CoChat
Sign Up
Cited by 1Consumer Retail Behavior StudiesConsumer Behavior and Marketing InfluenceCustomer Service Quality and Loyalty

Impact of Customers Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender

Open access
Rehman, Mehak·2022·Business and Economics Research Journal
DOI 10.20409/berj.2022.385
Open this paper in CoChat — free accountOpen PDF

Abstract

This study aims to explore and examine the impact of various influencers on customers' attitudes towards and intentions to shop at brick-and-mortar (B&M) stores.A quantitative survey approach was adopted to collect the data.Data were collected from 342 consumers using both an online and a face-to-face approach.The data were analysed using the structural equation modelling statistical technique.The findings suggest that customers' perception of the quality of the products, social influence, enjoyment, atmosphere of B&M stores, and tangibility positively impact customers' attitudes towards and intention to shop at B&M stores.This research contributes to the theory of consumption values, the theory of reasoned action, and the consumer behaviour literature.Based on the study findings, B&M stores are recommended to provide emotional values to customers by providing a friendly and pleasant atmosphere to their customers to enhance their intention to shop at B&M stores.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.20409/berj.2022.385

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 117

  1. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683.
  2. Ajzen, I., & Fishbein, M. (1970). The prediction of behavior from attitudinal and normative variables. Journal of Experimental Social Psychology, 6(4), 466-487.
  3. Alba, J. W., & Williams, E. F. (2013). Pleasure principles: A review of research on hedonic consumption. Journal ofConsumer Psychology, 23(1), 2-18.
  4. Alryalat, M. A. A., Rana, N. P., & Dwivedi, Y. K. (2020). Citizen's adoption of an e-government system: Validating the extended theory of reasoned action (TRA). In Open government: Concepts, Methodologies, Tools, and Applications (pp. 651-674). IGI Global.
  5. Ashraf, H. A., Rehman, M., & Maseeh, H. I. (2021). Impact of YouTube advertising on customers' purchase intention. Orient Research Journal of Social Sciences, 6(2), 19-33.
  6. Altunel, M., & Koçak, Ö. (2017). The roles of subjective vitality, involvement, experience quality, and satisfaction in tourists' behavioral intentions. European Journal of Tourism Research, 16, 233-251.
  7. Amri, S., & Prihandono, D. (2019). Influence lifestyle, consumer ethnocentrism, product quality on purchase decision through purchase intention. Management Analysis Journal, 8(1), 25-38.
  8. M. Rehman Anderson, J. C., & Narus, J. A. (1998). Business marketing: Understand What Customers Value. Harvard Business Review, 76, 53-67.
  9. Anshu, K., Gaur, L., & Singh, G. (2022). Impact of customer experience on attitude and repurchase intention in online grocery retailing: A moderation mechanism of value Co-creation. Journal of Retailing and Consumer Services, 64, 102798.
  10. Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77-95.
  11. Ashaduzzaman, M., Jebarajakirthy, C., Das, M., & Shankar, A. (2021). Acculturation and apparel store loyalty among immigrants in Western countries. Journal of Marketing Management, 37(5-6), 488-519.
  12. Atulkar, S., & Kesari, B. (2018). Impulse buying: A consumer trait prospective in context of central India. Global Business Review, 19(2), 477-493.
  13. Bäckström, K., & Johansson, U. (2006). Creating and consuming experiences in retail store environments: Comparing retailer and consumer perspectives. Journal of Retailing and Consumer Services, 13(6), 417-430.
  14. Baek, E., Choo, H. J., & Lee, S. H. M. (2018). Using warmth as the visual design of a store: Intimacy, relational needs, and approach intentions. Journal of Business Research, 88, 91-101.
  15. Bagozzi, R. P., Baumgartner, H., & Yi, Y. (1992). State versus action orientation and the theory of reasoned action: An application to coupon usage. Journal of Consumer Research, 18(4), 505-518.
  16. Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120-141.
  17. Bao, Y., Bao, Y., & Sheng, S. (2011). Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation. Journal of Business Research, 64(2), 220-226.
  18. Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473-481.
  19. Belanche, D., Casaló, L. V., Flavián, M., & Ibáñez-Sánchez, S. (2021). Building influencers' credibility on Instagram: Effects on followers' attitudes and behavioral responses toward the influencer. Journal of Retailing and Consumer Services, 61, 102585.
