Search results

There has been increasing consumer interest in recent times in the environmental providence of what they eat and drink. A number of different environmental wine certifications have been created and these include biodynamic, fairtrade, organic, natural and sustainable. The purpose of this study is to survey wine consumers in Australia about their interest in these eco-certifications and their willingness to pay (WTP) a price premium for wine with one of these eco-certifications.

An online survey was developed to capture the knowledge and attitudes of consumers and their socio-demographic characteristics about their WTP for eco-certified wine. Data from 454 wine consumers in Australia were collected and analysed. Descriptive statistics and Pearson’s chi-squared test analysed the significant factors which determine consumers’ attitudes towards eco-certified wines. Ordinal logistic regression with marginal effects was used to examine whether the WTP a premium for different certified wines differs significantly based on wine knowledge, attitudes and socio-demographic characteristics.

The findings of this study indicate that consumers often buy pro-environmental goods. The majority have a positive (greater than 0) WTP a premium for biodynamic, fairtrade, organic, natural and sustainable-labelled wines. The main factors influencing eco-certified wine purchase decisions by Australian consumers are previously bought eco-certified goods, previously bought eco-certified wine and respondent age. Income, education or previous wine knowledge did not positively influence WTP a price premium for eco-certified wines. Gender was not significant in the ordinal logistic regression.

Most studies in the literature use stated preference experiments to elicit WTP and these are valuable exercises, as they can provide an indication of consumer preferences for potential certifications, before they have been introduced to the market. In this study, we used an ordinal dependent variable in the logistic regression instead of a continuous variable (because of data limitations). Using ordinal dependent variables provides information on the probability or likelihood of occurring an event.

The study results provide the first price premium indications that Australian consumers are willing to pay for eco-certified wines (other than organic).

The purpose of this paper is to identify whether work-family spillovers significantly affect company managers’ determination of career goals by examining the importance of gender and formal mentoring to these managers.

The study sample consisted of 4,222 Korean managers compiled from a large-scale data set (Korean Women Manager Panel) that was collected by the Korea Women Development Institution in two waves (2009 and 2011).

Positive work-family spillover is positively related to managers’ career goals, whereas negative work-family spillover is negatively related to such goals. In the presence of positive work-family spillover, formal mentoring is more effective in helping male managers establish and develop career goals.

The mentoring programs company managers are willing to engage in should be consistent with the gender role. Mentoring programs for female managers are moderately related to the importance of positive work experiences in establishing and developing their career goals. Therefore, to promote the career success of female managers, companies and societies must take actions to change the female managers’ perceptions of their management potentials.

Gender and formal mentoring programs influence the salience of company managers’ work and family roles, which determines the relationship between positive and negative work-family spillovers and career goals.

This paper aims at defining a structured process of continuous innovation in the product concept development phase by a statistical‐based Kansei engineering (KE) approach. It consists in the identification of quality elements satisfying both functional and emotional user needs, i.e. the total quality elements.

The approach is developed integrating results from Kano and KE analysis. Three statistical methods considered to be suitable for KE study, are used: supersaturated design for concept configuration, ordinal logistic regression for data analysis, and EVA method for quality evaluation of the optimal concept. These methods are compared with the most used ones in KE regarding their efficacy, efficiency and easiness of use. An innovative procedure to exhibit concepts in a KE session is also presented. It uses the abstraction and association idea principles to elicit users' grade of agreement for a particular Kansei word.

The proposed approach is fully exploited through a case study on train interior design, developed in a virtual reality (VR) laboratory. The evaluation of comfort improvements obtained by means of a new handle and handrail design is carried on with expert users in VR. A consistent increase of a quality index, by using the defined approach, was obtained.

This work aims at contributing to the conception of new product solutions, which are appealing and saleable. The availability of virtual reality technologies and software capable to manage complex statistical analyses, will concretely aid designers and engineers in the ideation of high‐emotional‐quality products, which can be helpful for innovative enterprises to maintain and even increase their market position.

The purpose of this study is to investigate the influence of the technical and functional dimensions of service management on customer satisfaction in the bank‐SME relationship.

An ordinal logistic regression analysis is used to examine a total of 221 responses to a questionnaire distributed to small and medium‐sized enterprises (SMEs) in Sweden.

Both the technical and the functional dimensions of service management were shown to correlate with customer satisfaction. Thus, SMEs seem to evaluate their banking relationship not only on the basis of the effectiveness and quality of banks' service outcomes but also on the care and manner in which the bankers deliver services.

The study shows that relationship variables, such as personal interaction is a strong determinant for customer satisfaction in the bank‐SME relationship. Hence, there is a need for banks to focus training on understanding the issues of SMEs on a broader scale rather than solely on the sale of individual products.

The study examines both the technical and functional dimensions of service management in the bank‐SME relationship. Because most researchers treat ordinal scales as continuous variables, stronger conclusions can thus be drawn from the ordinal regression analysis performed here.

This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.

The purpose of this paper is to compare the job satisfaction of police officers in metropolitan cities with that of officers in smaller areas in a rapidly developing nation. It also assesses the difference in the factors that affect the job satisfaction of officers in metropolitan cities and smaller areas.

The research used survey data collected from 1,500 police officers throughout South Korea. Ordinal logistic (ordered logit) regression was the main method of analysis considering the ordinal response in the dependent variable.

The findings revealed no difference in job satisfaction between officers in metropolitan cities and those in smaller cities and rural areas, but certain factors, especially length of service and rank, negatively affected officers' job satisfaction in metropolitan cities; this was not the case in smaller cities and rural areas.

Although findings from police survey data of a non‐random sample of officers should be generalized with caution, the findings provide police administrators with some evidence that certain factors are necessary to minimize the likelihood of job dissatisfaction among senior and supervisory officers in metropolitan cities.

