Surajit Bag

@article{rahman_2826,

title = {Understanding and predicting customers' intentions to use smartphone-based online games: A deep-learning-based dual-stage modelling analysis},

author = {Muhammad Sabbir Rahman and Surajit Bag and Farhana Habib Zinnia and Nripendra. P. Rana and Mohammad Osman Gani},

url = {https://www.sciencedirect.com/science/article/pii/S074756322300434X},

year  = {2024},

date = {2024-03-01},

journal = {Computers In Human Behavior},

volume = {152},

pages = {108083},

abstract = {Building upon flow theory, the present research empirically investigates the impact of customers' attitudes on their intention to use smartphone-based online gaming. It also examines the mediating effects of customers' perceived flow and engagement between attitudes and customer's intention to use smartphone-based online gaming. Furthermore, customers' cognitive involvement was also examined as a moderator in between attitude and perceived flow. The data were analysed using a dual-stage hybrid method embedded with PLS-SEM and ANN. A sample of 688 smartphone-based online game players was surveyed, and the results support the notion that customers' attitudes, considered as a formative construct, significantly influence intention to use smartphone-based online gaming. The study further confirms that perceived flow and customer engagement mediate the relationship between attitudes and intention to use smartphone-based online gaming. The study also identifies the role of cognitive involvement as a significant moderator in between customers' attitudes and perceived flow. Contributions for both theory and practice are presented in the concluding sections.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2940,

title = {Building digital technology and innovative lean management capabilities for enhancing operational performance: an empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Jitendra Sharma and Andrea Chiarini and Santosh Kumar Srivastava and Shivam Gupta},

url = {https://www.tandfonline.com/doi/abs/10.1080/09537287.2024.2327344},

year  = {2024},

date = {2024-03-01},

journal = {Production Planning & Control},

abstract = {The study examines the direct effect of digital technology capability on innovative lean management capability and the indirect effect on operational performance. We considered continuous learning as a moderator, such that continuous learning could influence the relationships (i.e. digital technology capability and innovative lean management capability). We considered the overall satisfaction of employees as a moderator and empirically tested the relationships. The theoretical model was conceptualised by keeping the dynamic capability view in mind. The samples for the online survey were selected from food supply chain (FSC) firms. Hypothesis testing was performed and findings indicate that lower-order capabilities, such as adaptability, agility, and alignment capabilities, play a critical role in developing dynamic capability, that is, digital technology capability, which helps in achieving superior operational performance. However, innovative lean management capability plays a partial mediation role between digital technology capability and operational performance. A moderating role for continuous learning and overall satisfaction of employees was also supported. FSC firms should consider these factors to enhance operational performance in a dynamic business environment.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{bag_2393,

title = {Navigating circular economy: Unleashing the potential of political and supply chain analytics skills among top supply chain executives for environmental orientation, regenerative supply chain practices, and supply chain viability},

author = {Surajit Bag and Muhammad Sabbir Rahman},

url = {https://onlinelibrary.wiley.com/doi/10.1002/bse.3507},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {504-528},

abstract = {In a changing business environment, firms encounter significant challenges to fulfill sustainable development goals. However, firms can make substantial progress by adopting regenerative approaches grounded in circular economy principles, enabling them to effectively pursue sustainable development objectives such as responsible production and consumption (goal 12), climate action (goal 13), and the preservation of life on land (goal 15). However, there is a scarcity of research studies that offer guidance to top supply chain (SC) executives, aiming to enhance their environmental focus and enhance the SC viability through regenerative SC practices. This study employed the philosophical perspective of the natural resource-based view. Advancing the SC literature, it tested a theoretical model to investigate the relationship between the political skills and SC analytics skills of top SC executives and the environmental orientation of SCs. Additionally, it examined the direct and indirect (via regenerative SC) relationships between a firm's environmental orientation and SC viability. This study also tested the moderating role of a firm's artificial intelligence-driven big data analytics culture in these relationships. Applying a mixed-methods approach, the study derived a theoretical model to link the aforementioned constructs. Apart from a qualitative investigation, data were also collected through a questionnaire-based survey from 375 samples. The results indicated that the relationship between the political skills and SC analytics skills of top SC executives toward the environmental orientation of SCs is significant. Furthermore, they indicated that a firm's environmental orientation is positively related to a regenerative SC, which in turn enhances SC viability. The findings also provided evidence that a firm's AI-driven big data analytics culture enhances the strength of these relationships. The current study extends the knowledge base by integrating the two unique concepts of digitalization and circular economy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2418,

