| 1. |
- Kupka, Karel, et al.
(författare)
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Characterizing Business Resilience Using SVM-Based Predictive Modeling
- 2016
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Ingår i: Meeting on Statistics in Business and Industry. - Barcelona, Spain. ; , s. 39-40
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Business resilience has gained prominence, in academia and practice, vis-à-vis the heightened challenges recently faced by organizations, e.g. financial crisis. Developing resilience by thriving or bouncing back from crises yields sound business health in the future.However extant scholarly discussion on predictive modelling of economic resilience is rather limited, while business health studies are mainly limited to bankruptcy failure predictions. These studies mostly utilize financial snapshots (based on only few years data) to construct the predictive models hence are static in nature (Balcaen and Ooghe 2006). Several assumptions underpin these static models, e.g. considering failure as a steady process devoid of organizational history (Appiah et al. 2015, du Jardin and Séverin 2011). Even though, few recent studies (cf. du Jardin and Séverin (2011), Chen et al. (2013) etc.) have designed a “trajectory of corporate collapse” to forecast the changes in firms’ financial health, using various ‘expert systems’ like self-organizing maps (SOM) based upon unsupervised neural network approach, these studies still interpret the findings largely for predicting bankruptcy (a ‘state’) rather than drawing inference on the economic growth or recovery patterns (a ‘trajectory’) of organizations – a key to generate resilience. Neither these studies utilize longitudinal financial data (spanning over many years) to capture the dynamics of corporate history required to build resilience of organizations in reality.In this context, our paper proposes developing a predictive econometric model of business resilience by using ‘expert’ SVM method. The expanded predictor based on financial ratios highlighted by Altman (1968)’s Z-score also takes into consideration the corporate dynamics (first and second derivatives). Historical financial data is gathered from 198 firms representing 26 Dow Jones industrial sectors, and starting from 1960s.Our prediction model achieved comparatively high predictive accuracy of ---- (for a forecasting horizon of ----- years) and is comparable to similar studies. However, the main contribution of the paper is in proposing four archetypical patterns in business health trajectories, derived from the historical hind-sight, defined by tendency-dynamics combinations and is essential to characterize business resilience as follows:Business Health (at T = t+1) = Business Health (T = 0 to t) + Resilience functionThese four typical situations range from the most pessimistic case (tendency = Down, dynamics = Down) to the most promising (Up-Up). The four archetypes can be used to explain four resilience functions, viz. (i): up-up as sustainable resilience, (ii) up-down as short-term resilience, till t = T, (iii) down-up as resilience in near-future, at t = T, and (iv) down-down as lack of resilience.
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| 2. |
- Pal, Rudrajeet, et al.
(författare)
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Open Innovation Business Models in Ambidextrous Clusters : A Multiple Case Analysis
- 2014
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Konferensbidrag (refereegranskat)abstract
- PurposeAmbidextrous firms manage exploration and exploitation intra-organizationally while their strategic interaction with various entities (like universities, venture capitalists etc.) help them develop new technologies, innovative products and processes to build ambidextrous clusters. This creates a platform for open innovation, spinoffs and start-ups regionally for effective handling of financial constraints through synergies and complementarities. So far open innovation has mostly been documented from the context of the focal firm. The paper explores open innovation paradigm from the context of innovative cluster initiatives investigating on how the R&D processes and external value chains are organized, the concerned organizational modes and governance mechanism, and their revenue generation alternatives – thus rendering a business model perspective. The inter-organizational governance also gives an ambidexterity view in terms of management of innovation dynamics and value chain design.Design/methodology/approachTwo SME-based textile cluster initiatives are investigated. Suitable business cases are chosen to conduct qualitative analyses. Data is evaluated from both primary and secondary sources. FindingsFindings show the possibilities of new business model generation in an open innovation paradigm, beyond that of the focal firms. Both the cluster initiatives, Smart Textiles and Clutex, are similar in their funding arrangements and extent of industrial linkages. Differences exist in the governance structures of the innovation value chains. The initiatives in Sweden are mostly driven by single entities while in Czech Republic they are co-managed by a consortium partnership sharing common interest. From the business model perspective, Smart Textiles has multiple roles either as a ‘value creator’, or as service provider, or as an ‘incubator’. Clutex is more of a chartered consortium.Research implications/limitationsThe research shows the possibilities of new business model generation (apart from that of the focal firm’s) in governing open innovation in collaborative clusters embodying Ferrary’s concept of “ambidextrous clusters”.Practical implications and ValueExploring ambidextrous architectures of innovation value chain and their governance in various clusters in describing collaborative business models can add novelty for many matured and transforming industries as source of competitive advantage and performance improvement through business model innovation.
