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Although there is evidence that the efforts of pharmaceutical marketing exert a positive and significant influence on physician prescription decisions, the specific mechanisms by which this impact occurs remain uncertain. To address this issue, this study aims to investigate whether the physician’s habit persistence may explain the relationship between marketing efforts such as brand attributes and drug promotion and prescribing behavior. This study also explores whether there was any significant difference between specialists and general practitioners (GPs) regarding the effect of brand attributes and drug promotion on physician’s habit persistence, which influences prescribing behavior.

A survey instrument was administered to physicians, encompassing specialists in a particular field and GPs who provide primary care services. A nonparametric partial least squares multigroup analysis was used to analyze 393 valid responses using partial least squares-structural equation modeling.

The results indicate that the decision to prescribe the drug may be affected by the physician’s habit persistence in the presence of vital brand attributes and drug promotion. The relationship between physician’s habit persistence and prescribing behavior is significant in GPs and specialist groups. The findings also reveal that brand attributes are the most influential and significant determinant of physician’s habit persistence in the GPs group. In addition, physician specialists are more aware of the influence of drug promotion initiatives than GPs. Furthermore, this study discovered that the relationship between drug promotion and physician’s habit persistence indicates a significant difference between specialists and GPs.

Although several marketing scholars discuss the factors influencing prescribing behavior, a few studies have shown the role of brand attributes and drug promotion and their effect on physician’s habit persistence. This study will specifically contribute by examining the mediating role of physician’s habit persistence between marketing efforts and prescribing behavior. In addition, so far, no studies have effectively made a comparative analysis across physicians regarding the effect of marketing efforts on physician’s habit persistence and prescribing behavior.

The purpose of this paper is to elucidate the factors influencing creativity in information system development (ISD). Specifically, this paper compares two groups, students and practitioners, in order to identify salient factors influencing creativity in this field.

An empirical study was conducted through two online surveys in Taiwan. The subjects were university students (n=220) and practitioners (n=187) who had ISD project experiences. Data were collected via an online survey and analyzed using partial least squares (PLS) structural equation modeling. The authors present state-of-the-art PLS path modeling, including heterotrait-monotrait, standardized root mean square residual, second-order identification, and partial least squares multigroup analysis (PLS-MGA).

Both the student and practitioner results showed that the most salient factor influencing creative behavior was use of creativity technologies. In addition, cognitive style, recognition, and database programming had a significant positive effect on creative behavior for the students but not for the practitioners. The PLS-MGA results indicated that differences in creative behavior between the students and practitioners need to be considered.

There are two main limitations. The first one is its design. This study was cross-sectional and there is a likelihood of common source bias due to self-reported data. In the future, researchers can use brain-imaging tools (e.g. functional magnetic resonance imaging (fMRI)) or eye tracking measurement to reduce self-reporting bias in creative behavior research. The second limitation is related to the sample. The subjects were university students and practitioners who had ISD project experiences; however, the heterogeneity of the investigated individuals (e.g. background, ability or experience) in university or industry may limit the power and generalizability of this study. Future studies may take same samples into consideration.

No previous study has investigated factors influencing the creativity of information system (IS) students and practitioners by using a decomposed and second-order research model. Thus, this paper, based on Amabile’s creativity theory, attempts to elucidate the factors influencing IS students’ and practitioners’ creativity.

This study aims to investigate religiosity and entrepreneurial motivation roles in the goal-specific, involving Muslim students’ entrepreneurial intention and self-efficacy. Besides, it examines the robustness model based on group context.

Partial least square structural equation modelling is employed to examine 502 data collected from Muslim students in Indonesia through an online survey. Meanwhile, partial least square multigroup analysis tests the robustness model.

Religiosity plays a powerful role in increasing goal-specificity. Meanwhile, entrepreneurial motivation and self-efficacy perform as full mediations in the pathway mechanism of religiosity's effect on entrepreneurial intention.

The current study is conducted based on the previous recommendations and contradictions. Therefore, it clarifies and develops a study on the role of religiosity and entrepreneurial motivation in the goal-specific motivation of Muslim students.

To increase the goal-specificity of entrepreneurship activities, policymakers in the ministry of education and universities must implement and revitalize Muslim students' understanding of the relationship between religiosity and entrepreneurship.

