Emerging Phenomena of the Branded App: A Systematic Literature Review, Strategies, and Future Research Directions

References

Group A: Papers Referenced in This Article (Outside of List of Mentioned 40 Papers)

• Ajzen, I. (1991), “The Theory of Planned Behavior,” Organizational Behavior and Human Decision Processes, 50 (2), 179–211.
   Web of Science ®Google Scholar
• AT INTERNET (2018), https://www.atinternet.com/en/glossary/branded-app/, June 29, 2019.
   Google Scholar
• Awad, Naveen F., and M.S. Krishnan (2006), “The Personalization Privacy Paradox: An Empirical Valuation of Information Transparency and the willingness to be profiled online for personalization,” MIS Quarterly, 30 (1), 13–28.
   Web of Science ®Google Scholar
• Bird, M., C. Channon, and A.S.C. Ehrenberg (1970), “Brand Image and Brand Usage,” Journal of Marketing Research, 7 (3), 307–314.
   Web of Science ®Google Scholar
• Bird, M., and A.S.C. Ehrenberg (1970), “Consumer Attitudes and Brand Usage,” Journal of the Market Research Society, 12, 233–247.
   Web of Science ®Google Scholar
• Calder, Bobby J., Edward C. Malthouse, and Ute Schaedel (2009), “An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness,” Journal of Interactive Marketing, 23 (4), 321–331.
   Web of Science ®Google Scholar
• Callon, Michel (1986), “The Sociology of an Actor–Network: The Case of the Electric Vehicle,” in Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World, Michel Callon, Arie Rip, and John Law, eds., London: MacMillan Press, 19–34.
   Google Scholar
• Cooper H. (2010), Research Synthesis and Meta-Analysis: A Step-By-Step Approach (Applied Social Research Methods), Vol. 2. Thousand Oaks, CA: Sage Publication.
   Google Scholar
• Davies Martin, and Tony Stone (eds.), (1995), Folk Psychology: The Theory of Mind Debate, Oxford, United Kingdom: Blackwell.
   Google Scholar
• Davis, Fred D., Richard P. Bagozzi, and Paul R. Warshaw (1989), “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, 35 (8), 982–1003.
   Web of Science ®Google Scholar
• Delone, W.H., and E. R. Mclean (1992), “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research, 3 (1), 1–95.
   Web of Science ®Google Scholar
• Denyer, David, and David Tranfield (2006), “Using Qualitative Research Synthesis to Build an Actionable Knowledge Base,” Management Decision, 44 (2), 213–227.
   Google Scholar
• Ehrenberg, A.S.C. (1969), “Towards an Integrated Theory of Consumer Behavior,” Journal of the Market Research Society, 11 (4), 305–337.
   Google Scholar
• Fehr, Beverley (1996), Friendship Processes, Thousand Oaks, CA: Sage.
   Google Scholar
• Feng, Yang, and Quan Xie (2019), “Privacy Concerns, Perceived Intrusiveness, and Privacy Controls: An Analysis of Virtual Try-On Apps,” Journal of Interactive Advertising, 19 (1), 43–57.
   Google Scholar
• Fournier, Susan (1998), “Consumers and Their Brands: Developing Relationship Theory in Consumer Research,” Journal of Consumer Research, 24 (4), 343–373.
   Web of Science ®Google Scholar
• Gabler, C.B., and K.E. Reynolds (2013), “Buy Now or Buy Later: The Effects of Scarcity and Discounts on Purchase Decisions,” Journal of Marketing Theory and Practice, 21 (4), 441–456.
   Google Scholar
• Giles, David C. (2002), “Parasocial Interaction: A Review of the Literature and a Model for Future Research,” Media Psychology, 4 (3), 279–305.
   Web of Science ®Google Scholar
• Goodhue, Dale L., and Ronald L. Thompson (1995), “Task-Technology Fit and Individual Performance,” MIS Quarterly, 19 (12), 213–236.
   Google Scholar
• Google Trends (n.d.), https://trends.google.com/trends/
   Google Scholar
• Gronroos, C. (1978), “A Service-Orientated Approach to Marketing of Services,” European Journal of Marketing, 12 (8), 588–601.
   Web of Science ®Google Scholar
• Higgins, E. Tory (2006), “Value from Hedonic Experience and Engagement,” Psychological Review, 113 (3), 439–460.
