International Journal of Applied Decision Sciences (22 papers in press)
Multi-order scheduling optimization considering product operation and worker allocation in divisional seru
by Zhe Zhang, Yulong Wang, Yong Yin
Abstract: This paper focuses on the allocation and scheduling problem in divisional seru production system, which is a new production mode originating in Japan and has been proved to be both efficient and flexible in practice. According to the production process, the allocation and scheduling problem considered in this paper includes worker allocation, operation allocation and order scheduling. A bi-objective nonlinear model is established to minimise the total completion time and optimise the production balance. Subsequently, since seru scheduling is a natural NP-hard problem, therefore, the solution method which combines the clustering analysis and genetic algorithm is designed. Finally, the numerical example is presented to verify the effectiveness of proposed model and solution method. The experimental results show that the satisfactory production scheduling scheme in divisional seru can be obtained effectively, and the performance of the divisional seru production system is better than that of the assembly line.
Keywords: divisional seru; worker allocation; operation allocation; order scheduling; genetic algorithm.
Authentic leadership competences and positional favouritism: impact on positive and negative organisational effectiveness.
by Isaac Akuffo, Kurmet Kivipõld
Abstract: The world of business has become complex and, therefore, it is important for organisations to employ leaders with authentic principles. With this in mind, we explored how authentic leadership internal and external competences together with positional favouritism influence positive organisational effectiveness (job satisfaction and perceived organisational performance) and negative organisational effectiveness (turnover intentions and organisational politics). The sample consisted of 997 subordinates and 127 managers surveyed from public and private banks across Ghana. Second order confirmatory factor analysis and hierarchical multiple regression were used to analyse the data. We found that authentic leadership, internal and external competences increase positive organisational effectiveness while negative organisational effectiveness is decreased. Positional favouritism increases negative organisational effectiveness while positive organisational effectiveness is decreased. Authentic leadership internal competence together with positional favouritism had a negative influence on positive organisational effectiveness.
Keywords: Authentic leadership; internal and external competence; positional favouritism; job satisfaction; perceived organisational performance; organisational politics; turnover intentions.
Portfolio Management Strategies of Cryptocurrencies
by Ebenezer Fiifi Emire Atta Mills, Kailin Zeng
Abstract: This study explores the portfolio management of cryptocurrencies by assessing the out-of-sample performance of selected portfolio strategies in the literature. Using daily data from 500 randomly selected cryptocurrencies with monthly and weekly revision, the scaled and stable mean-variance-Entropic Value-at-Risk (MVE) portfolios outperform other portfolio strategies closely followed by 1/N portfolios. The mean Sharpe ratio with transaction costs of both MVE and 1/N was higher than that of benchmark, Coinbase index. Indeed, diversification across cryptocurrencies does improve investment results and mitigates risk exposure. The findings of this research are crucial for practitioners as they showcase a coherent manner to aid fund managers and investors in their investment practices.
Keywords: cryptocurrencies; portfolio strategy; diversification; risk.
A review of supply chain integration constructs and a framework for future research
by Sukran N. Atadeniz, Yavuz Acar, V. Sridharan
Abstract: The purpose of this study is to assess the consistency of construct definition and measurement in the survey-based supply chain integration literature. A lack of consistency has been widely recognized and has contributed to a certain indiscernibility concerning the relationship between supply chain integration and performance. This study includes a comprehensive and systematic review of integration constructs and their measurement items, as well as on-site interviews with vice presidents responsible for overseeing supply chain operations in global corporations. Our analysis reveals the inconsistencies within the existing integration constructs and demonstrates how this may have contributed to a lack of consensus across the findings of existing empirical studies. To address this problem, we present the dimensions of supply chain integration and their interrelationships in a logical framework revealing the multiplicity of the integration dynamics. The framework will enable future researchers to consistently define and operationalize integration in supply chain research studies.
Keywords: supply chain; integration; construct measurement; systematic review; survey.
