Shi Zhao, Tien-Fu Lu, Larissa Statsenko, Benjamin Koch and Chris Garcia
In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore…
Abstract
Purpose
In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore grade. However, tracing ore grade at ROM stockpiles accurately using most current fleet management systems is challenging, due to insufficient information available in real time. This study aims to build a three-dimensional (3D) model for ROM stockpiles continuously based on fine-grained grade information through integrating data from a number of ore grade tracking sources.
Design/methodology/approach
Following a literature review, a framework for a new stockpile management system is proposed. In this system, near real-time high-resolution 3D ROM stockpile models are created based on dump/load locations measured from global positioning system sensors. Each stockpile model contains a group of layers which are separated by different qualities.
Findings
Acquiring the geometric shapes of all the layers in a stockpile and cuts made by front wheel loaders provides a better understanding about the quality and quality distribution within a stockpile when it is stacked/reclaimed. Such a ROM stockpile model can provide information on predicating ore blend quality with high accuracy and high efficiency. Furthermore, a 3D stockyard model created based on such ROM stockpile models can help organisations optimise material flow and reduce the cost.
Research limitations/implications
The modelling algorithm is evaluated using a laboratory scaled stockpile at this stage. The authors expect to scan a real stockpile and create a reference model from it. Meanwhile, the geometric model cannot represent slump or collapse during reclaiming faithfully. Therefore, the model is expected to be reconcile monthly using laser scanning data.
Practical implications
The proposed model is currently translated to the operations at OZ Minerals. The use of such model will reduce the handling costs and improve the efficiency of existing grade management systems in the mining industry.
Originality/value
This study provides a solution to build a near real-time high-resolution multi-layered 3D stockpile model through using currently available information and resources. Such novel and low-cost stockpile model will improve the production rates with good output product quality control.
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Kwadwo Asante, Petr Novak and Michael Adu Kwarteng
Environmental sustainability orientation has emerged to drive firms into eco-friendly production. Yet, the consequence of this new strategic thinking on firms’ green innovations…
Abstract
Environmental sustainability orientation has emerged to drive firms into eco-friendly production. Yet, the consequence of this new strategic thinking on firms’ green innovations, especially small- and medium-scale enterprises (SMEs), remains unresolved. Recognizing that the connection between environmental sustainability orientation and green innovation may not always be direct, the study theorizes that dynamic capability and entrepreneurial orientation may form part of the boundary conditions that strengthen its effect on small enterprises’ green innovation. The study adjoins the dynamic capability theory with the entrepreneurial orientation theory to test this relationship among small businesses within a developing economy. Results from the partial least squares–structural equation modeling (PLS-SEM) suggest that environmental sustainability orientation will result in green innovation when the SME’s dynamic capability can develop a creative reconfiguration of knowledge and new distinctive resources to support this new strategic direction. Similarly, findings from the study suggest that environmental sustainability orientation will translate into better green innovation outcomes when the SME entrepreneurial orientation has a solid attraction to protect the ecosystem and does not perceive green innovation as a risky enterprise.
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Gerald Feldman, Hanifa Shah, Craig Chapman and Ardavan Amini
Enterprise systems (ES) upgrade is a complex undertaking that recurs throughout the systems’ life span, therefore, organisations need to adopt strategies and methodologies that…
Abstract
Purpose
Enterprise systems (ES) upgrade is a complex undertaking that recurs throughout the systems’ life span, therefore, organisations need to adopt strategies and methodologies that can minimise disruptions and risks associated with upgrades. The purpose of this paper is to explore the processes undertaken during upgrading ES, to identify the upgrade project stages.
Design/methodology/approach
This research is grounded in a qualitative survey approach, and utilises a web-based survey questionnaire and semi-structured interviews as methods for data collection. The data were gathered from 41 respondents’ and analysed using qualitatively inductive content analysis principles to derive meaning and to identify the trends about upgrade processes.