This study defines the role of religiosity in goal-specific, especially Muslim students’ entrepreneurial intentions, by gender, faculty/department and age. Furthermore, it completes the opportunity for research agendas on the relationship between religiosity, entrepreneurial motivation, self-efficacy and entrepreneurial intention.

In the wake of lockdown regulations and limited mobility during the COVID-19 pandemic, dining habits shifted towards usage of food delivery apps to avoid physical interaction. Nonetheless, it is unknown whether the COVID-19 pandemic had an influence on the adoption of food delivery apps. Therefore, this study examined factors influencing the adoption of food delivery apps during the COVID-19 pandemic, as well as the moderating effects of education and age.

Data were collected from 282 food delivery application users in South Africa using a web-based survey. Partial least square structural equation modelling analysis was used to test the hypotheses, while partial least squares multigroup analysis was used to examine the moderating effect of education level and age.

The results indicated that perceived ease of use has a significant impact on perceived usefulness and attitudes, perceived usefulness has an impact on attitudes and continuous intention, attitude influences continuous intention and social pressure and convenience influence attitudes. The perceived COVID-19 threat had no impact on attitudes, and education and age had no significant impact on any relationships. The findings are imperative for restaurants and mobile application designers, as they enable more effective strategic management planning.

This study is the first paper to empirically employ technology acceptance model to analyse the adoption of food delivery applications during the COVID-19 pandemic. Its uniqueness is in examining situational influence associated with the pandemic such as social pressure, perceived COVID-19 threat and convenience.

The purpose of this paper is to determine the key factors influencing the adoption of grocery shopping and to examine the moderating effect of education between antecedents of the adoption of grocery shopping apps and user attitude and intention to purchase.

This study adopted partial least squares structural equation modeling (PLS-SEM) to evaluate the relationship between the latent variables: perceived usefulness, perceived ease of use, attitude and intention to use grocery shopping apps. Partial least squares multigroup analysis (PLS-MGA) was used to examine the moderating effect of education. A total of 305 grocery shopping apps users were surveyed using a structural questionnaire.

The results indicated that all the factors considered in the framework were significant in predicting the intention to use the grocery shopping apps. The findings show that education has no significant impact on any relationship.

A better understanding of the factors that affect the acceptance of mobile grocery shopping apps is important for developing better strategic management plans.

This is one of the first studies to research the adoption of grocery shopping apps in a developing country, as well as the first to focus on consumers in South Africa.

Integrating the social exchange and resource dependency theories, the study aims to comparatively examine the supplier relationship management (SRM) dimensions and organizational performance links of private and public hospitals in Ghana.

Comparative in nature; employing a quantitative approach; and using simple random and convenience sampling techniques, the study tested the proposed hypotheses using structural equation model-partial least square based on 205 usable questionnaires. Partial least square-multigroup analysis (PLS-MGA) was performed to test the significance of the difference in the parameters between the two samples: private and public hospitals in Ghana.

The dimensions of SRM (communication, cooperation, trust, atmosphere and adaptation) have a significant, positive impact on private hospitals’ performance in Ghana. Similarly, communication and trust were found to be positively and significantly correlated to public hospitals’ performance. In contrast, cooperation, atmosphere and adaptation dimensions showed no significant, positive effect on public hospitals’ performance. PLS-MGA disclosed that these observed differences in the findings between the private and public hospitals in Ghana are statistically significant.

The findings of the study, while limited to hospitals in Ghana, are likely to be relevant in other emerging economies for effective and enhanced supply chain relationship management.

The findings provide pragmatic insights for marketing practitioners and organizational leaders of hospitals about the significance of SRM dimensions in today’s globalized marketplace, and how to nurture them to enhance organizational performance.

The value of the study lies in the examination of the relationship between SRM and organizational performance in the health sector by comparing private and public hospitals in an emerging economy context.

This study aims to explore how social media affects decision-making among tourists and whether there is a potential effect of age, which is studied through generations. For this purpose, baby boomers, Gen X, Gen Y and Gen Z tourists are studied and real-time implications are offered.

