Robotics at workplace: An integrated Twitter analytics – SEM based approach for behavioral intention to accept

2020 | International Journal of Information Management | Citations: 0

Authors: Sinha, Neena; Singh, Pragati; Gupta, Manali; Singh, Pratibha

Abstract: Robotics application has provided a fruitful combination for hybrid industry 4.0 ... Expand

Abstract: Robotics application has provided a fruitful combination for hybrid industry 4.0 teams wherein robotic systems are progressing their way into spaces shared with human workers. The advent of artificial intelligence has also instilled the feeling of distress and ambiguity among employees regarding their future. Such confusion has triggered a plethora of deliberations surrounding the possible receptivity and hostility towards these modern technologies in the digital era where people are articulating their opinions and experiences through social media communication. This study explores the antecedents of employees’ intention to accept robotics at workplace using two-step analyses: Twitter Analysis and Survey-based analysis. Around 121,750 tweets from 43,000 Twitter handles were evaluated in the form of descriptive analysis, geospatial analysis, network analysis and sentiment analysis. Thereafter, the conceptual model has been formulated and validated based on the extracted themes (anthropomorphism, technophobia and behavioral intention to accept robotics at workplace) by in­ cluding 864 responses from an online survey conducted in India. The findings corroborated that anthro­ pomorphism and technophobia significantly influence behavioral intention, and technophobia acts as a sig­ nificant competitive mediator. Collapse

Topics: robotic Twitter behavioral intention technophobia social media

Methods: survey network analysis spatial analysis sentiment analysis machine learning

Theories: unified theory of acceptance and use of technology technology acceptance model

Agglomeration among competitors: Evidence of heterogeneous peer entry effect in sharing economy

2019 | International Conference on Information Systems | Citations: 0

Authors: Ma, Sijia; Wan, Fei; Ren, Fei

Abstract: Business agglomeration is a striking feature in the sharing economy due to locat ... Expand

Abstract: Business agglomeration is a striking feature in the sharing economy due to location advantages, especially in home-sharing platforms. Listing agglomeration brings both agglomeration and localized competition effects, but it is still unclear which effect is stronger and how such effect varies with time and list heterogeneity. To answer these questions, we apply a natural experiment design to investigate the impact of peer listing entry as well as its heterogeneity using a panel dataset from a leading home-sharing platform in China. Results suggest that both agglomeration and localized competition effects exist. The impact of peer listing entry increases focal listing demand at the beginning, and the localized competitive effect dominates over time. Furthermore, listings with detailed descriptions and high reputation could keep their predominance in localized competition. Our research contributes to both agglomeration theory and sharing economy literature, and has substantial implications for listing operation and platform management. Collapse

Topics: sharing platform application programming interface geographic information system organizational productivity

Methods: longitudinal research natural experiment cluster analysis autocorrelation analysis regression analysis method

Spatial analysis and data mining techniques for identifying risk factors of Out-of-Hospital Cardiac Arrest

2017 | International Journal of Information Management | Citations: 0

Authors: Kao, Jui-Hung; Chan, Ta-Chien; Lai, Feipei; Lin, Bo-Cheng; Sun, Wei-Zen; Chang, Kuan-Wu; Leu, Fang-Yie; Lin, Jeng-Wei

Abstract: Objectives: In this study, we first used spatial analysis techniques with a finer ... Expand

Abstract: Objectives: In this study, we first used spatial analysis techniques with a finer granularity to identify high risk areas of OHCA in a metropolis. We then used data mining techniques to elucidate the effects of patients’ characteristics, pre-hospital resuscitation treatments, and spatial factors on post-OHCA survivability. With this information, public health institutions can enhance the EMS by allocating properly first-aid resources at the right places to improve the survival rate of OHCA patients. Methods: We used New Taipei City, Taiwan as the scope of this study. Data of all registered OHCA cases in New Taipei City in 2011 were reviewed retrospectively. The dataset was combined with the National Doorplate Database to enhance the granularity of spatial analyses. Global and local spatial analyses based on Global Moran’s Index, Local Moran’s Index, and Getis-Ord Gi* statistic were performed to cluster high risk districts for OHCA in New Taipei City. Statistical methods such as Chi-square test, logistic regression, and decision tree were then adopted to analyze factors influencing 2-h survivability after OHCA. Results: Significant spatial clustering of OHCA events was found (p < 0.05) in the western side of New Taipei City. We found that the 2-h survival rate after OHCA was significantly correlated (p < 0.05) with type of OHCA, EMT-P (Emergency Medical Technicians-Paramedic) dispatch, intubation, drug administration, onsite ROSC (Return of Spontaneous Circulation), AED (Automated External Defibrillator) usage, bystander witnessing, AED initial cardiac rhythm, cardiac rhythm recovery before admission, and past histories of diabetes and renal disease. Conclusions: Based on the finding of this study, several important factors of OHCA can be improved to enhance the quality of the EMS service. With the spatial analysis of OHCA hotspots, public health institutions can manage the first-aid resources more efficiently and make EMS policies more effectively. As a result, the survival rate of OHCA patients can be improved. Collapse

