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The objective of this study is to explore Generation Z’s interpretation of educational practices at the secondary education level. By examining the expectations of Generation Z, this study aims to provide insights for teachers and decision-makers to improve educational and instructional practices.

The specific approach employed in this study is Transcendental Phenomenology (TPh), which focuses on uncovering the perceived experiences, thoughts and evaluations of the Gen Z generation toward formal education. For this study, the maximum variation sampling strategy, which is one of the purposive sampling methods, was utilized. In line with the nature of the design, one-on-one interviews were conducted to collect data. Thematic analysis, a commonly used method for identifying recurring patterns of meaning, was applied to analyze the data. Peer debriefing or analytic triangulation, Data saturation, Triangulation and member checking techniques were operated to support the validity and reliability of the study.

In the light of the data analysis, four themes emerged: expectations from teachers, curricula, school administration and School Counseling Service (SCS). Gen Z expects from teachers “to be democratic, to adopt novel teaching approaches and technology, to have affective qualities, to be attentive to arts and sports, to conduct qualified assessment.” Gen Z has also expectations regarding the curricula in practice such as “functionality, extracurricular activities, and instructional practices.” The expectations of the students from school administration include “administrative expectations,” “expectations regarding the learning environment” and “social expectations.” The participants had expectations regarding School Counseling Service (SCS) such as “professional guidance,” “academic guidance” and “career guidance.” “Career guidance” includes “introduction of career paths,” “academic guidance” includes “introduction of university programs,” “exam guidance” and “teacher training” and “personal guidance” includes “accessibility,” “equity in guidance services,” “communication” and “functionality.”

The research is limited to the volunteers included in the study. In addition, the study includes only senior high school students, 12th graders, representing Gen Z. In addition, the study includes only Gen Z living in a metropolitan city. The methodological limitation of the study is that only one-to-one interview technique was used for data collection. The main reason behind such a choice is that the most appropriate technique for data collection in the phenomenology method is one-on-one interviews in order to explore individual interpretation.

The research sheds light on many different points in terms of different applications. One of the results obtained in this context is curriculum. Gen Z criticizes the limitation of the program to only in-school learning and states that extracurricular practices should be included. Findings also presents implications regarding learning environments. There is a growing emphasis by Gen Z on the adoption of green, comfortable and interactive learning spaces. The Generation Z population expects teachers to possess digital competence (DC) and utilize it in their teaching practices. This shows that teachers' teaching competencies need to be upskilled.

It is crucial for policymakers to support the development of teachers' digital skills and encourage their integration into teaching to enhance instructional productivity, promote innovative learning, increase instructional appeal, foster teamwork, improve communication and facilitate innovative learning. The research reveals that Gen Z is a social phenomenon and needs to be recognized and their learning needs explored. In this context, it is imperative that the preferences and learning needs of Gen Z are considered in the learning environment, content, method-technique and assessment stages, especially in formal education practices.

The current research is important both in terms of filling the research gap in the literature and making inferences about the learning preferences of the GEN Z generation. In addition, it raises awareness in terms of the return on educational investments, providing sustainable motivation for learning and school and increasing the quality of learning outcomes. While the study reveals certain implications, further research is required to investigate the competencies of teachers, the effectiveness of teaching materials, instructional practices and designs and learning environments. Future studies should particularly concentrate on the personal preferences, motivation, engagement and learning preferences of Gen Z at the secondary level. Authorities, including teachers, ought to reassess their perspectives and adapt their practices in order to better meet the needs and expectations of Gen Z.

This study addresses a critical aspect of tourism in Arunachal Pradesh, India, by investigating how tour quality impacts on tourist satisfaction of domestic tourists. As one of the least explored regions of the country, Arunachal Pradesh holds immense tourism potential. Understanding the factors that contribute to tourist satisfaction, particularly the role of tour quality, is of paramount importance for enhancing the region's appeal as a sought-after travel destination.

The study was operationalized using survey questionnaires from domestic tourists (n = 200) visiting Ziro Valley, Arunachal Pradesh, India. A convenient sampling method was adopted for the study. Ordinary least square structural equation modeling (OLS-SEM) was used to measure the relationships.

The findings show that tourist expectations and tourist motivation influence tour quality and consequently impact the overall satisfaction of tourists.

This study extended the existing literature on tourist satisfaction in the domain of travel and tour by demonstrating the significance of tourist expectations and motivations on tour quality and tourist satisfaction. The findings offer insights for stakeholders seeking to enhance destinations' image, tour quality and overall tourist satisfaction.

This paper provides original contributions to the field of tourism by examining the effect of tour quality on tourist satisfaction. It integrates the factors, namely tourist expectations and motivations, into the analysis, offering insights into delivering customized tour experiences that meet tourists' needs.

This study aims to provide a nuanced understanding of the relationship between task-technology fit and employee innovative behavior, as well as the role of creative self-expectations.

Hierarchical regression analysis was used to test the proposed multilevel model on a sample of 407 employees working in Chinese companies.