   PubMed Web of Science ®Google Scholar
• Hofacker, C.F., K. De Ruyter, N.H. Lurie, P. Manchanda, and J. Donaldson (2016), “Gamification and Mobile Marketing Effectiveness,” Journal of Interactive Marketing, 34, 25–36.
   Web of Science ®Google Scholar
• Interbrand (2016), Best Global Brands, https://www.interbrand.com/best-brands/best-global-brands/previous-years/2016/, January 21, 2019.
   Google Scholar
• Jun, S.P., H.S. Yoo, and S. Choi (2018), “Ten Years of Research Change Using Google Trends: From the Perspective of Big Data Utilizations and Applications,” Technological Forecasting and Social Change, 130, 69–87.
   Web of Science ®Google Scholar
• Katz, Elihu, Jay G. Blumler, and Michael Gurevitch (1973), “Uses and Gratifications Research,” Public Opinion Quarterly, 37 (4), 509–523.
   Web of Science ®Google Scholar
• Kaynak, Erdener, Jonathan Bloom, and Marius Leibold (1994), “Using the Delphi Technique to Predict Future Tourism Potential,” Marketing Intelligence and Planning, 12 (7), 18–29.
   Google Scholar
• Kerr, Gayle, and Charles Patti (2015), “Strategic IMC: From Abstract Concept to Marketing Management Tool,” Journal of Marketing Communications, 21 (5), 317–339.
   Google Scholar
• Latour, B. (1996), “On Actor–Network Theory: A Few Clarifications,” Soziale Welt, 47 (4), 369–381.
   Web of Science ®Google Scholar
• Levitas, Danielle (2017), “The App Economy Forecast: $6 Trillion in New Value,” App Annie, June 27, https://www.appannie.com/en/insights/market-data/app-economy-forecast-6-trillion-market-making/.
   Google Scholar
• Linstone, Harold A. (1978), “The Delphi Technique,” in Handbook of Futures Research, J. Fowlers, ed., Westport, CT: Greenwood Press, 273–300.
   Google Scholar
• Linstone, Harold A., and Murray Turoff (1975), The Delphi Method Techniques and Applications, Reading, MA: Addison-Wesley.
   Google Scholar
• Lusch, R.F., and S.L. Vargo (2014), Service-Dominant Logic: Premises, Perspectives, Possibilities, Cambridge, United Kingdom: Cambridge University Press.
   Google Scholar
• MacKenzie, Scott B., Richard J. Lutz, and George E. Belch (1986), “The Role of Attitude toward the Ad As a Mediator of Advertising Effectiveness: A Test of Competing Explanations,” Journal of Marketing Research, 23 (2), 130–143.
   Web of Science ®Google Scholar
• Markus, Hazel R., and Shinobu Kitayama (1991), “Culture and the Self: Implications for Cognition, Emotion, and Motivation,” Psychological Review, 98 (2), 224–253.
   Web of Science ®Google Scholar
• McPhee, W.N. (1963), Formal Theories of Mass Behavior, Glencoe, IL: The Free Press.
   Google Scholar
• Moon, B. (1995), “Paradigms in Migration Research: Exploring ‘Moorings’ As a Schema,” Progress in Human Geography, 19 (4), 504–524.
   PubMed Web of Science ®Google Scholar
• Newark-French, Charles (2011), “Mobile Apps Put the Web in Their Rear-View Mirror,” Flurry Blog, June 20, http://blog.flurry.com/bid/63907/Mobile-Apps-Put-the-Web-in-Their-Rear-view-Mirror/.
   Google Scholar
• Passikoff, R., and D.E. Schultz (2007), “Consumer Engagement—C MEEs: Cross Media Engagement Evaluations,” ADMAP, 61 (487), 31–34.
   Google Scholar
• Perro, J. (2017), “Mobile Apps: What’s a Good Retention Rate?,” Localytics, http://info.localytics.com/blog/mobile-apps-whats-a-good-retention-rate.
   Google Scholar
• Petty, R., J. Cacioppo, and D. Schumann (1983), “Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement,” Journal of Consumer Research, 10 (2), 135–146.
   Web of Science ®Google Scholar
• Piaget, Jean (1971), “The Theory of Stages in Cognitive Development,” in Measurement and Piaget, D. Green, M.P. Ford, and G.B. Flamer, eds., New York: McGraw Hill, 1–11.
