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Handling highly imbalanced data for classifying fatality of auto collisions using machine learning techniques Journal of Management Analytics (IF 3.6) Pub Date : 2024-08-12 Shengkun Xie, Jin Zhang
Accurate prediction of fatal events in car accidents has significant health management implications. This research article explores the application of imbalanced data handling techniques in machine...
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Emergency production of medical products: partial decentralization vs. complete decentralization Journal of Management Analytics (IF 3.6) Pub Date : 2024-08-05 Huaige Zhang, Yimeng He, Yuke Hu, Yeming Gong, Xianpei Hong, Li Zhang
In the emergency production of medical products, the supplier with raw materials is often the leader in the game and has the advantage of determining the supply chain structure. Previous research o...
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Using smart card data to develop origin-destination matrix-based business analytics for bus rapid transit systems: case study of Jakarta, Indonesia Journal of Management Analytics (IF 3.6) Pub Date : 2024-08-04 Meditya Wasesa, Mochammad Agus Afrianto, Fakhri Ihsan Ramadhan, Yos Sunitiyoso, Shimaditya Nuraeni, Utomo Sarjono Putro, Sri Hastuti
Bus rapid transit systems (BRT) have been an indispensable public transportation pillar, especially in densely populated regions. Accurate insight into the BRT network's utilization is vital in BRT...
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A review of big data analytics models for assessing non-pharmaceutical interventions for COVID-19 pandemic management Journal of Management Analytics (IF 3.6) Pub Date : 2024-07-30 Fatemeh Navazi, Yufei Yuan, Norm Archer
Before vaccine development during the COVID-19 pandemic, Non-Pharmaceutical Interventions (NPIs) were the only solutions to mitigate COVID-19 infections. Governments continued to use them even afte...
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Recognition of pulse-in-pulse modulation type of radar signal based on feature extraction Journal of Management Analytics (IF 3.6) Pub Date : 2024-06-17 Hui Li, Qinghua Hou, Hong Wang, Borong Zou, Ao Lou, Changwen Yuan
In order to solve the problem of identifying radar signal modulation types in a complex electromagnetic environment, this paper analyzes and evaluates some of the existing identification methods, s...
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Three-way decision TOPSIS for food business location under a benefit-opportunity-cost-risk platform Journal of Management Analytics (IF 3.6) Pub Date : 2024-05-28 Shawn Andre Scott, Celbert Himang, Rosein Ancheta , Jr., Fatima Maturan, Joerabell Lourdes Aro, Samantha Shane Evangelista, Nadine May Atibing, Lanndon Ocampo
This work holistically evaluates the factors that can aid decision makers in finding the optimal location for food businesses in developing economies. It integrates the analytic hierarchy process (...
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On modeling acquirer delisting post-merger using machine learning techniques Journal of Management Analytics (IF 3.6) Pub Date : 2024-05-20 Ephraim Kwashie Thompson, Changki Kim, So-Yeun Kim
We test the comparative ability of representative machine-learning algorithms – Logistic Regression, Random Forest Classifier, Adaboost Classifier and Multi-Layer Perceptron Classifier – to predic...
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Rating disclosure analysis: compensation reform consequence on counteracting biased credit ratings Journal of Management Analytics (IF 3.6) Pub Date : 2024-05-20 Kittiphod Charoontham, Kessara Kanchanapoom, Nartraphee Tancho, Jirawat Worakantak
This study analyzes a compensation reform proposal designed to prevent inaccurate ratings produced by credit rating agencies (CRAs). Specifically, the CRA’s incentive to exert effort to observe the...
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Big data analytics capabilities: direct and mediating relationships with innovative and business performance Journal of Management Analytics (IF 3.6) Pub Date : 2024-04-22 Omar León, David de la Fuente, Simon Fernandez-Vazquez, Javier Puente
This study examines the effect of key big data analytics capabilities (data, skills, technology, and culture) on innovation performance and business performance. Data were gathered from 91 companie...
