Smart production systems drivers for business process management improvement

Emerald - Tập 26 Số 5 - Trang 1075-1092 - 2020
Maciel M. Queiroz1, Samuel Fosso Wamba2, Márcio Cardoso Machado1, Renato Telles1
1Postgraduate Program in Business Administration, UNIP, São Paulo, Brazil
2Department of Information, Operations and Management Sciences, Toulouse Business School, Toulouse, France

Tóm tắt

PurposeThe Industry 4.0 phenomenon offers opportunities and challenges to all business models. Despite the literature advances in this field, little attention has been paid to the interplay of smart production systems (SPSs), big data analytics (BDA), cyber-physical systems (CPS), internet of things (IoT), and the potential business process management (BPM) improvements. This study aims to identify the main drivers and their implications for improved BPM.Design/methodology/approachThis study employed a narrative literature review of studies concerning smart-production-systems-related issues in the context of Industry 4.0.FindingsThe study identified 26 drivers from the literature associated with SPSs that have an impact on improved BPM. These drivers are presented in an integrative framework considering BDA, CPS, and the IoT.Research limitations/implicationsThe framework's component integration is yet not tested. However, this study offers a significant theoretical contribution by presenting drivers that can be utilised to develop constructs, exploring critical factors related to the interplay of SPSs and improved BPM, and shading light on Industry 4.0's main elements. The study also makes suggestions for further research.Practical implicationsThe proposed framework, with its 26 drivers, provides insights for practitioners and decision-makers interested in gaining an in-depth understanding of the complexities of SPSs and improved BPM.Originality/valueThis study integrates BDA, CPS, and IoT into a framework with 26 drivers associated with SPSs to improve BPM.

Từ khóa


Tài liệu tham khảo

2018, Indian smart cities and cleaner production initiatives – integrated framework and recommendations, Journal of Cleaner Production, 3351, 10.1016/j.jclepro.2017.11.250

2016, How to improve firm performance using big data analytics capability and business strategy alignment?, International Journal of Production Economics, 182, 113, 10.1016/j.ijpe.2016.08.018

2003, An approach for identifying value in business processes, Journal of Knowledge Management, 7, 49, 10.1108/13673270310492949

2015, Microinsurance performance – a systematic narrative literature review, Corporate Governance (Bingley), 15, 146, 10.1108/CG-08-2014-0098

2018, A bibliometric analysis of research on Big Data analytics for business and management, Management Decision, 10.1108/MD-07-2018-0754

2015, Applications of big data to smart cities, Journal of Internet Services and Applications, 6, 1, 10.1186/s13174-015-0041-5

2015, A secure cloud computing based framework for big data information management of smart grid, IEEE Transactions on Cloud Computing, 3, 233, 10.1109/TCC.2014.2359460

2018, The IoT for smart sustainable cities of the future: an analytical framework for sensor-based big data applications for environmental sustainability, Sustainable Cities and Society, 230, 10.1016/j.scs.2017.12.034

2017, ICT of the new wave of computing for sustainable urban forms: their big data and context-aware augmented typologies and design concepts, Sustainable Cities and Society, 449, 10.1016/j.scs.2017.04.012

2017, The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis, Journal of Big Data, 10.1186/s40537-017-0091-6

2017, Sustaining employability: a process for introducing cloud computing, big data, social networks, mobile programming and cybersecurity into academic curricula, Sustainability (Switzerland), 9, 10.3390/su9122235

2018, Intertwining the internet of things and consumers' behaviour science: future promises for businesses, Technological Forecasting and Social Change, 136, 277, 10.1016/j.techfore.2018.03.019

2017, Content analysis within intangible assets disclosure: a structured literature review, Journal of Intellectual Capital, 18, 506, 10.1108/JIC-11-2016-0123

2014, The impact of supply chain analytics on operational performance: a resource-based view, International Journal of Production Research, 4695, 10.1080/00207543.2013.861616

2016, A model to compare cloud and non-cloud storage of Big Data, Future Generation Computer Systems, 56, 10.1016/j.future.2015.10.003

2018, Modelling the drivers for sustainable agri-food waste management, Benchmarking, 25, 981, 10.1108/BIJ-07-2017-0196

2018, Big data visualisation, geographic information systems and decision making in healthcare management, Management Decision, 10.1108/MD-07-2018-0835

