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The purpose of this paper is to critically review and synthesize the scale development practices in hospitality and tourism and propose updated guidelines applicable for both reflective and composite scales.

Using a critical review of a sample of scale development papers published in six top-tier tourism and hospitality journals, the current guidelines' weaknesses and strengths and their applications are identified. Updated procedures are proposed to overcome these weaknesses.

This review showed several issues in applying existing guidelines, including incomplete and unclear data collection processes, inconsistent data analysis processes including validity/reliability assessment and lack of criteria to identify and assess composite scales. As such, this paper proposes updated guidelines by incorporating the confirmatory composite analysis to assess composite scales.

This paper offers unique theoretical and methodological contributions to scale development literature, by identifying the shortcomings of current practices of scale development and propose guidelines for both reflective and composite scales. The current scale development procedures cannot be applied for composite scales, and so the results of composite scale development using the current procedures are questionable. The updated guidelines by the current study improve new scales' accuracy, reliability and validity.

The purpose of this paper is to investigate the mechanical properties’ behaviors of woven composite cut-out structures with specific parameters. Because of the complexity of micro-scale and meso-scale structure, it is difficult to accurately predict the mechanical material behavior of woven composites. Numerical simulations are increasingly necessary for the design and optimization of test procedures for composite structures made by the woven composite. The results of the proposed method are well satisfied with the results obtained from the experiment and other studies. Moreover, parametric studies on different plates based on the stacking sequences are investigated.

A multi-scale modeling approach is suggested. Back-propagation neural networks (BPNN), radial basis function (RBF) and least square support vector regression are integrated with efficient global optimization (EGO) to reduce the weight of assigned structure. Optimization results are verified by finite element analysis.

Compared with other similar studies, the advantage of the suggested strategy uses homogenized properties behaviors with more complex analysis of woven composite structures. According to investigation results, it can be found that 450/−450 ply-orientation is the best buckling load value for all the cut-out shape requirements. According to the optimal results, the BPNN-EGO is the best candidate for the EGO to optimize the woven composite structures.

A multi-scale approach is used to investigate the mechanical properties of a complex woven composite material architecture. Buckling of different cut-out shapes with the same area is surveyed. According to investigation, 45°/−45° ply-orientation is the best for all cut-out shapes. Different surrogate models are integrated in EGO for optimization. The BPNN surrogate model is the best choice for EGO to optimization difficult problems of woven composite materials.

In this study, waste iron scale, which occurs in high amounts during steel production and contains high amounts of iron element, was used as a reinforcing material in the polypropylene (PP) matrix.

In the PP matrix, 33 micron-sized iron scale was added at 5%, 10%, 15% and 20% ratios. The composites were subjected to mechanical and dry sliding wear tests. The wear mechanisms occurring on the wear surfaces were determined by SEM supported by EDS. Tensile testing was performed using a tensile tester. Hardness tests were performed using a Shore-D hardness tester with ASTM-D-22 standards.

Composite reinforced with 5% iron scale showed the highest tensile strength. The addition of higher amounts of iron scale particles reduced the tensile strength of the composites compared to PP. Hardness increased from 58 to 64 Shore-D with the increase in scale content. The reinforcement of PP with iron scale increased the dry sliding wear resistance.

According to the authors’ knowledge, in the literature review, there was no study found on the effect of iron scale reinforcement on PP.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2020-0316/

The present study aims to specify, estimate, and validate the composite formative model of consumer eSports engagement (CeSE) through utilizing the composite confirmatory analysis (CCA) methodological approach.

To validate the composite model of CeSE, we collected the data using the Mturk online tool from eSports gamers located in European countries. The partial least squares based structural equation modelling (PLS-SEM) approach was employed using SmartPLS to conduct CCA analyses.

Using CCA, the authors first evaluated the reflective constructs (three first-order dimensions comprising cognitive, affective, and activation) and found reliable and valid reflective constructs. The authors then proceeded to assess the composite formative model of CeSE at higher-order level and resulted that CeSE is a valid composite model. Besides, the nomological network of CeSE with technology acceptance variables (e.g. behavioral intention and usage behavioral were estimated and found significant results).