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| 3. |
- Abylaev, Mansur, et al.
(författare)
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Resilience challenges for textile enterprises in a transitional economy and regional trade perspective : a study of Kyrgyz conditions
- 2014
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Ingår i: International Journal of Supply Chain and Operations Resilience. - : Inderscience Publishers. - 2052-868X. ; 1:1, s. 54-75
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Tidskriftsartikel (refereegranskat)abstract
- This paper aims to contribute to the resilience development of the textile sector in a transitional economy, based on a case study of the Kyrgyz Republic, where the transition to a free market system generated broken supply chains, low diversification, a high open economy level of the textile sector and dependence on international trade regulations. The approach used is based on theories of organisational resilience, literature studies and fieldwork. Scenarios are developed and analysed by event tree and SWOT analysis, to identify resilience properties of the textile sector. Findings focus on the implications of future membership or non-membership, respectively, in the Customs Union of Belarus, Kazakhstan and Russia, where both supportive and adverse effects have been identified. The results contribute to the knowledge of the transitional economy conditions and serve as a guideline for stakeholders about enhancing resilience, both at the industrial and organisational levels, of the Kyrgyz textile sector.
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| 4. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Blockchain-based Framework for Supply Chain Traceability : A Case Example of Textile and Clothing Industry
- 2021
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Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352 .- 1879-0550.
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Tidskriftsartikel (refereegranskat)abstract
- Traceability has emerged as a prime requirement for a multi-tier and multi-site production. It enables visibility and caters to the consumer requirements of transparency and quality assurance. Textile and clothing industry is one such example that requires traceability implementation to address prevailing problems of information asymmetry and low visibility. Customers find it difficult to access product data that can facilitate ethical buying practices or assure product authenticity. Besides, it is challenging for stakeholders to share crucial information in an insecure environment with risk of data manipulations and fear of losing information advantage. In this context, this study investigates and proposes a blockchain-based traceability framework for traceability in multi-tier textile and clothing supply chain. It conceptualizes the interaction of supply chain partners, and related network architecture at the organizational level and smart contract and transaction validation rules at the operational level. To illustrate the application of the proposed framework, the study presents an example of organic cotton supply chain using blockchain with customized smart contract and transaction rules. It finally demonstrates the applicability of the developed blockchain by testing it under two parameters. The proposed system can build a technology-based trust among the supply chain partners, where the distributed ledger can be used to store and authenticate supply chain transactions. Further, the blockchain-based traceability system would provide a unique opportunity, flexibility, and authority to all partners to trace-back their supply network and create transparent and sustainable supply chain.
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| 5. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Blockchain-Based Framework for Traceability – A Case Example of Nonwoven Supply Chain
- 2019
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Ingår i: EDANA-Nonwovens Innovation Academy 2019.
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Konferensbidrag (refereegranskat)abstract
- Supply chain traceability has emerged as a prime requirement for multi-tier supply chains. It not only enables the supply chain visibility but also caters to the consumer requirements related to transparency, quality assurance, and production tracking. Nonwoven supply chain is one such example that particularly requires traceability implementation due to prevailing problems related to information asymmetry and complex supply chain networks. Conversely, it is challenging for supply chain partners to share all the competitive information in the unsecure environment. In this context, in line with Industry 4.0, this study investigates blockchain technology, which uses a shared and secured data infrastructure to keep track of information about assets and requires no central authority to function. It further proposes a blockchain-based traceability framework that explains supply chain partner interaction and network architecture at organizational level and smart contract and transaction validation rules at the operational level. In order to illustrate the application of the framework, the study presents an example of a nonwoven supply chain to track the nonwoven manufacturing and distribution processes. The proposed system can build a technology-based trust among the supply chain actors, where the distributed ledger would be used to store and authenticate of supply chain transactions.
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| 6. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Classification of traceability information in textile and clothing supply chain: A Delphi-based approach
- 2018
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Ingår i: EurOMA 2018 Proceedings.
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Konferensbidrag (refereegranskat)abstract
- The study explores empirically the need and requirement of traceability system in Textile and Clothing (T&C) supply chain. A Delphi based survey was conducted with 28 supply chain experts (industry professionals and academicians) to collect qualitative and quantitative data in order to identify and prioritize various factors that influence traceability adoption in T&C supply chains. Based on these factors the study further explores, classifies and suggests information that can be recorded and shared for a complete traceability among T&C supply chain actors, both business-to-business and business-to-customers.