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Dynamic pricing and replenishment policy under price, time, and service level-dependent demand and preservation investment Journal of Management Analytics (IF 3.6) Pub Date : 2024-03-07 Indrani Modak, Sudarshan Bardhan, Bibhas Chandra Giri
Time, price, and servicing are three important factors which affect the demand for any product. In a multi-period inventory model, different pricing in different periods may have a positive impact ...
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Financial and non-financial determinants of the indebtedness of hospitals. The case of Poland Journal of Management Analytics (IF 3.6) Pub Date : 2024-03-05 Katarzyna Miszczyńska, Elżbieta Antczak
The performance of Polish healthcare is still far from satisfactory, which is connected with growing indebtedness that adversely affects not only the development of healthcare but also the quality ...
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Dividend announcement and the value of sentiment analysis Journal of Management Analytics (IF 3.6) Pub Date : 2024-02-26 Susana Álvarez-Díez, J. Samuel Baixauli-Soler, Anna Kondratenko, Gabriel Lozano-Reina
Payout policy constitutes one of the most important corporate financial decisions since dividends are essential factors in determining a firm’s value. A dividend announcement generates a market sig...
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Self-organizing maps: a novel approach to identify and map business clusters Journal of Management Analytics (IF 3.6) Pub Date : 2024-02-08 Francis Bowen, Janaína Siegler
Business cluster identification is an essential topic for helping understand regional and global supply chains and establishing economic policies and logistics. This work aims to leverage the benef...
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Dynamic control of a firm’s process innovation with knowledge accumulation in a vertically differentiated monopoly Journal of Management Analytics (IF 3.6) Pub Date : 2024-02-06 Shoude Li
This paper explores a multiproduct firm’s process innovation of high-and low-quality goods with knowledge accumulation in a vertically differentiated monopoly. We show that: (i) the system admits a...
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Mental health in organizations from a healthcare analytics framework: taxonomic model, trends, and impact of COVID-19 Journal of Management Analytics (IF 3.6) Pub Date : 2024-02-06 Jorge Iván Pérez Rave, Carlos Mario Zapata Jaramillo, Gloria Patricia Jaramillo Álvarez
Mental disorders negatively affect employee well-being and organizational performance. Organizations face a challenge in terms of how to manage mental health. This paper clarifies three issues (und...
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On some new fuzzy entropy measure of Pythagorean fuzzy sets for decision-making based on an extended TOPSIS approach Journal of Management Analytics (IF 3.6) Pub Date : 2024-01-31 H. D. Arora, Anjali Naithani
Fuzzy entropy measures are valuable tools in decision-making when dealing with uncertain or imprecise information. There exist many entropy measures for Pythagorean Fuzzy Sets (PFS) in the literatu...
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Evolutionary game analysis of information service quality control of e-commerce platforms under information ecology Journal of Management Analytics (IF 3.6) Pub Date : 2023-12-27 Xiaojun Xu, Lu Wang, Xiaoli Wang
Due to the information asymmetry and imperfect supervision system, the problem of information service quality of e-commerce platforms is becoming increasingly prominent. Based on the perspective of...
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EPQ model with the effect of inflation and reliability for partial trade credit under fuzzy and cloudy fuzzy environment Journal of Management Analytics (IF 3.6) Pub Date : 2023-12-27 Supriya Tiwari, Kunal Shah, Kajal Bhimani
The proposed study offers the first-of-its-kind economic production quantity model for deteriorating items having a demand rate to be price dependent under the effect of inflation and reliability w...
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Commodity layout in supermarkets: using the integration of the comprehensive related value method and genetic algorithm Journal of Management Analytics (IF 3.6) Pub Date : 2023-12-27 Chenxia Jin, Fachao Li, Yuqing Xia, Sohail S. Chaudhry
The existing shelf layout methods do not explicitly consider the attention and relevancy of the commodity systematically and thus have failed to capture the invalid associations, resulting in poor ...