This study contributes to consumer engagement literature in many directions. First, this study applies consumer engagement scale in the eSports context (i.e. eSports game brands). Second, this study notably specifies, estimates, and validates CeSE as composite model comprising cognitive, affective, and activation factors as first-order reflective constructs and CeSE as second/higher-order formative construct. Third, this study applies CCA guidelines to establish the CeSE as a composite formative measurement model and make significant methodology contribution. Fourth, this study extends the TAM model via studying CeSE as an important determinant of behavioral intention to play eSports games, which in turn impacts on eSports gaming/usage behavior.

To explore the feasibility of utilizing the Bar-On mixed model of emotional–social intelligence as a framework for the competencies and traits needed for reference and information services librarians. Through a survey of the literature, the author created a baseline list of competencies, which was compared and contrasted with the abilities, traits, and competencies that comprise the Bar-On model of emotional–social intelligence. The author conducted a pilot study with a small group (n = 10) of reference and user services librarians who took the EQ-i 2.0. The competencies and traits of reference and user services librarians identified in the literature compare favorably with those measured by the EQ-i 2.0. Overall, a majority of the participants (70%) obtained a total score on the EQ-i 2.0 in the mid or high range. Composite scales with the highest overall mean scores were decision-making and self-perception. Subscales with the highest scores included the following: impulse control, self-actualization, social responsibility, problem solving, and reality testing. As a pilot study, it was conducted using a small population of academic reference and user services librarians. Further research should be conducted utilizing a larger population of reference and user services librarians or librarians who have been recognized as exemplary in reference librarianship. The findings of this study could assist pre-service and in-service reference and user services librarians in further developing their emotional–social intelligence competencies and abilities by identifying areas where improvements could occur.

This paper computationally estimates the constitutive relationships of composite materials reinforced by single walled carbon nanotubes (SWNT).

A multiscale analysis is considered. At the nanoscale level, molecular dynamics (MD) are used to predict the stiffness for an equivalent beam. A BEM solver for the elasticity problems is extended to allow the presence of inclusions and hence is used to model a RVE for the composite matrix with the equivalent nanotube beams. A genetic algorithm (GA) is developed to generate an initial population of anisotropic materials based on FEM. The GA evolves the population of properties of anisotropic materials till a material is found whose mechanical response is the same as that of the nanocomposite.

The overall process is suitable for the constitutive relationships estimation according to the verification process outlined.

The present work is limited to 2D linear problems. However, extending it to 3D non‐linear applications is straight forward.

The present technique could be used to estimate properties of NCT composites, hence practical applications such as aeroplane structures or turbine blades could be analysed using commercial finite element software. The present methodology could be used to estimate non‐mechanical properties such as the thermal and electric properties.

The present computational technique has never been presented in the literature.

The purpose of this paper is first, to overview the current research situation on job embeddedness (JE), including the theoretical underpinning of JE, the definition and dimensions of JE, its comparisons with similar constructs, and its global and composite measure; second, to intergrate the unfolding model, JE and image theory to better understand voluntary turnover – and indicate future research directions.

An extensive literature search covering several separate electronic databases, including ScienceDirect, EBSCO, Kluwer and Emerald, was conducted. Most of the articles can be acquired online from The University of California Riverside. The validity and reliability are compared between global and composite scales. The authors summarized and categorized the findings of current research.

JE can be differentiated from those similar constructs and measures already in the literature. Almost all of the studies on JE have found that it predicted voluntary turnover better than job attitudes and perceived ease of movement from traditional models of turnover. Along with extended research on it, JE was disaggregated into two major sub‐dimensions, namely, on‐the‐job and off‐the‐job embeddedness, and it has been extended to occupational and career level.

In this paper, the authors use qualitative methods to evaluate the current studies on JE, only. Meta‐analysis, as a reviewing method, should be used in future research on clarifying the relationships between JE and other constructs in organizational behavior.

This research reviews almost all of the studies on JE from 2001 to 2009 and organizes and categorizes them into three kinds: cause, consequence and theoretical extension. The authors also summarize its relationships with other constructs (e.g. turnover, turnover intention, organizational commitment, organizational citizenship behavior) in various settings. Finally, based on discussion, the authors indicate future research directions.

