Search results

Much of the research conducted in logistics/SCM has focused on satisfaction/retention of customers. This has left a critical gap for managers: before customers can be satisfied and ultimately retained, a purchase choice of logistics services has to occur. To date, very little research has addressed how logistics customers make purchase choice decisions about logistics services. The purpose of this paper, using logistics research methods, is to introduce adaptive choice modelling (ACM) to address this gap and put forth a research method that is useful for academic researchers and logistics/SCM managers.

This paper provides an overview of ACM, along with a discussion of its important research advantages, limitations, and practical applications. Additionally, an empirical demonstration of this research technique is provided to illustrate how academic researchers and logistics managers can use ACM to better understand the decision‐making process of customers when selecting logistics services.

In order to demonstrate this research technique, a research project was designed and implemented that analyzed the choice process of consumers selecting parcel carriers to ship a textbook. The results show that price, speed of delivery, and tracking are the three most important variables in the selection decision. The results also show that consumers are not homogeneous, but can be divided into five distinct need‐based segments. Recognizing and understanding the nature of these segments should help managers better meet the needs of parcel shippers.

The main research limitation with this study is that it is based on a convenience sample; thus future research will need to replicate this study to confirm the research findings. However, the ultimate purpose of the study is to present a new research method and discuss how to apply this method, so that logistics/SCM practitioners and academic researchers can better understand customers of logistics/SCM services. Thus, while the nature of the sample is a limitation, it should be viewed in this context.

While conjoint analysis has existed for decades, this technique has rarely been implemented by logistics/SCM researchers and practitioners. Instead, logistics/SCM researchers and practitioners have focused more on retention methods and have virtually ignored modelling the actual purchase choice of logistics/SCM services. New advancements in conjoint analysis, specifically the ACM approach, have many important and unique advantages and applications for logistics/SCM researchers and practitioners. ACM has not been used in a logistics/SCM context.

Behavioral scientists have long sought to capture how individuals’ understandings, perceptions and beliefs affect their decisions, often through examining the underlying cognitive processes that drive action (Schendel & Hofer, 1979). Economists, for example, are interested in how individuals’ utility functions influence their actions. Marketing researchers investigate how consumers’ preferences are reflected in their purchase behaviors. Organization researchers examine individual characteristics that influence outcomes such as job satisfaction, promotion, and turnover (Aiman-Smith et al., 2002).

The purpose of this article is to provide a description of the project ProSeBiCA, carried out in order to adapt the marketing research tool conjoint analysis for the development of future library services. The paper describes the methodical approach, and provides an overview of the results gained by several user surveys.

The methodical approach includes the use of adaptive conjoint analysis (ACA) and choice‐based conjoint analysis (CBC).

Conjoint analysis is an appropriate tool for the strategic development of library services. It provides detailed results by identifying users' preferences towards concrete services, and allows to deduce general statements about future trends for library services.

Future plans include cooperation with the Sheridan Libraries at Johns Hopkins University (Baltimore, Maryland), the Association of Research Libraries (ARL), and other interested partners in order to adapt the ProSeBiCA framework for US libraries and to integrate techniques used by the partners (CAPM, LibQUAL+^TM). The extension of conjoint analysis to the evaluation of services for a fee will be an additional area of research.

Service orientation in libraries can be based on a systematic approach. Depending on local circumstances, interested libraries can improve their service orientation in different ways, either by discussing the results of the analysis made in this project or by using the Conjoint Analysis questionnaire for a survey in their institutions.

The paper describes the current status and provides the latest results of ProSeBiCA. It is of interest to library managers and marketing researchers.

A method is proposed for handling multi-attribute judgment problems with a large number of attributes such as mobile phone features. To minimize the complication of multi-attributes and reduce the consumers’ choice task burden, this paper aims to suggest an integrated hierarchical survey design (IHSD) with the Kano model. The author compared the utility of mobile phone’s attributes for each market and for customer segment by analyzing empirical data on wear obtained from six Middle East and African countries, five Asia-Pacific countries and three European countries. Based on an IHSD of 10,200 respondents, brand, camera, memory and LTE (4G) play vital roles in all regions. In contrast, Wi-Fi, file-editor, MMS, LCD size and phone type are displayed as the least important attributes. The results of this study were successfully implemented for product planning, product development and marketing strategy in terms of price setting, features prioritizing and optimal designing for new products in the mobile phone company.

