Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach
暂无分享,去创建一个
Yogesh K. Dwivedi | Vikas Arya | Anshuman Sharma | Muhammad Qutubuddin Siddiqui | Vikas Arya | Anshuman Sharma
[1] N. Kock. Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach , 2015, Int. J. e Collab..
[2] M. Bradley. Natural selective attention: orienting and emotion. , 2009, Psychophysiology.
[3] K. Mardia. Measures of multivariate skewness and kurtosis with applications , 1970 .
[4] Scott B. MacKenzie,et al. Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies , 2012 .
[5] Ahmed Shuhaiber,et al. Developing and validating a comprehensive model of factors influencing consumer acceptance of SMS advertising: empirical evidence using SEM-PLS , 2018, Int. J. Bus. Inf. Syst..
[6] D. Albarracín,et al. Craving Activity and Losing Objectivity , 2012 .
[7] Lin Hongyan,et al. Effects of Mobile Text Advertising on Consumer Purchase Intention: A Moderated Mediation Analysis , 2017, Front. Psychol..
[8] V. Zeithaml. Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .
[9] Jeffrey R. Edwards,et al. Improving Our Understanding of Moderation and Mediation in Strategic Management Research , 2017 .
[10] J. Dawson. Moderation in Management Research: What, Why, When, and How , 2014 .
[11] Marko Sarstedt,et al. The use of sampling methods in advertising research: a gap between theory and practice , 2018 .
[12] Himanshu Sharma,et al. A Hybrid SEM-Neural Network Model for Predicting Determinants of Mobile Payment Services , 2019, Inf. Syst. Manag..
[13] Robert H. Ducoffe. How Consumers Assess the Value of Advertising , 1995 .
[14] Jeffrey D. James,et al. The Mediating Role of Perceived Value: Team Identification and Purchase Intention of Team-Licensed Apparel , 2007 .
[15] Lei Mee Thien. Assessing a second-order quality of school life construct using partial least squares structural equation modelling approach , 2020, International Journal of Research & Method in Education.
[16] Shintaro Okazaki. How do Japanese consumers perceive wireless ads? A multivariate analysis , 2004 .
[17] Dongsong Zhang,et al. Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression , 2006, Decis. Support Syst..
[18] Zhilin Yang,et al. Customer perceived value, satisfaction, and loyalty: The role of switching costs , 2004 .
[19] Rudolf R. Sinkovics,et al. Determinants of Consumer Perceptions toward Mobile Advertising — A Comparison between Japan and Austria , 2012 .
[20] Yogesh Kumar Dwivedi,et al. Reformation of public service to meet citizens' needs as customers: Evaluating SMS as an alternative service delivery channel , 2016, Comput. Hum. Behav..
[21] Kim-Shyan Fam. Attributes of Likeable Television Commercials in Asia , 2008, Journal of Advertising Research.
[22] Karolien Poels,et al. Chatbot advertising effectiveness: When does the message get through? , 2019, Comput. Hum. Behav..
[23] Manisha Sharma,et al. Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation , 2019, Int. J. Inf. Manag..
[24] Lana K. Brackett,et al. Cyberspace Advertising vs. Other Media: Consumer vs. Mature Student Attitudes , 2001, Journal of Advertising Research.
[25] Christina Chung,et al. Applying the technology acceptance model in a two-country study of SMS advertising , 2015 .
[26] Zoran Kalinic,et al. International Journal of Information Management , 2016 .
[27] R. Salehzadeh,et al. Brand Attitude and Perceived Value and Purchase Intention toward Global Luxury Brands , 2017 .
[28] Hao Chen,et al. Understanding the relationship between online self-image expression and purchase intention in SNS games: A moderated mediation investigation , 2020, Comput. Hum. Behav..
[29] Rodney Graeme Duffett,et al. The influence of Facebook advertising on cognitive attitudes amid Generation Y , 2015, Electron. Commer. Res..
[30] Sujeet Kumar Sharma,et al. Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling , 2017, Information Systems Frontiers.
[31] P. Wu,et al. The Effect of Store Image and Service Quality on Brand Image and Purchase Intention for Private Label Brands , 2011 .
[32] Doreen Musimenta,et al. Attitude: mediator of subjective norm, religiosity and intention to adopt Islamic banking , 2019, Journal of Islamic Marketing.
[33] Thi Thu Hien Nguyen,et al. Investigating Consumer Attitude and Intention towards Online Food Purchasing in an Emerging Economy: An Extended TAM Approach , 2019, Foods.
