Perceived values and motivations influencing m-commerce use: A nine-country comparative study
暂无分享,去创建一个
Ali Anwar | Narongsak Thongpapanl | Abdul R. Ashraf | Viswanath Venkatesh | Luciano Lapa | N. Thongpapanl | Luciano Lapa | V. Venkatesh | Ali Anwar | A. R. Ashraf
[1] Viswanath Venkatesh,et al. Role of time in self-prediction of behavior , 2006 .
[2] Fred D. Davis,et al. A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .
[3] Sonia San-Martín,et al. What Drives M-Shoppers to Continue Using Mobile Devices to Buy? , 2019, Journal of Marketing Theory and Practice.
[4] Joseph F. Hair,et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .
[5] Viswanath Venkatesh,et al. Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead , 2016, J. Assoc. Inf. Syst..
[6] Arpita Khare,et al. A meta-analysis of antecedents and consequences of trust in mobile commerce , 2020, Int. J. Inf. Manag..
[7] Nastaran Hajiheydari,et al. Mobile application user behavior in the developing countries: A survey in Iran , 2018, Inf. Syst..
[8] David T. Neal,et al. Habit slips: when consumers unintentionally resist new products , 2017 .
[9] Zheng Fang,et al. Mobile Targeting , 2013, Manag. Sci..
[10] Gurpreet Dhillon,et al. A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research , 2014, Inf. Syst. Res..
[11] Abdul R. Ashraf,et al. Differential Effects of Customers’ Regulatory Fit on Trust, Perceived Value, and M-Commerce Use among Developing and Developed Countries , 2018, Journal of International Marketing.
[12] A. Parasuraman,et al. Technology Readiness Index (Tri) , 2000 .
[13] Harsh Vardhan Samalia,et al. Extending unified theory of acceptance and use of technology with perceived monetary value for smartphone adoption at the bottom of the pyramid , 2020, Int. J. Inf. Manag..
[14] Dan Jong Kim,et al. A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention , 2013, Decis. Support Syst..
[15] Ryan E. Rhodes,et al. Exercise habit formation in new gym members: a longitudinal study , 2015, Journal of Behavioral Medicine.
[16] Viswanath Venkatesh,et al. Leveraging Microsoft's mobile usability guidelines: Conceptualizing and developing scales for mobile application usability , 2016, Int. J. Hum. Comput. Stud..
[17] Chun-Ming Chang,et al. Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents , 2012, Decis. Support Syst..
[18] Mark Srite,et al. A Research Model for Mobile Phone Service Behaviors: Empirical Validation in the U.S. and Turkey , 2005 .
[19] Bernard Rimé,et al. Cultural dimensions, socioeconomic development, climate, and emotional hedonic level , 2002 .
[20] Margherita Pagani. Determinants of adoption of third generation mobile multimedia services , 2004 .
[21] Ko de Ruyter,et al. Gamification and Mobile Marketing Effectiveness , 2015 .
[22] Abdul R. Ashraf,et al. Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage , 2020, Journal of Strategic Marketing.
[23] Xi Chen,et al. Factors Influencing Consumption Experience of Mobile Commerce: a Study from Experiential View , 2012, Internet Res..
[24] Robert W. Palmatier,et al. Understanding Relationship Marketing and Loyalty Program Effectiveness in Global Markets , 2015 .
[25] Nick Bontis,et al. User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..
[26] Venkatesh Shankar,et al. Asymmetries in the Effects of Drivers of Brand Loyalty Between Early and Late Adopters and Across Technology Generations , 2014 .
[27] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[28] D. Griffith,et al. Incorporating cultural values for understanding the influence of perceived product creativity on intention to buy: An examination in Italy and the US , 2011 .
[29] Lionel P. Robert,et al. Extending the Concept of Control Beliefs: Integrating the Role of Advice Networks , 2017, Inf. Syst. Res..
[30] G. Soutar,et al. Consumer perceived value: The development of a multiple item scale , 2001 .
[31] Sumeet Gupta,et al. Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..
[32] Moez Limayem,et al. Force of Habit and Information Systems Usage: Theory and Initial Validation , 2003, J. Assoc. Inf. Syst..
