inventory management thesis papers

Impact of inventory management practices on the operational performances of SMEs: review and future research directions

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• Published: 02 January 2024

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• Rashmi Ranjan Panigrahi 1 ,
• Avinash K. Shrivastava   ORCID: orcid.org/0000-0001-7794-7129 2 &
• P. K. Kapur 3  

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The aim of this research is to examine the connection between inventory management practices (IMP) and their impact on the operational performance (OP) of SMEs. This investigation is conducted through a systematic literature review, with a specific focus on the perspective of supply chain and Industry 5.0 technology. This study uses bibliometric analysis and Scopus to extract and process relevant articles from 2000 to 2023, employing advanced techniques like biblioshiny and VOS-viewer to identify influential elements. This review revealed valuable insights like five clusters, seven thematic areas, and four emerging research contents. These findings offer a roadmap for future theoretical and empirical research in both SMEs and large manufacturing industries. Notably, SMEs’ operational performance is impacted by knowledge of high-tech technologies like IoT, big data, and ML, aiding in inventory cost reduction. The study’s innovation lies in integrating bibliometric analysis and systematic review, examining the crucial link between IM practices and SMEs’ operational performance, and identifying research gaps and emerging trends for further exploration and enhancement in operations research.

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Abdul Rahman NSF, Karim NH, Md Hanafiah R, Abdul Hamid S, Mohammed A (2023) Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency. Int J Product Perform Manag 72(4):962–985

Article   Google Scholar  

Afrifa GA, Alshehabi A, Tingbani I, Halabi H (2020) Abnormal inventory and performance in manufacturing companies: evidence from the trade credit channel. In: Review of quantitative finance and accounting (Issue 0123456789). Springer US. https://doi.org/10.1007/s11156-020-00903-y

Aggarwal SC (1985) Mrp, Jit, Opt, Fms? In: Harvard business review, pp 1–7. https://hbr.org/1985/09/mrp-jit-opt-fms

Ahmad K, Zabri SM (2016) IM practices among Malaysian micro retailing enterprises. J Bus Retail Manag Res 11(1):103–115

Google Scholar  

Ahmad K, Zabri SM (2018) The mediating effect of knowledge of IM in the relationship between IM practices and performance: the case of micro retailing enterprises. J Bus Retail Manag Res 12(2):83–93

Ahmed W, Jalees M, Omair M, Mukhtar Z, Imran M (2022) An IM for global supply chain through reworking of defective items having positive inventory level under multi-trade-credit-period. Ann Oper Res 315(1):1–28

Article   MathSciNet   Google Scholar  

Aissaoui N, Haouari M, Hassini E (2007) Supplier selection and order lot sizing modeling: A review. Comput Oper Res 34(12):3516–3540

Amindoust A (2018) A resilient-sustainable based supplier selection model using a hybrid intelligent method. Comput Ind Eng 126:122–135

Andriolo A, Battini D, Persona A, Sgarbossa F (2016) A new bi-objective approach for including ergonomic principles into EOQ model. Int J Prod Res 54(9):2610–2627

Atnafu D, Balda A (2018) The impact of IM practice on firms’ competitiveness and organizational performance: empirical evidence from micro and small enterprises in Ethiopia. Cogent Bus Manag 5(1):1–16

Bag S, Telukdarie A, Pretorius JHC, Gupta S (2018) Industry 4.0 and supply chain sustainability: framework and future research directions. Benchmarking Int J. https://doi.org/10.1108/BIJ-03-2018-0056

Bagchi PK, Chun Ha B, Skjoett-Larsen T, Boege Soerensen L (2005) Supply chain integration: a European survey. Int J Logist Manag 16(2):275–294

Baird K, Jia Hu K, Reeve R (2011) The relationships between organizational culture, total quality management practices and operational performance. Int J Oper Prod Manag 31(7):789–814

Baker HK, Kumar S, Pattnaik D (2021) Research constituents, intellectual structure, and collaboration pattern in the journal of forecasting : a bibliometric analysis. J Forecast 40(4):577–602

