The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Marketing Agility: The Concept, Antecedents, and a Research Agenda
Open accessAbstract
Changes in the way customers shop, accompanied by an explosion of customer touchpoints and fast-changing competitive and technological dynamics, have led to an increased emphasis on agile marketing. The objective of this article is to conceptualize and investigate the emerging concept of marketing agility. The authors synthesize the literature from marketing and allied disciplines and insights from in-depth interviews with 22 senior managers. Marketing agility is defined as the extent to which an entity rapidly iterates between making sense of the market and executing marketing decisions to adapt to the market. It is conceptualized as occurring across different organizational levels and shown to be distinct from related concepts in marketing and allied fields. The authors highlight the firm challenges in executing marketing agility, including ensuring brand consistency, scaling agility across the marketing ecosystem, managing data privacy concerns, pursuing marketing agility as a fad, and hiring marketing leaders. The authors identify the antecedents of marketing agility at the organizational, team, marketing leadership, and employee levels and provide a roadmap for future research. The authors caution that marketing agility may not be well-suited for all firms and all marketing activities.
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Cites
Assessing coping strategies: A theoretically based approach.
Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.2.267 · Cited by 11,507
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847 · cited 1×
“Marketing responses to false brand stories or rumors need to be swift, as false news tends to propagate faster in a digital world due to its greater perceived novelty (Vosoughi, Roy, and Aral 2018).”
BackgroundValidation of the five-factor model of personality across instruments and observers.
McCrae, R. R., & Costa, P. T. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.1.81 · Cited by 6,404
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
Understanding dynamic capabilities
Winter, S. G. (2003) · Strategic Management Journal · doi:10.1002/smj.318 · Cited by 5,315
Hurley, R. F., & Hult, G. T. M. (1998) · Journal of Marketing · doi:10.1177/002224299806200303 · Cited by 3,971
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000033 · Cited by 3,232
Barrick, M. R., Mount, M. K., & Judge, T. A. (2001) · International Journal of Selection and Assessment · doi:10.1111/1468-2389.00160 · Cited by 2,356
Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901
Sensemaking in organizations: Taking stock and moving forward
Maitlis, S., & Christianson, M. (2014) · Academy of Management Annals · doi:10.5465/19416520.2014.873177 · Cited by 1,764
Cited by
Mobile payment adoption in Latin America
Bailey, A. A., Bonifield, C. M., Arias, A., & Villegas, J. (2022) · Journal of Services Marketing · doi:10.1108/jsm-04-2021-0130 · Cited by 78
Khairy, H. A., Baquero, A., & Al-Romeedy, B. S. (2023) · Sustainability · doi:10.3390/su151914337 · Cited by 61
The Impact of Quality of Big Data Marketing Analytics (BDMA) on the Market and Financial Performance
Haverila, M., Haverila, K. C., Mohiuddin, M., & Su, Z. (2022) · Journal of Global Information Management · doi:10.4018/jgim.315646 · Cited by 20
Metadata
- Authors
- Kalaignanam, K., Tuli, K. R., Kushwaha, T., Lee, L., & Gal, D.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2020-09-14
- Volume
- 85
- Issue
- 1
- Pages
- 35-58
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W3086813946
- Cited by
- 314
- References
- 17
- FWCI
- 34.82
- Type
- journal article
- Language
- en
- Open access
- green
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