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Innovation is a process that enables organizations to sustain and prosper in a competitive business environment. This study aims to understand the key drivers of innovation within organizations from the lens of employees.

This study uses a grounded theory approach based on semi-structured in-depth interviews of 20 professionals working in information technology (IT) firms. Judgmental sampling was adopted to select the respondents. Open coding, inductive analysis was conducted on the interview transcripts to generate relevant themes.

Emerging themes indicate that innovation within organizations can be triggered as a response to client requirements or the employees’ inherent urge to innovate. Certain factors such as user engagement, formal organizational processes and practices, informal collaborative practices, the role played by experts and leaders and upskilling were seen to enable innovative outcomes within organizations.

Findings from this study will allow leaders to activate the identified drivers by designing suitable organizational processes and strategies to nurture a successful innovation culture within their teams.

This grounded theory-based study looks at drivers of innovation within IT organizations from the perspective of employees.

As of 2020, London's Financial Times had ranked Fundação Dom Cabral (FDC) as one of the world's leading executive education institutions and the top such institution in Latin America for 15 consecutive years. In 2011, FDC was also ranked fifth on the Financial Times' list of the 40 most respected business schools in the world. For FDC itself and for its co-founder, Emerson de Almeida, this recognition was a wonderful way of celebrating the 35th anniversary of an institution that has become a leader in applied management education in Brazil.

How did this young Brazilian institution achieve this? As is the case for any great undertaking, many people played crucial roles in its creation and consolidation. However, its history is closely tied to the life of its co-founder, Emerson de Almeida.

Emerson was FDC's Chief Executive from its foundation in 1976 until 2012, when he became President of its Board of Governance. ¹ He is primarily an innovator and drew his inspiration from visits to world-renowned business schools. Once he understood the needs arising from executive thinking processes, he was able to adapt these schools' best practices to suit the Brazilian culture and context.

‘You must always try the impossible’, he says. This case study presents the story of an exceptional institutional intrapreneur who championed and led the transformation of executive education in Brazil.

Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health coverage tailored to needs and capacity. Therefore, this study aims to explore the adoption of a cognitive computing decision support system (CCDSS) in the assessment of health-care policymaking and validates it by extending the unified theory of acceptance and use of technology model.

A survey was conducted to collect data from different stakeholders, referred to as the 4Ps, namely, patients, providers, payors and policymakers. Structural equation modelling and one-way ANOVA were used to analyse the data.

The result reveals that the behavioural insight of policymakers towards the assessment of health-care policymaking is based on automatic and reflective systems. Investments in CCDSS for policymaking assessment have the potential to produce rational outcomes. CCDSS, built with quality procedures, can validate whether breastfeeding-supporting policies are mother-friendly.

Health-care policies are used by lawmakers to safeguard and improve public health, but it has always been a challenge. With the adoption of CCDSS, the overall goal of health-care policymaking can achieve better quality standards and improve the design of policymaking.

This study drew attention to how CCDSS as a technology enabler can drive health-care policymaking assessment for each stage and how the technology enabler can help the 4Ps of health-care gain insight into the benefits and potential value of CCDSS by demonstrating the breastfeeding supporting policy.

This study aims to examine the effects of front-of-package (FoP) labels on the healthy evaluation of Peruvian consumers. This relationship was examined in cases where snacks were healthy and unhealthy. In addition, the study included the role of three consumer purchase objectives (i.e. hedonic, healthy and weight loss) and two types of consumers (high and low use of labelling) in the healthy evaluation.

The sample consisted of 628 Peruvian youngsters aged between 16 and 24 years who frequently consume processed food. The research panel “QueOpinas” oversaw the recruitment of the participants through social media and television. Four types of FoP labels were studied in depth: Nutritional Warnings, Monochrome Guideline Daily Amount (GDA), Polychrome Guideline Daily Amount (GDA-Semaphore) and Traffic Light Labelling. A paired sample t-test and MANOVA were performed to evaluate the research objectives.

The GDA FoP label was found to be insufficient to promote a healthy evaluation. In contrast, the Nutritional Warnings and GDA-Semaphore and Traffic Light FoP labels had a significant and positive effect on the healthy evaluation of the snacks at a 95% confidence level. However, a comparative analysis of the labels revealed that some can be more efficient than others in promoting healthy purchase decisions. For the nutritional warnings (NWs) and traffic light FoP labels, the results revealed that consumers better distinguish unhealthy and healthy cereal bars when these products display traffic light labels.

This research topic has not been investigated in Peru and relevant research in this region is still incipient. In addition, the findings are important for policymakers as the findings will be able to implement specific labelling systems that will help consumers make healthier choices and support the debate about the effectiveness of the main FoP systems.

Literature on packaged food consumption and associated factors in Kerala is limited. This study aims to find out consumption pattern of packaged food and the factors associated with it among young adults in Kerala.

The authors conducted a cross-sectional survey among 384 young adults aged 18–30 years selected using multistage cluster sampling. Information on packaged food consumption and sociodemographic factors was collected using a structured, pre-tested interview schedule. Binary logistic regression analysis was done to find out the factors associated with packaged food consumption.

Among the participants, 85.7% (95% CI = 81.9%–88.9%) reported consuming packaged food at least once a week, and 45% (95% CI = 40.4%–50.3%) reported consuming packaged food more than two times a week. Individuals who were employed [adjusted odds ratio (AOR) = 1.71, 95% CI = 1.06–2.76], who consume packaged food without a fixed routine (AOR = 2.24, 95% CI = 1.18–4.28), those without previous attempts to reduce packaged food consumption (AOR = 3.45, 95% CI = 1.72–6.91) and those who preferred packaged food for their taste and flavor (AOR = 1.73, 95% CI = 1.09–2.74) had greater odds of consuming packaged food more than two times a week compared to their counterparts.

Packaged food is frequently consumed by more than 40% of young adults in Kerala. Efforts focused on individuals (such as building awareness and taxing packaged foods) are warranted to control packaged food consumption among young adults.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

This purpose of this study is to provide an overview of the current state of research on Lean Six Sigma (LSS) and Industry 4.0 and the key aspects of the relationships between them. The research analyses LSS's evolution and discusses the future role of LSS 4.0 in an increasingly digitalized world. We present the benefits and motivations of integrating LSS and Industry 4.0 as well as the critical success factors and challenges within this emerging area of research.

A systematic literature review methodology was established to identify, select and evaluate published research.

There is a synergistic nature between LSS and Industry 4.0. Companies having a strong LSS culture can ease the transition to Industry 4.0 while Industry 4.0 technologies can provide superior performance for companies who are using LSS methodology.

One limitation of this research was that as this area is a nascent area, the researchers were limited in their literature review and research. A more comprehensive longitudinal study would yield more data. There is an opportunity for further study and analysis.

This study reviews the evolution of LSS and its integration with Industry 4.0. Organisations can use this study to understand the benefits and motivating factors for integrating LSS and Industry 4.0, the Critical Success Factors and challenges to such integration.

This is the first systematic literature review on LSS 4.0 and can provide insight for practitioners, organisations and future research directions.