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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 paper aims to investigate the practices facilitating the transformation of healthcare services, understanding the resulting outcomes in terms of well-being and uplifting changes. a systematic literature review (SLR) focusing on analyzing the healthcare sector under the transformative service research (TSR) theoretical domain is conducted to achieve this goal.

Employing a structured SLR developed based on the PRISMA protocol (Pickering and Byrne, 2014; Pickering et al., 2015) and using Scopus and WoS databases, the study identifies and analyzes 49 papers published between 2021 and 2022. Content analysis is used to classify and analyze the papers.

The SLR reveals four transformative practices (how) within the healthcare sector under the TSR domain, each linked to specific well-being outcomes (what). The analysis shows that both practices and outcomes are mainly patient-related. An integrative framework for transformative healthcare service is presented and critically examined to identify research gaps and define the trajectory for the future development of TSR in healthcare. In addition, managerial implications are provided to guide practitioners.

This research is among the first to analyze TSR literature in the context of healthcare. The study critically examines the TSR’s impact on the sector’s transformation, providing insights for future research and offering a roadmap for healthcare practitioners to facilitate uplifting changes.

The purpose of this study is to examine whether companies with high audit quality (AQ) are expected to use trade credit (TC) as a financing source. Traditionally, vendors are most likely to extend TC to creditworthy customers.

The author uses the data from 134,099 firm-year observations of nine Asian emerging markets from 2001 to 2017. Further, to check the impact of AQ on trade credit, the authors employ ordinary least square (OLS) with fixed effects, cluster effect regression and random effect.

The findings indicate that vendors extend more TC to the companies audited by the BIG4 auditors as, these independent practitioners have greater competencies, expert intellectual capital, global networking connections, and high investment in information technology. The authors, therefore, conjecture that the company's use of TC increases with their improved AQ, especially audited by BIG4. The results are found consistent with this prediction and robust to the alternative measures of trade credit. Similarly, this positive association is more pronounced with the BIG4 partner's unqualified audit opinion.

This study uses the sample of Asian Emerging countries but the researchers cannot generalize the results to developed countries or other regions.

This paper's findings have significant implications for the management, board of directors, shareholders and suppliers. Further, results are in favor of appointing BIG4 auditors to gain the trust of suppliers.

Despite the wide-ranging literature that discusses the importance of quality audits in enhancing the firms' financial disclosures that leads to better access to finance through investors and lenders. But the TC as a financing source is ignored in relation to AQ. The study’s results extend the literature associating companies' AQ with financial decisions.

The purpose of this paper is to review the current state of proceedings in the research area of automatic swarm design and discusses possible solutions to advance swarm robotics research.

First, this paper begins by reviewing the current state of proceedings in the field of automatic swarm design to provide a basic understanding of the field. This should lead to the identification of which issues need to be resolved in order to move forward swarm robotics research. Then, some possible solutions to the challenges are discussed to identify future directions and how the proposed idea of incorporating learning mechanism could benefit swarm robotics design. Lastly, a novel evolutionary-learning framework for swarms based on epigenetic function is proposed with a discussion of its merits and suggestions for future research directions.

The discussion shows that main challenge which is needed to be resolved is the presence of dynamic environment which is mainly caused by agent-to-agent and agent-to-environment interactions. A possible solution to tackle the challenge is by incorporating learning capability to the swarm to tackle dynamic environment.

This paper gives a new perspective on how to improve automatic swarm design in order to move forward swarm robotics research. Along with the discussion, this paper also proposes a novel framework to incorporate learning mechanism into evolutionary swarm using epigenetic function.