Forthcoming and Online First Articles

International Journal of Applied Management Science

International Journal of Applied Management Science (IJAMS)

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International Journal of Applied Management Science (9 papers in press)

Regular Issues

  • A Fuzzy-Euclidean Taxicab Distance-Based MCDM Approach for Optimal Personnel Selection   Order a copy of this article
    by Saloni Pahuja, Rakesh Garg, Ritvik Garg, Supriya Raheja 
    Abstract: Personnel selection has a direct impact on the performance of any organisation as it may help to create a right high-performance work culture. A number of different ways have been created and suggested to support the organisations to select the right talent for specific roles. As a result, this paper attempted to propose the effective decision-making in the personnel selection problem by considering it a multi-criteria decision-making problem. Thus, an integrated MCDM approach, namely fuzzy-ETDBA, is proposed to solve the personnel selection problem. The proposed study determines the weights of the evaluation indicators using fuzzy set theory and uses the ETDBA approach for ranking to get the best talent in the organisation.
    Keywords: personnel selection; selective hiring; multi-criteria decision making; fuzzy set theory; FST; Euclidean taxicab distance-based approach; ETDBA.
    DOI: 10.1504/IJIDS.2025.10058621
     
  • Optimal Ordering and Discounting Policy for a Segmented Market with Price and Freshness Dependent Demand for Mixed Quality Product   Order a copy of this article
    by Snigdha Banerjee, Varun Parmal, Swati Agrawal 
    Abstract: Due to various factors, fresh produce purchased by the retailer is initially of mixed quality. A random proportion of the lot would generally have lost some freshness before being received in stock, while the remaining items would still be fresh. This calls for some discount initially for the former, and later, when the latter product is not so fresh. For demand declining with increase in selling price and decrease in freshness, this paper deals with optimal ordering and discounting policy when the lot received is of mixed quality and the market has two segments differentiated by the initial product quality sold simultaneously at widely different prices. Sufficient conditions for existence and uniqueness of optimal cycle length and the optimal discount are obtained. Sensitivity analysis reveals that increase in freshness time and proportion of initially fresh items in the lot result in increased profit rate.
    Keywords: Freshness and selling price dependent demand; random proportion defective; segmentation; unsegmented market; discount.
    DOI: 10.1504/IJAMS.2024.10061487
     
  • The relationship between human resources marketing and innovative work behaviour: An exploratory qualitative study in Tunisian telecommunications operator Tunisie Telecom   Order a copy of this article
    by Imène Ben Zekri, Asma Daboussi-Ayadi, Anissa Louzir Ben Hassine 
    Abstract: This research aimed to study the relationship between human resources (HR) marketing and innovative work behaviour (IWB) in the Tunisian context. Indeed, the theme and the problem addressed offer us aspects hitherto unexplored. In response to this challenge, we conducted a case study. Based on a qualitative approach, individual semi-structured interviews were conducted with executives belonging to the Tunisian telecommunications operator-Tunisie Telecom (n=21). This study enabled us to gain an in-depth understanding of the extent to which the application of HR marketing within the company can develop innovative behaviour at work. The results, as well as managerial and theoretical implications, of this research are discussed in detail. On a theoretical level, our research shows the role of social identity theory in explaining the link between HR marketing and IWB, which is still an unexplored area in academic research. On a managerial level, our contribution lies in raising managers' awareness of the importance of this marketing approach in the development of innovative behaviour among executives.
    Keywords: Human resources marketing - Innovative work behaviour - Qualitative study - Tunisie Telecom.
    DOI: 10.1504/IJAMS.2024.10062170
     
  • Fostering Insurance Industry Agility in India: An Integrated Multi-Method Approach   Order a copy of this article
    by Neha Singh, Rajeswari Panigrahi, Rashmiranjan Panigrahi, Zakir Hossen Shaik 
    Abstract: Organisational agility is necessary to navigate a complex and ever-changing business environment. It holds immense significance in the insurance industry as it helps companies adapt to a rapidly evolving landscape driven by technological advancements, regulatory changes, and customer expectations. This study aims to explore the success factors that make insurance firms more agile and understand the interrelationship between them. An integrated multi-method approach was used, comprising a grounded theory approach to identify the factors, total interpretive structural modeling (TISM), and matrix impact cross multiplication applied to classification (MICMAC) approach to explore their interrelationship. The results highlight alignment to changing customer expectations and regularly re-examining processes as significant drivers of agility in the insurance industry. The study's novel approach to insurance sector agility has practical consequences, providing valuable insights into how insurance practitioners can adapt to changing business landscapes and embrace new opportunities.
    Keywords: Organizational Agility; Grounded Theory; Total Interpretive Structural Modeling; Insurance Industry.
    DOI: 10.1504/IJAMS.2024.10062278
     
