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Article
Publication date: 29 April 2020

Md. Reaz, Dorothea Bowyer, Connie Vitale, Masnun Mahi and Ahmed Mohamed Dahir

The paper examines the nexus between agricultural exports and the performance of agricultural firms in Malaysia.

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Abstract

Purpose

The paper examines the nexus between agricultural exports and the performance of agricultural firms in Malaysia.

Design/methodology/approach

The dynamic linkage is tested by using system GMM models and the period ranges from 2002 to 2016.

Findings

The results indicate that agricultural exports affect performance positively. However, agricultural raw materials have no significant impact on performance.

Research limitations/implications

The agricultural exports in relation to sectoral performance needs to be considered in the future.

Practical implications

The findings are important for policymakers to formulate policies that promote the agricultural sector. To put it differently, the policies may encourage investments in this sector. Also, the findings have substantial academic implications, bridging the gap between theory and empirical literature in the agricultural sector.

Originality/value

This work highlights the agricultural exports and their impacts on a firm's performance.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 10 no. 5
Type: Research Article
ISSN: 2044-0839

Keywords

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Article
Publication date: 26 July 2021

Rina Datt, Pranil Prasad, Connie Vitale and Krishan Prasad

The market for the assurance of carbon emissions disclosures is showing intensive growth. However, due to the largely voluntary nature of carbon reporting and assurance, there are…

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Abstract

Purpose

The market for the assurance of carbon emissions disclosures is showing intensive growth. However, due to the largely voluntary nature of carbon reporting and assurance, there are currently no clear standards or guidelines and little is known about it. The purpose of this paper is to examine the reporting and assurance practices for carbon emissions disclosures.

Design/methodology/approach

This study provides evidence on this market, with a sample that includes 13,419 firm-year observations across 58 countries between 2010 and 2017 from the Carbon Disclosure Project (CDP) database.

Findings

The results show that the demand for carbon emissions reporting comes mainly from North America, the UK and Japan. Recently, markets such as South Africa have also shown increased demand for carbon reporting. The data also shows that more firms are seeking assurance for their carbon emissions reports. Legitimacy, stakeholder and institutional theories are used to explain the findings of this study.

Research limitations/implications

The results have important implications for firms that produce carbon emissions disclosures, assurance service providers, legislators, regulators and the users of the reports and there should be more specific disclosure guidelines for level and scope of reporting.

Originality/value

Amongst the firms that do provide assurance on their carbon emissions reports, a majority do so using specialist assurance providers, with only limited assurance being provided. The results further show that a myriad of assurance frameworks is being used to assure the carbon emissions disclosures.

Details

Meditari Accountancy Research, vol. 30 no. 6
Type: Research Article
ISSN: 2049-372X

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Article
Publication date: 5 February 2020

Hanyoung Go, Myunghwa Kang and SeungBeum Chris Suh

The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual…

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Abstract

Purpose

The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual framework to support future research on advanced robot applicability.

Design/methodology/approach

This research reviews current cases of AI use and technology acceptance model (TAM) studies and proposes a framework, interactive technology acceptance model (iTAM), to identify key determinants that stimulate consumer perceptions of advanced robot technology acceptance.

Findings

The main constructs and types of advanced robots were identified by reviewing TAM studies and AI robots that are currently used in the tourism and hospitality industry. This research found that as technologies tested in TAM studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, examining perceived interactivity of technology has become more important for advanced robot acceptance models. The examples of advanced robot uses indicate that each machine learning application changes the robots’ task performance and interaction with consumers. Conducting experimental studies and measuring the interactivity of advanced robots are vital for future research.

Originality/value

To the authors’ knowledge, this is the first study on how consumers accept AI robots with machine learning applications in the tourism and hospitality industry. The iTAM framework provides fundamental constructs for future studies of what influences consumer acceptance of AI robots as innovative technology, and iTAM can be applied to empirical experiments and research to generate long-term strategies and specific tips to implement and manage various advanced robots.