A bi-objective green multi-period inventory-routing problem with multi-speed vehicles
by Abdul Sattar Safaei, Hossein Jandaghi, Ali Divsalar
Abstract: Vendor managed Inventory (VMI) becomes an important trend in the logistics. Inventory Routing Problem (IRP) is one of the most important problems in this context. In practice, any distribution plan in a IRP may cause CO2 emission produced by transportation of vehicles. In this research, an optimization model is developed to handle both the conventional inventory routing problem and its environmental impacts. The two objective functions are minimizing sum of distance cost, as well as minimizing fuel consumption and produced CO2 emissions. A bi-objective mixed-integer linear model is developed and the ?-constraint approach is used to solve its randomly generated instances. Numerical tests for several instances of the problem are performed using CPLEX. Moreover, sensitivity analyses are also performed to find which parameters are more important in terms of both model complexity and managerial insights.
Keywords: Inventory-routing problem; Bi-objective; Green supply chain; fuel consumption; CO2 emission; ?-constraint.
It Is About Beating the Competitors
by Jiali Tang, Khondkar Karim
Abstract: This paper examines how a firms long-term earnings rankings within the industry convey valuable information about its competitive advantages. Earnings rankings are isolated from industry and market-wide factors, therefore, contain firm-specific information that reflects the rareness of the firms resources and strategies. A higher ranking also indicates more effective value creation and difficulty in imitation, which translates into more sustainable future performance. Since a firms competitive advantages are defined by rareness, imitability, value, and sustainability, earnings rankings provide a numeric summary of competitive advantages. We decile rank a firms earnings within the industry and conduct a principal component analysis to measure competitive advantages. The findings confirm a significant positive association between earnings rankings and competitive advantages. In particular, long-term earnings rankings, measured by the 5-year moving averages, should be the most informative. Our results shed light on the usefulness of accounting numbers in implementing strategic management based on competitive advantages.
Keywords: earnings rankings; competitive advantages; firm-specific information; sustainable performance; accounting information.
Determining the Main Factors for Recidivism in Boston
by Odysseas Kanavetas, Aylin Kosar
Abstract: The goal of our study was to identify the specific reasons why recidivism occurs in Boston. Boston prison data was combined with stop and frisk data. This paper would help identify if individuals are being stopped by the police for crimes they might not have committed or were in the process of committing one and then were stopped by the police. Multinomial logistic regression and chi-square was used to see if any correlations among the variables seen in the frisk data can be found. The results for both methods showed there was a correlation among the variables from the frisk data such as age, race, category of crime, and police district.
Keywords: Recidivism; Data analysis; Regression; Hypothesis Testing.
Promoting Fashion Customer Relationship Management Dimensions Based On Customer Tendency to Outfit Matching: Mining Customer Orientation and Buying Behavior
by Sina Shokoohyar, Sajjad Shokohyar, Niloofar Raja, Vipul Gupta
Abstract: The purpose of this study is to mining dimensions of customer relationship management (CRM) based on consumer tendency to outfit matching. Consumers are clustered into groups based on descriptive variables, consumer desire to outfit matching and customer relationship dimensions. According to the results of this research, female customers with the age 30 or younger, who have a bachelor degree and are single, are inspired to outfit matching and prefer customer involvement dimensions. Also, long term partnership is the most significant dimensions of CRM for consumers who do not engage in outfit matching. Then, association rules were applied for extracting customer buying behavior that influence customer tendency to outfit matching. These results can be useful for the fashion industry to apply more effective CRM systems and customize them with customers preferences and behavior analysis. Compared with traditional techniques, the data mining methods have great potential for investigating customers preferences.
Keywords: Behavior Analysis; Data Mining; Customer Relationship Management (CRM); Fashion Industry; Match up Clothing.
Explaining Intention to Use Mobile Banking: Integrating Perceived Risk and Trust into the Technology Acceptance Model
by Long Pham, Ha Nguyen, Stan Williamson, Ching-Yuen Chan, Thang Tran, Nam Vu
Abstract: This study explores customers' mobile banking acceptance behavior using the Technology Acceptance Model (TAM) integrated with the variables of perceived risk and trust. Research employed a sample of 403 customers of one of the largest joint stock commercial banks in Vietnam. Results show that the integrated model explains more than 76 percent of the variability of intention to use mobile banking. The results also show that perceived risk is negatively related to trust, perceived usefulness, and intention to use mobile banking. Perceived risk is a second-order construct, consisting of component risk factors. Trust is positively associated with perceived ease of use, perceived usefulness, and intention to use mobile banking. Perceived ease of use is positively associated with perceived usefulness, and intention to use mobile banking. Perceived usefulness is positively related to intention to use mobile banking. Implications are drawn to enhance intention to use mobile banking.