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Correction Journal of Management Analytics (IF 3.6) Pub Date : 2023-11-23
Published in Journal of Management Analytics (Vol. 11, No. 1, 2024)
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MCDM technique using single-valued neutrosophic trigonometric weighted aggregation operators Journal of Management Analytics (IF 3.6) Pub Date : 2023-10-08 Jun Ye, Shigui Du, Rui Yong
Motivated based on the trigonometric t-norm and t-conorm, the aims of this article are to present the trigonometric t-norm and t-conorm operational laws of SvNNs and then to propose the SvNN trigon...
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Using a novel ensemble learning framework to detect financial reporting misconduct Journal of Management Analytics (IF 3.6) Pub Date : 2023-09-14 Siqi Pan, Qiang Ye, Wen Shi
Our research focuses on detecting financial reporting misconduct and derives a comprehensive misconduct sample using AAERs and intentional restatements. We develop a novel ensemble learning method,...
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Artificial intelligence applications in finance: a survey Journal of Management Analytics (IF 3.6) Pub Date : 2023-08-10 Xuemei Li, Alexander Sigov, Leonid Ratkin, Leonid A. Ivanov, Ling Li
Finance is in our daily life. We invest, borrow, lend, budget, and save money. Finance also provides guidelines for corporation and government spending and revenue collection. Traditional statistic...
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An inventory analysis in a multi-echelon supply chain system under asymmetry fuzzy demand: a fmincon optimization Journal of Management Analytics (IF 3.6) Pub Date : 2023-07-31 B. Karthick
In this article, the three-echelon supply chain model is developed with a single supplier, a single vendor and a single buyer in a fuzzy environment. The three-stage inspection technique is conside...
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Predicting song popularity based on Spotify's audio features: insights from the Indonesian streaming users Journal of Management Analytics (IF 3.6) Pub Date : 2023-07-27 Harriman Samuel Saragih
Using regression and classification machine learning algorithms, this study explores audio features on Spotify that contribute to the popularity of songs streamed in Indonesia, and then evaluates t...
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Linguistic neutrosophic matrix energy and its application in multiple criteria group decision-making Journal of Management Analytics (IF 3.6) Pub Date : 2023-07-20 Rui Yong, Shigui Du, Jun Ye
Matrix energy is an important representation tool of collective information. Then, it is not applied to various fuzzy and linguistic environments. To compensate for this gap, this article aims to extend the matrix energy to propose the energy of a linguistic neutrosophic matrix (LNM) for solving a multiple criteria group decision-making (MCGDM) problem, which fully contains LNMs of decision-maker weights
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Cold supply chain inventory models for agricultural products with multi-stage stochastic deterioration rates Journal of Management Analytics (IF 3.6) Pub Date : 2023-07-07 Raosaheb Latpate, Maruti Bhosale, Sandesh Kurade
In India, majority of the families depend upon agricultural business. Also, 40% of agricultural food and vegetables are rotted due to improper planning. It is predicted in 2023 that US$ 293.27 billions will be wastage of food. That's why, the cost of these items are high in the retail market and farmers get least price for their produce. It is essential to avoid the loss by adopting cold supply chain
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A multi-agent deep reinforcement learning approach for solving the multi-depot vehicle routing problem Journal of Management Analytics (IF 3.6) Pub Date : 2023-07-03 Ali Arishi, Krishna Krishnan
The multi-depot vehicle routing problem (MDVRP) is one of the most essential and useful variants of the traditional vehicle routing problem (VRP) in supply chain management (SCM) and logistics studies. Many supply chains (SC) choose the joint distribution of multiple depots to cut transportation costs and delivery times. However, the ability to deliver quality and fast solutions for MDVRP remains a
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Study on coopetition relationship simulation among M-commerce information service subjects based on Lotka-Volterra model Journal of Management Analytics (IF 3.6) Pub Date : 2023-06-19 Xiaojun Xu, Linzhong Xu, Xiaoli Wang
In order to explore the evolution law of coopetition relationship among M-commerce information service (MIS) subjects and further reveal the allocation mechanism of information resources, the research extends Lotka-Volterra model, builds the coopetition relationship model of MIS subjects and simulates their coopetition relationship by Python and MATLAB to obtain the evolution trend of information resources