[34] Kenneth K. Boyer,et al. Theorizing, testing, and concluding for mediation in SCM research: Tutorial and procedural recommendations , 2014 .
[35] Christie M. Fuller,et al. Common methods variance detection in business research , 2016 .
[36] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[37] Cheryl Burke Jarvis,et al. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .
[38] Janarthanan Balakrishnan,et al. Consumers response towards mobile commerce applications: S-O-R approach , 2020, Int. J. Inf. Manag..
[39] J. W. Hutchinson,et al. Dimensions of Consumer Expertise , 1987 .
[40] Sujeet Kumar Sharma,et al. Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems , 2017, Behav. Inf. Technol..
[41] Christian Nitzl,et al. Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models , 2016, Ind. Manag. Data Syst..
[42] Garry Wei-Han Tan,et al. Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach , 2014, Comput. Hum. Behav..
[43] L. Stoel,et al. Effect of brand familiarity, experience and information on online apparel purchase , 2005 .
[44] Wynne W. Chin,et al. Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research , 2020, Ind. Manag. Data Syst..
[45] Bernard J. Jaworski,et al. Enhancing and Measuring Consumers’ Motivation, Opportunity, and Ability to Process Brand Information from Ads , 1991 .
[46] K. Varnali. SMS advertising: How message relevance is linked to the attitude toward the brand? , 2014 .
[47] Richard P. Bagozzi,et al. Attitude formation under the theory of reasoned action and a purposeful behaviour reformulation , 1986 .
[48] Ying Wang,et al. Path to effective mobile advertising in Asian markets , 2019, Asia Pacific Journal of Marketing and Logistics.
[49] R. J. Kent,et al. Does competitive clutter in television advertising “interfere” with the recall and recognition of brand names and ad claims? , 1993 .
[50] Houcine Akrout,et al. Trust and commitment within a virtual brand community: The mediating role of brand relationship quality , 2018, Inf. Manag..
[51] Alain Yee-Loong Chong,et al. A SEM-neural network approach for understanding determinants of interorganizational system standard adoption and performances , 2012, Decis. Support Syst..
[52] Felipe Hernández-Perlines,et al. The effect of entrepreneurial orientation on firm performance: A multigroup analysis comparing China, Mexico, and Spain , 2020, Journal of Business Research.
[53] David J. Reibstein,et al. The Direction of Causality Between Perceptions, Affect, and Behavior: An Application to Travel Behavior , 1980 .
[54] Wei-Tsong Wang,et al. Factors influencing mobile services adoption: A brand-equity perspective , 2012, Internet Res..
[55] F. Yammarino,et al. Identifying Common Methods Variance With Data Collected From A Single Source: An Unresolved Sticky Issue , 1991 .
[56] Alicia Izquierdo Yusta,et al. Attitudes toward mobile advertising among users versus non-users of the mobile Internet , 2015, Telematics Informatics.
[57] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[58] Shintaro Okazaki,et al. How Mobile Advertising Works: The Role of Trust in Improving Attitudes and Recall , 2007, Journal of Advertising Research.
[59] Ned Kock,et al. A Note on How to Conduct a Factor-Based PLS-SEM Analysis , 2015, Int. J. e Collab..
[60] Eun Soo Rhee,et al. Brand familiarity as a moderating factor in the ad and brand attitude relationship and advertising appeals , 2019 .
[61] Marko Sarstedt,et al. How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM , 2019, Australasian Marketing Journal.
[62] M. Sarstedt,et al. ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT , 2018, Journal of Applied Structural Equation Modeling.
[63] E. Erdfelder,et al. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses , 2009, Behavior research methods.
[64] Galit Shmueli,et al. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict , 2019, European Journal of Marketing.
[65] Paul E. Spector. Method Variance in Organizational Research , 2006 .
[66] H. Ting,et al. MODERATION ANALYSIS: ISSUES AND GUIDELINES , 2019, Journal of Applied Structural Equation Modeling.
[67] Sonia Carcelén,et al. The Effects of Digital Media Advertising Content on Message Acceptance or Rejection: Brand Trust as a Moderating Factor , 2017 .
[68] Pradeep Korgaonkar,et al. Web usage, advertising, and shopping: relationship patterns , 2002, Internet Res..
[69] Robert Lawson,et al. Advertising effectiveness from a consumer perspective , 2008 .
[70] S. Geisser. A predictive approach to the random effect model , 1974 .
[71] Ting-Peng Liang,et al. Consumer Attitudes Toward Mobile Advertising: An Empirical Study , 2004, Int. J. Electron. Commer..
