry.

A survey of construction professionals engaged in the built environment was sent a well-structured questionnaire in the study area. The professionals involved are project managers, architects, engineers, builders and quantity surveyors. The sampling technique used in selecting those professionals was convenience sampling. Descriptive and inferential statistics were used in analyzing the retrieved data.

The five most applied areas of Augmented Realities are Visualization and simulation of construction works; Project documentation; Project planning, monitoring and modification. The other two areas include on-site real-time information retrieval and health and safety measures. The findings also revealed the difference in the opinions of professionals among the variables. The results showed that there is significant difference in the opinions of the professionals regarding the application areas except one, that is automated measurement. Automated measurement has the same converging opinions of all professionals engaged in the study.

The study gives deep insight into possible areas where AR can be used in construction. The awareness level of hardware and software devices of AR was revealed by showing that those devices are upcoming in their usage. The areas of application of AR in construction are in their nascent stage. When there is proper implementation of this technology it will improve management in construction, minimize health and safety issues, and enhance the efficiency of workers through visualization and simulation.

Social media commerce provides a convenient way for users to share information and interact with each other. Few studies, however, have examined the effect of marketing messages and consumer engagement behaviors on the economic performance of marketing. This study, therefore, explored the economic performance of social media in terms of marketing messages and consumer engagement.

Using ordinary least squares regression and data collected from Weibo and Maoyan, this study analyzed the effects among marketing messages, consumer engagement and movie ticket sales.

The results indicated that marketing messages on Weibo had a positive effect on box office revenues, while consumer engagement behavior (whether personal or interactive) did not affect box office revenues. The results suggested that marketing messages on social media have more salient effects for predicting economic performance than consumer engagement behaviors.

This study underscores the importance of social media in consumer purchasing behavior. The findings also extend the literature related to commerce and product message design on social media platforms.

Despite the construction industry's significant impact on high energy use and a growing carbon footprint, technologies like Green BIM help to optimize natural resources, reduce pollution, use sustainable space and work on human comfort and health. But the trend in a holistic approach is minimal. Thus, the paper aimed to systematically investigate Green BIM research and implementation trends using a mixed-method and also show the prospects of holistic Green BIM implementation.

First, we conducted a Scientometrics analysis on the topic using the Scopus database for the time interval of (2013–present). Secondly, the Qualitative Content Review method asserted the Scientometrics analysis result. Lastly, exploratory research was done on secondary data to compare the AEC industry trend for a comprehensive view.

The merged findings confirmed the partial implementation of Green BIM and of which 43% of research focused only on energy analysis. Despite the potential of BIM and the interrelationship among green building parameters, the result showed other aspects of green building and sustainable design parameters as green material selection, sustainable site, waste management and water-use efficiency not comprised.

The authors propose a new conceptual framework for integrating green building parameters, BIM tools and green building assessment tools in a life cycle of a project that adds into the sustainability of the Architectural, Engineering and Construction sector. The study would help to provoke researchers, software developers and practitioners for further innovative effort in holistic Green BIM implementation.

This paper aims to examine factors that influence repeat visits to non‐transactional web sites. Drawing on repurchase and continuance research, this study identifies four focal constructs: site commitment, satisfaction, social influences, and medium involvement, and clarifies the mediator versus moderator role of site commitment.

Actual visitors to five B2B and B2C non‐transactional web sites provide data participated in an online survey. The tests use the combined sample and then verify results for the individual sites. The test for mediation relies on structural path analysis; the test for moderation uses moderated regression analysis.

The four focal constructs influence web site revisitation, though in most settings, only site commitment has a direct effect. Findings support the mediator role of site commitment, though some sites exhibit only partial mediation. Results are consistent across B2C and B2B contexts. The relative impact of social influences and medium involvement is less certain, and their impact varies across individual sites.

Because this study uses non‐probability sampling to gather respondents, they may not represent all types of visitors to the sites. The non‐transactional sites are primarily information sites, which restricts the findings. Research that considers other types of non‐transactional sites, such as entertainment or global sites, could offer further insights, especially with regard to the impact of cultural differences.

This research clarifies the role of site commitment by testing for mediation and moderation within the one study.