Internal lean practices and performance: The role of technological turbulence
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Internal LM tools positively affect operational performance.
“Supply chain relationships positively affect internal LM tools, which, in turn, affect operational performance and organizational performance”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Chavez et al. (2015)
Internal LM tools positively affect organizational performance.
“Supply chain relationships positively affect internal LM tools, which, in turn, affect operational performance and organizational performance”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Chavez et al. (2015)
Supply chain relationships positively affect internal LM tools.
“Supply chain relationships positively affect internal LM tools, which, in turn, affect operational performance and organizational performance”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Chavez et al. (2015)
In developed countries, LM implementation improved market share, sales, profit margins, cost, labour productivity and lead time.
“market share, sales, profit margins, cost, labour productivity and lead time (Chavez et al. , 2015)”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Chavez et al., 2015
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Structural Equation Modelling: Guidelines for Determining Model Fit
Hooper, D., Coughlan, J., & Mullen, M. R. (2008) · Dublin Institute of Technology · doi:10.21427/d7cf7r · Cited by 8,746 · see citing works
Reliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884 · see citing works
The impact of internal integration and relationship commitment on external integration
Zhao, X., Huo, B., Selen, W., & Yeung, J. H. Y. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.04.004 · Cited by 813 · see citing works
Lean, leaner, too lean? The inventory–performance link revisited
Eroglu, C., & Hofer, C. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.05.002 · Cited by 440 · see citing works
The impact of just-in-time manufacturing on firm performance in the US
Huson, M., & Nanda, D. (1995) · Journal of Operations Management · doi:10.1016/0272-6963(95)00011-g · Cited by 261 · see citing works
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The moderating effect of environmental dynamism on green product innovation and performance
Chan, H. K., Yee, R. W. Y., Dai, J., & Lim, M. K. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.12.006 · Cited by 507 · see citing works
“Above can be explained through the lens of contingency theory because static theories or best practices for operations strategy are no longer effective (Sousa and Voss, 2008; Chavez et al., 2015).”
BackgroundA Systematic Literature Review on Recent Lean Research: State‐of‐the‐art and Future Directions
Danese, P., Manfè, V., & Romano, P. (2017) · International Journal of Management Reviews · doi:10.1111/ijmr.12156 · Cited by 356 · see citing works
The complementary effect of lean manufacturing and digitalisation on operational performance
Buer, S.-V., Semini, M., Strandhagen, J., & Sgarbossa, F. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1790684 · Cited by 301 · see citing works
“This indicates the absence of non-response bias (Khanchanapong et al. 2014; Chavez et al. 2015).”
BackgroundResultShashi, Centobelli, P., Cerchione, R., & Singh, R. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.02.011 · Cited by 278 · see citing works
Lean manufacturing and sustainable performance: Trends and future challenges
Henao, R., Sarache, W., & Gómez, I. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.10.116 · Cited by 274 · see citing works
Lean and green combine to impact environmental and operational performance
Inman, R. A., & Green, K. W. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1447705 · Cited by 259 · see citing works
“(2016); Chavez et al. (2015); Mitra and Datta (2014); Golicic and Smith (2013) (extensive lit review); Lee (2013); Lai and Wong (2012); Lee, Kim, and Choi (2012); Yang, Hong, and Modi (2011); Klassen and McLaughlin (1996) Direct impact not supported, impact of GSCMP on Operational Performance is indirect through Envir…”
BackgroundLean practices and their effect on performance: a literature review
Negrão, L. L. L., Godinho Filho, M., & Marodin, G. (2016) · Production Planning & Control · doi:10.1080/09537287.2016.1231853 · Cited by 243 · see citing works
Ogbeibu, S., Emelifeonwu, J., Senadjki, A., Gaskin, J. E., & Kaivo-oja, J. R. L. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118703 · Cited by 277 · see citing works
Performance of green supply chain management: A systematic review and meta analysis
Fang, C., & Zhang, J. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.02.171 · Cited by 217 · see citing works
“…large number of relative investigations, and one of the main streams is to empirically examine the performance of GSCM, which is supposed to provide companies with constructive guidance for the adoption of specific practices (e.g., Zhu and Sarkis, 2004; Chavez et al., 2015; Govindan et al., 2015).”