[72] Chih-Hsing Liu,et al. How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value , 2019, Journal of Air Transport Management.
[73] Binshan Lin,et al. Reducing bias in shopping mall-intercept surveys: The time-based systematic sampling method , 1996 .
[74] Taanika Arora,et al. Empirical Study on Perceived Value and Attitude of Millennials Towards Social Media Advertising: A Structural Equation Modelling Approach , 2019, Vision: The Journal of Business Perspective.
[75] Thomas G. Reio,et al. The Threat of Common Method Variance Bias to Theory Building , 2010 .
[76] George M. Giaglis,et al. Consumer Responses to SMS Advertising: Antecedents and Consequences , 2013, Int. J. Electron. Commer..
[77] Linwan Wu. Understanding the Impact of Media Engagement on the Perceived Value and Acceptance of Advertising Within Mobile Social Networks , 2016 .
[78] Peng-Ting Chen,et al. Personalized mobile advertising: Its key attributes, trends, and social impact , 2012 .
[79] Bernard J. Jaworski,et al. Information Processing from Advertisements: Toward an Integrative Framework , 1989 .
[80] Scott B. MacKenzie,et al. An Empirical Examination of the Structural Antecedents of Attitude toward the Ad in an Advertising Pretesting Context , 1989 .
[81] Billy Bai,et al. The Marketing Effectiveness of Social Media in the Hotel Industry , 2015 .
[82] Ching-I Teng,et al. Carefulness Matters: Consumer Responses to Short Message Service Advertising , 2016, Int. J. Electron. Commer..
[83] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[84] Sally J. McMillan,et al. Gearing up for mobile advertising: A cross‐cultural examination of key factors that drive mobile messages home to consumers , 2008 .
[85] Scott B. MacKenzie,et al. Working memory: theories, models, and controversies. , 2012, Annual review of psychology.
[86] Alain Yee-Loong Chong,et al. A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption , 2013, Expert Syst. Appl..
[87] Gokhan Aydin,et al. A comparative study on attitudes towards SMS advertising and mobile application advertising , 2017, Int. J. Mob. Commun..
[88] Alex Wang. Advertising Engagement: A Driver of Message Involvement on Message Effects , 2006, Journal of Advertising Research.
[89] C. Perera. Corporate Social Responsibility and Product Evaluation : Moderating role of Brand familiarity , 2010 .
[90] Edward Shih-Tse Wang,et al. Consumer attitudes and interactive digital advertising , 2009 .
[91] Hyun-Joo Lee,et al. Consumers’ perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food , 2015 .
[92] K. King,et al. Exploring the consequences of brand credibility in services , 2011 .
[93] Yoo Jung Kim,et al. Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization , 2014, Comput. Hum. Behav..
[94] Nils Magne Larsen,et al. Factors Affecting Attitudes and Behavioral Intentions Toward In-app Mobile Advertisements , 2018 .
[95] Ying Wang,et al. Examining the role of beliefs and attitudes in online advertising , 2010 .
[96] Joseph F. Hair,et al. When to use and how to report the results of PLS-SEM , 2019, European Business Review.
[97] Martin Wetzels,et al. Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models , 2012 .
[98] M. Laroche,et al. Brand familiarity and confidence as determinants of purchase intention: An empirical test in a multiple brand context , 1996 .
[99] Pei-Luen Patrick Rau,et al. Factors influencing mobile advertising avoidance , 2013, Int. J. Mob. Commun..
[100] Hongyan Lin,et al. Influence of SMS Advertising on Consumer Behavioral Intention , 2015, J. Organ. End User Comput..
[101] Pei-Luen Patrick Rau,et al. Content relevance and delivery time of SMS advertising , 2011, Int. J. Mob. Commun..
[102] Sujeet Kumar Sharma,et al. Neural network approach to predict mobile learning acceptance , 2018, Education and Information Technologies.
[103] J. Hulland,et al. Marketing survey research best practices: evidence and recommendations from a review of JAMS articles , 2018 .
[104] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[105] Yuhmiin Chang,et al. Age matters: Short Message Service advertising reading behaviours , 2013, Int. J. Mob. Commun..
[106] M. Sarstedt,et al. A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .
[107] Kuo-Ming Chu. Mediating Influences of Attitude on Internal and External Factors Influencing Consumers’ Intention to Purchase Organic Foods in China , 2018, Sustainability.
[108] Ramiro Gonçalves,et al. How smartphone advertising influences consumers' purchase intention , 2019, Journal of Business Research.