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Article
Publication date: 26 July 2023

Yupeng Mou and Xiangxue Meng

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have…

Abstract

Purpose

With the upgrade of natural language interaction technology, the simulation extension of intelligent voice assistants (IVAs) and the uncertainty of products and services have received more and more attention. However, most of the existing research focuses on investigating the application of theories to explain consumer behavior related to intention to use and adopt IVAs, while ignoring the impact of its privacy issues on consumer resistance. This article especially examines the negative impact of artificial intelligence-based IVAs’ privacy concerns on consumer resistance, and studies the mediating effect of perceived creepiness in the context of privacy cynicism and privacy paradox and the moderating effect of anthropomorphized roles of IVAs and perceived corporate social responsibility (CSR) of IVAs’ companies. The demographic variables are also included.

Design/methodology/approach

Based on the theory of human–computer interaction (HCI), this study addresses the consumer privacy concerns of IVAs, builds a model of the influence mechanism on consumer resistance, and then verifies the mediating effect of perceived creepiness and the moderating effect of anthropomorphized roles of IVAs and perceived CSR of IVAs companies. This research explores underlying mechanism with three experiments.

Findings

It turns out that consumers’ privacy concerns are related to their resistance to IVAs through perceived creepiness. The servant (vs. partner) anthropomorphized role of IVAs is likely to induce more privacy concerns and in turn higher resistance. At the same time, when the company’s CSR is perceived high, the impact of the concerns of IVAs’ privacy issues on consumer resistance will be weakened, and the intermediary mechanism of perceiving creepiness in HCI and anthropomorphism of new technology are further explained and verified. The differences between different age and gender are also revealed in the study.

Originality/value

The research conclusions have strategic reference significance for enterprises to build the design framework of IVAs and formulate the response strategy of IVAs’ privacy concerns. And it offers implications for researchers and closes the research gap of IVAs from the perspective of innovation resistance.

Article
Publication date: 31 October 2022

Lurdes Barroso Simao, Luisa Carvalho and Maria Jose Madeira

Based on the socio-technical systems theory, this study aims to investigate the impact of management innovation (MI) on organisational performance (OP), as well as the mediating…

Abstract

Purpose

Based on the socio-technical systems theory, this study aims to investigate the impact of management innovation (MI) on organisational performance (OP), as well as the mediating role of technology (TEC) use and service innovation (SI) in linking MI and OP.

Design/methodology/approach

The research data was derived from 163 knowledge-intensive business services firms and analysed through structural equation modelling using SmartPLS software.

Findings

This study found a significant impact of MI on OP. The analysis also revealed that TEC use and SI influence OP and that MI influences performance indirectly through TEC use and SI.

Practical implications

This research reinforces the role of MI in firms aiming at improving their performance. The findings of this study suggest that managers’ regular initiatives in management practices, processes and structures influence the enabling role of TEC use and SI on OP.

Originality/value

Since not every MI lead to the planned performance, this research contributes to the literature on the influence of MI on OP by providing empirical evidence on the role of TEC use and SI on OP. TEC use and SI serve as complementary mediators. Higher levels of MI directly increase OP but also increase TEC use and SI, leading to OP.

Details

International Journal of Innovation Science, vol. 15 no. 4
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 21 December 2021

Ling Jiang, Tingsheng Zhao, Chuxuan Feng and Wei Zhang

This research is aimed at predicting tower crane accident phases with incomplete data.

352

Abstract

Purpose

This research is aimed at predicting tower crane accident phases with incomplete data.

Design/methodology/approach

The tower crane accidents are collected for prediction model training. Random forest (RF) is used to conduct prediction. When there are missing values in the new inputs, they should be filled in advance. Nevertheless, it is difficult to collect complete data on construction site. Thus, the authors use multiple imputation (MI) method to improve RF. Finally the prediction model is applied to a case study.

Findings

The results show that multiple imputation RF (MIRF) can effectively predict tower crane accident when the data are incomplete. This research provides the importance rank of tower crane safety factors. The critical factors should be focused on site, because the missing data affect the prediction results seriously. Also the value of critical factors influences the safety of tower crane.

Practical implication

This research promotes the application of machine learning methods for accident prediction in actual projects. According to the onsite data, the authors can predict the accident phase of tower crane. The results can be used for tower crane accident prevention.

Originality/value

Previous studies have seldom predicted tower crane accidents, especially the phase of accident. This research uses tower crane data collected on site to predict the phase of the tower crane accident. The incomplete data collection is considered in this research according to the actual situation.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 23 November 2021

Chenxiao Wang, Feng Guo and Qingpu Zhang

Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences…

1399

Abstract

Purpose

Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences firm performance in relation to the contingency of market-supporting institutions.

Design/methodology/approach

A sample of 207 firms was gathered through questionnaires targeting senior managers and R&D managers from high-tech firms in China with two waves including explanatory variables and outcome variables.

Findings

This empirical results indicate that disruptive innovation positively affects firm performance, and that innovation speed and innovation quality mediate the relationship between disruptive innovation and firm performance. Meanwhile, market-supporting institutions positively moderate the relationship between innovation speed and firm performance, but negatively moderate the relationship between innovation quality and firm performance.

Research limitations/implications

This study suggests that disruptive innovation is important to firm performance, innovation speed and innovation quality play mediating roles, and market-supporting institutions acts as moderating effects. A research limitation is that the data were collected mainly through a questionnaire.

Practical implications

Firms should incorporate disruptive innovation as an important strategy and improve innovation speed and innovation quality to promote firm performance, and policymakers should improve the levels of market-supporting institutions to facilitate innovation and performance.

Originality/value

This study contributes the literature of disruptive innovation by uncovering the positive effect of disruptive innovation and firm performance and the mediating effects of innovation speed and innovation quality on the abovementioned relationship, and revealing their contingency effects of market-supporting institutions.

Details

European Journal of Innovation Management, vol. 26 no. 3
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 22 February 2024

Yumeng Feng, Weisong Mu, Yue Li, Tianqi Liu and Jianying Feng

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new…

Abstract

Purpose

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

Design/methodology/approach

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

Findings

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Practical implications

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

Originality/value

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 20 March 2024

Jinwei Lv, Bing Liu and Li Chai

Urbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various…

Abstract

Purpose

Urbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption.

Design/methodology/approach

We employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018.

Findings

The results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas.

Originality/value

This paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.

Details

China Agricultural Economic Review, vol. 16 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 14 April 2023

Shailesh Rastogi and Jagjeevan Kanoujiya

This study aims to determine the mutual association between the volatility of macroeconomic indicators (MIs) and India’s tourism demand.

Abstract

Purpose

This study aims to determine the mutual association between the volatility of macroeconomic indicators (MIs) and India’s tourism demand.

Design/methodology/approach

Bivariate generalized autoregressive conditional heteroscedasticity (GARCH) models are applied to estimate the volatility spillover effect (VSE) from one market to another. Compared to the other methods, bivariate GARCH has wide acceptance for estimating the VSE. The monthly MIs and tourism demand data (2012–2021) are gathered for empirical analysis.

Findings

The evidence of the growth-led tourism (GLT) demand is seen. In the short term, tourism-led growth (TLG) is indicated. However, this TLG does not sustain itself in the long run. There is significant evidence in favour of the VSE from the MIs to the tourism demand ensuring GLT in India.

Practical implications

The main implication of the current study is to ignore the short-term influence of tourism demand on the economy because it does not sustain itself in the long run. However, the long-term influence of macroeconomic indicators on tourism demand should be seen with caution. Hedging, if possible, may be considered to protect the tourism sector’s interests from adverse economic fallouts.

Originality/value

There is a lack of studies on the volatility (especially on the VSE) between MIs and tourism demand. Hence, this study fills the research gap and presents a novel and unique contribution to the extent of the knowledge body on the topic and significantly contributes.

设计/方法论/方法

双变量GARCH模型用于估计从一个市场到另一个市场的波动溢出效应(VSE)。与其他方法相比, 双变量GARCH在估计波动溢出效应时得到了广泛的接受。收集2012-2021年的月度管理信息系统和旅游需求数据进行实证分析。

目的

该研究旨在确定宏观经济指标(MIs)的波动与印度旅游需求之间的相互关系。

研究发现

GLT(增长主导的旅游需求)的证据显而易见。从短期来看, 旅游导向型增长(TLG)可行。然而, 这种旅游导向型增长并不能长期维持下去。有重要的证据支持印度管理信息系统到旅游导向型增长的旅游需求波动溢出效应。

实际意义

当前研究的主要启示是忽略了旅游需求对经济的短期影响, 因为从长远来看, 它无法自我维持。然而, 宏观经济指标对旅游需求的长期影响应谨慎看待。如有可能, 可考虑对冲, 以保护旅游业的利益不受不利的经济影响。

创意/价值

目前对管理信息需求与旅游需求之间的波动(尤其是波动溢出效应)的研究较少。因此, 本研究填补了这个研究空白, 并对该主题知识体系的内容呈现新颖而独特的促进作用, 有显著的贡献作用。

Diseño/metodología/enfoque

Los modelos GARCH bivariantes se aplican para estimar el efecto indirecto de la volatilidad (VSE) de un mercado a otro. En comparación con otros métodos, el GARCH bivariante goza de gran aceptación para estimar el VSE. Para el análisis empírico se recopilan los MI mensuales y los datos de demanda turística (2012–2021).

Objetivo

El estudio se centra en medir la relación mutua entre la volatilidad de los indicadores macroeconómicos (MI) y la demanda turística de la India.

Conclusiones

Se observan indicios de GLT (demanda turística impulsada por el crecimiento). A corto plazo, se evidencia el TLG (crecimiento impulsado por el turismo). Sin embargo, este TLG no se mantiene a largo plazo. Existen pruebas significativas a favor del VSE de los MI a la demanda turística que garantizan el GLT en India.

Implicaciones prácticas

La principal implicación del presente estudio es desestimar la influencia a corto plazo de la demanda turística en la economía porque no se sostiene a largo plazo. Sin embargo, la influencia a largo plazo de los indicadores macroeconómicos en la demanda turística debe considerarse con cautela. Por ello, la cobertura de riesgos puede plantearse para proteger los intereses del sector turístico de las repercusiones económicas adversas.

Originalidad/valor

Existe una carencia de estudios sobre la volatilidad (especialmente en el VSE) entre los MI y la demanda turística. En consecuencia, este estudio realiza una aportación investigadora mediante una contribución novedosa y única en la ampliación del conocimiento sobre el tema de análisis.

Article
Publication date: 13 February 2024

Yanghong Li, Yahao Wang, Yutao Chen, X.W. Rong, Yuliang Zhao, Shaolei Wu and Erbao Dong

The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high…

Abstract

Purpose

The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high load-carrying capacity and dexterity of the robot; on the other hand, the fully autonomous mode is uncontrollable and the teleoperation mode has a high failure rate. Therefore, this study aims to design a distribution network operation robot named Sky-Worker to solve the above two problems.

Design/methodology/approach

The heterogeneous arms of Sky-Worker are driven by hydraulics and electric motors to solve the contradiction between high load-carrying capacity and high flexibility. A human–robot collaborative shared control architecture is built to realize real-time human intervention during autonomous operation, and control weights are dynamically assigned based on energy optimization.

Findings

Simulations and tests show that Sky-Worker has good dexterity while having a high load capacity. Based on Sky-Worker, multiuser tests and practical application experiments show that the designed shared-control mode effectively improves the success rate and efficiency of operations compared with other current operation modes.

Practical implications

The designed heterogeneous dual-arm distribution robot aims to better serve distribution line operation tasks.

Originality/value

For the first time, the integration of hydraulic and motor drives into a distribution network operation robot has achieved better overall performance. A human–robot cooperative shared control framework is proposed for remote live-line working robots, which provides better operation results than other current operation modes.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 22 May 2023

Mi Zhou, Bo Meng and Weiguo Fan

The current study aims to investigate the factors that impact the feedback received on answers to questions in social Q&A communities and whether the expertise-required question…

Abstract

Purpose

The current study aims to investigate the factors that impact the feedback received on answers to questions in social Q&A communities and whether the expertise-required question influences the role of these factors on the feedback.

Design/methodology/approach

To understand the antecedents and consequences that influence the feedback received on answers to online community questions, the elaboration likelihood model (ELM) is applied in this study. The authors use web data crawling methods and a combination of quantitative analyses. The data for this study came from Zhihu; in total, 353,775 responses were obtained to 1,531 questions, ranging from 49 to 23,681 responses per question. Each answer received 0 to 113,892 likes and 0 to 6,250 comments.

Findings

The answers' cognitive and emotional components and the answerer's influence positively affect user feedback behavior. In addition, the expertise-required question moderates the effects of the answer's cognitive component and emotional component on the user feedback, moderating the effects of the answerer's influence on the user approval feedback.

Originality/value

This study builds upon a limited yet growing body of literature on a theme of great relevance to scholars, practitioners and social media users concerning the effects of the connotation of answers (i.e. their cognitive and emotional components) and the answerer's influence on user feedback (i.e. approval and collaborative feedback) in social Q&A communities. The authors further consider the moderating role of the domain expertise required by the question (expertise-required question). The ELM model is applied to explore the relationships between questions, answers and feedback. The findings of this study add a new perspective to the research on user feedback and have implications for the management of social Q&A communities.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 6 December 2022

Sobiya Manzoor, Syed Zameer Hussain, Tawheed Amin, Omar Bashir, Bazila Naseer, Abida Jabeen, Ufaq Fayaz, Naseh Nisar, Aarizoo Mushtaq, Monisa Yousouf, Zahida Naseem and Uzznain Khan

The purpose of this article was to highlight the various methods of extrusion technologies for encapsulation of bioactive components (BACs).

Abstract

Purpose

The purpose of this article was to highlight the various methods of extrusion technologies for encapsulation of bioactive components (BACs).

Design/methodology/approach

BACs provide numerous health-care benefits; however, downsides, including a strong effect of organoleptic properties by reason of the bitterness and acridity of a few components, and also a short shelf-life, limit their application in food. The food industry is still demanding complicated qualities from food ingredients, which were often impossible to obtain without encapsulation such as stability, delayed release, thermal protection and an acceptable sensory profile. Various techniques such as melt injection extrusion, hot-melt extrusion, electrostatic extrusion, co-extrusion and particles from gas-saturated solutions, could be used for maintaining these characteristics.

Findings

Extrusion technology has been well used for encapsulation of bioactive chemicals in an effort to avoid their numerous downsides and to boost their use in food. The count of BACs that could be encapsulated has risen owing to the extrusion technology just as form of encapsulation. Extrusion technique also aids in the devaluation of the fragment size of encapsulated BACs, allowing for greater application in the food business.

Originality/value

The study reported that encapsulating BACs makes them more stable in both the product itself and in the gastrointestinal tract, so using encapsulated BACs would result in a product with stronger preventive properties.

Details

Nutrition & Food Science , vol. 53 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

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