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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 study is threefold: to use an innovative metafrontier‐to‐data‐envelopment analysis (MDEA) model incorporating multiple outputs and inputs – including the item revenue, gross profit, food costs, time‐driven labor costs, and other operating expenses (OOEs) – to distinguish four quadrants based on efficiency and profit to offer different strategies to the restaurateur under study; to compare the proficiency levels of the different meal categories of the à la carte and combo set menus using the metatechnology ratio (MTR) via the MDEA; and to use slack‐based analyses with simulation to improve the financial performance of a teppanyaki‐style restaurant.

Six months of point of sale (POS) data are obtained from a teppanyaki‐style restaurant. The proposed inputs are categorized into total food costs, total labor cost, the number of processes, and OOEs. Two outputs (total revenue and gross profit) are used to assess the efficiency of the menu items. The MTR is used to differentiate the proficiency level of the heterogeneous meal categories and to create four quadrants based on the efficiency index and financial performance.

The MTR is lower for the combo set category than for the à la carte category. Four quadrants are obtained based on the efficiency and financial performance to provide further menu suggestions. The MDEA analysis yields menu suggestions that could enhance the overall efficiency and profitability of the menu items. A simulation using these two models is conducted and shows that the restaurant profitability would be 22 percent greater using the MDEA than using the menu engineering model.

Because there are no publicly listed teppanyaki‐style restaurants in Taiwan and it is difficult to find the same menu in different restaurants, this study consists of only a single restaurant, and the results may not be generalizable to other types of restaurants.

This paper contributes to menu analysis by establishing an efficiency index and using financial performance as criteria for determining which menu items to improve in a teppanyaki‐style restaurant. The MTR of the metafrontier model can differentiate the proficiency level of the heterogeneous categories, such as à la carte and combo set menus. This paper offers empirical results pertaining to the classification of menu items and describes a slack‐based analysis for improving menu items.

This study aims to explore the difference in cognitive strategy use during observed occupational performance between and within different levels of impaired awareness of deficits of individuals with acquired brain injury (ABI).

A cross-sectional study (N = 24) of individuals with ABI receiving rehabilitation and with the capacity to demonstrate goal-directed behaviour (Allen cognitive level screen score = 4.0) was undertaken. Cognitive strategy use during occupational performance of daily activities (measured with the perceive, recall, plan and perform [PRPP]) was evaluated between and within different awareness levels (awareness levels measured by the self-regulation skill interview). Statistical analyses, using independent t-test, Mann Whitney U test, ANOVA and Friedman test, were executed.

Significant differences were shown for both strengths and weaknesses in cognitive strategy use between emergent (n = 13) and anticipatory awareness (n = 11) groups on PRPP items “perceive”, “sensing” and “mapping”; and “searches”, “recall steps”, “identify obstacles”, “calibrates”, “stops”, “continues” and “persists”. Within emergent awareness group, participants scored lowest related to “perceive”, “plan”, “sensing”, “mapping”, “programming” and “evaluating”. Within anticipatory awareness group, participants scored lowest related to “plan”, “programming” and “evaluating”.

This study showed differences in cognitive strategy application during task performance in individuals with emergent or anticipatory awareness deficits that fit with theoretical expectations. It is recommended to make use of the PRPP assessment results (strengths and weaknesses in cognitive strategy application) to support the level of awareness determination. The PRPP assessment results and the level of awareness tailor the clinical reasoning process for personalised intervention planning and cognitive strategy training.

Because impaired awareness has so much impact on the course and outcome of rehabilitation (Rotenberg-Shpigelman et al., 2014), in clinical practice, it is of paramount importance to be aware of the level of awareness of the client (Smeets et al., 2017) and the effect on occupational performance.

This study aims to identify the regions with a high risk of natural disaster, estimate the proportion of households potentially participating in natural disaster insurance and analyze the relationship between disaster risk index and proportion of household potentially participating in natural disaster insurance.

Descriptive and quadrant analysis was applied on the 2019 Indonesia Disaster Risk Index (IRBI) scores and the 2019 National Socio-Economic Survey data.

The results showed there are only two categories of disaster risks in Indonesia based on IRBI categorization: “Medium” and “High.” Some districts in Aceh Province such as Simeuleu, Pidie Jaya and Banda Aceh City were observed to have a high proportion of households potentially participating in the natural disaster insurance while some in Jawa Tengah provinces have fairly low level even though they were categorized as high disaster-prone areas. Moreover, the quadrant analysis showed that 43 districts have high IRBI scores but low insurance participation rates with most discovered to be in Jawa Barat and Sumatera Selatan provinces.

Indonesia does not have a financial mitigation program up to the present time because almost all disaster resolutions are formulated based on emergency funds from the state budget even though it is important to use insurance schemes in all stages of disaster management. To the best of the authors’ knowledge, this study is the first attempt to identify households potentially participating in natural disaster insurance through the National Socio-Economic Survey in Indonesia.

Describes a method to analyze competitive standing of a product, brand or made‐in label vis‐à‐vis its competitors. Presents the results of an illustrative case study and discusses their implications.

Purpose — This chapter presents the methods used to explore transport issues in the study questionnaire. It outlines how transport disadvantage was measured and how transport issues such as forced car ownership, coping strategies, residential location choice and fuel price impacts are explored.

Methodology — The focus of the chapter is methodology description rather than analysis. Questionnaire design is the major method adopted. Much of this is based on previous approaches documented in the research literature.

