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Using the REPLACE conceptual model and the psycho-emotional model of disability, this study aims to analyze the experience of families with children with disabilities (FCwDs) in a specialized vacation center to understand the nature of the resources that give them a sense of well-being and a strong place attachment.

The study uses an exploratory approach. The data consist of ethnographic observations, interviews with family members and center staff and activity leaders’ answers to a questionnaire.

The specialized vacation center studied in this paper offers FCwDs therapeutic resources but also social safeness resources, providing them with a welcome time of respite.

Without questioning the need to provide inclusive services and market accessibility for consumers with disabilities, this paper recommends solutions that the author calls “safe places,” where FCwDs feel neither stigmatized nor judged, have access to social safeness, relational and restorative resources and experience well-being with their loved ones.

Case information was mainly acquired through interviews with Richard Gammans, chief operating officer. Dr Gammans was a visiting professor at Fayetteville State University for a year, and two of the case authors developed personal friendships with Richard. Interviews were conducted over a two-year period as the accelerator got started. In addition, one author conducted a team-building session with the management team and one of the bio-startup researchers. An interview was also conducted with Clayton Duncan, chief executive officer, to gain his agreement with developing the case.

The Accele website included a write-up on each of the pharmaceutical startup companies. The write-up included a company summary, description of the science (disease and cure), the size of the market, results from testing, regulatory considerations and intellectual property. A literature review was conducted as the basis for the information on the pharmaceutical industry.

This case is about a biopharmaceutical accelerator founded in 2011 by two senior executives with experience in both large pharmaceutical companies and running biotech startup companies. The founders were successful in raising capital to start their first venture capital fund which they used to invest in four biotech startups. All four startups were working in very different disease areas. For example, one developed a drug to help with hearing loss that the department of defense was funding. Another of the startups discovered drug candidates that attack antibiotic-resistant bacteria. Biopharmaceutical accelerators were relatively new. They differed from business incubators because they invest in the startups and provide operational support, but the degree of support provided varies across accelerators. The Accele BioPharma accelerator operated in virtual, network type of organization, and Accele BioPharma provided primary strategic and operational management for the startups. The challenge in this case is to identify how the leaders managed the virtual network, and what additional resources were needed so that the management team could expand their ability to assist startups to get drugs approved by the food and drug administration.

This case is suitable recommended for undergraduate/graduate strategy, undergraduate/graduate organizational behavior, entrepreneurship and health-care management courses.

The objective of this article is to evaluate and compare the performance of two machine learning (ML) algorithms, i.e. support vector machines (SVMs) and random forests (RFs), when classifying seven states of operation of an electric motor using the Mel-frequency cepstral coefficients (MFCCs) as extracted representative features.

The extracted MFCCs are calculated using the motor’s vibration and audio signals separately.

After the training, the SVM model obtained a mean accuracy of 100% for the MFCCs obtained from database vibration signals and 69.6% for the database of audio signals.

The ML strategies and results reported are limited to the well-known data for industrial electric motors used in the evaluations, although it was performed tests and cross-validations with unseen data and the information from the confusion matrix.

The success of these methodologies in defect classification, where the RF presented a mean accuracy of 99.15% for the vibration signals and 63.82% for the audio signal, enables the use of this ML and extracted features as a predictive tool for failure and anomaly detection, lifetime predictions and online real-time monitoring.

It is the first time that the MFCCs are being used for anomaly detection in vibration and audio signals for electrical motors, as this extracted feature is usually used for human speech identification in the literature.

The Q method is an inherently mixed-method approach suitable for tackling issues regarding theory, conceptualization and operationalization in the social sciences. Nevertheless, the application of this method in organizational behavior (OB) studies is still limited. This paper aims to delineate to what extent, regarding what topics, and in what ways the Q method has been applied in OB studies. Moreover, it aims to systematically explore the strengths and weaknesses of this method for the OB field.

We present a systematic literature review of 47 studies employing the Q method in OB research.

There is an upward trend in the application of Q in OB research. The studies in our sample address the following OB topics: Human resource management (HRM) (14), leadership (10), group decision-making (6), collaboration (4), culture (9) and organizational change and development (4). We describe how Q is used in a wide variety of ways.

This study shows how performance-oriented organizations can benefit from the Q method as a managerial diagnostic and intervention tool in organizational change and development and in human resources management.

To the best of the authors’ knowledge, this is the first systematic literature review on the Q method that spans the field of organizational behavior across topics and research levels, including the individual, team and organizational levels.

Introduction: The difficulties and restrictions faced during the pandemic have led various organizations to offer online services. Organizations with the necessary infrastructure have adapted more seamlessly to this shift, while unprepared organizations have faced significant challenges. Recognizing the increasing importance of digital transformation, the banking sector, as a critical player in this process, has been widely examined in the literature.

Purpose: The digitization of banking has enabled faster and more convenient access to banking services. It is crucial to investigate how customer experience, shaped by the services provided by customer-centric banking institutions, impacts customer loyalty and satisfaction. This study focuses on data collected in Ankara, the capital city of Turkiye.