The first step was to list all possible features with the product planning team, product development team and market research specialists. The second step divided the selected features for designing a mobile phone into subgroups based on their functional characteristics by using the Kano model. The method for classifying features was determined using Kano questionnaire. The third step incorporated a fractional factorial design for the “must-be” choice-based conjoint (CBC) (Oppewal et al., 1994) which includes two factors: whether customers required the “one-dimensional” feature or the “attractive” feature, along with the “must-be” attributes. The consumers who selected the “must-be” features could choose both the “one-dimensional” feature and the “attractive” feature groups or one of the two feature groups in no particular order. Fractional factorial design was applied to both the “one-dimensional” features and the “attractive” features for individual CBCs. Random sequences of the combinations of attribute levels were generated for each of the three types of CBC analyses (“must-be”, “one-dimensional” and “attractive”). At the same time, the fourth step conducted a survey of the individual groups for the conjoint analysis on the functional characteristics of a mobile phone. The analysis of the accumulated data obtained from all the feature groups was completed using conditional logit models as part of the fifth step. In addition, the “must-be” CBC design was linked with the “one-dimensional” and “attractive” CBC designs. The sixth step was to analyze the accumulated results obtained from all the feature groups and estimate the usefulness of each feature’s level in the context of the CBC. Based on the results of the sixth step, the importance and willingness-to-pay of each attribute were estimated in the seventh step.

Use of the conjoint important score is aimed to expand the market by finding the different consumers’ needs across the regions. In detail, attributes such as “FM Transmitter”, “Touch screen” and “Health (heart rate)” are considered consumers’ new crucial needs in Europe, which would enable the product to superiorly differentiate itself from others to dominate the current market. On the other hand, it is shown that attributes such as “brand”, “mobile TV”, “external memory”, “mobile tracker” and “4G” are more important in Asia-Pacific. Therefore, if mobile manufacturers develop this sector more, it will grant mobile manufacturers the opportunity to lead the market. The only difference of the Middle East and African consumers is that “NFC” has a higher importance while the rest of the needs are very similar to those of Asia-Pacific. Regarding willingness-to-pay (WTP) among countries, the highest scoring utility, besides brand, appeared to be associated with the camera function in all countries. Especially, relatively low utility value was given in Wi-Fi and File-editer, MMS, LCD size and Phone type. In a value-based approach, the price of a product is based on the perceived valuation by the target customers. The research in the field of pricing is of ample importance. This is because price is the only element of the marketing mix that generates income. All other elements, such as advertising and promotion, product development, selling effort, distribution and packaging, involve expenditures (Monroe, 2003). Regarding among regions, the needs for 3G and the internet-related feature (WAP, Wi-Fi, etc.) in the emerging market are low compared to those for 4G and internet-related feature in the mature market. Also, the needs for productivity and advanced features, such as camera and e-mail, are lower in Asia-Pacific than in Europe. It is therefore recommended that manufactures and marketers of mobile phones should consider producing and selling phones with modern technology features that are more durable and of highly quality.

The integrated hierarchical survey by function with the Kano model proves to be a highly useful, efficient and accurate methodology for understanding a consumer mobile phone behavior. Although the proposed method was applied to designs of mobile phones in the emerging and mature markets, its accuracy was not compared with the traditionally used methods such as CBC, adaptive conjoint analysis and hybrid method. This is left for further areas of research.

The results of this research study correspond with previous studies conducted (Pakola et al., 2010; Das, 2012; Malaasi, 2012, 2008; Dziwornu, 2013), which consider the features of mobile phone as a crucial factor in consumer buying decision in all countries. It is significant that this study made huge impact on mobile phone manufacturers in several ways. It has been converted into product development with consumer-oriented approach. The pricing policy has been changed from cost-based pricing into value-based pricing; and marketing strategy has been changed from an unsystematic function into a systematic and consistent one.

The proposed method with the Kano model proved to be a practical and efficient tool for decision-making, as it helped mobile manufacturers to better understand how customers evaluate and perceive quality attributes. The Kano model was used to explain how the quality attributes can be classified into mainly three categories of perceived quality: “must-be”, “one-dimensional” and “attractive”. It has lots of benefits in terms of cost and time reduction and is expected to bring a great effect into the industrial field.

The purpose of this paper is to presents an interactive conjoint analysis Web-based system that allows the problems of traditional conjoint analysis to be avoided.In the case of a product with lot of parameters, respondents’ tacit preferences may be difficult to understand for marketing analysis. To get a precise analysis, respondents must be allowed to reconsider and correct by themselves their evaluations with an adapted tool.

