Template-Type: ReDIF-Article 1.0
Author-Name: Sihem Bouguila
Author-X-Name-First: Sihem
Author-X-Name-Last: Bouguila
Author-Name: Victor Surjit
Author-X-Name-First: Victor
Author-X-Name-Last: Surjit
Title: CEO power as an important mechanism of corporate governance: available funds and social engagements
Abstract:
While there are growing bodies of research examining corporate governance effect on corporate social performance, little has been done in examining the effect of manager power on Corporate Social Performance (CSP). This study addresses this issue by examining 256 top citizens firms to show that CEO power can influence the financial performance and therefore can affect the social performance. We found that good level of CEO compensation and his social humanities background with an effective control of outsiders may align the managers' interests on these of others stakeholders. This effect is not direct and it should be moderated by the achievement of good financial performance in order to generate available funds which will be used to finance the costs of the social demands. There is positive synergy between the financial and the social demands if the managers have the initiative to serve and balance all the interest of the stakeholders.
Journal: Int. J. of Applied Management Science
Pages: 356-371
Issue: 4
Volume: 14
Year: 2022
Keywords: manager power; manager background; corporate governance; financial performance; social performance; FCF; available funds.
File-URL: http://www.inderscience.com/link.php?id=127005
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:4:p:356-371

Template-Type: ReDIF-Article 1.0
Author-Name: Harendra Kumar
Author-X-Name-First: Harendra
Author-X-Name-Last: Kumar
Author-Name: Shailendra Giri
Author-X-Name-First: Shailendra
Author-X-Name-Last: Giri
Title: A hybrid two-stage algorithm for solving the blocking flow shop scheduling problem with the objective of minimise the makespan
Abstract:
Flow shop scheduling is an important tool for a variety of industrial system and it has important applications in manufacturing and engineering. This paper considers the blocking flow shop scheduling problem involving processing times and provides a hybrid approach based on artificial neural network and genetic algorithm technique. The objective of this paper is to focus on to minimise the makespan. In this paper, a multi-layer neural network algorithm is developed to find the initial schedule of jobs and then a genetic algorithm is designed to improve the initial sequence of jobs to obtained the best job schedule that minimise the makespan. A numerical example is illustrated to explain the proposed approach and demonstrate its effectiveness. The performance of our suggested hybrid model is compared with the various existing method in the literature and the results indicate that the proposed model performs significantly better than the other methods in the literature. The computational results that are presented in this paper are very encouraging and have shown that the proposed algorithm is superior.
Journal: Int. J. of Applied Management Science
Pages: 316-335
Issue: 4
Volume: 14
Year: 2022
Keywords: artificial neural network; genetic algorithm; flow shop scheduling; blocking time; makespan; job sequencing.
File-URL: http://www.inderscience.com/link.php?id=127006
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:4:p:316-335

Template-Type: ReDIF-Article 1.0
Author-Name: Nguyen Huy Tuan
Author-X-Name-First: Nguyen Huy
Author-X-Name-Last: Tuan
Author-Name: Le Duc Toan
Author-X-Name-First: Le Duc
Author-X-Name-Last: Toan
Title: Antecedents and intention to revisit: experimental research for the beach resort tourism in central provinces, Vietnam
Abstract:
This research clarifies the relationships among antecedents (destination risk, destination image, destination satisfaction), and intention to revisit in the literature. This study draws new insights by examining the effects of antecedents on the intention to revisit through analysis of linear structure model (SEM). The findings of this study showed that the perceived destination risks influenced destination images, both of perceived destination risk and destination images not only have significant direct impact on revisit intention but also significant indirect affect the revisit intention through the satisfaction. Evaluating the mediating role of destination satisfaction and the moderation role of the number of times that tourists have visited the destination before by multi-group analysis. The study results also showed that the more number of times that tourists have visited the destination before, the higher the destination image has a positive influence on the destination satisfaction, and the higher the destination image has a positive influence on the intention to revisit. The findings of this study provide insights for beach resort tourism managers, allows them understand the relationships between antecedents and the revisit intention of tourists, thereby contributing to the beach resort tourism development.
Journal: Int. J. of Applied Management Science
Pages: 336-355
Issue: 4
Volume: 14
Year: 2022
Keywords: destination image; destination risk; destination satisfaction; revisit intention.
File-URL: http://www.inderscience.com/link.php?id=127007
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:4:p:336-355