2017, Cyber-physical systems: a case study of development for manufacturing industry, International Journal of Computer Applications in Technology, 289, 10.1504/IJCAT.2017.086018

2017, The barriers and drivers of seafood consumption in Australia: a narrative literature review, International Journal of Consumer Studies, 41, 299, 10.1111/ijcs.12342

2016, Blockchains and smart contracts for the internet of things, IEEE Access, 2292, 10.1109/ACCESS.2016.2566339

2015, Leveraging big data for the development of transport sustainability indicators, Journal of Urban Technology, 45, 10.1109/ACCESS.2016.2566339

2015, Smart manufacturing, Annual Review of Chemical and Biomolecular Engineering, 6, 141, 10.1146/annurev-chembioeng-061114-123255

2017, Information systems and sustainable supply chain management towards a more sustainable society: where we are and where we are going, International Journal of Information Management, 37, 241, 10.1016/j.ijinfomgt.2016.12.004

2018, Decarbonisation of operations management – looking back, moving forward: a review and implications for the production research community, International Journal of Production Research, 1, 10.1080/00207543.2017.1421790

2018, When titans meet - can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors, Technological Forecasting and Social Change, 0, 10.1016/j.techfore.2018.01.017

2016, Discovering the internet of things (IoT) within the business process management, Business Process Management Journal, 22, 263, 10.1108/BPMJ-12-2015-0173

2015, Big data analytics for dynamic energy management in smart grids, Big Data Research, 94, 10.1016/j.bdr.2015.03.003

2006, Intangible resources: a categorial system of knowledge and other intangible assets, Journal of Intellectual Capital, 7, 406, 10.1108/14691930610681483

2017, Smart energy systems for a sustainable future, Applied Energy, 225, 10.1016/j.apenergy.2016.12.058

2016, The impact of big data on world-class sustainable manufacturing, International Journal of Advanced Manufacturing Technology, 84, 631, 10.1007/s00170-015-7674-1

2017, Smart manufacturing and energy systems, Computers and Chemical Engineering, 10.1016/j.compchemeng.2017.10.027

2016, Supply chain criticality in sustainable and resilient enterprises, Journal of Modelling in Management, 11, 869, 10.1108/JM2-10-2014-0078

2016, Tangible industry 4.0: a scenario-based approach to learning for the future of production, Procedia CIRP, 13, 10.1016/j.procir.2016.03.162

2015, Distributed generation by energy from waste technology: a life cycle perspective, Process Safety and Environmental Protection, 161, 10.1016/j.psep.2014.03.008

2018, Ambidextrous IT capabilities and business process performance: an empirical analysis, Business Process Management Journal, 24, 1077, 10.1108/BPMJ-07-2017-0201

2017, How to generate economic and sustainability reports from big data? Qualifications of process industry, Processes, 5, 10.3390/pr5040064

2018, Housing market trend forecasts through statistical comparisons based on big data analytic methods, Journal of Management in Engineering, 34, 1, 10.1061/(ASCE)ME.1943-5479.0000583

2017, Managing extracted knowledge from big social media data for business decision making, Journal of Knowledge Management, 21, 275, 10.1108/JKM-07-2015-0296

2016, Holistic approach for human resource management in industry 4.0, Procedia CIRP, 54, 1, 10.1016/j.procir.2016.05.102

2017, Information and reformation in KM systems: big data and strategic decision-making, Journal of Knowledge Management, 21, 71, 10.1108/JKM-07-2015-0293

2017, Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management, International Journal of Operations and Production Management, 37, 10, 10.1108/IJOPM-02-2015-0078

2015, Utilizing “big data” to improve the hotel sector's energy efficiency: lessons from recent economics research, Cornell Hospitality Quarterly, 57, 202, 10.1177/1938965515619489

2017, Big data text analytics: an enabler of knowledge management, Journal of Knowledge Management, 21, 18, 10.1108/JKM-06-2015-0238

2016, Methods and tools for performance assurance of smart manufacturing systems, Journal of Research of the National Institute of Standards and Technology, 121, 287, 10.6028/jres.121.013

2016, How will smart city production systems transform supply chain design: a product-level investigation, International Journal of Production Research, 7181, 10.1080/00207543.2016.1198057

2018, Exploring the success factors for examining the potential of manufacturing system output, Benchmarking: An International Journal, 25, 1171, 10.1108/BIJ-10-2016-0156