The increasing adverse impact of human behavior toward the environment has brought in changes in research focus on environmental behavior toward the workplace. Because the employee spends one-third of his day in his workplace, the initiatives taken by the employee also have an impact on the company’s environmental stance. Therefore, the researchers gradually focus on employee green behavior (EGB) and its measurement. The study aims to devise a tool for measuring EGB.

Two studies were carried out using the survey method using the purposive sampling technique. The data were collected (Studies 1 and 2) from managers and supervisors working in manufacturing companies located in Kolkata, India.

The first study was done to extract the principal factors using an initial 30 items (N = 220). The result of the principal component analysis shows the emergence of three factors spread over 20 items with loadings above 0.40. The 20-item scale was again administered on managers and supervisors (N = 243). The second study was carried out to examine the convergent and discriminant validity as well as stability of the tool through confirmatory factor analysis (CFA) (N = 243). The result of CFA showed the presence of 16 items spread through three factors: practice and policy, digital use and recycle and reuse. Multiple fit indices support a three-factor model of the 16-item EGB scale.

The scale would be a good measure of EGB and can be used for further research. The EGB scale is a composite scale containing three major dimensions that can be used as a complete measure of EGB.

The present research aims to fill the current gap by building a comprehensive tool for measuring EGB. The present scale has also addressed the shortcoming of the previous scale and tried to include varied proenvironmental behaviors exhibited in the workplace.

The education services sector faces ever-changing global market dynamics with creative disruptions. Building knowledge brands can push the higher education sector beyond its geographical boundaries into the global arena. This study aims to identify key constructs, their theoretical background and dimensions that aid in building a global knowledge brand. The authors' research focuses on adapting and validating scales for global knowledge and education services brands from well-established academic literature.

The authors have adopted a mixed methodology approach and a systematic literature review. Authors interviewed 18 subject matter experts as part of content and face validity to arrive at select constructs, dimensions and items. Quantitative methods with random sampling were adopted as the primary methodology. Initially, the survey was administered to 390 students to test preliminary results. The survey was also administered to 5,112 students at a later part of this study. Valid responses stood at 3,244 with a 63% response rate. Further, the authors conducted confirmatory factor analysis, exploratory factor analysis and structural equation modeling to test the reliability and validity of scales. This study analyzed composite reliability, convergent validity and discriminant validity to finalize items for scales. The authors also validated the hypotheses based on the discriminant validity assessment scores.

Authors' key research findings are that academic stimulus, campus infrastructure and student intent play a significant role in campus culture and events design and experience at campus. Authors were able to bring out 16 key constructs and 55 critical dimensions vital to global education services brand building. This study also adapted and validated 99 items that meet construct validity and composite reliability criteria. This study also highlights that constructs such as student intent, academic stimulus, campus infrastructure scalability, selection mechanism, pedagogical content knowledge, brand identity, events experience and campus culture play a vital role in global brand recognition.

The authors' work is fairly generalizable to education services and the higher education sector. However, this study must be extrapolated and empirically validated in other industry sectors. The research implications of this study are that it aided the authors in building theoretical background for student brand loyalty theory, student expectation theory and study loyalty theory. This study adds to the body of knowledge by contributing to theoretical concepts on students, knowledge culture, events, infrastructure and branding. Researchers can adopt the scales proposed in this study to build research models in higher education branding. This study acts as a catalyst for building theories in education services areas. Researchers can delve deep into proposed research aspects of campus infrastructure, knowledge infrastructure, campus knowledge culture, events design and events experience.

This study aids educators and brand managers to develop global education services and optimize their effort and budget. Administrators in the education services sector must focus on practical aspects of student perception, campus infrastructure, culture and events experience. Practically administrators can reorient their efforts based on this study to achieve global brand recognition.

This study highlights that students are not customers but are co-creators of value in the education sector. This study provides scales and dimensions needed to build co-creation frameworks and models.

Most research in higher education branding has not covered wider aspects of global brand building. Existing theories proposed in higher education and education services articles cover only narrower aspects of campus infrastructure, culture, events design and branding. This study presents a comprehensive list of critical factors that play a vital role in global knowledge brand building. This study highlights the constructs and scales integral to building a global education services brand.