title = {Buyer-supplier partnerships and circular economy performance in food supply chains: Serial mediation by commitment contract and innovation performance},

author = {Surajit Bag and Muhammad Sabbir Rahman and Gautam Srivastava and Peter Kilbourn and Nishikant Mishra},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3549},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1247-1264},

abstract = {The study investigates the impact of buyer-supplier partnerships on the performance of the circular economy (CE) in the food supply chain (FSC). Then, it also examines the effect of commitment contracts and innovation on the performance of the FSC. The research model is developed using behavioural economics concepts and collaborative theory. Furthermore, five research hypotheses are tested using samples from food manufacturers and other related supply chain partners. Covariance-based structural equation modelling technique is used in this study, and necessary tests were done to ensure the high quality of findings. Buyer-supplier partnerships demonstrate both direct and indirect effects on the CE performance in FSC. The findings supported the serial mediation effect wherein buyer-supplier partnerships are found to exert their impact on the CE in FSC through commitment contracts and innovation performance in a successive way. The uniqueness of this study lies in the use of behavioural economics concepts to enhance CE performance. The study advances knowledge of commitment contracts by indicating whether and how it connects to CE performance results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2419,

title = {Data-driven insights for circular and sustainable food supply chains: An empirical exploration of big data and predictive analytics in enhancing social sustainability performance},

author = {Surajit Bag and Gautam Srivastava and Anass Cherrafi and Ahad Ali and Rajesh Kumar Singh},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3554},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1369-1396},

abstract = {Although the circular economy is commonly used among industries in developing countries to achieve carbon neutrality targets, its impact on social sustainability must be clarified. Stakeholders (for instance, community stakeholders) have been observed to be unaware of the focal firm's circular supply chain activities. Because this gap has not been generally reflected in the literature, it is critical to perform an empirical study to bridge the gap between theory and practice. The goal of this research was to determine whether new technologies such as big data and predictive analytics might influence an organization's propensity to share information related to circular economy practices with stakeholders as well as to increase connectivity with those stakeholders in the Industry 4.0 era. We also investigated whether these actions could increase stakeholder trust and engagement and social sustainability as a result. We tested our theoretical model using samples from food supply chain firms in South Africa. Confirmatory factor analysis was conducted using WarpPLS 7.0 software. The findings show that firms that deploy big data and predictive analytics are more likely to share information related to the circular economy with stakeholders and that these firms are also well-connected with those stakeholders, resulting in increased trust and engagement. This, in turn, contributes to the social sustainability of supply chains. Our research has made a significant contribution by encouraging a theoretical debate regarding the willingness to share information regarding the circular economy and the social sustainability of the supply chain.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2833,

title = {The effect of corporate ethical responsibility on social and environmental performance: An empirical study},

author = {Surajit Bag and Gautam Srivastava and Shivam Gupta and Uthayasankar Sivarajah and Natalie Victoria Wilmot},

url = {https://www.sciencedirect.com/science/article/pii/S0019850124000166},

year  = {2024},

date = {2024-02-01},

journal = {Industrial Marketing Management},

volume = {117},

pages = {356-370},

abstract = {In the field of business-to-business marketing, corporate ethical identity and corporate brand identity are crucial subjects for discussion. Business organizations function under social norms, and to establish an ethical identity, they must show corporate ethical responsibility, embrace ethical standards, and maintain open communication with suppliers. While an organization's reputation is impacted by the absence of an ethical identity, its financial success is unaffected. Extant literature has not thrown a spotlight on social and environmental performance which indicates that less focus has been given by academics than by practitioners. To fill the lacuna in the existing literature, this study examines the relationships between corporate ethical identity, corporate brand identity, social and environmental performance. The study uses a deductive research approach and develops hypotheses which are further tested using variance based structural equation modeling. The study offers a distinctive contribution to ethics theory and stakeholder theory by showing that developing an ethical identity requires more than just adhering to moral guidelines and upholding open communication. Companies must show that they are ethically responsible towards society. The study provides evidence of the influence corporate brand identity has on environmental and social performance. The findings can be useful in developing business-to-business marketing strategies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chiarini_2885,