Ballou RH (2000) Evaluating IM performance using a turnover curve. Int J Phys Distrib Logist Manag 30(1):72–85

Barney J (1991) Firm resources and sustained competitive advantage. J Manag 17(1):99–120

Barney J, Wright M, Ketchen DJ (2001) The resource-based view of the firm. J Manag 27(6):625–641

Bendig D, Brettel M, Downar B (2018) Inventory component volatility and its relation to returns. Int J Prod Econ 200:37–49

Benton WC, Whybark DC (1982) Material requirements planning (MRP) and purchase discounts. J Oper Manag 2(2):137–143

Borade AB, Kannan G, Bansod SV (2013) Analytical hierarchy process-based framework for VMI adoption. Int J Prod Res 51(4):963–978

Butt MA, Nawaz F, Hussain S, Sousa MJ, Wang M, Sumbal MS, Shujahat M (2019) Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations: the implications for knowledge processes and knowledge-based systems. Comput Math Organ Theory 25(3):336–356

Chapman RL, Soosay C, Kandampully J (2003) Innovation in logistic services and the new business model. Int J Phys Distrib Logist Manag 33(7):630–650

Chen X, Feldman J, Jung SH, Kouvelis P (2022) Approximation schemes for the joint inventory selection and online resource allocation problem. Prod Oper Manag 31(8):3143–3159

Chou DC, Bindu Tripuramallu H, Chou AY (2005) BI and ERP integration. Inf Manag Comput Secur 13(5):340–349

Chuang HHC, Oliva R, Heim GR (2019) Examining the link between retailer inventory leanness and operational efficiency: moderating roles of firm size and demand uncertainty. Prod Oper Manag 28(9):2338–2364

Coelho LC, Laporte G (2014) Improved solutions for inventory-routing problems through valid inequalities and input ordering. Int J Prod Econ 155:391–397

Cruz-Jesus F, Pinheiro A, Oliveira T (2019) Understanding CRM adoption stages: empirical analysis building on the TOE framework. Comput Ind 109:1–13

Cunha LRA, Delfino APS, dos Reis KA, Leiras A (2018) Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches. Int J Prod Res 56(18):6279–6293

Danese P (2006) The extended VMI for coordinating the whole supply network. J Manuf Technol Manag 17(7):888–907

Das SK, Pervin M, Roy SK, Weber GW (2023) Multi-objective solid transportation-location problem with variable carbon emission in IM: a hybrid approach. Ann Oper Res 324(1–2):283–309

Dbouk W, Moussawi-Haidar L, Jaber MY (2020) The effect of economic uncertainty on inventory and working capital for manufacturing firms. Int J Prod Econ 230:107888

Dehghani M, Abbasi B, Oliveira F (2021) Proactive transshipment in the blood supply chain: a stochastic programming approach. Omega 98:102112

Denuwara N, Maijala J, Hakovirta M (2019) Sustainability benefits of RFID technology in the apparel industry. Sustainability (switzerland) 11(22):1–14

Detty RB, Yingling JC (2000) Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. Int J Prod Res 38(2):429–445

Disney SM, Potter AT, Gardner BM (2003) The impact of vendor managed inventory on transport operations. Transp Res Part E Logist Transp Rev 39(5):363–380

Disney SM, Towill DR (2003) The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains. Int J Prod Econ 85(2):199–215

Drnevich PL, West J (2021) Performance implications of technological uncertainty, age, and size for small businesses. J Small Bus Manag 61(4):1806–1841. https://doi.org/10.1080/00472778.2020.1867733

Donthu N, Kumar S, Pattnaik D (2020) Forty-five years of journal of business research: a bibliometric analysis. J Bus Res 109:1–14

Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res 133:285–296

Elsayed K, Wahba H (2016) Reexamining the relationship between IM and firm performance: an organizational life cycle perspective. Future Bus J 2(1):65–80

Eroglu C, Hofer C (2011a) Lean, leaner, too lean? The inventory-performance link revisited. J Oper Manag 29(4):356–369. https://doi.org/10.1016/j.jom.2010.05.002

