SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Mixed-Method Approach to Exploring the Motives of Sport-Related Mobile Applications Among College Students
9 references·16 citing·46 second hop
A Mixed-Method Approach to Exploring the Motives of Sport-Related Mobile Applications Among College Students (2014)A Mixed-Method Approach to Exploring the …Adoption and Use of Computer-Based Voice Over Internet Protocol Phone Service: Toward an Integrated Model (2010)Adoption and Use of Computer-…Consumer Adoption of Mobile Internet Services: An Exploratory Study (2009)Consumer Adoption of Mobile I…An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness (2009)An Experimental Study of the …Motivation and Concerns for Online Sport Consumption (2007)Motivation and Concerns for O…Constructing grounded theory : a practical guide through qualitative analysis (2006)Constructing grounded theory …E‐shopping in a multiple channel environment (2002)E‐shopping in a multiple chan…Extending the TAM for a World-Wide-Web context (2001)Extending the TAM for a World…Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Determinants of Perceived Eas…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Belief, Attitude, Intention a…Examining Users’ Acceptance Intention of Health Applications Based on the Technology Acceptance Model (2025)Examining Users’ Acceptance I…Identity Driven Information Ecosystems (2024)Identity Driven Information E…An Empirical Research: Incorporation of User Innovativeness into TAM and UTAUT in Adopting a Golf App (2023)An Empirical Research: Incorp…An acceptance model for sports technologies: the effects of sports motivation, sports type and context-aware characteristics (2022)An acceptance model for sport…A big data analysis of social media coverage of athlete protests (2022)A big data analysis of social…Sport spectator adoption of technological innovations: a behavioral reasoning analysis of fan experience apps (2021)Sport spectator adoption of t…Continuance intention in running apps: the moderating effect of relationship norms (2021)Continuance intention in runn…Promoting built-for-disaster-purpose mobile applications: An interdisciplinary literature review to increase their penetration rate among tourists (2020)Promoting built-for-disaster-…Passive objective measures in the assessment of problematic smartphone use: A systematic review (2020)Passive objective measures in…Factors affecting spectators’ adoption of digital ticketing: the case of interscholastic sports (2020)Factors affecting spectators’…A Gratification Model of Sport Team Mobile Application Usage (2020)A Gratification Model of Spor…Smart Sports Fans: Factors Influencing Sport Consumption on Smartphones (2019)Smart Sports Fans: Factors In…Why we follow: Examining motivational differences in following sport organizations on Twitter and Weibo (2018)Why we follow: Examining moti…Sport fans in a “smart sport” (SS) age: drivers of smartphone use for sport consumption (2017)Sport fans in a “smart sport”…Motivation factors influencing intention of mobile sports apps use by applying the unified theory of acceptance and use of technology(UTAUT) (2017)Motivation factors influencin…The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions (2016)The effect of benefits genera…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model (2010)Chatbots in retailers’ customer communication: How to measure their acceptance? (2020)Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics (2021)A step-by-step approach to using the SAS system for factor analysis and structural equation modeling (1995)A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research (2003)Co-creation experiences: The next practice in value creation (2004)Customer Engagement (2011)Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation (2014)The role of live streaming in building consumer trust and engagement with social commerce sellers (2018)Marketing Notes and Communications: Why Do People Shop? (1972)Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces (1997)E-satisfaction: an initial examination (2000)The willingness of e-Government service adoption by business users: The role of offline service quality and trust in technology (2011)An Analysis of Factors Affecting on Online Shopping Behavior of Consumers (2012)Combining channels to make smart purchases: The role of webrooming and showrooming (2019)Intrinsic Motivation and Self-Determination in Human Behavior (1985)Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)Trust and TAM in Online Shopping: An Integrated Model1 (2003)User Acceptance of Hedonic Information Systems1 (2004)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Understanding Professional Athletes’ Use of Twitter: A Content Analysis of Athlete Tweets (2010)A Structural Model of the Relationships Between Sport Website Quality, E-Satisfaction, and E-Loyalty (2011)Social media and sports: driving fan engagement with football clubs on Facebook (2017)The uses of mass communications : current perspectives on gratifications research (1975)Mass Media Research: An Introduction (1991)The Social Influence of Brand Community: Evidence from European Car Clubs (2005)Customer engagement behaviours in social media: capturing innovation opportunities (2018)The role of brand community identification and reward on consumer brand engagement and brand loyalty in virtual brand communities (2019)Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention (2020)The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10 (1998)The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. (1998)A ‘components’ model of addiction within a biopsychosocial framework (2005)Health anxiety related to problematic smartphone use and gaming disorder severity during COVID ‐19: Fear of missing out as a mediator (2020)A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use (2021)Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review (2022)Interpretative Phenomenological Analysis: Theory, Method and Research (2010)Using the framework method for the analysis of qualitative data in multi-disciplinary health research (2013)One size fits all? What counts as quality practice in (reflexive) thematic analysis? (2020)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Design Science in Information Systems Research1 (2004)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)
this work references cited by second hop

References

  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 2006Constructing grounded theory : a practical guide through qualitative analysis18,720 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,751 cited
  • 2001Extending the TAM for a World-Wide-Web context3,830 cited
  • 2009An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness1,079 cited
  • 2002E‐shopping in a multiple channel environment189 cited
  • 2010Adoption and Use of Computer-Based Voice Over Internet Protocol Phone Service: Toward an Integrated Model145 cited
  • 2007Motivation and Concerns for Online Sport Consumption126 cited
  • 2009Consumer Adoption of Mobile Internet Services: An Exploratory Study69 cited

Cited by

  • 2016The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions210 cited
  • 2020Passive objective measures in the assessment of problematic smartphone use: A systematic review126 cited
  • 2018Why we follow: Examining motivational differences in following sport organizations on Twitter and Weibo70 cited
  • 2020Promoting built-for-disaster-purpose mobile applications: An interdisciplinary literature review to increase their penetration rate among tourists

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

39 cited
  • 2017Sport fans in a “smart sport” (SS) age: drivers of smartphone use for sport consumption37 cited
  • 2021Sport spectator adoption of technological innovations: a behavioral reasoning analysis of fan experience apps36 cited
  • 2019Smart Sports Fans: Factors Influencing Sport Consumption on Smartphones36 cited
  • 2021Continuance intention in running apps: the moderating effect of relationship norms32 cited
  • 2020Factors affecting spectators’ adoption of digital ticketing: the case of interscholastic sports30 cited
  • 2025Examining Users’ Acceptance Intention of Health Applications Based on the Technology Acceptance Model19 cited
  • 2017Motivation factors influencing intention of mobile sports apps use by applying the unified theory of acceptance and use of technology(UTAUT)18 cited
  • 2020A Gratification Model of Sport Team Mobile Application Usage16 cited
  • 2022A big data analysis of social media coverage of athlete protests16 cited
  • 2023An Empirical Research: Incorporation of User Innovativeness into TAM and UTAUT in Adopting a Golf App15 cited
  • 2022An acceptance model for sports technologies: the effects of sports motivation, sports type and context-aware characteristics15 cited
  • 2024Identity Driven Information Ecosystems15 cited