Search results

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.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

This research aims to investigate intrinsic and extrinsic product attributes as well as the relationship between these features and customer satisfaction by confirming the moderating role of competitive intensity.

The study is conceptual and exploratory in nature, drawing on current literature and real-time experience with conceptual framework development. The information was gathered by the face-to-face survey conducted with a sample of products, specialists and customers of the Iranian food industry. A total of 19 Kalleh products and 17 industry experts were selected to identify intrinsic and extrinsic product attributes as well as competition intensity for every product. For investigating the relationship between product attributes and customer satisfaction, 342 customers' viewpoints were received and analyzed.

The results show that the nature of competition moderates the effects of interaction between product attributes and customer satisfaction. The major findings of this research include (1) when competitive intensity is low, appropriate focus on intrinsic attributes can create better customer satisfaction; (2) When a competitive level is low, better focus on appropriate external attributes can lead to customer satisfaction; and (3) When competitive intensity is high, offering proper external attributes would lead to customer satisfaction if intrinsic attributes are already offered with high quality; (4) When competitive intensity is high and a firm is focusing more on intrinsic attributes, the lack of proper intrinsic attributes can negatively affect repurchase intentions.

The findings of this study can be used as a reference for food companies developing new products in various competitive environments and making the decision whether to focus on intrinsic or extrinsic attributes.

The paper focusses on festivals taking place in coastal regions whose central element is seafood. The purpose is to analyse the role of seafood festivals as potential tourist attractions for local development. The decision to focus on coastal areas is based on a perceived knowledge gap regarding the interactions between different sectors of the sea economy.

Qualitative exploratory case studies of seafood festivals in Italy and Sweden have been performed using an analytical model. The participatory observation methodology contributed to a better understanding of the phenomenon.

The analysis shows the close relationship between seafood and tourism, and although it takes variable forms, food is a fundamental lever for maritime and coastal tourism and local development. Findings suggest that local food events can help strengthening gastronomic identities, despite there is a different articulation between tradition and marketing in the two countries.

Since this paper represents an exploratory study of five seafood festivals, research needs to be extended and replicated before any findings can be generalized. However, the model is flexible enough to be tested in different food events.

Food events represent a key instrument for the integration of territorial policies in which tourism and food products might be used as strategic instruments for the development of coastal areas.

This paper is a first attempt to analyse and compare seafood events, contributing to filling the gap in event literature referring to coastal areas. The model introduced can be used to determine the articulation of tradition-marketing in different food events.

Companies are discovering the power of crowdsourcing as a source of new ideas for products and services. It is assumed that the personal engagement and the continuous involvement with a company’s products or services over a period of several weeks positively affect participants’ loyalty intentions toward the host companies. The research leads the authors to challenge this assumption. In addition to mere participation in crowdsourcing initiatives, the authors argue that perceptions of fairness will explain changes in customer relationship-related consequences such as loyalty, perceived innovativeness and product interest. The paper aims to discuss these issues.

The authors analyzed a real-life crowdsourcing contest launched by a leading lighting manufacturer and investigated the impact of two fairness dimensions (distributive and procedural) on participants’ future behavioral and attitudinal intentions (n=121). The analysis was performed with SEM.

The results suggest that fairness perceptions are significantly related to evoked product interest, perceived innovativeness and loyalty intentions. The analysis reveals that the influence of the fairness dimensions is asymmetric: while distributive fairness can be considered as a basic factor that must be fulfilled in order to avoid negative behavioral consequences, procedural fairness instead is an excitement factor that causes truly positive behavioral consequences.

The results are particularly relevant for companies launching a crowdsourcing competition under their own brand name, and for broadcasting platforms. For companies with no relations to end-users, these findings may not be as relevant.

Organizers of crowdsourcing contests should be aware that such initiatives can be a double-edged sword. Fair Play is a must to gain the positive effects from crowdsourcing initiatives for both new product development and the customer relationship. For companies lacking the capabilities to manage crowdsourcing initiatives professionally it is advisable to rely on intermediary broadcasting platforms.

The research is the first to investigate systematically the consequences of fairness perceptions in a real-life crowdsourcing idea contest. The authors demonstrate the asymmetric nature of fairness perceptions on three different outcome variables that are important for the customer relationship.

The purpose of this paper is to identify and classify ecotourism service elements according to their instrumentality to customer satisfaction.

Drawing on the ECOSERV model, the authors conduct further qualitative and quantitative research to find additional dimensions of service quality. Kano’s model and Customer Satisfaction Index are then employed with a sample of 324 ecotourists to categorize these service quality elements.