Task-technology fit stimulates employee innovative behavior through the regulation of creative self-expectations and positive emotions. When creative self-expectations is low, the promoting effect of task-technology fit on innovative behavior is enhanced. However, when creative self-expectations is too high, this effect is reversed due to employees’ preference for challenging and complex work.

In the process of enterprise digital transformation, managers should not only focus on the alignment between employees' skills and individual task expectations, but also pay attention to employees' emotions and individual trait differences, to enhance the likelihood of innovative behavior occurrence and achieve successful enterprise digital transformation.

This study enriches the research on task-technology fit and provides recommendations for organizations to achieve digital transformation.

This interview study examines Hungarian journalists' and copywriters' expectations of generative AI’s impact on their professions and factors influencing these views during a period of hype.

While acknowledging the specialized knowledge of journalists and copywriters relative to the general public, the study employs the sociology of expectations framework to interpret their anticipations not as objective forecasts of the future, but rather as phenomena shaped by diverse influences. The research comprises 30 semi-structured interviews conducted in spring 2023 to explore these expectations and their contributing factors.

Results reveal ChatGPT’s media coverage as pivotal, encouraging the professionals interviewed to experiment with AI, reassess their roles, and cause a shift in their job expectations. At the same time, this shift was limited. Skepticism about hyperbolic media formulations, their own experiences with ChatGPT and projecting its constraints into the future, contextual factors, and optimism bias contributed to moderating their expectations. They perceived AI as an enhancer of efficiency and quality, not as a radical disruptor. Copywriters were more open to integrating AI in their work, than journalists.

The results underscore the importance of further research to explore subjective experiences associated with technological change, particularly considering their complex social, psychological, and cultural influences.

The study uniquely contributes to the sociology of expectations by highlighting how a complex interplay of factors can shape professionals' anticipation of the impact of AI on their careers, including optimism bias and media hype.

The purpose of this study is to empirically evaluate the audit expectations gap among stakeholders in listed firms in Palestine. The purpose of the investigation is to determine whether or not there is a gap in audit expectations between auditors and investors, auditors and board directors, as well as among auditors and financial managers and also among auditors and shareholders.

To attain its ultimate objective, this study was created using an exploratory descriptive methodology grounded in the use of quantitative methods. A structured questionnaire was used to gather study data from 81 respondents, and a statistical package for the social sciences-26 was then used for analysis.

The results of this research showed that there is a sizable difference in audit expectations among shareholders, financial managers and board directors, as well as among auditors and investors. The findings also demonstrate that, in comparison to the difference between auditors and financial managers, the gap between auditors and board directors and auditors and shareholders is very narrow.

This investigation, which examines the audit expectations gap in great detail, has some significant limitations. This study was limited to the Palestinian market alone. Future research might compare or examine the variations in audit expectations in Jordan, Lebanon, Syria, Iraq and Iran, among different countries. In addition, the demand for accurate and reliable financial reports has sparked a recent increase in interest in auditing, a long-standing sector that has expanded in recent years.

The study has several practical implications, for example, it underlines how crucial it is to make stakeholders aware of the limitations and difficulties related to the auditing process. By doing this, the situation that audit committees and listed firms find themselves in will be easier for investors, board directors, financial managers and shareholders to understand. The way that auditors and stakeholders communicate can help reduce this gap since it affects how much each party underestimates or understates the other’s obligations.

This paper contributes to the literature by analysing and identifying the causes of the audit expectations gap in companies listed on the Palestine Stock Exchange and providing useful insights and potential solutions to close or mitigate it. It also adds a new contribution to the literature related to the audit expectation gap. This investigation offers unambiguous evidence of a sizable discrepancy between audit expectations and actual performance in terms of formal auditor obligations as outlined by current law, as well as auditor reliability standards and practices, between auditors, board directors, investors, shareholders and financial managers in listed Palestinian firms.

The study intends to evaluate the impact of inflation expectation on the performance of listed commercial banks in India during 2005–2021. Inflation expectation is considered as a direct policy tool by the policymakers for stability of the economy. The study explores how inflation expectation affects the performance indicators of the Indian banking industry while controlling for a wide range of bank-specific factors.

The study applies the generalized method of moments (GMM) on a panel sample of 27 listed bank to analyse the impact of inflation expectation on banking sector performance. The data on inflation expectation are obtained from the household inflation expectation survey introduced in India by the Reserve Bank of India in 2005. Return on assets (ROA), return on equity (ROE) and Tobin's Q have been considered as the banking performance indicators in this study.

Empirical results exhibit that inflation expectation is instrumental in deciding the banking sector's performance. Inflation expectation has been found to have a significant and positive impact on accounting-based measures of banking performance. At the same time, it shows negative impact on the marketing-based measure.

The study gives a clear picture about how inflation expectation affects the banking performance and the monetary policy of the country. The study provides crucial insights to develop strategic decisions for the Indian banking sector. The adoption of proper macroeconomic policies, taking into account inflation expectation levels, is instrumental in enhancing bank's performance and in achieving economic growth.

This study contributes to the growing body of literature on the impact of inflationary conditions on banking performance. The originality lies in capturing the role of inflation expectation solely in determining banking sector performance.

