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Article
Publication date: 14 December 2021

Dallin M. Alldredge, Yinfei Chen, Steve Liu and Lan Luo

This study aims to examine the information transfer effects of customers’ credit rating downgrades on supplier firms.

389

Abstract

Purpose

This study aims to examine the information transfer effects of customers’ credit rating downgrades on supplier firms.

Design/methodology/approach

In this study, the authors use suppliers’ cumulative abnormal returns around customers’ credit rating downgrade events to identify how shocks to customer credit impact supplier equity prices. The authors also incorporate ordinary least squares and weighted least squares regressions regression analysis of the determinants of supplier market response to customer downgrades.

Findings

The authors find that customer credit rating downgrades present significant negative shocks to the stock prices of supplier firms. Moreover, the authors show that the information transfer effects are determined by both firm- and industry-level factors, including the market anticipation of downgrades, the strength of the customer–supplier linkage, the industry rivals’ reactions to the downgrades and investor attention. The authors also find that the likelihood that a supplier will receive a rating downgrade is significantly higher following its primary customer firm’s downgrade.

Originality/value

To the best of the authors’ knowledge, this paper is the first to explore the information transfer effects of credit rating downgrades on primary stakeholders within the supply chain. The authors document that customer–supplier networks have valuable implications for the spillover effect across debt and equity holders. Information about customers’ financial stress is incorporated into suppliers’ equity prices outside of the context of customer bankruptcy.

Details

Review of Accounting and Finance, vol. 21 no. 1
Type: Research Article
ISSN: 1475-7702

Keywords

Available. Content available
Book part
Publication date: 14 November 2016

Robert H. Herz

Free Access. Free Access

Abstract

Details

More Accounting Changes
Type: Book
ISBN: 978-1-78635-629-1

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Article
Publication date: 27 September 2022

Kanimozhi Narayanan and Chanki Moon

Antecedents and outcomes of workplace deviance have been studied over the past few decades but there is still a lack of research from an organizational climate, witness and…

736

Abstract

Purpose

Antecedents and outcomes of workplace deviance have been studied over the past few decades but there is still a lack of research from an organizational climate, witness and cultural point of view. Theoretical considerations for the present research are based on the social cognitive theory perspective where the authors expect employees's involvement in workplace destructive deviance would depend on their organizational climate perception, witness behavior and cultural orientation.

Design/methodology/approach

A total of 987 participants from India (N = 404) and USA (N = 583) completed an online questionnaire, and multi-group structural equation modeling analysis was conducted to test the hypothesized model.

Findings

Across cultural groups, higher collectivism is associated with lower engagement in workplace deviance. Furthermore, employees' higher intervening witness behavior is associated with lower destructive deviant behaviors when employees showed higher endorsement of collectivism in India (not USA). However, employees' higher self-serving witness behavior is associated with higher destructive deviant behaviors. Interestingly, employees with higher endorsement of individualism associated with organizational climate are more likely to engage in destructive deviance.

Originality/value

The main originality of this study is to further increase the understanding of the relationship between organizational climate, witness behavior (self-serving and intervening behavior) and workplace deviance (organizational and interpersonal destructive deviance) considering the role of employees' cultural orientation (individualism vs collectivism).

Details

Cross Cultural & Strategic Management, vol. 30 no. 2
Type: Research Article
ISSN: 2059-5794

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Article
Publication date: 25 September 2019

Gordon Liu, Meng-Shan Sharon Wu, Wai Wai Ko, Cheng-Hao Steve Chen and Yantai Chen

Cause-related marketing (CRM) focuses on the use of marketing tools to publicize a firm’s corporate social responsibility (CSR) activities. Drawing on legitimacy theory, the…

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Abstract

Purpose

Cause-related marketing (CRM) focuses on the use of marketing tools to publicize a firm’s corporate social responsibility (CSR) activities. Drawing on legitimacy theory, the purpose of this paper is to investigate the impact of CRM-led CSR in international business-to-business (B2B) markets. In particular, the authors examine the relationship between supplier CRM-led philanthropic CSR reputation and foreign customer business engagement in an international B2B setting. The authors also test how the foreign customer’s host-country sustainable development level moderates this relationship.