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Authentic leadership and employees’ job performance: mediation effect of positive employee health Journal of Management Analytics (IF 3.6) Pub Date : 2023-06-06 Yan Liu, Bryan Fuller, Kim Hester, Hong Chen
In light of global competition and the COVID-19 pandemic, organizations are encountering an increasingly challenging and unpredictable environment. Consequently, employees are experiencing heightened levels of job strain. This study aims to explore the impact of various organizational mechanisms on promoting positive employee health within the organization, ultimately affecting employees’ job performance
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An interactive web-based solar energy prediction system using machine learning techniques Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-28 Priyanka Chawla, Jerry Zeyu Gao, Teng Gao, Chengchen Luo, Huimin Li, Yiqin We
Solar energy being one of the most inexpensive renewable energy sources, has shown to be a viable alternative to traditional fossil-fuel and wood-based electricity generation. For the purpose of creating a more trustworthy and successful energy planning strategy, accurate projections of sun irradiation, solar energy generation, and revenues are crucial. Hence, in this work we have proposed web-based
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Health analytics in business research: a literature review Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-24 Quanchen Liu, Mengli Yu, Bingqing Xiong, Zhao Cai, Pengzhu Zhang, Chee-Wee Tan
Technological advances have enabled the collection of large quantities of valuable data for health-related use. Particularly, a growing number of scholars are paying attention to the application of health analytics to business topics. A comprehensive analysis of health analytics application in business research is necessary to realize the commercial value of health analytics. In this article, we summarize
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A supply chain model with two competitive buyers under a hybrid greening cost and revenue-sharing contract Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-17 Biswarup Samanta, Bibhas C. Giri, Kripasindhu Chaudhuri
This article considers a vendor-buyer supply chain model where a single vendor produces a single product and markets it through two competitive buyers to a group of customers. The customer demand for the product depends on the selling price, green level and warranty period of the product. Successive deliveries from the vendor are scheduled at a fixed time interval wherein the subsequent shipments appear
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A countermeasure designed to restrain self-serving behavior and strategic rating disclosure of credit rating agencies Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-16 Kittiphod Charoontham, Jirawat Worakantak, Kessara Kanchanapoom, Nartraphee Tancho
This study examines an incentive of the credit rating agency (CRA) to exert effort to observe projects’ signals and strategically disclose ratings when the upfront fee and performance-based fee scheme are imposed. Under the upfront fee scheme, the CRA obtains an upfront fee in exchange for its services but gains a performance-based fee only if its ratings accurately foresee the rated project’s outcome
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Understanding the role of streamers in livestreaming commerce: a vocal–visual perspective Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-15 Wei Gao, Ning Jiang, Feng Gu
Despite streamers having earned widespread attention, no studies have explored the relationship between streamers and customer engagement from a vocal–visual perspective in the livestreaming commerce context. Drawing on the elaboration likelihood model, we examine how streamers’ speech rate and facial attractiveness influence customer engagement using 434 pieces of unstructured livestreaming video
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A queueing-inventory model to control the congestion of patients and medical waste in the medical centers, a case study Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-15 Mohammad Rahiminia, Sareh Shahrabifarahani, Zahra Mojaradi, Amir Aghsami, Fariborz Jolai
During epidemics, controlling the patients’ congestion is a way to reduce disease spreading. Raising medical demands converts hospitals into one of the sources of disease outbreaks. The long patient waiting time in queues to receive medical services leads to more casualties. The rise of patients increases their waste, which is another source of disease outbreak. In this study, a mathematical model
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Smart agriculture: a literature review Journal of Management Analytics (IF 3.6) Pub Date : 2023-05-09 Disha Garg, Mansaf Alam
Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing (CC), and artificial intelligence (AI). These Emerging technologies are the potential enablers of data-driven smart farming. Realizing the importance of data-driven agriculture, we provide a complete picture of current literature
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Classification of territory risk by generalized linear and generalized linear mixed models Journal of Management Analytics (IF 3.6) Pub Date : 2023-04-06 Shengkun Xie, Chong Gan
Territory risk analysis has played an important role in the decision-making of auto insurance rate regulation. Due to the optimality of insurance loss data groupings, clustering methods become the natural choice for such territory risk classification. In this work, spatially constrained clustering is first applied to insurance loss data to form rating territories. The generalized linear model (GLM)
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Systematic analysis of artificial intelligence in the era of industry 4.0 Journal of Management Analytics (IF 3.6) Pub Date : 2023-03-23 Weiru Chen, Wu He, Jiayue Shen, Xin Tian, Xianping Wang
Artificial Intelligence has been playing a profound role in the global economy, social progress, and people’s daily life. With the increasing capabilities and accuracy of AI, the application of AI will have more impacts on manufacturing and service areas in the era of industry 4.0. This study conducts a systematic literature review to study the state-of-the-art on AI in industry 4.0. This paper describes
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Inventory models for deteriorating items with fixed lifetime, partial backordering and carbon emissions policies Journal of Management Analytics (IF 3.6) Pub Date : 2023-03-03 Falguni Mahato, Mukunda Choudhury, Gour Chandra Mahata
In this study, a sustainable inventory model is devised to obtain the retailer’s optimal pricing and replenishment policies for degrading items having a certain lifetime incorporating partial back order as a shortage and dynamic demand under two different scenarios (a) carbon cap and trade policy (b) carbon tax policy. The primary objective of this study is to maximize the retailer’s annual total profit
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An integrated fuzzy production inventory model for manufacturer–retailer coordination under simple carbon tax system Journal of Management Analytics (IF 3.6) Pub Date : 2023-03-01 G. Durga Bhavani, G. S. Mahapatra, Akhilesh Kumar
This paper develops twin models towards integrated production inventory planning for manufacturer–retailer ecosystem in a sustainable supply chain setup. Decision-making models are developed in fuzzy environment and under purview of carbon taxation system. Novel conception of Fermatean fuzzy numbers is introduced for handling parameters imprecision. The first model addresses planning problem without
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Effects of age on live streaming viewer engagement: a dual coding perspective Journal of Management Analytics (IF 3.6) Pub Date : 2022-12-18 Fei Liu, Yijing Li, Xiaofei Song, Zhao Cai, Eric T. K. Lim, Chee-Wee Tan
Though the emerging live streaming industry has attracted growing attention, the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been widely investigated. To decode the mechanism behind the popularity of yanzhi streamers, this study draws on Dual Coding Theory (DCT) to posit that age estimated from a streamer’s face and
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MCGDM model using uncertain linguistic consistency sets of single and interval linguistic term multivalued sets Journal of Management Analytics (IF 3.6) Pub Date : 2022-09-30 Jun Ye
This paper presents hybrid linguistic expressions and operations for the hybrid linguistic multiple criteria group decision making (MCGDM) issue with identical and/or different single and interval linguistic term values. First, we propose a single and interval linguistic term multivalued set/element (SILTMS/SILTME) and develop a consistency measure of SILTMEs based on Shannon entropy to measure the
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Optimal technology licensing contract with quality improvement innovation under Cournot competition Journal of Management Analytics (IF 3.6) Pub Date : 2022-09-08 Huaige Zhang, Xianpei Hong, Menghuan Zhou
This paper analyzes the optimal licensing contract for the patentor with a quality improvement innovation in a Cournot duopoly market. We examine and compare three licensing contracts (fixed-fee licensing, royalty licensing, and two-part ad valorem licensing) in terms of the patent-holding firm’s profit, consumer surplus, and social welfare. We also study the impact of quality differences on the choice
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Understanding the indicative factors of university/college closings Journal of Management Analytics (IF 3.6) Pub Date : 2022-08-31 Larissa Adamiec, Deborah Cernauskas, Andrew Kumiega