  20. Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E-commerce trends during Covid-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452.
  21. Bock, G. W., Zmud, R. W., Kim, Y. G., & Lee, J. N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87- 111.
  22. Booth, A., & Nolen, P. (2012). Choosing to compete: How different are girls and boys? Journal of Economic Behavior & Organization, 81(2), 542-555.
  23. Brusdal, R., & Lavik, R. (2005). Young hedonists and rational grown ups? A closer look at consumer identities in Norway. World Leisure Journal, 47(4), 12-22.
  24. Buser, T., Niederle, M., & Oosterbeek, H. (2014). Gender, competitiveness, and career choices. The Quarterly Journal of Economics, 129(3), 1409-1447.
  25. Campbell, C. (1994). Consuming goods and the good of consuming. Critical Review, 8(4), 503-520.
  26. Caterall, M. A., & Maclaran, P. B. (2001). Gender perspectives in consumer behaviour: An overview and future directions. The Marketing Review, 2(4), 405-425.
  27. Cham, T. H., Lim, Y. M., & Sigala, M. (2021). Marketing and social influences, hospital branding, and medical tourists' behavioural intention: Before-and after-service consumption perspective. International Journal of Tourism Research. https://doi.org/10.1002/jtr.2489 · DOI
  28. Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209-218.
  29. Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255. Business and Economics Research Journal, 13(3):483-503, 2022 Impact of Customers' Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender
  30. Clark, M. A., & Wood, R. C. (1999). Consumer loyalty in the restaurant industry: A preliminary exploration of the issues. British Food Journal, 101(4), 317-327.
  31. Custers, P. J., De Kort, Y., IJsselsteijn, W. A., & De Kruiff, M. (2010). Lighting in retail environments: Atmosphere perception in the real world. Lighting Research & Technology, 42(3), 331-343.
  32. Das, M., & Jebarajakirthy, C. (2020). Impact of acculturation to western culture (AWC) on western fashion luxury consumption among Gen-Y consumers in the Asia-Pacific region. Journal of Retailing and Consumer Services, 56, 102179.
  33. Davis, R., Lang, B., & San Diego, J. (2014). How gender affects the relationship between hedonic shopping motivation and purchase intentions? Journal of Consumer Behaviour, 13(1), 18-30.
  34. Degirmenci, K. (2020). Mobile users' information privacy concerns and the role of app permission requests. International Journal of Information Management, 50, 261-272.
  35. Dittmar, H. (2005). Compulsive buying behavior-a growing concern? An empirical exploration of the role of gender, age, and materialism. British Journal of Psychology, 96(4), 467-491.
  36. Dodds, W. B. (1999). Managing customer value. Mid-American Journal of Business, 14(1), 13-22.
  37. Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319.
  38. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
  39. Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addison-Wesley.
  40. Fishben, & Ajzen. (1980). Understanding attitude and predicting social behavior. Prentice Hall. New York.
  41. Fitzmaurice, J. (2005). Incorporating consumers' motivations into the theory of reasoned action. Psychology & Marketing, 22(11), 911-929.
  42. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  43. Freyssinier, J. P., Frering, D., Taylor, J., Narendran, N., & Rizzo, P. (2006). Reducing lighting energy use in retail display windows. Paper presented at the Sixth International Conference on Solid State Lighting.
  44. Garg, P., & Joshi, R. (2018). Purchase intention of "halal" brands in India: The mediating effect of attitude. Journal of Islamic Marketing, 9(3), 683-694.
  45. Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1-6.
  46. Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
  47. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis. Upper Saddle River: Prentice Hall.
  48. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
  49. Hernández, B., Jiménez, J., & Martín, M. J. (2011). Age, gender and income: do they really moderate online shopping behaviour? Online Information Review, 35(1), 113-133.
  50. Hira, T. K., & Mugenda, O. (2000). Gender differences in financial perceptions, behaviors and satisfaction. Journal of Financial Planning-Denver, 13(2), 86-93.
  51. Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.
  52. Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140.
  53. Holdack, E., Lurie-Stoyanov, K., & Fromme, H. F. (2020). The role of perceived enjoyment and perceived informativeness in assessing the acceptance of AR wearables. Journal of Retailing and Consumer Services, 102259.
