Venessa Chan Lyu, José Luis Roldán, Wynne Chin, Vincent Liu and Congdong Li
Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of…
Abstract
Purpose
Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and image.
Design/methodology/approach
This study developed and tested a model through a survey with 365 responses, which was carried out in China. The measurement and effects of restaurant–supplier co-creation are explored using composite-based structural equation modeling.
Findings
The results show that restaurant–supplier co-creation has a positive effect on perceptions of food value, service value and image. Though restaurant–supplier co-creation does not directly affect behavioral intention, it can enhance behavioral intention by improving customers' impressions.
Originality/value
This study contributes to the emerging literature by conceptualizing the role of restaurant–supplier co-creation. The research combines image theory and perceived value theory in one empirical model to explore the effects of co-creation. The project provides a paradigm for designing technical artifacts using composite-based structural equation modeling.
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Vincent C. Liu and Brian H. Kleiner
Looks at the success of total quality management (TQM) and the principles of completeness. Considers the quality requirements and the performance standards as essential factors…
Abstract
Looks at the success of total quality management (TQM) and the principles of completeness. Considers the quality requirements and the performance standards as essential factors within a total quality plan and states that the adaptation of the theory to the particular industry is key to success. Looks at TQM in the medical and legal profession and suggests that the practice of implementation can be helped or hindered by outside influences such as the state of the business and the culture it possesses.
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The aim of this paper is to research grease and additives' influence on fretting wear of mild steel.
Abstract
Purpose
The aim of this paper is to research grease and additives' influence on fretting wear of mild steel.
Design/methodology/approach
Experiments were performed on a laboratory stand with contact conditions cylinder on flat. The mild steel couples were tested under dry conditions and lubricated with mineral and synthetic greases containing as additives: graphite, molybdenum disulphide, ZDDP and molybdenum dithiocarbamate in different concentrations.
Findings
The results revealed a significant influence of grease consistency and its welding load on the fretting wear of steel couples. Graphite and molybdenum disulphide were effective in a 10 percent concentration. ZDDP additive in a more than 1 percent concentration increased fretting wear. Molybdenum dithiocarbamate was not more effective than molybdenum disulphide powder. Grease lubrication of the fretted couple changed significantly the wear mechanism observed on SEM photographs of fretting scars.
Practical implications
The paper presents some indications of proper selection of grease for fretting prevention.
Originality/value
The influence of the main features of grease on fretting wear was confirmed on the basis of extensive investigation.
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G. Glenn Baigent and Vincent G. Massaro
The purpose of this paper is to examine the role of derivative securities in over‐pricing and market corrections.
Abstract
Purpose
The purpose of this paper is to examine the role of derivative securities in over‐pricing and market corrections.
Design/methodology/approach
Daily market data from major indices are used to determine if the market was over‐priced in 1987. Then, the literature is examined to show differences in research findings for what caused the bubble and its correction.
Findings
Evidence is found that there was a market bubble in 1987. Examples are provided of how portfolio insurance can lead to the aggregation of traders' idiosyncratic errors and to an increase in the use of leverage, both of which can cause over‐pricing.
Research limitations/implications
Although the analysis is limited to equity markets, the findings should stimulate further research on the relationship between derivatives and asset pricing. Theoretically, derivative prices should be a function of asset prices, but it could be argued that the relationship is symbiotic.
Practical implications
The findings may impact policy makers in establishing regulations regarding the use of derivatives. Moreover, asset managers may be able to better detect conditions of over‐pricing.
Originality/value
The paper demonstrates the important role of derivative securities in market prices.
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Lijie Guo, Daricia Wilkinson, Moses Namara, Karishma Patil and Bart P. Knijnenburg
The paper aims to develop and validate an instrument to measure users’ perceptions of online personalized advertising.
Abstract
Purpose
The paper aims to develop and validate an instrument to measure users’ perceptions of online personalized advertising.
Design/methodology/approach
First, we identified 12 different aspects of online personalized advertisement and formulated candidate items through a literature review. A card sorting study and expert review were conducted to generate the initial scale items. We then conducted one survey (n = 308) to create a reliable measurement instrument and another (n = 296) to validate the instrument. Finally, we tested how the dimensions of the OPAD-Perception Framework can be used to differentiate between different levels of ad sensitivity, control/no control over the ad personalization process, and different levels of granularity of ad explanation.
Findings
The resulting OPAD-Perception Framework contains 49 Likert-formatted questions measuring ten distinct dimensions of online personalized advertising: reliability, usefulness, transparency, interactivity, targeting accuracy, accountability, creepiness, willingness to rely on, self-actualization, and persuasion.
Originality/value
The OPAD-Perception Framework can serve as a powerful tool to measure users’ attitudes toward online personalized advertising. This will enable advertisers and social media platforms to better support users’ privacy expectations and provide user-friendly interfaces for controlling the ad personalization process.
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Fenglin Lü, Huabin Chen, Chongjian Fan and Shanben Chen
Quality control of arc welding process is the key component in robotic welding system. The purpose of this paper is to address vision‐sensing technology and model‐free adaptive…
Abstract
Purpose
Quality control of arc welding process is the key component in robotic welding system. The purpose of this paper is to address vision‐sensing technology and model‐free adaptive control (MFC) of weld pool size during automatic arc welding system.
Design/methodology/approach
The shape and size parameters for the weld pool are used to describe the weld pool geometry, which is specified by the backside weld width. The welding current and wire‐feeding speed are selected as the control variable, and the backside width of weld pool is selected as the controlled variable. To achieve the goal of full penetration and fine weld seam formation, a multiple input single output (MISO) MFC is designed for control of the backside pool width.
Findings
The research findings show that it is feasible to develop such a MISO MFC of weld pool size, which is independent on mathematic model of weld pool dynamics. And the control algorithm is simple to use and has a minimal computational burden.