Template-Type: ReDIF-Article 1.0
Author-Name: Frederico Silva Valentim Sallum
Author-X-Name-First: Frederico Silva Valentim
Author-X-Name-Last: Sallum
Author-Name: Luiz Flavio Autran Monteiro Gomes
Author-X-Name-First: Luiz Flavio Autran Monteiro
Author-X-Name-Last: Gomes
Author-Name: Jerzy Michnik
Author-X-Name-First: Jerzy
Author-X-Name-Last: Michnik
Title: A novel proposal to use the WINGS method in a multi-criteria context
Abstract:
We propose a new way to apply the WINGS method in a multi-criteria context. In the WINGS application the decision-maker can set the strength degree of each component and the influence degree of each component on others in the studied system. We consider a system whose components are alternatives. We then generate the strength degree of each alternative by applying the TOPSIS method. We denote the influence degree as preference degree. This preference degree is generated by the PROMÉTHÉE II method's preference index. We present a case study to test this proposal's consistency. We demonstrate that WINGS can be used in combination with other approaches in a usual multi-criteria context. The advantage of such an approach over the original is that in WINGS the final ranking takes into account direct and indirect relations between the alternatives.
Journal: Int. J. of Applied Management Science
Pages: 281-298
Issue: 4
Volume: 14
Year: 2022
Keywords: WINGS method; TOPSIS method; strength degree; PROMÉTHÉE II method; preference degree.
File-URL: http://www.inderscience.com/link.php?id=127008
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:4:p:281-298

Template-Type: ReDIF-Article 1.0
Author-Name: Owen Jakata
Author-X-Name-First: Owen
Author-X-Name-Last: Jakata
Author-Name: Delson Chikobvu
Author-X-Name-First: Delson
Author-X-Name-Last: Chikobvu
Title: Extreme value modelling of the South African Industrial Index (J520) returns using the generalised extreme value distribution
Abstract:
The aim of this study is to analyse the behaviour of extreme returns of the South African Industrial Index (J520) (years 1995-2018) and estimate extreme risk measures using the Generalised Extreme Value Distribution (GEVD). The results reveal that for the 8, 20 and 40 quarterly return periods, the estimated extreme losses are 9.28%, 13.65% and 17.03%, respectively. The extreme possible gains for the same periods are 9.81%, 11.63% and 12.68%, respectively. Therefore, in the short term (8 quarters) the extreme losses are less than the extreme gains, but in the medium to long term (20 and 40 quarterly return periods), the extreme losses are greater than the extreme gains. This study uses the GEVD to build models that can be used to estimate extreme risk measures that can act as effective decision-making tools for minimising risk exposure and maximising on the potential gains in equity portfolio risk management. Highlights: (1) In the short term the gains in the South African Industrial Index are greater than the losses. (2) However, in the medium to long term, for an investor invested in the same Index, the losses are greater than the gains.
Journal: Int. J. of Applied Management Science
Pages: 299-315
Issue: 4
Volume: 14
Year: 2022
Keywords: block maxima/minima; extreme value theory; generalised extreme value distribution; maximum likelihood estimation; return level; return period.
File-URL: http://www.inderscience.com/link.php?id=127009
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:4:p:299-315

Template-Type: ReDIF-Article 1.0
Author-Name: Abubakar Sani
Author-X-Name-First: Abubakar
Author-X-Name-Last: Sani
Author-Name: Hazri Jamil
Author-X-Name-First: Hazri
Author-X-Name-Last: Jamil
Title: Entrepreneurship curriculum practice in Malaysian universities: successes and challenges
Abstract:
This paper explores commitments of the Malaysian government towards promoting entrepreneurship activity among the university graduates and how that helps in reducing the issue of unemployment. Essentially, academic journals and other relevant documents on the successes and challenges of implementing entrepreneurship programs in Malaysian universities were reviewed. Again, secondary data was also obtained from the World Development Indicator (2017) on entrepreneurship and graduate unemployment (GU) in the country to test the relationship between the two variables. Entrepreneurship activities were measured using variables such as the new businesses registered, new business density, and ease of doing business all as independent variables; whereas GU is the dependent variable. Eviews 10.5 software was used to analyse the data using the Ordinary Least Square model. Findings from the review reveal that the Malaysian universities have achieved several successes in implementing the program; yet the rate of unemployment among the graduates is quite alarming.
Journal: Int. J. of Applied Management Science
Pages: 160-170
Issue: 2
Volume: 14
Year: 2022
Keywords: entrepreneurship; curriculum practices; ease of doing business; new business density; new businesses registered; Malaysia.
File-URL: http://www.inderscience.com/link.php?id=123057
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:2:p:160-170