Keywords: Mobile banking; perceived risk; trust; intention to use; technology acceptance model; Vietnam.
CRITICAL DIVERSITY DIMENSIONS INFLUENCING EFFECTIVE DIVERSE WORKFORCE: A GREY-DEMATEL APPROACH
by Mavis Agyapomah Baafi, Jiang Xin-Ying, Ebenezer Fiifi Emire Atta Mills
Abstract: In an attempt to increase organisational innovativeness and productivity, there is a need to identify the key diversity dimensions needed in the telecommunication industry of Ghana and the degree of influence and significance of these diversity dimensions. The contribution of this paper is in the proposed approach that combines the grey-DEMATEL to evaluate relevant diversity dimensions and their influence and significance. Diversity dimensions were sourced from literature and assessed by fifteen experts. The findings revealed that the critical diversity dimensions which influence effective diversified workforce are age, educational level, gender, personality, ethnicity and cultural values, and physical abilities and characteristics. Age and gender are characterised as reason diversity dimensions, i.e., essential diversity dimensions influencing other dimensions. The managerial implication is that in designing 2 M.A. Baafi et al. strategies to achieve an effective and efficient diverse workforce that contributes to higher productivity or increased return on investment, prominence should be placed on the critical diversity dimensions.
Keywords: diversity dimension; workforce; grey-DEMATEL; mobile telecommunication industry; Ghana.
USE OF A MULTICRITERIA MODEL FOR EVALUATIING THE USE OF SUSTAINABLE PRACTICES IN A CLOTHING INDUSTRY
by Deoclécio Junior Cardoso Da Silva, Leoni Pentiado Godoy, Taís Godoy, Daniel Benitti Lorenzett, Roger Da Silva, Clandia Maffini
Abstract: This study aims to use a multicriteria model to evaluate sustainable practices in sectors of a garment industry. Therefore, a theoretical basis was formed and steps were implemented regarding the case study, using not only the sustainability, but also the synchronization of sectors in the company. The multicriteria decision support method Fuzzy TOPSIS was used to evaluate the performance of alternatives. The results showed that the use of this method to evaluate the sectors can help managers to make decisions, so that the company improves more and more in the aspect of a sustainable experience. Other categories, such as the general direction of the company, can be considered in future studies. Previous research focused on theoretical studies on sustainability. This study showed the mathematical models to define the best alternative of sustainability in the manufacturing industries.
Keywords: Sustainable practices; Multicriteria model; Fuzzy TOPSIS; Clothing industry; Sensitivity analysis.
Understanding Human Aspects for an Effective Information Security Management Implementation
by Bilgin Metin, Burcu Kör
Abstract: In todays world, information security is a trending as well as a crucial topic for both individuals and organizations Cyber attacks cause financial loss for the business with data breaches and production loss Data breaches can result in loss of reputation, reduced customer loyalty, and fines Also due to cyber attacks, organizations lose business continuity cannot provide continuous production. Therefore, organizations should reduce cyber risks by managing their information security. For this purpose, they may use ISO/IEC 27001 information Security Management Standard. It includes 114 controls that are in both technical and organizational level. However, in the practice of security management, individuals information security behavior could be underestimated. In the literature several related papers are published but importance of the topic with respect to information security management is presented in this study. The present study extensively analyses the data collected from a survey of 630 people.
Keywords: Information Security; Information Security Behavior; Information Security Policy of the Organization; Information Security Knowledge Sharing; IS Self-Efficacy; Information Security Training.
Investigating the Effects of Information Technology Investment on the Performance of Telecommunication Companies
by Ahmad Sobhani, Sina Shokoohyar, Anae Sobhani
Abstract: Information Technology (IT) has a significant potential in improving the structure of organizations and the quality of companies' performance. However, the inconsistent relationships between IT investment and the performance of an organization is the main issue which can result in failing of a successful implementation of IT. In this paper, an econometric model is developed to evaluate the possible effects of IT investment on the productivity of a telecommunication company. The results show a positive contribution of IT capital and labor investments on the companys productivity and financial performance indexes. Findings also approve that the current IT investment has a positive impact on the companys revenue generation even after deducting depreciation expenses. This effect is less than non-IT investments. According to statistical analysis, while there is a strong relation between Total Factor Productivity of the company and its IT capital the relation between Labor Productivity and the IT capital is moderate.