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| 7. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Exploring secured traceability systems for implementation in textile and clothing supply chain
- 2018
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Ingår i: Proceeding TIWC conference 2018.
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Konferensbidrag (refereegranskat)abstract
- Information asymmetry and security are major challenges in multi-tier supply chains. Textile and clothing (T&C) supply chain is one such example significantly affected by these problems. Due to its complex and diverse nature, involved actors find it difficult to connect and secure each supply chain links. Exploiting this situation, a parallel counterfeit market is flourishing and gaining serious momentum. Due to this, T&C industries are suffering huge economic losses and job cuts. Additionally, owing to its opaque and untraceable supply chain, T&C industries have become a world of unethical practices. Secured traceability is an effective tool that has potentials to address these issues and make the T&C supply chain transparent and secured. It is a useful mechanism to track and trace products’ history, know about the manufacturing conditions and at the same time secure it from counterfeits and attacks targeting intellectual properties. In this context, the study conduct survey of supply chain experts to explore and rank the key technological requirements (based on the specific nature of the textile product) and traceability information that can be recorded and secured by a secured traceability system. Further, based on the findings of the survey a review of the literature was conducted to explore state of the art technologies to propose a primary secured traceability structure for the T&C supply chain.
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| 8. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Towards a secured traceability system for closed-loop textile supply chains
- 2017
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Ingår i: Data Driven Supply Chains. - Nottingham: Centre for Concurrent Enterprise, Nottingham University Business School. - 9780853583196 ; , s. 359-367
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Konferensbidrag (refereegranskat)abstract
- Textile and clothing (T&C) industry is characterised by complex and extensive supply chain involving various stakeholders dealing with diverse raw materials. Owing to these complexities, the textile supply chain is facing numerous challenges like, counterfeit products, limited information sharing, ineffective recycling/reuse of textile products, unethical practices and interrupted information flow. As a result, a secured traceability system that can integrate the whole value chain, record, store, and track / trace all supply chain activities, make it more transparent and at the same time safeguard it from unauthorized access, has become a prime requirement for the T&C industry. In this context, the current study conducts a literature review to identify the generic requirements of traceability and in context of T&C closed-loop supply chain (CLSC). It further evaluates the role and key requisites of a cryptographic tag for textiles product, as an additional measures/parameter to secure the traceability system and prevent unauthorised access. Finally, the paper draws on key characteristics of such cryptographic tag for textile CLSC and lay down the tentative methodology that would be followed in the future research for development of a complete secure traceability system. It is anticipated that such secured traceability system can prevent counterfeits, data leakage, bring transparency and automate the reverse logistic process.
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| 9. |
- Agrawal, Tarun Kumar, et al.
(författare)
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Traceability in Textile and Clothing Supply Chains : Classifying Implementation Factors and Information Sets via Delphi Study
- 2019
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Ingår i: Sustainability. - : MDPI. - 2071-1050. ; 11:06
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Tidskriftsartikel (refereegranskat)abstract
- The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.
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| 10. |
- Aneja, Arun P., et al.
(författare)
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Ambidexterity drivers in plural business models’ (pBMs’) value-structure: an explorative study from DuPont
- 2016
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Ingår i: From Science to Society: Innovation and Value Creation. - University of Cambridge.
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Konferensbidrag (refereegranskat)abstract
- This paper investigates how can ambidexterity be detected and classified in plural business models (pBMs) at the level of their underlying value-structure (value- creation and extraction), and what are the drivers. Such pBMs are run by multi-national firms to accommodate various technologies and innovations however is stressful due to inherent incompatibilities and conflicts between them. Existing scholarly discussion is limited in exploring this issue, from a value generation perspective, essential to identify where to and how to commit resources in these pBMs. The paper builds upon an explorative study of six successful product cases (and their associated business models) from DuPont’s Textiles Fibre Division (DTFD) to show how exploration and exploitation generates resultant trajectories along value- creation and extraction mechanisms, respectively, in a product. Consistent and inconsistent combinations of these trajectories along the value-structure results in four differential drivers of pBMs, viz. (i) technological breakthrough, (ii) market-back technology, (iii) continuous technology, and (iv) continuous market-back, thus characterizing their inherent ambidexterity. These ambidexterity tendencies are along value- creation and extraction mechanisms.
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