BackgroundSajan, M. P., Shalij, P. R., Ramesh, A., & Biju Augustine, P. (2017) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-12-2016-0188 · Cited by 231 · see citing works
Godinho Filho, M., Ganga, G. M. D., & Gunasekaran, A. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1201606 · Cited by 182 · see citing works
“Other studies that study the relationship between JIT/lean and performance under different ‘moderate’ factors are: Chavez et al. (2015), Bortolotti, Danese, and Romano (2013), Azadegan et al.”
BackgroundInfluentialGreen or lean? A supply chain approach to sustainable performance
Huo, B., Gu, M., & Wang, Z. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.01.141 · Cited by 193 · see citing works
Investing in lean manufacturing practices: an environmental and operational perspective
Bai, C., Satir, A., & Sarkis, J. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1498986 · Cited by 159 · see citing works
“This implies that organisations have extended adoption of LMPs through supply chain collaboration, with the ultimate goal of streamlining the broader life cycle of production processes (Chavez et al. 2015).”
BackgroundShehzad, M. U., Zhang, J., Dost, M., Ahmad, M. S., & Alam, S. (2022) · Journal of Intellectual Capital · doi:10.1108/jic-02-2022-0032 · Cited by 183 · see citing works
Yang, Y.-F., Lee, P. K. C., & Cheng, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.08.006 · Cited by 146 · see citing works
Lean product development and lean manufacturing: Testing moderation effects
Marodin, G., Frank, A. G., Tortorella, G. L., & Netland, T. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.07.009 · Cited by 139 · see citing works
Data-driven supply chains, manufacturing capability and customer satisfaction
Chavez, R., Yu, W.-T., Jacobs, M., & Feng, M. (2017) · Production Planning & Control · doi:10.1080/09537287.2017.1336788 · Cited by 128 · see citing works
“Some empirical research has focused on the relationship between individual forms of big data, e.g. volume and veracity, and multiple manufacturing capability dimensions (Chavez et al. 2015).”
BackgroundInfluentialSelf-citationOgbeibu, S., Emelifeonwu, J., Pereira, V. E., Oseghale, R. O., Gaskin, J. E., Sivarajah, U., & Gunasekaran, A. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3495 · Cited by 154 · see citing works
“ES implementations may consequently be impaired. et al., 2015; Oosthuizen, 2019; Vrontis et al., 2021).”
BackgroundAntony, J., Psomas, E., Garza-Reyes, J. A., & Hines, P. (2021) · Production Planning & Control · doi:10.1080/09537287.2020.1776410 · Cited by 116 · see citing works
“…Marodin et al. 2017; Thornton et al. 2019; Zahraee 2016 Supply chain Aamer 2018; Abushaikha, Salhieh, and Towers 2018; Bhasin 2011b; Birkie 2016; Chavez et al. 2015; DeSanctis et al. 2018; Dieste, Panizzolo, and Garza-Reyes 2019; Iyer, Srivastava, and Srinivasan 2019; Knol et al. 2018; Kull et…”
BackgroundInfluentialBuer, S.-V., Strandhagen, J. W., Semini, M., & Strandhagen, J. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-05-2019-0174 · Cited by 113 · see citing works
Partnership-Based Supply Chain Collaboration: Impact on Commitment, Innovation, and Firm Performance
Shin, N., Park, S. H., & Park, S. (2019) · Sustainability · doi:10.3390/su11020449 · Cited by 113 · see citing works
Is lean service promising? A socio-technical perspective
Hadid, W., Mansouri, S., & Gallear, D. (2016) · International Journal of Operations & Production Management · doi:10.1108/ijopm-01-2015-0008 · Cited by 110 · see citing works
“While this is the most common method in the literature and widely adopted by similar studies (e.g. Gligor et al., 2015; Chavez et al., 2013), there is some emerging evidence suggesting that senior managers may not always have detailed information on the practices used on a daily basis in their…”
MethodEntrepreneurial orientation of SMEs, total quality management and firm performance
Sahoo, S., & Yadav, S. (2017) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-04-2017-0064 · Cited by 119 · see citing works
Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach
Jain, V., & Raj, T. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.10.024 · Cited by 100 · see citing works
Manufacturing capability and organizational performance: The role of entrepreneurial orientation
Chávez, R., Yu, W., Jacobs, M. A., & Feng, M. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.10.028 · Cited by 94 · see citing works
“…manufacturing capability-performance link and the role of external characteristics of the environment such as the rate of innovation in industries (e.g., Nadkarni and Narayanan, 2007), environmental dynamism (e.g., Terjesen et al., 2011) and technological turbulence (e.g., Chavez et al., 2015a).”