Design/methodology/approach

The authors collect and analyze dyadic data from multiple sources including: dyadic data from a supplier and its 90 foreign customers; the supplier’s internal company records; and publically available data.

Findings

The authors find that supplier CRM-led philanthropic CSR reputation positively affects foreign customer business engagement. Furthermore, the authors find that this positive relationship is stronger when host-country environments are characterized by achieving higher level of environmental well-being development. In contrast, this positive relationship is weaker when the foreign customer host-country environment is characterized by achieving higher level of economic well-being development.

Originality/value

The authors examine that impacts of CRM-led CSR in international B2B markets and differentiate the contingent roles of foreign customer host-country sustainable development in moderating such impacts.

Details

International Marketing Review, vol. 37 no. 4
Type: Research Article
ISSN: 0265-1335

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Article
Publication date: 23 July 2020

Wai Wai (Joyce) Ko, Cheng-Hao Steve Chen, Gordon Liu, Bang Nguyen and Sachiko Takeda

This study connects the theoretical concepts of strategic orientation and information technology (IT)-based product innovation strategy to suggest that several key factors can…

758

Abstract

Purpose

This study connects the theoretical concepts of strategic orientation and information technology (IT)-based product innovation strategy to suggest that several key factors can help small firms to develop IT-based product innovation strategies.

Design/methodology/approach

With data from 245 useable questionnaires (response rate 25.18%) from UK-based small firms in the high-tech industry, the research model was tested and validated.

Findings

Findings show that information technology support for core competencies mediates the relationship between strategic orientation and IT-enabled product innovation (ITEPI). Specifically, by distinguishing the different types of strategic orientation and information technology support for core competencies, the study finds that IT support for market access competency (ITMA) mediates the market orientation–ITEPI relationship, while IT support for functionality-related competency (ITFR) mediates the technology orientation–ITEPI relationship. Academic implications arising from the findings are discussed and managerial propositions provided.

Originality/value

This study offers a fresh theoretical angle from which to understand the factors that contribute to ITEPI. More specifically, we argue that strategic orientation reflects managers' focus to pursue certain activities, and that ITEPI serves as organizational activity. Further, this study also extends relevant research in the field of strategy, IT and innovation. It provides a more nuanced picture of how strategic orientation affects ITEPI.

Available. Open Access. Open Access
Article
Publication date: 2 May 2023

Sarah Amsl, Iain Watson, Christoph Teller and Steve Wood

Inaccurate product information on retail websites lead to dissatisfied customers and profit losses. Yet, the effects of product information failures (PIFs) remain under-explored…

2849

Abstract

Purpose

Inaccurate product information on retail websites lead to dissatisfied customers and profit losses. Yet, the effects of product information failures (PIFs) remain under-explored, with the mobile commerce channel commonly overlooked. This paper aims (1) to investigate the negative effects of PIFs on shoppers' attitudes and behaviours in a mobile context. The authors further (2) evaluate the impacts of the cause and duration of a PIF, changes of expectations towards the retailer after a PIF occurred and how previous mobile shopping experience in general decreases the effects of PIFs.

Design/methodology/approach

The authors conducted a scenario-based experiment with a one-factorial between-subjects design. The six most common PIFs of an international leading online fashion retailer are operationalized and tested against a control group. The final sample consists out of 758 mobile shoppers from the UK.

Findings

The results demonstrate that the perceived severity of PIFs based on showing customers incorrect information is higher when key information is lacking. Further, when the cause of a PIF is attributed to the retailer, it results in higher recovery expectations towards them. The results also reveal that respondents who have shopped mobile before perceive PIFs as less severe than inexperienced ones.