title = {Using green human resource management practices to achieve green performance: Evidence from Italian manufacturing context},

author = {Andrea Chiarini and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3724},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

abstract = {The effect of green human resource management (GHRM) practices on employees' environmental engagement, attitudes, and behaviors is well-known. What is less known is which GHRM practices can have a positive influence on achieving green performance through the mediating role played by people's engagement. To address the research gaps, this study used mixed-method research design. In Phase 1, this study focused on the advanced manufacturing context of Italy by surveying 540 managers to develop a multiple regression model and test six different GHRM practices as the hypotheses. In Phase 2, qualitative data analysis was analyzed. Our findings highlighted that GHRM practices connected with awards and compensations did not affect green performance. Conversely, a correlation was observed between achieving green performance and practices such as training, aligning management with the company's strategic environmental goals and objectives, involving managers in the process of defining the goals and objectives, and the green reputation of the company and the managers who can act as environmentally responsible leaders. This study extends social exchange theory and opens new avenues for further research and proposes several practical suggestions for practitioners.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{patil_2417,

title = {Examining the interactions among smart supply chains and carbon reduction strategies: To attain carbon neutrality},

author = {Anchal Patil and Vipulesh Shardeo and Ashish Dwivedi and Md. Abdul Moktadir and Surajit Bag},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3547},

year  = {2024},

date = {2024-02-01},

journal = {Business Strategy And The Environment},

volume = {33},

number = {2},

pages = {1227-1246},

abstract = {Rapid industrialization and global supply chains have magnified industrial activities' carbon footprint, resulting in environmental hazards. Several countries have magnified their efforts to reach carbon neutrality goals. The increased attention to carbon-neutral goals has been enabled by United Nations (UN) calls for a carbon-neutral economy. In this context, supply chains will have greater responsibilities to reduce the network's carbon footprint. To achieve carbon neutrality goals, decision-makers must be well-informed and facilitated with suitable theoretical frameworks. In literature, the adoption of intelligent technologies is suggested to construct efficient and smart supply chains. However, there are uncertainties regarding the impact of this transformation on the carbon neutrality goal. The present study caters to the uncertainties by discussing its potential impact on carbon neutrality goals and how to use adopted technologies to achieve the same. A list of 11 potential strategies is identified and modelled to provide a strategic roadmap for smart supply chains' adoption. The proposed framework aims to facilitate carbon neutrality goals. The findings indicate that decision-makers must pay significant attention to circular economy practices. Additionally, green transportation is an impactful area with significant potential to support carbon neutrality goals. Critical insights have been extracted regarding stakeholders' training and process innovation. The study findings can help decision-makers achieve carbon neutrality goals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{srivastava_2832,

title = {Exploring the Potential of Large Language Models in Supply Chain Management: A Study Using Big Data},

author = {Santosh Kumar Srivastava and Susmi Routray and Surajit Bag and Shivam Gupta and Justin Zuopeng Zhang},

url = {https://www.igi-global.com/article/exploring-the-potential-of-large-language-models-in-supply-chain-management/335125},

year  = {2024},

date = {2024-01-01},

journal = {Journal Of Global Information Management},

volume = {32},

number = {1},

pages = {1-29},

abstract = {This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2836,

title = {Unveiling the impact of carbon-neutral policies on vital resources in Industry 4.0 driven smart manufacturing: A data-driven investigation},

author = {Surajit Bag and Muhammad Sabbir Rahman and Sneha Ghai and Santosh Kumar Srivastava and Rajesh Kumar Singh and Ruchi Mishra},