Eroglu C, Hofer C (2011b) Inventory types and firm performance: vector autoregressive and vector error correction models. J Bus Logist 32(3):227–239

Eroglu C, Hofer C (2014) The effect of environmental dynamism on returns to inventory leanness. J Oper Manag 32(6):347–356

Esrar H, Zolfaghariania H, Yu H (2022) IM practices at a big-box retailer: a case study. Benchmarking Int J. https://doi.org/10.1108/BIJ-11-2021-0716

Farahani RZ, Rezapour S, Drezner T, Fallah S (2014) Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega 45:92–118

Fatorachian H, Kazemi H (2021) Impact of Industry 4.0 on supply chain performance. Prod Plan Control 32(1):63–81

Fawcett SE, Waller MA, Fawcett AM (2010) Elaborating a dynamic systems theory to understand collaborative inventory successes and failures. Int J Logist Manag 21(3):510–537

Folinas DK, Fotiadis TA, Coudounaris DN (2017) Just-in-time theory: The panacea to the business success? Int J Value Chain Manag 8(2):171–190

Gaur V, Honhon D (2006) Assortment planning and inventory decisions under a locational choice model. Manag Sci 52(10):1528–1543

Ghobbar AA, Friend CH (2003) Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model. Comput Oper Res 30(14):2097–2114

Ghobbar AA, Friend CH (2004) The material requirements planning system for aircraft maintenance and inventory control: a note. J Air Transp Manag 10(3):217–221

Ghosh M (2013) Lean manufacturing performance in Indian manufacturing plants. J Manuf Technol Manag 24(1):113–122

Giannoccaro I, Pontrandolfo P, Scozzi B (2003) A fuzzy echelon approach for inventory management in supply chains. Eur J Oper Res 149(1):185–196

Gijsbrechts J, Boute RN, Van Mieghem JA, Zhang DJ (2022) Can deep reinforcement learning improve IM? Performance on lost sales, dual-sourcing, and multi-echelon problems. Manuf Serv Oper Manag 24(3):1349–1368

Gurumurthy A, Nair VK, Vinodh S (2020) Application of a hybrid selective inventory control technique in a hospital: a precursor for inventory reduction through lean thinking. TQM J. https://doi.org/10.1108/TQM-06-2020-0123

Harris FW (1990) How many parts to make at once. Oper Res 38(6):947–950

Hazen BT, Boone CA, Wang Y, Khor KS (2017) Perceived quality of remanufactured products: construct and measure development. J Clean Prod 142:716–726

Hofer C, Eroglu C, Hofer AR (2012) The effect of lean production on financial performance: the mediating role of inventory leanness. Int J Prod Econ 138(2):242–253

Ikeziri LM, de Souza FB, da Silva Meyer A, Gupta MC (2023) Pulling the distribution in supply chains: simulation and analysis of dynamic buffer management approach. Int J Syst Sci Oper Logist 10(1):1981480

Jonsson P, Mattsson SA (2008) IM practices and their implications on perceived planning performance. Int J Prod Res 46(7):1787–1812

Joshi S, Sharma M, Bartwal S, Joshi T, Prasad M (2022) Critical challenges of integrating OPEX strategies with I4.0 technologies in manufacturing SMEs: a few pieces of evidence from developing economies. TQM J. https://doi.org/10.1108/TQM-08-2022-0245

Kandil O, Abd El Aziz R (2021) Evaluating the supply chain information flow in Egyptian SMEs using six sigma. Int J Lean Six Sigma 12(1):120–148

Kim B, Na J (2022) Effects of CEO and COO overconfidence on the firm’s inventory leanness. J Manuf Technol Manag 33(1):169–190

Koumanakos DP (2008) The effect of IM on firm performance. Int J Product Perform Manag 57(5):355–369

Kroes JR, Manikas AS (2018) An exploration of ‘sticky’ IM in the manufacturing industry. Prod Plan Control 29(2):131–142

Kück M, Freitag M (2021) Forecasting of customer demands for production planning by local k-nearest neighbor models. Int J Prod Econ 231:107837

Kulp SC, Lee HL, Ofek E (2004) Manufacturer benefits from information integration with retail customers. Manage Sci 50(4):431–444