2015, Smart factory systems, Informatik-Spektrum, 38, 230, 10.1007/s00287-015-0891-z

2015, A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems, Manufacturing Letters, 18, 10.1016/j.mfglet.2014.12.001

2018, Toward open manufacturing: a cross-enterprises knowledge and services exchange framework based on blockchain and edge computing, Industrial Management and Data Systems, 118, 303, 10.1108/IMDS-04-2017-0142

2017, The concepts of big data applied in personal knowledge management, Journal of Knowledge Management, 21, 213, 10.1108/JKM-07-2015-0298

2009, Challenges and opportunities in collaborative business process management: overview of recent advances and introduction to the special issue, Information Systems Frontiers, 11, 201, 10.1007/s10796-008-9089-0

2018, Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations, Annals of Operations Research, 10.1007/s10479-018-2772-8

2017, Carbon management of infrastructure performance: integrated big data analytics and pavement-vehicle-interactions, Journal of Cleaner Production, 142, 956, 10.1016/j.jclepro.2016.06.198

2000, The value creation index, Journal of Intellectual Capital, 1, 252, 10.1108/14691930010377919

2018, Resource virtualization: a core technology for developing cyber-physical production systems, Journal of Manufacturing Systems, 128, 10.1016/j.jmsy.2018.05.003

2017, Smart energy and smart energy systems, Energy, 556, 10.1016/j.energy.2017.05.123

2017, Analysis on spatial-temporal features of taxis' emissions from big data informed travel patterns: a case of Shanghai, China, Journal of Cleaner Production, 142, 926, 10.1016/j.jclepro.2016.05.161

2017, Mitigating supply chain risk via sustainability using big data analytics: evidence from the manufacturing supply chain, Sustainability, 9, 608, 10.3390/su9040608

2017, Increasing smart city competitiveness and sustainability through managing structural capital, Journal of Intellectual Capital, 18, 693, 10.1108/JIC-12-2016-0141

2017, Making sense of Big Data – can it transform operations management?, International Journal of Operations and Production Management, 37, 37, 10.1108/IJOPM-02-2015-0084

2017, Teaching smart production: an insight into the learning factory for cyber-physical production systems (LVP), Procedia Manufacturing, 269, 10.1016/j.promfg.2017.04.034

2016, Evaluating the innovation of the internet of things, Business Process Management Journal, 22, 341, 10.1108/BPMJ-05-2015-0077

2017, Big data framework for analytics in smart grids, Electric Power Systems Research, 369, 10.1016/j.epsr.2017.06.006

2018, A novel SMART energy system for using biomass energy effectively, Renewable Energy, 492, 10.1016/j.renene.2017.09.049

2017, Antecedents and effects of emotions in strategic decision-making: a literature review and conceptual model, Management Review Quarterly, 175, 10.1007/s11301-017-0127-1

2017, Interfacing applications for uncertainty reduction in smart energy systems utilizing distributed intelligence, Renewable and Sustainable Energy Reviews, 1312, 10.1016/j.rser.2017.05.180

2011, Collaborative business process management: status quo and quo vadis, Business Process Management Journal, 17, 384, 10.1108/14637151111136342

2017, Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study, Scientometrics, 463, 10.1007/s11192-017-2281-6

2018, General concepts of goals and goal-setting in healthcare: a narrative review, Journal of Management and Organization, 1, 10.1017/jmo.2018.11

2017, Does big data mean big knowledge? KM perspectives on big data and analytics, Journal of Knowledge Management, 21, 1, 10.1108/JKM-08-2016-0339

2017, A social life cycle assessment methodology for smart manufacturing: the case of study of a kitchen sink, Journal of Industrial Information Integration, 24, 10.1016/j.jii.2017.04.001

2015, An analytical journey towards big data, Journal of Decision Systems, 24, 87, 10.1080/12460125.2015.994333

2016, A categorical framework of manufacturing for industry 4.0 and beyond, Procedia CIRP, 52, 173, 10.1016/j.procir.2016.08.005

2018, Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach, Management Decision, 10.1108/MD-04-2018-0378

2017, Distributed manufacturing network models of smart and agile mini-factories, International Journal of Agile Systems and Management, 10, 185, 10.1504/IJASM.2017.088534

2016, Big data reduction framework for value creation in sustainable enterprises, International Journal of Information Management, 917, 10.1016/j.ijinfomgt.2016.05.013

