bluuebunny/crossref_metadata_2025_split huggingface dataset:
How hotels adjust technology-based strategy to respond to COVID-19 and gain competitive productivity (CP): strategic management process and dynamic capabilities
Authors: Liu Chun , Yang Jingjing 
Published: June 2021

Purpose
The purpose of this study is to explore how hotels evolve their dynamic capabilities to adjust their technology-based strategy to improve performance and to gain competitive productivity (CP) during the COVID-19 pandemic and in the aftermath.

Design/methodology/approach
In-depth interviews with hoteliers were conducted to unveil their dynamic capabilities amid the pandemic as regard adjustments and performance of self-service technology (SST)-based strategies. Thematic analysis was used to analyze the data.

Findings
Data analysis revealed four types of dynamic capabilities (i.e. sensing, learning, integrating and coordinating capabilities). Equipped with these capabilities, hotels made minor adjustments to their SST strategies. In general, during an economic downturn, hotels refrained from introducing new SSTs. SSTs introduced before the pandemic were used more frequently and received enhanced customer feedback. The findings further revealed that the factors influencing hotels’ application of SSTs before and after the outbreak of COVID-19 remained similar.

Originality/value
This is the first research integrating CP, dynamic capabilities and strategic management process to explain how hotels adjust technological strategies to recover in a suddenly changed environment. Such a framework enables scholars and practitioners from content-oriented and process-oriented perspectives to make quick but sound strategic management decisions in adapting to turbulent environments. This timely study enriches the expertise of using technology as a recovery strategy and contributes to future research on the practical application of SSTs and crisis management.
The influence of online customer reviews on customers’ purchase intentions: a cross-cultural study from India and the UK
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Vrontis Demetris , Thrassou Alkis 
Published: June 2021

Purpose
The purpose of this study is to examine the influence of online customer reviews (OCRs) and electronic word-of-mouth (eWOM) on customers’ purchase intention (PUI). This study also investigates the cultural differences between the customers in India and UK as regards the influence of OCR and customers’ PUIs.

Design/methodology/approach
This study has used socialisation theory, theory of reasoned action, congruity theory and expectation value theory, along with the existing literature to develop the conceptual model. The theoretical model has been validated using the PLS-SEM technique on a survey involving 305 and 280 respondents for India and UK, respectively.

Findings
The findings highlight that gender has no effect on UK customers’ PUIs, whereas age and gender have considerable impacts on Indian customers’ PUIs.

Research limitations/implications
The study only examines the cross-cultural difference between a European country (UK) and an Asian country (India). Also, since the sample size is low, the findings did not represent a generic view.

Practical implications
The proposed model has provided important inputs to the organisations to understand consumer behaviour particularly the study would help marketing departments to formulate their marketing strategies regarding OCR and customers’ PUI.

Originality/value
This study is unique in understanding the implications of OCR and their influence on customer purchase decisions of UK customers and India’s customers. This study also helps to understand the impact of age and gender on OCR and PUIs.
Incorporating LDA with LSTM for followee recommendation on Twitter network
Authors: Dib Brahim , Kalloubi Fahd , Nfaoui El Habib , Boulaalam Abdelhak 
Published: June 2021

Purpose
The purpose of this study is to facilitate the task of finding appropriate information to read about, and searching for people who are in the same field of interest. Knowing that more people keep up with new streaming information on Twitter micro-blogging service. With the immense number of micro-posts shared via the follower/followee network graph, Twitter users find themselves in front of millions of tweets, which makes the task crucial.

Design/methodology/approach
In this paper, a long short–term memory (LSTM) model that relies on the latent Dirichlet allocation (LDA) output vector for followee recommendation, the LDA model applied as a topic modeling strategy is proposed.

Findings
This study trains the model using a real-life data set extracted based on Twitter follower/followee architecture. It confirms the effectiveness and scalability of the proposed approach. The approach improves the state-of-the-art models average-LSTM and time-LSTM.

Research limitations/implications
This study improves mainly the existing followee recommendation systems. Because, unlike previous studies, it applied a non-hand-crafted method which is the LSTM neural network with LDA model for topics extraction. The main limitation of this study is the cold-start users cannot be treated, also some active fake accounts may not be detected.

Practical implications
The aim of this approach is to assist users seeking appropriate information to read about, by choosing appropriate profiles to follow.

Social implications
This approach consolidates the social relationship between users in a microblogging platform by suggesting like-minded people to each other. Thus, finding users with the same interests will be easy without spending a lot of time seeking relevant users.