Keywords: Information Technology; Financial Performance; Econometric Techniques; Douglas Production Model.
Multi-Scenario and Multi-Criteria Approach to Evaluate Prediction Techniques Used to Recognize Failure Patterns
by Mahdi Mohammadi Tehrani, Mobin Mohammadsadegh, Yvan Beauregard, Jean-Pierre Kenne, Michel Rioux
Abstract: Predicting the next failure of a specific component in a machine, results in higher performance of the equipment in terms of its reliability. Finding the most efficient, applicable, and precise prediction method has always been a challenge . This study examine the five most applicable prediction methods used to predict HAVC filter blockage. Considering different scenarios that use Design of Experiment (DOE),diverse performance metrics are defined and calculated to compare the prediction methods. A multiple criteria decision making (MCDM) tool, known as TOPSIS, is utilized to compare the performance of each predictive technique according to their performance in various contexts The results show that the performance of the system is improved when the best predictive method has been selected not only on the premises of a purely mathematical approach, but also when the solid mathematical prediction is supplemented by the judgments of experts and edited data.
Keywords: prediction techniques; predictive maintenance; multiple criteria decision making; design of experiment; heating ventilation and air conditioning system.
Shareholder Value in European Banks after the global financial crisis: an empirical analysis
by Sebastiano Mazzù, Matteo Cotugno, Simona Galletta
Abstract: This paper investigates the determinants of shareholder value in European banks over a seven-year period from 2011 to 2017. Using a panel fixed effects regression model, we find that banks that focused more on traditional lending activities and increased their risk-taking level generate greater shareholder value. Shareholder value is a persistent variable over time; bank size has a positive impact on shareholder value, while financial leverage has a negative influence. We also find a negative relationship between gross domestic product per capita (GDPPC) and shareholder value. Further analyses were conducted by clustering the sample into subsamples based on GDPPC, the density of bank branches and bank size. The main results are confirmed with a robustness check using a two-step IV-GMM estimate.
Keywords: Shareholder Value; Banks; Economic Value Added.
The impact of intellectual capital on bank performance during and after the NPLs crisis: evidence from Italian banks
by Giovanni Zampone, Giuseppe Sannino, Giuseppe Nicoló
Abstract: The purpose of this paper is to investigate the impact of intellectual capital (IC) efficiency on the financial performance of Italian banks within and after the NPLs crisis. The VAIC approach is employed to measure IC efficiency. Several fixed-effects regression models have been estimated to examine the relationship between IC, its components and Italian banks financial performance for a seven-year span (2012-2018), including the period within (2012-2015) and after (2016-2018) the NPLs financial crisis. The paper reveals that IC efficiency positively influences Italian banks financial performance irrespective of NPLs crisis. In particular, it seems that the value creation ability of Italian banks is widely attributed to an appropriate combination and management of both human capital and capital employed efficiency. This is the first study that empirically assesses the impact of IC on the financial performance of Italian banks both within and after the NPLs crisis.
Keywords: Banks; Italy; VAICTM; HCE; SCE; CEE; Financial Performance; NPLs; Intangibles; Resource-based view.
Optimal liquidation with jump-diffusion process
by Handong Li, Qixuan Luo, Can Jia
Abstract: Under the assumption of the asset prices obey jump-diffusion process, static optimal liquidation strategies and efficient frontier are provided based on the mean-variance criterion and the minimum loss probability criterion separately. Furthermore, this paper analyzed the impact of price jump component on optimal liquidation strategy. And the results indicate that, under the mean-variance criterion, the price jump component will change the trajectory of the optimal liquidation strategy and the final liquidation cost. While under the minimum loss probability criterion, the price jump component will not affect the optimal liquidation strategy, but will change the value of minimum loss probability.
Keywords: Price process; Jump component; price impact; Optimal liquidation strategy; Efficient frontier.
