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It has long been recognised that humans draw from a large pool of processing aids to help manage the everyday challenges of life. It is not uncommon to observe individuals adopting simplifying strategies when faced with ever increasing amounts of information to process, and especially for decisions where the chosen outcome will have a very marginal impact on their well-being. The transactions costs associated with processing all new information often exceed the benefits from such a comprehensive review. The accumulating life experiences of individuals are also often brought to bear as reference points to assist in selectively evaluating information placed in front of them. These features of human processing and cognition are not new to the broad literature on judgment and decision-making, where heuristics are offered up as deliberative analytic procedures intentionally designed to simplify choice. What is surprising is the limited recognition of heuristics that individuals use to process the attributes in stated choice experiments. In this paper we present a case for a utility-based framework within which some appealing processing strategies are embedded (without the aid of supplementary self-stated intentions), as well as models conditioned on self-stated intentions represented as single items of process advice, and illustrate the implications on willingness to pay for travel time savings of embedding each heuristic in the choice process. Given the controversy surrounding the reliability of self-stated intentions, we introduce a framework in which mixtures of process advice embedded within a belief function might be used in future empirical studies to condition choice, as a way of increasingly judging the strength of the evidence.

As UN’s sustainable development goals (SDGs) are integrated across Asia-Pacific Higher Education Institutes (HEIs), the purpose of this descriptive and exploratory study is to investigate undergraduates’ own self-stated commitment to the SDGs and their perceived feasibility by the 2030 target.

A mixed-methodology approach covered quantitative and qualitative approaches facilitated by purposive selection of an Asia-Pacific HEI via a Japanese liberal arts college where a questionnaire survey was administered in Autumn 2021. Responses were monitored from freshmen students in twin courses within the same major (introduction to “Environment” and “Development” studies, respectively; n = 177) that both integrated SDGs within their respective curricula.

Students in both classes rated the SDGs as a useful learning tool but were sceptical of their feasibility by 2030. A self-stated commitment was high, especially among environment studies students. Multiple regression was run to predict SDGs commitment from gender, major, perceived SDGs’ usefulness and feasibility. These variables partially predicted SDGs commitment but only gender and major variables added statistical significance. Moreover, the same variables were less equivocal in terms of predicting the self-stated belief that the SDGs could be achieved by 2030.

The findings can inform instructors of students’ perceptions towards SDGs. Significant differences raise academic and applied discussion points, such as how to engage male students, for example, by setting up sustainability “business case” practicums.

As global HEIs grapple with effective ways to vertically integrate SDGs into a university’s curriculum, students’ opinions are often underrepresented. This paper’s originality and value address these gaps by exploring a holistic student-centric perspective on SDGs in the context of commitment. This paper also has implications for more effective cross-curricula integration of the SDGs.

At the dawning of the twenty-first century, The Courage to Teach was a tipping point that shifted our conceptualization of faculty development to consider the heart of the teacher, ‘the place where intellect and emotion and spirit and will converge in the human self’ (Palmer, 1998, p. 11). So inspired, a study was designed to inquire into the lived reality of teachers to better understand how teachers experience and make meaning of the phenomenon of teaching (Natoli, 2000, 2006). The objective of the Self as Teacher Study was to interview and observe those who teach to capture how they come to know their subjects and their students with attention to the selfhood of the teacher. Analysis of narratives collected through autobiographical interviews with K-12 instructors and university professors from Boston to Barcelona to Brazil evidenced astounding epistemological patterns – distinctions between teacher ways of knowing and being – which provided insights into the construction of teacher identity and integrity (integritas or wholeness). Ultimately, human virtues are represented in the embodied mind as higher-order cognitions and emotions and manifested as actions through qualitatively different self-states, our better angels. Consequently, faculty development is about human development, expanding consciousness, enhancing capacities for relationship, shifting awareness to integrate new perceptions, and incorporating previously isolated mentalizations. The Model for In-depth Faculty Development is introduced as a grounded theory framework highlighting teacher characteristics and potentials for personal and professional growth through a shared community culture while the POISE® Curriculum offers a system for implementation.

There is growing evidence that service quality attributes fall into three categories of factors that have a different impact on the formation of customer satisfaction. However, it is not clear which analytical procedure best identifies these factors. Vavra proposed a two‐dimensional importance grid based on customers’ self‐stated importance and derived importance using regression analysis. It is based on the assumption that there is a difference between self‐stated and derived importance and that by combining these importance weights, three groups of product or service attributes can be identified. Using data collected to measure customer satisfaction with the service of the IT department of a hospital, the authors test the underlying assumptions of the importance grid. They seem to be correct. When the results are compared with the penalty‐reward contrast analysis developed by Brandt, the two methods do not yield the same results. Therefore, the convergent validity of the importance grid has to be questioned. The paper closes with a discussion of the implications for research and practice.

This paper aims to explore the potential utility of Identity Structure Analysis (ISA) in single-case and group-level outcome and process evaluations.

A study was conducted to evaluate mentalization-based therapy by using ISA and its linked framework software, Ipseus. Ten patients with borderline personality disorder and substance use disorder were involved in the study. ISA/Ipseus was administered prior to and at the completion of the treatment. Five-year follow-up data, comprising behavioural indicators, were also collected and compared to ISA/Ipseus results.

Improvements occurred in the evaluation of stressful, demanding and emotionally burdening situations. Evaluations on concerned others also improved, together with progress in self-reflection. Changes in the evaluation of recovery-related themes were less salient. On a case level, changes in the self-states and role models were consistent with the results of the five-year-follow up data. An initial crisis state seems suggestive of progress, while initial defensive positions with high positive self-regard, of stagnation.