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Hossein Haghighi
Author-X-Name-First: Mohammad Hossein
Author-X-Name-Last: Haghighi
Author-Name: Seyed Meysam Mousavi
Author-X-Name-First: Seyed Meysam
Author-X-Name-Last: Mousavi
Author-Name: Vahid Mohagheghi
Author-X-Name-First: Vahid
Author-X-Name-Last: Mohagheghi
Title: Addressing resiliency in supply chains through a multi-criteria group evaluation approach under interval type-2 fuzzy uncertainty
Abstract:
In real-world supply chain problems because of the non-existence of exact information and various fluctuating conditions, resilient supplier selection problems (RSSPs) are considered. In this paper, interval type-2 fuzzy sets (IT2FSs) are used in a modified VIKOR method to achieve more accuracy in the results. Moreover, a new method for computing weights of decision makers and a new method for computing weight of each evaluation criterion based on subjective and objective data are introduced. Finally, to verify the presented method a numerical example from the existing literature is presented and solved.
Journal: Int. J. of Applied Management Science
Pages: 91-113
Issue: 2
Volume: 14
Year: 2022
Keywords: resilient supplier selection; multi-criteria group decision making; interval-valued type-2 fuzzy sets; subjective and objective weights; weights of decision makers; modified VIKOR method.
File-URL: http://www.inderscience.com/link.php?id=123058
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:2:p:91-113

Template-Type: ReDIF-Article 1.0
Author-Name: G. Aiswarya
Author-X-Name-First: G.
Author-X-Name-Last: Aiswarya
Author-Name: Jayasree Krishnan
Author-X-Name-First: Jayasree
Author-X-Name-Last: Krishnan
Title: Antecedents of purchase intention: a study on fashion brands
Abstract:
Purchase intention depends on various factors, based on the product or a brand. With the rapid growth in urban, rising disposable income, and exposure to more fashion brands has led to the purchase of more branded apparels and much emphasis is required in this category. There were fewer studies in this segment and hence this study gains momentum. The primary objective of this research is to derive the factors which influence purchase intention on fashion brands. Exploratory factor analysis is conducted and four factors were obtained; Brand perception, Brand cues, Purchase decision and Brand awareness. Our secondary objective is to analyse the extent of the relationship between the factors obtained and purchase intention. Multiple regression analysis is conducted which reveals that Brand perception and Branding cues play a key role and have a positive relationship with Purchase Intention. However, purchase decision and Brand awareness have a positive role in influencing Purchase Intention. This study gives an insight into various aspects of buying behaviour which leads to purchase intention based on consumer perception. It also throws light on the cues which greatly influence them to purchase a particular brand.
Journal: Int. J. of Applied Management Science
Pages: 171-182
Issue: 2
Volume: 14
Year: 2022
Keywords: antecedents; factors; fashion brands; purchase intention; brand perception; brand cues; purchase decision and brand awareness; multiple regression; exploratory factor analysis.
File-URL: http://www.inderscience.com/link.php?id=123059
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:2:p:171-182

Template-Type: ReDIF-Article 1.0
Author-Name: Anil Kumar Agrawal
Author-X-Name-First: Anil Kumar
Author-X-Name-Last: Agrawal
Author-Name: Amit Ambar Gupta
Author-X-Name-First: Amit Ambar
Author-X-Name-Last: Gupta
Author-Name: Manu K. Vora
Author-X-Name-First: Manu K.
Author-X-Name-Last: Vora
Title: Determining optimal inventory policy and sales price under promotional expenditure for some Veblen products
Abstract:
This paper focuses on determining the optimal promotional expenses as well as optimal sales price and lot-sizing policies for Veblen products, generally being luxury goods consumed conspicuously. The price-demand relationships considered for the product are the ones suggested by Leibenstein (1950). The promotion is assumed to increase the product's perceived value facilitating in increasing the selling price without sacrificing the demand. The effect of promotional expenses has been analysed for the niche and mass markets using two different relationships. For obtaining the optimal pricing, lot-sizing and promotional expenses, a mathematical model has been developed and a GA-based heuristic is also proposed. Numerical examples are taken to illustrate the use of the proposed problem solving approaches and also to carry out sensitivity analyses. The results show almost no impact of variation in setup cost and carrying cost rate on optimal inventory policy, but of the product unit cost.
Journal: Int. J. of Applied Management Science
Pages: 114-135
Issue: 2
Volume: 14
Year: 2022
Keywords: conspicuous consumption; Veblen effect; pricing; promotion; price-sensitive demand.
File-URL: http://www.inderscience.com/link.php?id=123061
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:2:p:114-135

