nyuuzyou/wikis huggingface dataset:
Team resilience theory

== Team Resilience Theory ==
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== Acronym ==
TRT, TRM 
== Alternate name(s)==
Team Resilience Model 
== Main dependent construct(s)/factor(s)==
Team Resilience 
== Main independent construct(s)/factor(s) ==
Trust & Solidarity
Focus on results
Commitment
Management & Accountability
Embrace conflicts
Work conditions
Skills & Behaviors
== Concise description of theory ==
Organizations need well-prepared teams to perform information systems projects with efficiency and effectiveness.
In such socio-technical systems, project teams’ capability to face and surpass difficulties plays a critical role in organizational reliability.
Hence the relevance of project team resilience, defined as the team’s ability to deal with problems, overcome obstacles, and quickly recover from adverse and possibly harmful situations without collapsing.
The Team Resilience Model explains team resilience in the context of information systems projects, through seven constructs: Trust & Solidarity, Focus on results, Commitment, Management & Accountability, Embrace conflicts, Work conditions, and Skills & Behaviours.
== Diagram/schematic of theory ==
== Originating author(s) ==
J. Varajão, G. Fernandes and A. Amaral (2021)
== Seminal articles ==
Varajão, J., Fernandes, G, & Amaral, A. (2021). Team Resilience Model: An Empirical Examination of Information Systems Projects. Reliability Engineering and System Safety, 206(2021), 107303.
== Originating area ==
Information Systems
== Level of analysis ==
Project team
== IS articles that use the theory ==
Varajão, J., Fernandes, G, & Amaral, A. (2021). Team Resilience Model: An Empirical Examination of Information Systems Projects. Reliability Engineering and System Safety, 206(2021), 107303.
== Links from this theory to other theories ==
NA
== External links ==
Team Resilience Model
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Theories yet to be summarized

All contributions to this wiki are encouraged and welcome!
Guidelines for Contributors: 
#All changes or additions to the Theories Used in IS Research wiki require registration. You can register by clicking the 'Log in / create account' icon at the top, right corner of the page.
#New summaries should be complete.
#Corrections or additions to existing theory summaries are welcomed.
#References should be in the standard MISQ reference format: (http://www.misq.org/roadmap/standards.html).
#All contributors agree that any information submitted to this wiki is presented publicly under a GNU Free Documentation License. 
#Copyright material should not be posted to the site without permission of the copyright holder.
Please help us to make this resourse as valuable as possible!
Scott Schneberger and Mike Wade.
Theories Used in IS Research wiki site editors
 
Theories still to be summarized: 
 
*Activity theory 
*Change theory 
*Communication theory 
*Communities of practice / Situated learning 
*Critical realism 
*Critical systems thinking 
*Conflict theory 
*Decision theory 
*Design Theory 
*Ecology theory 
*Ethnomethodology 
*Expectancy theory 
*Information integration theory 
*Markus' IT power relationship 
*Organizational culture 
*Organizational learning
*Phenomenology
*Portfolio theory
*Pragmatic systems thinking
*Prospect theory 
*Resistance, theories of 
*Sensemaking, theory of 
*Social learning theory
Theory of Network Externalities

