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Book part
Publication date: 21 January 2022

Abstract

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Industry 4.0 and Global Businesses
Type: Book
ISBN: 978-1-80117-326-1

Available. Content available
Book part
Publication date: 24 June 2024

Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu

Free Access. Free Access

Abstract

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Cognitive Psychology and Tourism
Type: Book
ISBN: 978-1-80262-579-0

Available. Content available
Book part
Publication date: 6 September 2018

Abstract

Details

Advances in Pacific Basin Business, Economics and Finance
Type: Book
ISBN: 978-1-78756-446-6

Available. Open Access. Open Access
Article
Publication date: 16 February 2023

Hazem Aldabbas and Niël Oberholzer

This study provides theoretical and empirical insights into how firms can enhance their performance strategically and financially by integrating learning and transformational…

2134

Abstract

Purpose

This study provides theoretical and empirical insights into how firms can enhance their performance strategically and financially by integrating learning and transformational capabilities into research and development (R&D) activities based on the dynamic capabilities approach. To achieve this, the authors propose that transformational capabilities in R&D mediate the relationship between learning capabilities in R&D and competitive advantage.

Design/methodology/approach

Using a purposive sampling technique and standardized questionnaires, data were collected from 118 R&D and senior managers. To analyze the data, multiple regression analysis, along with SPSS PROCESS macro (Model 4), was used.

Findings

The results support the theoretical assumption that there are direct and indirect positive and significant effects between learning capabilities in R&D and competitive advantage as mediated by transformational R&D capabilities.

Originality/value

This study explores R&D from a dynamic capabilities perspective and suggests that learning capabilities should come first to enhance businesses’ competitive advantage. Furthermore, transformational R&D capabilities can explain the relationship between learning capabilities in R&D and competitive advantage. The authors recommend that researchers should investigate the contributions of R&D to promote competitive advantage.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 1
Type: Research Article
ISSN: 1985-9899

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 November 2020

Mahmud Hassan and Rumman Hassan

Waiting is associated with pain and stress that leads to frustration. However, consumer narratives may help cope with the stress associated with such waiting. This study aims to…

2336

Abstract

Purpose

Waiting is associated with pain and stress that leads to frustration. However, consumer narratives may help cope with the stress associated with such waiting. This study aims to understand consumer waiting behaviours within online communities.

Design/methodology/approach

Data was gathered following a netnographic approach from a Facebook brand community (FBC) by downloading and archiving the threads related to members’ waiting behaviours. This resulted in 91 pages of data, with 438 individual comments and 179 distinct threads.

Findings

The data revealed that members of the sampled FBC exercised waiting behaviour. The authors confirm that waiting for a product is associated with both negative outcomes (frustration, boredom, etc.), but positive ones (create stronger ties with the brand and fellow members, etc.). Members of the FBC exhibited reduced consumer anxiety and stress during the waiting period.

Research limitations/implications

This study found 13 waiting behaviours within the FBC and supports the idea that new value-creating behaviours are noticed within the context of FBCs.

Originality/value

This study focuses on waiting within a goods-based context (waiting to be served has been examined predominantly within the service sector). The study explored the behaviours of consumers who use social media to complain about extended waiting periods to receive the product along with other consumer reactions to these waiting crowds to reduce the emotional pain associated with such delays.

Propósito

La espera se asocia con el dolor y el estrés, lo que lleva a la frustración. Sin embargo, el relato de otros consumidores puede ayudar a hacer frente al estrés asociado a dicha espera. Este trabajo busca entender el comportamiento de espera de los consumidores dentro de las comunidades online.

Diseño/metodología/enfoque

Los datos fueron recopilados siguiendo un enfoque netnográfico de una comunidad de marca en Facebook (CMF) mediante la descarga de mensajes; sólo los hilos relacionados con los comportamientos de espera de los miembros fueron descargados y archivados. Esto resultó en 91 páginas de datos con 438 comentarios individuales y 179 hilos distintos.

Hallazgos

Los datos revelan que en Facebook se dan comportamientos de espera. Confirmamos que la espera de un producto no sólo está asociada a resultados negativos (frustración, aburrimiento, etc.), sino también a resultados positivos (crear lazos más fuertes con la marca y los compañeros). Además, se comprueba que los miembros de la CMF reducen la ansiedad y el estrés del consumidor durante el período de espera.

