Template-Type: ReDIF-Article 1.0 Author-Name: Emad Rabiei Hosseinabad Author-X-Name-First: Emad Rabiei Author-X-Name-Last: Hosseinabad Author-Name: Reinaldo J. Moraga Author-X-Name-First: Reinaldo J. Author-X-Name-Last: Moraga Title: The evaluation of renewable energy predictive modelling in energy dependency reduction: a system dynamics approach Abstract: Supplying energy has become one of the biggest concerns of developed countries due to the growing energy needs in the last decades. Utilising available renewable energy resources has been characterised as a reliable indicator, to reduce energy dependency in countries as well as securing the supplying of energy-based needs in the future. In this paper, a system dynamics approach has been utilised to illustrate the interrelationships between electricity/energy consumption, renewable energy resources as promotion plans, and energy dependency on imported resources. In order to illustrate benefits of renewable energy utilisation on reducing energy dependency, three different scenarios were developed and applied to the state of Illinois in the US to analyse the decrease in imported energy resources from external sources. The results of a computer simulation indicated that about 17 billion dollars can be saved by 2025 by reducing electricity/energy imports by implementing complete renewable energy action plans. Journal: Int. J. of Applied Management Science Pages: 1-22 Issue: 1 Volume: 12 Year: 2020 Keywords: renewable energy policy; system dynamics modelling; energy dependency; energy demand forecasting; predictive modelling. File-URL: http://www.inderscience.com/link.php?id=105295 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:1:p:1-22 Template-Type: ReDIF-Article 1.0 Author-Name: Rishabh Shekhar Author-X-Name-First: Rishabh Author-X-Name-Last: Shekhar Author-Name: Uma Pricilda Jaidev Author-X-Name-First: Uma Pricilda Author-X-Name-Last: Jaidev Title: Antecedents of online purchase intention in the context of social commerce Abstract: The present growth in the e-commerce platform has opened up social commerce (SC), which uses social media to enhance commerce using social interactions. A thorough literature survey led to the identification of s-commerce dimensions namely, ratings and reviews, forums and communities, recommendations and the referrals. In addition perceived usefulness, perceived ease of use was also identified as factors that may trigger intention to purchase. Trust in social commerce has been identified as a mediator in the relationship between social commerce constructs, perceived ease of use, perceived usefulness and intention to purchase. Stepwise regression was used to understand the strongest predictors of SC adoption. Mediation analysis is also used to establish the role of trust. The study found that trust acts as a mediator between: 1) social commerce construct; 2) perceived usefulness and intention to buy; 3) perceived ease of use and intention to buy. This study added a new construct and empirically tested the relationship among the constructs. Journal: Int. J. of Applied Management Science Pages: 68-95 Issue: 1 Volume: 12 Year: 2020 Keywords: social commerce adoption; SCA; social commerce; social media; trust; perceived ease of use; PEU; perceived usefulness; online purchase intention. File-URL: http://www.inderscience.com/link.php?id=105296 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:1:p:68-95 Template-Type: ReDIF-Article 1.0 Author-Name: Abdellah El Fallahi Author-X-Name-First: Abdellah El Author-X-Name-Last: Fallahi Author-Name: El Yaakoubi Anass Author-X-Name-First: El Yaakoubi Author-X-Name-Last: Anass Author-Name: Mohammad Cherkaoui Author-X-Name-First: Mohammad Author-X-Name-Last: Cherkaoui Title: Tabu search and constraint programming-based approach for a real scheduling and routing problem Abstract: Constraint programming method (CPM) has gained much attention in the last years since it proved a great efficiency to model and solve many combinatorial problems like scheduling, assignment and routing problems. In this paper, we first present a CPM model for a real scheduling and routing problem (SRP) faced by a company of water and electricity distribution. The problem aims to minimise the total distance travelled by the company's technicians to the clients' locations in order to carry out some services. To solve the studied SRP three CPM-based solution methods are proposed: an exact method (branch and prune), a local search meta-heuristic and a hybrid algorithm which combine tabu search and constraint programming method. The proposed solution