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Article
Publication date: 24 February 2020

Zhenyao Cai, Dandan Wu, Ying Xin, Yang Chen and Haining Wu

The purpose of this study is to investigate how and why formal mentoring support reduces newcomers' intention to leave from the perspective of uncertainty reduction theory.

Abstract

Purpose

The purpose of this study is to investigate how and why formal mentoring support reduces newcomers' intention to leave from the perspective of uncertainty reduction theory.

Design/methodology/approach

Time-lagged data were collected from two sources, mentors and newcomers, and 193 paired data sets were included in the analysis.

Findings

The results showed that formal mentoring support was positively related to newcomers' person–organisation fit (P–O fit) and person–job fit (P–J fit). In addition, P–O fit and P–J fit mediated the relationship between formal mentoring support and newcomers' intention to leave. Moreover, newcomers' uncertainty avoidance orientation strengthened the relationship between formal mentoring support and perception of fit, and it strengthened the indirect effect between formal mentoring support and newcomer's intention to leave, via the perception of fit.

Originality/value

This study enhances our understanding of the underlying mechanism between formal mentoring support and newcomers' intention to leave. Moreover, it demonstrates that uncertainty avoidance orientation is an important boundary condition during the process of organisational socialisation. The findings also contribute to the organisational socialisation and the mentoring literature by providing evidence from a blue-collar sample.

Article
Publication date: 19 September 2022

Ruihe Yan and Xiang Gong

Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online…

Abstract

Purpose

Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online visual description and online instant messenger) mitigate property quality uncertainty and property fit uncertainty, which further influence Airbnb use intention.

Design/methodology/approach

This work tests the proposed research model using a structural equation modeling approach with 335 Airbnb users.

Findings

The findings reveal that the online property review, online textual description, online visual description and online instant messenger can efficiently mitigate property quality uncertainty and property fit uncertainty, which ultimately influence Airbnb use intention.

Research limitations/implications

This study provides useful insights on mitigating property uncertainty in the peer-to-peer (P2P) accommodation platforms. Researchers are encouraged to investigate the boundary conditions that influence the effectiveness of uncertainty reduction strategies in alleviating property uncertainty.

Practical implications

P2P accommodation service providers are suggested to take actionable uncertainty reduction strategies to mitigate property uncertainty in online P2P accommodation platforms.

Originality/value

First, this study advances research on P2P accommodation by identifying two key types of property uncertainty, namely, property quality uncertainty and property fit uncertainty. Second, this study extends research on P2P accommodation by proposing contextualized passive, active and interactive uncertainty reduction strategies in mitigating property uncertainty. Third, this study extends uncertainty reduction theory to the P2P accommodation context. Fourth, this study enriches uncertainty reduction theory by verifying the mediating effects of property quality uncertainty and property fit uncertainty.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 25 September 2019

Dianwicaksih Arieftiara, Sidharta Utama, Ratna Wardhani and Ning Rahayu

This study aims to examine the contingent fit between business strategies and environmental uncertainty and its effect on corporate tax avoidance.

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Abstract

Purpose

This study aims to examine the contingent fit between business strategies and environmental uncertainty and its effect on corporate tax avoidance.

Design/methodology/approach

This study uses a two-stage linear regression method comprising multinomial logistic regression and panel data regression.

Findings

This study finds that under highly uncertain conditions, the contingent fit of prospector strategy is higher than the contingent fit of other two strategies, i.e. defender and analyzer strategy. The study fails, however, to demonstrate that under highly uncertain conditions, this study finds that under highly uncertain conditions the contingent fit of a “prospector” strategy is higher than for “defender” and “analyzer” strategies. The study fails, however, to demonstrate that under highly uncertain conditions the contingent fit of a defender strategy is higher than that of an analyzer strategy. The study also finds that the contingent fit between prospector strategy and environmental uncertainty has a positive effect on tax avoidance, and this effect is higher than for the misfit strategies. Moreover, in such environments the fit level of a defender strategy has a negative effect on tax avoidance while environmental uncertainty has a positive effect on tax avoidance.

Research limitations/implications

This study estimated competition uncertainty using the Herfindahl index to measure competitive intensity in an industry. However, only the data from public listed companies was used due to a lack of data availability for non-public companies. Consequently, further study is recommended to include the total number of companies within an industry as a proxy of competitive intensity.

