Hoi Yan Cheung and Alex W.H. Chan
The purpose of this paper is to look at the competitiveness motive and mastery motive across 33 countries. The competitiveness motive is found to be a significant but negative…
Abstract
Purpose
The purpose of this paper is to look at the competitiveness motive and mastery motive across 33 countries. The competitiveness motive is found to be a significant but negative predictor of employee training.
Design/methodology/approach
The dataset was collected from two sources. Competitiveness motive and mastery motive scores of countries were collected from Lynn's study (1991); and work relation variables, such as employee training, worker motivation, and the world competitiveness score, were collected from the IMD World Competitiveness Yearbook 2008. Correlations, regression models and Sobel test were applied for analysis.
Findings
Although people with a strong competitiveness motive are eager to beat others, the results indicate that they may not see training as an effective method of beating others in terms of the competitiveness positions of their country. Employee training is found to be related to the work motivation of employees, and thus to the competitiveness positions of countries. Some suggestions are made for such outcomes.
Practical implications
The paper highlights the importance of employee training in organizations.
Originality/value
The paper demonstrates the importance of training with regard to global competitiveness positions.
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Arbind Samal, Sabyasachi Patra and Devjani Chatterjee
The purpose of this paper is to examine the influence of culture on organizational readiness to change (ORC) within the context of merger and acquisition (M&A) in the banking…
Abstract
Purpose
The purpose of this paper is to examine the influence of culture on organizational readiness to change (ORC) within the context of merger and acquisition (M&A) in the banking sector in India.
Design/methodology/approach
A multisource approach is used to collect data from a public-sector bank in India for testing our hypothesis. A hierarchical approach based on higher-order modelling has been deployed for confirming the path model. The foundation of the study is based on power distance (PD) and uncertainty avoidance (UA) cultural dimensions of Hofstede (1984).
Findings
Employees in organizations with large PD and high UA index exhibit low readiness to change. Findings support a negative relationship of culture (large PD and high UA) with organizational readiness to change at the individual level.
Research limitations/implications
The study has three major implications. First, measures and importance of change readiness at the individual level during corporate events such as M&A is elucidated in the study. Second, a paradigm for assessing higher-order models grounded in theoretical and methodological rigour for testing our hypothesis is presented in the paper. Last, the role of culture in M&A processes is highlighted vis-à-vis factors related to PD and UA on ORC.
Practical implications
The findings of the research answer to the call for a study on factors that help in creating a synergy for successful M&A across all sectors especially in the banking sector. People representing high UA and large PD often look forward to direction and guidelines for guiding employee actions. Leaders therefore need to set clear agenda and effectively communicate the appropriateness of change to their employees for developing positive behaviour towards desirable organizational outcomes. This study touches upon this important perspective for its practical utilization.
Originality/value
The study adds to the limited literature on change which addresses the need for studying socio-cultural factors in the M&A process, especially in an emerging economies context.
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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Mian Yan, Alex Pak Ki Kwok, Alan Hoi Shou Chan, Yu Sheng Zhuang, Kang Wen and Kai Chao Zhang
E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests…
Abstract
Purpose
E-commerce live streaming is a new influencer advertising method that allows influencers to interact directly with consumers on e-commerce platforms. Although evidence suggests that influencer live-streaming advertisements (ads) on social media can increase consumers’ buying impulses, little research examined how this similar but new advertising method on e-commerce platforms may influence consumers’ urge to buy impulsively. This study explores the role of influencer credibility, celebrity effect, perceived entertainment, trust and perceived usefulness on consumers’ attitudes toward influencer ads and their urge to buy impulsively.
Design/methodology/approach
A questionnaire containing seven constructs was developed and distributed to participants using a convenient sample and snowball sampling approach. The constructs were measured based on validated measurement items from the literature and adjusted according to this study’s focus. A total of 236 valid responses were obtained from the survey and used for data analysis. A partial least squares structural equation modeling approach was employed for parameter estimation and model testing.
Findings
The empirical results show that all constructs influenced consumers’ urge to buy impulsively via attitude toward influencer ads. The proposed research model explains 61.7% of the variance in attitude toward influencer ads and 19.4% of the urge to buy impulsively.
Originality/value
This is an early study investigating the relationship between influencer advertising and impulse buying. The results provide valuable insights into improving the design of influencer ads and marketing strategies.
Highlights
I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.
Consumers’ attitude towards influencer ads affects their urge to buy impulsively.
Influencer credibility affects consumer attitude via celebrity effect as a mediator.
Trust affects consumer attitude via perceived usefulness as a mediator.
Entertaining ads help develop favorable consumer attitude.
I-eIB model tests the mechanism of influencer ads on consumers’ buying impulse.
Consumers’ attitude towards influencer ads affects their urge to buy impulsively.
