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This study aimed to develop a psychometrically reliable job satisfaction (JS) measure for university employees, guiding administrative decisions and monitoring satisfaction over time in public universities.

A JS survey developed by a Brazilian federal university’s sustainability committee containing 58 items across physical, cognitive and organizational domains was longitudinally tested with 1,214 responses collected. The data were analyzed using Item Response Theory (IRT) analysis, employing the Graded Response Model, with tools such as frequency analysis, item characteristic curve, and full-information factor analysis in RStudio. The scale’s criterion validity was also established via expert qualitative interpretation.

The instrument’s internal consistency was confirmed as the results demonstrated its high reliability with a marginal reliability coefficient of 0.95. Significant findings revealed that recognition and supervisor relationships were key discriminators of JS and that workers began to perceive satisfaction when basic environmental conditions were met.

It is important to mention that the application of this scale is specifically limited to higher education institutions and may not be directly applicable to other educational settings or industry sectors without modifications.

Although numerous measures and scales have been developed to assess JS, one elaborated by using IRT in a public university environment was lacking. Due to shifting dynamics in the workplace, traditional measurement of JS has proven inadequate, necessitating a more precise, accessible and updated tool. The developed scale allows precisely targeted interventions to improve JS and can be reapplied to evaluate their effectiveness. This research thus contributes a valuable tool for academic organizational psychology, enhancing the understanding of the measurement of JS.

Research related to workplace accommodation requests for employees with mental illness is scarce, though evidence suggests that these individuals often fail to request accommodations even when needed. The authors' research study aimed to address these shortcomings by (1) assessing employees' knowledge of Americans with Disabilities Act (ADA) laws and how this knowledge influences employees' perceived need for and requests of accommodations; (2) examining the relationship between employees' perceived need for accommodations and employees' workplace outcomes and (3) examining the relationship between perceived need for accommodations and employees' actual accommodation requests, as well as how stigma influences this relationship.

The authors used two survey studies to investigate their research questions. Study 1 participants were recruited through Amazon's MTurk, and Study 2 participants were recruited through support groups for individuals diagnosed with mood disorders (i.e. depression and bipolar disorder).

The authors found significant gaps in both subjective and objective ADA-related knowledge among participants in their sample. The authors' Study 1 results also revealed an interaction between the perceived need for accommodations and accommodation requests in predicting job satisfaction and turnover intentions. When employees needed accommodations but did not request them, it resulted in worsened workplace outcomes. In Study 2, the authors aimed to identify barriers to requesting accommodations. The authors found that the relationship between perceived need for accommodations and actual accommodation requests was moderated by both public and self-stigma, thereby showing that stigma can impede individuals from requesting needed accommodations at work.

The authors' study sheds light on a population that has been relatively understudied in the workplace accommodations literature, namely those with mental illness. The authors first identify the perceived need for accommodations as an important factor in making accommodations requests at work, as prior work has failed to differentiate how the need for accommodations can vary across individuals. Next, the authors show how workplace outcomes (i.e. job satisfaction and turnover intentions) are negatively affected when employees need accommodations but do not request them. Finally, the authors demonstrate how both public stigma and self-stigma can reduce the likelihood that individuals request accommodations at work, even when needed.

This study aims to develop and validate a multidimensional scale to measure the motivating factors that lead to opportunity recognition in social entrepreneurship among higher education institute (HEI) students.

The scale was developed through two phases; in phase 1, semi-structured interviews with social entrepreneurs and aspiring students were conducted to explore themes for item generation. Phase 2 included developing and validating the scale using exploratory (EFA) and confirmatory factor analysis (CFA). The sample included HEI students (n = 300 for EFA, n = 300 for CFA) with either academic background or volunteering experiences in social entrepreneurship.

A 24-item scale is developed in the study, with six factors measuring the motivating factors influencing opportunity recognition in social entrepreneurship: life experiences, social awareness, social inclination, community development, institutional voids and natural option for a meaningful career.

The scale facilitates the development of theories and models in social entrepreneurship. The scale also enables policymakers and social entrepreneurship educators to understand the motivating factors that lead to opportunity recognition among students. It would help them to provide target-specific support to students.

