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The purpose of this study is to investigate the drivers behind the notable increase in red meat prices in Turkey, attributing the rise primarily to policy interventions within the dairy industry which result in a reduction of farm capacity for dairy farmers.

To analyze the factors that determine the price of carcass red meat, cattle fattening feed is identified as a variable that directly affects carcass pricing, while the ratio of farm gate milk prices to milk feed prices is assumed to have an indirect impact. Monthly data from January 2011 to December 2022 are used in the analysis. The time series examined is influenced by time-dependent nonlinear Fourier trends that are computed for use in the estimation part.

The study reveals that fluctuations in cattle fattening feed prices have an immediate impact on carcass prices, while changes in the ratio of raw milk prices to milk feed prices exhibit a time lag. Although short-term interventions to the farm gate milk prices can initially suppress carcass prices, it is important to consider their medium and long-term effects, as these can manifest as a decrease in the number of animals available.

The research sheds light on the intricate interplay between policy interventions in the dairy sector and their ripple effects on the broader red meat market, contributing valuable insights to both academic and policy discourse.

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

Examines the seventeenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.