   Google Scholar
• Rogers, Everett M. (1962), Diffusion of Innovations, 1st ed., New York, NY: Free Press.
   Google Scholar
• Romo, Zahaira González, Ruth S. Contreras Espinosa, and Irene García Medina (2016), “Branded Apps in Spain As a Means of Communicating Trends in Fashion,” International Journal of Interactive Mobile Technologies, 10 (2), 58–63.
   Google Scholar
• Rowe, G., and G. Wright (1999), “The Delphi Technique As a Forecasting Tool: Issues and Analysis,” International Journal of Forecasting, 15, 353–375.
   Web of Science ®Google Scholar
• Ryan, Richard M., and Edward L. Deci (2000), “Self Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being,” American Psychologist, 55 (1), 68–78.
   PubMed Web of Science ®Google Scholar
• Sheth, Jagdish N., Bruce I. Newman, and Barbara L. Gross (1991), “Why We Buy What We Buy: A Theory of Consumption Values,” Journal of Business Research, 22 (2), 159–170.
   Web of Science ®Google Scholar
• Statista (2018), https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/, April 10 to July 31, 2018.
   Google Scholar
• Sussman, Stephanie Watts, and Wendy Schneier Siegel (2003), “Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption,” Information Systems Research, 14 (1), 47–65.
   Web of Science ®Google Scholar
• Tajfel, Henri, and John C. Turner (1979), “An Integrative Theory of Intergroup Conflict,” in The Social Psychology of Inter-Group Relations, W.G. Austin and S. Worchel, eds., Monterey: CA: Brooks/Cole, 33–47.
   Google Scholar
• Tarute, Asta, Shahrokh Nikou, and Rimantas Gatautis (2017), “Mobile Application Driven Consumer Engagement,” Telematics and Informatics, 34 (4), 145–156.
   Web of Science ®Google Scholar
• Taylor, David G., and Michael Levin (2014), “Predicting Mobile App Usage for Purchasing and Information-Sharing,” International Journal of Retail and Distribution Management, 42 (8), 759–774.
   Google Scholar
• Tranfield, D., D. Denyer, and P. Smart (2003), “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review,” British Journal of Management, 14 (3), 207–222.
   Web of Science ®Google Scholar
• Venkatesh, V., M.G. Morris, G.B. Davis, and F.D. Davis (2003), “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, 27 (3), 425–478.
   Web of Science ®Google Scholar
• Wu, Linwan (2016), “Understanding the Impact of Media Engagement on the Perceived Value and Acceptance of Advertising within Mobile Social Networks,” Journal of Interactive Advertising, 16 (1), 59–73.
   Google Scholar
• Zaichkowsky, J.L. (1985), “Measuring the Involvement Construct,” Journal of Consumer Research, 12 (3), 341–352.
   Web of Science ®Google Scholar

Group B: 40 Mentioned Papers Based on Chosen Search Criteria

• Ahmed, Rahnuma, Fred Beard, and Doyle Yoon (2016), “Examining and Extending Advertising’s Dual Mediation Hypothesis to a Branded Mobile Phone App,” Journal of Interactive Advertising, 16 (2), 133–144.
   Google Scholar
• Alnawas, Ibrahim, and Faisal Aburub (2016), “The Effect of Benefits Generated from Interacting with Branded Mobile Apps on Consumer Satisfaction and Purchase Intentions,” Journal of Retailing and Consumer Services, 31, 313–322.
   Web of Science ®Google Scholar
• Baek, Tae Hyun, and Chan Yun Yoo (2018), “Branded App Usability: Conceptualization, Measurement, and Prediction of Consumer Loyalty,” Journal of Advertising, 47 (1), 70–82.
   Web of Science ®Google Scholar
• Baena, Verónica (2016), “Online and Mobile Marketing Strategies As Drivers of Brand Love in Sports Teams: Findings from Real Madrid,” International Journal of Sports Marketing and Sponsorship, 17 (3), 202–218.
   Web of Science ®Google Scholar
• Bellman, Steven, Robert F. Potter, Shiree Treleaven-Hassard, Jennifer A. Robinson, and Duane Varan (2011), “The Effectiveness of Branded Mobile Phone Apps,” Journal of Interactive Marketing, 25 (4), 191–200.
   Web of Science ®Google Scholar
• Bhave, Ketaki, Varsha Jain, and Subhadip Roy (2013), “Understanding the Orientation of Gen Y toward Mobile Applications and In-App Advertising in India,” International Journal of Mobile Marketing, 8 (1), 62–74.