Findings
The study findings stress the importance of adopting a methodical approach to ES upgrades. Also, it suggests that due consideration should be given to the impact of new version features and functionality, the risks and the effort required for supporting upgrade projects.
Research limitations/implications
The five-stage upgrade process model can be utilised as a strategy to minimise complexity and risks associated with upgrade projects. However, this study only proposes logical generalisations; therefore, future studies could explore these stages in-depth to offer generalisable arguments applicable to ES upgrade phenomenon.
Originality/value
The study proposes a five-stage upgrade process model that offers a systematic approach to support upgrade projects. The proposed model extends previous models by proposing alternative strategies to support ES upgrade projects.
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Castillo Juan Marcos, Guerra de Castillo Zoila Yadira, Arosemena Pablo Alcides and Kelso Ada Carolina
Since the sixteenth century, Panama has been an important logistic node for communication between South America, North America, and Europe for trade and load transit. Panama ports…
Abstract
Since the sixteenth century, Panama has been an important logistic node for communication between South America, North America, and Europe for trade and load transit. Panama ports move more than 700 million tons per year while Panama Canal moves 325,428,407 tons, according the statistics of 2014. Most of the maritime cargo moved through Panama is transit and transshipment cargo. Consequently, and due to the geographical position and future opportunities based on the expansion of the Panama Canal, Panama could be a strategic hub of global trade flows. This is an opportunity to develop value-added logistics services (VALS) in Panama Canal. Thus, this research aims to present a preliminary analysis of VALS industry in Panama, identifying critical variables that could enhance these services. This is a survey-based research, using interviews with the main suppliers of VALS in Panama and some of their customers. The methodology applied to analyze the data is means-end value hierarchy model (MEVHM), which was used to understand VALS industry in Panama and identify what is valuable to customers. Results showed that each VALS provider serves a mean of 20 companies, 22% of them are national clients while 78% are international clients, which recognized the geographical position as their main reason to work with logistics experts from Panama. Furthermore, 92% of them were very satisfied or satisfied with the service received. Main VALS in Panama are labeling, tagging, and packaging. In contrast, areas to be improved are customs procedures, national logistics processes, product’s traceability, competitive prices, and human resources training.
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Many companies have now built brand fan pages (BFPs) on social media platforms to connect with their existing and potential customers. Nevertheless, the inability to retain…
Abstract
Purpose
Many companies have now built brand fan pages (BFPs) on social media platforms to connect with their existing and potential customers. Nevertheless, the inability to retain existing followers would severely threaten the survival of BFPs and the effectiveness of a company's social media strategies. Drawing upon Furneaux and Wade's discontinuance framework, our study develops a research model to understand the BFP user's intention to discontinue following a BFP.
Design/methodology/approach
An empirical study was conducted through an online survey of Chinese social media users. The proposed model was tested by analyzing the collected data using the partial least squares structural equation modeling (PLS-SEM) approach.
Findings
The results reveal that dissatisfaction with information quality, unfollowing costs, trust and alternative attractiveness affect the individual's intention to unfollow a BFP. Notably, unfollowing costs is the most powerful factor to predict followers' propensity to discontinue.
Originality/value
Our study contributes to the understanding of the discontinuance of information systems. Theoretical implications for future social commerce research as well as practical suggestions for BFP operators are also discussed.
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Ai Yue, Bin Tang, Yaojiang Shi, Jingjing Tang, Guanminjia Shang, Alexis Medina and Scott Rozelle
The purpose of this paper is to describe the policy and trends in rural education in China over the past 40 years; and also discuss a number of challenges that are faced by…
Abstract
Purpose
The purpose of this paper is to describe the policy and trends in rural education in China over the past 40 years; and also discuss a number of challenges that are faced by China’s rural school system.
Design/methodology/approach
The authors use secondary data on policies and trends over the past 40 years for preschool, primary/junior high school, and high school.
