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Available. Open Access. Open Access
Article
Publication date: 28 October 2019

Rita Goyal, Nada Kakabadse and Andrew Kakabadse

Boards presently are considered the most critical component in improving corporate governance (CG). Board diversity is increasingly being recommended as a tool for enhancing firm…

13703

Abstract

Purpose

Boards presently are considered the most critical component in improving corporate governance (CG). Board diversity is increasingly being recommended as a tool for enhancing firm performance. Academic research and regulatory action regarding board diversity are focussed mainly on gender and ethnic composition of boards. However, the perspective of board members on board diversity and its impact is mostly missing. Moreover, while strategic leadership perspective suggests that a broader set of upper echelon’s characteristics may shape their actions, empirical evidence investigating the impact of less-explored attributes of diversity is almost non-existent. While the research on the input–output relationship between board diversity and firm performance remains equivocal, an intervening relationship between board diversity and board effectiveness needs to be understood. The purpose of this paper is to address all three limitations and explore the subject from board members’ perspective.

Design/methodology/approach

The paper presents the findings of qualitative, exploratory research conducted by interviewing 42 board members of FTSE 350 companies. The data are analysed thematically.

Findings

The findings of the research suggest that board members of FTSE 350 companies consider the diversity of functional experience to be a critical requirement for boards’ role-effectiveness. Functionally diverse boards manage external dependencies more effectively and challenge assumptions of the executive more efficiently, thus improving CG. The findings significantly contribute to the literature on board diversity, as well as to strategic leadership theory and other applicable theories. The research is conducted with a relatively small but elite and difficult to approach set of 42 board members of FTSE 350 companies.

Practical implications

The paper makes a unique and significant contribution to praxis by presenting the perspective of practitioners of CG – board members. The findings may encourage board nomination committees to seek board diversity beyond the gender and ethnic characteristics of directors. The findings may also be relevant for policy formulation, as they indicate that functionally diverse boards have improved effectiveness in a range of board roles.

Social implications

Board diversity is about building a board that accurately reflects the make-up of the population and stakeholders of the society where the company operates. The aim of board diversity is to cultivate a broad range of attributes and perspectives that reflects real-world demographics as boards need to continue to earn their “licence to operate in society” as organisations have a responsibility to multiple constituents and stakeholders, including the community and the wider society within which they exist. Building social capital through diversity has value in the wider context of modern society and achieving social justice.

Originality/value

The paper makes an original and unique contribution to strategic leadership theory by strengthening the argument of the theory. The paper explores beyond widely researched attributes of gender and ethnicity on boards and explores the impact of a less-researched characteristic of directors – their functional experience. Moreover, the paper opens the “black box” of CG – boards, and presents the perspectives of board members. The findings indicate that board members in FTSE 350 boards define diversity more broadly than academics and regulatory agencies often do.

Details

Journal of Capital Markets Studies, vol. 3 no. 2
Type: Research Article
ISSN: 2514-4774

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 November 2019

Güler Aras

336

Abstract

Details

Journal of Capital Markets Studies, vol. 3 no. 2
Type: Research Article
ISSN: 2514-4774

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Book part
Publication date: 24 October 2019

Tarek Ibrahim Eldomiaty, Panagiotis Andrikopoulos and Mina K. Bishara

Purpose: In reality, financial decisions are made under conditions of asymmetric information that results in either favorable or adverse selection. As far as financial decisions…

Abstract

Purpose: In reality, financial decisions are made under conditions of asymmetric information that results in either favorable or adverse selection. As far as financial decisions affect growth of the firm, the latter must also be affected by either favorable or adverse selection. Therefore, the core objective of this chapter is to examine the determinants of each financial decision and the effects on growth of the firm under conditions of information asymmetry.

Design/Methodology/Approach: This chapter uses data for the non-financial firms listed in S&P 500. The data cover quarterly periods from 1989 to 2014. The statistical tests include linearity, fixed, and random effects and normality. The generalized method of moments estimation method is employed in order to examine the relative significance and contribution of each financial decision on growth of the firm, respectively. Standard and proposed proxies of information asymmetry are discussed.