Template-Type: ReDIF-Article 1.0
Author-Name: V. Thirunavukkarasu
Author-X-Name-First: V.
Author-X-Name-Last: Thirunavukkarasu
Author-Name: S.R. Devadasan
Author-X-Name-First: S.R.
Author-X-Name-Last: Devadasan
Title: Design of TSSFD technique and its application study in a traditional pump manufacturing company
Abstract:
During the last two decades Six Sigma concept and Quality Function Deployment (QFD) technique have been widely applied in various types of organisation. The common goal of Six Sigma and QFD is achieving customer satisfaction. Yet QFD is rarely found in Six Sigma programs. Hence, the research community has just started to indicate the importance of impregnating QFD in Six Sigma programme. In this context, during the research reported in this paper the technique called Total Quality Function Deployment (TQFD) was impregnated with Six Sigma concept to evolve a model named as Total Six Sigma Function Deployment (TSSFD). The application of TSSFD was studied by examining it in a pump-manufacturing environment. The anticipated results of this application study were fruitful and helped in unearthing hidden facts that are currently obstructing the pump industry to achieve Six Sigma level quality through the translation of customer voices into practically understandable languages.
Journal: Int. J. of Applied Management Science
Pages: 136-159
Issue: 2
Volume: 14
Year: 2022
Keywords: Six Sigma; QFD; DMAIC; training; pump manufacturing; customer satisfaction; total Six Sigma function deployment; pump industry; customer voices; quality.
File-URL: http://www.inderscience.com/link.php?id=123062
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:2:p:136-159

Template-Type: ReDIF-Article 1.0
Author-Name: Ali Akbar Shaikh
Author-X-Name-First: Ali Akbar
Author-X-Name-Last: Shaikh
Author-Name: Leopoldo Eduardo Cárdenas-Barrón
Author-X-Name-First: Leopoldo Eduardo
Author-X-Name-Last: Cárdenas-Barrón
Author-Name: Asoke Kumar Bhunia
Author-X-Name-First: Asoke Kumar
Author-X-Name-Last: Bhunia
Title: An EOQ model for a deteriorating item under permissible delay in a vendor managed inventory system
Abstract:
The vendor managed inventory (VMI) plays a significant role in inventory as well as supply chain management. In a VMI system, the supplier is responsible for the decisions related to the timing and replenishment quantity. This paper develops an inventory model for a deteriorating item with permissible delay under a vendor managed inventory system. Shortages are allowed and these are partially backlogged waiting up to arrival of the next lot. Demand is dependent on selling price as well as frequency of advertisement. Also, a numerical example is solved and a sensitivity analysis is included. It is found that the implementation of the VMI is more beneficial because is less costly compared with an inventory model without VMI.
Journal: Int. J. of Applied Management Science
Pages: 183-204
Issue: 3
Volume: 14
Year: 2022
Keywords: VMI policy; deterioration; permissible delay in payment; advertisement and price dependent demand.
File-URL: http://www.inderscience.com/link.php?id=125121
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:3:p:183-204

Template-Type: ReDIF-Article 1.0
Author-Name: M.I. Nafeesathul Basariya
Author-X-Name-First: M.I. Nafeesathul
Author-X-Name-Last: Basariya
Author-Name: Punniyamoorthy Murugesan
Author-X-Name-First: Punniyamoorthy
Author-X-Name-Last: Murugesan
Title: An approach to arrive at stationarity in time series data
Abstract:
This paper presents a framework for converting non-stationary data into stationary data in a systematic way. Initially, the data is fitted with a unit root model to check the presence of unit root. The model which confirms the absence of the unit root is considered for stationarity check. The error term of the model that has passed the unit root test is checked for randomness and homoscedasticity. The data is considered to be stationary if it satisfies the conditions like the absence of unit root, presence of error randomness and homoscedasticity of error term. The non-stationary data has to be differenced and is checked for absence of unit root, presence of error randomness and homoscedasticity of error term. This process is continued to ensure the stationarity. This framework has been elucidated in this paper for macroeconomic variables namely consumption, gross domestic product and consumer price index.
Journal: Int. J. of Applied Management Science
Pages: 221-245
Issue: 3
Volume: 14
Year: 2022
Keywords: Dickey-Fuller; Durbin-Watson; Lagrangian multiplier test; augmented Dickey-Fuller; stationarity; randomness of error term; homoscedasticity of error term.
File-URL: http://www.inderscience.com/link.php?id=125122
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:3:p:221-245