Originality/value
Instead of classic recommendation models, the paper provides an efficient neural network searching method to make it easier to find appropriate users to follow. Therefore, affording an effective followee recommendation system.
Performance analysis of erosion resistant Mo2C reinforced WC-CoCr coating for pump impeller with Taguchi’s method
Authors: Singh Jashanpreet , Singh Jatinder Pal 
Published: June 2021

Purpose
This study aims to deal with development and performance analysis of high-velocity oxy-fuel (HVOF) thermally sprayed Mo2C-based WC-CoCr (tungsten carbine cobalt chrome) (Co-10% and Cr-4%) cermet coating deposited on the pump impeller steel 316 L.

Design/methodology/approach
In this work, a study was carried out by modifying the conventional WC-CoCr powder with a small addition of molybdenum carbide (Mo2C). Reinforcement was done by 1–4 wt.% addition of Mo2C feedstocks in WC-CoCr powder by using a jar ball mill process. The design of experiment was implemented for optimization of the percentage of Mo2C feedstock. L16 (4 × 4) orthogonal array was used to design the experiments for erosion output for the input parameters namely velocity, particle size, concentration and Mo2C proportion.

Findings
Results show that the Mo2C-based WC-CoCr coating provides better microhardness as compared to conventional WC-CoCr coating. The present study also reveals that the deposition of conventional WC-CoCr coating has improved the wear resistance of SS 316 L by 9.98%. However, the slurry erosion performance of conventional WC-CoCr coating was improved as 69.6% by the addition of 3% Mo2C.

Practical implications
WC-CoCr coatings are universally used for protecting the equipment and machinery from abrasion, erosion and corrosion. So, the 3% Mo2C-based WC-CoCr can be useful in power plants and various industries like mining, chemical, automobile, cementing and food processing industries.

Originality/value
A new HVOF coating has been developed by the addition of Mo2C feedstock in WC-CoCr powder (Co 10% and Cr 4%) and the percentage of Mo2C feedstock was optimized to improve the tribological behavior of WC-CoCr coating.
Multimodal cooperative learning for micro-video advertising click prediction
Authors: Chen Runyu 
Published: June 2021

PurposeMicro-video platforms have gained attention in recent years and have also become an important new channel for merchants to advertise their products. Since little research has studied micro-video advertising, this paper aims to fill the research gap by exploring the determinants of micro-video advertising clicks. We form a micro-video advertising click prediction model and demonstrate the effectiveness of the multimodal information extracted from the advertisement producers, commodities being sold and micro-video contents in the prediction task.Design/methodology/approachA multimodal analysis framework was conducted based on real-world micro-video advertisement datasets. To better capture the relations between different modalities, we adopt a cooperative learning model to predict the advertising clicks.FindingsThe experimental results show that the features extracted from different data sources can improve the prediction performance. Furthermore, the combination of different modal features (visual, acoustic, textual and numerical) is also worth studying. Compared to classical baseline models, the proposed cooperative learning model significantly outperforms the prediction results, which demonstrates that the relations between modalities are also important in advertising micro-video generation.Originality/valueTo the best of our knowledge, this is the first study analysing micro-video advertising effects. With the help of our advertising click prediction model, advertisement producers (merchants or their partners) can benefit from generating more effective micro-video advertisements. Furthermore, micro-video platforms can apply our prediction results to optimise their advertisement allocation algorithm and better manage network traffic. This research can be of great help for more effective development of the micro-video advertisement industry.
Charting consumers' continued social commerce intention
Authors: Hu Xi , Chen Zhenjiao , Davison Robert M. , Liu Yaqin 
Published: June 2021

PurposeThis study aims to investigate the factors influencing consumers' continued social commerce (s-commerce) intention and its underlying mechanism.Design/methodology/approachThe authors define continued s-commerce intention as consumers' intention to continually participate in s-commerce activities, namely, requesting and sharing commercial information. Grounded in the motivation theory, perceived usefulness and perceived enjoyment are identified in this study as the motives behind consumers' continued s-commerce intention. Given the indispensable social facet of s-commerce, the authors include social support as another critical social factor motivating continuance intention. Furthermore, users' perceptions are affected by prior s-commerce outcomes, which concern the effectiveness of the commercial information exchange process. Research suggests that in such a context, the result of communication is jointly determined by source credibility and interactive relationships amongst individuals. Whilst source credibility determines the usefulness of the information transmitted, a social interaction supports this process. Therefore, source credibility and social interactions are crucial to the outcomes of s-commerce, which, in turn, affect consumers' perceived usefulness, perceived enjoyment and social support in s-commerce. Building on these arguments, the authors propose our research model and then test the hypotheses via a survey.FindingsThe authors find that consumers' perceived usefulness and informational social support of s-commerce directly affect their continued s-commerce intention. Moreover, perceived enjoyment leads to continued s-commerce intention via the mediation of perceived usefulness, whilst emotional social support influences continued s-commerce intention through the mediator of informational social support. In addition, source credibility is a significant antecedent of consumers' usefulness, enjoyment and social support perceptions, whilst a social interaction significantly impacts perceived enjoyment and social support.Originality/valueVarious consumer behaviours in s-commerce have been studied; however, the continuance intention to participate in the s-commerce activity remains unknown. This empirical study fills this research gap. Moreover, the authors initially reveal s-commerce participants' utilitarian orientation in the post-adoption stage: perceived usefulness and informational social support affect continuance intention more directly than perceived enjoyment and emotional social support. Further, prior studies on information systems continuance have mainly focused on technical features. By identifying the influence from social factors, i.e. social support, this work extends the literature on information systems continuance.
Obstacle negotiation analysis of track-legged robot based on terramechanics
Authors: Hongbiao Zhu , Liu Yueming , Wang Weidong , Du Zhijiang 
Published: June 2021

