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Employee engagement (EE) continues to be one of the most difficult challenges for organizations today. Numerous factors have been linked to EE, according to studies. However, the necessary human resource management (HRM) strategies and systems for enhancing EE have not yet been developed. It is questionable if all employees inside the company require the same HRM strategies, to boost engagement as one size does not fit all. Therefore, it is necessary to create employee profiles based on factors associated with EE. This study aims to develop employee profiles based on engagement dimensions and outcomes. It seeks to comprehend the relationship between engagement level and factors such as age, years of service and employment grade.

Using latent profile analysis (LPA), we identified five EE profiles (highly engaged, engaged, moderately engaged, disengaged and highly disengaged). These five profiles were characterized by five EE dimensions (Culture Dimensions, Leadership Dimensions, People Process, Business alignment Dimension and Job Dimension) and EE outcomes (Say, Stay and Strive).

The study revealed that Engaged profiles exhibited low stay outcomes. The highest percentage of disengaged employees fall under 25 years of age with less than 5 years of experience and are at the entry level.

The study highlights the significance of the people processes dimensions in enhancing engagement. Profiles with low people process dimensions showed high disengagement. Person-centered LPA adds and complements variable-centered approach to develop a better understanding of EE and help organizations devise more personalized strategies. The study would be of interest to both academics and practitioners.

The novelty of this study lies in its attempt to model the employee profiles to comprehend the relationship between engagement levels using LPA.

This study investigates the relationship between self-compassion and life satisfaction, and there is a significant statistical correlation between some dimensions of the self-compassion scale (family, self-kindness, common human feelings and mental alertness).

The researcher used the Self-Compassion scale prepared by Neff (2003) translated by the researchers, in a sample of 150 students in Egypt, and Multidimensional Student’s Life Satisfaction Scale, developed by Huebner et al. (1998) translated by the researchers.

The results of the study showed that self-compassion is high in university students. The study also showed a negative correlation with the dimension of psychological self-judgment and life satisfaction, as it indicated the possibility of predicting life satisfaction through the dimensions of self-compassion, except for the dimensions of isolation and autism, and excessive communication with the self. It also indicated that there are no differences between males and females as far as the variable of self-compassion, as well as the absence of differences between males and females as far as the variable of satisfaction with life is concerned. However, the family dimension showed a difference in favor of males.

The inclusion of extension programs to develop self-compassion for various segments of society in light of the continuing corona pandemic, and paying attention to religious counseling programs that support the use of spiritual values in self-strengthening which is reflected in the strengthening of psychological resilience and thus a sense of satisfaction with life.

This paper aims to investigate the relationship between prospective teachers’ cultural profiles and service quality expectations in a pedagogical training program in Greece.

Using the EppekQual scale and an alternative Hofstede’s cultural scale, 113 prospective teachers in a Greek training program were surveyed. The study uses descriptive statistics, correlation analysis and multiple regression, validating measurements through confirmatory factor analysis.

Prospective teachers exhibit a low-power orientation and a preference for feminine values. Rejecting hierarchy correlates with quality expectations, especially in the curriculum dimension, emphasizing student-centric education. A positive correlation with acceptance/avoidance of uncertainty is observed, notably in learning outcomes and administrative services. The cultural aversion to ambiguity shapes individuals’ prioritization of all quality dimensions. A realistic long-term perspective correlates positively with expectations in learning outcomes, aligning with Greek culture’s emphasis on security. Contrary to expectations, a predilection for feminine values positively impacts service quality expectations, particularly in curriculum, learning outcomes and academic staff dimensions. The hypothesis related to individualism/collectivism is not substantiated, indicating a negative association with the curriculum dimension.

Tailoring program designs to embrace student-centric and collaborative learning environments is recommended. Acknowledging cultural aversions to uncertainty, program flexibility and clarity are essential. Integrating career planning and mentorship aligns with realistic long-term perspectives. The need for a balanced approach to personal and intellectual development is also suggested.

This study uncovers specific cultural dimensions that shape quality expectations within a Greek teacher training context.

This paper aims to investigate the effect of product offering and other service quality (SQ) dimensions on the satisfaction of the customers of both Islamic and conventional banks, using evidence from an oil-based economy that is based on a prolonged SERVQUAL model with 11 dimensions and other statistical analysis methods.

The data were collected from 461 Islamic and conventional bank customers in Qatar via a survey and several tests were used to test certain hypotheses. Component analysis, factor analysis and gap and ascendency analysis were used in this study. Afterward, a correlation analysis and regression model were used to examine the hypotheses and validate the instruments used.

The results show that regardless of the type of bank, customers always have greater expectations of the services than they had perceived. A customer’s expectation of the product on offer is the only dimension that is significantly different in relation to the two types of banks. However, reliability, competence, responsiveness, credibility and empathy dimensions are significantly different of the two types of banks in customers’ perception of quality. In addition, the results suggest that both types of banks need to concentrate their efforts on the product offering, competence and courtesy dimensions.

The size of our sample of Islamic and conventional banks is unequally balanced. Future studies might therefore choose an equally balanced sample.

Bank managers in both types of banks need to continue improving the quality of their service including product offering and to adopt advanced methods to enhance customer satisfaction (CS) and reduce the gaps in quality in the dimensions used. Furthermore, managers in both types of banks need to put more emphasis on product offering, competence, courtesy and communication if they wish to improve SQ. Moreover, Islamic banks must guarantee that they possess competent, highly trained personnel who are familiar with Islamic finance products, so as to enhance the quality of service and attract customers.