Limitaciones/implicaciones de la investigación

Este trabajo encuentra 13 comportamientos de espera dentro de una CMF

Originalidad/valor

Este trabajo se centra en la espera dentro del contexto basado en los bienes (la espera para ser atendido ha sido examinada principalmente dentro del sector de servicios). Además, no sólo nos centramos en los consumidores que utilizan los medios sociales para quejarse de una espera más larga en la recepción del producto, sino también en la reacción de otros consumidores a estas esperas para reducir el dolor emocional asociado a dicho retraso.

Available. Open Access. Open Access
Article
Publication date: 11 July 2023

Najib H. S. Farhan and Faozi A. Almaqtari

This research aims to examine the impact of RPTs and board of directors' characteristics on the market value of Indian listed banks. Further, this study evaluates the moderation…

1168

Abstract

Purpose

This research aims to examine the impact of RPTs and board of directors' characteristics on the market value of Indian listed banks. Further, this study evaluates the moderation effect of board composition on the association between RPTs banks’ market value.

Design/methodology/approach

The sample size consists of 38 banks listed on Bombay stock exchange. The current study is based on secondary data for ten years from 2010 to 2019. Generalized Method of Moment (GMM) was used for estimating the results.

Findings

Subsidiary transactions, board of directors' size, composition, diligence, promoters, remuneration and banks' size and leverage have a significant impact on the market value of Indian listed banks. Further, board of directors' composition positively moderates the association between RPTs and banks value measured by Tobin's. Furthermore, corporate governance characteristics have a significant impact on RPTs measured by total RPTs and all subsidiary transactions.

Research limitations/implications

This research is limited only to listed banks whose data are available in the ProwessIQ database, which makes it difficult to generalize the findings on other unlisted banks. This research helps policymakers, investors and creditors to categorize RPTs into different groups to identify the harmful and beneficial once to the bank. The findings suggest that policymakers, investors and creditors should not consider all key personal transactions as harmful transactions; instead, the policymakers, investors and creditors should consider all subsidiary transactions as harmful in the absence of independent directors.

Originality/value

The present study contributes to the existing literature on RPTs by evaluating the interaction effect of board composition on the association between related party transactions and banks' value. Further, this research focuses on the financing industry; Indian banks, which has not been sufficiently researched in comparison to the non-financing industries.

Details

Asian Journal of Accounting Research, vol. 8 no. 4
Type: Research Article
ISSN: 2459-9700

Keywords

Available. Content available
Book part
Publication date: 1 April 2007

Manoranjan Dutta

Abstract

Details

European Union and the Euro Revolution
Type: Book
ISBN: 978-1-84950-827-8

Available. Open Access. Open Access
Article
Publication date: 6 February 2025

Arne Walter, Kamrul Ahsan and Shams Rahman

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the…

222

Abstract

Purpose

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Design/methodology/approach

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

Findings

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

Originality/value

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Available. Open Access. Open Access
Article
Publication date: 4 April 2023

Chun-Chien Lin and Yu-Chen Chang

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse…

2134

Abstract

Purpose

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.

Design/methodology/approach

Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.

Findings

MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.

Practical implications

MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.

Originality/value

This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

Details

International Journal of Climate Change Strategies and Management, vol. 16 no. 3
Type: Research Article
ISSN: 1756-8692

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 June 2024

Kuo-Zheng Feng

This study intended to bridge this gap by investigating the perspectives of international students regarding Taiwan’s bilingual education policy and its impact on their…

317

Abstract

Purpose

This study intended to bridge this gap by investigating the perspectives of international students regarding Taiwan’s bilingual education policy and its impact on their willingness to enroll in graduate programs in Taiwan. Additionally, the comparisons among international students from diverse backgrounds were examined.

Design/methodology/approach

Employing a qualitative research design, the study included nine participants from three countries, with each country contributing three students. Three sessions of semi-structured interviews were conducted, supplemented by the analysis of 15 documents from 8 organizations and universities.

Findings

Results indicated predominantly negative views toward Taiwan’s bilingual education policy, with little impact reported by two participants and none by others. Furthermore, themes derived from document analysis deviated from participants' viewpoints.

Originality/value

A focus on students from southern Asia, which was the major source of international students in Taiwan, becomes critical. In the same vein, little literature has been found concerning graduate students' perceptions toward bilingual education policy, which should be thoroughly explored as well.

Details

Higher Education Evaluation and Development, vol. 18 no. 2
Type: Research Article
ISSN: 2514-5789

Keywords

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