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This study explores the shopping orientations of omnichannel customers through the lens of generational cohort theory, which influences their decision-making style while shopping online. It offers key insights into how Generations X, Y and Z interact with digital platforms, helping retailers adapt to the shifting dynamics of modern customers.

Using different customer decision-making styles, a comprehensive questionnaire was administered to a diverse sample selected via systematic probability sampling. The responses were analysed using multivariate and post hoc analysis to uncover generational and product-based differences in online shopping orientations.

The analysis reveals apparent generational differences. Gen Z is driven by affordability and quality, while Gen Y is brand-conscious and willing to pay premium prices. In contrast, Gen X exhibits strong brand loyalty, although younger generations show a decline in brand attachment. These findings suggest that retailers must blend online and offline channels to boost customer engagement and loyalty, especially among omnichannel customers.

The study relies on self-reported data, introducing the potential for recall bias, which could affect the accuracy of reported behaviours.

Understanding different generational cohorts’ distinct online shopping behaviours empowers marketers and retailers to craft personalised strategies that enhance customer engagement and drive brand loyalty and satisfaction. By tailoring experiences to the unique preferences of each generation, retailers can ensure seamless shopping journeys that resonate across product categories, maximising their market impact and customer retention.

By applying generational cohort theory, this study uniquely examines the underexplored group of omnichannel customers, offering fresh insights through multivariate analysis into how generational cohorts and product types shape online shopping behaviour, providing valuable guidance for retailers.

This article undertakes a literature review on showrooming, offering an exhaustive overview of research publications and future research objectives that will contribute to extending the understanding of the phenomenon.

The showrooming literature has been collected from journals indexed by SCOPUS and ranked by ABDC. This was later analysed with the SPAR-4-SLR framework and the TCCM methodology (theories, contexts, characteristics, and methodologies) proposed by Paul et al. (2021) and Paul and Rosado-Serrano (2019).

The insights of this review include bibliometrics of showrooming research and the number of explored showrooming theories, methodologies, and contexts from which the phenomenon has been studied. It also highlights the various aspects that might be considered while building an optimal approach.

Articles published in SCOPUS-indexed and ABDC-ranked journals between 2012 and August 2022 were considered. Some articles published in conference proceedings and journals, not fulfilling the aforementioned criteria, might have been missed.

SPAR-4-SLR and TCCM methodologies would aid the researchers in further exploration of this phenomenon and suggest options for enhancing customer experience (CX) eventually leading to customer retention. Retail channel managers will find this knowledge handy in “encouraging loyal showrooming” and ensuring business sustainability.

This study uses the novel SPAR-4-SLR framework to structure the review, while TCCM methodology sheds light on the showrooming from the perspective of various theories, contexts, characteristics, and methodologies. The scope for further research identified through the above-mentioned framework and methodology would be of high value to the researchers and practitioners alike.

Industrial Revolution 4.0 prompts organizations to adopt emerging technologies, and the healthcare industry is no different from them. Further, it is important to adopt new edge technologies to improve services and the well-being of patients. This research synthesizes the work most influenced by this technology and the trends and usage of Industry 4.0 technologies in the healthcare sector.

The study has used the Scopus and Web of Science databases to retrieve articles published in healthcare and Industry 4.0 for bibliometric analysis. Specifically, Bibliometrix (R-package) and VOSviewer were used to analyze data related to authors, sources, keywords and content analysis.

The study found increased research trends in Industry 4.0 and healthcare in recent years. The USA, India and China are top contributors in this field, showing research progress in developed and developing economies. Dwivedi Y and Kumar A. were top researchers in the field. The finding also reveals that predictive analytics, deep technology and sustainable development are emerging areas for healthcare where Industry 4.0 can play a crucial role.

Using Industry 4.0 technologies can help the company improve its services, operational efficiency and patient care.

The study explored the trends in the healthcare sector for using Industry 4.0 technologies through bibliometric analysis.

Performance management systems (PMSs) are critical for organizational success, but research is undecided on their constructive influence and the means through which they impact work engagement and turnover intention. This study aims to fill this gap by surmising psychological contract fulfillment as a mediator in the relationship between PMS effectiveness (PMSE) and employee outcomes.

