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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.

As the tourism industry emerges from full or partial closure caused by the COVID-19 crisis, it is imperative to understand the internal conditions that assisted organizations to maintain positive employee attitudes despite the adverse effects of unpopular cost–retrenchment strategies. Therefore, this study aims to understand the impacts of transformational leadership (TFL), human resource management (HRM) crisis cost–retrenchment and ethical climate (EC) on employee job outcomes affected by COVID-19 pandemic.

Mid-level managers of service organizations from a travel destination heavily reliant on the tourism participated in an online self-administered survey one month after the state eased its COVID-19 travel restrictions. Partial least square structural equation modeling (PLS-SEM) examined how TFL and EC influenced cost–retrenchment crisis–management HRM, satisfaction and trust in the organization, followed by PLS multi-group analysis (PLS-MGA) to understand differences between hospitality and non-hospitality employees.

Results revealed an overall positive effect of TFL that diminished the negative affect of HRM cost-retrenchment on employee satisfaction. PLS-MGA showed a significant positive role of other-focused EC on employee outcomes, especially for hospitality organizations, whereas self-focused EC had a negative impact for non-hospitality firms.

This study contributes to contingency theory of leadership by demonstrating that TFL in combination with EC mitigates or overpowers the negative effects of cost–retrenchment crisis management strategies on employees. The study advances knowledge of self-focused and other-focused moral reasoning climate impacts under COVID-19 conditions for hospitality organizations. The industry comparison results highlight the important positive characteristics of hospitality crisis management.

Building on stimulus organism response theory, the current study examines the influence of channel integration quality dimensions (channel service configuration and integrated interactions) on the omnichannel retail store's shoppers' satisfaction, trust and commitment, subsequently leading to customer citizenship behavior (CCB). It examines the relationships proposed against boundary conditions, the number of channels used during the purchase and gender.

The research is descriptive, quantitative and cross-sectional investigation. It was conducted using data from 451 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM and PLS-MGA.

The results indicate that channel service configuration positively impact the dimensions of relationship quality of the omnichannel shoppers. However, integrated interactions influence trust and commitment directly but affect satisfaction indirectly through trust. Subsequently, relationship quality significantly explains CCB. The model results show r2 = 0.402 for CCB; that is, 40.2% of CCB is explained by channel integration and relationship quality. The moderating effect of the number of purchase channels used and gender on all proposed relationships were tested. PLS-MGA results revealed channel service configuration led to shopper commitment, subsequently impacting CCB. The effect was more among shoppers who used more than 2 channels. The impact of channel service configuration on commitment was seen more among female shoppers. Male and female shoppers exhibited satisfaction-driven and trust-driven citizenship behavior, respectively.

The study is carried out in the Indian population, where omnichannel retailing is still in the nascent stage.

This is the first study to demonstrate channel integration quality may influence customer citizenship behavior through relationship quality dimensions, tested against boundary conditions, the number of channels used during the purchase and gender. The findings from this research would help retail store managers design their omnichannel operations to encourage firm-beneficial value co-creation behaviors among omnichannel shoppers.

At the onset of the COVID-19 pandemic, social distancing measures and diffuse communication by media led to consumers’ uncontrolled product purchases worldwide. This phenomenon was described as a psychological effect experienced by fictitious scarcity, anxiety and herd mentality exacerbated by the media. This exploratory study aims to analyze the impact of risk communication on the perceived risk from the psychological dimension of consumer behavior amid the COVID-19 pandemic.

An exploratory study was conducted through an electronic survey one week after implementing social distancing measures in Puerto Rico. With a sample of 353 participants, the data analysis was carried out by PLS-SEM, partial least squares structural equations (PLS-MGA), multi group test (MGA) and hierarchical component models to answer the research hypotheses.

The results revealed that risk communication activates the perceived psychological risk during the COVID-19 pandemic, and the way in which the consumer faces the psychological risk is explained by the perceptions of scarcity and the bandwagon effect.

To the best of the authors’ knowledge, this study is a pioneer in presenting relationships between risk communication and perceived risk in consumer behavior, a topic that needs to be addressed in the academic literature. The research makes significant contributions to the study of consumer behavior by empirically validating the three phases of the Conchar model – risk framing, risk assessment and risk evaluation – where risk communication offers an excellent delineation to understand the consumer’s behavior during a pandemic.

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.

This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this relationship differs among efficient and inefficient organization units.

