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This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (ST_off), Spark-on Time (ST_on), Wire-speed (S_w), Wire-Tension (WT) and Servo-Voltage (S_v) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).

Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.

The hybrid optimization result is obtained as ST_off = 50µs, ST_on = 105µs, S_w = 7 m/min, WT = 12N and S_v=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.

The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

This study aims to focus on the five most relevant and discursive emerging technologies in accounting (cloud computing, big data and data analytics, blockchain, artificial intelligence (AI) and robotics process automation [RPA]). It investigates the adoption and use of these technologies based on data collected from accounting professionals in a technology-developed country – Canada, through a survey.

The study investigates the adoption and use of emerging technologies based on data collected from accounting professionals in a technology-developed country – Canada, through a survey. This study considers the said nature and characteristics of emerging technologies and proposes a model using the factors that have been found to be significant and most commonly investigated by existing prior technology-organization-environment (TOE)-related technology adoption studies. This survey applies the TOE framework and examines the influence of significant and most commonly known factors on Canadian firms’ intention to adopt the said emerging technologies.

Study results indicate that Canadian accounting professionals’ self-assessed knowledge (about these emerging technologies) is more theoretical than operational. Cloud computing is highly used by Canadian firms, while the use of other technologies, particularly blockchain and RPA, is reportedly low. However, firms’ intention about the future adoption of these technologies seems positive. Study results reveal that only the relative advantage and top management commitment are found to be significant considerations influencing the adoption intention.

Study findings confirm some results presented in earlier studies but provide additional insights from a new perspective, that of accounting professionals in Canada. The first limitation relates to the respondents. Although accounting professionals provided valuable insights, their responses are personal views and do not necessarily represent the views of other professionals within the same firm or the official position of their accounting departments or firms. Therefore, the exclusion of diverse viewpoints from the same firm might have negatively impacted the results of this study. Second, this study sample is limited to Canada-based firms, which means that the study reflects only the situation in that country. Third, considering the research method and the limit on the number of questions the authors could ask, respondents were only asked to rate the impact of these five technologies on the accounting field and to clarify which technologies are used.

This study’s findings confirm that the organizational intention to adopt new technology is not primarily based on the characteristics of the technology. In the case of emerging technology adoption, the decision also depends upon other factors related to the internal organization. Furthermore, although this study found no support for the effect of environmental factors, it fills a gap in the literature by including the factor of vendor support, which has received little attention in prior information technology (IT)/ information system (IS) adoption research. Moreover, in contrast to most prior adoption studies, this study elaborates on accounting professionals’ experience and perceptions in investigating the organizational adoption and use of emerging technologies. Thus, the findings of this study are valuable, providing insights from a new perspective, that of professional accountants.

The study findings may serve as a guide for researchers, practitioners, firms and other stakeholders, particularly technology providers, interested in learning about emerging technologies’ adoption and use in Canada and/or in a relevant context. Contrary to most prior adoption studies, this study elaborates on accounting professionals’ experience and perceptions in investigating the organizational adoption and use of emerging technologies. Thus, the findings of this study are valuable, providing insights from a new perspective, that of professional accountants.

The study provides insights into the said technologies’ actual adoption and improves the awareness of firms and stakeholders to the effect of some constructs that influence the adoption of these emerging technologies in accounting.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

This paper aims to identify the role of coproduction and value-in-use in the overall hotel experience value, and its effects on cognitive-affective satisfaction and loyalty. The country chosen is Spain, in the context of the “new normal,” where the increase in tourist flow after the COVID-19 pandemic has been very relevant, setting up the chance to better assess and discuss value creation in a post-pandemic era.

The causal model is validated with partial least squares (PLS) in a panel of 405 hotel guests (applying sampling quotas by sex, age and region).

The chain of effects is verified with stronger links at the end and with a greater weight of value-in-use compared to coproduction. Hotels’ efforts to adapt to the pandemic situation work better if a customized, unique experience is offered and if intensive communication is with and not just to the guest. The role of experience value is key for the cocreation to produce results for satisfaction and loyalty.

This study contributes to the value creation literature by highlighting the respective roles of coproduction and value-in-use as drivers of the satisfaction−loyalty chain, and by introducing the guest’s overall hotel experience value into this chain. This is viewed against the backdrop of the contextual changes that have occurred since 2020 in the Spanish hotel industry. The post-pandemic context “forces” the client to actively participate. Analysis of the implications of this kind of new cocreation on the overall customer experience is relevant for both tourism scholars and managers.