Topics: database system

Methods: spatial analysis decision tree classification descriptive statistic cluster analysis autocorrelation analysis

Designing utilization-based spatial healthcare accessibility decision support systems: A case of a regional health plan

2017 | Decision Support Systems | Citations: 0

Authors: Li, Yan; Vo, Au; Randhawa, Manjit; Fick, Genia

Abstract: In the U.S., myriad healthcare reforms have begun to show some positive effects ... Expand

Abstract: In the U.S., myriad healthcare reforms have begun to show some positive effects on enabling “potential access”. One facet of healthcare access, “having access”, which is the availability and accessibility of health services for the surrounding populations, has not been adequately addressed. Research regarding “having access” is presently championed by a family of methods called Floating Catchment Area (FCA). However, existing scholarship is limited in integrating non-spatial factors within the FCA methods. In this research, we propose a novel utilization-based framework as the first attempt to adopt the Behavioral Model of Health Services Use as a theoretical lens to integrate non-spatial factors in spatial healthcare accessibility research. The framework employs a unique approach to derive categorical and factor weights for different population subgroup's healthcare needs using predictive analytics. The proposed framework is evaluated using a case study of a regional health plan. A Spatial Decision Support System (SDSS) instantiates the framework and enables decision makers to explore physician shortage areas. The SDSS validates the practicality of the proposed utilization-based framework and subsequently allows other FCA methods to be implemented in real-world applications. Collapse

Topics: JavaScript user interface usability systems development knowledge base

Methods: computational algorithm machine learning case study design artifact decision tree classification

A Tutorial on Geographic Information Systems: A ten-year update

2016 | Communications of the Association for Information Systems | Citations: 0

Authors: Farkas, Daniel; Hilton, Brian; Pick, James; Ramakrishna, Hindupur; Sarkar, Avijit; Shin, Namchul

Abstract: This tutorial provides a foundation on geographic information systems (GIS) as t ... Expand

Abstract: This tutorial provides a foundation on geographic information systems (GIS) as they relate to and are part of the IS body of knowledge. The tutorial serves as a ten-year update on an earlier CAIS tutorial (Pick, 2004). During the decade, GIS has expanded with wider and deeper range of applications in government and industry, widespread consumer use, and an emerging importance in business schools and for IS. In this paper, we provide background information on the key ideas and concepts of GIS, spatial analysis, and latest trends and on the status and opportunities for incorporating GIS, spatial analysis, and locational decision making into IS research and in teaching in business and IS curricula. Collapse

Topics: geographic information system decision support system marketing management smart device communication service infrastructure

Methods: spatial analysis literature sample literature study longitudinal research autocorrelation analysis

Data Analysis for Healthcare: A Case Study in Blood Donation Center Analysis

2010 | Americas Conference on Information Systems | Citations: 0

Authors: Chau, Michael; Lee, Cheuk-Kwong; Cheng, Eddie; Chan, Chi Wai

Abstract: With increasing emphasis on using data analysis in decision support in healthcar ... Expand

Abstract: With increasing emphasis on using data analysis in decision support in healthcare organizations, we describe an example in collecting and analyzing data for a health organization. In particular, we describe the process in identifying the best location for Hong Kong Red Cross Blood Transfusion Service to establish a new blood donation center based on past donation data. Our analysis is divided into two parts. The first part focuses on data analysis which studies the context of data itself. We have identified the relationship among donor’s age, gender, blood type and frequency of donation, the relationship between donation frequencies and distance from the donation center, the characteristic of different donation center, and the trend of blood donation. The second part focuses on new center analysis which applies the findings derived from the first part in identifying the best location for establishing a new blood donation center. Collapse