[33] Paul L. Sauer,et al. Hedonic shopping motivation and co-shopper influence on utilitarian grocery shopping in superstores , 2014 .
[34] Bernd H. Schmitt,et al. Functional and Experiential Routes to Persuasion: An Analysis of Advertising in Emerging Versus Developed Markets , 2012 .
[35] Michael Y. Hu,et al. Process Standardization across Intra- and Inter-Cultural Relationships , 2000 .
[36] Piyush Sharma. Measuring personal cultural orientations: scale development and validation , 2010 .
[37] Zheng Fang,et al. Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness , 2016, Mark. Sci..
[38] Xiaojun Zhang,et al. A Nomological Network of Knowledge Management System Use: Antecedents and Consequences , 2017, MIS Q..
[39] Qing Hu,et al. Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..
[40] Hyunsun Park,et al. Effects of various characteristics of social commerce (s-commerce) on consumers' trust and trust performance , 2013, Int. J. Inf. Manag..
[41] L. Krishnamurthi,et al. On the Go: How Mobile Shopping Affects Customer Purchase Behavior , 2015 .
[42] Sang Pil Han,et al. Estimating Demand for Mobile Applications in the New Economy , 2014, Manag. Sci..
[43] Viswanath Venkatesh,et al. Effects of ICT Service Innovation and Complementary Strategies on Brand Equity and Customer Loyalty in a Consumer Technology Market , 2014, Inf. Syst. Res..
[44] K. Raman,et al. Effect of government incentives on computerisation in small business , 1994 .
[45] Shintaro Okazaki,et al. Perceived Ubiquity in Mobile Services , 2013 .
[46] Viswanath Venkatesh,et al. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..
[47] Nripendra P. Rana,et al. Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal , 2020, Int. J. Inf. Manag..
[48] Dianne Cyr,et al. Beyond Trust: Web Site Design Preferences Across Cultures , 2005, J. Glob. Inf. Manag..
[49] Venkatesh Shankar,et al. Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues , 2016 .
[50] P. Patterson,et al. The Roles of Habit, Self-Efficacy, and Satisfaction in Driving Continued Use of Self-Service Technologies , 2013 .
[51] Yogesh Kumar Dwivedi,et al. A generalised adoption model for services: A cross-country comparison of mobile health (m-health) , 2016, Gov. Inf. Q..
[52] J. Steenkamp,et al. Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .
[53] Neena Sinha,et al. Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence , 2020, Int. J. Inf. Manag..
[54] Venkataraman Ramesh,et al. Web and Wireless Site Usability: Understanding Differences and Modeling Use , 2006, MIS Q..
[55] Ju-Young M. Kang,et al. In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps , 2015, Comput. Hum. Behav..
[56] Viswanath Venkatesh,et al. Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..
[57] Yogesh Kumar Dwivedi,et al. Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor , 2019, Comput. Hum. Behav..
[58] Himanshu Sharma,et al. A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services , 2019, Inf. Syst. Manag..
[59] Peter R. Magnusson,et al. Technology readiness and usage: a global-identity perspective , 2009 .
[60] M. Huang,et al. Value Fusion: The Blending of Consumer and Firm Value in the Distinct Context of Mobile Technologies and Social Media , 2013 .
[61] Norman Shaw,et al. The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value , 2019, Int. J. Inf. Manag..
[62] Jeeyeon Kim,et al. Mobile Shopping through Applications: Understanding Application Possession and Mobile Purchase , 2016 .
[63] Abdul R. Ashraf,et al. The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption , 2014 .
[64] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[65] Detmar W. Straub,et al. Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..
[66] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[67] Ana Ortiz de Guinea,et al. Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use , 2009 .
[68] Stavroula Spyropoulou,et al. Service employee burnout and engagement: the moderating role of power distance orientation , 2016 .
[69] Pratyush Nidhi Sharma,et al. Cross-National Differences in Consumer Satisfaction: Mobile Services in Emerging and Developed Markets , 2015 .
[70] Feng-Yang Kuo,et al. A study of the intention-action gap in knowledge sharing practices , 2008, J. Assoc. Inf. Sci. Technol..
[71] Kar Yan Tam,et al. Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..
