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The study aims to facilitate the medical tourists visiting emerging countries for various kinds of ailments by ranking the possible destinations to avail medical treatments.

A Fuzzy Analytical Hierarchical Process (FAHP) with a mixed-method approach is applied to analyze data collected from patients and substantiate it with medical tour operators in India to gain managerial insights on the choice-making patterns of the patients.

India is a preferred emerging market location due to the low cost and high medical staff quality. India offers value for money, whereas Singapore and Thailand are preferred destinations for quality and technology.

The study will facilitate the emerging markets' governments, hospitals and medical tourists to understand the importance of various determinants responsible for availing medical treatment outside their country.

The study recommends that cost and quality care are the patients' prime focus; government policies must provide clear guidelines on what the hospitals and country environment can offer and accordingly align the marketing strategies.

This study is the first attempt to rank various factors affecting medical tourism using the FAHP approach.

Resiliency is essential for achieving the necessary level of performance and ensuring the survival of a new business during difficult times. However, neither this characteristic nor its antecedents have been exhaustively studied. Using a configuration approach, this study aims to analyze the neuropsychological and business-related characteristics of entrepreneurs that may explain their resilience during the business development process.

Using the fuzzy set qualitative comparative analysis (fsQCA), the authors investigated distinct characteristics of Costa Rican agro-entrepreneurs with high levels of entrepreneurial resilience. The fsQCA methodology identifies combinations of causal measures that result in the outcome.

From the mixture of configurations, the authors found four combinations of individual’s characteristics that explain the profile of a resilient agro-entrepreneur.

This work contributes to the literature on agricultural entrepreneurship and entrepreneurial resilience. This study identifies four distinct combinations of entrepreneurs’ characteristics that produce entrepreneurial resilience in the agricultural industry. Moreover, it incorporates individuals’ business-related attributes into examining characteristics combinations that affect resilience. Also, this research offers agro-entrepreneurs’ stakeholders, valuable insights to develop more resilient entrepreneurs.

La resiliencia es esencial para lograr el nivel de rendimiento necesario y garantizar la supervivencia de un nuevo negocio en tiempos difíciles. Sin embargo, ni esta característica ni sus antecedentes han sido exhaustivamente estudiados. Empleando un enfoque de configuración, este estudio busca analizar las características neuropsicológicas y empresariales de los emprendedores que pueden explicar su resiliencia durante el proceso de desarrollo empresarial.

Utilizando el análisis cualitativo comparativo de conjuntos difusos (fsQCA, por sus siglas en inglés), investigamos distintas características de los agroemprendedores costarricenses con altos niveles de resiliencia emprendedora. La metodología fsQCA identifica combinaciones de medidas causales que originan un fenómeno o resultado.

A partir de la mezcla de configuraciones, encontramos cuatro combinaciones de características del individuo que explican el perfil de un agroemprendedor resiliente.

Nuestro trabajo contribuye a la literatura sobre emprendimiento agrícola y resiliencia emprendedora. Este estudio identifica cuatro combinaciones distintas de las características de los emprendedores que producen resiliencia emprendedora en la industria agrícola. Además, incorpora las características empresariaes de los individuos al examinar las combinaciones de características que afectan la resiliencia. También, nuestra investigación ofrece a los públicos de interés información valiosa para desarrollar emprendedores más resilientes.

A resiliência é essencial para alcançar o nível de desempenho necessário e garantir a sobrevivência de um novo negócio em tempos difíceis. Porém, nem esta característica nem seus antecedentes foram exaustivamente estudados. Empregando uma abordagem de configuração, este estudo busca analisar as características neuropsicológicas e empresariais de empreendedores que podem explicar sua resiliência no processo de desenvolvimento de negócios.

Usando a análise comparativa qualitativa do conjunto difuso (fsQCA), investigamos características distintas de agroempreendedores costarriquenhos com altos níveis de resiliência empreendedora. A metodologia fsQCA identifica combinações de medidas causais que causam um fenômeno ou resultado.

A partir da mistura de configurações, encontramos quatro combinações de características individuais que explicam o perfil de um agroempreendedor resiliente.

Nosso trabalho contribui para a literatura sobre empreendedorismo agrícola e resiliência empreendedora. Este estudo identifica quatro combinações distintas de características dos empreendedores que produzem resiliência empreendedora na indústria agrícola. Além disso, incorpora as características de negócios dos indivíduos ao examinar as combinações de características que afetam a resiliência. Adicionalmente, nossa pesquisa oferece às partes interessadas dos agroempreendedores insights valiosos para desenvolver empreendedores mais resilientes.

Drawing on the elaboration likelihood model (ELM), the authors examine the influence of perceived professor teaching qualities, as central cues, on online professor ratings. Also, our study investigates how the volume and period of reviews, as peripheral cues, affect online professor ratings.

Leveraging stratified random sampling, the authors collect reviews of 892 Information Systems professors from 250 American universities. The authors employ regression models while conducting robustness tests through multi-level logistic regression and causal inference methods.

Our results suggest that the central route from perceived professor qualities to online professor ratings is significant, including most qualitative pedagogical factors except positive assessment. In addition to course difficulty, the effect of the peripheral route is limited due to deficient diagnosticity.

Our primary concern about the data validity is a lack of a competing and complementary dataset. However, an institutional evaluation survey or an experimental study can corroborate our findings in future research.