   Google Scholar
• Budd, Lucy, and Tim Vorley (2013), “Airlines, Apps, and Business Travel: A Critical Examination,” Research in Transportation Business and Management, 9, 41–49.
   Google Scholar
• Chen, Yi-Ru Regina (2017), “Perceived Values of Branded Mobile Media, Consumer Engagement, Business-Consumer Relationship Quality, and Purchase Intention: A Study of WeChat in China,” Public Relations Review, 43 (5), 945–954.
   Web of Science ®Google Scholar
• Choong, Peggy, Paul S. Richardson, Paul Sauer, and Alyssa Fazio (2016), “Leveraging the Power of Branded Apps: An Exploratory Study of Salient Performance,” Journal of Applied Business and Economics, 18 (7), 53–64.
   Google Scholar
• Confos, Nicolla, and Teresa Davis (2016), “Young Consumer-Brand Relationship Building Potential Using Digital Marketing,” European Journal of Marketing, 50 (11), 1993–2017.
   Web of Science ®Google Scholar
• Fang, Yu-Hui (2017a), “Beyond the Usefulness of Branded Applications: Insights from Consumer–Brand Engagement and Self-construal Perspectives,” Psychology and Marketing, 34 (1), 40–58.
   Web of Science ®Google Scholar
• Fang, Yu-Hui (2017b), “Exploring Task-Service Fit and Usefulness on Branded Applications Continuance,” Journal of Services Marketing, 31 (6), 574–588.
   Web of Science ®Google Scholar
• Fang, Yu-Hui (2019), “An App a Day Keeps a Customer Connected: Explicating Loyalty to Brands and Branded Applications through the Lens of Affordance and Service-Dominant Logic,” Information and Management, 56 (3), 377–391.
   Web of Science ®Google Scholar
• Gill, Manpreet, Shrihari Sridhar, and Rajdeep Grewal (2017), “Return on Engagement Initiatives: A Study of a Business-to-Business Mobile App,” Journal of Marketing, 81 (4), 45–66.
   Web of Science ®Google Scholar
• Gosling, Victoria, Garry Crawford, Gaynor Bagnall, and Ben Light (2016), “Branded App Implementation at the London Symphony Orchestra,” Arts and the Market, 6 (1), 2–16.
   Web of Science ®Google Scholar
• Jin, Chang-Hyun (2016), “The Effects of Mental Simulations, Innovativeness on Intention to Adopt Brand Application,” Computers in Human Behavior, 54 (January), 682–690.
   Web of Science ®Google Scholar
• Key, Thomas Martin (2017), “Domains of Digital Marketing Channels in the Sharing Economy,” Journal of Marketing Channels, 24 (1–2), 27–38.
   Web of Science ®Google Scholar
• Kim, Eunice, Jhih-Syuan Lin, and Yongjun Sung (2013), “To App or Not to App: Engaging Consumers via Branded Mobile Apps,” Journal of Interactive Advertising, 13 (1), 53–65.
   Google Scholar
• Kim, Sang Chon, Doyle Yoon, and Eun Kyoung Han (2016), “Antecedents of Mobile App Usage among Smartphone Users,” Journal of Marketing Communications, 22 (6), 653–670.
   Google Scholar
• Kim, Seeun, and Tae H. Baek (2018), “Examining the Antecedents and Consequences of Mobile App Engagement,” Telematics and Informatics, 35 (1), 148–158.
   Web of Science ®Google Scholar
• Kim, Su Jung, Rebecca Jen-Hui Wang, and Edward C. Malthouse (2015), “The Effects of Adopting and Using a Brand’s Mobile Application on Customers’ Subsequent Purchase Behavior,” Journal of Interactive Marketing, 31 (August), 28–41.
   Web of Science ®Google Scholar
• Lee, Seonjeong (Ally) (2018), “Enhancing Customers’ Continued Mobile App Use in the Service Industry,” Journal of Services Marketing, 32 (6), 680–691.
   Web of Science ®Google Scholar
• Li, Chia-Ying (2018), “Consumer Behavior in Switching between Membership Cards and Mobile Applications: The Case of Starbucks,” Computers in Human Behavior, 84, 171–184.
