Disruptive technologies: How to influence price sensitivity triggering consumers’ behavioural beliefs

[1]  N. Pandey,et al.  Reference price research in marketing: a bibliometric analysis , 2022, Marketing Intelligence & Planning.

[2]  Joseph F. Hair,et al.  Progress in partial least squares structural equation modeling use in marketing research in the last decade , 2022, Psychology & Marketing.

[3]  José M. Ponzoa,et al.  Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers. , 2021, Technological Forecasting and Social Change.

[4]  Anett Erdmann,et al.  Value‐based adoption of augmented reality: A study on the influence on online purchase intention in retail , 2021, Journal of Consumer Behaviour.

[5]  J. Turčínková,et al.  Industry-Specific Factors Impeding the Implementation of Value-Based Pricing , 2021, European Journal of Business Science and Technology.

[6]  Marcelo Corrêa da Silva,et al.  Extending the theory of planned behavior to understand consumer purchase behavior for organic vegetables in Brazil: The role of perceived health benefits, perceived sustainability benefits and perceived price , 2021, Food Quality and Preference.

[7]  Amélia Brandão,et al.  Extending the theory of planned behaviour to understand the effects of barriers towards sustainable fashion consumption , 2021, European Business Review.

[8]  G. Balabanis,et al.  The price of social status desire and public self-consciousness in luxury consumption , 2021 .

[9]  T. Baumert,et al.  Brand antiquity and value perception: Are customers willing to pay higher prices for older brands? , 2021 .

[10]  Hassan Saleh Mahdi,et al.  Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM) , 2021, Journal of psycholinguistic research.

[11]  Heesup Han,et al.  Predicting consumer purchase intention toward hybrid vehicles: testing the moderating role of price sensitivity , 2020, European Business Review.

[12]  R. Elvik The demand for automated vehicles: A synthesis of willingness-to-pay surveys , 2020 .

[13]  Kai-Ingo Voigt,et al.  Investigating consumer acceptance of autonomous technologies: the case of self-driving automobiles , 2020 .

[14]  A. Lalwani,et al.  Price No Object!: The Impact of Power Distance Belief on Consumers’ Price Sensitivity , 2020, Journal of Marketing.

[15]  Angela Roth,et al.  Development of a classification framework for technology based retail services: a retailers’ perspective , 2020 .

[16]  I. Ajzen The theory of planned behavior: Frequently asked questions , 2020, Human Behavior and Emerging Technologies.

[17]  Y. Wong,et al.  Which factors affect willingness-to-pay for automated vehicle services? Evidence from public road deployment in Stockholm, Sweden , 2020 .

[18]  Yeon Ho Shin,et al.  Conference mobile application: Participant acceptance and the correlation with overall event satisfaction utilizing the technology acceptance model (TAM) , 2020, Journal of Convention & Event Tourism.

[19]  Ali Kashif Bashir,et al.  Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM) , 2020, Comput. Educ..

[20]  Muhammad Imtiaz Shafiq,et al.  Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM) , 2020, Technology in Society.

[21]  Alan Wilson,et al.  Shopping in the digital world: Examining customer engagement through augmented reality mobile applications , 2019, Comput. Hum. Behav..

[22]  O. Karintseva,et al.  Disruptive technologies for the transition of digital economies towards sustainability , 2019, Economic Annals-ХХI.

[23]  Sérgio Dominique-Ferreira,et al.  Estimating the price range and the effect of price bundling strategies , 2019, European Journal of Management and Business Economics.

[24]  Tao Han,et al.  Disruptive Technology Forecasting based on Gartner Hype Cycle , 2019, 2019 IEEE Technology & Engineering Management Conference (TEMSCON).

[25]  Varsha Khandker,et al.  Price determination for 4G service using price sensitivity model in India , 2019 .

[26]  Sergio Venturini,et al.  plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares , 2019, Journal of Statistical Software.

[27]  H. Latan,et al.  Determinants of capital structure and firm financial performance—A PLS-SEM approach: Evidence from Malaysia and Indonesia , 2019, The Quarterly Review of Economics and Finance.

[28]  Joseph F. Hair,et al.  When to use and how to report the results of PLS-SEM , 2019, European Business Review.

[29]  Sabyasachee Mishra,et al.  Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations , 2018, Transportation Research Part C: Emerging Technologies.

[30]  Zhigang Xu,et al.  Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions , 2018, Risk analysis : an official publication of the Society for Risk Analysis.

[31]  Tom Cohen,et al.  Reframing the governance of automotive automation: insights from UK stakeholder workshops , 2018, Journal of Responsible Innovation.

[32]  Ulrike Stopka,et al.  Mobility as a Service (MaaS) Based on Intermodal Electronic Platforms in Public Transport , 2018, HCI.

[33]  J. Kaivo‐oja,et al.  The VUCA approach as a solution concept to corporate foresight challenges and global technological disruption , 2018 .

[34]  Javier Faulin,et al.  An Extended Planned Behavior Model to Explain the Willingness to Pay to Reduce Noise Pollution in Road Transportation , 2018 .

[35]  Vladlena Benson,et al.  Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions , 2018, Comput. Hum. Behav..

[36]  Scott G. Dacko Enabling smart retail settings via mobile augmented reality shopping apps , 2017 .

[37]  Dong-Ping Song,et al.  Effects of risk-aversion on competing shipping lines’ pricing strategies with uncertain demands , 2017 .

[38]  Thamaraiselvan Natarajan,et al.  Understanding the intention to use mobile shopping applications and its influence on price sensitivity , 2017 .