Findings — Both objective (e.g. trip rates) and subjective methods (self-reported access problems) are used to measure transport disadvantage. The latter included exploring a series of possible problems with travel. A quadrant analysis measuring both the importance and the level of difficult respondents had with aspects of travel was adopted to explore transport disadvantage in more depth. Transport disadvantage was also explored with regard to difficulties in accessing activities due to transport problems. A range of other questions were developed to explore issues of low/zero-car ownership, forced car ownership, coping strategies, residential location choice and fuel price impacts.

The purpose of this paper is to identify macro-environmental critical success factors (CSFs) and key areas for improvement for public-private partnerships (PPP) in infrastructure development, using Indonesia as a case study.

The methodology includes the definition of CSFs based on the United Nations for Economic and Social Commission for Asia and the Pacific's self-assessment diagnostic tool and a survey on importance and performance attributes, the application of gap analysis (GA) and importance-performance analysis to prioritize areas needing urgent improvements, and the use of inter-rater agreement analysis to examine to what extent the ratings tend to converge on the same conclusions regarding importance and performance.

Out of 40 possible success factors, a total of 16 are identified as CSFs in the context of Indonesia. GA suggests that no performance ratings exceed importance ratings for the identified CSFs, indicating the need for remedial actions. The factors requiring immediate improvements are all associated with commitments: to policy continuity, financial transparency, and corruption eradication.

Although the paper discussing a specific country, the proposed approach is replicable and adaptable in different country contexts. Indonesia's experience can also be of value to governments facing similar problems in encouraging private investment in infrastructure.

The paper contributes to the body of knowledge on PPP in infrastructure development by focussing exclusively on macro-environmental CSFs and Indonesia's PPPs, which are both rarely discussed in the existing literature.

This study aims to investigate the performance of open-plan office layouts and to identify occupants’ concerns in existing open-plan office layouts.

Workplace activity questionnaire (WAQ) was administered in the form of an online survey in March 2019, as part of a design briefing process for the expansion of the office facilities located in Bangalore, India, for a Fortune 100 software technology company. A total of 4,810 questionnaires were distributed and 3,877 responses were received (80.6% response rate). After that, 849 incomplete responses were eliminated from the analysis, resulting in a final sample size of 3,028. The questionnaire included 11 key activities conducted by the office workers and established the gap between the workers’ perceived importance and support from their existing facilities using a five-point Likert scale.

The findings of this study provide strong evidence that different physical environments influence the satisfaction of occupants. An improvement of the facilities, especially by enabling areas for quiet working, should be prioritized in relation to the other activities surveyed. Also, office workers perceived significantly different support levels for quiet working depending on their department, while there was no significant difference between the workers of different buildings.

Individual demographic information was not collected because of the possibility of personal identification. There was also a lack of objective environmental measures, such as temperature and noise level. Thus, the quality of indoor environments was unknown. In this study, some respondents mentioned dissatisfaction with indoor environmental quality, including noise, temperature and air quality in their comments.

In the programming stage of a workplace design process, the WAQ survey tool has value because it renders important insight into the perception of a live workplace, which can then be used to determine priorities for a design effort. It clearly identifies the areas to focus on, ask questions about and develop improvements. Validating its reliability will enhance its credibility and confidence in its use. In addition, the large sample size provides statistical advantages in the data analysis, providing a higher likelihood to find a true positive of the findings of the study. Also, having a relatively high response rate provides an advantage of mitigating the risk of having non-response bias in the analysis.

After interviewing teachers about their beliefs on discussion, the author observed four English teachers as they led class discussions. The purpose of this study is to see what kinds of discussion were happening, and what teachers were doing to facilitate those discussions.

The author observed six English class sessions with discussion as a technique and transcribed each. To analyze the discussion events (DEs), the author focused on the addressivity of the teachers’ comments, and plotted the DEs on a four-quadrant system of analysis. The quadrants helped to move beyond the value-laden dichotomy between monologic and dialogic discussion, and to better understand what teachers are doing.

The majority of class sessions were classified as convergent-active but teachers used a variety of discussions. In particular, teachers were concerned about control, so they used three techniques to keep procedural control as follows: taking over the discussion, creating specific procedures and using the Initiation-Response-Evaluation format in different ways.

Instead of focusing on a dichotomy this method of analysis opens up the possibility for labeling different kinds of dialogic instruction, like the teacher-as-conductor form of convergent-active discussions. This can help teachers understand that addressivity and purpose matter as they create their discussions but also that various forms of discussion are necessary in the classroom. Incorporating dialogic instruction has been difficult for teachers; this method can help describe what they are doing while not devaluing the kinds of discussion that are taking place.

To provide an organisation or supply chain with the means to analyse their current business foundations prior to the adoption of a new technology for the assessment of successful adoption.

The objectives were to analyse and aid the successful adoption of new technology. This was achieved by the construction of three models from previously conducted research focusing on electronic commerce for application research.

The research clearly identified a link between an organisation's structure and ease of new technology adoption. This link is the bind between the categories developed for the models and reflects “best fit” for generic organisational analysis.

A questionnaire was used to fuel the models. It included evenly weighted questions. This led to the category results being based on mid‐point scaling. Both the weighing and model scaling are to be addressed in further research assisted by the results from the application of the questionnaire, models, results and organisation follow‐up analysis.

The models provide a pre‐adoption analysis that can produce a general view towards success, with relatively no expenditure.

The three models are new. The target model is the main construction that has been developed over a number of years. The construction comprises of human resources, processes, organisational culture, and management styles, these elements have not been brought together in this way before to analyse the adoption of new technology in an organisation or supply chain. The models are generic and can be applied to all industries and types of business.