   Web of Science ®Google Scholar
• Linnhoff, Stefan, and Katherine Taken Smith (2017), “An Examination of Mobile App Usage and the User’s Life Satisfaction,” Journal of Strategic Marketing, 25 (7), 581–617.
   Web of Science ®Google Scholar
• Magrath, Victoria, and Helen McCormick (2013), “Branding Design Elements of Mobile Fashion Retail Apps,” Journal of Fashion Marketing and Management: An International Journal, 17 (1), 98–114.
   Google Scholar
• McLean, Graeme (2018), “Examining the Determinants and Outcomes of Mobile App Engagement—A Longitudinal Perspective,” Computers in Human Behavior, 84, 392–403.
   Web of Science ®Google Scholar
• McRae, Eois, Joseph Carrabis, Susan Carrabis, and Stephane Hamel (2013), “WANT TO BE LOVED? GO MOBILE!,” International Journal of Mobile Marketing, 8 (2), 55–66.
   Google Scholar
• Morosan, Cristian, and Agnes DeFranco (2016), “Modeling Guests’ Intentions to Use Mobile Apps in Hotels: The Roles of Personalization, Privacy, and Involvement,” International Journal of Contemporary Hospitality Management, 28 (9), 1968–1991.
   Web of Science ®Google Scholar
• Muzellec, Laurent, Florence Feenstra, Brigitte de Faultrier, and Jacques Boulay (2016), “Children’s Experiences and Parents’ Perceptions of Retailers’ Mobile Applications,” International Journal of Retail and Distribution Management, 44 (11), 1118–1131.
   Web of Science ®Google Scholar
• Peng, K.F., Y. Chen, and K.W. Wen (2014), “Brand Relationship, Consumption Values, and Branded App Adoption,” Industrial Management and Data Systems, 114 (8), 1131–1143.
   Web of Science ®Google Scholar
• Sarkar, Abhigyan, Juhi Gahlot Sarkar, S. Sreejesh, and M.R. Anusree (2018), “A Qualitative Investigation of e-Tail Brand Affect,” Marketing Intelligence and Planning, 36 (3), 365–380.
   Web of Science ®Google Scholar
• Scholz, Joachim, and Katherine Duffy (2018), “We ARe at Home: How Augmented Reality Reshapes Mobile Marketing and Consumer-Brand Relationships,” Journal of Retailing and Consumer Services, 44 (September), 11–23.
   Web of Science ®Google Scholar
• Seitz, Victoria A., and Nada M. Aldebasi (2016), “The Effectiveness of Branded Mobile Apps on Users’ Brand Attitudes and Purchase Intentions,” Review of Economic and Business Studies, 9 (1), 141–154.
   Google Scholar
• Shankar, Venkatesh, Mirella Kleijnen, Suresh Ramanathan, Ross Rizley, Steve Holland, and Shawn Morrissey (2016), “Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues,” Journal of Interactive Marketing, 34 (May), 37–48.
   Web of Science ®Google Scholar
• Stocchi, Lara, Carolina Guerini, and Nina Michaelidou (2017), “When Are Apps Worth Paying For? How Marketers Can Analyze,” Journal of Advertising Research, 57 (3), 260–271.
   Web of Science ®Google Scholar
• Tseng, Timmy H., and Crystal T. Lee (2018), “Facilitation of Consumer Loyalty toward Branded Applications: The Dual-Route Perspective,” Telematics and Informatics, 35 (5), 1297–1309.
   Web of Science ®Google Scholar
• Wang, Rebecca Jen-Hui, Edward C. Malthouse, and Lakshman Krishnamurthi (2015), “On the Go: How Mobile Shopping Affects Customer Purchase Behavior,” Journal of Retailing, 91 (2), 217–234.
   Web of Science ®Google Scholar
• Yang, Byunghwa (2016), “A Link between Consumer Empathy and Brand Attachment on Branded Mobile Apps: The Moderating Effect of Ideal Self-Congruence,” Indian Journal of Science and Technology, 9 (25), 1–9.
   Google Scholar
• Yang, Hongwei “Chris” (2013), “Bon Appétit for Apps: Young American Consumers’ Acceptance of Mobile Applications,” Journal of Computer Information Systems, 53 (3), 85–96.
   Web of Science ®Google Scholar
• Zhao, Zhenzhen, and Christine Balague (2015), “Designing Branded Mobile Apps: Fundamentals and Recommendations,” Business Horizons, 58 (3), 305–315.
   Web of Science ®Google Scholar