Practical implications

The results implied that managers, not only in Indonesia but also in other countries as well, specifically emerging countries (generally the environmental uncertainty in emerging countries is high) should consider the contingent factors when making business strategy decisions. Managers must be aware of the contingent fit with environmental uncertainty, and therefore, must assess external conditions prudently. Furthermore, the results of this study showed that managers should pay more attention to the effects of their decisions on corporate tax avoidance, while aligning their business strategy decisions with corporate tax planning strategy to obtain an optimal outcome for the company.

Social implications

The Directorate General of Taxes and Board of Fiscal Policy, as regulators, need to comprehend environmental uncertainty to issue various policies that can ease the burden of the taxpayer to remain in business, particularly during the turbulence environment so that can prevent the companies doing illegal practices and will eventually reduce the number of tax avoidance.

Originality/value

This study developed alternative measure of tax avoidance, which is tax avoidance latent variable score (TAXLVS). The TAXLVS was derived from confirmatory factor analysis of previous existing tax avoidance measurements. This study is also the first that analyzes the effect of business strategy on tax avoidance using contingency approach.

Details

Meditari Accountancy Research, vol. 28 no. 1
Type: Research Article
ISSN: 2049-372X

Keywords

Open Access
Article
Publication date: 13 July 2021

Emmelie Gustafsson, Patrik Jonsson and Jan Holmström

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit

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Abstract

Purpose

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.

Design/methodology/approach

The paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.

Findings

The cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.

Research limitations/implications

Virtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.

Originality/value

The paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 8
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 20 August 2020

Ricardo Zimmermann, Luis Miguel D.F. Ferreira, Antonio Carrizo Moreira, Ana Cristina Barros and Henrique Luiz Correa

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in…

Abstract

Purpose

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.

Design/methodology/approach

The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.

Findings

The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.

Originality/value

An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

Details

The International Journal of Logistics Management, vol. 32 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 6 December 2023

Jung-Kuei Hsieh and Sushant Kumar

The purpose of this paper addresses the issue of inconsistent findings regarding the impact of consumers' need for touch (NFT) on webrooming behavior. It investigates the…

Abstract

Purpose

The purpose of this paper addresses the issue of inconsistent findings regarding the impact of consumers' need for touch (NFT) on webrooming behavior. It investigates the moderator of maximization by drawing on maximizing mindset theory.

Design/methodology/approach

Three studies were carried out to test the hypothesized relationships. The first study investigated the impact of autotelic NFT on webrooming intention. The second study examined the impact of instrumental NFT on webrooming intention. The third study tested all hypotheses by the structural equation modeling approach.

Findings

The results confirm moderation by consumers' maximizing mindset. The moderated mediation analyses show that the interaction effect of autotelic NFT and maximization influences webrooming intention indirectly via anticipated sensory pleasure. Likewise, the interaction effect of instrumental NFT and maximization influences webrooming intention indirectly via product fit uncertainty.

Originality/value

The study draws on maximizing mindset theory to show that consumers' autotelic NFT and instrumental NFT drive their webrooming intentions depending on the activation of their maximizing mindset. The nonsignificant relationship between autotelic NFT and webrooming intention in the context of satisficers explains the conflicting findings reported in the literature. Consumers' affective and cognitive responses were also studied to uncover the underlying mechanisms of their webrooming intention. This research contributes to the literature by enhancing the understanding of webrooming behavior.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 19 December 2023

Xinyu Ma, Eugene Cheng-Xi Aw and Raffaele Filieri

The recent livestreaming commerce has magnified the role of influencer marketing, where the influencers are partnering with brands for product promotion. This study examines the…

Abstract

Purpose

The recent livestreaming commerce has magnified the role of influencer marketing, where the influencers are partnering with brands for product promotion. This study examines the impact of influencer attributes, interaction strategies and parasocial relationships on impulsive buying in livestreaming commerce.

Design/methodology/approach

A survey with 368 livestreaming commerce users was analyzed using the symmetric-thinking approach – partial least squares structural equation modeling (PLS-SEM) and asymmetric thinking approach – fuzzy set qualitative comparative analysis (fsQCA).

Findings

The results of PLS-SEM indicate that influencer trustworthiness, influencer interactivity and self-disclosure determine parasocial relationships, which in turn influence impulsive buying. The fsQCA finding returned three configurations with various combinations of the causal conditions (i.e. influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty) explaining the formation of impulsive buying.