Few researchers have compared the level of and predictors of officers' job satisfaction in large and small cities, especially in non‐Western contexts. The study intends to fill this void.

Given their interrelationship, international market selection (IMS) and entry mode selection (EMS) must be considered jointly if an optimal entry strategy is to be realized. However, researchers in the field of international construction have the tendency to consider IMS and EMS independently or sequentially. Therefore, this paper aims to explore a holistic framework that can accommodate IMS and EMS concurrently and test it using empirical data.

his study includes theoretical and empirical research. In theoretical part, an integrated decision model of IMS and EMS is proposed adopting literature review and theoretical derivation, then hypotheses are developed for the impact of decision-making factors. In the latter part, the IMS and EMS of 54 Chinese contractors in 67 countries were investigated, empirical data are collected according to hypotheses, an ordinal logistic regression model is established for statistics analysis. Finally, findings are drawn by comparing literature-based hypotheses with data-based analysis results.

Results show that empirical data fit theoretical model well. Findings are: IMS and EMS can be integrated into a holistic decision-making framework when be properly sequenced. When IMS and EMS are determined simultaneously, the decision can benefit from a sharing of common information. And the roles of at least 13 common factors are empirically demonstrated in this study.

The integrated decision sequence proposed in this study is applicable for a specific market, and cannot compare multiple alternative markets directly. The decision-making factors identified in this paper do not cover the enterprise strategic objectives and some other factors. Empirical data and some theoretical assumptions are based on the international market entry strategy of Chinese contractors. Therefore, the conclusions may not be completely applicable to global contractors though have certain reference value.

Based on the idea of holistic decision-making of IMS and EMS, this study proposes an international market entry strategy (IMES) sequence and an explicit model for determinants, then tests them with empirical data. This paper provides a new idea to manage IMS and EMS concurrently, which can improve the efficiency of IMES decision-making and avoid missing optimal alternatives. This study paves the way for a practical model and provides reference for contractors' international market entry strategy.

The purpose of the study presented in this paper is to determine the relationship and effect of built environment on occupants’ productivity in green-certified office buildings in Sri Lanka.

Two research hypotheses were tested by approaching the survey method under the quantitative phenomenon. The questionnaire survey was conducted among randomly selected occupants in three selected green-rated office buildings in Sri Lanka. The survey data were analysed by using the Spearman correlation and ordinal logistic regression analysis techniques to model the relationship existing between the variables. The SPSS v20 software was used in data analysis.

The findings confirm the relationship between built environment and occupants’ productivity. As it further proves that, there is a significant effect of built environment on occupants’ productivity in green-certified office buildings. Thus, critical built environment factors influencing occupants’ productivity and their effect were determined.

The findings could be practically implied as bases to strengthen the evaluation criteria of indoor environmental quality in GREENSL^® national green-rating system.

The evaluation of occupants’ productivity and the built environment factors has been at the focal point of research; however, most studies have focused on single aspects of the built environment. Further, no evidences were found on “which factors” can critically influence the occupants’ productivity in green buildings. The paper, therefore, seeks to fill this gap by proving the relationship between green built environment and occupants’ productivity.

Online fresh food shopping has become increasingly popular in recent years, especially during the COVID-19 crisis. Online fresh food shopping provides consumers with an alternative to shopping in a traditional market, while also enabling procurement of such goods at a reduced risk of infection. The purpose of this study is to investigate whether online fresh food shopping behaviors change during public health emergency periods.

The data were collected through a web-based survey (508 respondents in China). Descriptive analysis, ordinal logistic regression analysis, and the Apriori algorithm were employed to explore what characteristics influence purchase frequency as well as food and delivery time preferences among different customer groups.

Based on the survey data, this study found that purchase frequency grew 71.2% during the COVID-19 crisis. City type and online shopping frequency of respondents are positively correlated with purchase frequency in normal and COVID-19 crisis periods. Number of daily hours worked by respondents only showed a significant impact for the normal period. People perceiving the risk of infection from going out are more willing to purchase fresh food online.

This is the first study to explore and compare online fresh food shopping behaviors during normal and COVID-19 crisis periods with a sample from China. The findings indicate a key role that online fresh food shopping can perform during a crisis and contribute to our understanding of fresh food online shopping behaviors during other possible public health emergency scenarios.

To better understand the use intensity of e-government service offerings among citizens, a considerable number of studies have examined correlations between various attitudinal constructs related to such offerings and citizens’ service adoption (intentions). This investigational paper aims to take a different angle by exploring associations between a set of 11 objectively identifiable household and individual behavioral and socio-demographic characteristics on the one side and three levels of e-government services use on the other.

The empirical analysis is based on survey responses of a random sample of 17,012 individuals residing in Germany.

Ordinal logistic regression analysis suggests that citizens with low use levels of public e-service offerings are most likely younger male persons with low levels of computer literacy, internet affinity and education, who have a migration background and live in small mid-level-income households located in rural communities.

The findings imply that public institutions may find it difficult to rapidly raise e-government acceptance by distributing only “technocratic” information explaining various service options. Public authorities should consider supplementing “pure” information programs by measures which ensure that the software of e-government service platforms is designed in a way guaranteeing a very high level of “usability”. Furthermore, they should analyze whether the benefits of providing e-government services in specific foreign languages outweigh the costs of such a service extension. If this is the case, an easy-to-use software menu item should be introduced which enables citizens to switch to another common foreign language.

The contribution of this paper results from the analysis of a set of objective predictors of e-government service use in a large random sample of citizens residing in Germany, whereas most prior studies are based on surveys of small convenience samples in other countries.