Findings
The trends over the past 40 years in all areas of rural schooling have been continually upward and strong. While only a low share of rural children attended preschool in the 1980s, by 2014 more than 90 percent of rural children were attending. The biggest achievement in compulsory education is that the rise in the number of primary students that finish grade 6 and matriculate to junior high school. There also was a steep rise of those going to and completing high school. While the successes in upscaling rural education are absolutely unprecedented, there are still challenges.
Research limitations/implications
This is descriptive analysis and there is not causal link established between policies and rural schooling outcomes.
Practical implications
The authors illustrate one of the most rapid rises of rural education in history and match the achievements up with the policy efforts of the government. The authors also explore policy priorities that will be needed in the coming years to raise the quality of schooling.
Originality/value
This is the first paper that documents both the policies and the empirical trends of the success that China has created in building rural education from preschool to high school during the first 40 years of reform (1978-2018). The paper also documents – drawing on the literature and the own research – the achievements and challenges that China still face in the coming years, including issues of gender, urbanization, early childhood education and health and nutrition of students.
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Xinghua Shan, Xiaoyan Lv, Jinfei Wu, Shuo Zhao and Junfeng Zhang
Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid…
Abstract
Purpose
Revenue management (RM) is a significant technique to improve revenue with limited resources. With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China, it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.
Design/methodology/approach
This paper proposes the theory and framework of generalized RM of railway passenger transport (RMRPT), and the thoughts and methods of the main techniques in RMRPT, involving demand forecasting, line planning, inventory control, pricing strategies and information systems, are all studied and elaborated. The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT. The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.
Findings
The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.
Originality/value
The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.
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Hongying Zhao and Christian Wagner
The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform…
Abstract
Purpose
The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform, with customer type included to determine moderating effects. Three types of user experience are considered: information experience, entertainment experience and parasocial-relationship-based experience.
Design/methodology/approach
This study collected 458 valid questionnaires from TikTok users, employing the structural equation modeling approach to examine the proposed research model.
Findings
Information experience, entertainment experience and parasocial-relationship-based experience are found to critically stimulate user commitment to the influencer and commitment to the platform, in turn driving TikTok-based purchase intention. Tests incorporating customer type reveal that commitment to the influencer more strongly influences the purchase intention of repeat customers, with commitment to the platform more likely to stimulate purchase intention among potential customers.
Research limitations/implications
On a theoretical level, the paper is among the first to examine TikTok-based user purchase intention with customer type as a moderator. On a practical level, the results can guide marketers to effectively promote products using TikTok and inspire TikTok managers to develop customized strategies to stimulate initial and repeat sales.
Originality/value
TikTok is moving to the stage of commercialization and monetization by introducing e-commerce features. Although this move should cultivate particularly fertile ground for companies to sell products, TikTok user purchase behavior has yet to receive sufficient research attention, with little currently known about their purchase motivations. The current study uncovers the significant antecedents of users' purchase intention through TikTok, and further reveals the motivational differences among potential and repeat customers.
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Abstract
Purpose
Under the constraints of given passenger service level and coupling travel demand with train departure time, this study optimizes the train operational plan in an urban rail corridor to minimize the numbers of train trips and rolling stocks considering the time-varying demand of urban rail passenger flow.
Design/methodology/approach
The authors optimize the train operational plan in a special network layout, i.e. an urban rail corridor with dead-end terminal yard, by decomposing it into two sub-problems: train timetable optimization and rolling stock circulation optimization. As for train timetable optimization, the authors propose a schedule-based passenger flow assignment method, construct the corresponding timetabling optimization model and design the bi-directional coordinated sequential optimization algorithm. For the optimization of rolling stock circulation, the authors construct the corresponding optimization assignment model and adopt the Hungary algorithm for solving the model.
Findings
The case study shows that the train operational plan developed by the study's approach meets requirements on the passenger service quality and reduces the operational cost to the maximum by minimizing the numbers of train trips and rolling stocks.
Originality/value
The example verifies the efficiency of the model and algorithm.