Kumar A, Shrivastav SK, Shrivastava AK, Panigrahi RR, Mardani A, Cavallaro F (2023) Sustainable supply chain management, performance measurement, and management: a review. Sustainability 15(6):5290

Li X, Wang Q (2007) Coordination mechanisms of supply chain systems. Eur J Oper Res 179(1):1–16

Lin Y, Liang B, Zhu X (2018) The effect of inventory performance on product quality: the mediating effect of financial performance. Int J Qual Reliab Manag 35(10):2227–2247

Lin Y, Wang J, Shi Y (2022) The impact of inventory productivity on new venture survival. Int J Product Perform Manag 71(5):1972–1988

Liu G, Li L, Chen J, Ma F (2020) Inventory sharing strategy and optimization for reusable transport items. Int J Prod Econ 228:107742

Lurie NH, Swaminathan JM (2009) Is timely information always better? The effect of feedback frequency on decision making. Organ Behav Hum Decis Process 108(2):315–329

Mahadevan B, Pyke DF, Fleischmann M (2003) Periodic review, push inventory policies for remanufacturing. Eur J Oper Res 151(3):536–551

Mahajan PS, Raut RD, Kumar PR, Singh V (2023) IM and TQM practices for better firm performance: a systematic and bibliometric review. TQM J. https://doi.org/10.1108/TQM-04-2022-0113

Malladi KT, Sowlati T (2018) Sustainability aspects in inventory routing problem: a review of new trends in the literature. J Clean Prod 197:804–814

Mathiyazhagan K, Rajak S, Sampurna Panigrahi S, Agarwal V, Manani D (2020) Reverse supply chain management in manufacturing industry: a systematic review. Int J Product Perform Manag 70(4):859–892

Meybodi MZ (2015) The links between just-in-time practices and alignment of benchmarking performance measures. TQM J 27(1):108–121

Moinzadeh K (2002) A multi-echelon inventory system with information exchange. Manag Sci 48(3):414–426

Moons K, Waeyenbergh G, Pintelon L (2019) Measuring the logistics performance of internal hospital supply chains—a literature study. Omega (united Kingdom) 82:205–217

Mulandi CM, Ismail N (2019) Effect of IM practices on performance of commercial state corporations in Kenya. Int Acad J Procure Supply Chain Manag 3(1):180–197

Nabass EH, Abdallah AB (2018) Agile manufacturing and business performance: the indirect effects of OP dimensions. Bus Process Manag J 25(4):647–666

Negrão LLL, de Sousa L, Jabbour AB, Latan H, Godinho Filho M, Chiappetta Jabbour CJ, Ganga GMD (2020) Lean manufacturing and business performance: testing the S-curve theory. Prod Plan Control 31(10):771–785

Olson DL, Xie M (2010) A comparison of coordinated supply chain IM systems. Int J Serv Oper Manag 6(1):73–88

Opoku RK (2022) IM strategies of manufacturing industries: evidence from food processing firms in Ghana. Int J Value Chain Manag 13(3):258

Opoku RK, Fiati HM, Kaku G, Ankomah J, Opoku-Agyemang F (2019) IM practices and OP of manufacturing firms in Ghana. Int Bus Res 9(7):1–18

Panigrahi RR, Jena D, Tandon D, Meher JR, Mishra PC, Sahoo A (2021) IM and performance of manufacturing firms. Int J Value Chain Manag 12(2):149–170

Panigrahi RR, Jena D, Meher JR, Shrivastava AK (2022a) Assessing the impact of supply chain agility on OPs-a PLS-SEM approach. Meas Bus Excell 27(1):1–24. https://doi.org/10.1108/MBE-06-2021-0073/FULL/PDF

Panigrahi RR, Jena D, Mishra PC (2022b) Inventory automation practices and productivity: a study on steel manufacturing firms. Int J Appl Syst Stud 9(3):195–213

Panigrahi RR, Meher JR, Shrivastava AK, Patel G, Jena LK (2022d) OP entitling the knowledge of IM practices on business performance: a mediational study. Global Knowl Mem Commun. https://doi.org/10.1108/GKMC-07-2022-0177