InfluentialSelf-citationEvaluating lean manufacturing barriers: an interpretive process
Zhang, L. L., Narkhede, B. E., & Chaple, A. P. (2017) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-04-2017-0071 · Cited by 115 · see citing works
Research gaps in Lean manufacturing: a systematic literature review
Psomas, E., & Antony, J. (2019) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-12-2017-0260 · Cited by 93 · see citing works
Chavez, R., Yu, W.-T., Jajja, M., Song, Y.-T., & Nakara, W. A. (2020) · Production planning & control (Print) · doi:10.1080/09537287.2020.1839139 · Cited by 92 · see citing works
“Operational performance used a four-item scale derived from Chavez et al. (2015), including quality and cost aspects, which are representative dimensions of operational performance.”
BackgroundMethodSelf-citationZhou, C., Xia, W.-L., Feng, T., Jiang, J.-J., & He, Q.-S. (2020) · Sustainable Development · doi:10.1002/sd.2019 · Cited by 91 · see citing works
Xiang, Z., & Xu, M.-L. (2020) · Computers & industrial engineering · doi:10.1016/j.cie.2020.106538 · Cited by 89
Lean management in the context of construction supply chains
Meng, X. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1566659 · Cited by 89 · see citing works
“Chavez et al. (2015) completed an Ireland-wide questionnaire survey to link internal lean practices and supply chain partnerships because they believed”
BackgroundInfluentialLean six sigma in the food industry: Construct development and measurement validation
Costa, L. B. M., Filho, M. G., Fredendall, L. D., & Ganga, G. M. D. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107843 · Cited by 106 · see citing works
Maware, C., Okwu, M. O., & Adetunji, O. (2022) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-12-2020-0223 · Cited by 88 · see citing works
Bellisario, A., & Pavlov, A. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1432909 · Cited by 99 · see citing works
“…view of lean also emphasises the practice of involving customers in separating value-adding and waste-producing activities, thus helping to identify the sources of competitive advantage for the firm (Adamides et al. 2008; Jeffers 2010; Parry, Mills, and Turner 2010; Chavez et al. 2015).”
BackgroundBirkie, S. E., & Trucco, P. (2016) · Production Planning & Control · doi:10.1080/09537287.2015.1127446 · Cited by 86 · see citing works
“Therefore, technological turbulence, which may be crucial for fast moving consumer goods (e.g. Chavez et al. 2015), does not seem relevant for ETO in established capital goods manufacturing.”
BackgroundChávez, R., Yu, W., Jajja, M. S. S., Lecuna, A., & Fynes, B. (2020) · Business Strategy and the Environment · doi:10.1002/bse.2496 · Cited by 90 · see citing works
Self-citationLi, L., Zhu, W., Wei, L., & Yang, S. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121830 · Cited by 90 · see citing works
A meta-analytic study of the impact of Lean Production on business performance
Abreu-Ledón, R., Luján-García, D., Garrido‐Vega, P., & Escobar‐Pérez, B. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.03.015 · Cited by 78 · see citing works
Durmuşoğlu, S. S., Jacobs, M. A., Nayır, D. Z., Khilji, S. E., & Wang, X. (2014) · Journal of Knowledge Management · doi:10.1108/jkm-05-2013-0183 · Cited by 86 · see citing works
Self-citationDo lean manufacturing practices have negative impact on job satisfaction?
