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The study consists of a literature study and a case study. The need for a method via which to handle instruction complexity was identified in both studies. The proposed method was developed based on methods from the literature and experience from the case company.

The purpose of the study presented in this paper is to investigate how linking different maintenance domains in a modular maintenance instruction architecture can help reduce the complexity of maintenance instructions.

The proposed method combines knowledge from the operational and physical domains to reduce the number of instruction task variants. In a case study, the number of instruction task modules was reduced from 224 to 20, covering 83% of the maintenance performed on emergency shutdown valves.

The study showed that the other methods proposed within the body of maintenance literature mainly focus on the development of modular instructions, without the reduction of complexity and non-value-adding variation observed in the product architecture literature.

This study examines the relationship between HR practices and millennial employee retention in the tourism industry in Bangladesh. It investigates the moderating role of the work environment in the relationship between HR practices and employee retention in the industry.

The researchers used non-probability judgemental sampling to collect 384 questionnaires through a survey of millennial employees. Partial least square-based structural equation model (PLS-SEM) was used to analyse the data.

The results reveal that HR practices included in this paper have significant relationships with millennial employee retention in the tourism industry in Bangladesh, except employee participation in decision-making. In addition, the results show that the work environment only moderates the relationship between two HR practices (compensation, training and development) and millennial employee retention.

The results suggest that managers in tourism organisations must develop HR practices and foster a positive work environment to retain millennials.

This is the only study that examines the moderating role of the work environment on the relationship between five selected HR practices (training and development, job security, performance appraisal, employee participation, compensation) and millennial employee retention. Previous studies used fewer HR variables.

The organised self-help approach successfully enhances urban low-income earners' (LIE) homeownership in some developing countries. The technique can enhance urban resilience for sustainable LIE homeownership. There is a paucity of studies concerning sustainable homeownership for Nigeria's urban LIE through a self-help approach. The study investigated the housing needs of the urban LIE via organised self-help mechanisms and how the same can enhance urban resilience for sustainable homeownership in the Ancient City of Benin, Nigeria.

Given the unexplored nature of the issue, 20 face-to-face interviews were conducted with experts and analysed through a thematic approach.

Findings identified eleven main barriers faced by the urban LIE. This includes the absence of government housing policy, funding frameworks, urban land scarcity, high property development costs, naira devaluation, high-interest rates, inflation, bribery and corruption, lax mortgage sub-sector, high cost of infrastructure, and government bureaucracy.

This study will contribute to pioneering the role of organised self-help mechanisms in urban resilience for sustainable LIE homeownership in developing cities via a qualitative approach. Also, findings would significantly contribute to developing countries' sustainable housing and urban resilience literature.

This paper aims to present the design of a particular non-reactive test rig for combustion swirlers and first stage turbine nozzles. The test rig is required for important experimental activities aimed at the optimization of a specific class of gas turbines.

A multi-disciplinary team performed the design process by following a tailored design approach, which has been developed for the specific case. The design outcomes allowed to build a fully functional test rig to be introduced in a test cell and then to perform preliminary experiments about the fluid dynamic behaviour of the turbine elements.

The followed design approach allowed to efficiently perform the task, by supporting the information exchange among the different subjects involved in both the conceptual and the embodiment design of the test rig. Additionally, the performed experiments allowed to achieve a final configuration that makes the test rig a valuable test case for combustor-turbine interaction studies.

The study described in this paper is focused on the design of a specific test rig, used for first validation tests. However, the achieved results (both in terms of design and test) constitutes the underpinning of the in-depth investigations to be performed in the next steps of the experimental campaign.

To the best of the authors’ knowledge, the present paper is the first one that comprehensively describes the design activity of an experimental test rig for turbine application, also providing indications about the specific methodological procedure used to manage the process.

Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.

This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.

The results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.

The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

This paper aims to examine the concept of standardization beyond its traditional use in generating and implementing standards and good practice guidelines (S&GPG) by looking at existing and emerging trends.