Panigrahi RR, Shrivastava AK, Qureshi KM, Mewada BG, Alghamdi SY, Almakayeel N, Almuflih AS, Qureshi MRN (2023) AI Chatbot adoption in SMEs for sustainable manufacturing supply chain performance: a mediational research in an emerging country. Sustainability 15(18):13743

Panigrahi RR, Mahapatra S, Tanty G (2022c) Automated practices in IM on performance—a prospect of emerging country. Int J Bus Perform Manag. https://doi.org/10.1504/IJBPM.2024.10053104

Pinheiro J, Silva GM, Dias ÁL, Lages LF, Preto MT (2020) Fostering knowledge creation to improve performance: the mediation role of manufacturing flexibility. Bus Process Manag J 26(7):1871–1892

Rabinovich E, Dresner ME, Evers PT (2003) Assessing the effects of operational processes and information systems on inventory performance. J Oper Manag 21(1):63–80

Rafique M, Hameed S, Agha MH (2018) Impact of knowledge sharing, learning adaptability and organizational commitment on absorptive capacity in pharmaceutical firms based in Pakistan, J Knowl Manag 22(1):44–56. https://doi.org/10.1108/JKM-04-2017-0132

Rehman MA, Seth D, Shrivastava RL (2016) Impact of green manufacturing practices on organisational performance in Indian context: an empirical study. J Clean Prod 137:427–448

Riley JM, Klein R, Miller J, Sridharan V (2016) How internal integration, information sharing, and training affect supply chain risk management capabilities. Int J Phys Distrib Logist Manag 46(10):953–980

Sachdeva N, Shrivastava AK, Chauhan A (2021) Modeling supplier selection in the era of Industry 4.0. Benchmarking Int J 28(5):1809–1836

Sahin F, Robinson Jr EP (2005) Information sharing and coordination in make-to-order supply chains. J Oper Manag 23(6):579–598

Sgarbossa F, Peron M, Lolli F, Balugani E (2021) Conventional or additive manufacturing for spare parts management: an extensive comparison for Poisson demand. Int J Prod Econ 233:107993

Sharma S, Modgil S (2019) TQM, SCM and OP: an empirical study of Indian pharmaceutical industry. Bus Process Manag J 26(1):331–370

Shi Y, Zhu X, Zhang S, Lin Y (2019) The role of operational stickiness in impacting new venture survival. J Manuf Technol Manag 30(5):876–896

Siegel R, Antony J, Govindan K, Garza-Reyes JA, Lameijer B, Samadhiya A (2022) A framework for the systematic implementation of green-lean and sustainability in SMEs. Prod Plan Control. https://doi.org/10.1080/09537287.2022.2052200

Småros J, Lehtonen JM, Appelqvist P, Holmström J (2003) The impact of increasing demand visibility on production and inventory control efficiency. Int J Phys Distrib Logist Manag 33(4):336–354

Sun Y, Guo SC, Li X (2022) An order-splitting model for supplier selection and order allocation in a multi-echelon supply chain. Comput Oper Res 137:105515

Suryadi A, Rau H (2023) Considering region risks and mitigation strategies in the supplier selection process for improving supply chain resilience. Comput Ind Eng 181:109288

Syntetos AA, Zied Babai M, Gardner ES (2015) Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping. J Bus Res 68(8):1746–1752

Tasdemir C, Hiziroglu S (2019) Achieving cost efficiency through increased inventory leanness: evidences from oriented strand board (OSB) industry. Int J Prod Econ 208:412–433

Thürer M, Fernandes NO, Stevenson M (2020) Production planning and control in multi-stage assembly systems: an assessment of kanban, MRP, OPT (DBR) and DDMRP by simulation. Int J Prod Res 60:1–15

Tripathi S, Talukder B (2023) Supply chain performance and profitability in indian automobile industry: evidence of segmental difference. Global Bus Rev 24(2):371

Tsay AA (2001) Managing retail channel overstock: Markdown money and return policies. J Retail 77(4):457–492

