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A methodology for segmenting the Australian wine market on a behavioural basis is proposed and illustrated. The initial segmentation is accomplished by using estimated conjoint part‐worths for the attributes of price, variety, area and vintage as criteria in a cluster analysis. A multinominal logit choice model is then estimated for each segment using data from a conjoint choice experiment in order to determine what critical variables drive the choice process in each segment. The results illustrate the usefulness of a behaviourally‐based segmentation scheme when coupled with conjoint choice analysis in determining critical choice drivers.

To elaborate a theory for modeling concepts that incorporates how a context influences the typicality of a single exemplar and the applicability of a single property of a concept. To investigate the structure of the sets of contexts and properties.

The effect of context on the typicality of an exemplar and the applicability of a property is accounted for by introducing the notion of “state of a concept”, and making use of the state‐context‐property formalism (SCOP), a generalization of the quantum formalism, whose basic notions are states, contexts and properties.

The paper proves that the set of context and the set of properties of a concept is a complete orthocomplemented lattice, i.e. a set with a partial order relation, such that for each subset there exists a greatest lower bound and a least upper bound, and such that for each element there exists an orthocomplement. This structure describes the “and”, “or”, and “not”, respectively for contexts and properties. It shows that the context lattice as well as the property lattice are non‐classical, i.e. quantum‐like, lattices.

Although the effect of context on concepts is widely acknowledged, formal mathematical structures of theories that incorporate this effect have not been successful. The study of this formal structure is a preparation for the elaboration of a theory of concepts that allows the description of the combination of concepts.

Research in business processes has been developed around a disciplinary approach toward the production of traditional knowledge, known as Mode 1. The problems studied with this approach are solved in a context in which academic knowledge prevails, with no major concerns regarding its practical applicability. Thus, the purpose of this paper is to propose a structure for knowledge production based on Mode 2 for business process researches.

A bibliometric research was conducted to define and conceptualize the classes of disciplinary problems, by assessing the years 2007-2012 of the Business Process Management Journal publications.

A framework for the Mode 2 knowledge production was proposed in the development of research in business process and conceptualized classes of problems related to this issue.

This work was carried out with specific focus on research in business process, so the defined classes of problems cannot be generalized.

The studies identified by this research are in the form of a disciplinary approach toward the production of traditional knowledge, known as Mode 1. This paper aims to fill the gap of a transdisciplinary production of knowledge and practical application, known as Mode 2 in the context of business process.

To develop a theory of concepts that solves the combination problem, i.e. to deliver a description of the combination of concepts. We also investigate the so‐called “pet fish problem” in concept research.

The set of contexts and properties of a concept are embedded in the complex Hilbert space of quantum mechanics. States are unit vectors or density operators and context and properties are orthogonal projections.

The way calculations are done in Hilbert space makes it possible to model how context influences the state of a concept. Moreover, a solution to the combination problem is proposed. Using the tensor product, a natural product in Hilbert space mathematics, a procedure for describing combined concepts is elaborated. This procedure also provides a solution to the pet‐fish problem, and it allows the modeling of an arbitrary number of combined concepts. By way of example, a model for a simple sentence containing a subject, a predicate and an object, is presented.

The combination problem is considered to be one of the crucial unsolved problems in concept research. Also the pet‐fish problem has not been solved by earlier attempts of modeling.

The purpose of this paper is to review the barriers that girls and women face in receiving an accurate and timely autism diagnosis. The journey to late-in-life diagnosis will be explored with a focus on mental health and well-being. The aim is to improve the awareness of the female autism phenotype to provide access to early identification and appropriate supports and services.

The author’s clinical experience as an individual, couple and family therapist specializing in girls and women with autism informs the paper. Research on co-occurring mental health experience and diagnoses are reviewed and combined with case examples to outline the themes leading to and obscuring autism diagnosis.

Females with autism are less likely to be diagnosed or are identified much later than their male counterparts. Living with unidentified autism places significant mental strain on adults, particularly females. Achieving a late-in-life diagnosis is very valuable for adults and can improve self-awareness and access to limited support.

Mental health professionals will develop a better understanding of the overlap between autism and psychiatric conditions and should consider autism in females who are seeking intervention.

This paper provides a clinical approach to working with autistic girls and women. This knowledge can complement the existing research literature and help build the foundation for a greater understanding of the female autism phenotype.

Researchers in supply chain transparency have called to expand the boundaries by disclosing various types of information to multiple stakeholders. The purpose of this paper is to explore the effect of transparency about supply chain sustainability on consumers as critical stakeholders and investigate the effectiveness of message characteristics.

This study utilizes two scenario-based experiments grounded in a refurbished goods context: Study 1, which employs a 2×2 between-subject experiment investigates the effects of product type and sustainable information provision on consumers evaluations, and Study 2, which employs a 2×1 between-subject experiment examines the effects of sustainable information direction on consumer evaluations. A total of 348 participants were recruited from the Amazon M-Turk platform across the two experiments. Data are analyzed with regression analysis using the PROCESS macro in SPSS and the Johnson–Neyman technique.

Contrary to prior research that assumes that refurbished products are associated with lower quality, quality perceptions are moderated by individuals’ environmental involvement (EI) and the information presented by the firm. More importantly, consumer evaluations are influenced by specific characteristics of sustainable supply chain messages: high EI individuals have higher willingness-to-pay a premium (WTPP) when the message is consistent with original beliefs (pro-attitudinal). In contrast to prior theory, there was no difference in the WTPP of consumers with high EI and low EI for counter-attitudinal messages.

The study shows that what to say, how to say it and to whom, are critical for firms who seek to nudge consumers to support their sustainable practices.

The value of communicating information on sustainability has been well established. However, little is known about such association when the information provided trades off environmental benefits and product quality. This research addresses the gap in a refurbished product context. The research studies the effect of sustainable supply chain transparency and message characteristics on stakeholders’ evaluations.

The purpose of this paper is to understand communication pathways and factors that cause sustainability initiatives to become contagious from downstream to upstream members of a supply chain, which is termed sustainable supply chain contagion (SSCC).

This study takes an inductive, grounded theory approach, while utilizing established theories.

The decision to implement a sustainability initiative depends on the business case for the organization. Importantly, the findings outline several network and communication factors that overcome the weak business case and, therefore, foster SSCC. Based on these findings, a communication network model of SSCC is outlined. Network factors include the contagion pathways, the role of sustainability and top management teams and communication channels. Communication factors include the alignment of sustainability initiatives with departmental objectives, the articulation of goals and assuring the endurance of a sustainability initiative.

Managers can utilize the proposed model to create conditions that strengthen the business case of a proposed sustainability initiative, thus fostering SSCC. The presented findings reveal different tactics that can assist organizations in communicating sustainability initiatives in a persuasive manner, to permit the proliferation of sustainability across the supply chain.

This research enables a multilevel examination of the factors influencing SSCC.