  54. M. Rehman Hsiao, K. L., & Chen, C. C. (2018). What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value. Telematics and Informatics, 35(1), 103-113.
  55. Hultman, M., Kazeminia, A., & Ghasemi, V. (2015). Intention to visit and willingness to pay premium for ecotourism: The impact of attitude, materialism, and motivation. Journal of Business Research, 68(9), 1854-1861.
  56. Jebarajakirthy, C., & Das, M. (2020). How self-construal drives intention for status consumption: A moderated mediated mechanism. Journal of Retailing and Consumer Services, 55(C).
  57. Jebarajakirthy, C., & Lobo, A. (2015). A study investigating attitudinal perceptions of microcredit services and their relevant drivers in bottom of pyramid market segments. Journal of Retailing and Consumer Services, 23, 39-48.
  58. Jebarajakirthy, C., Maseeh, H. I., Morshed, Z., Shankar, A., Arli, D., & Pentecost, R. (2021). Mobile Advertising: A systematic literature review and future research agenda. International Journal of Consumer Studies, 45(6), 1258- 1291.
  59. Jiang, Z., & Benbasat, I. (2004). Virtual product experience: Effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping. Journal of Management Information Systems, 21(3), 111- 147.
  60. Kaiser, H. F., & Rice, J. (1974). Little Jiffy, Mark Iv. Educational and Psychological Measurement, 34(1), 111-117.
  61. Karjaluoto, H., Glavee-Geo, R., Ramdhony, D., Shaikh, A. A., & Hurpaul, A. (2021). Consumption values and mobile banking services: Understanding the urban-rural dichotomy in a developing economy. International Journal of Bank Marketing, 39(2), 272-293.
  62. Karnowski, V., Leonhard, L., & Kümpel, A. S. (2018). Why users share the news: A theory of reasoned action-based study on the antecedents of news-sharing behavior. Communication Research Reports, 35(2), 91-100.
  63. Kiatkawsin, K., & Han, H. (2017). An alternative interpretation of attitude and extension of the value-attitude-behavior hierarchy: The destination attributes of Chiang Mai, Thailand. Asia Pacific Journal of Tourism Research, 22(5), 481-500.
  64. Kim, J. E., & Kim, J. (2012). Human factors in retail environments: A review. International Journal of Retail & Distribution Management, 40(11), 818-841.
  65. Kleijnen, M., Lee, N., & Wetzels, M. (2009). An exploration of consumer resistance to innovation and its antecedents. Journal of Economic Psychology, 30(3), 344-357.
  66. Laroche, M., Bergeron, J., & Goutaland, C. (2001). A three-dimensional scale of intangibility. Journal of Service Research, 4(1), 26-38.
  67. Laroche, M., Nepomuceno, M. V., & Richard, M. O. (2010). How do involvement and product knowledge affect the relationship between intangibility and perceived risk for brands and product categories? Journal of Consumer Marketing, 27(3), 197-210.
  68. Laroche, M., Yang, Z., McDougall, G. H., & Bergeron, J. (2005). Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences. Journal of Retailing, 81(4), 251-267.
  69. Law, A. K., Hui, Y., & Zhao, X. (2004). Modeling repurchase frequency and customer satisfaction for fast food outlets. International Journal of Quality & Reliability Management, 21(5), 545-563.
  70. Lee, J. E., Goh, M. L., & Noor, M. N. B. M. (2019). Understanding purchase intention of university students towards skin care products. PSU Research Review, 3(3), 161-178.
  71. Lee, M., Karpova, E., & Baytar, F. (2019). The effects of information on young consumers' attitudes and purchase intentions of fashion products made of fur, leather, and wool. Journal of Global Fashion Marketing, 10(2), 177- 193.
  72. Lynn, R., & Martin, T. (1997). Gender differences in extraversion, neuroticism, and psychoticism in 37 nations. The Journal of Social Psychology, 137(3), 369-373.
  73. Mansour, J. S., & Ariffin, A. A. M. (2017). The effects of local hospitality, commercial hospitality and experience quality on behavioral intention in cultural heritage tourism. Journal of Quality Assurance in Hospitality & Tourism, 18(2), 149-172.