Velasco Acosta AP, Mascle C, Baptiste P (2020) Applicability of demand-driven MRP in a complex manufacturing environment. Int J Prod Res 58(14):4233–4245

Vishnu CR, Sridharan R, Gunasekaran A, Ram Kumar PN (2019) Strategic capabilities for managing risks in supply chains: current state and research futurities. J Adv Manag Res 17(2):173–211

Williams BD, Tokar T (2008) A review of IM research in major logistics journals. Int J Logist Manag 19(2):212–232

Yang K, Thoo AC (2023) Visualising the knowledge domain of reverse logistics and sustainability performance: scientometric mapping based on VOSviewer and CiteSpace. Sustainability 15(2):1105

Yu Y, Chen H, Chu F (2008) A new model and hybrid approach for large scale inventory routing problems. Eur J Oper Res 189(3):1022–1040

Žic S, Žic J, Đukić G (2023) Efficient planning and optimization of inventory replenishments for sustainable supply chains operating under (R, s, S) policy. Sustain Futures 5:100110

Zhu X, Wang J, Liu B, Di X (2020) Inventory stickiness, environmental dynamism, financial constraints and survival of new SMEs in China. J Manuf Technol Manag 32(2):400–422

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Panigrahi, R.R., Shrivastava, A.K. & Kapur, P.K. Impact of inventory management practices on the operational performances of SMEs: review and future research directions. Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-023-02216-4

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Received : 02 June 2023

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DOI : https://doi.org/10.1007/s13198-023-02216-4

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Factors Influencing the Effectiveness of Inventory Management in Manufacturing SMEs

Shiau Wei Chan 1 , R. Tasmin 1 , A. H. Nor Aziati 1 , Raja Zuraidah Rasi 1 , Fadillah Binti Ismail 1 and Li Ping Yaw 1

Published under licence by IOP Publishing Ltd IOP Conference Series: Materials Science and Engineering , Volume 226 , International Research and Innovation Summit (IRIS2017) 6–7 May 2017, Melaka, Malaysia Citation Shiau Wei Chan et al 2017 IOP Conf. Ser.: Mater. Sci. Eng. 226 012024 DOI 10.1088/1757-899X/226/1/012024

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1 Department of Production and Operation Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.

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Effectiveness of inventory management is a vital part in the manufacturing organization to be more competitive. The previous studies have indicated that there are several factors influencing the effectiveness of inventory management in the organization but there is lack of researchers who carried out the research in the manufacturing small medium enterprise in Johor. Therefore, the purpose of this research is to identify the problem of inventory management faced by the manufacturing small medium enterprise and also to determine the factors that will influence the effectiveness of inventory management. In completing this research, 80 employees were selected randomly from the manufacturing small medium enterprise in Batu Pahat, Johor and they were requested to complete questionnaires. The result have shown that the problems of inventory management faced by manufacturing organization were underproduction, overproduction, stock out situation, delays in the delivery of raw materials and discrepancy of records. The factors, documentation/store records, planning, knowledge of employees/staff skill have shown to significantly influence the effectiveness of inventory management while the funds have shown slightly significant influence on the inventory management in manufacturing small medium enterprises. This quantitative study is important to the manufacturing organization in Malaysia because it provides the guidelines to the employers of manufacturing small medium enterprises in Batu Pahat, Johor.

