Search results

This paper reviews the current literature on theoretical and methodological issues in discrete choice experiments, which have been widely used in non-market value analysis, such as elicitation of residents' attitudes toward recreation or biodiversity conservation of forests.

We review the literature, and attribute the possible biases in choice experiments to theoretical and empirical aspects. Particularly, we introduce regret minimization as an alternative to random utility theory and sheds light on incentive compatibility, status quo, attributes non-attendance, cognitive load, experimental design, survey methods, estimation strategies and other issues.

The practitioners should pay attention to many issues when carrying out choice experiments in order to avoid possible biases. Many alternatives in theoretical foundations, experimental designs, estimation strategies and even explanations should be taken into account in practice in order to obtain robust results.

The paper summarizes the recent developments in methodological and empirical issues of choice experiments and points out the pitfalls and future directions both theoretically and empirically.

The purpose of this paper is to provide insights for flower retailers, horticultural practitioners and marketing managers into the prioritisation of cut flower attributes by German residents.

Applying a best–worst scaling approach, this analysis identified the relative ranking of importance amongst product attributes relevant to German consumers when buying fresh cut flowers. A latent class analysis determined four flower consumer segments for further study. The study builds on a sample of 978 consumers and is consistent with the most recent German census in terms of age, gender, income and federal state.

The best-worst analysis showed that intrinsic flower attributes, in particular appearance, freshness and scent were found to be more important to German consumers than the extrinsic attributes studied, namely, price, country of origin and a certification indicating fair trade. The latent class analysis determined four consumer segments that desire either budget, luxury or ethical flowers or more information about flowers. For all identified consumer segments, appearance was the attribute of greatest importance. The segments that desired luxury or ethical flowers, as well as the segment that desires more information were interested in appearance, but also had relatively large shares of preferences dedicated to flower freshness guarantees. The preference for freshness guarantees in addition to appearance may be interpreted jointly as a desire for not only beautiful and aesthetically pleasing flowers, but for sustained beauty.

Internationally, the study fills a research gap by exploring consumer’s relative preference for cut flower attributes. In contrast to existing studies on consumer preferences for flowers in Germany, the present study builds on a sample that was targeted in terms of age, gender, net household income and federal state to the most recent German census.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.

This purpose of this paper is to understand residents’ choice of preferred measures and their willingness-to-pay (WTP) for the measures to improve the air quality of Hanoi city.

Questionnaire surveys were conducted to collect the opinions of 212 household representatives living in Hanoi City. The survey tools were tested and adjusted through an online survey with 191 responses. Multivariate probit and linear regression models were used to identify determinants of respondents’ choices of measures and their WTP.

Respondents expressed their strong preferences for three measures for air quality improvements, including: (1) increase of green spaces; (2) use of less polluting fuels; (3) expansion of public transportation. The mean WTP for the implementation of those measures was estimated at about 148,000–282,000 Vietnamese dong, equivalent to 0.09–0.16% of household income. The respondents’ choices appear to be consistent with their characteristics and needs, such as financial affordability, time on roads and their perceived impacts of air pollution. The WTP estimates increase with perception of air pollution impacts, time on roads, education and income; but are lower for older people.

Increase of green spaces can be the measure to which policy makers should pay more attention. The match-up of residents needs and well-informed plans will be an important key to success.

This appears to be the first attempt to test the validity of public opinions on choices of measures for improving urban air quality in Vietnam. Our WTP estimates also contribute to the database on the values of improved air quality in the developing world.

This paper aims to analyze the risks faced by the Cambodian rice supply chain (RSC), including risk identification, risk investigation and risk management.

The first qualitative area of exploration from this exploratory sequential design is to identify the potential risks, in which the authors conduct in-depth interviews with ten different experts in Cambodia. Using the structural equation model (SEM) in AMOS and descriptive statistics analysis, this study investigates the risks that affect the RSC performance on an environmental, social and economic basis and subsequently proposes risk management strategies. The authors collect quantitative data from 200 Cambodian farmers through interviews and surveys.

The results illustrate that the farm households face 18 risk factors. The researchers consolidate 18 risk factors into four classifications: supply risks, production risks, demand risks and environmental risks. Nine experts out of the ten who were interviewed (90%) consider themselves “highly vulnerable” (with a rating of 4 or 5 on the Likert scale), while only one expert has a “neutral” stance (with a rating of 3 on the Likert scale); these results concerning risk identification are visualized in the likelihood effect matrix of the RSC. After investigating the risks, the authors found that RSC performance is significantly affected by the RSC risks. In particular, four groups are created, representing two different approaches to mitigate, avoid, transfer and cope with agricultural risks, i.e. ex ante and ex post risk management strategies.

This study fully answers research questions regarding risk identification, risk investigation and risk management.

This research study aimed to collect feedback from the learners on the usefulness and effectiveness of the online counselling sessions organised during COVID-19 lockdown through online platforms to provide academic support to the learners.

The link of a questionnaire designed in a Google Form sent to IGNOU learners of the January 2020 session enrolled under the jurisdiction of IGNOU Regional Centre (RC) Chandigarh through email as well as SMSs. Total responses received were 487, out of which 445 responses were complete, roughly 8% of the total registered learners during the January 2020 session. The questionnaire contained questions on a cross-section of online counselling issues, besides questions on the learners' profile.

Majority of the learners were satisfied with the input provided while organising online counselling sessions during COVID-19 lockdown in India. A significant proportion of learners (88%) used smartphones for attending counselling sessions. Facebook page of the RC rated as a relatively better option than other online platforms. However, more than 50% of learners faced Internet connection problems and found them a significant hurdle for smooth viewing of online counselling sessions. The proportion of learners who encountered difficulties in handling electronic devices was insignificant. The learner's feedback on many attributes such as usefulness and effectiveness of the online counselling sessions, interaction with the academic counsellors, e-content used in the counselling was significantly positive. A significant proportion of the learners have reported that face to face counselling could be replaced with online sessions in future, considering its flexibility in terms of place and schedule of learning and availability of recording of such sessions.

