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This study analyzed segment differences of student preference for video use in lecture classes and university use of video lecture classes. The authors then conducted novel gap analyses to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. Multivariate analysis of variance (MANOVA) was used to identify significant factors that explain the gaps.

Segment differences of student preference for video use in lecture classes and university use of video lecture classes were analyzed. Novel gap analyses were then conducted to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. MANOVA was used to identify significant factors that explain the gaps.

Gap analysis of video preference relative to video exposure showed a bimodal distribution, with an approximately even split between students with an overall deficit (44.5%) and surplus (47%) of in-class videos. Deficit means students preferred to see more videos than what the lecturer showed them. Surplus means the lecturer showed students more videos than they preferred to see. Further analyses break down the deficits and surpluses based on the type of videos shown.

Results are useful as an effective diagnostic tool for education managers because they are not at the individual student level but rather by course level. One implication for educational managers is that a one-size-fits-all approach for all courses will benefit some students and annoy others.

This paper extends Alpert and Hodkinson’s (2019) findings by identifying preference clusters and performing segmentation analyses based on finer-grained disaggregated data analysis.

The aim of the research is to estimate the level of the early career gender wage gap in Russia, its evolution during the early stages of a career, gender segregation and discrimination among university graduates, and to identify factors which explain early career gender differences in pay. Special emphasis is placed on assessing the contribution of horizontal segregation (inequal gender distribution in fields of studies and industries of employment) to early-career gender inequality.

The study is based on a comprehensive and nationally representative survey of university graduates, carried out by Russian Federal State Statistics Service in 2016 (VTR Rosstat). The authors use Mincer OLS regressions for the analysis of the determinants of gender differences in pay. To explain the factors which form the gender gap, the authors use the Oaxaca-Blinder and Neumark gender gap decompositions, including detailed wage gap decompositions and decompositions by fields of study. For the analysis of differences in gender gap across wage distribution, quantile regressions and quantile decompositions based on recentered influence functions (RIFs) are used.

The study found significant gender differences in the early-career salaries of university graduates. Regression analysis confirms the presence of a 20% early-career gender wage gap. This gender wage gap is to a great extent can be explained by horizontal segregation: women are concentrated in fields of study and industries which are relatively low paid. More than half of the gender gap remains unexplained. The analysis of the evolution of the gender wage gap shows that it appears right after graduation and increases over time. A quantile decomposition reveals that, in low paid jobs, females experience less gender inequality than in better paid jobs.

The analysis has some important policy implications. Previously, gender equality policies were mainly related to the elimination of gender discrimination at work, including positive discrimination programs in a selection of candidates to job openings and programs of promotion; programs which ease women labour force participation through flexible jobs; programs of human capital accumulation, which implied gender equality in access to higher education and encouraged women to get higher education, which was especially relevant for many developing countries. The analysis of Russia, a country with gender equality in access to higher education, shows that the early career gender gap exists right after graduation, and the main explanatory factor is gender segregation by field of study and industry, in other words, the gender wage gap to a high extent is related to self-selection of women in low-paid fields of study. To address this, new policies related to gender inequality in choice of fields of studies are needed.

It has been frequently stated that gender inequality appears either due to inequality in access to higher education or after maternity leave. Using large nationally representative dataset on university graduates, we show that gender equality in education does not necessarily lead to gender equality in the labour market. Unlike many studies, we show that the gender gap in Russia appears not after maternity leave and due to marital decisions of women, but in the earliest stages of their career, right after graduation, due to horizontal segregation (selection of women in relatively low-paid fields of study and consequently industries).

To investigate the application of multi‐attribute utility theory (MAUT) to aid in the decision‐making process when performing benchmarking gap analysis.

MAUT is selected to identify the overall best‐in‐class (BIC) performer for performance metrics involving inventory record accuracy within a public sector warehouse. A traditional benchmarking analysis is conducted on 14 industry warehouse participants to determine industry best practices for the four critical warehouse metrics of picking and inventory accuracy, storage speed, and order cycle time. Inventory and picking tolerances are also investigated in the study. A gap analysis is performed on the critical metrics and the absolute BIC is used to measure performance gaps for each metric. The gap analysis results are then compared to the MAUT utility values, and a sensitivity analysis is performed to compare the two methods.

The results indicate that an approach based on MAUT is advantageous in its ability to consider all critical metrics in a benchmarking study. The MAUT approach allows the assignment of priorities and analyzes the subjectivity for these decisions, and provides a framework to identify one performer as best across all critical metrics.

This research study uses the additive utility theory (AUT) which is only one of multiple decision theory techniques.

A new approach to determine the best performer in a benchmarking study.

Traditional benchmarking studies use gap analysis to identify a BIC performer over a single critical metric. This research integrates a mathematically driven decision analysis technique to determine the overall best performer over multiple critical metrics.