To the best of the authors’ knowledge, this study is the first attempt to develop a scale that measures opportunity recognition in social entrepreneurship based on specific motivating factors. The study used the model by Yitshaki and Kropp (2016) as the conceptual framework. This study is the first attempt to triangulate the model’s findings using a quantitative methodology and through the development of a measurement scale. Besides, the scale adds value to social entrepreneurship research, which lacks empirical research on HEI students.

The purpose of this study was to develop a scale that can be used to assess inequality at work based on gender, age and ethnicity that is grounded in Acker’s (2006) inequality regimes.

The authors used three representative samples (total N = 1,806) of Swedish teachers, nurses and social workers to develop and validate the scale. The validation process included the assessment of content validity, confirmatory factor analysis for factorial validity, internal consistency and associations with theoretically warranted outcomes and related constructs to assess criterion-related validity and convergent validity.

The authors found evidence supporting the content, factorial, criterion-related and convergent validity of the InEquality in organisations Scale (InE-S). Furthermore, the scale demonstrated high internal consistency.

The newly developed scale InE-S may be used to further the understanding of how inequality at work influences employees. This study makes a contribution to the current literature by providing a scale that, for the first time, can test Acker’s hypotheses using quantitative methods to demonstrate the consequences of inequality at work.

This study aims to focus on assessing the psychometric properties necessary to validate the internal structure of the TOURQUAL scale.

A quantitative research study was conducted in collaboration with the Brazilian Network of Tourism Observatories, comprising 927 respondents surveyed between October 2021 and May 2022. The data analysis involved the application of descriptive statistics and exploratory factor analysis, in alignment with the principles outlined in the Standards for Educational and Psychological Testing 2014 to validate the scale.

The findings of this study validate the TOURQUAL scale as a robust tool for assessing the perceived quality of tourist services, with results demonstrating one-dimensionality and replicability.

To the best of the authors’ knowledge, this study is the first to assess the psychometric properties for validating the internal structure of the TOURQUAL scale.

This study evaluated the impact of a faculty training program on student assessment using the Kirkpatrick model.

A self-reported survey assessed 111 Saudi and non-Saudi participants' satisfaction. Subjective and objective measures (self-reported measures, assessment literacy inventory and performance-based assessment tasks) gauged participants' learning level. Pre- and post-training data were collected from 2020 to 2022.

A highly significant effect on satisfaction (>80%) and learning levels was observed, as manifested by workplace practices of student assessment (>70%, the cut-off score). Pre- and post-training comparisons of participants' satisfaction and assessment literacy scores showed significant improvements following training. Multiple regression analyses showed no significant effects for gender and educational attainment but a substantial impact of academic cluster on participants' student assessment skills.

Long-term effects of training faculty on assessment practices and student achievement will be studied at the institutional level in future research.

The current study contributes to human capital investment via faculty training on student assessment, helping them comply with assessment best practices. This assures the quality, fairness and consistency of assessment processes across disciplines in higher education institutions, enhances assessment validity and trust in educational services and may support institutional accreditation.

This study provides opportunities for sharing best practices and helps establish a community of practice. It enhances learning outcomes achievement and empowers higher education graduates with attributes necessary to succeed in the labor market. The human capital investment may have a long-term impact on overall higher education quality.

This study contributes to the scarce literature investigating the impact of training faculty from different clusters on student assessment using subjective and objective measures. It provides developing and evaluating a long-term student assessment program following the Kirkpatrick model.

This study aims to analyze the capacity of ecotourists to exhibit behavior that aligns with the ecotourist scale using the Rasch model measurement.

The data was gathered using an online survey incorporating the five tenets of ecotourism using a seven-point rating scale on domestic tourists in Indonesia. Descriptive statistics, cross-tabulation and Rasch model measurement were used to analyze the data.

The ecotourist identification scale measurement items were reliable and satisfactory. The most challenging behavior for ecotourists was using the services of a tour guide who was concerned about the environment. Meanwhile, respecting cultural differences around the tourist destination was the most accessible behavior. Most respondents demonstrated a fit response pattern and satisfactorily met the validity and reliability criteria.

This study did not compare ecotourists’ ability to behave by the type of conservation visited as its limitation. However, it provides a significant methodological contribution to developing a measurement of ecotourist behavior implemented in well-established behavioral theories.