Higher education has been in a financially precarious position for many years – facing either a total transformation or elimination. Tuition increases and fewer college-age students from shifting demographics are primary reasons for the financial distress. Alternative financial stability models have assumed linear variable relationships and improperly calculate the probability of default. Stakeholders
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Three-stage algorithms for the large-scale dynamic vehicle routing problem with industry 4.0 approach Journal of Management Analytics (IF 3.6) Pub Date : 2022-08-29 Maryam Abdirad, Krishna Krishnan, Deepak Gupta
Companies are eager to have a smart supply chain especially when they have a dynamic system. Industry 4.0 is a concept which concentrates on mobility and real-time integration. Thus, it can be considered as a necessary component that has to be implemented for a dynamic vehicle routing problem. The aim of this research is to solve large-scale DVRP (LSDVRP) in which the delivery vehicles must serve customer
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Evaluation of the efficiency of fixed assets of economic sectors based on index analysis Journal of Management Analytics (IF 3.6) Pub Date : 2022-08-24 Alisa Ableeva, Guzel Salimova, Tatiana Lubova, Almira Farrahetdinova, Raisa Siraeva
This article is devoted to the study of the system of indicators characterizing the volume, structure and efficiency of the functioning of fixed assets of the production and non-production areas of the region based on the index analysis. Through factorial index analysis, models of the relationship between the gross regional product, the cost of fixed assets and capital productivity (capital intensity)
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Price squeeze under fairness: the road to supply chain coordination with a powerful retailer Journal of Management Analytics (IF 3.6) Pub Date : 2022-08-13 Mengmeng Wang, Xiaojing Feng
This research investigates the impacts of the manufacturer’s fairness concerns on the supply chain performance when the power retailer implements a price squeeze and market service investment together. Through game-theoretic modeling, we find that 1) in the absence of fairness, although the manufacturer may be worse off due to possessing imperfect information on the price squeeze rate, the channel
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Quantum science: a review and current research trends Journal of Management Analytics (IF 3.6) Pub Date : 2022-06-26 Zhiwei Ye, Yang Lu
Quantum science is accelerating the transition from research to industrialized applications and scenarios, and its potential disruptive power in the development of future technological transformation, operational modes, and economy is emerging. In this study, we describe the state of the art of quantum science, and we attempt to provide an overview of quantum mechanics and its relevant prospects. On
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Exploratory analysis of grocery product networks Journal of Management Analytics (IF 3.6) Pub Date : 2022-06-13 Ping-Hung Hsieh
Finding meaningful sets of co-purchased products allows retailers to manage inventory better and develop market strategies. Analyzing the baskets of products, known as market basket analysis, is typically carried out using association rule mining or community detection approach. This article uses both methods to investigate a transaction dataset collected from a brick-and-mortar grocery store. The
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An EOQ model for non-instantaneous deteriorating items with time-dependent demand under partial backlogging Journal of Management Analytics (IF 3.6) Pub Date : 2022-05-24 R. Udayakumar
This article discusses an economic order quantity model for non-instantaneous deteriorating items in which the demand is assumed to be a linear function of time over an infinite planning horizon. In addition, the salvage value associated with the deteriorated units is also considered. The shortages are allowed and partially backlogged. A mathematical model is framed to obtain the replenishment policy
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The effect of supply disruption in a two-layer supply chain with one retailer and two suppliers with promotional effort under random demand Journal of Management Analytics (IF 3.6) Pub Date : 2022-05-20 Totan Garai, Arpita Paul
This paper considers a closed-loop supply chain comprising one retailer and two suppliers. It assumes one supplier as the main supplier and another as the backup. The coordination issue of the supply chain has been discussed in this work. The main supplier's yield is considered subject to disruption. The demand considered here is stochastic. We aim to calculate the supplier's optimum production quantity
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A two-tier supply chain model under two distributions with MTTF, rework, variable production rate and lead time Journal of Management Analytics (IF 3.6) Pub Date : 2022-04-03 B. Karthick, R. Uthayakumar
