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The influence of mobile application design features on users' stickiness intentions as mediated by emotional response
16 references·7 citing·43 second hop
The influence of mobile application design features on users' stickiness intentions as mediated by emotional response (2021)The influence of mobile application desig…The digitalization of retailing: an exploratory framework (2016)The digitalization of retaili…Impact of store environment on impulse buying behavior (2013)Impact of store environment o…Stimuli–organism-response framework: A meta-analytic review in the store environment (2012)Stimuli–organism-response fra…The effect of web interface features on consumer online purchase intentions (2008)The effect of web interface f…An integrative framework capturing experiential and utilitarian shopping experience (2007)An integrative framework capt…Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective (2006)Why Do Internet Users Stick w…Empirical testing of a model of online store atmospherics and shopper responses (2003)Empirical testing of a model …The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions (2002)The Influence of Multiple Sto…Key dimensions of business-to-consumer web sites (2002)Key dimensions of business-to…Shopping Online for Freedom, Control, and Fun (2001)Shopping Online for Freedom, …Atmospheric qualities of online retailing (2001)Atmospheric qualities of onli…Perceived Retail Crowding and Shopping Satisfaction: What Modifies This Relationship? (2000)Perceived Retail Crowding and…Atmospheric Effects on Shopping Behavior (2000)Atmospheric Effects on Shoppi…Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations (1996)Marketing in Hypermedia Compu…Servicescapes: The Impact of Physical Surroundings on Customers and Employees (1992)Servicescapes: The Impact of …Atmospherics as a Marketing Tool (1974)Atmospherics as a Marketing T…Understanding users’ recommendation intention of online museums: a perspective of the cognition-emotion-behavior theory and the expectation confirmation model (2025)Understanding users’ recommen…Assessing Unified Payments Interface (UPI) adoption and usage through the interplay of UTAUT factors (2025)Assessing Unified Payments In…How do purchase preferences moderate the impact of time and price sensitivity on the purchase intention of customers on online-to-offline (O2O) delivery platforms? (2024)How do purchase preferences m…Stickiness formation among mobile apps of different social levels: multigroup analysis using the cognitive–affective–conative framework (2023)Stickiness formation among mo…What Drives the Digital Customer Experience and Customer Loyalty in Mobile Short-Form Video Shopping? Evidence from Douyin (TikTok) (2022)What Drives the Digital Custo…Values that drive desire: examining determinants of mobile promotion satisfaction (2022)Values that drive desire: exa…Need for cognitive closure and mobile personalization: a cluster analysis (2022)Need for cognitive closure an…The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun (1982)Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement (1983)eTailQ: dimensionalizing, measuring and predicting etail quality (2003)Store atmosphere and purchasing behavior (1994)Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment☆11☆This article is based upon the first author’s doctoral dissertation completed while at Georgia Institute of Technology. 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(1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Structural equation modeling in practice: A review and recommended two-step approach. 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(1977)The theory of planned behavior (1991)Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004)Consumer engagement in a virtual brand community: An exploratory analysis (2011)Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation (2014)Why we buy what we buy: A theory of consumption values (1991)
this work references cited by second hop

References

  • 1992Servicescapes: The Impact of Physical Surroundings on Customers and Employees7,267 cited
  • 1996Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations5,628 cited
  • 1974Atmospherics as a Marketing Tool2,541 cited
  • 2002The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions2,256 cited
  • 2000Atmospheric Effects on Shopping Behavior1,921 cited
  • 2001Atmospheric qualities of online retailing1,472 cited
  • 2003Empirical testing of a model of online store atmospherics and shopper responses1,282 cited
  • 2001Shopping Online for Freedom, Control, and Fun1,150 cited
  • 2002Key dimensions of business-to-consumer web sites1,118 cited
  • 2008The effect of web interface features on consumer online purchase intentions981 cited
  • 2016The digitalization of retailing: an exploratory framework663 cited
  • 2000Perceived Retail Crowding and Shopping Satisfaction: What Modifies This Relationship?498 cited
  • 2012Stimuli–organism-response framework: A meta-analytic review in the store environment457 cited
  • 2006Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective429 cited
  • 2013Impact of store environment on impulse buying behavior

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425 cited
  • 2007An integrative framework capturing experiential and utilitarian shopping experience389 cited
  • Cited by

    • 2022What Drives the Digital Customer Experience and Customer Loyalty in Mobile Short-Form Video Shopping? Evidence from Douyin (TikTok)44 cited
    • 2023Stickiness formation among mobile apps of different social levels: multigroup analysis using the cognitive–affective–conative framework30 cited
    • 2022Values that drive desire: examining determinants of mobile promotion satisfaction18 cited
    • 2024How do purchase preferences moderate the impact of time and price sensitivity on the purchase intention of customers on online-to-offline (O2O) delivery platforms?17 cited
    • 2025Assessing Unified Payments Interface (UPI) adoption and usage through the interplay of UTAUT factors13 cited
    • 2025Understanding users’ recommendation intention of online museums: a perspective of the cognition-emotion-behavior theory and the expectation confirmation model11 cited
    • 2022Need for cognitive closure and mobile personalization: a cluster analysis11 cited