== Theory of Network Externalities ==
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== Acronym ==
N/A
== Alternate name(s)==
Theory of Network Effects
== Main dependent construct(s)/factor(s)==
N/A
== Main independent construct(s)/factor(s) ==
== Concise description of theory ==
Network externality theory has been defined as a change in the benefit, or surplus, that an agent derives from a good when the number of other agents consuming the same kind of good changes. Network externalities are common in technology products, usually involving communication and collaboration across multiple users, and network effects form an essential part of diffusion process. A technology/product is characterized by network externality when an increase in the number of users of the technology/product increases the value to other users, even after controlling for other characteristics of technology/product. This theory has been extensively used in IS to enhance understanding of technology adoption across myriad applications like gaming, social network services, blockchain, electronic commerce, payment systems, RFID and communication technology to name a few.
== Diagram/schematic of theory ==
N/A
== Originating author(s) ==
Michael L. Katz, Carl Shapiro, Joseph Farrell, and Garth Saloner- Economics
== Seminal articles == 
== Originating area ==
Economics
== Level of analysis ==
Individual
== IS articles that use the theory ==
1.    BELO, R.; FERREIRA, P. Free-Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network. MIS Quarterly, [s. l.], v. 46, n. 1, p. 401–429, 2022. DOI 10.25300/MISQ/2022/14712. 
2.    SCHILLING, M. A. Technology Success and Failure in Winner-Take-All Markets: The Impact of Learning Orientation, Timing, and Network Externalities. The Academy of Management Journal, [s. l.], v. 45, n. 2, p. 387–398, 2002.
3.    TUCKER, C. Identifying Formal and Informal Influence in Technology Adoption with Network Externalities. Management Science, [s. l.], v. 54, n. 12, p. 2024–2038, 2008. DOI 10.1287/mnsc.1080.0897
4.    LIN, C.-P.; BHATTACHERJEE, A. Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities. International Journal of Electronic Commerce, [s. l.], v. 13, n. 1, p. 85–108, 2008. DOI 10.2753/JEC1086-4415130103.
5.    VISWANATHAN, S. Competing across Technology-Differentiated Channels: The Impact of Network Externalities and Switching Costs. Management Science, [s. l.], v. 51, n. 3, p. 483–496, 2005. DOI 10.1287/mnsc.1040.0338.
6.    YANG, W. et al. Knowledge innovation network externalities in the Guangdong–Hong Kong–Macao Greater Bay Area: borrowing size or agglomeration shadow? Technology Analysis & Strategic Management, [s. l.], v. 34, n. 9, p. 1020–1037, 2022. DOI 10.1080/09537325.2021.1940922.
== Links from this theory to other theories ==
== External links == 
== Original Contributor(s) ==
Shalini Upadhyay
Please feel free to make modifications to this site. In order to do so, you must register.
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Theory of collective action

==Theory of Interpersonal Behavior==
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==Acronym==
TCA (?)
==Alternate name(s)==
==Main dependent construct(s)/factor(s)==
==Main independent construct(s)/factor(s)==
==Concise description of theory==
The economic theory of collective action is concerned with the provision of public goods (and other collective consumption) through the collaboration of two or more individuals, and the impact of externalities on group behavior. It is more commonly referred to as Public Choice. Mancur Olson's 1965 book The Logic of Collective Action: Public Goods and the Theory of Groups, is an important early analysis of the problems of public good cost.
Source: http://en.wikipedia.org/wiki/Collective_action
==Diagram/schematic of theory==
N/A
==Originating author(s)==
Mancur Olson
==Seminal articles==
Hardin, Russell (1982). Collective Action. Johns Hopkins University Press. Baltimore.
Olson, Mancur (1965). The Logic of Collective Action. Harvard University Press
==Originating area==
Sociology, Economics, Political Science
==Level of analysis==
==IS articles that use the theory==
Wasko, M. M., Faraj, S., & Teigland, R. (2004). Collective action and knowledge contribution in electronic networks of practice. Journal of the Association for Information Systems, 5(11), 2.
Zhao, K., Xia, M., & Shaw, M. J. (2011). What motivates firms to contribute to consortium-based e-business standardization?. Journal of Management Information Systems, 28(2), 305-334.
==Links from this theory to other theories==
==External links==
http://en.wikipedia.org/wiki/Collective_action, Wikipedia entry on TCA
==Original Contributor(s)==
Please feel free to make modifications to this site. In order to do so, you must register.
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Top 10 IS Theories 2014

The information systems field’s focus on theory is well established, and the [http:// IS Theory Wiki] serves the need for quick review and understanding. The popularity of theories on the site may serve as an early indicator of the future prevalence of these theories, or at least the share of researcher attention during day-to-day research activities. While some theories, such as 2014’s most popular theory—Institutional Theory—likely benefits from visitors from other disciplines, some of the changes may reflect a move away from the individual level of analysis in IS.  In fact, none of the top five theories are at the individual level, although 2014’s strongest climber—Social Network Theory—certainly incorporates the individual perspective. Only two pure-play individual level theories breached the top 10—the Technology Acceptance Model and Diffusion of Innovations theory, and whereas the former maintained its 2013 spot, the latter lost several spots.
The top 10 theory pages visited for 2014 (with across-site percentages):Excludes traffic to http://is.theorizeit.org/wiki/Main_Page
# Institutional theory (9.4%)
# Social network theory (6.7%)
# Contingency theory (6.6%)
# Organizational culture theory (5.8%)
# Transaction cost economics (5.6%)
# DeLone and McLean IS success model (5.1%)
# Technology acceptance model (5.1%)
# Socio-technical theory (4.8%)
# Garbage can theory (4.0%)
# Diffusion of innovations theory (3.7%)
As expected, the same handful of theories played around the top between the two years. For example, we note that institutional theory was the top visited theory for both 2014 and 2013, and contingency theory, organizational culture theory, diffusions of innovations theory, the DeLone and McLean IS success model, and the diffusions of innovations theory all were within the top 10 both time periods. Social network theory experienced a significant jump from 14th to 2nd, and socio-technical theory jumped almost the same interval, going from 17th to 8th. Transaction cost economics and garbage can theory also felt modest boosts of 5 and 2 respectively. Six out of the 2013 top ten dropped a few intervals in 2014 (contingency theory, DeLone and McLean IS success model, diffusion of innovations theory, organizational learning theory, technology-organization-environment framework, and the theory of planned behavior).
The IS Theories Wiki is a resource for the whole field and requires constant updates to stay relevant. We are therefore looking for volunteers to update references and add new theories. Please contact Vipin for details.
Vipin Saini (vipinsaini@ccu.edu.tw)
Kai R. Larsen (kai.larsen@colorado.edu)
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Unified theory of acceptance and use of technology

