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The purpose of this study is to ascertain the best predictors of customer satisfaction by analysing and comparing the variables of two classical paradigms: the confirmation/disconfirmation model; and Locke's model of general satisfaction.

Following a literature review and the development of a conceptual framework in which various problems in the two models are identified, the paper presents a field study that investigates the extent to which the satisfaction of customers of a bank can be explained by these models and by two modified models (regression design).

The study finds: that the inclusion of “importance” in Locke's model does not provide a better prediction of satisfaction than the variables of “performance” and “expectation” in the confirmation/disconfirmation model; that the absolute level of the expectation‐performance difference is a better predictor of customer satisfaction than the simple relative difference; and that “performance” is a much more reliable predictor of satisfaction than “expectation” and/or “importance”.

The study is limited to the specific setting of bank customers; it is uncertain whether the findings can be generalised to other fields.

The study provides an original critique and comparison of the classical models and identifies their limitations. The study also demonstrates that the absolute level of the expectation‐performance difference is a better prediction of customer satisfaction than the simple relative difference. The study shows that “performance” is the most powerful predictor of satisfaction and that it is therefore not necessary, in practice, to conduct a differentiated survey of other predictors.

Money Laundering Reporting Officers (MLROs) carry out day-to-day anti-money laundering (AML) tasks while directors ultimately remain responsible for AML compliance. Therefore, directors’ expectations of what their MLROs do should ideally coincide with what their actual tasks to minimise liability risk. This paper aims to test for gaps between MLROs and their directors in terms of knowledge, expectations and performance of AML tasks. Likewise, it is researched whether MLROs and directors communicate well with regard to MLROs’ tasks.

This paper first develops a model for analysing the dyadic relationship between MLROs and their directors, based on the audit expectation-performance gap. Second, a paired electronic survey of MLROs and directors of German companies was conducted in autumn 2020, testing for participants’ knowledge, expectations and performance of possible AML tasks (n = 136 pairs).

While there is no knowledge or performance gap among MLROs and directors, expectations among them are partially unreasonable and their communication needs to be improved. Additionally, this study suggests that MLROs of German non-financial businesses are less knowledgeable, perform AML duties more poorly, and communicate less effectively with their directors.

Training of MLROs and communication with their directors need to be improved. Especially in the non-financial sector, action is urgently required.

This paper reports the results of the first paired survey of MLROs and their directors, offering unique insights into their relationship and the status of private AML efforts.

This paper aims to quantify, for the first time, the performance expectations gap in community roadworks projects by proposing a performance expectations gap index (PEGI) that can answer a vital question of how wide/how narrow the gap is from a stakeholder perspective. Previous scholars have offered qualitative descriptions of the expectations gap from an auditing point of view using a constructivist approach. This study uses a positivistic approach in addressing the procurement performance expectations gap.

The index is computed by combining data from actual and perceived performance of public roadworks from two categories of respondents: “Technical personnel” and “Road users” in selected District Local Governments (DLGS) of Uganda using paired mean differences. The authors created grand means from these two groups for us to make a meaningful comparison. Data were collected from community access roads projects opened, maintained and completed and the satisfaction levels from 69 DLGS. The community leaders and political representatives formed a group of road-users, whereas DLG Engineering staff represented the technical staff. Data was collected on the extent to which the DLG had achieved performance efficiency, performance effectiveness and performance reasonableness. The measurements items was anchored along the continuum of: (5) Outstanding = Performance is consistently superior to (1) Unsatisfactory = Performance is consistently unacceptable.

Study findings show the level of performance of roadworks attained by technical staff is only 65%, with 15.9% gap is attributed to performance efficiency, the 29.1% gap is attributed to performance effectiveness issues and 20% gap is the perceived performance unreasonableness gap in the stakeholder’s perspective, creating an overall performance gap of 35%, in the perspective of road users. From the computations carried out, the authors determined the size of the expectation gaps by the technical DLG stakeholders and road-users of 0.3493. The gap index (0.3493) falls within the range between 0.2 and 0.39, which is a small performance expectations gap, calling for top management’s attention to identify and work on the parameters causing operational inefficiency within implementing units of DLGs. Study findings show the level of performance of roadworks attained by technical staff is 65%, creating a performance gap of 35%, in the perspective of road users.