Methodology: Data were collected from 564 participants through a face-to-face, online survey. Fifty-four participants were excluded from the study due to non-use of digital banking or being under 18.

Findings: We found that money transfer was the most frequent digital banking transaction. As a result of the research, we understood that there is a statistically significant relationship between customer experience and customer loyalty and satisfaction, and there was no statistically significant relationship between gender and these values.

Recent research highlights the growing use of anthropomorphizing voice commerce, attributing human-like traits to shopping assistants. However, scant research examines the influence of anthropomorphism on the behavioral intention of shoppers. Therefore, the study examines the mediating role of anthropomorphism and privacy concerns in the relationship between utilitarian and hedonic factors with the behavioral intention of voice-commerce shoppers.

The study employs structural equation modeling (SEM) to analyze responses from 279 voice-commerce shoppers.

Results indicate that anthropomorphizing voice commerce fosters adoption for hedonic factors but not for utilitarian factors. Paradoxically, anthropomorphism decreases shoppers’ behavioral intentions and heightens their privacy concerns.

The cross-sectional survey design serves as a notable limitation of the study. Future researchers can rely on longitudinal designs for additional insights.

Marketers should anthropomorphize voice commerce for hedonic shoppers, not for utilitarian shoppers, and consider implementing customized privacy settings tailored to individual preferences.

The study contributes to academia and management by emphasizing the need to customize anthropomorphic features according to utilitarian and hedonic factors. Furthermore, it highlights the adverse effects of anthropomorphizing voice commerce on shoppers’ behavior, offering policymakers guidance for appropriate regulations.

The purpose of this paper is to invite Professor René Proyer, a leading positive psychologist and authority on play, to tell his story, share highlights from his research and insights into playfulness, mental health and positive psychology.

A positive autoethnographic case study approach is used to enable Professor Proyer to narrate his story while also addressing topics within a Q&A format.

Play is important for childhood, adolescent and adult mental health and well-being. Although distinct from one another, humor, laughter, creativity and playfulness exhibit overlap. Proyer’s research has even shown that just reflecting on playful moments can increase happiness and alleviate depression.

The experiences, perspectives and insight of one person are narrated in this case study and these cannot be generalized.

Play can be widely defined, and there are many ways to enjoy it freely and at no cost, making it highly accessible and practical to support mental health and well-being. By seeking out and creating playful situations, we can embrace playfulness as adults.

As Proyer relays by quoting Christopher Peterson, one definition of positive psychology is “Other people matter”. By finding ways to playfully interact with others, we can find immediate enjoyment but also build and strengthen relationships and support our health and well-being, and that of others too.

Professor Proyer is a positive psychologist and authority on playfulness. Here, he shares with us multiple insights in the areas of mental health and play.

This study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.

The author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.

The refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.

The study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.

The authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

This study aims to examine the influence of gameful experience (GAMEX) on customer brand engagement in the context of e-tailing. Drawing on the self-determination and social learning theories, the authors have developed a comprehensive model incorporating cognitive, emotional and behavioral factors leading to brand advocacy and re-visit intention for the retail website.

The data for this study were obtained from 715 customers across various e-tailing websites. This research uses both quantitative method (partial least squares structural equation modeling − PLS-SEM) and qualitative method (fuzzy set qualitative comparative analysis − fsQCA) to investigate the relationship between GAMEX and customer brand engagement in the e-tailing context, with a focus on the long-term outcomes of brand advocacy and re-visit intention.

The PLS-SEM results indicate a significant impact of GAMEX on customer brand engagement. In addition, the findings reveal the moderating role of fear of missing out, internet self-efficacy and technoeustress in the association among GAMEX, customer brand engagement, brand advocacy and re-visit intention. The findings from fsQCA support the results obtained from PLS-SEM and reveal four configurations for brand advocacy and five configurations for re-visit intentions.

This research evaluates the impact of GAMEX on customer brand engagement using a mixed-method approach involving qualitative and quantitative procedures. This study offers valuable insights into the design of gamified marketing activities and current practices for fostering greater engagement.

This study examines the role of passion in gender-specific entrepreneurial responses in times of crises and how passion manifests itself in a digital environment. Entrepreneurial passion feeds energy, tenacity, self-confidence and momentum, creating added value for a given economy.

A qualitative approach was used to conduct semi-structured interviews. To reach the research objectives, the author examined a sample of 22 female entrepreneurs and 19 male entrepreneurs in a comparative design.

The results obtained through a qualitative study prove that entrepreneurial passion is a driver of self-confidence for entrepreneurs. Moreover, the nature of entrepreneurial passion differs across gender in times of crises. Indeed, female entrepreneurs try to take their lives into their own hands by creating their own destinies. They have seized opportunities arising from purely technological progress to create their own businesses on social networks and solve the unemployment problem. Meanwhile, male entrepreneurs pursue opportunities based on market supply and demand to increase their market share and face a crisis.

These findings offer novel insights into research on social media entrepreneurs. This study could help new entrepreneurs highlight their abilities, particularly those that are most salient and central.

This study adds a new dimension to the literature on the role and nature of entrepreneurial passion in times of crises.