The study adopts a descriptive and exploratory design where the conceptual model of social media-based decision-making is developed through a review of the literature. Quantitative analysis is conducted on primary data from 600 Indian tourists. This is done using a self-administered questionnaire adopted from Gulati (2022) after checking its validity and reliability. The statistical analysis for hypothesis testing is done using PLS-SEM path modelling on pooled data. To study the categorical moderating effect of generations, partial least squares multigroup analysis (PLS-MGA) is performed as a paired comparison on every successive generation.

After testing every successive younger generation with an older generation through PLS-MGA, none of the pairs found any significant differences in path coefficients, as the values obtained were 0.05 < p < 0.95 for all five paths (SM → NR, SM → IS, SM → E, SM → P, SM → PPB). This indicates all the generations behave in a similar manner irrespective of them being older or younger, and age does not moderate social media’s impact on decision-making among Indian tourists.

The study establishes India as a unique geographical market and suggests tourism marketers to treat all generations at par, irrespective of age, as they behave and interact with social media in a similar manner. But, because this study is restricted to a single geographical location, i.e. India, further regions can be explored for global generalisation. Future research can also explore other demographics for combined, moderated analysis. Findings from the study suggest that marketers should ensure that equal attention is given to all generations as they engage with social media in a similar manner. Targeted marketing using artificial intelligence can help in ensuring custom ads. Personalisation according to generations can also facilitate greater purchases.

The study fills a major population and knowledge gap by exploring a topic that has been highly under-researched. Also, the study adopts an inclusive approach by analysing all the generations, both younger and older, to understand the potential effect of age on moderating the impact that social media has on tourist decision-making. Further, real-time suggestions and implications are offered to tourism marketers with special reference to the Indian tourism industry.

The purpose of this paper is to examine the extent to which a destination's security level affects the relationship between personality traits and individuals' expatriation willingness.

The authors apply an experimental vignette methodology using a 2 × 1 between subjects-design with two destinations characterized by different security levels (dangerous vs. safe) among 278 participants (students and employees). Partial least squares multigroup analysis (PLS-MGA) was employed to test the hypotheses.

The findings indicate that different personality variables appear to impact individuals' expatriation willingness depending on the security level of a destination: emotionality and conscientiousness predicted expatriation willingness to dangerous environments, whereas openness to experience predicted expatriation willingness to safe environments. The personality traits of honesty–humility, extraversion and agreeableness were not found to influence expatriation willingness in either scenario.

The study discusses a set of practical recommendations for the selection and the management of eligible individuals who are willing to expatriate to dangerous locations.

The study is among the first to examine the influence of personality on expatriation willingness in safe and dangerous environments at the same time. It advances prior research by providing a more nuanced understanding of the context-specific effects of personality on expatriation willingness.

The link between service quality and customer satisfaction has been well established; however, there are strong reasons to believe that gender moderates the effects of service quality dimensions on customer satisfaction. This study aims to uncover gender-based heterogeneity pertaining to the link between service quality dimensions and customer satisfaction in the context of banking services.

This study adopted a survey design. Data is collected from 282 customers of banks in Mauritius. Because of the prediction-oriented aim of the present study, the partial least squares-structural equation modeling technique is used to test a set of relevant hypotheses.

The results provide mixed findings and the moderating effect of gender is found to be statistically significant for one service quality dimension but not for the other two. The permutation and partial least squares-multigroup analysis tests both support the hypothesis that gender moderates the relationship between environment quality and customer satisfaction.

Only customer satisfaction has been included as a mediator of service quality and customer loyalty link. Previous studies have identified other relevant constructs, such as image and the perceived value, as mediators. Future studies could consider including these constructs when testing gender’s moderating effects. Finally, given the significant moderating effect of gender, which suggests that the satisfaction of male customers depends to a larger extent on environmental quality, there is a need to further explore the specific expectations of male customers with this particular component of bank services.

The results show that male and female customers react differently to quality stimuli in the context of bank services has important managerial implications. It is highly recommended that banks develop differential strategies for both male and female customers.

The primary contribution of this study focuses on exploring the moderating effect of gender on the relationships between service quality dimensions and customer satisfaction among bank customers.

The main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.

Data were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.

Empirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.

Findings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.

This research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.