[72] Viswanath Venkatesh,et al. Mobile Application Usability: Conceptualization and Instrument Development , 2015, MIS Q..
[73] Hans van der Heijden,et al. User Acceptance of Hedonic Information Systems , 2004, MIS Q..
[74] E. Autio,et al. SOCIAL CAPITAL, KNOWLEDGE ACQUISITION, AND KNOWLEDGE EXPLOITATION IN YOUNG TECHNOLOGY-BASED FIRMS , 2001 .
[75] Narongsak Thongpapanl,et al. The role of customer regulatory orientation and fit in online shopping across cultural contexts , 2016 .
[76] Chee-Sing Yap,et al. Top Management Support, External Expertise and Information Systems Implementation in Small Businesses , 1996, Inf. Syst. Res..
[77] Jay F. Nunamaker,et al. User Acceptance of Knowledge-Based System Recommendations: Explanations, Arguments, and Fit , 2015, Decis. Support Syst..
[78] V. Kumar,et al. Managing Customer Profits: The Power of Habits , 2014 .
[79] Tracy Ann Sykes. Support Structures and Their Impacts on Employee Outcomes: A Longitudinal Field Study of an Enterprise System Implementation , 2015, MIS Q..
[80] Xiabing Zheng,et al. Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing , 2019, Int. J. Inf. Manag..
[81] Fred D. Davis,et al. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .
[82] Sam K. Hui,et al. Mobile Promotions: A Framework and Research Priorities , 2016 .
[83] J. Thong,et al. Programme evaluation of a government information technology programme for small businesses , 1997, J. Inf. Technol..
[84] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[85] Heiner Evanschitzky,et al. Hedonic shopping motivations in collectivistic and individualistic consumer cultures , 2014 .
[86] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[87] Yujong Hwang,et al. Mobile banking use: A comparative study with Brazilian and U.S. participants , 2019, Int. J. Inf. Manag..
[88] G. Hult,et al. Innovativeness: Its antecedents and impact on business performance , 2004 .
[89] Viswanath Venkatesh,et al. A usability study of the obamacare website: Evaluation and recommendations , 2017, Gov. Inf. Q..
[90] Xiaojun Zhang,et al. An espoused cultural perspective to understand continued intention to use mobile applications: a four-country study of mobile social media application usability , 2015, Eur. J. Inf. Syst..
[91] K. Ruyter,et al. An assessment of value creation in mobile service delivery and the moderating role of time consciousness , 2007 .
[92] Yeong Gug Kim,et al. Application of the Stimuli-Organism-Response (S-O-R) Framework to Online Shopping Behavior , 2014 .
[93] Kai-Yu Tang,et al. Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives , 2016, Telematics Informatics.
[94] M. Theodosiou,et al. Strategy fit and performance consequences of international marketing standardization , 2006 .
[95] Sridhar Balasubramanian,et al. Mobile Marketing: A Synthesis and Prognosis , 2009 .
[96] Janarthanan Balakrishnan,et al. Consumers response towards mobile commerce applications: S-O-R approach , 2020, Int. J. Inf. Manag..
[97] Gordon W. Cheung,et al. Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .
[98] Chin-Lung Hsu,et al. Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..
[99] Kar Yan Tam,et al. Understanding the behavior of mobile data services consumers , 2008, Inf. Syst. Frontiers.
[100] Yogesh Kumar Dwivedi,et al. Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust , 2017, Int. J. Inf. Manag..
[101] Stephen Shaoyi Liao,et al. Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications , 2008, Decis. Support Syst..
[102] Piyush Sharma. Country of origin effects in developed and emerging markets: Exploring the contrasting roles of materialism and value consciousness , 2011 .
[103] M. Alvesson,et al. Constructing mystery: Empirical matters in theory development , 2007 .
[104] Ángel Herrero Crespo,et al. Explaining the adoption of social networks sites for sharing user-generated content: A revision of the UTAUT2 , 2017, Comput. Hum. Behav..
[105] Tracy Ann Sykes,et al. Impacts of Information and Communication Technology Implementations on Employees' Jobs in Service Organizations in India: A Multi‐Method Longitudinal Field Study , 2010 .
