Academic literature on the topic 'Expectation confirmation'

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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 establish pre-expectations (expectations that are developed before joining the firm), experience multiple stages of the expectation-confirmation process throughout their sales career with a firm and – in each stage – establish either a longer-term commitment to or permanent disengagement from the firm. Findings A winning strategy for sales organizations is to recognize salespeople expectations and to meet or beat these expectations. Salespeople expectation management is particularly important in sales organizations that frequently find aligning sales force management strategies with organizational imperatives to be challenging. Research limitations/implications This study extends expectation-confirmation theory by presenting a conceptual framework that: identifies the existence of pre-expectations of salespeople and their outcomes; recognizes that the expectation-confirmation process occurs across multiple stages in the salespeople’s career cycle; recognizes that the level of expectations in previous stages of one’s career cycle influences the level of expectations in subsequent stages; and conceptualizes the non-linear relationship between expectations, tenure and turnover intentions. Originality/value The multiple expectation-confirmation framework can be used for effective salespeople expectation and turnover management and may also serve as a general model of organizational interventions.
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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 implementation. Data was gathered using a web-based survey questionnaire. Various variables were analyzed through statistical correlation and regression using a statistical package for social science software. This study concludes that confirmation of expectation and perceived usefulness positively impacted satisfaction; confirmation of expectation was the strongest predictor of satisfaction. Additionally, the combined effects of satisfaction, confirmation of expectation, and perceived usefulness positively correlated with deep structure usage of LMS. This study investigates whether lecturers would use the system to its full capacity if they found the LMS features useful to a specific teaching task and if the system provides satisfaction and fulfills the lecturers’ expectations. Future research recommends extending the model to investigate determinants of satisfaction and confirmation of expectations of specific LMS features in terms of technical, design, capability, and experiential aspects. This extension would enable a more detailed understanding of aspects that determine satisfaction and confirmation of expectation, directly influencing deep structure usage.
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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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4

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 retirement planning significantly impacted confirmation of retirement expectations, although conditions of exit did not significantly affect confirmation of retirement expectations.
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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 the factors that affect users’ continuance intention to use MOOC platforms. In this study, online questionnaires were distributed to Chinese users with experience in using MOOC platforms, and a total of 550 valid samples were recovered. In addition, the theoretical model was tested using structural equation modeling (SEM). The research results showed that there are three critical antecedents affecting the confirmation of user expectations for a MOOC platform, including information quality, system quality, and service quality, of which service quality has the greatest impact on users’ expectation confirmation. If user expectations for an MOOC platform are positively confirmed, the perceived usefulness of the platform as well as the satisfaction with it will effectively be improved. Moreover, perceived usefulness has been proven to be a critical factor affecting users’ continuance intention to use MOOC platforms, which is followed by user satisfaction. Compared to the original ECM, the integrated research model has delivered significantly improved explanatory power for users’ continuance intention. Hence, this study makes up for the insufficiency of ECM in explaining the factors affecting users’ expectation confirmation and provides theoretical support for MOOC platform developers.
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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 experience had the highest evaluation of their overall visit experience, memorability, and authenticity. Whereas, travelers with low expectations and a low-quality experience showed the poorest assessment. Many practical and theoretical implications for destination marketing and management are discussed based on the study’s findings.
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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 hypotheses. A notable finding is the direct negative impact of retargeting ads on expectation confirmation: increased exposure to such ads post-purchase seems to diminish the perception that initial expectations of the product or service are being met. The negative effect of these ads also indirectly influences satisfaction and repurchase intentions. Furthermore, the MGA results indicate variations in this negative impact based on the time spent online. Specifically, the more time consumers spend online, the stronger the negative impact, leading to a significant decrease in satisfaction and repurchase intentions. These insights reveal the complex nature of post-purchase retargeting ads and underscore the importance of accounting for consumers’ online behavior. They offer valuable direction for marketers to refine retargeting strategies to better resonate with consumer expectations.
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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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