To the best of the author’s knowledge, this is the first study to investigate the effect of product offering and other dimensions of SQ on CS in both Islamic and conventional banks by using 11 dimensions of SQ. In addition, it provides evidence of gaps in SQ, at the dimensions level, for both types of banks in an oil-based economy. The results of this study are valuable in helping decision-makers and bank managers who wish to raise the level of SQ and improve CS and in validating the results from other countries with a dual financial system.

ESG (Environment, Social, Governance) has taken on increased importance in recent years for all stakeholders, with the S dimension now taking on a stronger focus in the real estate space. This paper proposes a new metric to be used in the S space to assess improvements in aspects such as gender equality and cultural diversity in real estate. It adds to the S metrics currently available to see the more effective delivery of the S dimension into real estate investment decision-making.

A new S metric in ESG is proposed and validated. Using this metric, examples regarding gender equality and cultural diversity are assessed among leading real estate players in Australia. This S metric is assessed over a number of time periods to demonstrate the improvements in gender equality and cultural diversity in these major real estate players.

This new S metric is seen to be highly effective and robust in capturing the changes in various aspects of the S dimension in ESG in the real estate space today; particularly concerning gender equality and cultural diversity. It is clearly able to demonstrate the significant changes in increased participation of women at the more senior leadership levels by leading players in the real estate space.

With ESG becoming a critical issue in the real estate sector, issues involved in the S space will take on increased significance going forward. This is critical, as the elements of the S dimension such as gender equality and cultural diversity are important aspects for an effectively functioning real estate industry. The S metric developed in this paper can be used for benchmarking purposes over time, as well as between real estate players, between sub-sections within a real estate organisation, and comparing against other industry sectors. It is also relevant in all organisations, and is not just limited to the real estate sector. Additional metrics in the S space are an important development to further empirically assess the effective delivery of the S dimension of ESG in the real estate sector and more broadly.

This paper specifically proposes this new S metric in ESG in the real estate industry. This is a key issue for the real estate industry going forward at all levels, as it will facilitate a more diverse real estate industry and more effective real estate investment decision-making. This S metric is applicable in all organisational sectors where the S dimension of ESG is important.

Research assessment has long been important for directing research funding, rationalizing research organizations and enhancing productivity, including concentrating on specialized subjects. But due to a lack of data, research assessment procedures centered on simple indicators that solely included publications and their citation counts. The Dimensions is one such prodigy of technological evolution like the internet in discovering the research data metrics.

This paper outlines Dimensions, the emergence of Dimensions by partnering with various development partners into a single robust platform and provides directions on implementing a free tool for research insights: Dimensions badge.

The Dimensions platform for research insights pulls together data on financing, publications, policy, patents and grants.

This tool is freely available to libraries worldwide.

In any quality improvement programme, measurement plays a vital role as it provides information for decision making. Finding the characteristics of quality is a prerequisite for the measurement process. Despite recent research on general service’s quality dimensions, little work has been concentrated on public services and in particular higher education. Examines conceptual models proposed for different environments for consistency with higher education. Reviews quality factors found in the relevant literature and presents a new framework for the dimensions of quality in higher education.

Embedding dimension determination in phase space reconstruction is difficult. The purpose of this paper is to present a new approach for embedding dimension determination based on empirical mode, showing that embedding dimensions for phase space reconstruction could be easily determined according to the number of intrinsic mode functions decomposed by empirical mode decomposition.

Through the relation analysis of intrinsic mode functions and embedding dimensions, the approach for embedding dimension determination by the number of intrinsic mode functions is presented. First, a time series is decomposed into several intrinsic mode functions. Second, correlation analysis between intrinsic mode functions and original signals is investigated, and then false intrinsic mode functions could be eliminated by the analysis of correlation coefficient thresholds, which makes the embedding dimension precise. Finally, the method presented is applied to the Lorenz system, Chen's system, and the Duffing equation. Simulation results prove this method is feasible.

A new approach for embedding dimension determination based on empirical mode decomposition is presented. Compared with G‐P algorithms, this new method is effective and decreases computational complexity.

This method provides an effective qualitative criterion to the selection of embedding dimensions in phase space reconstruction.

This method could be used to determine embedding dimensions of phase space reconstruction and degree‐of‐freedom of nonlinear dynamical systems.

The paper proposes a new method of embedding dimension determination in phase space reconstruction.

The purpose of this paper is to provide a solution for differentiating must‐be and attractive quality dimensions of the Kano model.

The distance between the three curves of must‐be/attractive dimensions has been assumed as equal and the linear logarithmic transformation has been used in order to compute new k (Kano category) values for differentiating the dimensions. Then, the new values have been examined in a case study at the Amin Parvaz air travel agency in Isfahan and the results have been compared with those of the traditional Kano approach.

The new methodology as an example suggests k‐values of 2, 3 and 4.5 for less, moderate and more must‐be dimensions, respectively; and 0.5, 0.7 and 0.98 for less, moderate and more attractive dimensions, respectively. Also, the results of the case study indicate that the new methodology is significantly effective in differentiating Kano dimensions and provides more accurate prioritization of the dimensions compared to the traditional approach.

Although the new methodology evolutes the Kano methodology and could benefit other quality tools and techniques such as quality function deployment more effectively, the case study is limited only to a particular service company and the questionnaire is long and time‐consuming.

The proposed solution provides new enhancement into the knowledge of quality management. It is believed that the proposed approach facilitates analysis and decision making, particularly in cases where the frequency of attractive, one‐dimensional and must‐be dimensions are equal.