Bitt Moon, Chang-Won Choi and Eugene Kim
A total of 478 Americans participated in an online survey. Each participant was asked to answer questions about a company randomly assigned from one of 36 companies representing…
Abstract
Purpose
A total of 478 Americans participated in an online survey. Each participant was asked to answer questions about a company randomly assigned from one of 36 companies representing six industries.
Design/methodology/approach
This study aims to explain how corporate social responsibility (CSR) and negative corporate ability (CA) associations lead to negative word-of-mouth (WOM) intentions in non-crisis situations. Specifically, this study investigates the mediating roles of revenge and avoidance motives in the relationship between negative CSR and CA associations and the intention to generate negative WOM.
Findings
The findings indicate that negative CSR associations have a greater effect on WOM than negative CA associations. Moreover, negative CSR associations stimulate the revenge motive, resulting in stronger intentions to spread negative information, while negative CA associations lead to the avoidance motive, resulting in weaker intentions to spread negative information.
Originality/value
Unlike most previous studies that focused on crises, this study examines how negative CA and CSR associations influence negative WOM in non-crisis situations, shedding light on the roles of motives including the revenge and avoidance. The research fills a gap in the existing literature by demonstrating that negative CSR associations have a greater impact on negative WOM intentions than negative CA associations in non-crisis situations.
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Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Tenn. 37203. Mrs. Cheney does not sell the books listed here. They are…
Abstract
Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Tenn. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.
Eduardo Plastino and Mark Purdy
The article shares the results of a survey Accenture undertook to measure AI’s potential economic impact on 16 industries.
Abstract
Purpose
The article shares the results of a survey Accenture undertook to measure AI’s potential economic impact on 16 industries.
Design/methodology/approach
The goal was to understand the chief reasons for AI’s potential impact and to identify a set of strategies that companies in any industry can use to benefit from advances in AI technologies.
Findings
AI’s unique characteristics as a capital–labor hybrid, which confers the ability to augment human labor at scale and speed, self-learn and continuously improve over time—will require organizations to adopt new approaches and models in a variety of functional areas.
Practical implications
AI can augment labor productivity by taking on low value-added or supporting tasks and thus enable workers to focus on high value work. Bosch has adopted a “thinking factory” approach in one of its German automotive plants…to enable AI-powered machines to self-diagnose technical failures, order replacement parts autonomously and anticipate maintenance needs.
Originality/value
All industries studied stand to benefit from AI, though three -- information and communication, manufacturing and financial services sectors -- will likely realize the biggest gains. Businesses in every industry will need to consider AI as a potential change agent in their investment, innovation and human capital development strategies. To prepare their organizations for a successful future with AI, business leaders should adopt eight strategies.
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Ki Ho Kim, Eugene Y. Roh, Young Joong Kim and Samuel A. Spralls
The primary purpose of this article is to develop and test a model of the antecedents and consequences (Cho et al., 2016) of bullying in Korean hotel kitchens.
Abstract
Purpose
The primary purpose of this article is to develop and test a model of the antecedents and consequences (Cho et al., 2016) of bullying in Korean hotel kitchens.
Design/methodology/approach
Cross-sectional survey data were collected from 288 kitchen workers at 12 upscale Korean hotels. Proposed path models were tested using Hayes' (2013) PROCESS syntax in SPSS for mediation and moderated mediation analyses.
Findings
The empirical results indicated that an employee's acquiescent silence behavior increases the likelihood of being bullied. As a result, bullied employees are more likely to respond by engaging in a person-related counterproductive work behavior (CWB-P) or in defensive silence out of fear with temporary employees reacting less aggressively compared to regular employees.
Research limitations/implications
Cross-sectional design and self-report data risk common method variance and attributions of causality. Future research should use longitudinal designs to avoid common method bias and make causal inferences. Theoretical and practical implications for kitchen productivity are presented. The study should offer valuable insights for prospective employers to develop on-going training and create a positive working environment within the organization.
Originality/value
While bullying is a widespread and even an epidemic problem for the commercial kitchen environment, research into abusive behavior among chefs has been limited. By utilizing a specific segment of the hospitality industry, this research identified different behavioral aspects of bulling between temporary and regular employees in the commercial kitchen environment.
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The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation…
Abstract
Purpose
The purpose of this paper is to investigate how biological scientists form research ethics for data sharing, and what the major factors affecting biological scientists’ formation of research ethics for data sharing are.
Design/methodology/approach
A research model for data sharing was developed based on the consequential theorists’ perspective of ethics. An online survey of 577 participants was administered, and the proposed research model was validated with a structural equation modeling technique.
Findings
The results show that egoism factors (perceived reputation, perceived risk, perceived effort), utilitarianism factors (perceived community benefit and perceived reciprocity) and norm of practice factors (perceived pressure by funding agency, perceived pressure by journal and norm of data sharing) all contribute to the formation of research ethics for data sharing.
Research limitations/implications
This research employed the consequentialist perspective of ethics for its research model development, and the proposed research model nicely explained how egoism, utilitarianism and norm of practice factors influence biological scientists’ research ethics for data sharing, which eventually leads to their data sharing intentions.
Practical implications
This research provides important practical implications for examining scientists’ data sharing behaviors from the perspective of research ethics. This research suggests that scientists’ data sharing behaviors can be better facilitated by emphasizing their egoism, utilitarianism and normative factors involved in research ethics for data sharing.
Originality/value
The ethical perspectives in data sharing research has been under-studied; this research sheds light on biological scientists’ formation of research ethics for data sharing, which can be applied in promoting scientists’ data sharing behaviors across different disciplines.