Ganjar Alfian, Muhammad Fazal Ijaz, Muhammad Syafrudin, M. Alex Syaekhoni, Norma Latif Fitriyani and Jongtae Rhee
The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The…
Abstract
Purpose
The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.
Design/methodology/approach
In order to extract customer behavior patterns, customers’ browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in different locations, so that customers could have the experience of browsing and buying a product. Second, the real-time data processing system gathered customers’ browsing history and transaction data as it occurred. In addition, the authors utilized the association rule to extract useful information from customer behavior, so it may be used by the managers to efficiently enhance the service quality.
Findings
First, as the number of customers and DS increases, the proposed system was capable of processing a gigantic amount of input data conveniently. Second, the data set showed that as the number of visit and shopping duration increases, the chance of products being purchased also increased. Third, by combining purchasing and browsing data from customers, the association rules from the frequent transaction pattern were achieved. Thus, the products will have a high possibility to be purchased if they are used as recommendations.
Research limitations/implications
This research empirically supports the theory of association rule that frequent patterns, correlations or causal relationship found in various kinds of databases. The scope of the present study is limited to DSOS, although the findings can be interpreted and generalized in a global business scenario.
Practical implications
The proposed system is expected to help management in taking decisions such as improving the layout of the DS and providing better product suggestions to the customer.
Social implications
The proposed system may be utilized to promote green products to the customer, having a positive impact on sustainability.
Originality/value
The key novelty of the present study lies in system development based on big data technology to handle the enormous amounts of data as well as analyzing the customer behavior in real time in the DSOS. The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is used to handle the vast amount of customer behavior data. In addition, the present study proposed association rule to extract useful information from customer behavior. These results can be used for promotion as well as relevant product recommendations to DSOS customers. Besides in today’s changing retail environment, analyzing the customer behavior in real time in DSOS helps to attract and retain customers more efficiently and effectively, and retailers can get a competitive advantage over their competitors.
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Shao-Ming Xie and Chun-Yao Huang
Predicting the inactivity and the repeat transaction frequency of a firm's customer base is critical for customer relationship management. The literature offers two main…
Abstract
Purpose
Predicting the inactivity and the repeat transaction frequency of a firm's customer base is critical for customer relationship management. The literature offers two main approaches to such predictions: stochastic modeling efforts represented by Pareto/NBD and machine learning represented by neural network analysis. As these two approaches have been developed and applied in parallel, this study systematically compares the two approaches in their prediction accuracy and defines the relatively appropriate implementation scenarios of each model.
Design/methodology/approach
By designing a rolling exploration scheme with moving calibration/holdout combinations of customer data, this research explores the two approaches' relative performance by first utilizing three real world datasets and then a wide range of simulated datasets.
Findings
The empirical result indicates that neither approach is dominant and identifies patterns of relative applicability between the two. Such patterns are consistent across the empirical and the simulated datasets.
Originality/value
This study contributes to the literature by bridging two previously parallel analytical approaches applicable to customer base predictions. No prior research has rendered a comprehensive comparison on the two approaches' relative performance in customer base predictions as this study has done. The patterns identified in the two approaches' relative prediction performance provide practitioners with a clear-cut menu upon selecting approaches for customer base predictions. The findings further urge marketing scientists to reevaluate prior modeling efforts during the past half century by assessing what can be replaced by black boxes such as NNA and what cannot.
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Kamran Hyder Malik, Hazri Jamil, Aziah Ismail, Gul Muhammad Rind and Sobia Bhutto
The purpose of this empirical study is to examine prospective teachers' international mindedness and intercultural competence, grounded in sociocultural theory. The research aims…
Abstract
Purpose
The purpose of this empirical study is to examine prospective teachers' international mindedness and intercultural competence, grounded in sociocultural theory. The research aims to understand the factors that foster these traits in prospective teachers and their significance in promoting competence in culturally diverse environments.