The objective of this paper is to propose a model for assessing the quality of service at various interfaces of supply chain using third party logistics.

Based on a rich combination of extensive literature review and insights gained through exploratory interviews, gap analysis methodology is used in developing the model. This was followed by an in‐depth analysis of gaps at various interfaces in supply chain. Further, both qualitative and quantitative techniques are suggested for data collection and analysis.

The key gaps in both the directions (forward and reverse) that are likely to affect the service quality at different levels are extensively defined. These gaps may exist between a 3PL service provider and the manufacturer, the marketing function and the 3PL service provider, etc. The paper also proposes frameworks such as data envelopment analysis for measurement of these gaps. A set of possible performance indicators is also proposed at various interfaces in supply chain.

This proposed model is an attempt to explore the relatively less explored area. It is expected that this research will further motivate researchers to work in this area. This supply chain service quality tool will be beneficial to practising managers in identification of opportunities for improvements in service quality.

This paper explores some critical issues in the less explored area and offers practical help to researchers and practitioners in providing a direction for supply chain service quality improvement.

In recent years, economic, environmental and social sustainability has become one of the fastest-growing research fields. The number of primary and secondary papers addressing the triple bottom line is growing significantly, and the supply chain (SC) management discipline is in the same wave. Therefore, this paper aims to propose a novel tertiary systematic methodology to explore, aggregate, categorise and analyse the findings provided by secondary studies.

A novel tertiary systematic literature review approach, including 94 secondary studies, is proposed and used to analyse sustainable SC literature. The papers have been analysed using a research protocol, including descriptive and content analysis criteria.

This tertiary study does not only provide an overview of the literature on the topic of sustainability in SCs but also goes further, drawing up a categorisation of main research areas and research perspectives adopted by previous researchers. The paper also presents a rank of research gaps and an updated and a prioritised agenda.

This paper provides a novel interpretation of the research topics addressed by the secondary studies and presents a new classification of the literature gaps and their evolution. Finally, a dynamic research compass for both academicians and practitioners is presented.

The purpose of this paper is to identify the “selling points” for Open University Malaysia (OUM) to be used in its marketing activities and the “critical points” that OUM should focus on for further improvements in providing its services to its students. These selling and critical points are derived from the analysis of the importance and satisfaction data collected from OUM’s postgraduate students.

This study employs a two-dimensional, i.e., Importance-Satisfaction Survey which consists of 47 items, categorized under eight dimensions. Items are phrased as positive statements and students are asked to indicate how important it is to them using a seven-point Likert scale ranging from not at all important (1) to very important (7). They are then asked to rate their level of satisfaction, using the same scale from very dissatisfied (1) to very satisfied (7). A total of 709 postgraduate students responses were used in this study. A multiple regression analysis was conducted to explain the relationship between the dependent variable, overall satisfaction and eight independent variables. The “selling points” and “critical points” are determined by combining the quadrant and gap analyses. The “selling point” items are the high-importance-high-satisfaction (HIHS) items with relatively small gap scores while the “critical points” are those in the high-importance-low-satisfaction and HIHS quadrants with relatively large gap scores.

The overall results of the Importance-Satisfaction Survey showed that the postgraduate students are generally satisfied with OUM’s programmes and services. The multiple regression analysis of all dimensions against overall satisfaction as the dependent variable showed that the five dimensions of facilitator, curriculum, faculty, support services and learning centre account for 75.7 per cent of the variation in overall satisfaction. The selling points include: the learning management system (MyVLE), online registration, course contents, modules and facilitators. The critical points include those related to facilitator interaction and feedback, students’ sense of connectedness with the faculty staff, timely responses to enquiries and complaints and accessibility to digital library and learning centre staff.

Importance-Satisfaction Surveys can be used to help an institution to identify the services and facilities that can be marketed and also those that need to be improved in order to better meet its students’ expectations.

While many similar studies had been conducted elsewhere, this study had identified the “selling points” and “critical points” which are unique to OUM. In addition, most previous studies were focused on conventional institutions, carried out in many different countries with differing learning environments and cultures.

The purpose of this paper is to conduct a meta-analysis of existing research on gender discrimination/gender gap and women in Science, Technology, Engineering and Mathematics (STEM) in the UAE, specifically, and Middle East and North Africa (MENA) and Gulf Cooperation Council (GCC) countries in general because of very limited number of articles published on the subject. It will give future researchers insights into the topics, methodologies and findings of such research from 1999–2019.

This study conducts a meta-analysis of 72 articles using the Wildcard operator search method and the Boolean operator to perform an integrative literature search related to gender discrimination studies done in relationship to or specific to the UAE.

In total, 88 papers related to the UAE and gender gap and women were identified. The articles were narrowed down to the ones published in high-ranked or Scopus journals (72). The findings suggest a decreasing trend in gender discrimination, but the issue still persists, requiring efforts from policy-makers, society and government to ensure gender parity is achieved. Academic research on women in STEM/SET workplace, specific to the UAE and the region, continue to slowly advance, with very few articles published in the same.

