Technology Addictions and Technostress: An Examination of the U.S. and China

In today's technology-centric world, people are becoming increasingly dependent on the Internet. The most common use of the Internet is through social media, which is used to communicate, share, collaborate, and connect. However, continued usage of a hedonic system can be linked with compulsion or addiction. Since problematic usage/behaviors can lead to negative outcomes, this study aims to determine differential effects of Internet and social media addictions on social media-related technostress. This is examined in two different cultures: The U.S. and China. The results support the association between the Internet and social media addictions with increases in social media-related technostress. Additionally, these effects are moderated by culture. Implications for research and practice are discussed along with future directions for this stream

Measurement System Analysis and System Thinking in Six Sigma: How They Relate and How to Use Them

This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication

A Systematic Literature Review on IT Outsourcing Decision and Future Research Directions

During the recent decades, some academic research on the subject of information technology outsourcing (ITO) decision has appeared in different outlets, which may impede the use of such resources and as a result, repetition of research by various researchers is very likely. The purpose of this paper is then to conduct a systematic literature review (SLR) pertaining to research on ITO decision. Then, this review intends to 1) classify ITO decision literature, 2) provide a list of factors affecting ITO decision, and 3) identify ITO strategies. To this end, 91 ITO articles published between 2000 and 2018 in 51 unique journals were reviewed. The results yielded three kinds of descriptive, relational, and comparative ITO decision studies. The determinants of ITO decisions are classified into technological, organizational, environmental and user adoption factors. Furthermore, the trend of studied ITO strategies in the reviewed literature is analyzed, and future sourcing varietals are proposed. Finally, some insights and future research directions are proposed based on the review results

Hadoop Paradigm for Satellite Environmental Big Data Processing

The important growth of industrial, transport, and agriculture activities, has not led only to the air quality and climate changes issues, but also to the increase of the potential natural disasters. The emission of harmful gases, particularly: the Vertical Column Density (VCD) of CO, SO2 and NOx, is one of the major factors causing the aforementioned environmental problems. Our research aims to contribute finding solution to this hazardous phenomenon, by using remote sensing (RS) techniques to monitor air quality which may help decision makers. However, RS data is not easy to manage, because of their huge amount, high complexity, variety, and velocity, Thus, our manuscript explains the different aspects of the used satellite data. Furthermore, this article has proven that RS data could be regarded as big data. Accordingly, we have adopted the Hadoop big data architecture and explained how to process efficiently RS environmental data

A Sociotechnical Framework for Smart Urban Governance: Urban Technological Innovation and Urban Governance in the Realm of Smart Cities

Over the past decade, the dominant entrepreneurial form of urban governance has seriously hindered the transformation of cities by neglecting the role of urban contexts in shaping governance structures and outcomes. To promote alternatives, this article presents a sociotechnical framework for smart urban governance. This framework explicitly examines the impacts of urban contexts on the sociotechnical interaction between urban technological innovation and urban governance in the realm of smart cities. Three real-world cases were used to demonstrate how the framework can be applied in different urban contexts. The results show that the alleged smartness in smart urban governance by no means implies the simple acceptance, adoption, and use of technology; instead, it needs to be conditionate. For successful smart urban governance, urban technological innovation should be effectively attuned to the wider urban actors and preexisting urban challenges (i.e., the urban governance process), with a special focus on the urban context

How to Integrate Universities and Cities Through Local Spatial Developments: Case Study of Wuhan, China

As irreplaceable knowledge infrastructures, universities have been acknowledged to play the roles of fostering knowledge workers, supporting knowledge economies, and building knowledge cities. Through spatial developments, localized interactions can be built between cities and universities. There has been a global trend to design new knowledge precincts revolving around universities to make knowledge cities. This article focuses on how the local governments in Wuhan, known as the “Forest of Campus” in China, have proposed the vision of making a “Univercity,” building knowledge cities by integrating universities and cities through local spatial developments. To interpret the concept of the knowledge precinct namely “Univercity,” an analytical framework has been set up in the dimensions of fostering knowledge workers, supporting knowledge economies and building knowledge cities. Then, the spatial strategies of making a “Univercity” have been given accordingly, including enhancing the interaction between universities, knowledge businesses, and knowledge cities

An Unreliable Batch Arrival Retrial Queueing System With Bernoulli Vacation Schedule and Linear Repeated Attempts: Unreliable Retrial System With Bernoulli Schedule

This article deals with the steady-state behavior of an MX/G/1 retrial queue with the Bernoulli vacation schedule and unreliable server, under linear retrial policy. Breakdowns can occur randomly at any instant while the server is providing service to the customers. Further, the concept of Bernoulli admission mechanism is introduced. This model generalizes both the classical MX/G/1 retrial queue with unreliable server as well as the MX/G/1 retrial queue with the Bernoulli vacation model. The authors carry out an extensive analysis of this model. Namely, the embedded Markov chain, the stationary distribution of the number of units in the orbit, and the state of the server are studied. Some important performance measures and reliability indices of this model are obtained. Finally, numerical illustrations are provided and sensitivity analyses on some of the system parameters are conducted

Hotel Guests' Perceptions of Green Technology Applications, and Practices in the Hotel Industry

Although sustainability and technology are two major concerns in the lodging industry, sustainability applications and practices are quite new and in need of more research. This study was conducted to examine and understand hotel guests' perceptions of green technology applications and practices. Data were collected in 2018 from 210 respondents via an online survey. The Technology Acceptance Model was applied to examine how ease of use and usefulness of green technology applications and practices can influence guests' booking decisions. The results showed significant positive correlations between behavioral belief and usefulness and between usefulness and intention to use green technology applications and practices. However, behavioral belief and ease of use were not correlated, nor were ease of use and intention to adopt green technology. These results demonstrate that guests do believe in the important role of green technology in sustainability and they intend to book hotels that adopt this technology

An Integrated Structural Equation Model of eHealth Behavioral Intention

eHealth offers promising tools and services to manage and improve the quality of health as well as the potential to provide accessible health information all over the world. The relatively low adoption rates among eHealth users motivates us to develop an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention. The integrated model is empirically tested by using different structural equation modeling (SEM) methods, including partial least squares SEM (PLS-SEM), PLSc, and covariance-based SEM (CB-SEM). The model successfully explains the learning process and provides essential antecedents of eHealth behavioral intention. The findings support the interplay of social, cognitive, and personal factors that impact 18-30-year-old users' learning process related to eHealth behavioral intention. The results empirically show that these three types of SEM techniques provide consistent results with respect to path coefficients and coefficients of determination. The findings indicate that CB-SEM and PLS-SEM provide adverse consequences of interaction-term path coefficients

Towards a Better Understanding of Drone Forensics: A Case Study of Parrot AR Drone 2.0

Unmanned aerial vehicles (drones) have gained increased popularity as their innovative uses continue to expand across various fields. Despite their numerous beneficial uses, drones have unfortunately been misused, through many reported cases, to launch illegal and sometimes criminal activities that pose direct threats to individuals, organizations, public safety and national security. These threats have recently led law enforcement agencies and digital forensic investigators to pay special attention to the forensic aspects of drones. This important research topic, however, remains underexplored. This study aims to further explore drone forensics in terms of challenges, forensic investigation procedures and experimental results through a forensic investigation study performed on a Parrot AR drone 2.0. In this study, the authors present new insights on drone forensics in terms of forensic approaches, access to drone's digital containers and the retrieval of key information that can assist digital forensic investigators establish ownership, recuperate flight data and gain access to media files