2017, Leveraging big data tools and technologies: addressing the challenges of the water quality sector, Sustainability (Switzerland), 9, 10.3390/su9122160

2017, Big data systems: knowledge transfer or intelligence insights?, Journal of Knowledge Management, 21, 92, 10.1108/JKM-07-2015-0300

2017, Shifting intra- and inter-organizational innovation processes towards digital business: an empirical analysis of SMEs, Creativity and Innovation Management, 26, 247, 10.1111/caim.12221

2016, Internet of Things: applications and challenges in smart cities. A case study of IBM smart city projects, Business Process Management Journal, 22, 357, 10.1108/BPMJ-05-2015-0074

2019, Knowledge transfer in open innovation, Business Process Management Journal, 25, 144, 10.1108/BPMJ-06-2017-0173

2016, Envisioning the digital sustainability panopticon: a thought experiment of how big data may help advancing sustainability in the digital age, Sustainability Science, 845, 10.1007/s11625-016-0381-5

2015, Big Data issues and opportunities for electric utilities, Renewable and Sustainable Energy Reviews, 52, 937, 10.1016/j.rser.2015.07.128

2016, Opportunities of sustainable manufacturing in industry 4.0, Procedia CIRP, 536, 10.1016/j.procir.2016.01.129

2016, Big data processing for renewable energy telemetry using a decentralized cloud M2M system, Wireless Personal Communications, 1113, 10.1007/s11277-015-2527-7

2016, Emerging ICT concepts for smart, safe and sustainable industrial systems, Computers in Industry, 81, 1, 10.1016/j.compind.2016.05.001

2017, Big data issues in smart grid – a review, Renewable and Sustainable Energy Reviews, 79, 1099, 10.1016/j.rser.2017.05.134

2017, Aspects of risk management implementation for industry 4.0, Procedia Manufacturing, 1223, 10.1016/j.promfg.2017.07.248

2017, How the Internet of Things can help knowledge management: a case study from the automotive domain, Journal of Knowledge Management, 21, 57, 10.1108/JKM-07-2015-0291

2017, Conceptualizing playfulness for reflection processes in responsible research and innovation contexts: a narrative literature review, Journal of Responsible Innovation, 43, 10.1080/23299460.2017.1326258

2017, An intelligent approach to Big Data analytics for sustainable retail environment using Apriori-MapReduce framework, Industrial Management and Data Systems, 10.1108/IMDS-09-2016-0367

2017, Investigating the effects of smart production systems on sustainability elements, Procedia Manufacturing, 731, 10.1016/j.promfg.2017.02.094

2017, Big data analytics and firm performance: effects of dynamic capabilities, Journal of Business Research, 70, 356, 10.1016/j.jbusres.2016.08.009

2015, Current status and advancement of cyber-physical systems in manufacturing, Journal of Manufacturing Systems, 517, 10.1016/j.jmsy.2015.04.008

2016, Towards smart factory for Industry 4.0: a self-organized multi-agent system with big data based feedback and coordination, Computer Networks, 101, 158, 10.1016/j.comnet.2015.12.017

2016, Implementing smart factory of industrie 4.0: an outlook, International Journal of Distributed Sensor Networks, 10.1155/2016/3159805

2017, Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care, Journal of Knowledge Management, 21, 517, 10.1108/JKM-08-2015-0301

2016, Smart supply chain management: a review and implications for future research, The International Journal of Logistics Management, 27, 395, 10.1108/IJLM-02-2014-0035

2015, Computer-integrated manufacturing, cyber-physical systems and cloud manufacturing - concepts and relationships, Manufacturing Letters, 5, 10.1016/j.mfglet.2015.11.005

2017, Smart manufacturing for the oil refining and petrochemical industry, Engineering, 179, 10.1016/J.ENG.2017.02.012

2017, A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products, Journal of Cleaner Production, 10.1016/j.jclepro.2016.07.123

2017, A framework for Big Data driven product lifecycle management, Journal of Cleaner Production, 159, 229, 10.1016/j.jclepro.2017.04.172

2017, Intelligent manufacturing in the context of industry 4.0: a review, Engineering, 616, 10.1016/J.ENG.2017.05.015

2016, Understanding household energy consumption behavior: the contribution of energy big data analytics, Renewable and Sustainable Energy Reviews, 56, 810, 10.1016/j.rser.2015.12.001