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This chapter investigates the relationship between sustainable human resource (HR) practices and employee intentions to engage in sustainable behavior within an eco-friendly hotel. Specifically, we examine the influence of internal sustainability orientation, supervisory support, training, and rewards, as well as the mediating role of employees' knowledge of the resort's sustainability practices.

This research investigates the role of trust and social capital in shaping consumer behaviour in collaborative consumption (CC) platforms. By integrating system quality, social referral and shared goals, this study aims to develop a comprehensive framework that explains how these factors influence social trust, self-efficacy and ultimately drive consumers' intention to adopt CC.

This study aimed to determine the factors affecting consumers’ perceptions and intention to purchase home meal kit services (HMK), a convenient home-cooked meal option, considering the moderating effects of monetary restriction, through the lens of the theory of planned behaviour (TPB).

This cross-sectional study used an online, self-administered survey to collect data from 374 US adults. Results were tested for variable associations via multiple linear regression and moderation analyses.

HMK adoption intention was positively associated with attitude and subjective norms but negatively associated with perceived behavioural control. Consumers’ HMK attitude demonstrated a significant positive relationship with food safety concerns and perceived time constraints. Income and financial constraints were significant moderators of the associations between TPB determinants and HMK intention. The findings emphasised the possibility of using HMK as a foodservice option for time-challenged consumers with food safety concerns.

This study addressed the limited research on HMK, a competitive meal option that foodservice businesses could implement to boost revenue. The study establishes the contribution in understanding the motivators and barriers that potentially affect consumers’ HMK behaviour through the lens of TPB. The results expand the scope of the TPB application in food-related research, providing a deeper understanding of antecedents and other factors on consumers’ HMK behavioural attitudes. Understanding this information will enable practitioners to develop strategies that meet consumers’ concerns when embracing this service to promote HMK.

This paper aims to investigate the factors that influence millennial purchase behaviour, brand choice and distribution channel selection in an evolving technology-driven environment.

The study was exploratory, using qualitative methods of personal interviews and some ethnographic observations to collect data from 585 millennials from ten cities in nine African countries.

Findings from the study confirm and support the critical role of e-commerce in facilitating millennials engagement with brands, highlighting how brand purchases are integral to their lifestyle choices. There is an overwhelming confirmation of the importance of influencer marketing and social media in shaping purchase decisions, with new insights into the role of local micro-influencers and social networks. The findings from the study highlight the pivotal role of a brand’s country of origin in influencing millennials’ brand preferences. The study supports and advances insights into the importance of online shopping and diverse factors influencing millennials’ selection of distribution channels.

There is an opportunity to leverage the growing mobile telephone penetration and social media usage to develop innovative integrated marketing communications strategies. There are opportunities for co-creating marketing communication campaigns with millennials in different settings. These are outlined in the practical implications section.

The paper is based on original empirical data collected from ten countries and explores the behaviour of a growing but under-researched segment of millennials in Africa.

Social media use is prevalent today, but there is a possibility that it might go out of control and cause negative consequences. Furthermore, by using social media at work, businesses may develop their networks, communicate in a productive manner and ultimately expand the efficiency. The purpose of this study is to investigate the effect of social media use (SMU) on job performance (JP) through sequential mediators such as social capital dimensions (SC), self-efficacy (SE), job satisfaction (JS) and knowledge sharing (KS) in Indian Public Universities.

Serial mediation model has been used in the study to analyse the relationship. Data is collected from teaching faculty (n = 702) who use social media in Indian public universities. The study has assessed the association between variables using structural equation modelling.

The findings suggest that the dimensions of SC, SE, JS and KS sequentially mediated the effect of SMU on JP. In light of the results, the SMU specifies prerequisites for the development of various dimensions of SC. Similarly, the rest of the mediating constructs further affect the other constructs, which ultimately positively affect JP. The final result shows that the indirect effect between social media use and job performance is positive and significant.

The study provides practical suggestions for university administration regarding the use of social media for teaching faculty.

No research has been done regarding social media use affecting the job performance of teaching faculty through serial mediation in public universities. In this respect, this study represents an original attempt to conduct such research.

Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.

This study aims to develop a framework that demonstrates the role of social capital in alleviating knowledge hiding behaviour in organisations while also considering the moderating roles of perceived organisational politics and the perceived value of knowledge in this process.

The authors conducted a systematic literature review of research papers on the topic of knowledge hiding to develop a framework for mitigating knowledge hiding.

This paper conceptualises social capital into three interrelated dimensions (e.g. structural, cognitive and relational). Based on the findings of the review, all the three social capital dimensions can potentially mitigate an individual’s propensity towards knowledge hiding. Additionally, the paper integrates two potential moderators: perceived organisational politics and perceived value of knowledge, which could undermine the outcomes of social capital in mitigating knowledge hiding.

Although the proposed framework may provide preliminary insights to practitioners and scholars, one of its key limitations is that it is conceptual. Future empirical research is needed to validate the proposed framework.

Existing research has focused on studying the antecedents and consequences of knowledge hiding. However, scant scholarly work explores how such behaviour can be mitigated. This paper addresses this gap and contributes to understanding how organisations can alleviate the prevalence of knowledge hiding by developing their social capital and by focusing on contextual factors.

This study aims to understand holistic consumer perceptions of quality and their effect on re-purchase intentions by measuring the latent characteristics of online Amazon reviews.

Data was collected from entries in the Amazon customer review data set, which explicitly mentions quality, economic evaluation and future purchase intention. The analyses included natural language processing, structural topic modeling and econometric analysis. The study used real-time customer reviews to determine the overall perceived quality, the impact of perceived quality on re-purchase intention and the mediating roles of price consciousness and customer satisfaction.

Consumers’ perception of overall quality includes product- and service-related dimensions. Perceived quality influences re-purchase intentions through the mediating role of customer satisfaction. While price consciousness impacts the link between perceived quality and customer satisfaction, it does not affect re-purchase intention.

The managerial implications emphasize multiple dimensions of quality in the online environment and the role of customer satisfaction in consumers’ online re-purchase intentions. The results also illustrate that price effects are insignificant in influencing re-purchase intentions. Thus, while price cuts may encourage initial purchases, quality and customer satisfaction are vital to stimulate re-purchase.

The e-commerce literature lacks a comprehensive and rigorous understanding of the components of consumers’ perceived quality. This research develops a thorough understanding of what impacts overall e-commerce quality based on real-time customer reviews, avoiding the biases arising from traditional methods, including surveys.