Template-Type: ReDIF-Article 1.0
Author-Name: Chafik Bakour
Author-X-Name-First: Chafik
Author-X-Name-Last: Bakour
Author-Name: Riad Abadli
Author-X-Name-First: Riad
Author-X-Name-Last: Abadli
Author-Name: Abahamid Mohamed Yassine
Author-X-Name-First: Abahamid Mohamed
Author-X-Name-Last: Yassine
Title: The impact of FDI on economic growth: an empirical study of Moroccan FDI
Abstract:
The main objective of this article is to empirically examine the impact of foreign direct investment flows on growth in Morocco, for which we have designed an econometric model based on the Cobb-Douglas production function which allowed us to take into account also the contribution of human capital; in practice we used data extracted from the data centre for the development of the World Bank and cover the period 1976-2016. The results demonstrated a two-way causality between GDP and FDI, between GDP and human capital and between FDI and human capital. Thus, we have found that the mechanisms of interactions between these different variables are operational in the medium term. These results are of great importance on the one hand for the researchers because they answer partially on the questions of causal links between the economic growth and the FDI, and on the other hand for the public authorities by illuminating the strategies of opening and attraction of foreign capital.
Journal: Int. J. of Applied Management Science
Pages: 246-257
Issue: 3
Volume: 14
Year: 2022
Keywords: foreign direct investment; economic growth; Moroccan economy; economic reforms; human capital; times series; Toda and Yamamoto causality tests.
File-URL: http://www.inderscience.com/link.php?id=125124
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:3:p:246-257

Template-Type: ReDIF-Article 1.0
Author-Name: Maryam Esmaeili
Author-X-Name-First: Maryam
Author-X-Name-Last: Esmaeili
Author-Name: Sara Gharegozlou Hamedani
Author-X-Name-First: Sara Gharegozlou
Author-X-Name-Last: Hamedani
Title: A competitive facility location problem using distributor Stackelberg game approach in multiple three-level supply chains
Abstract:
This paper studies a discrete facility location problem in two different supply chains including suppliers, distributors and customers. The current and new distribution firm act as the leader and the follower respectively in a Stackelberg game. The model considers the lead-time as a competitive factor between the new Distribution Centres (DCs) and the existing ones as well as optimising the location and number of to-be-established DCs in the new supply chain by minimising the total cost. The Branch and Bound as well as Genetic Algorithm (GA) are used for solving the model, and the results are compared with the situation that there is no competitor results show in case of competition; there is more possibility of lost sales ignoring the rival decision in making strategic decision of locating new DCs. While, when there is no other player, decisions are taken independently as the only possible option for consumers.
Journal: Int. J. of Applied Management Science
Pages: 205-220
Issue: 3
Volume: 14
Year: 2022
Keywords: competitive facility location; supply chain network design; Stackelberg equilibrium; lead-time.
File-URL: http://www.inderscience.com/link.php?id=125125
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:3:p:205-220

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: Intention to use mobile wallets: an application of the technology acceptance model
Abstract:
The research aim is to determine the factors influencing the mobile wallet adoption. Constructs namely personal innovativeness, perceived enjoyment, and perceived self-efficacy were included in the technology acceptance model. The effect of the personal innovativeness, perceived enjoyment, perceived usefulness, perceived ease of use, and attitude towards using were examined. Age, gender, usage, and experience were introduced as the moderating variables in the model. The mediating effect of perceived usefulness was also studied using the procedure specified by Baron and Kenny in 1986. The findings of this study revealed that personal innovativeness, perceived enjoyment is associated with the perceived ease of use, perceived enjoyment and perceived ease of use was found to influence perceived usefulness. Attitude towards using is influenced by Perceived usefulness and Perceived ease of use. Behavioural intention is influenced by attitude towards using. The moderating effects of age, gender and experience were not significant. Theoretical, practical implications and future research directions are discussed.
Journal: Int. J. of Applied Management Science
Pages: 258-280
Issue: 3
Volume: 14
Year: 2022
Keywords: mobile wallet payment service; technology acceptance model; structural equation modelling; multi-group analysis.
File-URL: http://www.inderscience.com/link.php?id=125126
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:3:p:258-280