methods have been tested using three sets of instances. The two first sets are generated randomly, they represent small and large scale instances, while the third one contain the real instances provided by the company with which we are working. The results obtained by the three methods show clearly the superiority of the hybrid algorithm over the two others methods. Journal: Int. J. of Applied Management Science Pages: 50-67 Issue: 1 Volume: 12 Year: 2020 Keywords: constraint programming methods; CPM; tabu search; scheduling and routing problem; SRP. File-URL: http://www.inderscience.com/link.php?id=105298 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:1:p:50-67 Template-Type: ReDIF-Article 1.0 Author-Name: Dayakar Devaru Author-X-Name-First: Dayakar Author-X-Name-Last: Devaru Author-Name: Ramakrishna Maddula Author-X-Name-First: Ramakrishna Author-X-Name-Last: Maddula Author-Name: Bhaskaran Gopalakrishnan Author-X-Name-First: Bhaskaran Author-X-Name-Last: Gopalakrishnan Title: Establishing and comparing electrical energy consumption of sawmills Abstract: Quantity of energy required to produce a unit of product or specific energy consumption (SEC) is an important aspect to lumber producing sawmills since it can also represent production efficiency to some extent. The current research focuses on establishing SEC profiles for hardwood lumber sawing in sawmills and comparing them with SEC of other sawmills. Benchmarking energy consumption will help the sawmill industry to know where it stands against industrial bests and realise how to improve their energy efficiency and productivity. SEC was calculated in the traditional way initially by taking total energy consumption from energy bills and dividing it by total board feet sawn. Sawmills produced different lumber sizes which affected energy consumption and hence a method based on surface area cut was developed to calculate SEC. Better results were obtained by SEC calculated based on surface area cut since it exposed production bottle necks than traditionally calculated SEC. Journal: Int. J. of Applied Management Science Pages: 23-49 Issue: 1 Volume: 12 Year: 2020 Keywords: sawmills energy profiling; lumber sawing; wood processing; lumber surface area; sawmill motors; sawmill productivity improvement; electrical data logging; energy efficiency; sawmills benchmarking; sawmill process management. File-URL: http://www.inderscience.com/link.php?id=105299 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:1:p:23-49 Template-Type: ReDIF-Article 1.0 Author-Name: Burak Kandemir Author-X-Name-First: Burak Author-X-Name-Last: Kandemir Title: An inventory allocation algorithm in a periodic stock control system where demand type visibility is not available Abstract: We propose an algorithm for inventory allocation of common products among multiple customers in a make-to-forecast manufacturing system, which uses periodic stock review. The method takes backlogs, unfulfilled forecasts (that cannot be shipped until the end of the period), and planned safety stocks into account and has a series of steps, sequence of which are interchangeable. The algorithm is then applied to the manufacturing system summarised above and further analysis and statistical test show that it outperforms the system where only the demand type is considered and allocation efficiency increases. Journal: Int. J. of Applied Management Science Pages: 142-150 Issue: 2 Volume: 12 Year: 2020 Keywords: inventory allocation; backlog management; demand fulfilment; supply chain planning. File-URL: http://www.inderscience.com/link.php?id=106732 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:2:p:142-150 Template-Type: ReDIF-Article 1.0 Author-Name: Rahul Kumar Author-X-Name-First: Rahul Author-X-Name-Last: Kumar Author-Name: Pradip Kumar Bala Author-X-Name-First: Pradip Kumar Author-X-Name-Last: Bala Author-Name: Shubhadeep Mukherjee Author-X-Name-First: Shubhadeep Author-X-Name-Last: Mukherjee Title: A new neighbourhood formation approach for solving cold-start user problem in collaborative filtering Abstract: Collaborative filtering (CF) is the most widely accepted recommendation technique. Despite its popularity, this approach faces some major challenges like that of a cold-start user problem where a user has rated a handful of items. Due to very few ratings available for the cold-start users, their similarities with rest of the users has been questioned in the past, none have focused on their approach for neighbour identification. Whilst the traditional CF approaches select only those similar users as neighbours who have rated