A new scale of ecotourism service quality is proposed, with the addition of four dimensions: price-quality, interaction with locals, interaction with other customers and relaxation feelings. The paper also confirms the existence of four groups which are classified according to their level of impacts on satisfaction and dissatisfaction: attractive, one-dimensional, must-be and indifferent.

The paper improves the present ecotourism scale and develops an integrated approach to facilitate effective decision making by identifying areas that require greater attention, thus providing practical benefits for eco-site managers. It also hopes to contribute to better understanding about ecotourism services in the context of an Asia country like Vietnam and encourages further research in this area.

Despite South Africa’s ailing electrical grid, substantial renewable energy (RE) integration is planned for the country. As grid-integrated RE affects all grids differently, this study aims to develop an adaptable grid code-guided renewable power plant (RPP) control real-time simulation testbed, tailored to South African grid code requirements to study grid-integrated RE’s behaviour concerning South Africa’s unique conditions.

The testbed is designed using MATLAB’s Simulink and live script environments, to create an adaptable model where grid, RPP and RPP guiding grid codes are tailorable. This model is integrated with OPAL-RT’s RT-LAB and brought to real-time simulation using OPAL-RT’s OP4510 simulator. Voltage, frequency and short-circuit event case studies are performed through which the testbed’s abilities and performance are assessed.

Case study results show the following. The testbed accurately represents grid code voltage and frequency requirements. RPP point of connection (POC) conditions are consistently recognized and tracked, according to which the testbed then operates simulated RPPs, validating its design. Short-circuit event simulations show the simulated wind farm supports POC conditions relative to short-circuit intensity by curtailing active power in favour of reactive power, in line with local grid code requirements.

To the best of the authors’ knowledge, this is the first design of an adaptable grid code-guided RPP control testbed, tailored to South African grid code requirements in line with which RPP behavioural and grid integration studies can be performed.

The intended nationally determined contributions (INDCs) is a major outcome of the Paris Agreement on international cooperation to reduce emissions, and is likely to be the future scenario for carbon emissions. This paper aims to obtain the fine spatial pattern of carbon emissions in 2030, identify hot spots and analyze changes of carbon emissions with a spatial grid method.

Based on the integrated quantified INDCs of each economy in 2030, the authors predict the population density pattern in 2030 by using the statistics of current population density, natural growth rates and differences in population growth resulting from urbanization within countries. Then the authors regard population density as a comprehensive socioeconomic indicator for the top-bottom allocation of the INDC data to a 0.1° × 0.1° grid. Then, the grid spatial pattern of carbon emissions in 2030 is compared with that in 2016.

Under the unconditional and conditional scenarios, the global carbon emission grid values in 2030 will be within [0, 59,200.911] ktCO₂ and [0, 51,800.942] ktCO_2, respectively; eastern China, northern India, Western Europe and North America will continue to be the major emitters; grid carbon emissions will increase in most parts of the world compared to 2016, especially in densely populated areas.

While many studies have explored the overall global carbon emissions or warming under the INDC scenario, attention to spatial details is also required to help us make better emissions attributions and policy decisions from the perspective of the grid unit rather than the administrative unit.

Quantitative and spatial-explicit flood risk information is of great importance for strengthening climate change adaptation and flood resilience. Shanghai is a coastal megacity at large estuary delta with rising flood risks. This study aims to quantify the overall economic-societal risks of storm flooding and their spatial patterns in Shanghai.

Based on multiple storm flood scenarios at different return periods, as well as fine-scale data sets including gridded GDP, gridded population and vector land-use, a probabilistic risk model incorporating geographic information system is used to assess the economic-societal risks of flooding and their spatial distributions.

Our results show that, from 1/200 to 1/5,000-year floods, the exposed assets will increase from USD 85.4bn to USD 657.6bn, and the direct economic losses will increase from USD 3.06bn to USD 52bn. The expected annual damage (EAD) of assets is around USD 84.36m. Hotpots of EAD are mainly distributed in the city center, the depressions along the upper Huangpu River in the southwest, the north coast of Hangzhou Bay, and the confluence of the Huangpu River and Yangtze River in the northeast. From 1/200 to 1/5,000-year floods, the exposed population will rise from 280 thousand to 2,420 thousand, and the estimated casualties will rise from 299 to 1,045. The expected annual casualties (EAC) are around 2.28. Hotspots of casualties are generally consistent with those of EAD.

In contrast to previous studies that focus on a single flood scenario or a particular type of flood exposure/risk in Shanghai, the findings contribute to an understanding of overall flood risks and their spatial patterns, which have significant implications for cost-benefit analysis of flood resilience strategies.