Olivia McDermott, Cian Moloney, John Noonan and Angelo Rosa
The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy…
Abstract
Purpose
The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy processors to ascertain the current state of the literature and aid future research direction.
Design/methodology/approach
Utilising a systematic literature review (SLR), the paper addresses various terms and different written forms in the literature. The study characterises the current deployment of GLSS in the food industry and explains the reported benefits of this approach.
Findings
GLSS, a concept that has yet to be fully explored in the food industry, as in other sectors, holds significant potential to enhance the food industry’s sustainability practices. The dairy sector, a subsector of the food industry known for its high greenhouse gas emissions, is a prime candidate for the application of GLSS. In instances where it has been applied, GLSS has demonstrated its effectiveness in improving sustainability, reducing waste, lowering greenhouse gas emissions and minimising water usage. However, the specific tools used and the model for GLSS implementation are areas that require further study, as they have the potential to revolutionise food industry operations and reduce their environmental impacts.
Practical implications
Benchmarking of this research by the food industry sector and by academics can aid understanding of the practical application of GLSS tools and aid implementation of these practices to evolve the dairy processing sector in the next decade as sustainability champions in the sector.
Originality/value
This study extensively analyses GLSS in the food industry, with a particular focus on dairy processors.
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It is observed that bank transactions are at the top of the list as consumers' online transactions increase day by day. We assume that creating an emotion-rich experience will be…
Abstract
Purpose
It is observed that bank transactions are at the top of the list as consumers' online transactions increase day by day. We assume that creating an emotion-rich experience will be more effective in ensuring brand awareness, brand associations, perceived quality and brand loyalty, which affect the creation of consumer-based brand value. In this study, it is aimed to determine the relationship of the emotional brand experiences of internet banking users in the brands they use on creating consumer-based brand equity.
Design/methodology/approach
The data in the answers of 484 participants among the 504 people who filled out the questionnaire on social media with the snowball sampling method and were determined to have consistent answers and stating that they used internet banking, were analyzed by SPSS and Structural Equation Modeling (SEM).
Findings
The emotional experiences of internet banking users in Turkey with the internet brand they use have a relationship on all four dimensions (brand awareness, brand loyalty, brand associations and perceived quality) that make up consumer-based brand equity. In this study, the relationship was determined as brand awareness, brand loyalty, perceived quality and brand associations, respectively. The dimensions of the relationship of internet banking users emotional brand experience and consumer-based brand equity were supported.
Research limitations/implications
The research was carried out with internet banking users in Turkey. The results of this research can be compared with studies to be conducted in different countries and with different product brands. In addition, the level of contribution can be increased by investigating the emotional brand experience by comparing positive and negative emotions.
Practical implications
As online connection allowing instant access to unrecognized places and being able to reach brands from long distances instantly makes the emotional experience that can create emotional attachment between the brand and the customer, and brand awareness, brand loyalty, brand association and perceived quality, which are the dimensions of consumer-based brand equity affected by emotional experience, much more important. This importance is increasing day by day as the positive emotional experience to be created in banking services is directly related to access to money. Banking transactions are generally considered as cognitive transactions, and decisions are made and implemented within a cognitive context. However, the findings of this research suggest that decisions should be made and implemented that will enable consumers to gain experiences that can affect their emotions as well as their cognition.
Originality/value
Considering the importance of strategies and tactics that prioritize the creation of consumer-based brand equity in marketing theory, the importance of adding emotional brand experience to these strategies and tactics is supported by the results of this research as originality value. Although the effect of brand experience on consumer-based brand value has been widely researched in the literature, the fact that the effect of brand experience, especially emotional brand experience, on consumer-based brand experience in internet banking transactions has not been sufficiently researched and that this effect has been investigated specifically for Turkey, unlike the literature, increases the original contribution of the research.
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Raimunda Bukartaite and Daire Hooper
This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI…
Abstract
Purpose
This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI) and technology. The study also seeks to understand what human resource policies and educational interventions are needed to support and take advantage of these changes.
Design/methodology/approach
This is a qualitative study where a sample of highly experienced representatives from a range of small to large Irish organisations, both public and private, provide insights into this important topic.
Findings
Findings indicate participants see a continued need for soft and hard skills as we evolve towards a more technologised workplace, with a need for employees to adopt a lifelong learning philosophy. As the knowledge economy in Ireland is well established, experts do not expect mass displacement to occur but differ with respect to the predicted rate of change. Novel HR interventions such as hiring for potential, pooling talent and establishing postgraduate supply contracts are seen as key. Current state interventions were mostly viewed positively but revamping of curricula is needed as well as stronger partnerships with tertiary institutions.
Research limitations/implications
The interpretivist nature of the study limits the generalisability of the findings as they are based on a relatively small sample from one country. Also despite the significant expertise of the sample, it is not possible to predict whether their forecasts will manifest.
Practical implications
This research highlights the need for Irish SMEs to embrace the impacts of automation and AI as many are seen to be slow in reacting to changes in technology. The study also reveals cutting edge talent management interventions for employers to adopt that will insulate them from the challenges technological change presents to recruitment and employee development.
Originality/value
The findings from this paper culminate in the development of a conceptual framework, which encapsulates the responsibilities of all parties so that future skills needs will be met. This highlights the interplay between employers, individuals/employees, the Irish Government and educational institutions, demonstrating how they are interdependent on one another as we move towards a more technologised future.
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Teerapong Teangsompong, Pichaporn Yamapewan and Weerachon Sawangproh
This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a…
Abstract
Purpose
This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.
Design/methodology/approach
Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.
Findings
The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.
Social implications
The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.
Originality/value
This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.
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Leila Ismail and Huned Materwala
Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine…
Abstract
Purpose
Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine learning can save lives is diabetes prediction. Diabetes is a chronic disease and one of the 10 causes of death worldwide. It is expected that the total number of diabetes will be 700 million in 2045; a 51.18% increase compared to 2019. These are alarming figures, and therefore, it becomes an emergency to provide an accurate diabetes prediction.
Design/methodology/approach
Health professionals and stakeholders are striving for classification models to support prognosis of diabetes and formulate strategies for prevention. The authors conduct literature review of machine models and propose an intelligent framework for diabetes prediction.
Findings
The authors provide critical analysis of machine learning models, propose and evaluate an intelligent machine learning-based architecture for diabetes prediction. The authors implement and evaluate the decision tree (DT)-based random forest (RF) and support vector machine (SVM) learning models for diabetes prediction as the mostly used approaches in the literature using our framework.
Originality/value
This paper provides novel intelligent diabetes mellitus prediction framework (IDMPF) using machine learning. The framework is the result of a critical examination of prediction models in the literature and their application to diabetes. The authors identify the training methodologies, models evaluation strategies, the challenges in diabetes prediction and propose solutions within the framework. The research results can be used by health professionals, stakeholders, students and researchers working in the diabetes prediction area.