the item under consideration, the neighbourhood comprises of weak neighbours of the cold-start users. To address this shortcoming, our proposed approach selects neighbours with highest similarity irrespective of their availability of ratings for that item. Moreover, for the selected similar neighbours with missing ratings, an item based regression is performed to partially populate the matrix. The efficacy of the proposed neighbourhood formation approach addressing cold-start user problem is validated on two publicly available MovieLens datasets. Our approach provides superior quality of recommendations evaluated on a range of prediction and classification accuracy metrics. The results are encouraging particularly for systems having higher percentage of cold-start users which indicates the effectiveness of our approach in practical settings of new internet portals. Journal: Int. J. of Applied Management Science Pages: 118-141 Issue: 2 Volume: 12 Year: 2020 Keywords: recommender systems; collaborative filtering; cold-start problem; neighbours; similarity coefficient. File-URL: http://www.inderscience.com/link.php?id=106734 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:2:p:118-141 Template-Type: ReDIF-Article 1.0 Author-Name: Smita Sharma Author-X-Name-First: Smita Author-X-Name-Last: Sharma Author-Name: Naresh Dutt Mathur Author-X-Name-First: Naresh Dutt Author-X-Name-Last: Mathur Title: An assessment of attitude towards environment: a study of five star hotels in Rajasthan Abstract: The environmental attitudes of individuals are an important predictor of their behaviour towards environment. The present study examines the attitudes of hoteliers in Rajasthan towards environment. This research employs the Dunlap and Van Lierre's new ecological paradigm scale to analyse their attitude. The research is primarily exploratory in nature and comprised of 300 top and middle management people. The mean values ranged from 1.54 to 4.52 for odd and even numbered items. Three components have been extracted in the study. The Eigen values for three components extracted are greater than 1 (3.58, 2.00 and 1.757). This explains 73.37% of the variance in communalities. The NEP score in this study was 3.05, which indicates that ecological attitudes among the participating hotels were in accordance with the budding NEP. The study reflects fairly good intentions of the top management which can be translated into an effective environmental management plan for the organisation. Journal: Int. J. of Applied Management Science Pages: 151-168 Issue: 2 Volume: 12 Year: 2020 Keywords: new ecological paradigm; NEP; environmental attitudes; environmental management plan; star hotels; Rajasthan hospitality industry. File-URL: http://www.inderscience.com/link.php?id=106736 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:2:p:151-168 Template-Type: ReDIF-Article 1.0 Author-Name: Wei W. Simi Author-X-Name-First: Wei W. Author-X-Name-Last: Simi Author-Name: Xiaoli Wang Author-X-Name-First: Xiaoli Author-X-Name-Last: Wang Title: Money managers' interactions and Bayesian model Abstract: The essential incentives for investment portfolio managers are pursing relative outstanding portfolio performance among their peers in order to be rewarded for investment fund inflows. This competition for fund inflows has becomes dynamic games among money managers. This paper accordingly proposes a new strategic asset allocation methodology by considering strategic interactions among portfolio managers with the dynamic consideration of incomplete information. To be specific, we extended the approach of Basak and Makarov (2012) by considering the case that portfolio managers make strategic asset allocation decisions under the situation of incomplete information using the framework of Bayesian (Nash) equilibrium. Journal: Int. J. of Applied Management Science Pages: 97-117 Issue: 2 Volume: 12 Year: 2020 Keywords: portfolio choice; strategic interaction; Bayesian; Nash equilibrium; relative performance. File-URL: http://www.inderscience.com/link.php?id=106737 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:2:p:97-117 Template-Type: ReDIF-Article 1.0 Author-Name: Biswajit Acharjya Author-X-Name-First: Biswajit Author-X-Name-Last: Acharjya Author-Name: Subhashree Natarajan Author-X-Name-First: Subhashree Author-X-Name-Last: Natarajan Title: Application of soft computing techniques 'rough set theory and formal concept analysis' for analysing investment decisions in gold-ETF Abstract: Complex and noisy financial eco-system requires reliable models and proven techniques to predict the