== Unified theory of acceptance and use of technology ==
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== Acronym ==
UTAUT
== Alternate name(s)==
N/A
== Main dependent construct(s)/factor(s)==
Behavioral intention, Usage behavior
== Main independent construct(s)/factor(s) ==
Performance expectancy, Effort expectancy, Social influence, Facilitating conditions, Gender, Age, Experience, Voluntariness of use
== Concise description of theory ==
The UTAUT aims to explain user intentions to use an IS and subsequent usage behavior. The theory holds that four key constructs (performance expectancy, effort expectancy, social influence, and facilitating conditions) are direct determinants of usage intention and behaviour (Venkatesh et. al., 2003). Gender, age, experience, and voluntariness of use are posited to moderate the impact of the four key constructs on usage intention and behavior (Venkatesh et. al., 2003). The theory was developed through a review and consolidation of the constructs of eight models that earlier research had employed to explain IS usage behaviour (theory of reasoned action, technology acceptance model, motivational model, theory of planned behavior, a combined theory of planned behavior/technology acceptance model, model of PC utilization, innovation diffusion theory, and social cognitive theory). Subsequent validation of UTAUT in a longitudinal study found it to account for 70% of the variance in usage intention (Venkatesh et. al., 2003).
== Diagram/schematic of theory ==
Image:Utuat.JPG
Source: Venkatesh et al. (2003)
== Originating author(s) ==
Venkatesh et al. (2003)
== Seminal articles ==
Venkatesh,Viswanath;Morris,Michael G.;Davis,Gordon B.;Davis,Fred D., “User acceptance of information technology: Toward a unified view”, MIS Quarterly, 2003, 27, 3, 425-478.
== Originating area ==
Information Systems, Technology Adoption
== Level of analysis ==
Individual
== IS articles that use the theory ==
Garfield,Monica J., “Acceptance of Ubiquitous Computing", Information Systems Management, 2005, 22, 4, 24-31.
== Links from this theory to other theories ==
Technology acceptance model, Theory of planned behavior, Theory of reasoned action, Diffusion of innovations theory, Delone and McLean IS success model
== External links ==
http://sais.aisnet.org/sais2004/Anderson%20&%20Schwager.pdf#search='UTAUT', A paper presented by Anderson and Schwager at the 7th Annual Conference of the Southern Association for Information Systems on the application of UTAUT to the adoption of wireless LAN technology by SME's
== Original Contributor(s) ==
Brent Furneaux
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Usage control model

== Usage control model ==
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== Acronym ==
== Alternate name(s)==
== Main dependent construct(s)/factor(s)==
== Main independent construct(s)/factor(s) ==
== Concise description of theory ==
== Diagram/schematic of theory ==
== Originating author(s) ==
== Seminal articles ==
== Originating area ==
== Level of analysis ==
== IS articles that use the theory ==
== Links from this theory to other theories ==
== External links ==
== Original Contributor(s) ==
Please feel free to make modifications to this site. In order to do so, you must register.
 Return to Theories Used in IS Research
3 Church Carnival Flyer Templates Utilizing Microsoft Workplace

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Aeropuerto Internacional Diecisiete de Julio