url = {https://www.sciencedirect.com/science/article/pii/S0360835223008227},

year  = {2024},

date = {2024-01-01},

journal = {Computers & Industrial Engineering},

volume = {187},

pages = {109798},

abstract = {The study aims to empirically examine the effect of carbon-neutrality policies on the key resources needed for Industry 4.0 driven smart manufacturing and how these resources can provide a sustainable competitive advantage. The theoretical framework is integrated with the institutional theory and the resource-based view (RBV). The empirical method is used for collecting data through surveys and further covariance-based structural equation modeling is used to test the hypotheses. Findings indicate that carbon-neutral-based government policies have a stronger influence on tangible resources and human skills than intangible resources related to Industry 4.0 driven smart manufacturing. Second, carbon-neutral policy alignment with the firm's sustainability objectives plays a moderating effect on the relationship between carbon-neutral-based government policies and resources (tangible, intangible resources and human skills) for Industry 4.0 driven smart manufacturing. Lastly, the three resources (tangible, intangible resources and human skills) for Industry 4.0 driven smart manufacturing play a critical role in developing firms' carbon-neutral capability and further enhancing operational performance. Managerial implications include investment in advanced digital technologies, developing a strong mindset among employees and supply chain stakeholders, and designing training programs for enhancing smart manufacturing performance to develop carbon-neutrality capability. This study proposes a hybrid theory in the context of carbon neutrality by integrating institutional theory and RBV. This is the first study that examines the effect of carbon neutrality-based government policies on vital Industry 4.0-driven smart manufacturing resources and the indirect effect on carbon neutrality capability and operational performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2884,

title = {Exploring the potential of blockchain-enabled smart contracts for achieving net-zero emissions: An empirical study},

author = {Surajit Bag and Muhammad Sabbir Rahman and Susmi Routray and Santosh Kumar Shrivastav and Soni Agrawal},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bse.3691},

year  = {2024},

date = {2024-01-01},

journal = {Business Strategy And The Environment},

abstract = {A sustainable future entails addressing net-zero emissions, which balances greenhouse gas emissions, thereby mitigating climate change. This study explores the relationship between the information quality, system quality, and service quality of blockchain-enabled smart contracts (BSCs) with collaboration quality to achieve net-zero emissions. The study further explores the role of collaboration quality in influencing the intention-to-use BSC and organizational satisfaction. The study employed the revised DeLone and McLean model and validated it with data from 434 respondents using structural equation modeling. The results validate all the hypotheses derived from the updated DeLone and McLean information system (IS) success model. There exist significant relationships between information quality, system quality, and service quality in the BSCs leading to collaboration quality to achieve net-zero emissions. The study establishes the significant role of collaboration quality which positively impacts usage behavior and organizational satisfaction, mediated by the intention to use. The findings of this study offer insights for organizations and policymakers seeking to harness blockchain for environmental sustainability.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{benabdellah_2835,

title = {Smart Product Design Ontology Development for Managing Digital Agility},

author = {Abla Chaouni Benabdellah and Kamar Zekhnini and Surajit Bag and Shivam Gupta and Sarbjit Singh Oberoi},

url = {https://www.igi-global.com/article/smart-product-design-ontology-development-for-managing-digital-agility/333599},

year  = {2023},

date = {2023-12-01},

journal = {Journal Of Global Information Management},

volume = {31},

number = {8},

pages = {1-34},

abstract = {Digital agility is a critical dynamic capability that is becoming increasingly important in the context of collaborative product development processes (PDPs). This paper aims to address the complexity of today's PDPs by considering various quality aspects including safety, environment, and the entire lifecycle, along with diverse dynamic capabilities such as digital agility and circular economy. The authors employed a semantic web methodology and created an ontology-based knowledge model. The proposed ontology uses Design for X techniques, circular economy, digital agility, and the semantic web under the PDP perspective to increase performance and cooperation between designers and the project team. To validate the ontology, measures for domain ontology evaluation have been used. The paper presents a detailed guide for ontology engineering and evaluation for collaborative smart PDP, which incorporates digital agility as a critical dynamic capability. The proposed ontology can help boost PDP performance and increase customer satisfaction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chatterjee_2420,