This paper utilizes two primary approaches to categorizing S&GPG for better comprehension: categorization based on provenance as well as based on subject matter.

A significant concern related to categorizing S&GPG based on provenance or subject is the constant proliferation of standards being developed and introduced every year. This rapid growth in standards requires frequent re-categorization to keep up with the dynamic nature of this field. To tackle this problem, this paper explores emerging concepts such as ontological representation and frameworks that offer archives and records management (ARM) professionals.

Standardization refers to establishing uniform rules through mutual agreement to ensure consistency. The study of standardization goes beyond the development of individual S&GPG, encompassing their practical application in work settings. Categorizing standards alone may not fully capture their actual use. However, abstraction mechanisms like ontological representations, models and frameworks can demonstrate how these standards have been leveraged. This paper provides illustrative examples rather than an exhaustive list to showcase how these mechanisms have been applied in research projects or as practical tools.

This paper explores the emerging topic of standardization from the perspective of ontological representations and models or frameworks. In addition, it also contributes to the discussion of the 2022 version of ARMA International’s Information Governance Implementation Model and the 2020 version of the World Bank Group's Records Management Roadmap, providing unique insights into these topics.

This paper provides a managerial overview of social marketing in India to improve the understanding about its nature and utility in addressing the needs of India's social sector.

The study employs a qualitative research methodology by conducting an extensive review of relevant theories, concepts and past studies related to social marketing, focusing on the Indian context. Select case studies have also been studied and presented to elucidate how social marketing programs are conducted by various forms of organisations in India.

First, the meaning of social marketing, its distinction from commercial marketing and some pertinent challenges faced by social marketers are discussed. Thereafter, a brief overview of the role of competition, cost and barriers towards conducting an effective social marketing program is provided. Lastly, we propose a scheme of organisations sponsoring social marketing in India and discuss the future perspectives.

The study enables a deeper understanding of social marketing discipline for policy makers, social marketing professionals and organisations sponsoring social marketing initiatives in India.

The paper contributes to the literature on social marketing in the Indian context by conducting a broad overview with the aim of improving the understanding of social marketing which may help realise its full potential in the future.

Given the lack of understanding of social marketing success in theory and practice, this study aims to investigate how social marketing experts conceptualize success.

In this qualitative study, the authors conducted an open-ended online questionnaire with 48 worldwide social marketing experts, most with more than 20 years of experience in the field. The authors analyzed data using topic modeling, a machine-learning method that groups responses/terms into cluster topics based on similarities. Keywords in each topic served to generate themes for discussion.

While behavior change is mentioned as paramount to conceptualizing success, participants prefer to use more tangible and less complex forms to define/measure success, such as campaign recall uptick. In addition, lack of funding was considered an important factor in measuring success. This study provides a two-stage taxonomy to better understand success in social marketing.

To the best of the authors’ knowledge, this study is one of the first to conceptualize success in social marketing practice.

This study aims to discover clothing consumption shifts and explore the effect of consumer resilience in changing clothing consumption patterns or establishing new clothing consumption routines after experiencing disruptions caused by the Covid-19 pandemic.

A two-phase multi-method approach was employed. The first phase of qualitative inquiry was conducted to identify clothing consumption shifts using a content mining approach on a text data sample of 17,195 tweets posted from 1 January to 30 September 2020. The second phase of the quantitative study was conducted to explore consumer resilience's effect on clothing consumption shifts based on a collected national sample of 418 respondents through an online survey.

This study identified clothing consumption changes including value shifts, style shifts and spending shifts. It was also found that resilient consumers care about a company's ethical practices and value the quality instead of the number of items in their wardrobe. Consumers spend more time wearing comfortable clothing and are used to the working-from-home lifestyle.

This study explored approaches to making use of social media data for a better understanding of consumers' clothing behaviour. Also, this study attempted to explore and understand clothing consumption practices during and post the Covid-19 global pandemic, focusing on identifying shifts that might last longer for fashion businesses to explore growth opportunities.