Topics: decision support global navigation satellite system Google+

Methods: case study spatial analysis literature study

The role of data warehousing in bioterrorism surveillance

2007 | Decision Support Systems | Citations: 8

Authors: Berndt, Donald J.; Fisher, John W.; Craighead, Jamie Griffiths; Hevner, Alan R.; Luther, Stephen; Studnicki, James

Abstract: The development of an effective bioterrorism surveillance system requires effect ... Expand

Abstract: The development of an effective bioterrorism surveillance system requires effective solutions to several critical challenges. The system must support multidimensional historical data, provide real-time surveillance of sensor data, have the capability for pattern recognition to quickly identify abnormal situations, and provide an analytic environment that accelerates investigations by epidemiologists and other responders. The use of real-time or flash data warehousing provides the essential ability to compare unfolding health events with historical patterns of key surveillance indicators. To explore the role of data warehousing in surveillance systems, we study naturally occurring incidents, Florida wildfires from 1996 through 2001, as reasonable facsimiles of bioterrorism attacks. Hospital admissions data on respiratory illnesses during that period are analyzed to uncover patterns that might resemble an airborne biochemical attack. A principal contribution of this research is the adroit use of online analytic processing (OLAP) techniques, along with spatial and statistical analyses, to study the adverse effects of this natural phenomenon. These techniques will provide important capabilities for epidemiologist-in-the-loop surveillance systems, enabling the rapid exploration of unusual situations and guidance for follow-up investigations. Collapse

Topics: data warehouse online analytical processing enterprise architecture decision making analytical information system

Methods: longitudinal research spatial analysis design artifact machine learning exploratory data analysis

Inta-Censal Geographis Information Systems: Application to Binational Border Cities

2000 | European Conference On Information Systems | Citations: 0

Authors: Pick, James; Hettrick, James; Viswanathan, Nanda; Ellsworth, Elliott

Abstract: This paper presents a new design for a census-based binational geographic inform ... Expand

Abstract: This paper presents a new design for a census-based binational geographic information system. GIS has had limited application intra-censally i.e. between nations. The reasons are the formidable obstacles of standardization of attributes, matching of meaning of attributes, consistency of data-bases, and consistency of boundary files. Many problems in public administration can be solved by using GIS systems that encompass data from several nations. This challenge is even greater for GIS applications involving small area data. The present paper presents a general framework for dual-nation GIS's and then offers an example of its application to the United States and Mexico. The example is a successful GIS constructed for the twin cities of the U.S.-Mexico border. The results of the paper can apply to combining European censuses, many of which lack standardized formats or to combining censuses of European and neighbor nations, where the differences are greater. The paper discusses the results and makes suggestions for improvements in dual-censal GIS applications in public administration. Collapse

Topics: geographic information system

Methods: computational algorithm cluster analysis spatial analysis database modeling archival research

A menu-driven environment for automated urban and regional analysis: a GIS application for educational purposes

1994 | European Journal of Information Systems | Citations: 0

Authors: Karnavou, E.; Mikelis, D.

Abstract: Geographical information systems (GIS) constitute an important development offer ... Expand

Abstract: Geographical information systems (GIS) constitute an important development offering wide application potential in geography, urban and regional planning and associated disciplines. Current debates entail two kinds of criticism; the first involves GIS themselves and the fact that they are often cumbersome and difficult to use; the second involves the ‘poverty‘ of some GIS applications. The result is a worldwide endeavour to produce answers to both questions. The main objective of the system proposed here, known as URAP (urban and regional analysis for planning), is to make a contribution to these goals, by upgrading conventional GIS capabilities, while simplifying the means by which results from advanced statistical analysis are obtained and subsequently plotted. It entails a menu-driven environment and involves the dynamic formation of customised databases to meet the geographical, methodological and other choices made by the user. While the arguments in the paper involve an emphasis on education, the system is also suitable for supporting public policy making. Collapse

Topics: decision support system geographic information system armed conflict decision making database system

Methods: cluster analysis hierarchical clustering case study spatial analysis