title = {Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm},

author = {Sheshadri Chatterjee and Ranjan Chaudhuri and Shivam Gupta and Uthayasankar Sivarajah and Surajit Bag},

url = {https://www.sciencedirect.com/science/article/pii/S0040162523005097},

year  = {2023},

date = {2023-11-01},

journal = {Technological Forecasting And Social Change},

volume = {196},

pages = {122824},

abstract = {There are various kinds of applications of BDA in the firms. Not many studies are there which deal with the impact of BDA towards issues like forecasting, decision-making, as well as performance of the firms simultaneously. So, there exists a gap in the research. In such a background, this study aims at examining the impacts of BDA on the process of decision-making, forecasting, as well as firm performance. Using resource-based view (RBV) as well as dynamic capability view (DCV) and related research studies, a research model was proposed conceptually. This conceptual model was validated taking help of PLS-SEM approach considering 366 respondents from Indian firms. This study has highlighted that smart decision making and accurate forecasting process can be achieved by using BDA. This research has demonstrated that there is a considerable influence of adoption of BDA on decision making process, forecasting process, as well as overall firm performance. However, the present study suffers from the fact that the study results depend on the cross-sectional data which could invite defects of causality and endogeneity bias. The present research work also found that there is no impact of different control variables on the firm's performance.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2834,

title = {Climate change adaptation capability, business-to-business marketing capability and firm performance: Integrating institutional theory and dynamic capability view},

author = {Surajit Bag and Gautam Srivastava and Shivam Gupta and Justin Z. Zhang and Sachin Kamble},

url = {https://www.sciencedirect.com/science/article/pii/S0019850123002110},

year  = {2023},

date = {2023-11-01},

journal = {Industrial Marketing Management},

volume = {115},

pages = {470-483},

abstract = {Drawing on institutional theory and the dynamic capability view, this research explores the relationship between climate change adaptation (CCA) capability and firm performance and the mediating role of the marketing capability of a business-to-business (B2B) firm. To test the theoretical model developed in this study, data are collected from a developed country (Australia) and a developing country (South Africa) using the survey method. The study is important from two perspectives: (a) it is one of the first to analyze the impact of institutional pressures on building CCA capability, and (b) it reveals that marketing capability functions as a partial mediator and aids CCA capability in improving B2B firm performance. The unique contribution of this study is its emphasis on identifying the key elements required for exceptional B2B firm performance amid climate change. The study provides insights into the specific aspects that drive success in this setting by examining institutional pressures and B2B firms' CCA capability, marketing capability, and performance. The study contributes by employing two organizational theories (i.e., institutional theory and the dynamic capability view) to explain the underlying mechanisms underpinning improved B2B business performance amid climate change.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{haq_adnan_2392,

title = {Pricing and green investment strategies for electric vehicle supply chain in a competitive market under different channel leadership},

author = {Ziaul Haq Adnan and Kaustov Chakraborty and Surajit Bag and Ju S. Wu},

url = {https://link.springer.com/article/10.1007/s10479-023-05523-y},

year  = {2023},

date = {2023-08-01},

journal = {Annals Of Operations Research},

abstract = {To reduce carbon emissions and enable sustainable development goals, electric vehicles need to be promoted. As an evolving area of study, significant research gaps exist in the electric vehicle supply chain literature, especially in terms of competition, game structures, decision variables, green investment, etc. This paper considers two competing electric vehicle supply chains with one manufacturer and one retailer under each supply chain. The supply chain members are profit-maximizing in nature. Here, the manufacturers decide on the wholesale price and green level of the product, whereas the retailers or distributors decide on the retail selling price. The market demand is price-sensitive and also positively related to consumers' green awareness and brand reputation of green products. Nevertheless, the green level comes with a price in the form of green investment for the manufacturer. Therefore, the manufacturer makes a tradeoff between the increased revenue due to greener electric vehicle technologies and the associated green investments. This paper derived the optimal decisions for the supply chain following three game-theoretical approaches. Three game scenarios represent the dynamic power structures of the market. The overall results are presented via four propositions and twelve corollaries, along with proofs. Furthermore, numerical simulations have been conducted to gain further insights into the sensitivities of the optimal actions with respect to self-price, competitor price, green level, and green investment. The overall study may assist electric vehicle businesses in having a better understanding of optimal pricing and green investment strategies under a variety of market scenarios.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{bag_2422,