Influencer credibility affects consumer attitude via celebrity effect as a mediator.
Trust affects consumer attitude via perceived usefulness as a mediator.
Entertaining ads help develop favorable consumer attitude.
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Ho Kwan Cheung, Eden King, Alex Lindsey, Ashley Membere, Hannah M. Markell and Molly Kilcullen
Even more than 50 years after the Civil Rights Act of 1964 prohibited discrimination toward a number of groups in employment settings in the United States, workplace…
Abstract
Even more than 50 years after the Civil Rights Act of 1964 prohibited discrimination toward a number of groups in employment settings in the United States, workplace discrimination remains a persistent problem in organizations. This chapter provides a comprehensive review and analysis of contemporary theory and evidence on the nature, causes, and consequences of discrimination before synthesizing potential methods for its reduction. We note the strengths and weaknesses of this scholarship and highlight meaningful future directions. In so doing, we hope to both inform and inspire organizational and scholarly efforts to understand and eliminate workplace discrimination.
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Yaw A. Debrah and Ian G. Smith
Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on…
Abstract
Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.
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Alex Torku, Albert P.C. Chan and Esther H.K. Yung
The purpose of this study is to identify the barriers that hinder the implementation of age-friendly initiatives in smart cities.
Abstract
Purpose
The purpose of this study is to identify the barriers that hinder the implementation of age-friendly initiatives in smart cities.
Design/methodology/approach
A systematic review of the literature was conducted using Scopus search engine. Relevant keywords were used to discover 81 publications in academic journals. The titles, abstracts, keywords and full texts of the publications were examined to select 39 publications that were relevant for identifying the barriers that hinder the implementation of age-friendly initiatives in smart cities. The contents of the 39 relevant publications were analysed to ascertain the key barriers. A system thinking approach was adopted to understand the interaction among the barriers.
Findings
The study identified five key groups of barriers – namely physical barriers and environmental characteristics, technological barriers, social barriers, financial barriers and political barriers – that smart cities encountered or are likely to encounter in implementing age-friendly initiatives. Moreover, practical examples of good age-friendly implementation practices were highlighted.
Research limitations/implications
A limitation of this study is in the number of publications reviewed. Despite the comprehensive review, the number of publications reviewed may not be exhaustive. This is justified by the inapplicability of considering all possible keywords in one review study.
Practical implications
The systemic perspective of the barriers that hinder the implementation of age-friendly initiatives in smart cities would support policymakers in formulating policy recommendations to improve age-friendliness in cities.
Originality/value
This study underscores the variable and dynamic nature of developing age-friendly smart cities and forms novel basis for gaining insights into the multiple factors that can promote the integration of age-friendly initiatives within smart cities.
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We compare the finite sample power of short- and long-horizon tests in nonlinear predictive regression models of regime switching between bull and bear markets, allowing for time…
Abstract
We compare the finite sample power of short- and long-horizon tests in nonlinear predictive regression models of regime switching between bull and bear markets, allowing for time varying transition probabilities. As a point of reference, we also provide a similar comparison in a linear predictive regression model without regime switching. Overall, our results do not support the contention of higher power in longer horizon tests in either the linear or nonlinear regime switching models. Nonetheless, it is possible that other plausible nonlinear models provide stronger justification for long-horizon tests.
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Emmanuel Bannor B. and Alex O. Acheampong
This paper aims to use artificial neural networks to develop models for forecasting energy demand for Australia, China, France, India and the USA.
Abstract
Purpose
This paper aims to use artificial neural networks to develop models for forecasting energy demand for Australia, China, France, India and the USA.
Design/methodology/approach
The study used quarterly data that span over the period of 1980Q1-2015Q4 to develop and validate the models. Eight input parameters were used for modeling the demand for energy. Hyperparameter optimization was performed to determine the ideal parameters for configuring each country’s model. To ensure stable forecasts, a repeated evaluation approach was used. After several iterations, the optimal models for each country were selected based on predefined criteria. A multi-layer perceptron with a back-propagation algorithm was used for building each model.
Findings
The results suggest that the validated models have developed high generalizing capabilities with insignificant forecasting deviations. The model for Australia, China, France, India and the USA attained high coefficients of determination of 0.981, 0.9837, 0.9425, 0.9137 and 0.9756, respectively. The results from the partial rank correlation coefficient further reveal that economic growth has the highest sensitivity weight on energy demand in Australia, France and the USA while industrialization has the highest sensitivity weight on energy demand in China. Trade openness has the highest sensitivity weight on energy demand in India.
Originality/value
This study incorporates other variables such as financial development, foreign direct investment, trade openness, industrialization and urbanization, which are found to have an important effect on energy demand in the model to prevent underestimation of the actual energy demand. Sensitivity analysis is conducted to determine the most influential variables. The study further deploys the models for hands-on predictions of energy demand.