  74. Maseeh, H. I. (2019). Digital mobile advertising: A Pitching research letter. Journal of Accounting and Management Information Systems, 18(4), 640-646. Business and Economics Research Journal, 13(3):483-503, 2022 Impact of Customers' Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender
  75. Maseeh, H. I., Jebarajakirthy, C., Pentecost, R., Arli, D., Weaven, S., & Ashaduzzaman, M. (2021b). Privacy concerns in e- commerce: A multilevel meta-analysis. Psychology & Marketing, 38(10), 1779-1798.
  76. Matsuo, M., Minami, C., & Matsuyama, T. (2018). Social influence on innovation resistance in internet banking services. Journal of Retailing and Consumer Services, 45, 42-51.
  77. McCorkle, D. E. (1990). The role of perceived risk in mail order catalog shopping. Journal of Direct Marketing, 4(4), 26- 35.
  78. McDougall, G. H. (1987). Determinants of ease of evaluation: Products and services compared. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 4(4), 426-446.
  79. McDougall, G. H., & Snetsinger, D. W. (1990). The intangibility of services: Measurement and competitive perspectives. Journal of Services Marketing, 4(4), 27-40.
  80. Monroe, K. B. (1990). Pricing: Making profitable decisions. New York: McGraw-Hill,
  81. Mooi, E., & Sarstedt, M. (2010). A short guide to market research: The process, data, and methods using IBM SPSS statistics: Springer Berlin.
  82. Mueller, A., Claes, L., Mitchell, J. E., Faber, R. J., Fischer, J., & de Zwaan, M. (2011). Does compulsive buying differ between male and female students? Personality and Individual Differences, 50(8), 1309-1312.
  83. Nepomuceno, M. V., Laroche, M., & Richard, M.-O. (2014). How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns. Journal of Retailing and Consumer Services, 21(4), 619-629.
  84. Nepomuceno, M. V., Laroche, M., Richard, M. O., & Eggert, A. (2012). Relationship between intangibility and perceived risk: Moderating effect of privacy, system security and general security concerns. Journal of Consumer Marketing, 29, 176-189.
  85. Olbrich, R., Jansen, H. C., & Hundt, M. (2017). Effects of pricing strategies and product quality on private label and national brand performance. Journal of Retailing and Consumer Services, 34, 294-301.
  86. Orth, U. R., & Wirtz, J. (2014). Consumer processing of interior service environments: The interplay among visual complexity, processing fluency, and attractiveness. Journal of Service Research, 17(3), 296-309.
  87. Qin, H., Prybutok, V. R., & Zhao, Q. (2010). Perceived service quality in fast-food restaurants: Empirical evidence from China. International Journal of Quality & Reliability Management, 27(4), 424-437.
  88. Ratnasari, R. T., Gunawan, S., Septiarini, D. F., Rusmita, S. A., & Kirana, K. C. (2020). Customer satisfaction between perceptions of environment destination brand and behavioural intention. International Journal of Innovation, Creativity and Change, 10(12), 472-487.
  89. Rayport, J. F., & Jaworski, B. J. (2016). Introduction to e-commerce. McGraw-Hill Irwin MarketspaceU.
  90. Rehman, M., & Maseeh, H. I. (2020). Impact of YouTube advertising on purchase intention: A Pitch. Accounting and Management Information Systems, 19(4), 805-811.
  91. Ruiz-Alba, J. L., Nazarian, A., Rodríguez-Molina, M. A., & Andreu, L. (2019). Museum visitors' heterogeneity and experience processing. International Journal of Hospitality Management, 78, 131-141.
  92. Shergill, G. S., & Chen, Z. (2005). Web-based shopping: Consumers'attitudes towards online shopping in New Zealand. Journal of Electronic Commerce Research, 6(2), 78.
  93. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.
  94. Shiau, W. L., & Luo, M. M. (2013). Continuance intention of blog users: The impact of perceived enjoyment, habit, user involvement and blogging time. Behaviour & Information Technology, 32(6), 570-583.
  95. Shurchkov, O. (2012). Under pressure: Gender differences in output quality and quantity under competition and time constraints. Journal of the European Economic Association, 10(5), 1189-1213.
  96. Slade, E. L., Dwivedi, Y., Piercy, N., & Williams, M. (2015). Modeling consumers' adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32(8), 860-873.
  97. M. Rehman Sriyakul, T., Jermsittiparsert, K., Joemsittiprasert, W., & Pamornmast, C. (2019). Does store environment impact retail loyalty intention? A case of Indonesian retail outlets. International Journal of Innovation, Creativity and Change, 10(1), 1-20.