Online professor review sites can enhance their perceived diagnosticity and credibility by increasing review vividness and promoting site interactivity. In addition to traditional institutional evaluations, professors can obtain insightful feedback from review sites to improve their teaching effectiveness.

To our best knowledge, this study is the first attempt to employ the ELM and accessibility-diagnosticity theory in explicating the information processing of online professor reviews. It also sheds light on various determinants and routes to persuasion, thus providing a novel theoretical perspective on online professor reviews.

Fake news stories have become a central element of crises that corporate public relations practitioners have confronted. Whether such stories are rumors, outright lies or deliberate attempts to discredit corporations, they have the same impact and require specific strategies for public relations practitioners to effectively respond. The purpose of this study is to uncover strategies to manage crises that arise from fake news and if and how these strategies differ for other corporate crises.

In this multi-method study of 21 in-depth interviews and a 8-person focus group with senior-level corporate public relations practitioners, authors explored decision-making strategies for responding to fake news crises. Transcripts of interviews and the focus group were thematically analyzed.

Results reveal insights regarding how public relations practitioners determine if and when to respond to fake news crises in corporations; what response strategies public relations practitioners have the autonomy to employ for fake news crises in corporations, and how public relations practitioners control media narratives during fake news crises in corporations.

The findings guide public relations practitioners to craft an autonomous decision-making process and effective online listening strategies—establishing a watchful waiting approach—and determine if the fake news issue is a passing moment or movement swirling into a crisis.

Few studies have examined the perspectives of crisis communication experts about minimizing and managing fake news crises. The study identifies opportunities for future research focused on crises originating from fake news and disinformation.

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

This study aims to examine the potentially important effects of academic embeddedness on college of business student retention and performance as well as the mediating effects of self-efficacy on the academic embeddedness student outcomes relationships. Improvements in student retention and performance reduce costs for students and universities and lead to higher incomes for graduates.

Data were gathered from students in an entry-level business course at a public university in a rural western state. Approximately 45% of the students were female, and the average age of participants was 20 years old. A survey was administered midsemester to gather data on academic embeddedness and self-efficacy. Retention was indicated by a student enrolling in a business course in a subsequent semester. Performance was measured using end-of-semester course grades. Logistic and linear regression as well as mediation analysis were used to test the hypotheses.

Academic embeddedness was found to positively predict both retention and performance, while self-efficacy was found to positively mediate the academic embeddedness retention relationship. The direct effect of embeddedness on performance was not found when controlling for self-efficacy.

Student retention and performance are important to both students and academic administrators. The findings of this study suggest that retention and performance can both be improved by focusing on factors that more strongly embed students to their colleges.

Embeddedness has been found to have high predictive validity in the employment context. This is one of the first studies to consider the effects of embeddedness in the academic context.

This research theoretically proposed and empirically validated a Customer-Based Brand Equity (CBBE) scale specifically for Medical Tourism for emerging economies including recent findings from tourism theories such as gravity model and signalling theory, but more specifically accommodating political, cultural, economic, legal and social influences.

In-depth literature reviews from tourism, medical tourism, healthcare and hospitality domains are used to propose the theoretical model. The authors have used the lavaan package in R for the empirical analysis and model verification.

The research included, tested and verified the established latent variables such as “brand awareness”, “brand association”, “perceived quality” and “loyalty”, along with new observed variables for the CBBE scale from the theoretical perspectives of this research. “Infrastructure” has emerged as a new scale construct and “culture” was found to be a moderating variable for “perceived quality” in the CBBE scale, which are novel additions to the literature.

The research contributed to scale refining, latent construct assessment, and fine-tuning of the observed variables for the mentioned theoretical gaps.

Due to the intense rivalry in the smartphone market, manufacturers of mobile phones are becoming increasingly interested in knowing the factors that influence consumers' purchase intention. This paper aims to examine the effect of country-of-origin image, brand image and attitude towards the brand on the purchase intention of smartphone users.

An empirical study was performed based on the information gathered from smartphone users. The structural equation modeling (SEM) technique was applied to examine the hypotheses.

The authors found that brand image and attitude towards the brand significantly influence consumer purchase intention. Additionally, there is an indirect effect even when the nation of origin image does not directly influence the consumer's purchase intention. Indeed, brand image and attitude towards the brand act as a mediator between the country-of-origin image and purchase intention.

This study presents a conceptual model on the impact of country-of-origin image on the propensity of consumers to buy smartphones in a field where little research has been done. The investigation offers a consumer-focused analysis regarding the country-of-origin image. This suggests a significant shift from the current strategy, which is frequently centered on the viewpoint of the companies.

This study aims to explore supply chain resilience (SCR) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (SC) vulnerability in an uncertain environment.

This study involves measuring the resilience status of 37 organizations across 22 industries based on a subjective decision-making approach using fuzzy logic. Experts from industries rated the importance and level of implementation of 33 attributes of SCR, which are used to develop a fuzzy index of implementation that explains the resilience status of organizations.

A novel coexistent resilience index is computed based on mutualism to exhibit the proportion of contribution or learning of each attribute of an organization in an industry. The research will enhance the response plans and formation of strategic alliances for mutual coexistence by industry.

Evidence-based interpretations and suggestions are provided for each industry to enhance resilience through coexistence.

The work uniquely contributes to academic literature and SC strategy. The novel coexistent resilience index is computed based on mutualism, facilitating researchers to access SC resiliency.