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Dhaalaco Dhalaco

Kerathum Juma

ABSTRACT The research study focused on the inventory management and organization efficiency in Ibanda District local Government t. The study was guided by the following objectives; to analyze the inventory management practices used by Ibanda District local Government, to find out the methods used in performance measurement and its contributions to organization’s efficiency and to find the importance relationship between inventory management and organization’s efficiency to Ibanda District local Government. The study used a descriptive survey method. By use of simple random sampling, 100 respondents from the departments of store, purchasing, top management and others were selected from the area of study. From each department respective officers took part in the study. In all a total of 100 respondents took part in this research study. The study used closed ended questionnaires to collect data. The study reveals that Ibanda District local Government holds stock that is used to satisfy current and future needs of the people of Ibanda District local Government. The district carries out monthly stock taking of items in stores and stock is inspected for quality and right specifications. The methods that are used by Ibanda District local Government to manage inventory are stock valuation where by the system used FIFO to record the value of the stock that is held at a particular period for accountability purposes and writing of final accounts to be submitted to the Ministry of Health . The organization has a strong data centre for its stock such as receipts, invoices which help in keeping record of all the relevant prices so as to carry out a stock valuation. Basing on the findings, Inventory management helps organizations to cut down costs incurred by an organization. It can therefore be concluded that inventory management practices are related to performance of an organization, corporation or business as regards service delivery From the findings, it was evident that inventory management leads to efficiency and effectiveness by avoiding over stocking and under stocking. To ensure this stock taking is carried out to determine the stock levels and hence determine the organizations worth. It also helps to determine the balance of stock and check for any variances and make reconciliations to make sure that the physical stock corresponds with what is within the records. This helps management to detect for any variations and consider possible solutions to solving these problems.

Lorenzo Mas

internal audit in institutions of higher learning is of paramount the educational entities. many organizations have had alot of risks in terms of liquidity risks, going concern threats

Emmanuel O . Olusanya

Inventory management and control plays a significant role in better performance of business entities. This paper analyses whether SMEs in Shomolu-Yaba of Lagos State carry out inventory management and the impact of Inventory Management and Control of cash flow on the liquidity of SME’s in Shomolu-Yaba Metropolis. The study used descriptive and analytical sample survey for the representation and the analysis of the findings. A sample of 150 SMEs was used. However, a total of 149 responses were received. The study relied on both primary data, collected through a questionnaire, and secondary data collected from reports and financial records of SMEs in Shomolu-Yaba. Summary of findings shows that the findings established a positive correlation coefficient (r), = 0.220, (r2) = 0.049 between Stock Ordering Level and Provision for slow moving/obsolete items in inventories, there is no positive effect between the techniques adopted by these SMEs in managing their accounts and the inventory level and measures employed by these SMEs in terms of profit and liquidity established a positive correlation coefficient (r), = 0.202, 0.174, 0.279, (r square) = 0.041, 0.030, 0.078. Finally, these SMEs should create a re-order level policy for their institutions that will create an enabling environment for them to request for the supply of moderate and high quality stocks.

Susan Adikini

ABSTRACT HIV and AIDS related stigma exists in all levels of society. Rejection, isolation, avoidance, denial, participation, restrictions are common manifestations. PLHIV are not only stigmatized by others but they also stigmatize themselves due to perceived stigma or experience of discrimination, which have serious consequences, such as low self esteem, depression , self isolation eventually low motivation to seek proper treatment. The study shows that fear of contagion, negative attitude as towards PLHIV and lack of discrimination laws are major contributing factors to stigma and discrimination. Lack of or inadequate knowledge escalates the fear. HIV is associated with behaviors that are considered illegal in most societies such as extra-sex work, drug use and sex between men. This adds to the disease’ specific stigma and due these reasons, PLHIV are often rejected or denied to their fundamental rights The impact of HIV and related i is not limited to lowering the quality of life of PLHIV but it is also a barrier in responding to HIV epidemic effectively. Fear of discrimination prevents people from seeking treatment for HIV or disclosing their status openly. This increases further HIV transmission and exacerbates impacts of HIV and AIDS. Stigma is one of the serious obstacles towards achieving the goal of universal access of HIV prevention and cure. Related interventions in the international literature highlights the need for multidimensional strategies to address HIV and AIDS related stigmatization and discrimination through 3 main points; reducing and preventing stigma, challenging discrimination at institutional level and protecting and promoting human rights. Uganda is responding to stigma by implementing interventions such as service provision, media campaigns, empowering and mobilizing PLHIV e.t.c However there is still a big gap in the current interventions. It is recommended that Uganda should respond to stigmatization and discrimination through inter-related approaches by empowering PLHIV, working with and mobilizing family/health care settings, reforming laws and legislations, developing work place policies and imparting Knowledge through IEC and media information communication (IEC).

Olusakin Akindipe

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