The implications of these results can ignite a meaningful debate on whether financing of road projects should be based on how narrow the performance gap should be and having sustained evidence that the gap is progressively being narrowed for improved sustainability of roadworks financing by donor agencies. Whereas this quantification of the performance gap is a new positivistic direction towards minimizing the performance expectation gap, it can easily be adopted by roadworks implementing units in assessing road-user performance needs at the point of project completion and once these are not achieved, such minor loopholes would be worked on, on a regular basis as and when need warrants.

The authors have introduced and empirically verified the performance expectation gap index, which further understands the performance expectations gap from a positivistic approach. The paper provides a problem-solving tool to analyse stakeholder engagement linkages with performance expectations variations on the practical side.

The paper has started on a change perception campaign of shaping road-user critical perspectives about the outcome of community roadworks procurements. By introducing and creating a mindset of quantitative assessments in understanding the expectation gaps that can be caused by a number of factors, the responsible people for creating, maintaining and widening PEGs will eventually wake up and improve personal behaviours that lead to the widening of the procurement performance gap in roadworks, from a stakeholders’ perspective.

Unlike previous scholars who used a constructivist approach, the paper is the first of its kind to use a positivistic approach to quantify the procurement performance expectations gap using a PEGI. The use of the index gives new insights to managing procurement performance expectations to the satisfaction of stakeholders from a quantitative perspective.

This study aims to better understand how academics-in-the-making construe doctoral performance and the impacts of this construal on their positioning in relation to doctoral performance expectations.

This study is based on 25 semi-structured interviews with PhD students from Canadian, Dutch, Scottish and Australian business schools.

Based on Decoteau’s (2016) concept of reflexive habitus, this study highlights how doctoral students’ construal is influenced by their previous experiences and by expectations from other adjacent fields in which they simultaneously gravitate. This leads them to adopt a position oscillating between resistance and compliance in relation to their understanding of doctoral performance expectations promoted in the academic field.

The concept of reflexivity, as understood by Decoteau (2016), is found to be pivotal when an individual integrates into a new field.

This study encourages business schools to review expectations regarding doctoral performance. These expectations should be clear, but they should also leave room for PhD students to preserve their academic aspirations.

It is beneficial to empirically clarify the influence of performance expectations in academia on the reflexivity of PhD students, as the majority of studies exploring this topic mainly leverage auto-ethnographic data.

Drawing on climate theory and social exchange theory, the purpose of this paper is to examine whether and how the strength of the expectation climate, defined as the degree of agreement among job incumbents on what is expected from them, affects their job performance. To explain this relationship, the authors utilize mediating trust-in-the organization effects as an explanatory avenue.

In a time-lagged data sample of 568 public service employees, whose job performance is rated by their 242 line managers, the authors apply multilevel modeling. The authors employed stratified random sampling techniques across 75 job categories in a large, public sector organization in Belgium.

The analysis provides support for the argument that expectation climate strength via mediating trust-in-the organization effects impacts positively on the relationship between employee expectations and performance. Specifically, the significant association of the expectation climate strength with trust suggests that the perceived consensus about the expectations among different job incumbents demonstrates an organization’s trustworthiness and reliability to pursue intentions that are deemed favorable for employees. The authors conjecture that expectation climate strength breeds trust which strengthens employees’ job performance.

HRM professionals in general, and line managers in particular, should heed the advice and carefully manage their tools and practices in an effort to signal compatible expectancies to different job incumbents in the same or similar roles.

The results shed new light on the mechanisms through which the strength of collective expectations impacts employee outcomes.

Research in economics, finance and decision science has shown that consumers are familiar with unit‐to‐unit variability, and in the context of services it has been demonstrated that consumers often anticipate and perceive performance heterogeneity. However, satisfaction models to date have failed to explicitly treat expectations as distributions. In this study, expectations were modeled along two dimensions – mean and variance of expected performance – which were manipulated together with actual performance in a true experimental design. The findings indicate that the expected variance in performance had an impact on perceived disconfirmation. Specifically, at low levels of incongruity (i.e. small absolute performance deviations from the expected mean), a high expected variance in performance reduced the level of perceived disconfirmation. Conversely, at high levels of incongruity (large absolute performance deviations from expectations), the expected variance in performance exerted minimal influence over perceived disconfirmation. These findings are reconciled and discussed using the zones of indifference and tolerance, and assimilation processes.