[106] Xiaojun Zhang,et al. Designing Collaborative Systems to Enhance Team Performance , 2011, J. Assoc. Inf. Syst..
[107] Venkataraman Ramesh,et al. Understanding usability in mobile commerce , 2003, CACM.
[108] Chechen Liao,et al. Shopping motivations on Internet: A study based on utilitarian and hedonic value , 2007 .
[109] C. Fornell,et al. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics , 1981 .
[110] Dhruv Grewal,et al. Self-service technology effectiveness: the role of design features and individual traits , 2007 .
[111] Heikki Karjaluoto,et al. How perceived value drives the use of mobile financial services apps , 2019, Int. J. Inf. Manag..
[112] Kar Yan Tam,et al. The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..
[113] Yun Zhang,et al. The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture , 2018, Int. J. Inf. Manag..
[114] Viswanath Venkatesh,et al. Consumer Acceptance of Personal Information and Communication Technology Services , 2011, IEEE Transactions on Engineering Management.
[115] Abdul R. Ashraf,et al. The Role of M-Commerce Readiness in Emerging and Developed Markets , 2017 .
[116] Chao Wen,et al. Design and performance attributes driving mobile travel application engagement , 2017, Int. J. Inf. Manag..
[117] Viswanath Venkatesh,et al. Explaining Post-Implementation Employee System Use and Job Performance: Impacts of the Content and Source of Social Network Ties , 2017, MIS Q..
[118] Viswanath Venkatesh,et al. Implementation of an Information and Communication Technology in a Developing Country: A Multimethod Longitudinal Study in a Bank in India , 2016, Inf. Syst. Res..
[119] Moez Limayem,et al. How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..
[120] P. Leeflang,et al. Does the importance of value, brand and relationship equity for customer loyalty differ between Eastern and Western cultures? , 2014 .
[121] G. W. Milligan,et al. An examination of procedures for determining the number of clusters in a data set , 1985 .
[122] G. Johnson. The essential impact of context on organizational behavior , 2006 .
[123] Stuart J. Barnes,et al. Understanding use continuance in virtual worlds: Empirical test of a research model , 2011, Inf. Manag..
[124] Chao Wen,et al. It is not for fun: An examination of social network site usage , 2012, Inf. Manag..
[125] Viswanath Venkatesh,et al. The future is now: calling for a focus on temporal issues in information system research , 2021, Ind. Manag. Data Syst..
[126] Fred D. Davis,et al. Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..
[127] Yogesh Kumar Dwivedi,et al. Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response , 2018, Int. J. Inf. Manag..
[128] G. Johns. The Essential Impact of Context on Organizational Behavior , 2006 .
[129] Wenhua Liu,et al. Influence of customer engagement with company social networks on stickiness: Mediating effect of customer value creation , 2017, Int. J. Inf. Manag..
[130] Miltiadis D. Lytras,et al. Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology , 2018, Comput. Hum. Behav..
[131] Sandra Thomas,et al. Empirical research on mobile Internet usage: A meta-analysis of the literature , 2014 .
[132] Ananthanarayanan Parasuraman,et al. An Updated and Streamlined Technology Readiness Index , 2015 .
[133] Yogesh Kumar Dwivedi,et al. The battle of Brain vs. Heart: A literature review and meta-analysis of "hedonic motivation" use in UTAUT2 , 2019, Int. J. Inf. Manag..
[134] N. Thongpapanl,et al. Structural and Relational Influences on the Role of Reward Interdependence in Product Innovation , 2015 .
[135] Bin Gu,et al. Contemporaneous and Delayed Sales Impact of Location-Based Mobile Promotions , 2015, Inf. Syst. Res..
[136] Viswanath Venkatesh,et al. A usability evaluation of the Obamacare website , 2014, Gov. Inf. Q..
[137] David C. Yen,et al. Understanding the perceived community value of Facebook users , 2014, Comput. Hum. Behav..
[138] Jun Sun,et al. Internet banking diffusion: A country-level analysis , 2015, Electron. Commer. Res. Appl..
[139] Markus Blut,et al. Acceptance of Smartphone-Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context , 2017 .
[140] J. Russell,et al. An approach to environmental psychology , 1974 .