Originality/value

This research expands the online service failure literature by examining PIFs and its effects in the specific context of mobile commerce. The authors also provide recommendations for a better management of PIFs like the incorporation of PIFs information into reporting packs.

Details

International Journal of Retail & Distribution Management, vol. 51 no. 9/10
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 10 April 2017

Hsuan-Yi Chou and Tuan-Yu Wang

The purpose of this paper is to investigate the effects of brand strategies and spokesperson expertise on consumer responses to hypermarket private-label products by combining…

2263

Abstract

Purpose

The purpose of this paper is to investigate the effects of brand strategies and spokesperson expertise on consumer responses to hypermarket private-label products by combining concepts from consumer attitude change, resistance to persuasion and construal level theory (CLT).

Design/methodology/approach

Two experiments were conducted to test the propositions.

Findings

Consumers perceived the low-price (low-quality) characteristic of private-label products as a high-level (low-level) construal consideration when forming purchase decisions. Product relevance negatively affected consumers’ perceived product distance. Compared with store brands, separate brands enhanced consumer product attitudes and purchase intentions. Brand strategies and product distance affected consumer message-processing mindset (i.e. resistant to persuasion or open to persuasion) when processing advertisements, ultimately moderating the effect of spokesperson expertise.

Practical implications

The findings are useful for hypermarkets seeking to implement brand strategies and select spokespersons for private-label products. Additionally, the findings show that advertisers should design advertising elements to match consumers’ construal approaches to product-related information.

Originality/value

This study contrasts two common hypermarket brand strategies, identifies the construal levels corresponding to the dual roles of private-label products and expands CLT dimensions. Additionally, the results bridge two research approaches (persuasion and resistance to persuasion) and demonstrate the pivotal influence of brand strategies. The findings also advance understanding of the effects of spokesperson expertise and contribute to resistance theory by showing how to effectively reduce attitude certainty after resistance to persuasion.

Details

European Journal of Marketing, vol. 51 no. 4
Type: Research Article
ISSN: 0309-0566

Keywords

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Article
Publication date: 17 November 2020

Jun Yang, Yonghong Liu, Madelynn Stackhouse and Wei Wang

While much research shows that abusive supervision reduces employee performance, the purpose of this study is to reverse the lens to question how and under what circumstances…

1148

Abstract

Purpose

While much research shows that abusive supervision reduces employee performance, the purpose of this study is to reverse the lens to question how and under what circumstances abusive supervision leads to enhanced employee performance. The authors argue that the linkages between abusive supervision and employee performance occurs via performance-promotion attributions and that employee levels of dispositional forgiveness alter the relationship between abusive supervision and employee interpretations of abuse, such that more forgiving individuals interpret abuse as more benign behavior designed to help them perform better (i.e. are performance promoting).

Design/methodology/approach

In a three-wave field survey of 318 employees matched with 89 supervisors, employees completed measures of dispositional forgiveness (Time 1) abusive supervision (Time 1), and performance-promotion attributions of abusive supervision's motives (Time 2). Supervisors rated the job performance of their employees (Time 3). Multilevel structural equation modeling was employed to test a multilevel moderated mediation model.

Findings

The findings indicate abusive supervision predicts diminished employee performance only when employees are low in dispositional forgiveness, explained by lowered performance-promotion attributions for abusive supervision.

Originality/value

This study is the first to explore the mechanism (i.e. attribution of abusive supervision's motives to be performance-promoting) and the condition (i.e. employee's high forgiveness) under which abusive supervision may be performance enhancing. It extends the research of abusive supervision on employees' constructive reactions, as well as the effect of dispositional forgiveness on how it reframes employees' attributions of workplace mistreatment.