Minh, K. S., Zailani, S., Iranmanesh, M., & Heidari, S. (2019) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-11-2016-0072 · Cited by 77 · see citing works
Closed-loop supply chain games with innovation-led lean programs and sustainability
Genc, T. S., & Giovanni, P. D. (2020) · doi:10.1016/j.ijpe.2018.05.026 · Cited by 77
“max p, L Π = q(p, L)(p− w − cM + bML)− CL(L) } {{ } Forward profit + v(L)∆M } {{ } Backward profit (5)”
Akmal, A., Greatbanks, R., & Foote, J. L. (2020) · Health Policy · doi:10.1016/j.healthpol.2020.04.008 · Cited by 73 · see citing works
Extending lean management along the supply chain: impact on efficiency
Moyano-Fuentes, J., Maqueira-Marín, J. M., Martínez-Jurado, P., & Sacristán-Díaz, M. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-10-2019-0388 · Cited by 69 · see citing works
Dynamic capabilities linking lean practices and sustainable business performance
Mohaghegh, M., Blasi, S., & Größler, A. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129073 · Cited by 65 · see citing works
Dieste, M., Panizzolo, R., & Garza-Reyes, J. (2021) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-08-2020-0304 · Cited by 65 · see citing works
Lean manufacturing and business performance: testing the S-curve theory
Negrão, L., Jabbour, A. B. L. D. S., Latan, H., Godinho, M., Jabbour, C. J. C., & Ganga, G. (2020) · Production planning & control (Print) · doi:10.1080/09537287.2019.1683775 · Cited by 60 · see citing works
“…and operational performance (e.g., Godinho Filho, Ganga, and Gunasekaran 2016; Dora et al. 2013; Ghosh 2012), financial performance (e.g., Chavez et al. 2015; Dora et al. 2014; Fullerton, Kennedy, and Widener 2014; Yang, Hong, and Modi 2011) and environmental performance (Yang, Hong, and…”
BackgroundAssessing lean implementation and benefits within Indian automotive component manufacturing SMEs
Sahoo, S. (2020) · Benchmarking An International Journal · doi:10.1108/bij-07-2019-0299 · Cited by 79 · see citing works
Short-term versus long-term benefits: Balanced sustainability framework and research propositions
Wu, L., Subramanian, N., Abdulrahman, M. D.-A., Liu, C., & Pawar, K. S. (2016) · Sustainable Production and Consumption · doi:10.1016/j.spc.2016.09.003 · Cited by 68 · see citing works
Towards a theory for lean implementation in supply networks
Bortolotti, T., Romano, P., Martínez-Jurado, P. J., & Moyano-Fuentes, J. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.02.020 · Cited by 58 · see citing works
Potter, A., & Graham, S. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.10.336 · Cited by 56 · see citing works
The Challenges of Lean Transformation and Implementation in the Manufacturing Sector
Maware, C., & Parsley, D. M. (2022) · Sustainability · doi:10.3390/su14106287 · Cited by 52 · see citing works
From a Quality Management System (QMS) to a Lean Quality Management System (LQMS)
Bacoup, P., Michel, C., Habchi, G., & Pralus, M. (2017) · The TQM Journal · doi:10.1108/tqm-06-2016-0053 · Cited by 68 · see citing works
Assessing Lean adoption in food SMEs: Evidence from Greece
Psomas, E. L., Antony, J., & Bouranta, N. (2017) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-05-2016-0061 · Cited by 54 · see citing works
Castro-López, A., Entrialgo, M., Liao, C., & Santos-Vijande, M. L. (2024) · The International Entrepreneurship and Management Journal · doi:10.1007/s11365-024-01032-x · Cited by 48 · see citing works
“Technological turbulence refers to the rate of technological change in products and manufacturing processes over time within an industry (Chavez et al., 2015 ).”