Purpose
This paper aims to present a new method to analyze the robot’s obstacle negotiation based on the terramechanics, where the terrain physical parameters, the sinkage and the slippage of the robot are taken into account, to enhance the robot’s trafficability.

Design/methodology/approach
In this paper, terramechanics is used in motion planning for all-terrain obstacle negotiation. First, wheel/track-terrain interaction models are established and used to analyze traction performances in different locomotion modes of the reconfigurable robot. Next, several key steps of obstacle-climbing are reanalyzed and the sinkage, the slippage and the drawbar pull are obtained by the models in these steps. In addition, an obstacle negotiation analysis method on loose soil is proposed. Finally, experiments in different locomotion modes are conducted and the results demonstrate that the model is more suitable for practical applications than the center of gravity (CoG) kinematic model.

Findings
Using the traction performance experimental platform, the relationships between the drawbar pull and the slippage in different locomotion modes are obtained, and then the traction performances are obtained. The experimental results show that the relationships obtained by the models are in good agreement with the measured. The obstacle-climbing experiments are carried out to confirm the availability of the method, and the experimental results demonstrate that the model is more suitable for practical applications than the CoG kinematic model.

Originality/value
Comparing with the results without considering Terramechanics, obstacle-negotiation analysis based on the proposed track-terrain interaction model considering Terramechanics is much more accurate than without considering Terramechanics.
Carbon disclosure, performance and the green reputation of higher educational institutions in the UK
Authors: Saha Anup Kumar , Dunne Theresa , Dixon Rob 
Published: June 2021

PurposeThis study aims to investigate the carbon emission disclosures (CED) and performance of UK higher educational institutions (HEIs) and the associated impact on their environmental reputation. The paper argues that HEIs possess distinct characteristics that make comparisons with profit-oriented companies problematic and misleading.Design/methodology/approachThe green score published by the People and Planet organisation provided the population for this analysis. All universities with a 2012 score were entered into the initial sample. The association between green reputation, CED and carbon performance was examined using a robust least squared regression model. The green score published in 2019 was then compared with this to confirm whether the findings still held.FindingsCED, carbon emissions and carbon audit were found to have highly significant determinant relationships with HEIs’ green reputation status at a 1% significance level.Research limitations/implicationsThe impact of CED and carbon performance indicators needs to have a clear relationship with reputation to motivate HEIs to act and disclose.Originality/valueThe study is distinct in investigating the impact of CED and carbon performance by UK HEIs on their environmental reputation. The study shows whether, and how, the HEI CED and carbon performances contribute towards their environmental reputation. HEIs have distinct characteristics from profit-seeking organisations and thus tailored research is required.
The old and the beautiful: senior women’s exposure to models in advertisements and the impact on their identity
Authors: Bourcier-Béquaert Bénédicte , Chevalier Corinne , Moal Gaëlle Marie 
Published: June 2021

Purpose
This study aims to examine how exposure to female models in advertisements can create identity tensions in senior women and how they manage the comparison and develop different adaptation strategies to deal with these tensions.

Design/methodology/approach
This research is based on a qualitative approach involving 27 in-depth interviews with French women aged 60 to 79. Photo-elicitation with choice of models as reference points by respondents was used to capture comparison strategies with regard to models.

Findings
Interviews with senior women confirm that identity tensions due to appearance arise in the context of ageing, particularly when senior women are faced with advertising models. Three reactions of senior women to identity tensions are described, namely, avoiding comparison to protect the self, engaging in comparison despite its resulting devaluation of the self, proceeding to a positive comparison that reinforces their identity. This paper finds that comparison modalities are specific to each strategy.

Research limitations/implications
This research opens the way to further investigation, especially with regard to understanding social comparison mechanisms in an advertising context for senior women targets.

Practical implications
This paper raises awareness of the effects of senior women’s exposure to advertising on their self-perception in the context of ageing. It provides practical guidance to advertising professionals on the use of models in ads when targeting senior women and helps marketing managers in their communication strategies.