Template-Type: ReDIF-Article 1.0
Author-Name: Abhishek Srivastava
Author-X-Name-First: Abhishek
Author-X-Name-Last: Srivastava
Author-Name: Deepti Mehrotra
Author-X-Name-First: Deepti
Author-X-Name-Last: Mehrotra
Author-Name: P.K. Kapur
Author-X-Name-First: P.K.
Author-X-Name-Last: Kapur
Author-Name: Vijay Kumar
Author-X-Name-First: Vijay
Author-X-Name-Last: Kumar
Title: Modelling and measuring attributes influencing agile implementation in an enterprise using structural equation modelling
Abstract:
Today's software applications deployed in an enterprise caters to the complex business processes, integrate various business units and address requirements of global customer base. Critical characteristics of success of Agile development has to be taken into account in order to make this process of software development a rewarding one. In this paper, a significant perception is show cased for the adept to analyse and measure the specified Agile attributes using statistical analysis. A thorough analysis of 16 attributes is done in order to find vital independent factors and measure them steer the maturity of Agile employment in a business. For this purpose, a framework has been suggested which accelerates the process. An observation of the association among 16 attributes was done. With the help of Exploratory and Confirmatory Factor Analysis, a structural model was set up with affirmation using Structural Equation Modelling. These important attributes were measured and the maturity of Agile execution in a project was found with the help of Explanatory factor analysis. The 16 attributes were categorised in four latent variables: Planning, Execution, Tools and Infrastructure and People. This was done using exploratory and Confirmatory Factor Analysis. Moreover, Structural Equation Modelling was done to deduce thirteen key independent attributes that have an impact on other attributes. For the purpose of measuring these key attributes, Structural equation modelling was implemented using AMOS and it was determined that three of the attributes were working below the threshold.
Journal: Int. J. of Applied Management Science
Pages: 3-22
Issue: 1
Volume: 14
Year: 2022
Keywords: agile; continuous delivery; exploratory and confirmatory factor analysis; structural equation modelling; enterprise applications.
File-URL: http://www.inderscience.com/link.php?id=121039
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:3-22

Template-Type: ReDIF-Article 1.0
Author-Name: Adarsh Anand
Author-X-Name-First: Adarsh
Author-X-Name-Last: Anand
Author-Name: Subhrata Das
Author-X-Name-First: Subhrata
Author-X-Name-Last: Das
Author-Name: Ompal Singh
Author-X-Name-First: Ompal
Author-X-Name-Last: Singh
Author-Name: Vijay Kumar
Author-X-Name-First: Vijay
Author-X-Name-Last: Kumar
Title: Testing resource allocation for software with multiple versions
Abstract:
Upgradation has become a mandatory feature for software firms. Companies have now got no time to perform software testing because of coming up of their upgraded products at a fast pace. But even then firms have to test their respective version independently to remove maximum possible number flaws within particular time limit or under testing budget. In the current paper, taking into consideration the aspect of multi-upgradation, different optimisation problems are proposed wherein optimal allocation of testing resources to different versions is discussed. The proposed set of models is solved using dynamic programming approach and is supplemented with numerical illustrations.
Journal: Int. J. of Applied Management Science
Pages: 23-37
Issue: 1
Volume: 14
Year: 2022
Keywords: software reliability; multi-versions; resource allocation; dynamic programming.
File-URL: http://www.inderscience.com/link.php?id=121040
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:23-37