As young individuals transition from educational settings to embark on their career paths, their expectations for their future careers become of paramount importance. Ng et al. (2010) examined the expectations of young people in post-secondary education in 2007; those colloquially referred to as “Millennials” or “GenY”. The present study replicates Ng et al.'s (2010) study among a sample of post-secondary students in 2019 (referred to as Generation Z or GenZ) and compares the expectations of young adults in GenY and GenZ.

This study employs a time-lag comparison of GenY and GenZ young career entrants based on data collected in 2007 (n = 23,413) and 2019 (n = 16,146).

Today's youth seem to have realistic expectations for their first jobs and the analyses suggest that young people continue to seek positive, healthy work environments which make room for work–life balance. Further, young people today are prioritizing job security and are not necessarily mobile due to preference, restlessness or disloyalty, but rather leave employers that are not meeting their current needs or expectations.

Understanding the career expectations of young people allows educators, employers and policymakers to provide vocational guidance that aligns those expectations with the realities of the labor market and the contemporary career context.

While GenY was characterized as optimistic with great expectations, GenZ can be described as cautious and pragmatic. The results suggest a shift away from opportunity, towards security, stability, an employer that reflects one's values and a job that is satisfying in the present.

Enterprise information systems (EISs) are intricate technological artifacts with wide user base within organizations. While much is known about the adoption and implementation of EISs, little is known about what subsequently follows them, i.e. the assimilation of EISs. This article aims to examine the assimilation of the EISs which is consequential to realizing any benefits from such enterprise technology.

The author conceptually draws on the insights from the expectation confirmation theory, theory of reasoned action, equity theory, and prospect theory to examine the assimilation of the EISs. In doing so, the author generates competing testable hypotheses regarding the relationship between individual users' psychological and social influences through expectation (dis)confirmation and the users' intention to assimilate the EISs.

By conceptually articulating the individual users' psychological and social influences through expectation (dis)confirmation, the author offers a more complete account of the assimilation of EISs, and provide several avenues for future empirical and theoretical research on enterprise technology assimilation.

The extant research that there is on the assimilation of the EISs focuses more on the organizational – as opposed to individual – level determinants of EISs assimilation and largely considers the functional – rather than psychological and social – drivers. This article addresses these important, yet understudied, factors to offer a more nuanced account of EISs assimilation.

This study aimed to explore the impact of Artificial Intelligence (AI) characteristics, namely Perceived Animacy (PAN), perceived intelligence (PIN), and perceived anthropomorphism (PAI), on user satisfaction (ESA) and continuous intentions (CIN) by integrating Expectation Confirmation Theory (ECT), with a particular focus on Generation Y and Z.

Using a quantitative method, the study collected 495 data from Gen Y (204) and Z (291) respondents who were users of digital banking apps through structured questionnaires that were analysed using PLS-SEM. The latter helped investigate the driving forces of AI characteristics and user behavioural intentions as well as reveal generation-specific features of digital banking engagement.

The study revealed that PAN and PIN have significant positive effects on the anthropomorphic perceptions of digital banking apps, which in turn increases perceived usefulness, satisfaction, and continuous intentions. In particular, the influence of these AI attributes varies across generations; Gen Y’s loyalty is mostly based on the benefits derived from AI features, whereas Gen Z places a greater value on the anthropomorphic factor of AI. This marked a generational shift in the demand for digital banking services.

The specificity of Indian Gen Y and Z users defines the scope of this study, suggesting that demographic and geographical boundaries can be broadened in future AI-related banking research.

The results have important implications for bank executive officers and policymakers in developing AI-supported digital banking interfaces that appeal to the unique tastes of millennial customers, thus emphasising the importance of personalising AI functionalities to enhance user participation and loyalty.

This study enriches the digital banking literature by combining AI attributes with ECT, offering a granular understanding of AI’s role in modulating young consumers' satisfaction and continuance intentions. It underscores the strategic imperative of AI in cultivating compelling and loyalty-inducing digital banking environments tailored to the evolving expectations of Generations Y and Z.

Value creation in engineering projects has received considerable research attention. However, buyers’ expectations regarding project value do not always translate into the actions of project team members (actors). Drawing upon resource orchestration theory to explore the micro-foundations of project value creation (PVC), we investigate how suppliers organize project team members to create project value that meets buyers’ expectations.

We adopted two instructive engineering projects as comparative cases to analyze patterns in actor interactions in PVC.

The results reveal “social interaction-based value creation” and “structural interaction-based value creation,” which explain the PVC process from the collective-level buyer’s expectations and supplier’s value orientation, to individual-level actor interactions (mobilizing, connecting, and networking), knowledge orchestration activities (structuring, bundling, and leveraging), and finally the value creation process (identifying, configuring, and generating) in project teams to generate collective-level project benefits and values.

We propose a macro-approach to micro-foundations, with a focus on the buyer-expected PVC process on the supplier side. Furthermore, we explain how suppliers organize individual actions and orchestrate the individual knowledge through two patterns of individual-level actor interactions for collective-level PVC.