Social implications
This research reveals pronounced identity tensions in relation to appearance among senior women in the context of advertising exposure. By providing more diverse models, advertising representations could help to improve the identity perceptions of senior women.

Originality/value
Very few studies have hitherto investigated identity effects on senior female consumers of female model usage in advertising.
Work environment transformation in the post COVID-19 based on work values of the future workforce
Authors: Pataki-Bittó Fruzsina , Kapusy Kata 
Published: June 2021

PurposeThe purpose of this study is to find out the future workforce’s work values and, based on them, to examine the work environment Generation Z are looking for in the situation of job search. Moreover, this study aims to provide ideas for organizations on how to transform the work environment for the post-COVID-19 era to attract and retain employees, especially the members of Generation Z.Design/methodology/approachThe research design is based on the theory development method. Data were generated and collected from 28 focus groups and a survey (n= 773). First, initial coding was done with an affinity diagram, followed by the intermediate coding phase, when the authors compared the codings’ results and selected the core data. Finally, the advanced coding resulted in a work value model, which presents Generation Z’s core work value categories.FindingsThe paper presents a work value theory for Generation Z, which reflects their expectations of the physical work environment and the flexible work arrangements among the work values. To prepare for the post-COVID-19 era, this study suggests organizations applying hybrid working models.Practical implicationsBased on impacts and expected transformations in office work in the post-COVID-19 era, the paper calls attention to the critical management issues concerning Generation Z’s preferences and expectations.Originality/valueThe findings propose a broader work value theory approach that highlights the work environment’s convenience features and integrates values that support the employees’ desired lifestyle and well-being.
Benefit appeals and perceived corporate hypocrisy: implications for the CSR performance of fast fashion brands
Authors: Wei Xiaoyong , Jung Sojin 
Published: June 2021

Purpose
When fast fashion brands launch corporate social responsibility (CSR) programs, consumers may consider these brands to behave hypocritically as their business model is generally perceived as being inconsistent with sustainable practices. Built on construal level theory (CLT), this study aims to examine how the benefit appeals that are widely used in CSR initiatives affect perceived corporate hypocrisy and the CSR performance of fast fashion brands.

Design/methodology/approach
This study designed an online experiment with a 2 (fashion brand: fast fashion vs. unknown) × 2 (benefit appeal: self-benefit vs other-benefit) stimulus, using a virtual label named “Eco Care” for experimental manipulation. A total number of 298 Chinese consumers participated in the experiment and they answered an online survey.

Findings
It was found that the brand types (fast fashion vs unknown) and benefit appeals (self-benefit vs other benefit) did not elicit perceived corporate hypocrisy nor did them directly affect perceptions of CSR performance. However, there was a significant interaction effect of them. That is, fast fashion brand’s CSR performance was judged based on how the brand framed its sustainability claims. A fast fashion brand’s CSR label significantly increased hypocrisy perceptions when the label used a self-benefit appeal and the interactive effect of the fast fashion brand and the self-benefit appeal hindered the formation of a green brand image and brand purchase intentions.

Originality/value
This study adds a body of knowledge to the literature by examining the relationship between benefit appeals and perceived corporate hypocrisy from the perspective of CLT. The findings can help fast fashion marketers better understand the critical role of benefit appeals by acknowledging that the misuse of communication strategies may result in unfavorable consequences, thus ruining their efforts to improve their brand’s image.
Developing and testing a typology of brand benefit differentiation
Authors: Hem Alexander Farestvedt , Supphellen Magne 
Published: June 2021

Purpose
The purpose of this study is to expand the notion of differentiation by developing and testing a typology of brand benefit differentiation.

Design/methodology/approach
Brand concept maps were used to identify three types of differentiation. The effects of the types of differentiation on benefit evaluation and brand attachment were tested in two follow-up studies using path analysis.

Findings
A comparison of the association maps of four international brands showed instances of all three types of benefit differentiation – categorical, graded and structural benefit differentiation. The tests of effects revealed that categorical benefit differentiation had negative effects, whereas structural and graded differentiation had positive effects on benefit evaluation and brand attachment, respectively.

Research limitations/implications
The findings suggest that other types of benefit differentiation are more important than uniqueness. Future research should test the relevance and usefulness of the typology for other brands and consumer segments.

Practical implications
The new typology opens new opportunities for the differentiation of brands. Brand managers should avoid a myopic focus on uniqueness. Rather, they should analyze networks of benefit associations in detail for all three types of differentiation identified in this research and strengthen the level of structural and/or graded differentiation.

Originality/value
This research demonstrates, for the first time, the importance of two types of differentiation other than uniqueness. It also supports previous studies showing the negative effects of uniqueness on variables related to brand equity.