Integrating ecotourism into education, incentivizing eco-friendly tourism practices, promoting awareness, supporting local businesses, respecting local values and ensuring safe travels.

To the best of the authors’ knowledge, this study is the first of its kind to be conducted in Indonesia. It uses a unique and innovative method to reveal the unobserved variables in ecotourists’ behavior. The findings confirm that tourists’ behaviors align with the five tenets of ecotourism.

Based on the mentoring literature, this study aims to explore the mentoring functions developed by the travel industry and develop a multiple mentoring function scale (MMFS) for tour leaders.

Study One of this research involved in-depth interviews with 23 tour leaders for establishing the initial question bank and pilot test scale. In Study Two, the initial scale was pilot tested by 225 tour leaders for identifying the factor structure through exploratory factor analysis. In Study Three, the model was verified through confirmatory factor analyses of 251 calibration samples. In Study Four, cross-validation was verified by 227 validation samples.

In Study One, through the content analyses, an initial question bank of 51 questions was established. The question bank was reviewed by 15 experts, resulting in the development of a pilot test scale of 36 questions. In Study Two, 16 questions were retained after the initial scale was pilot tested, and four dimensions were identified, including career competency, reverse mentoring, career development and psychosocial functions. In Study Three, the model was verified through confirmatory factor analyses and confirmed to have good reliability and construct validity. Finally, a first-order, four-factor scale that consisted of 16 questions was established. In Study Four, cross-validation was verified.

MMFS establishment underwent a rigorous development process, and the scale’s reliability and validity are supported. It is suggested that future research should develop and construct a multifunctional model for tour-leading professionals based on the MMFS to evaluate the long-term impact of the MMFS.

Previous studies have mainly focused on typical mentoring functions. Multiple mentoring functions derived from the characteristics of tour leaders and guides have rarely been discussed. This research can fill the gap in the application of mentoring system to human resource management research in the tourism industry. As a result, this four-dimensional multiple mentoring functions scale provides a progressive perspective and be regarded as the first version of the scale development in the tourism industry.

基于师徒文献, 本研究探讨了旅游业的师徒功能, 并为旅游领队发展多元师徒功能量表（MMFS）。

研究一, 涉及与 23 位领队的深度访谈, 以建立初始题库和预试量表。研究二, 初始量表由225名领队进行试测, 通过探索性因素分析确定因素结构。研究三, 通过验证性因素分析251个校准样本以验证模型。研究四, 由 227 个验证样本进行复合效化。

研究一, 经过内容分析, 建立了51道题的初始题库。初始题库由 15 位专家审阅, 最终形成36 个问题的预试量表。研究二, 预试量表进行预试后, 保留了16个问题, 确定了四个构面, 包括职业能力、反向师徒、职业发展和社会心理功能。研究三, 通过验证性因素分析对模型进行验证, 证实具有良好的信度和建构效度。建立了一个由 16 个题项所组成的一阶四因素量表。研究四, 复合效化获得验证。

过往的研究主要集中在典型的师徒功能上。很少有人讨论基于领队和导游的特点而衍生出的多元师徒功能。本研究填补了师徒制在旅游行业人力资源管理研究中的应用空白。因此, 这四个构面的多元师徒功能量表提供了一个渐进的视角, 被视为量表发展的旅游业第一版。

MMFS的建立经历了严格的开发过程, 量表的信度和效度得到支持。建议未来的研究应基于 MMFS开发和建构旅游领队专业人士的多元功能模型, 以评估MMFS 的后续影响。

Basándose en la bibliografía sobre la mentoría, este estudio exploró las funciones de mentoría desarrolladas por el sector de los viajes y elaboró una escala de funciones de mentoría múltiple (MMFS) para guías y jefes de grupo turísticos.

En el Estudio Uno de esta investigación se realizaron entrevistas en profundidad a 23 guías turísticos para establecer el banco de preguntas inicial y la escala de prueba piloto. Estudio Dos, la escala inicial fue sometida a una prueba piloto por 225 guías de tours para identificar la estructura factorial mediante un análisis factorial exploratorio. Estudio Tres, el modelo se verificó mediante análisis factoriales confirmatorios 251 muestras de calibración. En el Estudio Cuatro, la validación cruzada se verificó mediante 227 muestras de validación.

