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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.

This study aims to understand the mechanism by which the value of ride-sharing services influences consumers’ continuance intention.

The authors collected data from 484 Chinese ride-sharing respondents and analyzed them using partial least squares structural equation modeling.

The results show that hedonic value, social connection value and environmental value positively affect consumers’ cognitive fit and emotional fit, while utilitarian value has no significant effect on either cognitive fit or emotional fit. In addition, both cognitive fit and emotional fit significantly affect consumers’ satisfaction and continuance intention. Furthermore, satisfaction mediates the effects of cognitive and emotional fit on continuance intention.

Ride-sharing practitioners should have a clear understanding of all the value dimensions of ride-sharing services, which would subsequently increase customers’ continuance intention.

This study defines and divides the dimensions of ride-sharing value and demonstrates the significant impact of environmental value on the sustainability of ride-sharing services. This study extends fit theory by dividing it into two dimensions.

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.

Projects are increasingly becoming the key means of benefits realisation through sustainable innovation. Yet, the literature has predominantly focused on the “sustainability of projects”, emphasising traditional project short-term success metrics like time, cost and quality. This narrow perspective falls short of explaining how organisations should leverage sustainable innovation to generate broader project benefits. Our research addresses this gap by taking the recent “sustainability by project” conceptualisation. We answer the questions: (RQ1) “How do projects realise benefits through sustainable innovation?” and (RQ2) What are the drivers and challenges for organisations developing these projects?”

The empirical context is the European Space Economy. We performed a single case study regarding the European Space Agency Business application program, which aims to foster sustainable innovation to realise the benefits to society. Following a grounded theory approach, we conducted and analysed 44 interviews with managers and triangulated them with secondary data.

We build a theoretical framework explaining how projects realise benefits through sustainable innovation. We found that the drivers for benefits realisation are (1) envisioning a common sustainable future and (2) opening to the project ecology. Challenges are (1) struggling to take off sustainable innovation and (2) having a short-sighted view of the future. We also identified the practices and conditions managers consider antecedents of the drivers and challenges.

Managers may implement the identified practices to activate key drivers and navigate challenges in achieving project benefits through sustainable innovation. Policymakers could utilise these insights to shape policies that foster a project ecology conducive to sustainable innovation and long-term benefit realisation.

Our paper contributes to reconciling sustainable innovation and project benefit realisation. We offer a new empirical-grounded perspective to pivot from the “sustainability of projects” toward the “sustainability by projects”, showing the drivers and challenges for project benefits realisation.

This study examines the effectiveness of enterprise resource planning (ERP) system implementation in Russian companies, considering the vendor’s country of origin and the context of sanctions.

To estimate the impact of implementation, the event study method is employed, with a control group selected using propensity scores matching to address the issue of systematic self-selection. Operational efficiencies are calculated using the Stochastic Frontier Estimation method. The impact of the vendor’s country and the sanctions context is evaluated using regression analysis. The dataset comprises large manufacturing companies in Russia that adopted ERP systems between 2007 and 2021.

The results show that Russian companies benefit in operational efficiency even during the preparation phase for ERP implementation, and this effect persists up to a year post-implementation, after which it diminishes. Additionally, companies implementing ERP systems of foreign vendors gain more from the implementation. Moreover, the sanctions context drives an increase in operational efficiency. Furthermore, initially less efficient firms receive greater benefits from the implementation of ERP systems, while efficient firms receive smaller gains in operational efficiency.

This study offers new insights into how the choice of domestic or foreign vendor influences the impact of ERP adoption on operational efficiency in emerging economies. Our methodological contribution lies in extending the framework for analyzing operational efficiency to include firms with negative operating income, which is important in the context of emerging markets and turbulent environments.

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.

The purpose of this paper is to examine push and pull factors influencing assigned expatriates’ (AEs) decision to remain in their host countries indefinitely as long-term migrants.

In-depth semi-structured interviews were conducted with 14 individuals from different developed countries on renewable visas in their host country of Malaysia, having arrived initially as AEs. Interview data were analyzed using a thematic analysis approach.

The findings highlight push and pull factors and suggest that AEs’ decisions to become long-term migrants can be attributed to three contextual factors: personal, organizational and country.

This study provides insights for human resource managers to understand potential motivating factors that might influence an AE to consider remaining indefinitely in their host country as a long-term migrant, thus terminating their contract with their MNC employer.

This is among the first empirical studies in the field of international business on AEs who subsequently became long-term migrants in a host country. Moreover, it highlights the possible change in expatriates’ temporary status. It contributes to global mobility literature by examining how in highly skilled professionals, the pursuit of a long-term professional career and lifestyle improvement correlates with a “privileged” position in a host country.

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.