Template-Type: ReDIF-Article 1.0
Author-Name: Nidhi Chandra
Author-X-Name-First: Nidhi
Author-X-Name-Last: Chandra
Author-Name: Sunil Kumar Khatri
Author-X-Name-First: Sunil Kumar
Author-X-Name-Last: Khatri
Author-Name: Subhranil Som
Author-X-Name-First: Subhranil
Author-X-Name-Last: Som
Title: Anti-social behaviour analysis using random forest and word to vector approach
Abstract:
Social Networking and micro-blogging applications provide active platforms for communications, sharing thoughts and ideas. Processing natural text coming from varied social platforms possess many technical challenges such as processing messages written in slang, informal short messages, classifying messages into different labels and category based on the meaning. Maximum natural text processing and interpretation systems use n-gram language models, which can be simple and powerful most of the time. Random forest ensemble-based classifier has the potential to generalise the unseen data as compared to n-gram language models. Anti-social messages are a significant problem in social media. In this paper we present an approach to classify the natural language text as anti-social text using Random Forest classifier. In this paper we are addressing the challenge to identify anti-social messages using this algorithm using vector ensemble technique to classify anti-social text in offline mode. Word to vector approach has been used for word embeddings to train the model. This paper combines word to vector approach with random forest classifier using a multilayer network.
Journal: Int. J. of Applied Management Science
Pages: 38-56
Issue: 1
Volume: 14
Year: 2022
Keywords: natural language processing; random forest; ensemble classifier; anti-social behaviour analysis; word to vector.
File-URL: http://www.inderscience.com/link.php?id=121041
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:38-56

Template-Type: ReDIF-Article 1.0
Author-Name: Ajay Singh Yadav
Author-X-Name-First: Ajay Singh
Author-X-Name-Last: Yadav
Author-Name: Anupam Swami
Author-X-Name-First: Anupam
Author-X-Name-Last: Swami
Author-Name: Navin Ahlawat
Author-X-Name-First: Navin
Author-X-Name-Last: Ahlawat
Author-Name: Geethanjali Kher
Author-X-Name-First: Geethanjali
Author-X-Name-Last: Kher
Author-Name: Sachin Kumar
Author-X-Name-First: Sachin
Author-X-Name-Last: Kumar
Title: Inventory model for decay items with safe chemical storage and inflation using artificial bee colony algorithm
Abstract:
A deterministic Safe Chemical Storage inventory model has been developed for the deterioration of items with increasing demand, with inflation effects on stocks using artificial bee colony algorithm. The Safe Chemical Storage has a fixed capacity of C units using artificial bee colony algorithm. Stock outs are allowed and partially deferred, and inventories are expected to deteriorate in excess of time with a changeable rate of deterioration using artificial bee colony algorithm. The inflation consequence has also been taken into account for the different costs of the Safe Chemical Storage inventory organisation. The numerical example is also used to examine the behaviour of the model using artificial bee colony algorithm. The cost minimisation technique is second-hand to get hold of the terms of total cost and other parameters using artificial bee colony algorithm.
Journal: Int. J. of Applied Management Science
Pages: 57-70
Issue: 1
Volume: 14
Year: 2022
Keywords: safe chemical storage; inflation; shortages; ramp time demand; deterioration items; ABCG; artificial bee colony algorithm.
File-URL: http://www.inderscience.com/link.php?id=121042
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:57-70

Template-Type: ReDIF-Article 1.0
Author-Name: Bhajneet Kaur
Author-X-Name-First: Bhajneet
Author-X-Name-Last: Kaur
Author-Name: Laxmi Ahuja
Author-X-Name-First: Laxmi
Author-X-Name-Last: Ahuja
Author-Name: Vinay Kumar
Author-X-Name-First: Vinay
Author-X-Name-Last: Kumar
Title: Predicting sexual offenders using exhaustive CHAID techniques on victim's age
Abstract:
Sexual offences can spoil the whole culture of the society. This research paper proposes two decision models to classify and predict the sexual offenders of minor and major victims on the basis of their physical attributes namely age, race, weight and height using CHAID and Exhaustive CHAID techniques of decision tree. Overall dataset has been divided into 70:30 for building and testing the models. As resulted 79.8% rate of accuracy found by model using CHAID technique even model tested with 79.1% rate of accuracy. By using Exhaustive CHAID, 79.9% rate of accuracy depicts by the model developed through 70% of test data and model validated through 30% of test data with 78.8% rate of accuracy. The proposed models can help to take any kind of decision further by police departments, sexual harassment cells and law enforcement agencies for security purposes.
Journal: Int. J. of Applied Management Science
Pages: 71-89
Issue: 1
Volume: 14
Year: 2022
Keywords: sexual offenders; minor victim; major victim; decision tree; index values; gain chart; response chart; machine learning; CHAID; SPSS; exhaustive CHAID.
File-URL: http://www.inderscience.com/link.php?id=121043
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:injams:v:14:y:2022:i:1:p:71-89