Research limitations/implications
This is a work in progress. The controlled process results are mainly influenced by the period of competing control algorithm and image processing, which could be improved by the hardware and enhancing computation speed. The closed‐loop control is a two inputs‐one output system. Thus, the means by which the multiple input multiple output (MIMO) control method is applied to weld pool dynamics is work for the future.
Practical implications
The control system is applicable to automatic gas tungsten arc welding (GTAW).
Originality/value
The MISO MFC has been set up for automatic GTAW to overcome the nonlinear and uncertainty of GTAW process, in which two welding parameters can be adjusted simultaneously. In addition, this controller is independent on welding pool dynamic model.
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The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix composites…
Abstract
Purpose
The purpose of this study is to present a comprehensive review of the fundamental concepts and terminologies pertaining to different types of aluminium metal matrix composites, their joining techniques and challenges, friction stir welding (FSW) process, post-welding characterizations and basic control theory of FSW, followed by the discussions on the research reports in these areas.
Design/methodology/approach
Joining of aluminium metal matrix composites (Al-MMC) poses many challenges. These materials have their demanding applications in versatile domains, and hence it is essential to understand their weldability and material characteristics. FSW is a feasible choice for joining of Al-MMC over the fusion welding because of the formation of narrow heat affected zone and minimizing the formation of intermetallic compounds at weld interface. The goal in FSW is to generate enough thermal energy by friction between the workpiece and rotating tool. Heat energy is generated by mechanical interaction because of the difference in velocity between the workpiece and rotating tool. In the present work, a detailed survey is done on the above topics and an organised conceptual context is presented. A complete discussion on significance of FSW process parameters, control schemes, parameter optimization and weld quality monitoring are presented, along with the analysis on relation between the interdependent parameters.
Findings
Results from the study present the research gaps in the FSW studies for joining of the aluminium-based metal matrix composites, and they highlight further scope of studies pertaining to this domain.
Originality/value
It is observed that the survey done on FSW of Al-MMCs and their control theory give an insight into the fundamental concepts pertaining to this research area to enhance interdisciplinary technology exploration.
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Natalie M. Scala, Thais da Costa Lago Alves, Dominique Hawkins, Vincent Schiavone and Min Liu
This paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking…
Abstract
Purpose
This paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking process introduced by the MMCS fills a gap in the literature by supporting the selection of collaborative scheduling (CS) practices that yield more weight toward the achievement of higher maturity levels in the development and implementation of CS. The ranking process can then be used during pre/post project execution to track collaborative scheduling in practice against the model’s weighting and provide the project team with constructive feedback and actionable steps for reaching the next highest level of collaboration.
Design/methodology/approach
The MMCS, which focuses on five pillars (key areas of interest for CS) and related swim lanes (specific attributes), covers a broad range of areas in the construction industry and was coded into a survey. The relative weights of pillars and swim lanes were then established using the Delphi method with the group of subject matter experts (SMEs), analyzed using multi-objective decision analysis (MODA) and validated using 241 answers to a survey with questions drawn from the MMCS, including organizations across the industry in the United States.
Findings
The project scoring defines bounds for bronze, silver and gold levels of collaboration in scheduling. Project evaluations can then be used to identify areas for continuous improvement and enhanced collaboration. We offer recommendations and best practices for project improvement.
Originality/value
Two original contributions resulted from this work: (1) a method to elicit weights based on a combination of Delphi, MODA and survey methods was used to develop and validate a scale with three different maturity levels to support the use and continuous improvement of CS practices and (2) a validated model was used to assess the maturity level of CS in construction projects alongside specific recommendations to move upward in terms of maturity. In practice, project leaders can use this model to assess project performance, advance the project’s maturity and guide continuous improvement efforts for enhanced collaboration.
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Natalie M. Scala, Min Liu, Thais da Costa Lago Alves, Vincent Schiavone and Dominique Hawkins
The overall contribution of this work is to provide a usable maturity model for collaborative scheduling (CS) that extends the literature, identifies inconsistencies in schedule…
Abstract
Purpose
The overall contribution of this work is to provide a usable maturity model for collaborative scheduling (CS) that extends the literature, identifies inconsistencies in schedule development, and improves collaboration in the construction industry.
Design/methodology/approach
Via subject matter expert elicitation and focus groups, the maturity model establishes five pillars of collaboration—scheduling significance, planners and schedulers, scheduling representation, goal alignment with owner, and communication. The maturity model is then validated through iterative feedback and chi-squared statistical analysis of data obtained from a survey. The five pillars are tied to the literature and previous work in CS.
Findings
The analysis shows that current industry projects are not consistent in collaboration practice implementation, and the maturity model identifies areas for collaboration improvement. The study's contributions to the body of knowledge are (1) developing a maturity model-based approach to define and measure the current level of collaboration and (2) discovering the level of consistency in scheduling collaboration practice implementation.
Practical implications
The findings provide a benchmark for self-evaluation and peer-to-peer comparison for project managers. The model is also useful for project managers to develop effective strategies for improvement on targeted dimensions and metrics.
Originality/value
The construction engineering and management (CEM) literature does not contain targeted models for scheduling collaboration in the context of maturity and, broadly speaking, neither does the literature at large. The literature also lacks actionable items as presented for the maturity model for collaborative scheduling (MMCS).
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Jurui Zhang, Shan Yu, Raymond Liu, Guang-Xin Xie and Leon Zurawicki
This paper aims to explore factors contributing to music popularity using machine learning approaches.
Abstract
Purpose
This paper aims to explore factors contributing to music popularity using machine learning approaches.
Design/methodology/approach
A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.
Findings
The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.
Practical implications
The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.
Originality/value
While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.