market movements and investor decisions. This study uses competent soft computing techniques: rough set theory (RST) and formal concept analysis (FCA) to study the investors' preferences, behavioural drivers and their actual behaviour in Gold-ETF (G-ETF) market. G-ETF, though a safe-haven and an alternate for reducing portfolio risks, inherits all complexities of financial markets. The employed RST helps in generating decision rules; and FCA to identify key factors affecting investment decision. This study is first of its kind, as integration of the foresaid techniques was not employed to study financial behaviour, earlier. The study has analysed 250 responses of G-ETF investors, in 12 listed G-ETFs, to conclude with a rich insight on the investment decisions discretised by different decision rules, strongly recommending the combined use of RST and FCA for data driven decisions. Journal: Int. J. of Applied Management Science Pages: 207-241 Issue: 3 Volume: 12 Year: 2020 Keywords: gold-ETF; behavioural finance; rough set theory; RST; formal concept analysis; FCA; decision rules; sub concept; super concept. File-URL: http://www.inderscience.com/link.php?id=108070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:3:p:207-241 Template-Type: ReDIF-Article 1.0 Author-Name: M. Bhavani Author-X-Name-First: M. Author-X-Name-Last: Bhavani Author-Name: K. Thammi Reddy Author-X-Name-First: K. Thammi Author-X-Name-Last: Reddy Author-Name: P. Suresh Varma Author-X-Name-First: P. Suresh Author-X-Name-Last: Varma Title: Particle swarm optimisation-based source code plagiarism detection approach using non-negative matrix factorisation algorithm Abstract: Source code plagiarism is easy to do the task, but very difficult to detect without proper tool support. Various source code similarity detection systems have been developed to help detect source code plagiarism. Numerous efforts have been made in the literature to introduce an efficient source code detection approach with less time complexity and accurate classification of plagiarised codes. However, there exists a tradeoff amongst the less complexity and high accuracy. In a similar way, this paper likewise attempted to build a framework to detect the plagiarised codes from the source code corpus. This approach employed an intelligent swarm optimisation algorithm known as PSO in the detection phase and robust matrix factorisation algorithm known as non-negative matrix factorisation based on alternative least square (ALS) algorithm for reduction of features from the sparse matrix. Depending on the implementation, ALS is very fast and significantly less work than an SVD implementation. The experimental results showed that it has good performance compared to the other existing approaches such as precision and recall. Journal: Int. J. of Applied Management Science Pages: 169-185 Issue: 3 Volume: 12 Year: 2020 Keywords: source code detection; evolutionary algorithm; particle swarm optimisation; PSO; non-negative matrix factorisation; alternative least square algorithm; dimensionality reduction. File-URL: http://www.inderscience.com/link.php?id=108071 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:3:p:169-185 Template-Type: ReDIF-Article 1.0 Author-Name: Kunal K. Ganguly Author-X-Name-First: Kunal K. Author-X-Name-Last: Ganguly Author-Name: Debabrata Das Author-X-Name-First: Debabrata Author-X-Name-Last: Das Title: Analysing the barriers in Indian stone crushing industries: an ISM and fuzzy AHP approach Abstract: In an emerging economy like India, stone crushing industry for construction aggregates play a vital role for employment and economy. These industries are usually small scale and labour intensive in nature. Stone mining and crushing have a considerable impact on the biological resources as well as socio economic setting of local population. In this context, therefore, identifying and ranking the barriers that affect stone crushing operations becomes important. The present research attempts to explore various factors affecting stone crushing operations and their interactions. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified barriers and fuzzy analytic hierarchy process (F-AHP) applied to rank the barriers. This study can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective operations of stone crushing units. Journal: Int. J. of Applied Management Science Pages: 242-264 Issue: 3 Volume: 12 Year: 2020 Keywords: mining; stone crushing operations; interpretive structural modelling; ISM; fuzzy analytic hierarchy process; FAHP; barriers; environmental impact. File-URL: http://www.inderscience.com/link.php?id=108072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:3:p:242-264 Template-Type: ReDIF-Article 1.0 Author-Name: Saeed Hameed Aldulaimi Author-X-Name-First: Saeed Hameed Author-X-Name-Last: Aldulaimi Title: Islamic work ethics: multidimensional constructs and scale validation Abstract: This paper aims to validate an instrument to measure Islamic work ethic (IWE) dimensions as defined by Aldulaimi (2016). This paper reviews the foundations of IWE then, offer a multidimensional model (with 18 dimensions) can enable researchers to evaluate and measure work ethic in Islamic societies. A total of 1,252 respondents participated in this study to validate the IWE instrument. This study produces a valid instrument (questionnaire) consisting of 90 items (questions) to measure IWE in Muslim societies using the structural equation modelling (SEM). This study is one of the few attempts to suggest appropriate dimensions of Islamic work ethic in the management literature. It provides a measurement scale for 18 dimensions that promise to strengthen individual transparency and morally, which would eventually enhance economic progress in the Islamic world. Journal: Int. J. of Applied Management Science Pages: 186-206 Issue: 3 Volume: 12 Year: 2020 Keywords: work ethics; Islamic values; validation; Islamic work ethics; IWE; management research; scale development; measurement tool. File-URL: http://www.inderscience.com/link.php?id=108073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:3:p:186-206 Template-Type: ReDIF-Article 1.0 Author-Name: B. Praba Author-X-Name-First: B. Author-X-Name-Last: Praba Author-Name: G. Gomathi Author-X-Name-First: G. Author-X-Name-Last: Gomathi Author-Name: Vijaya Mani Author-X-Name-First: Vijaya Author-X-Name-Last: Mani Title: Twin approximation space and its application in analysing employee engagement and employee value proposition Abstract: The concept of rough set was introduced by Pawlak is efficiently used in data analysis. In this paper, we have introduce twin rough set defined on a twin approximation space <i>I</i> = (<i>U,A,B</i>) where <i>U</i> is a non-empty finite set of objects and <i>A</i> and <i>B</i> are the two disjoint set of fuzzy attributes on the elements of <i>U</i>. This novel definition plays a vital role in comparing the influence of a set of attributes in <i>A</i> over that of <i>B</i> on the elements of <i>U</i>. Also, we have proposed an algorithm for this comparative analysis and the proposed algorithm is illustrated by taking a real time data. In this, a detailed analysis is done in comparing the two significant aspects namely employee engagement and employee value proposition of the employees in an organisation. Journal: Int. J. of Applied Management Science Pages: 299-308 Issue: 4 Volume: 12 Year: 2020 Keywords: fuzzy set theory; rough set theory; information system. File-URL: http://www.inderscience.com/link.php?id=110342 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:4:p:299-308 Template-Type: ReDIF-Article 1.0 Author-Name: Shamily Jaggi Author-X-Name-First: Shamily Author-X-Name-Last: Jaggi Author-Name: Dheeraj Nim Author-X-Name-First: Dheeraj Author-X-Name-Last: Nim Title: Brand association in jewellery segment: scale development and validation Abstract: The purpose of this paper is to develop are liable and valid brand association scale for estimating the females associations for different jewellery brands. Both qualitative as well as quantitative approaches were used for reduction and validation of the scale. The research was conducted into four phases through four different questionnaires. The finalised scale consist of eight dimensions, i.e., brand connect, brand image, brand loyalty, brand offerings, customer satisfaction, payment mode, brand promotion and brand preference with 36 total items of the scale. The jewellery brand association scale (JBAS) developed through this study will help the marketers to improve their methods and measurements of jewellery brands in numerous ways to create favourable and positive associations leading to attraction and retention of customers. Academicians and researchers can use this developed scale for performing quantitative studies related to different aspects of brand associations in jewellery sector. Journal: Int. J. of Applied Management Science Pages: 309-323 Issue: 4 Volume: 12 Year: 2020 Keywords: consumer behaviour; brand association; brand image; brand awareness; branding; jewellery; women; brand loyalty; scale development; scale validation; management science. File-URL: http://www.inderscience.com/link.php?id=110343 