This article considers the two-level supply chain model incorporating an imperfect production process under a variable lead time. The cost of producing a unit item is calculated as a function of the production rate. In addition, two alternative production functions (linear and quadratic functions) are used to relate process quality and production rate. Lead time demand follows two different distributions
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A single-manufacturer multi-retailer sustainable reworking model for green and environmental sensitive demand under discrete ordering cost reduction Journal of Management Analytics (IF 3.6) Pub Date : 2022-03-28 B. Malleeswaran, R. Uthayakumar
This paper develops an economic production quantity (EPQ) model for a single-manufacturer multi-retailer (SMMR) production and reworking system with green and environmental sensitive customer demand. The minimum cost of the manufacturer has obtained under carbon emissions (CE) policies and discrete ordering cost reduction. The model is used to optimize the total number of shipments, greening investment
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Impact of hospital size on healthcare information system effectiveness: evidence from healthcare data analytics Journal of Management Analytics (IF 3.6) Pub Date : 2022-02-18 Liuliu Fu, Ling Li, Lusi Li, Wenlu Zhang, Zihao Luo
With the rapid development of information technology, the increasing use of mobile digital devices and efforts from the whole society, the healthcare information systems (HISs) are moving towards a new era. However, there is still a lack of clear understanding of the benefits of HIS at the hospital level and the influential factors for HIS effectiveness. In this study, we propose a research framework
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Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction Journal of Management Analytics (IF 3.6) Pub Date : 2022-02-02 Ulf Norinder, Petra Norinder
In this investigation, we have shown that the combination of deep learning, including natural language processing, and conformal prediction results in highly predictive and efficient temporal test set sentiment estimates for 12 categories of Amazon product reviews using either in-category predictions, i.e. the model and the test set are from the same review category or cross-category predictions, i
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Image Analytics: A consolidation of visual feature extraction methods Journal of Management Analytics (IF 3.6) Pub Date : 2021-11-24 Xiaohui Liu, Fei Liu, Yijing Li, Huizhang Shen, Eric T.K. Lim, Chee-Wee Tan
Revolutionary advances in machine and deep learning techniques within the field of computer field have dramatically expanded our opportunities to decipher the merits of digital imagery in the business world. Although extant literature on computer vision has yielded a myriad of approaches for extracting core attributes from images, the esotericism of the advocated techniques hinders scholars from delving
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Modelling the effects of emission control areas on shipping company operations and environmental consequences Journal of Management Analytics (IF 3.6) Pub Date : 2021-11-04 Ran Jiang, Laijun Zhao
In this study, two integrated game models are developed to explore the possible economic and environmental consequences of Emission control areas (ECA) regulations. Moreover, the analytical solutions compared with a benchmark case are derived. We find that vessel speed and SO2 emissions will decrease under the ECA regulations. However, shipping company’s level of competition has no effect on the equivalent
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Cooperative mechanism on a three-echelon supply chain with remanufacturing outsourcing Journal of Management Analytics (IF 3.6) Pub Date : 2021-11-22 Changlin Zeng, Zhaopu Zhang, Tingting Zeng
This paper studies the cooperative mechanism for a three-echelon supply chain with remanufacturing outsourcing comparing a supplier, a manufacturer, and a third-party remanufacturer, wherein we take the relative fairness concerns into consideration. The Stackelberg game theory is introduced to analyze the best values for the supply chain and each member. Nash bargaining solution is used as the relative
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Decaying items inventory models with partial linked-to-order upstream trade credit and downstream full trade credit Journal of Management Analytics (IF 3.6) Pub Date : 2021-11-16 Chandan Mahato, Gour Chandra Mahata
In practice, any member of supply chain may offer full or partial trade credit contract to his downstream level. Full trade credit is the case that the latter is allowed to defer whole payment to the end of credit period. In partial trade credit, however, the downstream supply chain member must pay for a proportion of the purchased goods at first, and can delay paying for the rest until the end of