Design/methodology/approach
The study utilized structured equation modeling with maximum likelihood estimation to analyze data from 425 participants of two higher education institutions. The participants were selected through simple random probability sampling. This methodology allowed the researchers to explore the relationship between international mindedness and intercultural competence in prospective teachers.
Findings
The results of the study demonstrated a positive correlation between international mindedness and intercultural competence in prospective teachers. The findings suggest that by cultivating international mindedness, educators can enhance their intercultural competence, thereby fostering more effective interactions in diverse settings.
Practical implications
The present research holds practical implications for teacher education programs and higher education institutions. By understanding how international mindedness impacts intercultural competence, educators can implement targeted interventions and training to nurture these traits among prospective teachers. This can lead to the creation of culturally inclusive learning environments, promoting mutual respect and appreciation of diversity among students.
Originality/value
The originality of this study lies in its investigation of the link between international mindedness and intercultural competence in the context of prospective teachers enrolled in B.Ed. program in higher education institution. By establishing a causal relationship between these traits, the research adds to the understanding of how teachers can be prepared to engage effectively in culturally diverse classrooms. The findings hold value for educators and policymakers seeking to improve teaching practices and foster global citizenship among future educators and their students.
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Tsung-Sheng Chang and Dong-Yih Bau
eXplainable artificial intelligence (XAI) is an evaluation framework that allows users to understand artificial intelligence (AI) processes and increases the reliability of…
Abstract
Purpose
eXplainable artificial intelligence (XAI) is an evaluation framework that allows users to understand artificial intelligence (AI) processes and increases the reliability of AI-produced results. XAI assists managers in making better decisions by providing transparency and interpretability in AI systems. This study explores the development of XAI in business management research.
Design/methodology/approach
This study collects and analyzes business management research related to XAI using common management keywords as the basis. We used the success/failure system to explore its research guidelines XAI in business management.
Findings
The study found significant growth in XAI research within business management. This research will be discussed from various management disciplinary perspectives to help scholars understand the current research directions. Additionally, we utilize a success/failure system to explore how this theory can be applied to artificial intelligence and business management research.
Originality/value
The success/failure system offers a comprehensive framework encompassing the evolution of the cosmos, nature, and ecology. This theory can offer valuable insights for business management in XAI and competitive societies, governments, and enterprises, enabling them to formulate effective strategies for the future.
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Mudofir Mudofir, Septin Puji Astuti, Nurwulan Purnasari, Sabariyanto Sabariyanto, Komali Yenneti and Deinsam Dan Ogan
The purpose of this research is to analyse the development and implementation of waste-to-energy (WtE) power plants as a strategy to manage municipal solid waste (MSW) in…
Abstract
Purpose
The purpose of this research is to analyse the development and implementation of waste-to-energy (WtE) power plants as a strategy to manage municipal solid waste (MSW) in Indonesia. It aims to identify key determinants for the successful adoption of WtE technology in developing countries, focusing on the Benowo WtE power plant, Indonesia’s first large-scale WtE project.
Design/methodology/approach
This study reviews the development of the Benowo WtE power plant, examining political, regulatory and financial factors influencing its implementation. It analyses the roles of national and local government institutions, highlighting critical elements for the successful deployment of WtE projects in a developing country context.
Findings
The review shows that the success of WtE projects in Indonesia is significantly influenced by strong local government commitment, supported by political, financial and regulatory backing from the national government. The Benowo WtE power plant’s development demonstrates that with adequate support, WtE can be a viable solution for managing MSW and generating energy in developing countries. The study also identifies barriers to broader WtE adoption in similar contexts.
Research limitations/implications
The study is limited to 12 WtE projects in Indonesia, with in-depth analysis focused on a single case, potentially overlooking challenges and opportunities in other regions. Furthermore, the study does not include an economic analysis, such as a feasibility assessment. Future research could expand to multiple WtE projects and incorporate primary data collection to provide more comprehensive findings, including feasibility studies of each project.