Impact of CRM adoption on organizational performance
Ullah, A., Iqbal, S., & Shams, S. M. R. (2020) · doi:10.1108/cr-11-2019-0128 · Cited by 48
Missing performance management and measurement aspects in performance-based contracting
Glas, A. H., Henne, F. U., & Eßig, M. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-09-2016-0571 · Cited by 50 · see citing works
The relationship between investments in lean practices and operational performance
Onofrei, G., Prester, J., Fynes, B., Humphreys, P., & Wiengarten, F. (2019) · International Journal of Operations & Production Management · doi:10.1108/ijopm-04-2018-0201 · Cited by 45 · see citing works
Self-citationRiaz, M., Wu, J., Ali, Z., Sherani, & Liu, Y.-T. (2023) · European Journal of Innovation Management · doi:10.1108/ejim-08-2022-0409 · Cited by 44 · see citing works
Qazi, A. A., Appolloni, A., & Shaikh, A. R. (2022) · International Journal of Emerging Markets · doi:10.1108/ijoem-08-2021-1218 · Cited by 54 · see citing works
SWOT analysis of Industry 4.0 variables using AHP methodology and structural equation modelling
Jain, V., Ajmera, P., & Davim, J. P. (2021) · Benchmarking An International Journal · doi:10.1108/bij-10-2020-0546 · Cited by 51 · see citing works
Lean practices and operational performance: the role of organizational culture
Sahoo, S. (2021) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-03-2020-0067 · Cited by 38 · see citing works
Investigating and analyzing the supply chain practices and performance in agro-food industry
Puška, A., Kozarević, S., & Okičić, J. (2020) · International Journal of Management Science and Engineering Management · doi:10.1080/17509653.2019.1582367 · Cited by 38
“Customers’ relationships Customers’ relationships are an essential element of a supply chain (Chavez et al., 2014).”
BackgroundFuture research methodologies of lean manufacturing: a systematic literature review
Psomas, E. (2021) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-06-2020-0082 · Cited by 37 · see citing works
Desanctis, I., Meré, J. B. O., Bevilacqua, M., & Ciarapica, F. (2018) · Production planning & control (Print) · doi:10.1080/09537287.2018.1494345 · Cited by 37 · see citing works
“In particular, Chavez et al. (2015) underlined the importance of establishing clear and effective channels for communication upstream (suppliers) and downstream (customers).”
BackgroundBhutta, M. K., Muzaffar, A., Egilmez, G., Huq, F., Warriach, M. A., & Malik, M. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.08.015 · Cited by 36 · see citing works
Zhang, B., Niu, Z.-W., & Liu, C. (2020) · doi:10.3390/su12030956 · Cited by 36
“However, in the actual lean practice process, relevant management personnel have obvious deficiencies in mastering lean knowledge [33].”
BackgroundArumugam, V., Kannabiran, G., & Vinodh, S. (2020) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2020.1791067 · Cited by 40 · see citing works
“…the results showed that the hypotheses (H1a, H1b, H1c, H1d, H1e) which were developed to know the relationship between lean technical practice and organisational performance are very significant, and they confirm the existing literature results (Chavez et al., 2015; Sajan et al., 2017).”
ResultLean and agile supply chain strategies: the role of mature and emerging information technologies
de Oliveira-Dias, D., Maqueira-Marín, J. M., & Moyano-Fuentes, J. (2022) · International Journal of Logistics Management · doi:10.1108/ijlm-05-2022-0235 · Cited by 34 · see citing works
Interpretive framework for analyzing lean implementation using ISM and IRP modeling
Chaple, A. P., Narkhede, B. E., Akarte, M., & Raut, R. D. (2018) · Benchmarking An International Journal · doi:10.1108/bij-07-2017-0177 · Cited by 35 · see citing works
Impact of implementing lean practices on firm performance: a study of Northern India SMEs
Saini, S., & Singh, D. (2020) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-06-2019-0069 · Cited by 49 · see citing works
Does digitalization enhance the effects of lean production on social performance?
Chávez, R., Yu, W., Jacobs, M. A., & Wong, C. Y. (2024) · International Journal of Operations & Production Management · doi:10.1108/ijopm-05-2023-0332 · Cited by 44 · see citing works
Self-citationOperational excellence framework for sustainability in the organisation: a design science approach
Naik, S. S., Sony, M., Antony, J., McDermott, O., Tortorella, G., & Jayaraman, R. (2023) · Production Planning & Control · doi:10.1080/09537287.2023.2165188 · Cited by 31 · see citing works
“Some of the measures of operational performance captured in previous studies are unit cost, quality, lead time, waste elimination, and flexibility (B € uy € uk € ozkan, Kayakutlu, and Karakad ı lar 2015; Chavez et al. 2015; Panwar et al. 2017).”