Estudio Uno: a través de los análisis de contenido, se estableció un banco de preguntas inicial de 51 preguntas. El banco de preguntas fue revisado por 15 expertos, lo que dio lugar a la elaboración de una escala de prueba piloto de 36 preguntas. Estudio Dos, se retuvieron 16 preguntas, tras la prueba piloto de la escala inicial, y se identificaron cuatro dimensiones, que incluían la competencia profesional, la mentoría inversa, el desarrollo profesional y las funciones psicosociales. Estudio Tres, el modelo se verificó mediante análisis factoriales confirmatorios y se confirmó que tenía una buena fiabilidad y validez de constructo. Por último, se estableció una escala de primer orden y cuatro factores que constaba de 16 preguntas. En el Estudio Cuatro, se verificó la validación cruzada.

Los estudios anteriores se han centrado principalmente en las funciones típicas de la mentoría. Rara vez se han tratado las funciones múltiples de mentoría derivadas de las características de los guías y jefes de grupo turísticos. Esta investigación puede llenar el vacío existente en la aplicación del sistema de mentoría a la investigación de la gestión de recursos humanos en la industria turística. Como resultado, esta escala de funciones de mentoría múltiple de cuatro dimensiones proporciona una perspectiva progresista y puede considerarse como la primera versión del desarrollo de la escala en la industria turística.

El establecimiento de la MMFS se sometió a un riguroso proceso de desarrollo, y la fiabilidad y validez de la escala están respaldadas. Se sugiere que en futuras investigaciones se desarrolle y construya un modelo multifuncional para guías profesionales de turismo basado en la MMFS para evaluar el impacto a largo plazo de la MMFS.

The ultimate objective of this study is to compare the impact of face-to-face and online flipped learning on students' academic achievements and their perspectives on learning and teaching, offering valuable insights to the field.

The study utilized a quasi-experimental research method that involves pre-test and post-test control groups.

The results indicated that face-to-face and online flipped learning positively impacted learning, with comparable contributions to academic achievement. However, we found that online flipped learning did not affect students' beliefs about learning and teaching, while face-to-face flipped learning positively influenced them.

As distance learning becomes increasingly important in our modern era, this research aims to explore the use of active learning methods, including discussion, writing, animation, drawing, association, analysis, knowledge measurement and games, in virtual learning environments, such as online flipped learning. The study seeks to enhance the existing literature on the impact of face-to-face and online flipped learning models on student success. Additionally, it aims to address a significant gap in the literature by determining the effect of these models on students' epistemological and pedagogical beliefs, which can impact their motivation, learning outcomes, academic achievements and decision-making processes.

To support achieving sustainable development goals (SDGs), we integrated science, technology, engineering and math (STEM) and extended reality technologies into an artificial intelligence (AI) learning activity. We developed Feature City to facilitate students' learning of AI concepts. This study aimed to explore students' learning outcomes and behaviors when using Feature City.

Junior high school students were the subjects who used Feature City in an AI learning activity. The learning activity consisted of 90-min sessions once per week for five weeks. Before the learning activity, the teacher clarified the learning objectives and administered a pretest. The teacher then instructed the students on the features, supervised learning and unsupervised learning units. After the learning activity, the teacher conducted a posttest. We analyzed the students' prior knowledge and learning performance by evaluating their pretest and posttest results and observing their learning behaviors in the AI learning activity.

(1) Students used Feature City to learn AI concepts to improve their learning outcomes. (2) Female students learned more effectively with Feature City than male students. (3) Male students were more likely than female students to complete the learning tasks in Feature City the first time they used it.

Within SDGs, this study used STEM and extended reality technologies to develop Feature City to engage students in learning about AI. The study examined how much Feature City improved students' learning outcomes and explored the differences in their learning outcomes and behaviors. The results showed that students' use of Feature City helped to improve their learning outcomes. Female students achieved better learning outcomes than their male counterparts. Male students initially exhibited a behavioral pattern of seeking clarification and error analysis when learning AI education, more so than their female counterparts. The findings can help teachers adjust AI education appropriately to match the tutorial content with students' AI learning needs.