Practical implications
The findings provide practical guidance for policymakers and stakeholders in developing countries, identifying critical areas for successful WtE deployment and offering a blueprint based on the Benowo WtE power plant.
Social implications
Implementing WtE projects can improve waste management, reduce pollution, enhance public health, create jobs and stimulate local economies. The study underscores the importance of government and community collaboration in addressing environmental challenges and fostering shared responsibility.
Originality/value
This research offers novel insights into WtE technology development in a developing country, specifically focusing on Indonesia’s first large-scale WtE power plant. By analysing the Benowo WtE power plant, the study provides valuable lessons and strategies for other developing nations aiming to adopt WtE solutions for MSW management, emphasising the critical role of government support.
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Marinette Jeutho Gouajio, Pascalin Tiam Kapen and David Yemele
The purpose of this paper is to evaluate the wind energy potential of Mount Bamboutos in Cameroon by comparing nine numerical methods in determining Weibull parameters for the…
Abstract
Purpose
The purpose of this paper is to evaluate the wind energy potential of Mount Bamboutos in Cameroon by comparing nine numerical methods in determining Weibull parameters for the installation of a sustainable wind farm.
Design/methodology/approach
By using statistical analysis, the analysis of shape and scale parameters, the estimation of the available wind power density and wind direction frequency distributions, the objective of this paper is to compare nine numerical methods in estimating Weibull parameters for the installation of a sustainable wind farm in Mount Bamboutos, Cameroon.
Findings
The results suggested that the minimum and maximum values of the standard deviation occurred in the months of May and November 2016, respectively. The graphical method appeared to be the most effective method with the maximum value of variance and minimum values of chi-square and RMSE. The scale factor parameter values indicated that Mount Bamboutos hills were a potential site for electricity generation. The analysis of wind power density showed that it reached the maximum and minimum values in February and September, respectively. The wind direction frequency distributions showed that the prevailing wind directions were North-East.
Originality/value
The wind energy potential of Mount Bamboutos in Cameroon was performed by using nine numerical methods. Therefore, it could be effective to have a prediction model for the wind speed profile. The analysis of wind power density showed that it reached the maximum and minimum values in February and September, respectively. The wind direction frequency distributions showed that the prevailing wind directions were North-East.
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Mahsina Mahsina, Dian Agustia, Damai Nasution and Wiwiek Dianawati
This study aims to investigate the direct relationship between audit committee effectiveness and sustainability performance and the mediating role of risk management in the…
Abstract
Purpose
This study aims to investigate the direct relationship between audit committee effectiveness and sustainability performance and the mediating role of risk management in the relationship between audit committee effectiveness and firm sustainability performance.
Design/methodology/approach
The Hayes Process regression mediation model was used in this study. The data included 2,590 firm-year observations from 518 publicly non-banking and finance companies on the Indonesia Stock Exchange from 2017 to 2021.
Findings
This study proves the important role of risk management in mediating the effect of audit committee effectiveness on firm sustainability performance. Audit committee effectiveness was found to positively and significantly affect risk management. However, the effect of audit committee effectiveness on firm sustainability performance was statistically insignificant. The robustness checks and additional tests support all the main regression results.
Research limitations/implications
Sample firms from Indonesia were used as representatives of developing countries. Further research may use more sample firms from multiple countries or provide a comparative study between firms in different countries.
Practical implications
The authority must enhance the audit committee’s role in risk management quality due to the indirect effect between the audit committee and sustainability disclosure. It should also expand the audit committee’s role to include sustainability disclosure.
Social implications
This study could increase community awareness of firm sustainability. Where a company is required to provide more eco-products, stakeholders are, therefore, expected to have more equal concerns.
Originality/value
To the best of the authors’ knowledge, this study is the first to examine risk management as a mediator of the effect of audit committee effectiveness on firm sustainability performance.