Diecisiete de Julio International Airport (Spanish: Aeropuerto Internacional Diecisiete de Julio, literally July Seventeenth International Airport) is a civil international airport located in Costa Alta, Rayo Par. It is the sixth busiest airport in the Caribbean and the busiest in Rayo Par.
==History==
Rayo Airport was originally a small airfield, built in the 1950s.
In the 1990s, Rayo International Airport was renamed Diecisiete de Julio International Airport. July 17th is Rayo Par's independence day, when the US sent a small force to invade the island after the Spanish military fled, and Rayan natives defended against the US troops.
==Terminals==
Diecisiete de Julio International Airport originally had two terminals, the old terminal and the new terminal. The old terminal was demolished and the new terminal was expanded.
The current terminal has ten gates. Gate 8 serves up to three commuter aircraft. Gate 9 can handle either two narrowbody aircraft or one widebody aircraft.
There are plans for a second terminal in the northern area of the airport, surrounding the airport access road. The Airport Authority has no plans to actually build it, but it says it is monitoring the passenger numbers and may eventually decide to do so.
==Airlines and Destinations==
===Passenger===
===Historical Destinations===
===Cargo===
===Top destinations===
 Busiest routes from RAY (2017) 
Rank	City 	Passengers	Carriers
1 	New York–JFK, New York, USA 	373,636 	American, Delta, JetBlue
2 	Orlando, Florida, USA 	366,212 	JetBlue, Southwest, Spirit
3 	Fort Lauderdale, Florida, USA 	309,283 	JetBlue, Southwest, Spirit
4 	Boston, Massachusetts, USA 	221,343 	Delta, JetBlue
5 	Miami, Florida, USA 	196,574 	American
6 	Toronto, Ontario, Canada 	156,576 	Air Canada, WestJet
7 	Washington-Dulles, DC, USA 	143,962 	United
8 	Philadelphia, Pennsylvania, USA	140,729 	American
9 	Panama City, Panama 	115,106 	Copa
10 	San Juan, Puerto Rico 	100,817 	JetBlue
 Largest airlines at RAY (2017)
Rank	Airline 	Share
1 	American Airlines 	17.51%
2 	JetBlue Airways 	17.31%
3 	Southwest Airlines	12.71%
4 	Delta Air Lines 	12.33%
5 	United Airlines 	8.8%
6 	Spirit Airlines 	6.65%
7 	Air Canada 	4.9%
8 	Copa Airlines 	3.37%
9 	Avianca 	1.8%
10 	Iberia 	1.69%
Category:Airports in the Caribbean
Aeropuerto de Porte Sur

Porte Sur Airport, formerly Los Leones Airport (Spanish: Aeropuerto de Porte Sur, formerly Aeropuerto Los Leones) is a civil international airport located in the Los Leones barrio of Porte Sur, Rayo Par. It is a designated commercial airport in Rayo Par and the smallest of the three.
==Airlines and Destinations==
===Passenger===
===Cargo===
Category:Airports in the Caribbean
City Of Manchester Airport

www.cityofmanchesterairp.wixsite.com/-cma
City Of Manchester Airport is the second airport to serve the North West city of Manchester. Situated to the north of the city between Bolton and Bury it has a perfect catchment area to offer more flights and destinations to the people of Manchester and Northern England. In 2016 City Of Manchester only handled around 1000 less passengers than Manchester Airport itself and that number is expected to drop even more in 2017 with more holiday flights and long haul destinations announced. 
The airport is a major hub for Easyjet, Flybe, Monarch and Ryanair whilst it is a focus city for British Airways, Jet2, Thomas Cook, TUI and Virgin Atlantic. City Of Manchester Airport has 2 Terminals which are then split up into 2 separate piers. T1 A +B and T2 A+B.
== History ==
On the 21st August 1991, the city of Manchester celebrated the opening of its new regional airport Manchester-Bury airport (As what it was first called). The first airline to use the airport was the 3x daily flight to London-Heathrow with British Airways and their 737s along with British Airways to Isle of Man using their ATP aircraft. After a few months Ryanair started 3x daily flights to Dublin which now meant that the airport was served by 2 airlines as it looked to grow as a regional airport.
After a year of slow growth, in the autumn of 1992, British Midland started services to London-Heathrow and Belfast which brought competition to the British Airways route that was extremely popular and had been moved to 4x flights a day. 
2 years later saw the first charter airline to fly from CMA on holiday routes to mainland Spain and France. 
In the new millennium the airport changed its name from Manchester-Bury to City of Manchester Airport which it is now know as and famously all over the world. With increasing number of traffic used by business travelers British Airways announced flights to Munich, Berlin, Edinburgh and Glasgow. Ryanair also started flights to Shannon.
== Airline Destinations ==
Passenger
Cargo
Limited cargo facilities at City Of Manchester only allow the airport to mainly handle regional cargo traffic.
Category:Airports in Europe