The purpose of this paper is to explore stakeholder expectations of performance within public healthcare services from a less-developed economic context – Zambia in this case. The study emerges from extant literature indicating potential variations in stakeholder conceptions and expectations of performance within public services.

The paper draws on institutional and structuration theories to investigate cross-sectional stakeholder expectations of performance together with power relations embedded within public healthcare performance expectations. Empirical data are drawn from semi-structured interviews with 33 stakeholders including legislators, policymakers, regulators of health services, healthcare professionals and health facility managers.

The findings not only reiterate the constructed and multi-dimensional nature of performance but also highlight the hierarchical configuration of stakeholder expectations linking macro-level health outcomes with micro facility-level service delivery processes.

The study points towards the need of harmonising the national performance measurement (PM) framework to ensure that macro-level goals are suitably cascaded and translated into micro-level service delivery processes through bottom-up structuration linkages.

In addition to filling the gap of explicating public healthcare PM practices in a less-developed economic context, the paper integrates insights from institutional and structuration theories to depict stakeholder expectations of performance through a multi-level and hierarchical framework.

The paper seeks to provide a theoretical and empirical investigation of the relationship between consumer expectations and consumer perceptions of service quality.

The theory of cognitive reference points, adaptation‐level theory, and assimilation‐contrast theory are used to formulate hypotheses concerning the relationships between perceived service quality, consumer expectations, and perceptions. These hypotheses were empirically investigated through an experiment that manipulated expectations and perceptions while measuring perceived service quality.

The principal finding is that consumer expectations are positive predictors of perceived service quality (i.e. higher expectations lead to higher perceptions of quality). Another finding is that the relationship between expectations and perceived service quality is much stronger than prior literature suggests.

The practical implication of this study is that practitioners should seek to actively manage their customers' expectations to increase those expectations.

This paper is valuable to practitioners who are seeking to use expectations to achieve higher perceptions of quality among their customers. It is also valuable to researchers who are seeking to understand the relationship between expectations and quality perceptions.

This study aims to investigates customer satisfaction from the use of bank chatbots and the effect of perceived trust in chatbots and banks' reputation on customer satisfaction.

A survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot. Partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables. The data were analyzed using SPSS 21 and SmartPLS programs.

Perceived performance, perceived trust and corporate reputation significantly affect customer satisfaction with chatbot use. Customer expectations and confirmation of customer expectations have no direct impact on customer satisfaction, but customer expectations positively affect perceived performance. Customer expectations exert an indirect influence on customer satisfaction through perceived performance. Perceived performance has a positive impact on the confirmation of customer expectations, but customer expectations do not significantly impact the confirmation of customer expectations.

This study relies on a limited number of participants. Moreover, its sample is not representative of the target population due to the convenience sampling technique. Even if the results may not be generalized to the entire population of Turkey, they reflect the reality of emerging markets with relatively high technology sensitivity and a young population.

The results provide new insights regarding banking service delivery channels, which may be of interest to professionals, academics, banks' top management, product development teams, design teams and customer satisfaction units.

This study is believed to help the community make their lives easier by providing them with knowledge and awareness about chatbots.

This study extends expectations confirmation theory's predictions to chatbot use in banking.

Research on perceived risk and multiattribute models with uncertain attributes has shown that consumers are familiar with unit‐to‐unit variability of products and services, and can expect some kind of performance level distribution. This has led to the modelling of expectations along two dimensions – expected mean performance and some measure of its variance. This perspective is in accordance with theories on decision making in economics, finance and decision science. Satisfaction models, however, implicitly assume that expectations are unidimensional, and so far, no research has examined the impact of expected performance heterogeneity on the satisfaction processes. This is surprising, particularly in services marketing, as a high degree of performance heterogeneity is a frequently cited feature of service encounters. In this study, different levels of expected performance heterogeneity were manipulated using a unique laboratory simulator. The results clearly show that expected performance heterogeneity can have impact on the satisfaction process. In particular, at small levels of actual disconfirmation the presence of uncertainty in expectations improves the level of disconfirmation, shifting it towards “better than expected”, and improving overall satisfaction. At higher levels of disconfirmation, uncertainty in expectations did not show any effect on disconfirmation levels.