The study uses a survey research design. Data were collected from 327 working professionals in India. The Statistical Package for Social Science Version 10.0 (SPSS 10.0) and the Analysis of Moments Structure (AMOS) 4.0 were used for data analyses.

The two-factor construct perceived PMSE was found to explain a larger variance in work engagement and turnover intention than the separate measures for its constituents PMS accuracy (PMSA) and PMS fairness (PMSF). Psychological contract fulfillment and work engagement were found to mediate the relationship between PMSE and turnover intention.

The study broadens the field of research on PMS in important ways. It demonstrates that the two-factor construct PMSE has a larger influence on employee outcomes in comparison to its constituent individual measures PMSA and PMSF. This is also the first study to suggest that in contrast to PMSF, PMSA explains a higher variance in employee outcomes.

This study validates the strong relationship between PMSE and key employee outcomes. Besides PMSF, managers can use the findings of this study to focus on the “right things” or accuracy in the PMS context to enhance work engagement and reduce turnover.

The study findings will have value everywhere owing to the diffusion and convergence in the human resource management practices of multinational firms irrespective of their contexts (Ananthram and Nankervis, 2013).

Earlier PMS studies have mostly been limited to either its fairness or accuracy and attended unduly to its appraisal element. This study adopts a systems vision of PMS and overcomes earlier drawbacks by investigating the role of both PMSA and PMSF in shaping employee outcomes. This is the first study to empirically confirm that in contrast to PMSF, the PMSA constituent of PMSE explains a higher variance in employee outcomes. The study provides greatly essential pragmatic support to the conjecture that PMSs advance work engagement (Mone and London, 2014; Gruman and Saks, 2011) and lower turnover intention (Kwak and Choi, 2015).

This study explores the present state of research related to omnichannel retail, investigates retail's different sub-areas and suggests future research directions.

The subdomains of omnichannel retail have been identified using a keyword co-occurrence network (KCN) map and content analysis. The 5W1H method assisted in finding the bibliographies of 258 SCOPUS-indexed and ABDC-ranked journal articles and showcasing the omnichannel retail landscape.

Most research on omnichannel retail is concentrated on five subdomains: customer behaviour, channel integration, technological innovation, supply chain and operations and strategy. The study's conceptual framework illustrates the omnichannel retailing environment and the variables that must be considered whilst establishing an omnichannel strategic vision. Besides, future researchers have been urged to concentrate on interdisciplinary research, as a seamless experience is unachievable if focussed on a single subdomain.

There is a slight probability of missing out on some good articles as this study considered only those articles that have been published in SCOPUS and ranked by the ABDC quality list.

This study emphasises that for businesses to capitalise on the omnichannel model, the businesses must undergo a transformation involving technology convergence, customer-centricity and internal process reorganisation that integrates consumer feedback to co-create value. When a business adopts an omnichannel model, the business's priorities shift. Rather than depending solely on technology, faster delivery and channel integration, an omnichannel strategy requires strong leadership, a clear vision, training for all stakeholders and an understanding of customer pain points to reach the full potential.

The illustration of the omnichannel retail landscape using the 5W1H methodology and antecedents-decisions-outcomes (ADO) framework.

Concerns about the effectiveness of performance management systems (PMS) have long-driven researchers and practitioners to explore ways of measuring it. It is imperative for organizations to understand, how employees perceive the effectiveness of their PMS, for positive employee outcomes. Hence, the purpose of this paper is to explore the operationalization of the construct “employee perception of PMS effectiveness” (PMSE). An evidence of construct validity for the “two-factor PMS effectiveness” measure with perceived “PMS accuracy” and “PMS fairness” as its two factors is provided. In addition, a scale to measure “employee perception of PMS accuracy” is developed.

Mixed-methods research methodology.

Findings confirmed the possible existence of the two-factor PMSE construct, with PMS accuracy and fairness as its factors. Construct validity is established through its correlations with important outcome variables. The development of a valid and reliable 12-item scale for perceived PMS accuracy (Cronbach α value=0.83) is an additional key contribution.

The research presents opportunities for future empirical studies to examine the influence of PMS accuracy and effectiveness on employee outcomes (engagement, retention, etc.). Researchers may also cross-validate the PMSE measure in different socio-cultural contexts.