ISA/Ipseus, integrating the benefits of qualitative and quantitative approaches in evaluation, is a potential method to explore the complexity of identity changes during therapy.

The purpose of this paper is to propose a novel approach of fuzzy importance‐performance analysis (FIPA) to replace conventional importance‐performance analysis (IPA) for determining critical service attributes those really need to improve for achieving superior customer satisfaction.

First, referring numerous studies, conventional IPA has some erroneous assumptions, the customer satisfaction of attribute performance has the characteristic of three‐factor theory and the novel approach which integrates natural logarithmic transformation and partial correlation analysis is feasible for acquiring the implicitly derived importance of attributes. Second, according the fact and nature of fuzziness in human perception, this study applies fuzzy set theory to revise conventional IPA. Finally, the FIPA is proposed and subsequently implemented in a Taiwanese hot spring hotel case study.

The implementation of FIPA shows the determined critical service attributes are almost completely different from those attributes acquired by conventional IPA. Hence, the application of conventional IPA may cause practitioners make incorrect decisions of improvement priorities for service attributes and direct unsuitable quality‐based marketing strategies.

The proposed FIPA which integrates fuzzy set theory, three‐factor theory, partial correlation analysis and natural logarithmic transformation avoids the erroneous assumptions of conventional IPA, considers the nature of fuzziness in human perception and includes the actual importance of service attributes. Therefore, the proposed FIPA can effectively assist business managers in determining critical service attributes to improve service quality or customer satisfaction and to achieve competitive advantage.

In order to classify individuals based on their needs, this paper aims to consider both self‐stated attitudes and behaviours in a comprehensive range of daily financial affairs. Furthermore, it aims to study the impacts of socio‐demographic variables such as gender, age, and education.

A questionnaire was answered by 1,282 respondents in the German‐speaking part of Switzerland. Factor analysis revealed five components. Based on these components a two‐step cluster analysis (Ward and K‐means analyses) identified distinct subgroups. Linear regressions were used to investigate the impacts of socio‐demographic variables.

Factor analysis revealed five underlying dimensions of financial attitudes and behaviour: anxiety, interests in financial issues, decision styles, need for precautionary savings, and spending tendency. Cluster analysis segmented the respondents into five subgroups based on these dimensions with an ascending order of specific needs for financial products. Gender, age, and education were found to have significant impacts.

Real consumption behaviour cannot be observed through the survey, which limits the external validity of the study.

The segmentation identifies different levels of financial competence and needs for financial products. It allows financial service providers to offer more effective advice and to meet customers on their own level to improve personal financial management.

Attitudes and behaviours in daily financial affairs are examined to reveal individuals' financial competence and consequential product needs. A heterogeneous sample covers a variety of demographic groups.

This empirical study tests hypothesized relationships between team effectiveness and a measure of shared cognition that quantifies the degree of similarity between knowledge of the actual group and beliefs about preferred group states.

The proposed model of shared cognition is based upon the triadic structure of actual‐ideal‐ought cognitive representations employed within self‐discrepancy theory. Self discrepancy theory proposes that the degree of discrepancy (similarity) between cognitive representations of the actual self and representations of both the ideal and ought self represents particular emotional situations. This study elevates the concept of a self‐state representation to the group level by asking group members to list attributes associated with the actual, ideal and ought group‐states (group‐state representations). Shared cognition for 56 project teams is measured by comparing the actual group‐state representations of each member with both the ideal and ought group‐state representations of the other members. This extends the measurement of shared cognition beyond the aggregation of individual measures and creates the potential for capturing group level cognition structures that have the potential to evoke affect, influence motivation and impact outcomes.

Hypotheses proposing a relationship between team effectiveness and both shared actual‐ideal and shared actual‐ought group‐state representations, mediated by cohesion and confidence in the team's ability, respectively, are mostly supported.

By examining the degree of similarity between perceptions of what currently exists (knowledge) and what is preferred (belief) this research examines evaluative cognitive structures that have the potential to evoke affect, influence motivation and impact on outcomes.

The purpose of this paper is to illuminate concerned companies to develop a better understanding of customer needs through reference of Kano model.

This paper facilitates decision-making process for the productive use of strategy management through a case study approach for corrugated industries in India. A hybrid approach is employed by calculating coefficients of satisfaction with S-CR (customer requirements and customer satisfaction (CS)) relationship functions and self-stated importance evaluation.

Kano’s model provides an effective approach for both industries and academic research in classifying different customer requirements into different categories based on their impact on CS. It empowers to obtain competitive and factual information about customer needs.

This study is limited in terms of sample size, domain of the study and the coverage of participants.

This paper suggests a valuable Kano approach for concerned organizations and practitioners, to correctly identify customer requirements and channelize their resources in right direction. Fulfilling customer requirements by providing them satisfaction and delight timely is only golden rule for sustaining in this competitive world.

The purpose of this paper is to apply the proposed methodology to develop the product as per customer’s requirements (CRs) and increase customer satisfaction (CS).

The companies are using different methods to identify CRs and translate these requirements into new products. The Kano model is used to identify CRs. The result of the Kano model is used in quality function deployment (QFD) to decide the priority for improvements of CRs and the technical requirements.

The integration of the Kano model and QFD is applied on the mobile phone. The Kano model helps to find out the CRs which affect the CS, such as attractive (A) attribute, one (O)-dimensional attribute and must be (M) attribute. The QFD method helps to translate the CRs into technical requirements so that the designer can decide priority of requirements for improvement or new product development.

The proposed methodology can be applied to different consumers as well as industrial products.

The Kano model has been used in manufacturing as well as service sector. This work explores its usefulness and applicability for consumer and industrial products.