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Relevant bibliographies by topics / Expectation confirmation

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Journal articles

Academic literature on the topic 'Expectation confirmation'

Author: Grafiati

Published: 23 February 2024

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Journal articles on the topic "Expectation confirmation"

1

Oh, Joon-Hee, and Judy Ma. "Multi-stage expectation-confirmation framework for salespeople expectation management." Journal of Business & Industrial Marketing 33, no. 8 (2018): 1165–75. http://dx.doi.org/10.1108/jbim-01-2018-0027.

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Purpose Despite its significance in salespeople management, salespeople expectation management has received little attention in the literature, especially in the industrial marketing literature. In response, the purpose of this study is to leverage the expectation confirmation theory to present a conceptual framework that provides an effective tool for salespeople expectation management. Design/methodology/approach This study first explores the application and strategic implications of expectation-confirmation theory in salespeople expectation management and theorizes that salespeople establis

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2

Nair, Priya. "Determinants of Satisfaction and Deep Structure Usage of Post-acceptance Learning Management Systems by Malaysian Higher Education Lecturers." International Journal of Information and Education Technology 12, no. 7 (2022): 599–608. http://dx.doi.org/10.18178/ijiet.2022.12.7.1659.

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This study investigates factors influencing satisfaction and deep structure usage of Learning Management Systems (LMS) using a revised expectation-confirmation model of information system continuance. It addresses the gaps in the existing literature that primarily focused on behavioral intention in the acceptance stage instead of deep structure usage in the post-acceptance stage. Deep structure usage refers to using LMS features to support an underlying teaching task. The study population consists of 54 lecturers in Malaysian private universities in the post-acceptance stage of LMS implementat

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3

Brown, Susan A., Viswanath Venkatesh, and Sandeep Goyal. "Expectation Confirmation in Technology Use." Information Systems Research 23, no. 2 (2012): 474–87. http://dx.doi.org/10.1287/isre.1110.0357.

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Siguaw, Judy A., Xiaojing Sheng, and Penny M. Simpson. "Biopsychosocial and Retirement Factors Influencing Satisfaction With Life: New Perspectives." International Journal of Aging and Human Development 85, no. 4 (2017): 332–53. http://dx.doi.org/10.1177/0091415016685833.

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Founded on expectation confirmation theory and a resource perspective, this research examines the impact of retiree resources, retirement planning, conditions of work exit, and confirmation of retirement expectations on satisfaction with life in retirement. The study of 543 retirees found significant effects of retiree resources (i.e., self-efficacy, health, and income), confirmation of retirement expectations, ageism, retirement planning, and conditions of exit on retirees’ satisfaction with life. The study also showed that self-efficacy, activity participation, health, income, ageism, and re

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5

Eveleth, Daniel M., Lori J. Baker-Eveleth, and Robert W. Stone. "Potential applicants’ expectation-confirmation and intentions." Computers in Human Behavior 44 (March 2015): 183–90. http://dx.doi.org/10.1016/j.chb.2014.11.025.

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6

Gu, Wei, Ying Xu, and Zeng-Jun Sun. "Does MOOC Quality Affect Users’ Continuance Intention? Based on an Integrated Model." Sustainability 13, no. 22 (2021): 12536. http://dx.doi.org/10.3390/su132212536.

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Massive open online course (MOOC) is an innovative educational model that has attracted widespread attention in recent years. Despite a growing number of registered users, many have given up continuously using MOOC platforms after the first-time user experience; thus, a high dropout rate has severely hindered the sustainable development of MOOC platforms. To address the problem, this study started with the quality factors of MOOC platforms and the confirmation of user expectations by integrating the D&M ISS model and the expectation confirmation model into one, with the goal of identifying

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7

Wang, Chaohui, Juan Liu, and Tingting Zhang. "‘What if my experience was not what I expected?’: Examining expectation-experience (dis)confirmation effects in China’s rural destinations." Journal of Vacation Marketing 27, no. 4 (2021): 365–84. http://dx.doi.org/10.1177/13567667211006763.

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This study (1) compares the tourists’ expectation and experience in China’s rural destinations, and (2) examines the (dis)confirmation effects of such comparisons on tourists’ assessments of overall travel experience, memorability, and authenticity. A total of 1323 valid responses were analyzed to test the proposed model. PLS-SEM results demonstrated that tourists’ expectation-experience (dis)confirmation had a main effect on travel experience, memorability, and authenticity. Moreover, the results from pairwise comparisons indicated that, travelers with high expectations and a high-quality exp

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Alghanayem, Haitham, Giuseppe Lamberti, and Jordi López-Sintas. "A dark side of retargeting? How advertisements that follow users affect post-purchase consumer behavior: Evidence from the tourism industry in Saudi Arabia." Innovative Marketing 19, no. 4 (2023): 234–46. http://dx.doi.org/10.21511/im.19(4).2023.19.

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This study aims to explore the complex effects of post-purchase retargeting ads on consumer behavior, with a focus on expectation confirmation, satisfaction, and repurchase intentions. Additionally, it examines the influence of time spent online on these effects. Anchored in expectation confirmation theory (ECT), the study analyzes responses from 396 Saudi Arabian e-tourism customers who encountered competitive retargeting ads after purchasing an e-tourism package. The analysis employs partial least squares structural equation modeling (PLS-SEM) and multigroup analysis (MGA) to test the hypoth

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9

Mcleod, Hamish J., and Frank P. Deane. "Confirmation of precounselling expectations: Does expectation valence moderate changes in state anxiety?" International Journal for the Advancement of Counselling 17, no. 2 (1994): 139–47. http://dx.doi.org/10.1007/bf01407970.

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10

Lee, Jinha, and Youn-Kyung Kim. "Online Reviews of Restaurants: Expectation-Confirmation Theory." Journal of Quality Assurance in Hospitality & Tourism 21, no. 5 (2020): 582–99. http://dx.doi.org/10.1080/1528008x.2020.1712308.

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