The study provides insights into gender gap research done in the past ten years specific to the UAE national women and gender gap in general and their career choices and prospects in the STEM/SET domain.

There is a need to focus research on Emirati women in STEM careers to develop more insights into gender gap perceptions of Emirati women and identify challenges and methods to close the gender gap in STEM careers.

This paper brings a holistic perspective to the meta-analysis of research on the gender gap and women in the UAE’s STEM domain.

The opportunities that the building information modeling (BIM) mode of project delivery presents warrant the need for the construction professionals to be adequately trained on BIM technology and processes. The purpose of this paper is to assess the training gaps that exist between the perceived and expected knowledge of BIM practice among construction professionals in Nigeria.

The study was carried out through a structured questionnaire survey administered on identifying training gaps among registered Nigerian construction professionals toward BIM adoption. Relevant information on the perceived and expected BIM mode of practices was systematically collected from 212 participants who are familiar with BIM concepts. The data generated were analyzed using descriptive statistics and gap analysis.

Gap analysis was employed in determining the significance of BIM training gap for various practices among the construction professionals. The most significant gaps in BIM practice with gap analysis value>1 are the project review technique and clash detection for architectural practice. Among quantity surveyors, cost estimating, preparation of bills of quantities and project budgeting are the practice areas where there are significant training gaps in adopting BIM. For engineering practices, the gap analysis reveals a significant training gap in design creation and coordination, as-built-modeling, clash detection and space management.

The research is limited to the perception of the respondents on actual and ideal BIM practices, not considering the process workflow, facility requirements and other issues that revolve round BIM adoption and implementation. It is also limited to professionals in the industry, and further studies will be appropriate to address these limitations.

The study reveals that there is a great need to meet the training gaps for BIM adoption in ensuring efficiency of construction project delivery.

The gaps that exist between the actual and expected BIM training were statistically established.

The purpose of this paper is to propose the microeconomics concept of elasticity to estimate the SERVQUAL gap elasticity to derive important insights for service providers to develop the right strategies to bridge the overall gap in service.

The dimensions of SERVQUAL adopted from Parasuraman et al. (1988) and Kumar et al. (2009) are first verified for their unidimensionality using structural equation modeling and reliability in the context of United Arab Emirates banking industry. Furthermore, the technique of dominance analysis is used to derive the relative importance of dimensions for different groups of banks. Finally, the stepwise log-linear regression models are used to estimate the gap elasticity to measure the responsiveness of the overall SERVQUAL gap to a change in customers’ perception on different dimension.

The results reveal that the dimension which is prioritized as the most important dimension need not to be the one to be targeted under the resource constraint to react faster to the changes of customers’ banking behavior.

This is probably the first attempt to examine the service quality through gap elasticity. This method is especially useful when the traditional approach to measure relative importance of critical factors fails to clearly discriminate between two or more dimensions, which, in turn, may lead to failure in decision making to choose the right strategies to bridge the overall gap in the service.

The corporate ethical behavior is a subject that instigates the reflection and practice of researchers and managers in general. Companies dedicate efforts to offer something valuable to society, making profits and usually doing it in compliance with the current legal system. Specifically in marketing activities, there is a higher potential for conflict between the business conduct and the expectations of society. The purpose of this paper is to analyze the ethical gap of the marketing activities of companies in the Brazilian and French markets.

As a conceptual framework, the authors adopted the main theories on marketing activities, ethical behavior in marketing and business conduct. The field research was divided into three stages: qualitative research with experts, quantitative research with business managers and validation of results with experts. The analysis of results of the quantitative research with business managers was supported by multivariate analysis techniques, namely, descriptive analysis, cluster analysis and regression analysis.

In the analysis of results of this study, the authors present the main marketing behaviors in the perception of business ethics in the Brazilian and French markets. In addition, as the main result of the research studies, the authors propose a model for the analysis of ethical gaps in marketing.

The paper proposes a model of analysis of ethical gaps in marketing that relates the omissive and comissive behaviors according to the pressure that society imposes on markets.

The paper presents the main marketing behaviors in the perception of business ethics in the Brazilian and French markets. Thus, understanding what are the main marketing behaviors associated with the perception of business ethics allows the organization to leverage its marketing behaviors that are more positive and further develop less positive marketing behaviors.

As the main contribution, this paper proposes a model of analysis of ethical gaps in marketing that relates the omissive and comissive behaviors according to the pressure that society imposes on markets. The model allows the identification of the negative marketing behaviors in the four quadrants designated as opportunism, negligence, recklessness and incompetence. By mapping the problems, it is possible to minimize or eliminate the differences between the marketing behaviors of the company and the expectations of society.