The research study was conducted under Chandigarh region of IGNOU which has a predominantly urban population. Thus the results of the study are limited to Chandigarh region and the region with similar socio-economic settings. This certainly limits the scope of the study.

The study certainly provides valuable feedback to the ODL policymakers to consider replacing face-to-face counselling with an online mode in a phased manner. Online counselling options will be highly cost-effective, easily manageable, and provide flexibility for learners and resource persons, resulting in addressing learners' non-attendance related issues in the face-to-face counselling sessions.

In the analysis of our finding it is clearly stated that the Internet connectivity and availability of electronic devices is an important issue to provide online counselling support to socially and economically disadvantaged groups. Therefore, the research study also identifies such social issues as a major challenge for providing online counselling support to the learners.

This is an original empirical research study and data collected is used in the analysis for the first time. This analysis is based on the feedback gathered from the learners registered at IGNOU RC Chandigarh during the January 2020 session. The data and derived results not used in any other study.

This paper aims to evaluate the impact of an eight-week gardening and woodwork group programme on individuals’ recovery goals in an adult community mental health setting.

Seven individuals participated in the research. The programme was designed and facilitated by two occupational therapists (the authors) and one horticulture and trade skills facilitator. The goal attainment scale was used as a quantitative outcome measure as it allowed individuals to collaboratively set occupation-focused recovery-oriented goals. Due to the small sample size, descriptive statistics were used to analyse this data. Qualitative feedback was gathered through participant feedback forms when the programme ended.

Quantitative findings indicate positive results for individuals’ progression towards their recovery goals, with six out of seven participants either achieving or exceeding their goals. One person who attended only one out of eight groups had “worse than expected” goal achievement.

While there is evidence for the use of gardening and woodwork group therapy in mental health settings, most studies have relied on symptom-focused questionnaires or qualitative results rather than quantifiable recovery-oriented measures (Cipriani et al., 2017; Kamioka et al., 2014; Parkinson et al., 2011). It is hoped that this paper begins to bridge that gap and also outlines how recovery principles, gardening and woodwork can be incorporated into occupational therapy group programmes. This is of particular merit during the COVID-19 pandemic, which has led to a greater need for group intervention in outdoor settings, where social distancing can be comfortably facilitated.

This study aims to provide a thick description of a four-day bridging course in introductory accounting presented before the start of a student’s first year. The course aims to address the lack of prior accounting knowledge. The study also evaluates the effectiveness of the course using econometric techniques. Treatment effects are considered when interpreting the results.

This voluntary intervention used a quasi-experimental research design and quantitative techniques, including the application of propensity score matching (PSM), to isolate the treatment effect on the treated and untreated groups.

A positive and significant association is reported between attending the bridging course and performance in the first assessment.

A bridging course in accounting offers higher educators an opportunity to ensure that students are academically better prepared when entering university. This course provides adequate prior knowledge from which a student will benefit during the first assessments, which may contribute to increased self-efficacy and retention. This intervention has social implications for students as they can interact, participate and easily transition from school to university. Social implications include learning communities that are formed at the onset of their studies.

Bridging courses have been presented in other disciplines with positive results but not yet in accounting. Bridging courses in accounting are viable interventions to address gaps in prior knowledge and assist with the transition from school to university. This study expands literature by demonstrating the application and interpretation of PSM in quasi-experimental designs.

The purpose of this paper is to review the causes of long waiting time in Hong Kong public hospitals and to suggest solutions in the service, organisational, systems, financial and policy perspectives.

The paper is a review of waiting time of public hospital services. Total joint replacement, which is one of the elective surgeries in public hospitals, is presented as a case study.

The average waiting time of semi-urgent and non-urgent patients in the accident and emergency departments of public hospitals is two hours, and that of specialist outpatient (SOP) clinics is from 1 to 144 weeks. For total joint replacement, it is from 36 to 110 months. Measures like Government subsidisation programme for the replacement surgery and employing adequate physiotherapists, Chinese medicine practitioners, clinical psychologists and nurses to reduce the waiting time are suggested. Issues concerning the healthcare system of Hong Kong, such as structural reform, service delivery model, primary care, quality and process management, and policy reviews, are also discussed.

The ‬over-reliance of public services has resulted in long waiting time in public hospitals in Hong Kong, particularly in the emergency services and SOP clinics. However, the consequences of long waiting period for surgical operations, though much less discussed by the media and public, can be potentially detrimental to the patients and families, and may result in more burdens to the already stretched public hospitals‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬.

The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s absence causes significant loss of logistics efficiency, especially for perishable food. The purpose of this paper is to propose an innovative approach to use customer-related data to optimize e-grocery home delivery. The approach estimates the absence probability of a customer by mining electricity consumption data, in order to improve the success rate of delivery and optimize transportation.

The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation.

Computational experiments reveal that the proposed approach could reduce the total travel distance by 3-20 percent, and theoretically increase the success rate of first-round delivery approximately by18-26 percent.

The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics.

This study gives an insight to e-grocery retailers and carriers on how to use customer-related data to improve home delivery effectiveness and efficiency.

The proposed approach can be used to reduce environmental footprint generated by freight distribution in a city, and to improve customers’ experience on online shopping.

Being an experimental study, this work demonstrates the effectiveness of data-driven innovative solutions to e-grocery home delivery problem. The paper also provides a methodological approach to this line of research.