This study drew on merging the principal component analysis (PCA), data envelopment analysis (DEA) and partial least square-multigroup analysis (PLS-MGA) to benchmark the performance of organizational units affiliated with Zagazig University in Egypt using PE dimensions as inputs and EE as output. Besides investigating whether PE inputs have the same effect among efficient and inefficient units.

Performance assessment based on independent data showed that all the investigated organizational units are not at the same efficiency level. The results revealed that there are eight efficient units versus seven inefficient ones. Moreover, PLS-MGA results demonstrated that no significant differences concerning the impact of PE inputs on EE between efficient and inefficient units groups. Nevertheless, the effect of these inputs was slightly higher in the former.

Studies on EE performance in the service sector are scarce in the literature, this study is a novel contribution of exploring EE efficiency in Egypt as a developing economy. Specifically, using the PCA-DEA-structural equation modeling approach.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

Businesses embark on cause-related marketing (CRM) initiatives as a marketing strategy to fortify consumers' behavioural intentions. Prior research indicates that human values could be tapped to understand the consumers' responses to perceived organizational motives behind undertaking social cause initiatives. This research employs Schwartz's theory of human values to examine consumers' patronage intentions towards CRM-linked fashion products. Moreover, fashion leaders play a crucial role in the diffusion of the latest fashion and fashion trends. This research investigates by integrating human values and fashion leadership, offering insights into CRM-linked fashion consumption motives.

The overarching goal was to investigate the complex interplay between human values and female fashion leadership to predict CRM patronage intention (CPI). Hence, a large-scale research study on 2,050 samples was undertaken by adopting threefold partial least squares–multigroup analysis–artificial neural network (PLS-MGA-ANN) to establish and empirically test a comprehensive model.

This study is unique as it establishes and validates the relative or normalized importance placed on human values by fashion leaders, thereby predicting CPIs. The results revealed that women with high-fashion leadership and specific value types (benevolence, universalism, self-direction) are more likely to patronize CRM-linked fashion retailers. In addition, the findings validated that women with low-fashion leadership and specific value types (tradition, security, conformity) are more likely to patronize CRM-linked fashion stores.

The findings provide a valuable rationale to non-profit marketers, fashion marketing experts and practitioners to design customer value-based profiling and manage crucial CRM decisions.

E-commerce live streaming (ELS) has become a new and important shopping channel. Although previous studies have provided insightful findings on how to engage consumers in ELS, limited effort has been made to explore the role of factors of live streaming rooms. Based on the literature on space perception and the retail environment, this study aims to develop a theoretical model to examine how perceived distance and perceived depth affect consumers' affective and cognitive perceptions and then further impact product attitude in ELS.

This study collected 414 valid survey responses to test the proposed research model. Survey data were analyzed using partial least squares (PLS)-structural equation modeling. The PLS Multi-Group analysis (PLS-MGA) was used to test the consistency of the research model across different product types and watching durations.

The results suggest that environmental factors of a live streaming room (i.e. perceived distance and perceived depth) can impact consumers' attitudes toward the product in the live streaming via both cognitive and affective routes. These effects keep consistent across different product types and watching durations.

The paper focuses on the environmental perspective, which is unexplored in previous literature on ELS. It highlights the importance of the space design of live streaming rooms.

This paper aims to model Muslim consumers' purchase behaviour that predicts the impacts of behavioural factors of spirituality, emotional value, image, trust and satisfaction on Halal-labelled food products. The model was used among Muslim consumers in Indonesia and France.

A survey was conducted among Indonesian and French Muslim consumers who had bought Halal-labelled food products. The model was examined using Partial Least Squares Structural Equation Modeling (PLS-SEM) with multi-group analysis (PLS-MGA) to test specific differences between sample groups.

All proposed hypotheses were accepted, except for the trust in purchasing behaviour. It was not significantly different in the two sample groups. The linkage from image to purchasing behaviour was not significantly related to the French sample group, and emotional value did not influence Halal-labelled food product purchase behaviour in the Indonesian sample group. The MGA results found a significant difference in spirituality, emotional value image and trust among Indonesian and French Muslim consumers.

The guarantee of Halal food through a Halal label can fulfil the spirituality of Muslim consumers in carrying out Allah’s (SWT) command to consume Halal food, creating a product image, trust, satisfaction and emotional value that encourages positive buying behaviour. The finding shows that Muslim spirituality has extended the Islamic marketing literature to predict Muslim consumer behaviour. The company can emphasise in advertisements that the Halal-certified logo reflects the quality of products.

To the best of the authors’ knowledge, this research is among the early study empirically confirming that spirituality and emotional value are critical domains to predict purchase behaviour between two different groups of Indonesian and French Muslim consumers.