  98. Statista. (2021). Net revenue of Amazon from 1st quarter 2007 to 1st quarter 2022. Retrieved from https://www.statista.com/statistics/273963/quarterly-revenue-of-amazoncom/ (Access Date: 23.02.2022).
  99. Suhartanto, D. (2019). Predicting behavioural intention toward Islamic bank: a multi-group analysis approach. Journal of Islamic Marketing, 10(4), 1091-1103.
  100. Sulek, J. M., & Hensley, R. L. (2004). The relative importance of food, atmosphere, and fairness of wait: The case of a full-service restaurant. Cornell Hotel and Restaurant Administration Quarterly, 45(3), 235-247.
  101. Sutter, M., & Glätzle-Rützler, D. (2015). Gender differences in the willingness to compete emerge early in life and persist. Management Science, 61(10), 2339-2354.
  102. Swinyard, W. R., & Smith, S. M. (2003). Why people (don't) shop online: A lifestyle study of the internet consumer. Psychology & Marketing, 20(7), 567-597.
  103. Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Pearson Boston, MA.
  104. Tarka, P., Kukar-Kinney, M., & Harnish, R. J. (2022). Consumers' personality and compulsive buying behavior: The role of hedonistic shopping experiences and gender in mediating-moderating relationships. Journal of Retailing and Consumer Services, 64, 102802.
  105. Tse, Y. K., Zhang, M., Zeng, W., & Ma, J. (2021). Perception of supply chain quality risk: Understanding the moderation role of supply market thinness. Journal of Business Research, 122, 822-834.
  106. Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549.
  107. Vázquez-Suárez, L., Mejía-Vásquez, P. R., da Silva, S. S., & Sánchez-Gómez, R. (2022). Gender's moderating role in the relationship between organisational form and performance in the Spanish supermarket industry. Journal of Retailing and Consumer Services, 64, 102757.
  108. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  109. Verhagen, T., Vonkeman, C., & van Dolen, W. (2016). Making online products more tangible: The effect of product presentation formats on product evaluations. Cyberpsychology, Behavior, and Social Networking, 19(7), 460-464.
  110. Wagner, G., Schramm-Klein, H., & Steinmann, S. (2020). Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment. Journal of Business Research, 107, 256-270.
  111. Wai, K., Dastane, O., Johari, Z., & Ismail, N. B. (2019). Perceived risk factors affecting consumers' online shopping behaviour. The Journal of Asian Finance, Economics and Business, 6(4), 246-260.
  112. Wu, A. D., Li, Z., & Zumbo, B. D. (2007). Decoding the meaning of factorial invariance and updating the practice of multi- group confirmatory factor analysis: A demonstration with TIMSS data. Practical Assessment, Research, and Evaluation, 12(1), 3.
  113. Xiao, M. (2020). Factors influencing eSports viewership: An approach based on the theory of reasoned action. Communication & Sport, 8(1), 92-122.
  114. Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: a structural model. Tourism Management, 26(1), 45-56.
  115. Yuksel, A. (2004). Shopping experience evaluation: A case of domestic and international visitors. Tourism Management, 25(6), 751-759.
  116. Zafar, A. U., Shen, J., Ashfaq, M., & Shahzad, M. (2021). Social media and sustainable purchasing attitude: Role of trust in social media and environmental effectiveness. Journal of Retailing and Consumer Services, 63, 102751.
  117. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.

Authors
Rehman, M.
Affiliations
University of the Punjab (PK)
Corresponding author
Rehman, Mehak
ORCID
Rehman, Mehak
Venue
Business and Economics Research Journal
Publisher
Business and Economics Research Journal
Published
2022-07-25
ISSN
1309-2448 (ISSN-L)
DOI
10.20409/berj.2022.385
OpenAlex
W4286770722
Cited by
1
References
3
Citations by year
2024: 1
FWCI
0.20
Type
journal article
Language
en
Open access
Locations
  • Business and Economics Research Journal (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords
brick-and-mortar retail, consumer attitudes, purchase intention, gender differences, moderating effect of gender, perceived product quality, social influence, store atmosphere, tangibility, emotional value, consumption values, theory of reasoned action, consumer behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review