Digital transformation in nursing education is crucial for enhancing pedagogical practices and preparing future healthcare professionals for the rapidly evolving healthcare landscape. This chapter explores how the integration of digital technologies in higher education has revolutionising teaching methodologies and offered new opportunities to enhance learning experiences. It identifies gaps in digital learning modalities for undergraduate and postgraduate nursing students and discusses strategies to strengthen online literacy preparation and transition into the healthcare sector's digital transformation landscape and the 4th industrial era economy. The chapter examines best practices and challenges in digital transformation in nursing education such as blended learning environments, simulation and virtual reality, mobile learning applications and gamification strategies. Additionally, it addresses challenges in curriculum development including insufficient technological infrastructure, faculty training and development, assessment strategies and resistance to change among faculty and students. This chapter aims to provide insights and recommendations for educators, curriculum developers and policymakers in implementing successful digital transformation in nursing education.

Body weight has a long history of functioning as a symbol of one’s beauty, social status, morality, discipline, and health. It has also been a standard inflicted much more intensely on women than men. While US culture has long idealized thinness for women, even at risky extremes, there is growing evidence that weight standards are broadening. Larger bodies are becoming more visible and accepted, while desire for and approval of a thin ideal has diminished. However, the continued widespread prevalence of anti-fat attitudes and stigma leaves uncertainty about just how much weight standards are changing. This study used an online survey (n = 320) to directly compare evaluations of thin, fat, and average size women through measures of negative stereotypes, prejudicial attitudes, and perceptions about quality of life. Results indicated that, as hypothesized, thin women were perceived less favorably than average weight women. However, fat women were perceived less favorably than both average and thin women. Men were harsher than women in their evaluations of only fat women. Additionally, participants being underweight or overweight did not produce an ingroup bias in their evaluations of underweight and overweight targets, respectively. That is, participants did not rate their own group more favorably, with the exception of overweight participants having lower prejudice toward overweight targets. These findings add to the emerging evidence that women’s weight standards are in transition, marked by an increasingly negative perception of thin women, though not necessarily growing positivity toward fat women. This evidence further points toward the need for more extensive research on attitudes of people across the entire weight spectrum.

This study aims to establish a comprehensive framework for adopting mobile-based artificial intelligence (AI) services in Tanzanian manufacturing small and medium enterprises (SMEs).

The methodology involved conducting a literature review and using the combination of Mobile Services Acceptance Model and Innovation Diffusion Theory (IDT) as a theoretical foundation. This synthesis delves into the current knowledge on technology adoption, organizational behavior and innovation diffusion, creating a solid conceptual basis. Expert review was used for framework validation to ensure the framework's accuracy.

This study shows that the factors influencing the adoption of mobile-based AI services in Tanzanian manufacturing SMEs include perceived usefulness, perceived ease of use, context, personal initiatives and characteristics, trust, infrastructure, cost, mobility, power distance, compatibility, observability and trialability.

The framework provides valuable insights tailored to Tanzanian sociocultural and economic nuances. However, its generalizability is limited due to its specificity to Tanzanian manufacturing SMEs.

The framework outlined in this research provides SME leaders, policymakers and technology implementers with valuable guidance to make informed decisions during the adoption process.

This study introduces a novel lens for understanding technology adoption. This study's focus on the Tanzanian context and its nuanced examination of contributing factors add to its originality and practical significance.

Global business practices show that during periods of demand volatility, manufacturing firms often engage in asymmetric cost management (ACM), a behavior in which costs increase faster than they decrease when demand decreases by the same amount. However, whether managing asymmetric costs will enhance or impede firm resilience remains an open question. We aim to investigate the impact of ACM on firm resilience and its boundary conditions.

Using unbalanced panel data of 2,273 Chinese manufacturing listed companies from 2002 to 2021, we conduct an empirical analysis using a double fixed effects model.

Our findings reveal that ACM has a negative effect on firm resilience. This suggests that in coping with external environmental fluctuations, ACM fails to fulfill its expected role effectively. Instead, it manifests as a severe agency problem affecting firm resilience. Further, we find that managerial myopia and digitalization diminish the negative effect, while customer instability exacerbates it.

This study contributes to the literature on the organizational resilience of manufacturing firms by providing an in-depth understanding of cost management and emphasizing the need to consider agency issues carefully when managing asymmetric costs.

This study aims to use 67 developing countries to examine the role of financial inclusion as an “empowering tool” for renewable energy uptake and to improve environmental sustainability in developing countries.

Using a battery of econometric models, including the generalized method of moment-panel vector autoregression (GMM-PVAR), impulse response function, Granger causality, fully modified ordinary least squares and dynamic ordinary least squares, the study proposed and tested three hypotheses.

The results from various estimations indicate that financial inclusion has a positive effect on renewable energy consumption and environmental sustainability improvement in developing countries. The findings suggest that financial inclusion can improve environmental sustainability by increasing access to financing to fund renewable energy projects, support sustainable businesses and promote sustainable practices.

This study suggests that policymakers prioritize financial inclusion to promote renewable energy consumption and environmental sustainability. Policies should enhance access to financial services, offer financial incentives and subsidies, provide affordable loans through microfinance institutions and fintech companies and promote sustainable businesses and green technologies.