title = {The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events},

author = {Surajit Bag and Muhammad Sabbir Rahman and Gautam Srivastava and Hau-Ling Chan and David J. Bryde},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0925527322001347},

year  = {2022},

date = {2022-09-01},

journal = {International Journal Of Production Economics},

volume = {251},

pages = {108541},

abstract = {Most parts of the world have suffered the negative impacts from extreme weather events, in whatever form they may take. To mitigate such impacts, attention in the operations management literature has focused on how firms build resilience in their supply chains, in order to quickly respond to such events and also to return, as soon as possible, to a business-as-usual state. Prior studies have examined the process of building a supply chain (SC) in different countries, industries and in response to various disruptions, such as the COVID-19 pandemic, whilst, at the same time, calling for further research in different contexts. We respond to these calls by exploring SC resilience ability in the South African mining industry under extreme weather events. We situated our study in the dynamic capability view (DCV) view of the firm. We examined the direct effect of big data and predictive analytics (BDPA) capabilities on SC visibility and the final effects on community and resource resilience. We adopted a sequential mixed methods research design, collecting data from interviews with 10 industry practitioners and from 219 respondents to an online survey. We built and tested our theoretical model using partial least squares structured equation modelling (PLS-SEM). Notable theoretical contributions of our study are that big data enables a more efficient supply chain monitoring system, which, in turn, improves SC visibility. BDPA capability improves a company's ability to make the best use of its available resources. It improves the South African mining industry's dynamic capability, allowing them to adjust their strategies in response to diverse adverse weather conditions. Furthermore, BDPA capability's ability to improve SC visibility is enhanced when there is strong alignment between BDPA strategy and initiatives. Finally, having a high level of SC visibility helps develop community and resource resilience, which are necessary to ensure that firms in the industry fulfil their responsibilities in relation to social sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bag_2421,

title = {Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development},

author = {Surajit Bag and Shivam Gupta and Sameer Kumar},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0925527320302103},

year  = {2021},

date = {2021-01-01},

journal = {International Journal Of Production Economics},

volume = {231},

pages = {107844},

abstract = {Industry 4.0 technologies provide digital solutions for the automation of manufacturing. In circular economy-based models, the resources stay in the system as it experiences one of the 10 R (Refuse, Rethink, Reduce, Reuse, Repair, Refurbish, Remanufacture, Repurpose, Recycle, and Recover) processes. These 10 R processes require the development of advanced manufacturing capabilities; however, 10 R processes suffer from various challenges and can be effectively overcome through Industry 4.0 technological applications. Although literature has indicated the use of various Industry 4.0 technologies, little information is available about firms' views on the degree of Industry 4.0 application in the 10 R based advanced manufacturing area and its ability to achieve sustainable development. The current study aspires to examine how great an effect Industry 4.0 adoption has on 10 R advanced manufacturing capabilities and its outcome on sustainable development under the moderating effect of an Industry 4.0 delivery system. Practice-based view and Dynamic capability view theories are used to conceptualise the theoretical model. The research team statistically validated the theoretical model considering 124 data points that were collected using an online survey with a structured questionnaire. The findings point out that the path degree of Industry 4.0 adoption and 10 R advanced manufacturing capabilities are statistically significant. 10 R advanced manufacturing capabilities are found to have a positive influence on sustainable development outcomes. Industry 4.0 delivery system has a moderating effect on the path degree of I4.0 implementation and 10 R advanced manufacturing capabilities. The study concludes with key take away points for managers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}