This system also helps respondents to easily evaluate complex product profiles and to be involved in the evaluation process, which also leads to the creation of new knowledge for product design. As this system is designed for marketers and for respondents, this paper also presents the case of a product evaluation with attributes selectable by respondents.

This paper is based on empirical experiment to obtain an efficient design of our system. The authors propose different evaluation scenario to usersto decide the design of our system. The authors want to include users in our evaluation process; however, we found that too much liberty for users can interfere with our objective.

This paper present the design of our original system allowing to perform interactive conjoint analysis.

This paper aims to investigate the relative importance of audit-team and audit-firm attributes in perceptions of audit quality by two groups of users of audit services: audit committee chairs/members (“insiders”) and financial analysts/fund managers (“outsiders”).

Using a survey questionnaire, data are gathered from 39 audit committee chairs/members and 42 financial analysts/fund managers and analysed using adaptive conjoint analysis.

The findings reveal that both groups perceive audit-team attributes as relatively more important than audit-firm attributes. This is consistent with expectations for “insiders”, but inconsistent with expectations for “outsiders”. Differences are also found in the internal ratings of some of the attributes, with “insiders” and “outsiders” placing different relative importance on some attributes.

The usual set of limitations that are present in a survey method also apply in this study, i.e. surveys rely on reports of behaviours rather than observations and are therefore susceptible to measurement error. A further limitation is that, in using adaptive conjoint analysis, the number of attributes that may be included in the survey is restricted and, consequently, the attributes selected may not be comprehensive or fully representative.

The study extends the scope of prior studies by examining the relative importance of audit-team and audit-firm attributes in perceptions of audit quality. In using conjoint analysis, the study makes a unique and innovative contribution by providing direct evidence on the relative importance of attributes in perceptions of audit quality for different users of audit services. The findings have implications for regulators and the accounting profession concerned with improving confidence in corporates and for audit firms in monitoring and promoting the quality of their audit services.

The influence of security practices is increasingly common in the supply chain management and logistics literature. However, an under-researched area exists within the logistics service provider (LSP) selection process. The purpose of this paper is to introduce a security capability into the LSP selection process. Specifically, this research seeks to understand partner willingness to compensate and collaborate with service providers that possess a security capability.

Adaptive choice modeling is adopted to assess the influence of a security capability in the LSP selection process. This study represents the first use of this method in supply chain management and logistics research. Cluster analysis is also performed to uncover specific buyer segments along with traditional regression-based significance testing and counting analysis.

The findings indicate that security can have an important influence on the LSP selection process. In particular, the findings note a willingness to pay for a security capability in LSP selection. Applying segmentation techniques to the findings, three LSP buying segments are determined, each placing different importance and value on LSP capabilities.

This research notes an ongoing provider deficiency in security offerings. Partner firms sometimes maintain a cost focus, but others show a willingness to pay higher prices for access to partners with a security capability. Key practitioner findings include the need to include security with other traditional selection variables. The study walks the researcher and manager through the development of segments based on LSP capabilities.

This manuscript investigates logistic service provider selection. The authors detail an advanced form of conjoint analysis, adaptive conjoint modeling, for first time consideration. Additionally, this is the first study to integrate security into the LSP selection process. This is also the first study to identify a willingness to pay for a security capability.

To help further our understanding of how keymethodological issues in conjoint analysis influence outcomes, a choice‐based conjoint study measuring consumer preferences for pre‐packed apple selection packs was conducted. The role of stimuli presentation format was considered by comparing the performance of physical prototype stimuli and realistic pictorial representations. This indicated no substantial differences in the choice decisions made using the two presentation formats and suggested that photographic images may be used instead of prototype stimuli. A second issue pertained to the need for training and warm‐up exercises prior to the actual conjoint choice task. While this indicated some differences in choice strategies, a significant improvement in internal validity of choice decisions made with and without training was not achieved. One possible explanation for this finding may be that respondents made choices between apple products, a product category for which decision strategies are likely to be stable and well‐developed.

Tertiary education has become more competitive in recent years due to reductions in government funding and higher student fees. As the nature of the environment grows more competitive, the role of marketing, previously non‐existent in most universities, has grown significantly. One of the key pieces of information that would assist a university’s marketing effort is an understanding of what determines a student’s university preference. Examines university preference using a form of conjoint analysis, known as adaptive conjoint analysis (ACA), to investigate the importance of a number of attributes to high‐school leavers in Australia. Results indicate that the four most important determinants of university preference were course suitability, academic reputation, job prospects, and teaching quality, which has significance for education managers developing marketing strategies and programs.