旅游和酒店业机器人的机器学习:交互式技术接受模型(iTAM)–前沿研究

目的

这项研究旨在讨论消费者如何在酒店和旅游业中接受先进的人工智能(AI)机器人, 并提供类型学和概念框架来支持有关先进机器人适用性的未来研究。

设计/方法/方法

这项研究回顾了AI使用和技术接受模型(TAM)研究的当前案例, 并提出了一个框架, 即交互式技术接受模型(iTAM), 以识别能够激发消费者对先进机器人技术接受程度的认知的关键因素。

结果

通过回顾当前在旅游和酒店业中使用的TAM研究和AI机器人, 本文确定了高级机器人的主要结构和类型。研究发现, 由于TAM中的技术已通过高度互动的系统, 增强的功能以及更友好的用户界面进行了改进, 因此, 对于先进的机器人接受模型而言, 检查感知技术交互性已变得越来越重要。先进的机器人使用案例表明, 每个机器学习应用程序都会改变机器人的任务性能以及与消费者的互动。进行实验研究和测量高级机器人的交互性对于将来的研究来说是至关重要的方向。

创意/价值

这是关于消费者如何在旅游和酒店业中接受具有机器学习应用程序的AI机器人的首次研究。iTAM框架为将来的研究提供了基础结构, 以了解哪些因素会影响消费者对AI机器人作为创新技术的接受程度。iTAM亦可以用于实证实验和研究, 以提供实施和管理各种先进机器人的长期策略和具体技巧。

关键词

iTAM,机器学习,人工智能机器人, 技术接受, 感知交互性, 人工智能机器人的类型

纸张类型概念纸

文章类型

概念性文章

El Machine Learning (Aprendizaje Automático) de robots en turismo y hotelería: Modelo de Aceptación de Tecnología Interactiva (iTAM): tecnología de punta

Objetivo

El objetivo de este estudio, es analizar la aceptación que tienen los robots avanzados de Inteligencia Artificial (IA) por parte de los consumidores de hoteles y turismo y proporcionar una tipología y un marco conceptual para apoyar la investigación futura sobre la aplicabilidad avanzada de estos robots.

Diseño/metodología/enfoque

Esta investigación, revisa los casos actuales de uso de IA y estudios del Modelo de Aceptación de Tecnología (TAM) y propone: el Modelo de Aceptación de Tecnología Interactiva (iTAM) para identificar los determinantes clave que estimulan las percepciones del consumidor sobre la aceptación avanzada de la tecnología de robots.

Resultados

Los principales prototipos de robots avanzados se identificaron mediante la revisión de los estudios TAM y de IA sobre robots que se utilizan actualmente en la industria del turismo y la hostelería. Esta investigación, encontró que a medida que las tecnologías testadas en los estudios TAM, se han mejorado mediante la incorporación de sistemas altamente interactivos, aumentando la capacidad y mejorando la usabilidad de la interfaz; se ha vuelto más importante examinar la interactividad percibida de la tecnología para los modelos avanzados de aceptación de robots. Los ejemplos de usos avanzados de robots, indican que cada aplicación de aprendizaje automático varía el rendimiento de la tarea de los robots y la interacción con los consumidores. La realización de estudios experimentales y la medición de la interactividad de los robots avanzados son vitales para futuras investigaciones.

Originalidad/valor

Este es el primer estudio sobre como los consumidores del sector turístico y hotelero aceptan los robots de IA basado en aplicaciones de machine learning (aprendizaje automático). El marco iTAM proporciona constructos fundamentales para futuros estudios sobre los factores que influyen en el consumidor a la hora de aceptar los robots de IA como tecnología innovadora. iTAM se podría aplicar a experimentos empíricos e investigaciones con el objetivo de generar estrategias a largo plazo y consejos específicos para implementar y administrar varios robots avanzados.

Palabras clave

iTAM, Aprendizaje automático, Robot de inteligencia artificial, Aceptación de tecnología, Interactividad percibida, Tipo de robot IA

Tipo de papel Papel conceptual

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