Findings: The results conclude that there is a variation in the impact of financial variables on growth of the firm at high and low levels of information asymmetry especially regarding investment and financing decisions. A similar picture emerges in the cases of firm size and industry effects. In addition, corporate dividen d policy has a similar effect on firm growth across all asymmetric levels. These findings prove that information asymmetry plays a vital role in the relationship between corporate financial decisions and growth of the firm. Finally, the results contribute to the vast literature on the estimation of information asymmetry by demonstrating that the classical and standard proxies for information asymmetry are not consistent in terms of the ability to differentiate between favorable or adverse selection (which corresponds to low and high level of information asymmetry).

Originality/Value: This chapter contributes to the related literature in two ways. First, this chapter offers updated empirical evidence on the way that financing, investment, and dividends decisions are made under conditions of favorable and adverse selection. Other related studies deal with each decision separately. Second, the study offers new proxies for measuring information asymmetry in order to reach robust estimates of the effects of financial decisions on growth of the firm under conditions of agency problems.

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Article
Publication date: 17 May 2024

Rockson Mintah, Godfred Matthew Yaw Owusu, Rita Amoah-Bekoe and Gorkel Obro-Adibo

This paper reviews scholarly literature on electronic banking (EB) research over a three-decade period. The focus of this review is to evaluate the intellectual structure and…

190

Abstract

Purpose

This paper reviews scholarly literature on electronic banking (EB) research over a three-decade period. The focus of this review is to evaluate the intellectual structure and trends and unearth new areas in the research domain of EB.

Design/methodology/approach

Drawing data from the Scopus database, a bibliometric analysis was performed on 2,391 research articles published in the EB domain. The articles were examined and synthesized through volume analysis, citation analysis, authorship analysis and the level of collaboration, co-citation analysis and keyword co-occurrence analysis. A well-known bibliometric tool, VOSviewer, was used to create and analyse various bibliometric maps, networks and tables.

Findings

This study uncovers the temporal and spatial trends of publications on EB, the most influential documents, authors, productive publication outlets, countries in the domain, the status of collaboration and the major themes that have been studied in the literature. The publication trail over the years has been gauged using overlay visualization.

Practical implications

This paper highlights new concepts that have emerged in EB over the past three decades and suggests future avenues for research in this area.

Originality/value

Research in the domain of EB is empirical, with only a handful of studies being literature reviews. This is the first-of-its-kind study that aims to trace the development of electronic banking over the past 29 years, from 1994 to 2022, through bibliometric analysis and network visualization.

Details

International Journal of Bank Marketing, vol. 42 no. 7
Type: Research Article
ISSN: 0265-2323

Keywords

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Article
Publication date: 26 October 2021

Munazza Mahmood, Syeda Hina Batool, Muhammad Rafiq and Muhammad Safdar

The present study aims to examine the current digital information literacy (DIL) skills of female online shoppers in Lahore city of Pakistan. Data were gathered from a purposive…

1634

Abstract

Purpose

The present study aims to examine the current digital information literacy (DIL) skills of female online shoppers in Lahore city of Pakistan. Data were gathered from a purposive sampling of women, aged between 20–50 years who were buying products online, not from the traditional retail stores. Out of 309 received questionnaires, 269 responses were useable and were utilized for data analysis. Descriptive and inferential statistics were used to deduce inferences.

Design/methodology/approach

Quantitative research approach was employed for this study, and a survey was conducted to collect the data from the study's respondents. For data analysis, descriptive and inferential statistics were used.

Findings

Results revealed that the digital information literacy skills of women were good to a moderate level. However, they were not confident in applying advanced searching options. In accordance with what was hypothesized in a directional hypothesis, DIL was found to be a strong predictor of online shopping behavior of women, consequently highlighting the importance of such competencies in modern life. Other findings illustrate that participating women rarely engaged in online shopping and felt hesitation in using credit/debit card for online transactions.

Research limitations/implications

These observations highlight the important role of information professionals in creating digital literacy among different population groups, specifically women, by planning digital information instruction through courses, workshops and trainings. This could eventually be possible with the dynamic role of librarians or information professionals in the society.