Details

Journal of Managerial Psychology, vol. 35 no. 7/8
Type: Research Article
ISSN: 0268-3946

Keywords

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Article
Publication date: 27 September 2024

Mina Ramzy

Recently, mHealth apps for COVID-19 have emerged as a new research area due to the diverse efforts to control the COVID-19 epidemic. Although there are many bibliometric studies…

207

Abstract

Purpose

Recently, mHealth apps for COVID-19 have emerged as a new research area due to the diverse efforts to control the COVID-19 epidemic. Although there are many bibliometric studies on mHealth and its applications, no bibliometric study sheds light on mHealth apps for COVID-19 as a new research area. To address the above-mentioned research gap, the current study conducts a bibliometric analysis of research in mHealth apps for COVID-19. It aims to provide a comprehensive overview of the new area and its directions.

Design/methodology/approach

The study uses a bibliometric approach to provide an analysis of the overall status of research in mHealth apps for COVID-19. The Scopus database provided by Elsevier was used to extract the analyzed data in this study. SciVal was used to perform the analyses, while VOSviewer was used for scientific mapping.

Findings

A total of 457 publications were published between 2020 and 2021 (until Tuesday, June 1) and cited 3,559 times. Publications were written by 2,375 authors, with an average of 5.20 authors per publication. Articles play a pivotal role in the literature on mHealth apps for COVID-19 in terms of production and impact. The research area of mHealth apps for COVID-19 is multidisciplinary. The United States made the largest contribution to this area, while the UK was the most influential. This study reveals the most productive and influential sources, institutions and authors. It also reveals the research hotspots and major thematic clusters in mHealth apps for COVID-19, highly cited publications and the international collaboration network.

Originality/value

mHealth apps for COVID-19 are gaining more and more importance due to their influential role in controlling the COVID-19 epidemic. Using bibliometric analysis, the study contributes to defining the knowledge structure of global research in mHealth apps for COVID-19 as a new, interdisciplinary area of research that has not previously been studied. Therefore, the study results and the comprehensive picture obtained about research in mHealth apps for COVID-19, especially at the level of Internet of Things (IoT) and artificial intelligence applications, make it an effective supplement to the expert evaluation in the field.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 19 January 2021

Franck Armel Talla Konchou, Pascalin Tiam Kapen, Steve Brice Kenfack Magnissob, Mohamadou Youssoufa and René Tchinda

This paper aims to investigate the profile of the wind speed of a Cameroonian city for the very first time, as there is a growing trend for new wind energy installations in the…

202

Abstract

Purpose

This paper aims to investigate the profile of the wind speed of a Cameroonian city for the very first time, as there is a growing trend for new wind energy installations in the West region of Cameroon. Two well-known artificial neural networks, namely, multi-layer perceptron (MLP) and nonlinear autoregressive network with exogenous inputs (NARX), were used to model the wind speed profile of the city of Bapouh in the West-region of Cameroon.

Design/methodology/approach

In this work, the profile of the wind speed of a Cameroonian city was investigated for the very first time since there is a growing trend for new wind energy installations in the West region of Cameroon. Two well-known artificial neural networks namely multi-layer perceptron (MLP) and nonlinear autoregressive network with exogenous inputs (NARX) were used to model the wind speed profile of the city of Bapouh in the West-region of Cameroon. The meteorological data were collected every 10 min, at a height of 50 m from the NASA website over a period of two months from December 1, 2016 to January 31, 2017. The performance of the model was evaluated using some well-known statistical tools, such as root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). The input variables of the model were the mean wind speed, wind direction, maximum pressure, maximum temperature, time and relative humidity. The maximum wind speed was used as the output of the network. For optimal prediction, the influence of meteorological variables was investigated. The hyperbolic tangent sigmoid (Tansig) and linear (Purelin) were used as activation functions, and it was shown that the combination of wind direction, maximum pressure, maximum relative humidity and time as input variables is the best combination.

Findings

Maximum pressure, maximum relative humidity and time as input variables is the best combination. The correlation between MLP and NARX was computed. It was found that the MLP has the highest correlation when compared to NARX.

Originality/value

Two well-known artificial neural networks namely multi-layer perceptron (MLP) and nonlinear autoregressive network with exogenous inputs (NARX) were used to model the wind speed profile.

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