Genc, T. S. (2021) · Annals of Operations Research · doi:10.1007/s10479-021-04037-9 · Cited by 31
Understanding big data-driven supply chain and performance measures for customer satisfaction
Thekkoote, R. (2021) · Benchmarking An International Journal · doi:10.1108/bij-01-2021-0034 · Cited by 33 · see citing works
Inventory component volatility and its relation to returns
Bendig, D., Brettel, M., & Downar, B. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.03.012 · Cited by 30 · see citing works
The performance effects of complementary management control mechanisms
Nielsen, H., Kristensen, T. B., & Grasso, L. P. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-09-2016-0577 · Cited by 40 · see citing works
Ariadi, G., Surachman, S., Sumiati, ., & Rohman, F. (2021) · Cogent Business & Management · doi:10.1080/23311975.2021.1930500 · Cited by 28 · see citing works
The impact of lean practices on performance: based on meta-analysis and Bayesian network
Liu, C., Niu, Z.-W., & Li, Q.-L. (2020) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2018.1471352 · Cited by 29 · see citing works
“…11, 1225–1242, https://doi.org/10.1080/14783363.2018.1471352 such as correlation analysis (Bortolotti et al., 2015a), regression analysis (Azadegan et al., 2013; Fullerton, Kennedy, & Widener, 2014) and structural equation model (Chavez et al., 2015; Vinodh & Joy, 2012; Fullerton & Wempe, 2009).”
BackgroundInfluentialSrinivasan, M., Srivastava, P. K., & Iyer, K. N. S. (2020) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2020.1781539 · Cited by 29 · see citing works
Birkie, S. E., Trucco, P., & Kaulio, M. A. (2017) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-12-2016-0077 · Cited by 28 · see citing works
“correlated with the lean practices within the firm (Chavez et al., 2015).”
BackgroundResultInfluentialA meta-analytic investigation of lean practices and their impact on organisational performance
Antony, J., Swarnakar, V., Cudney, E., & Pepper, M. P. J. (2021) · Total Quality Management and Business Excellence · doi:10.1080/14783363.2021.2003194 · Cited by 26 · see citing works
“In terms of results, Chavez et al. (2015) observed a positive relationship between lean and organisational performance when they considered technology change as moderating variable.”
BackgroundYang, Y.-F., Lee, P. K. C., & Cheng, T. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.03.014 · Cited by 26 · see citing works
Jain, V., & Ajmera, P. (2019) · International Journal of System Assurance Engineering and Management · doi:10.1007/s13198-019-00770-4 · Cited by 25 · see citing works
Strategic lean actions for sustainable competitive advantage
Hallam, C. R. A., Valerdi, R., & Contreras, C. (2017) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-10-2016-0177 · Cited by 33 · see citing works
Basu, P., Ghosh, I., & Dan, P. K. (2018) · Management Science Letters · doi:10.5267/j.msl.2017.10.001 · Cited by 24 · see citing works
“The population of interest was all industries with manufacturing facilities in India and having number of employees exceeding 100 (Chavez et al., 2015; Shah & Ward, 2003).”
BackgroundInfluentialAl-Hakimi, M. A., Goaill, M., Al-Hattami, H. M., Murshid, M. A., Saleh, M. H., & Moghalles, S. A. M. (2022) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-12-2021-0443 · Cited by 23 · see citing works
Nawanir, G., Lim, K. T., Ramayah, T., Mahmud, F., Lee, K.-L., & Maarof, M. G. (2020) · Benchmarking An International Journal · doi:10.1108/bij-05-2019-0205 · Cited by 23 · see citing works
Learning lean: rhythm of production and the pace of lean implementation
Netland, T. H., Schloetzer, J. D., & Ferdows, K. (2021) · International Journal of Operations & Production Management · doi:10.1108/ijopm-02-2020-0092 · Cited by 24 · see citing works
“…et al. 2014; Netland and Ferdows 2016), the type of management control practices in the plant (Netland et al. 2015), and environmental dynamics, measured by market growth (Eroglu and Hofer 2011), rate of change in technology (Chavez et al. 2015), or demand variability (Bortolotti et al. 2013).”
BackgroundPotter, A., & Paulraj, A. (2021) · Research Policy · doi:10.1016/j.respol.2021.104200 · Cited by 21 · see citing works
Impact of lean manufacturing: evidence from apparel industry in Bangladesh
Bashar, A., Hasin, A. A., & Adnan, Z. (2021) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-01-2020-0005 · Cited by 21 · see citing works
Inventory Management Practices and Operational Performance of Manufacturing Firms in Ghana
Opoku, R. K., Fiati, H. M., Kaku, G., Ankomah, J., & Agyemang, F. O. (2020) · Advances in Research · doi:10.9734/air/2020/v21i1030246 · Cited by 24 · see citing works
“The study’s findings were in line with previous studies by [67,68,98,122] who found positive relationships between inventory management practices (IMP) and performance of manufacturing firms in some developing economies.”
