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The development of information technologies has led to a considerable transformation in human resource management from conventional or commonly known as personnel management to modern one. Data mining technology, which has been widely used in several applications, including those that function on the web, includes clustering algorithms as a key component. Web intelligence is a recent academic field that calls for sophisticated analytics and machine learning techniques to facilitate information discovery, particularly on the web. Human resource data gathered from the web are typically enormous, highly complex, dynamic, and unstructured. Traditional clustering methods need to be upgraded because they are ineffective. Standard clustering algorithms are enhanced and expanded with optimization capabilities to address this difficulty by swarm intelligence, a subset of nature-inspired computing. We collect the initial raw human resource data and preprocess the data wherein data cleaning, data normalization, and data integration takes place. The proposed K-C-means-data driven cuckoo bat optimization algorithm (KCM-DCBOA) is used for clustering of the human resource data. The feature extraction is done using principal component analysis (PCA) and the classification of human resource data is done using support vector machine (SVM). Other approaches from the literature were contrasted with the suggested approach. According to the experimental findings, the suggested technique has extremely promising features in terms of the quality of clustering and execution time.

Exploring subjective experiences of people living with dementia through qualitative research has become increasingly common in recent decades. Nonetheless, researchers have shared a number of ethical challenges in involving people living with dementia in research. A concept that has been influential in discussions about ethics within the field of dementia care, in particular, is person-centredness. A person-centred approach reflects values of respect for personhood and the rights of a person and of building mutual trust and understanding. This chapter presents my experience of adopting person-centred ethical practices in a sensory ethnographic study involving older adults living with dementia. I highlight person-centred ethical considerations at the design stage of my study and occasions during the conduct of my research when research methods and processes were adapted to further meet the needs of the participants. A person-centred approach required that I continually assessed the need to make ethical decisions in every aspect of the research process throughout its duration. Building and drawing on positive researcher–participant relationships to inform those decisions and an adaptable research design allowing research practices to be adapted in situ were therefore essential.

Current research about American Indians of all ages is in short supply, yet design and allocation of public services and resources are increasingly guided by ‘evidence’ provided by research. The health and wellness of this population is persistently poorer than that of other marginalized populations. American Indian tribes have been beset progressively since the earliest arrival of European settlers by both malevolent and well-intentioned assaults on their cultures and peoples. This long history of cultural and physical genocide continues into the present and undermines the effectiveness of Eurocentric processes for research that have been shaped by values and beliefs antithetical to those of most tribes (e.g. individualism, proprietary ownership, science as the way of knowing). Individual and collective historical trauma is present in all of the more than 500 federally recognized tribes in the United States of America, and a lack of trust further compromises the validity and positive impact of most research. This chapter describes the roots and foundations of flawed and successful research and identifies practical resources and approaches that are valid and beneficial for conducting research with indigenous people. The processes described in this chapter are grounded in the experiences of tribes in the United States of America; however, parallel experiences of indigenous populations that have a continuing legacy of trauma are found in many other countries (such as in Brazil and New Zealand) and the insights and approaches found in this chapter may be applicable to some degree.

The author employed a five-step approach: Data (e.g., qualitative primary and secondary data) collection (about a major project at the examined organisation), Critical thinking (in order to determine the dilemma), Setting learning objectives (e.g., with respect to the Bloom's taxonomy), Testing (in order to confirm the teaching plan) (e.g., with research assistants and doctoral candidates), and Ensuring clarity (e.g., especially for the case narrative).

The site manager at a UNESCO World Heritage Site by the name Ephesus in Türkiye (Turkey) was considering who would update the site management plan. UNESCO was regularly asking for updates. Would site management outsource the management plan from a firm? For example, the site management had had an outside firm develop the management plan and Ephesus had become a UNESCO World Heritage Site. Otherwise, would the site management rely on their own experience this time? Was there another way?

The educators could use the case study to introduce graduate students to “the value conception” in “marketing management” courses and to “the social exchange school of thought” in “marketing theory” courses. The learning objectives develop over the tension between owning and outsourcing main responsibilities of a scientific field as well as the tension between claims and objective evaluations. “The value conception” in “the social exchange school of thought” could improve planning in favour of humanity in a way that the United Nations could recognise (e.g., “value-based planning”). Corresponding discussions motivate a main question about the future: What is marketing for?

This study aims to investigate the influence of specific socioeconomic factors, namely neighborhood, gender roles and affordability, on the continuous use of clean cooking technologies (CCTs) in households, using evidence from Uganda.

This study adopted an explanatory quantitative design. A questionnaire survey with 379 clean household responses was conducted. The data were analyzed using the Smart Partial Least Squares (PLS) software.

The results indicate that the sustained use of clean cooking technologies in households in Uganda is significantly associated with neighborhood influence, shared gender roles and affordability, collectively accounting for 27.7% of the variance.

The three dimensions of socioeconomic factors under study partially explain the sustained use of CCTs in Uganda. The study does not delve into other socioeconomic factors that could probably account for 72.2% of the variance not explained. The quantitative design may have overlooked the social reality perspectives inherent in qualitative studies that other researchers may endeavor to exploit.

The authors integrated three dimensions of socioeconomic factors – neighborhood influence, gender roles and affordability – with the diffusion of innovation theory (DIT) using Smart PLS to explain the continuous use of CCTs within households.