The perceived PMS accuracy and effectiveness measures can serve as powerful investigative tools to measure employee perceptions regarding PMS. It can help organizations identify and correct the shortcomings in their existing PMS.

This is the first paper to offer a cogent conceptualization and operationalization of employee perceptions of PMS accuracy and effectiveness. Hence, it has key implications for academics and practitioners.

A strong anti-immigrant and anti-refugee sentiment permeates the political discourse in the United States and many Western European countries. This political discourse, along with policies designed to limit immigration, is likely to influence the academic motivation of students from immigrant groups. In this chapter, we consider how anti-immigrant sentiment in the host countries may affect the motivation and achievement of immigrant and refugee students. Specifically, we apply findings from research examining stress and anxiety, belonging, identity, teacher expectancies, and stereotype threat to speculate about how these motivational factors may be affected by anti-immigrant rhetoric. Next, we use Maehr’s (1984) theory of personal investment (PI) as a framework for integrating the various components of motivation that can be applied to the current plight of immigrant and refugee students. The chapter concludes with a brief discussion about the steps we can take, both at the personal and the policy levels, to counteract the hostile political discourse and promote higher levels of PI in education among immigrant and refugee students.

The primary objective of this paper is to model internal corporate communication (ICC) process, examining the nature of the process, the outcomes thereof and the variable that has the ability to mediate the process, in the context of an Indian petroleum public sector undertaking (PSU).

Following a review of the internal corporate communication and internal branding literature, an exploratory methodology was designed to capture the perceptions of employees on internal brand communication practices prevailing in the organization with an ambition of becoming a leading employer brand. Transcripts of interviews were analyzed, coded thematically and the essence of experiences was jointly combined into one description.

First, a relation between ICC dimensions and internal branding outcomes is established. Second, it is recognized that ICC practices and brand training have a positive impact on communication satisfaction that further promotes a sense of brand identification, loyalty and commitment among the employees.

Given the qualitative nature of the case study method, only limited generalizations can be made as the purpose of case study research is to add to theory‐building rather than to generalize to a population. There is a clear need for further empirical research. Such research could help quantify the nature of the relationships between the variables suggested and establish the extent to which the model might be generalized to other organizations.

This paper would be of value to researchers and practitioners seeking to understand and promote the specific role of ICC in achieving communication satisfaction and internal branding outcomes.

It is rare to find a company among Indian PSUs that has undertaken effective internal branding initiatives through its corporate communication department to strengthen the employer brand.

This paper aims to design, develop and validate an instrument to measure employer branding by considering existing employee perceptions.

In this systematic research, the predominant factors of employer branding are identified through Pareto analysis; using structured questionnaire information and data collected from 423 employees. The number of items and dimensions was reduced by conducting exploratory factor analysis (EFA) and validated extracted dimensions using confirmatory factor analysis (CFA) using statistical software (SPSS-21). The designed scale was verified by applying relevant statistical techniques, including a multicollinearity test, construct validity, content validity, divergent validity, convergent validity and reliability test. Structural equation modeling (SEM) was performed using AMOS, to explore the interrelationship between the dimensions of the scale.

Considering the perception of existing employees, seven factors along with 24 items scale were designed and developed to measure the employer branding. The identified seven factors are; career development opportunities; compensation and benefits; corporate social responsibility; training and development; work environment; organizational culture; and work-life balance. The proposed model explains a total variance of 70.35% and the model fit indices are within the acceptable range, validity and statistical reliability are established for seven dimensions of employer branding.

Employer branding is studied from existing employee perspective by collecting responses from the employees of the IT sector only.

This validated scale is valuable for practitioners and academicians. The proposed dimensions in the scale may help practitioners explore the impact on the outcomes of organizations such as employee commitment, employee retention, employee satisfaction and total productivity. This novel instrument helps to measure employees' perception of their employers. Further, the authors identify the gaps and accordingly plan strategies to attract and retain the talented workforce.

The authors believe that this novel measuring instrument is comprehensive and the first of its kind. Employer branding has been modeled using SEM analysis by considering the perceptions of the present employees.