Originality/value

These findings provide unique linear and nonlinear insights to explain the combinatory effects of influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty on impulsive buying in livestreaming commerce.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 10 January 2022

Hao Chen, Haitao Chen and Xiaoxu Tian

Social shopping platforms have flourished by using multiple social shopping features, yet little is known about how the combination of these features affects purchase intention…

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Abstract

Purpose

Social shopping platforms have flourished by using multiple social shopping features, yet little is known about how the combination of these features affects purchase intention, particularly in terms of the product itself. The purpose of the paper is to draw on the concept of social shopping feature richness, adopting a formative approach on the survey used, and endeavors to reveal the concept's impact on consumers' buying intention from a product perspective.

Design/methodology/approach

Building on mental accounting and signaling theories, a theoretical model is proposed and empirically evaluated with 356 samples collected using a questionnaire survey.

Findings

The results suggest that social shopping feature richness promotes consumers' consumption by providing information signals to satisfy acquisition utility and transaction utility. Specifically, social shopping feature richness enhances perceived product quality, while decreasing negative perceptions regarding price. Moreover, perceived product quality and perceived price significantly influence buying intention through the mechanism of perceived value.

Originality/value

The authors' study highlights the role of the combination of functionally diverse social shopping features on product sales for social shopping platforms.

Article
Publication date: 23 September 2022

Xiayu Chen, Jiawen Wang and Shaobo Wei

The success of social commerce depends on the actual transactions of consumers, which will be prevented in the presence of high uncertainty. However, attention paid to the…

Abstract

Purpose

The success of social commerce depends on the actual transactions of consumers, which will be prevented in the presence of high uncertainty. However, attention paid to the uncertainty reduction strategies in social commerce is limited, especially from a unified theoretical framework. Based on uncertainty reduction theory (URT), this paper aims to investigate how three uncertainty reduction strategies (i.e. situational normality, perceived effectiveness of social commerce institutional mechanisms (PESIM) and swift guanxi) affect perceived uncertainty in social commerce, which in turn affects buyers' purchase intention and purchase behavior. The moderating effects of PESIM on the relationships between the other two strategies and perceived uncertainty were also tested.

Design/methodology/approach

In this study longitudinal data from 211 buyers who have usage experience of Xiaohongshu were collected to test the proposed model and hypotheses.

Findings

Results show that the three uncertainty reduction strategies significantly reduce perceived uncertainty. PESIM negatively moderates the relationships between situational normality and perceived uncertainty, swift guanxi and perceived uncertainty. Perceived uncertainty is negatively related to purchase intention. Purchase intention positively affects purchase behavior.

Originality/value

This study focuses on the role of uncertainty reduction mechanisms in promoting purchase behavior through uncertainty reduction and sheds light on the relationships among situational normality, PESIM, swift guanxi and perceived uncertainty based on URT, which have not been extensively studied from a theoretical perspective in social commerce contexts. Besides, this study investigates the moderating role of PESIM, which improves the understanding of the role of swift guanxi and situational normality in reducing perceived uncertainty under the boundary condition of PESIM.

Details

Industrial Management & Data Systems, vol. 122 no. 12
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 19 April 2023

Jinqi Men, Xiabing Zheng and Robert M. Davison

This article seeks to understand how live-streaming technology (i.e. interactivity and effective use of live-streaming shopping’s information presentation tool) impacts consumers’…

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Abstract

Purpose

This article seeks to understand how live-streaming technology (i.e. interactivity and effective use of live-streaming shopping’s information presentation tool) impacts consumers’ credibility perception regarding live streamers.

Design/methodology/approach

The authors empirically examined their hypotheses with data (n = 405) collected from a survey of consumers who engage in live-streaming shopping.

Findings

The results demonstrate that vicarious learning strategies (both coactive and independent) can shape consumers’ benefit perceptions (i.e. virtual presence and psychological proximity), and further have a positive effect on consumers’ personal value (i.e. perceived live streamer credibility). Furthermore, the consumers’ perception of the live streamers’ credibility positively affects their purchase intention and ultimately influences their purchase behavior.

Originality/value

Building on the vicarious learning theory and means-end chain (MEC) model, this study investigates the mechanism of the IT features of live-streaming shopping in reducing consumers’ uncertainty about live streamers. This study reveals the value of vicarious learning experiences in reducing consumers’ uncertainty and further enhancing their purchase behavior.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

1 – 10 of over 47000