A New Optimization Approach to Assess Optimal Asset Allocation in European Non-Life Insurance companies
by Bilel Jarraya
Abstract: This study addresses the allocation of optimal assets in non-life insurance companies environment with a new vision. Most previous studies are based on the maximization of the utility function. However, in this paper, we focused on the maximization of technical efficiency (TE). In order to validate our objective, we select a set of European non-life insurance companies (ENIC) over the period 2008-2014. In the first step, we estimate the production function characterized by the directional output distance function (DODF). In the second one, we use two metaheuristics (PSO and GA) to assess the optimal asset allocation (OAA). The empirical results show that the proportion allocated to the alternative investment with high-risk high-return(AIhh) is on average lower than those found in previous studies. However, the percentage allocated to the risk-free assets (RFA) is on average different from zero. This can be explained by the attention given to the competitiveness, survival and long-term profitability respecting the maximization of (TE). So, any insurance company must give more attention to the presence of different stakeholders and resolves the conflicts of interest between them.
Keywords: Asset allocation; Technical efficiency; Metaheuristics; Production function; Insurance companies.
The Orbital Systems: Theory Paradigm
by Shervin Zakeri, Naoufel Cheikhrouhou
Abstract: In this paper, a new theory is introduced called orbital systems theory to handle the uncertainty of the natural phenomena, the complicated real-world problems, and the human's decision-making process which naturally creates the inconstancy and uncertainty in each process it involves. The philosophy of the new theory is established based on this hypothesis that every component of the universe is a box that carries the information and each one is constructed by the particular information concepts that move along specific orbits. The orbital system is an integral part of the new theory. As a restricted numeric system, its core is the concept of reality. An orbital system is developed based on five numerical spectra surrounded by four parallel dimensions of reality and certain reality. With considering time as an element, each dimension adds entropy to the system, and increases/decreases the level of uncertainty.
Keywords: Orbital systems theory; Orbital numbers; Uncertainty; Reality; Information; Theory.
Analytical evaluation of the Barriers to Blockchain Technology Implementation in Supply Chains
by Akram Shaabani, Iman Raeesi Vanani, Laya Olfat
Abstract: Recent studies show that technological developments have been effective in the way businesses operate. Blockchain Technology has emerged later than technologies, such as Internet of Things, automated tools, and industry 4.0. As a digital distribution office, Blockchain Technology ensures transparency, security, and traceability of all processes performed in supply chain, which facilitates supply chain management. This technology is very effective in reducing the cost and time of activities in the supply chain, which has significant advantages for companies. The aim of present study was to investigate barriers to Blockchain Technology implementation in supply chain with regard to technical, organizational, and external dimensions. To investigate the barriers, we used the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. The fuzzy TOPSIS technique, which is an MCDM approach, is used in ranking variables.
Keywords: Supply chain; Blockchain Technology; Fuzzy Shannons entropy; Fuzzy TOPSIS.
Multicriteria techniques for consensus in group decision making: a literature review.
by Lucas Daniel Del Rosso Calache, Lucas G. Zanon, Ingrid S.C. De Souza Feitosa, Rafael F. M. Arantes, Luiz C.R. Carpinetti
Abstract: This paper aims at conducting a systematic literature review regarding the application of multicriteria techniques for consensus in group decision making. It is presented a framework that consists in the following steps: formalization of research concepts, aim and question; strings input into the Web of Science, Scopus and Emerald databases; removal of duplicates and results classification by year of publication, country, consensus approach, information representation, applied technique and application theme. The results were stratified in the categories: supplier selection, project selection, equipment selection, location selection, investment selection and risk evaluation. The developed framework can be applied for guiding other reviews. The identification of consensus techniques and information representation is also of importance to provide insights for managers. Another finding is the differentiation between the mapped consensus approaches. Finally, future research opportunities were brought to light.
Keywords: Group decision; Multicriteria techniques; Consensus; Literature review.
An empirical study on Internet-based false news stories: experiences, problem awareness, and responsibilities
by Sven Grüner
Abstract: The Internet has significantly reduced the marginal costs of generating and disseminating information. The human information portfolio includes correct and incorrect information. False news stories constitute a challenge for our democracy. Therefore, scientists are increasingly interested in redesigning the information ecosystem. This paper addresses the problem awareness of university students in the realm of false news stories. With the help of a questionnaire, we seek for interesting correlations to generate hypotheses that can be analysed in further studies with new data (i.e., exploratory study).
Keywords: Study type: exploratory; information economics; false news stories; information ecosystem; social net-work; institutional economics.