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:4:p:309-323 Template-Type: ReDIF-Article 1.0 Author-Name: Ashutosh Sheel Author-X-Name-First: Ashutosh Author-X-Name-Last: Sheel Author-Name: Vishnu Nath Author-X-Name-First: Vishnu Author-X-Name-Last: Nath Title: Blockchain technology adoption in the supply chain (UTAUT2 with risk) – evidence from Indian supply chains Abstract: The aim of the present study is to study blockchain technology adoption intentions by supply chain practitioners using the unified theory of adoption and use of technology (UTAUT2) with risk model as the conceptual framework. UTAUT2 is generic model which can be used to study adoption of technologies. The present study applies this model to study blockchain technology adoption in the supply chain. Data was collected from 360 supply chain practitioners in India. The results of the current study indicate that behavioural intentions for blockchain technology adoption are significantly influenced by performance expectancy, social influence, hedonic motivation and price value considerations. The study proposes some guidelines for adopting blockchain in the supply chain. The present study tries to fill in the gap in the existing literature by listing out the factors that influence blockchain technology adoption in the supply chain. Journal: Int. J. of Applied Management Science Pages: 324-346 Issue: 4 Volume: 12 Year: 2020 Keywords: extended UTAUT2 with risk; blockchain; supply chain management; IT; India. File-URL: http://www.inderscience.com/link.php?id=110344 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:4:p:324-346 Template-Type: ReDIF-Article 1.0 Author-Name: Naval Goel Author-X-Name-First: Naval Author-X-Name-Last: Goel Author-Name: Jose Garcia Crespo Author-X-Name-First: Jose Garcia Author-X-Name-Last: Crespo Author-Name: Vinay Nihalani Author-X-Name-First: Vinay Author-X-Name-Last: Nihalani Title: Mobility alternative selection for US automobiles potential evolution to autonomous vehicles Abstract: Quantitative and multiple-criteria decision-making analysis are performed to rank transportation modes for consumer needs. Each need is assumed to have fourteen mobility attributes. A consumer in 2018 can own a vehicle, call a taxi or hail ride. The quantitative analysis is cost per mile. For owning a vehicle, lifecycle cost includes vehicle price, registration and insurance charges, operating expenses, and financing. For taxi or hailing service, cost includes a base fare, booking fee, per minute charge and per mile charges. The cost to own a vehicle is about $1.43/mile while that for a taxi or a ride-hailing is around $3 per mile. For qualitative evaluation, mobility attributes are ranked for each transportation need, and weights of each attributes are calculated using linear programming. This evaluation shows owning an internal combustion engine is the most preferred transportation mode while ride hailing is the least preferred option in 2018. This study can be used to identify mobility alternatives given consumer needs in future as automobiles evolve to autonomous vehicles. Journal: Int. J. of Applied Management Science Pages: 280-298 Issue: 4 Volume: 12 Year: 2020 Keywords: transportation modes; internal combustion engine; hybrid vehicle; electric vehicle; transportation needs; mobility attributes; autonomous vehicles; multiple-criteria decision making; linear programming. File-URL: http://www.inderscience.com/link.php?id=110345 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:4:p:280-298 Template-Type: ReDIF-Article 1.0 Author-Name: Kaustav Dutta Author-X-Name-First: Kaustav Author-X-Name-Last: Dutta Author-Name: Amit Choudhury Author-X-Name-First: Amit Author-X-Name-Last: Choudhury Title: Estimation of performance measures of M/M/1 queues – a simulation-based approach Abstract: The M/M/1 queuing system has been the oldest and perhaps the most widely used of all queuing models. However, queuing analysts have been particularly constrained by the fact that no standardised inferential procedures are available in literature. The menu of methods available has their pitfalls and ambiguities. This paper is about putting to rest one such ambiguity. Journal: Int. J. of Applied Management Science Pages: 265-279 Issue: 4 Volume: 12 Year: 2020 Keywords: M/M/1; mean system size; mean queue size; mean waiting time; performance measures; queue; simulation; single server Markovian model; traffic intensity; management. File-URL: http://www.inderscience.com/link.php?id=110346 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:injams:v:12:y:2020:i:4:p:265-279