BackgroundResultRevitalising the setup reduction activities in Operations Management
Pacheco, D. A. D. J., & Heidrich, G. D. G. (2021) · Production planning & control (Print) · doi:10.1080/09537287.2021.1964881 · Cited by 20 · see citing works
“…(Silva and Filho 2019; Lozano et al. 2019; Bidarra et al. 2018; Braglia, Frosolini, and Gallo 2017; D ıaz-Reza et al. 2017; M endez and Rodr ıguez 2016; Braglia, Frosolini, and Gallo 2017; Chavez et al. 2015; Almomani et al. 2013; Ferrad as and Salonitis 2013; Yu 2012; Conceicao et al. 2009).”
BackgroundAssessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS
Liu, C., Niu, Z.-W., Chang, P., & Zhang, B. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1355124 · Cited by 20 · see citing works
“(3) The speed of lean performance improvement: As a kind of process optimization method (Samuel, Found, and Williams 2015), lean production has a positive relationship to enterprise performance, which has been verified in multiple studies (Chavez et al. 2015).”
MethodMinshull, L. K., Dehe, B., & Kotcharin, S. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.06.052 · Cited by 23 · see citing works
Hashem, G., & Aboelmaged, M. (2023) · Benchmarking : An International Journal · doi:10.1108/bij-03-2022-0199 · Cited by 19 · see citing works
A Synergetic Framework for Green and Lean Manufacturing Practices in SMEs: Saudi Arabia Perspective
Abualfaraa, W., Almanei, M., Kaur, R., Al-Ashaab, A., Mclaughlin, P., & Salonitis, K. (2022) · Sustainability · doi:10.3390/su15010596 · Cited by 19 · see citing works
Godinho, M., Marchesini, A. G., Riezebos, J., Vandaele, N., & Ganga, G. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.08.006 · Cited by 19 · see citing works
“…the world (e.g., White et al., 1999; Matson and Matson, 2007; Hokoma et al., 2010; Dora et al., 2014; Alcaraz et al., 2014; Bortolotti et al., 2015; Chavez et al., 2015; Vasanthakumar et al., 2016; Godinho Filho et al., 2016a; Shaaban and Darwish, 2016; Bevilacqua et al., 2015; Birkie and Trucco,…”
Basu, P., Chatterjee, D., Ghosh, I., & Dan, P. K. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-12-2019-0455 · Cited by 24 · see citing works
Jun, W.-S., Yi, H., & Amenuvor, F. E. (2024) · Marketing Intelligence & Planning · doi:10.1108/mip-10-2023-0528 · Cited by 21 · see citing works
Impact of psychological safety on supply chain operational performance
Lee, B. W., Nittala, L., Jacobs, M., & Yu, W.-T. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.2017052 · Cited by 17 · see citing works
“A review of the literature reveals that it is common to aggregate aspects of these dimensions into a single construct (e.g. Chavez et al. 2015; Swink, Narasimhan, and Kim 2005; Swink, Narasimhan, and Wang 2007).”
BackgroundSelf-citation
- Authors
- Chavez, R., Yu, W., Jacobs, M., Fynes, B., Wiengarten, F., & Lecuna, A.
- Affiliations
- University of East Anglia (GB)
- University of Dayton (US)
- University College Dublin (IE)
- Esade (ES)
- Universidad del Desarrollo (CL)
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 160
- Pages
- 157-171
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2036950529
- Cited by
- 200
- References
- 158
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 23 · 2023: 14 · 2022: 12 · 2021: 24 · 2020: 29 · 2019: 22 · 2018: 24 · 2017: 16 · 2016: 8 · 2015: 7
- FWCI
- 22.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Derby Online Research Archive. (University of Derby) (submittedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- lean manufacturing, technological turbulence, supplier partnerships, customer relationships, supply chain relationships, resource dependence theory, operational performance, organizational performance, manufacturing companies, moderating effect
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