Originality/value

The present study adopts the unique approach of measuring online shopping behavior of female shoppers in connection with their digital information literacy skills.

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Book part
Publication date: 14 October 2019

Georgina Lukanova and Galina Ilieva

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel…

Abstract

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel companies.

Design/methodology/approach: A two-step approach was applied in this study. First, the authors make a theoretical overview of the robots, artificial intelligence and service automation (RAISA) in hotels. Second, the authors make a detailed overview of various case studies from global hotel practice.

Findings: The application of RAISA in hotel companies is examined in connection with the impact that technology has on guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, assessment.

Research implications: Its implications can be searched with respect to future research. It deals with topics such as how different generations (guests and employees) perceive RAISA in the hotel industry and what is the attitude of guests in different categories of hotels (luxury and economy) towards the use of RAISA. It also shows what is the attitude of different types of tourists (holiday, business, health, cultural, etc.) and what kinds of robots (androids or machines) are more appropriate for different types of hotel operations.

Practical implications: The implications are related to the improvement of operations and operational management, marketing and sales, enhancement of customer experience and service innovation, training and management.

Originality/value: This book chapter complements and expands research on the role of RAISA in the hotel industry and makes some projections about the use of technologies in the future.

Details

Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality
Type: Book
ISBN: 978-1-78756-688-0

Keywords

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Article
Publication date: 4 June 2024

Ismael Gómez-Talal, Pilar Talón-Ballestero, Veronica Leoni and Lydia González-Serrano

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the…

475

Abstract

Purpose

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Design/methodology/approach

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Findings

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

Research limitations/implications

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

Originality/value

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

目的

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

设计/方法/途径

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法(差异中的差异), 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

发现

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究限制/含义

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

原创性/价值

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格(通过收入管理系统(RMS)例如DynamEat)在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Propósito

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Diseño/metodología/enfoque

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Hallazgos

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

Limitaciones/implicaciones de la investigación

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Originalidad/valor

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

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Book part
Publication date: 10 December 2018

Krassimir Todorov and Yusaf H. Akbar

Abstract

Details

Strategic Management in Emerging Markets
Type: Book
ISBN: 978-1-78754-166-5

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Article
Publication date: 7 September 2020

Ruijia Liu, Jianjun Yang and Feng Zhang

Prior studies have demonstrated the important role of coopetition in firms’ innovation. Based on the paradox perspective, this study aims to focus on technology transfer, the…

806

Abstract

Purpose

Prior studies have demonstrated the important role of coopetition in firms’ innovation. Based on the paradox perspective, this study aims to focus on technology transfer, the pre-innovation stage, to provide a supplementary understanding of the complementarity and contradictoriness of paradoxical coopetition, with the formal and informal governance mechanisms which are suitable with this understanding in coopetition.

Design/methodology/approach

This study conducted an original, multisource survey of 280 Chinese manufacturing firms. Hypotheses were tested through multiple regressions.

Findings

Coopetition has a positive impact on technology transfer between firms. Along with the increasing specificity of assets invested ex ante as a kind of formal governance mechanism, the relationship between coopetition and technology transfer becomes stronger. Meanwhile, inter-firm justice as an informal governance mechanism in the technology transfer process can be positively affected by coopetition between partners.

Originality/value

The study adds to the business-to-business coopetition literature on how to properly treat and use coopetition in technology transfer. Using the paradox perspective in the Chinese context, the findings emphasize the positive role of coopetition in the inter-firm technological exchange process, enriching the understanding of the complementary and contradictory features of paradoxical coopetition. To govern coopetitive relationships, the firms should also implement two fundamental governance mechanisms, that is, specialty asset and inter-firm justice.

Details

Journal of Business & Industrial Marketing, vol. 36 no. 5
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 31 July 2023

Chetanya Singh, Manoj Kumar Dash, Rajendra Sahu and Anil Kumar

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively…

1176

Abstract

Purpose

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

Design/methodology/approach

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Findings

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

Research limitations/implications

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

Originality/value

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

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