[39]  Erich J. Schwarz,et al.  User Entrepreneur Business Models in 3D Printing , 2017 .

[40]  Stefan Roth,et al.  The conceptualization of pricing schemes: From product-centric to customer-centric value approaches , 2017 .

[41]  Katherine Haenschen Social Pressure on Social Media: Using Facebook Status Updates to Increase Voter Turnout , 2016 .

[42]  Martin Steinert,et al.  The hype cycle model: A review and future directions , 2016 .

[43]  Jean Tirole,et al.  Mindful Economics: The Production, Consumption, and Value of Beliefs , 2016 .

[44]  Natalia López-Mosquera Gender differences, theory of planned behavior and willingness to pay , 2016 .

[45]  Rajeev Sharma,et al.  The Theory of Planned Behaviour and dietary patterns: A systematic review and meta-analysis. , 2015, Preventive medicine.

[46]  Hwansoo Lee,et al.  Exploring factors affecting the adoption of mobile office in business: an integration of TPB with perceived value , 2015, Int. J. Mob. Commun..

[47]  Andreas Hinterhuber Violations of rational choice principles in pricing decisions , 2015 .

[48]  Daniel S. Kostyra,et al.  Decomposing the Effects of Online Customer Reviews on Brand, Price, and Product Attributes , 2015 .

[49]  Paul D. Larson,et al.  Consumer attitudes about electric cars: Pricing analysis and policy implications , 2014 .

[50]  Mufit Aydın,et al.  Value based Pricing: A Research on Service Sector Using Van Westendorp Price Sensitivity Scale , 2014 .

[51]  Tammo H. A. Bijmolt,et al.  Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology Products , 2014 .

[52]  K. Hagtvet,et al.  Latent interaction effects in the theory of planned behaviour applied to quitting smoking. , 2014, British journal of health psychology.

[53]  V. Morwitz,et al.  Influence via Comparison-Driven Self-Evaluation and Restoration: The Case of the Low-Status Influencer , 2012 .

[54]  Stan Lipovetsky,et al.  Pricing Models in Marketing Research , 2011, Intell. Inf. Manag..

[55]  Marco Bertini,et al.  Profiting When Customers Choose Value Over Price , 2011 .

[56]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

[57]  Heski Bar-Isaac,et al.  Search, Design and Market Structure , 2009 .

[58]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .

[59]  R. Goldsmith,et al.  Some Antecedents of Price Sensitivity , 2009 .

[60]  Andreas Hinterhuber,et al.  Customer value‐based pricing strategies: why companies resist , 2008 .

[61]  Heski Bar-Isaac,et al.  Information Gathering and Marketing , 2008 .

[62]  Raquel Sánchez-Fernández,et al.  The concept of perceived value: a systematic review of the research , 2007 .

[63]  Edgar Erdfelder,et al.  G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.

[64]  Wan-Min Kim,et al.  Price Sensitivity and Innovativeness for Fashion Among Korean Consumers , 2005, The Journal of social psychology.

[65]  D. E. Krause Influence-based leadership as a determinant of the inclination to innovate and of innovation-related behaviors: An empirical investigation , 2004 .

[66]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[67]  I. Ajzen Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives , 2002 .

[68]  S. Biddle,et al.  A Meta-Analytic Review of the Theories of Reasoned Action and Planned Behavior in Physical Activity: Predictive Validity and the Contribution of Additional Variables , 2002 .

[69]  Francis Bloch,et al.  Corrigendum1 to “Persuasive advertising in Hotelling’s model of product differentiation”: [Ind. J. Indust. Organ. 17 (1999) 557–574] , 2000 .

[70]  Francis Bloch,et al.  Corrigendum 1 1 We are grateful to David Hennessy for pointing out this mistake in our original paper. to “Persuasive advertising in Hotelling’s model of product differentiation” , 1999 .

[71]  R. Goldsmith,et al.  INNOVATIVENESS AND PRICE SENSITIVITY: MANAGERIAL, THEORETICAL AND METHODOLOGICAL ISSUES , 1997 .

[72]  Donald R. Lehmann,et al.  The Long-Term Impact of Promotion and Advertising on Consumer Brand Choice , 1997 .

[73]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[74]  I. Ajzen The theory of planned behavior , 1991 .

[75]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[76]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence , 1988 .

[77]  J. Wincent,et al.  Value-based pricing in digital platforms: A machine learning approach to signaling beyond core product attributes in cross-platform settings , 2022, Journal of business research.

[78]  Thu-Trang Thi Doan Factors affecting online purchase intention: A study of Vietnam online customers , 2020 .

[79]  P. Lacy,et al.  Disruptive Technologies , 2020, The Circular Economy Handbook.

[80]  William Ratjeana Malatji,et al.  Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM) , 2020 .

[81]  Philipp A. Rauschnabel,et al.  Exploring the Early Adopters of Augmented Reality Smart Glasses: The Case of Microsoft HoloLens , 2018 .

[82]  Chia-Lin Hsu,et al.  Exploring purchase intention of green skincare products using the theory of planned behavior: Testing the moderating effects of country of origin and price sensitivity , 2017 .

[83]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[84]  Icek Ajzen,et al.  Action versus inaction: Anticipated affect in the theory of planned behavior. , 2013 .

[85]  Juha Munnukka Dynamics of price sensitivity among mobile service customers , 2005 .

[86]  Yeqing Bao,et al.  Exploring the Concept and Measurement of General Risk Aversion , 2005 .

[87]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[88]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .