Search results

1 – 10 of over 2000
Article
Publication date: 2 January 2024

Yanyan Li, Shanxing Gao and Ron Chi-Wai Kwok

The purpose of this study is to explore the relationship between nonmarket strategy and innovation performance, as well as the boundary factors that influence this relationship in…

Abstract

Purpose

The purpose of this study is to explore the relationship between nonmarket strategy and innovation performance, as well as the boundary factors that influence this relationship in the context of the pharmaceutical industry in emerging markets.

Design/methodology/approach

This study analyzed matched data of 227 Chinese pharmaceutical firms and two secondary databases with SPSS to examine the hypotheses.

Findings

Nonmarket strategy promotes the innovation performance. High level of firm internal knowledge utilization ability and strategic flexibility strengthens the effect of nonmarket strategy in promoting innovation performance, while information technology (IT) environment weakens the effect of nonmarket strategy in promoting innovation performance.

Originality/value

The research studies the positive impact of nonmarket strategy on innovation performance in the specific context of Chinese pharmaceutical industry, and it introduces the internal capabilities and external IT environment of the firm as moderators of the relationship between nonmarket strategy and innovation performance. More importantly, this research echoes the call for research on moderator of nonmarket strategy and identifies important boundary conditions. To the best of the authors’ knowledge, it also explores the impact of the IT environment on the implementation of nonmarket strategy for the first time, which deepens the research on nonmarket strategy’s effect on innovation.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 2 January 2024

Sadaf Razzaq and Naeem Akhtar

The study examines tourists' psychological and social risk and shared beliefs – devotion, concerns and entertainment – at a religious and cultural heritage destination. It also…

Abstract

Purpose

The study examines tourists' psychological and social risk and shared beliefs – devotion, concerns and entertainment – at a religious and cultural heritage destination. It also examines how shared beliefs impact tourists’ nostalgia. Further, it examines whether nostalgia affects choice deferral and revisit intentions. Finally, it investigates how moderation of place attachment strengthens the link between shared beliefs – devotion, concerns, entertainment and nostalgia.

Design/methodology/approach

The data were collected from 439 inbound tourists, with 272 completing online questionnaires and 167 participating in face-to-face survey. Data analysis was performed using Amos 24.0 and SPSS 25.0, employing structural equation modeling (SEM) and the PROCESS macro.

Findings

The findings suggest that perceived psychological and social risk negatively impacts tourists' shared beliefs – devotion, concerns and entertainment – which positively impacts nostalgia. Positive nostalgic association boosts revisit intention and hampers choice deferral. The data also show how strong place attachment strengthens the relationship between shared beliefs – devotion, concerns and entertainment – and tourists’ perceived nostalgia.

Research limitations/implications

This work contributes to information behavior using S-O-R theory. It analyzes the psychological and social risks of destination visits and how nostalgia affects shared beliefs and revisit intentions. Management and policymakers at destination enterprises can use the findings to design measures to enhance revisit intentions despite risk considerations.

Originality/value

Pakistan's destination tourism is underutilized amid its religious and cultural heritage significance. The literature has ignored how perceived psychological and social risk affects travelers' shared beliefs and nostalgic feelings. Thus, this study suggests and validates these linkages utilizing stimulus-organism-response (S-O-R) theory in Pakistan's unique environment with inbound tourists.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

Keywords

Article
Publication date: 12 September 2023

Jun-Hui Chai, Jun-Ping Zhong, Bo Xu, Zi-Jian Zhang, Zhengxiang Shen, Xiao-Long Zhang and Jian-Min Shen

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the…

Abstract

Purpose

The high-pressure accumulator has been widely used in the hydraulic system. Failure pressure prediction is crucial for the safe design and integrity assessment of the accumulators. The purpose of this study is to accurately predict the burst pressure and location for the accumulator shells due to internal pressure.

Design/methodology/approach

This study concentrates the non-linear finite element simulation procedure, which allows determination of the burst pressure and crack location using extensive plastic straining criterion. Meanwhile, the full-scale hydraulic burst test and the analytical solution are conducted for comparative analysis.

Findings

A good agreement between predicted and measured the burst pressure that was obtained, and the predicted failure point coincided very well with the fracture location of the actual shell very well. Meanwhile, the burst pressure of the shells increases with wall thickness, independent of the length. It can be said that the non-linear finite element method can be employed to predict the failure behavior of a cylindrical shell with sufficient accuracy.

Originality/value

This paper can provide a designer with additional insight into how the pressurized hollow cylinder might fail, and the failure pressure has been predicted accurately with a minimum error below 1%, comparing the numerical results with experimental data.

Details

International Journal of Structural Integrity, vol. 14 no. 6
Type: Research Article
ISSN: 1757-9864

Keywords

Open Access
Article
Publication date: 20 March 2024

Guijian Xiao, Tangming Zhang, Yi He, Zihan Zheng and Jingzhe Wang

The purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding…

Abstract

Purpose

The purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding and polishing of additive titanium alloy blades to ensure the surface integrity and machining accuracy of the blades.

Design/methodology/approach

At present, robot grinding and polishing are mainstream processing methods in blade automatic processing. This review systematically summarizes the processing characteristics and processing methods of additive manufacturing (AM) titanium alloy blades. On the one hand, the unique manufacturing process and thermal effect of AM have created the unique processing characteristics of additive titanium alloy blades. On the other hand, the robot grinding and polishing process needs to incorporate the material removal model into the traditional processing flow according to the processing characteristics of the additive titanium alloy.

Findings

Robot belt grinding can solve the processing problem of additive titanium alloy blades. The complex surface of the blade generates a robot grinding trajectory through trajectory planning. The trajectory planning of the robot profoundly affects the machining accuracy and surface quality of the blade. Subsequent research is needed to solve the problems of high machining accuracy of blade profiles, complex surface material removal models and uneven distribution of blade machining allowance. In the process parameters of the robot, the grinding parameters, trajectory planning and error compensation affect the surface quality of the blade through the material removal method, grinding force and grinding temperature. The machining accuracy of the blade surface is affected by robot vibration and stiffness.

Originality/value

This review systematically summarizes the processing characteristics and processing methods of aviation titanium alloy blades manufactured by AM. Combined with the material properties of additive titanium alloy, it provides a new idea for robot grinding and polishing of aviation titanium alloy blades manufactured by AM.

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2633-6596

Keywords

Article
Publication date: 26 February 2024

Ana Julia Grilló-Méndez, Mercedes Marzo-Navarro and Marta Pedraja-Iglesias

To identify the risks associated by consumers with renting clothes.

Abstract

Purpose

To identify the risks associated by consumers with renting clothes.

Design/methodology/approach

A descriptive research with a quantitative approach was carried out. First, the measurement models of the variables involved in the proposed model were validated. After verifying the existence of the variables, the resulting model was finally estimated through structural equation modelling.

Findings

The results obtained establish the six dimensions that make up the problems associated by consumers with the clothing rental business model. These problems encompass various types of risks: financial, physical, performance, psychosocial, inconsistency with values and lifestyle, as well as lack of trust in the service provider. The results obtained show that only inconsistency, financial risk and physical risk have a significant effect on attitude. These performance risks, together with the consumer's attitude towards renting, have a negative effect on the intention to rent.

Originality/value

Factors that have a negative effect on attitude have been studied less than the facilitators of attitude. This is the first study in Spain.

Practical implications

The results will help managers to understand the adoption behaviours of these models.

Social implications

This study helps understand the social innovation needed to change consumers' relationship to clothing.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1361-2026

Keywords

Article
Publication date: 11 September 2023

Zhongmei Zhang, Qingyang Hu, Guanxin Hou and Shuai Zhang

Vehicle companion is one of the most common companion patterns in daily life, which has great value to accident investigation, group tracking, carpooling recommendation and road…

Abstract

Purpose

Vehicle companion is one of the most common companion patterns in daily life, which has great value to accident investigation, group tracking, carpooling recommendation and road planning. Due to the complexity and large scale of vehicle sensor streaming data, existing work were difficult to ensure the efficiency and effectiveness of real-time vehicle companion discovery (VCD). This paper aims to provide a high-quality and low-cost method to discover vehicle companions in real time.

Design/methodology/approach

This paper provides a real-time VCD method based on pro-active data service collaboration. This study makes use of dynamic service collaboration to selectively process data produced by relative sensors, and relax the temporal and spatial constraints of vehicle companion pattern for discovering more potential companion vehicles.

Findings

Experiments based on real and simulated data show that the method can discover 67% more companion vehicles, with 62% less response time comparing with centralized method.

Originality/value

To reduce the amount of processing streaming data, this study provides a Service Collaboration-based Vehicle Companion Discovery method based on proactive data service model. And this study provides a new definition of vehicle companion through relaxing the temporal and spatial constraints for discover companion vehicles as many as possible.

Details

International Journal of Web Information Systems, vol. 19 no. 5/6
Type: Research Article
ISSN: 1744-0084

Keywords

Open Access
Article
Publication date: 4 August 2023

Christopher Amoah

In addressing the housing deficits for the less privileged citizens, the South African government began constructing social housing after coming to power in 1994. However, the…

Abstract

Purpose

In addressing the housing deficits for the less privileged citizens, the South African government began constructing social housing after coming to power in 1994. However, the construction of these houses is bedevilled with many issues; prominent among them are poor quality of the constructed houses. This study seeks to develop a quality management framework for achieving quality and efficiency in public-sector housing construction, a hallmark of the country's procurement goals.

Design/methodology/approach

Telephone interviews were conducted with construction professionals involved in constructing government social houses across South Africa, chosen randomly. The data gathered were analysed using the content analysis method.

Findings

The study found that the most significant cause of poor quality government-constructed social housing is multifaceted, categorised into project management-related, procurement-related, contractor-related, corruption-related and political-related.

Practical implications

Failure to develop and implement a quality management framework on government-constructed social housing leads to poor quality social housing.

Originality/value

The study has identified quality-related issues and has developed a Quality Management (QM) framework for the stakeholders involved in the construction of the houses to guide them in the project implementation process to ensure project success and quality standards.

Details

International Journal of Building Pathology and Adaptation, vol. 41 no. 6
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 30 January 2024

Shalini Srivastava, Deepti Pathak, Swati Soni and Abha Dixit

Utilising componential theory of creativity the study aims to examines the roles of green transformational leadership, organizational culture and green mindfulness as antecedents…

Abstract

Purpose

Utilising componential theory of creativity the study aims to examines the roles of green transformational leadership, organizational culture and green mindfulness as antecedents of green creativity.

Design/methodology/approach

A three-wave data collection method was used to collect data from the 304 hotel employees belonging to hotels located in the tourist’s location of India. The study used PROCESS macro to test the hypothesized model.

Findings

The results found a significant serial mediating effect of green organizational culture and green mindfulness for strengthening the association between green transformational leadership and green creativity.

Practical implications

The study establishes that a transformational leadership can bring about a much-needed green turnaround and thus makes significant practical contribution. As customers are becoming environmentally conscious, the industry can translate the green practices and motivate their subordinates by exhibiting the environmentally conscious behaviour and exhibit the same in their actions at work.

Originality/value

The current research work expands the body of literature on green transformational leadership and green creativity nexus in tourism and hospitality industry by exploring the boundary condition that increases the strength of this relationship.

Details

Journal of Organizational Change Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 21 October 2023

Alex Rudniy, Olena Rudna and Arim Park

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed…

Abstract

Purpose

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

Design/methodology/approach

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

Findings

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

Originality/value

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

Practical implications

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1361-2026

Keywords

Article
Publication date: 19 February 2024

Vahid Zahedi Rad, Abbas Seifi and Dawud Fadai

This paper aims to develop a causal feedback structure that explains the dynamics of entrepreneurship development in Iran’s photovoltaic (PV) technological innovation system (TIS…

Abstract

Purpose

This paper aims to develop a causal feedback structure that explains the dynamics of entrepreneurship development in Iran’s photovoltaic (PV) technological innovation system (TIS) to design effective policy interventions for fostering PV innovation.

Design/methodology/approach

This study adopts the system dynamics approach to develop the causal structure model. The methodology follows a systematic method to elicit the causal structure from qualitative data gathered by interviewing several stakeholders with extensive knowledge about different aspects of Iran’s PV TIS.

Findings

Lack of technological knowledge and financial resources within Iranian PV panel-producing firms are the main barriers to entrepreneurship development in Iran’s PV TIS. This study proposes two policy enforcement mechanisms to tackle these problems. The proposed feedback mechanisms contribute to the domestic PV market size and knowledge transfer from public research organizations to the PV industry.

Practical implications

The proposed policy mechanisms aid Iranian policymakers in designing effective policy interventions stimulating innovation in Iran’s PV industry.

Originality/value

The main contributions of this study include conceptualizing the causal structure capturing entrepreneurship dynamics in emerging PV TIS and proposing policy mechanisms fostering entrepreneurship and innovation in PV sectors.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

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