  • Technostress and Work exhaustion: Unravelling the Mediating Role of Work-family Conflict in post-pandemic remote workers   Order a copy of this article
    by Hanfia Rahman, Tripti Singh 
    Abstract: The extensive adoption of information and communication technologies has garnered heightened attention in the contemporary digital era. This is particularly pertinent to post-pandemic remote workers that have encountered escalated stressors stemming from technological usage. The escalated dependence on information and communication technologies has amplified the blurring of boundary between work domain and family domain, consequently resulting in work exhaustion. Drawing on job-demands-resources model and conservation of resources theory, this study seeks to investigate the impact of technostress on work exhaustion and delineate the mediating influence of work-family conflict in this relationship. The investigation analysed a sample comprising 315 remote workers working in the Indian IT industry using PLS-SEM. The findings revealed that technostress leads to work exhaustion remote workers and work-family conflict mediated this relationship. The study highlights implications for theory and practical interventions that can help manage technostress, work-family conflict, and work exhaustion among remote workers.
    Keywords: Technostress; work exhaustion; work-family conflict; remote workers; IT employees; conservations of resources theory; JD-R model; structural equation modelling.
    DOI: 10.1504/IJAMS.2024.10062730
     
  • Saudi Arabian Employee Perceptions on Organisational Culture: A study across industries and Private and Government Sectors   Order a copy of this article
    by Adlah A. Alessa, Haton Alhamad 
    Abstract: This paper examines the perceptions of male and female employees in Saudi Arabia regarding the informal norms and cultural dimensions that establish the culture type of an organisation. It adopts Cameron and Quinn's (1999) Organizational Culture Assessment Instrument (OCAI) and Douglas Kimemia's (2013) informal organizational norms questionnaire. Questionnaires were distributed and collected from 826 Saudi employees of which 694 were valid. Descriptive statistics, correlation matrix, and regression were used in analysing the data. Our findings reveal that regardless of gender, industry, sector or demographic backgrounds; employees perceive that informal norms do not impact and are not impacted by organizational culture. Moreover, those with Ph.D. degrees seek opportunities outside of their work when measured against their organisational culture. Our data also revealed that every one of the 6 cultural dimensions influenced one another, consequently creating a loop of interdependency that manifests itself into the structure and culture of the organisation.
    Keywords: Entrepreneurs; Employees; Organizational culture; National culture; Corruption; Informal norms.
    DOI: 10.1504/IJAMS.2024.10062796
     
  • An integrated FAHP and TOPSIS for supplier selection under uncertainty: a case study in Electrical Explosion Protection and Sensor company   Order a copy of this article
    by Le Thu Trang Nguyen, Thi Huyen Trang Nguyen, Duc Duy Nguyen 
    Abstract: Supplier selection plays a vital role in supplier management, which decides the success of the supply chain. This study proposes a supplier selection framework, FAHP-TOPSIS, to overcome the challenges associated with imprecise information in the decision-making process. A list of criteria is initially identified through an extensive literature review and expert interviews. Subsequently, the FAHP technique is employed to determine the weights assigned to each criterion. Following this, the TOPSIS method is applied to rank and select the most suitable alternatives from the pool of potential suppliers. To validate the effectiveness of the proposed supplier selection framework, a practical case study is conducted within the context of electrical explosion protection and sensor companies in Vietnam. A sensitivity analysis is performed to examine the robustness of the criterion weights and ranking of suppliers. The findings consistently demonstrate that product cost and quality consistently rank as the top-priority factors in supplier selection.
    Keywords: Supplier selection; Fuzzy Analytic Hierarchy Process; TOPSIS; Fuzzy theory; Procurement.
    DOI: 10.1504/IJAMS.2024.10062807
     
  • Voter Satisfaction and Its Dynamics: An Empirical Analyses of Rural Vs. Urban India Voters   Order a copy of this article
    by Deepika Kumari, Shashank Vikram Pratap Singh 
    Abstract: How voters value the political parties' strategies and policies is the critical question faced by political parties. One such measurement is voter satisfaction. Therefore, the aim of this study is to uncover elements that sensitise voters to the political system and encourage their engagement in the electoral process. The purpose of the study was also to determine the effect of these variables on voter satisfaction. Using political sensitivity scale and voter satisfaction model, authors have made a comparative analysis of Urban and Rural Voters. The sample of 1400 has been collected from parliamentary constituencies of Urban Voters, and Rural Voters and SEM in AMOS was applied. Most of the findings were similar for Urban Voters and Rural Voters except for Religious and Caste Considerations, which was significant only in the case of Rural Voters. The study provides valuable insights to the politicians in framing their strategies.
    Keywords: Elections; Urban Voters; Rural Voters; Voters Satisfaction; Political Marketing.
    DOI: 10.1504/IJAMS.2024.10062940
     
  • A Novel Approach for Predicting Global Innovation Index Scores   Order a copy of this article
    by Rabia Sultan YILDIRIM, Mülayim Öngün ÜKELGE, Esra SARAÇ E?S?Z, Murat OTURAKÇI 
    Abstract: Innovation has great importance in growth models in today's economy. In the globalizing world, countries that renew their product and service range are at the forefront. The way to manage innovation is to measure it. Therefore, to have measurable information; The Global Innovation Index (GII) identifies inputs and outputs that are indicators of innovation. The GII provides a global ranking for countries according to their innovation capacity. In this study, GII scores of 125 countries between the years 2013-2020 were estimated using the artificial neural network (ANN). Before the estimation, feature selection was performed from 61 common indicator parameters. 27 parameters that best explain the GII score were selected and used in the ANN. According to the estimated GII scores, the selected 27 parameters are sufficient to calculate the GII score and has been observed that the ANN model is sufficient to determine the approximate GII score of the countries.
    Keywords: Global innovation index; feature selection; artificial neural network (ANN).
    DOI: 10.1504/IJAMS.2024.10062947