Linking business model design and operational performance: The mediating role of supply chain integration
پیوند دادن طراحی مدل تجاری و عملکرد عملیاتی: نقش واسطه ای ادغام زنجیره تأمین-2021
Despite the increasing interest in the role of business model design (BMD) in improving performance, its in- fluence on operational performance remains unexplored, as do the underlying mechanisms of such effects. Drawing on dynamic capability theory, we propose that supply chain integration (SCI), including external integration and internal integration, mediates the relationship between BMD and operational performance. Matched survey data and objective performance data were collected from 131 Chinese manufacturing firms in three waves to test our research model. The key results are that external integration fully mediates the effect of novelty-centered BMD on operational performance, and efficiency-centered BMD directly improves operational performance. Theoretical and practical insights on how BMD and SCI can be leveraged to support operational performance are discussed.
Keywords: Business model design | Supply chain integration | Operational performance | Dynamic capability theory
Machine learning: Best way to sustain the supply chain in the era of industry 4:0
یادگیری ماشین: بهترین راه برای حفظ زنجیره تأمین در عصر صنعت 4:0-2021
With the rapidly growing importance in the industries on the adaptation of advanced technologies, the involvement of IT-enabled systems has increased in developing the pathway for the future industry. The learning’s from these technologies becomes paramount for the present industries which gives a sense of belongingness and significance of the industry towards the market. The digital revolution world-wide affected the physical happenings of the events in the manufacturing industries such as the procurement, manufacturing/assembling & distribution of goods. This digital reformation is known as Industry 4.0 which generally means the advancement in the existing business models where all the business operations are interconnected with each other by digital mode (virtual representation based on operations). In this kind of environment, it is being necessary to map all the operations digitally in such a manner so that the physical flows of resources/goods will not suffer at any stage. Machine learning in the present scenario is one of the thrust areas for the researchers and the practitioners. The output in the machine learning process is having many dependencies on the input data such as the functions and characteristics imparted to the machine at the earlier stage. The present paper aptly reflects the thoughts and reflections of present-day industries and the opportunities to express feelings, thoughts, and contribute towards the future industries.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering.
Keywords: Machine Learning (ML) | Supply Chain (SC) | Industry 4.0 | Resources utilization | Digital transformation
Implications of green optimism upon sustainable supply chain management
پیامدهای خوش بینی سبز بر مدیریت پایدار زنجیره تأمین-2021
In recent years, managers have increasingly integrated sustainability into their business models. However, they might overestimate the premium that average consumers are willing to pay for the environment. In this paper, we formulate a game-theoretical model that illustrates the impacts of green optimism which refers to managers’ optimistic bias about consumer environmental awareness. We consider a sustainable supply chain in which one manufacturer invests in green product development and sells the green product through one retailer. Each firm within the supply chain is operated by one manager who is either realistic or optimistic. Contrary to conventional wisdom, we find that managers’ optimistic bias might discourage investment in green product development. We also find that green optimism is always detrimental to the upstream manufacturer, but might be beneficial to the downstream retailer. Surprisingly, under certain conditions, green optimism can be detrimental to all stakeholders, i.e., firms in the supply chain, consumers, and the environment. This study suggests an interesting link between supply chain management and human resource management; that is, within a sustainable supply chain those managers who are optimistic about the future of green business might be an obstacle to the success of green business.
Keywords: Supply chain management | Sustainability | Optimism | Game theory | Green product development
A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China
چارچوبی برای مدیریت پایدار زنجیره تامین خدمات بستر های نرم افزاری: یک مطالعه تجربی از بخش تدارکات در چین-2021
Platforms have become an effective means of innovation in the logistics sector. However, not all platform-based business models become a success. This research investigates how a platform strategy can lead to a sustainable managed platform service supply chain. Based on analysis of data collected within the logistics sectors in China, the research results propose a structural mapping of a platform service supply chain, which differs from the traditional service supply chain structure. This research develops a sustainable management framework for the platform service supply chain, including three key elements: mutual facilitation between platform and business ecosystem; strategic alignment among the structural elements; and a sustainable element including value co- creation, co-opetition and dynamic configuration. The paper also provides a summary of practical implications to guide practitioners in building a successful platform service supply chain and enacting effective management strategies.
Keywords: Platform | Service | Supply chain | Business ecosystem | Sustainable management
The effects of inter- and intraorganizational factors on the adoption of electronic booking systems in the maritime supply chain
اثرات عوامل بین و درون سازمانی بر پذیرش سیستم های رزرو الکترونیکی در زنجیره تأمین دریایی-2021
Digitalization is currently reshaping business models and providing more opportunities for cross-border supply chains. Maritime transportation occupies a crucial position in the global supply chain and information systems are playing an increasingly important role in the industry. In contrast with information systems used in other industries, interorganizational information systems in the maritime industry may involve a greater number of organizational users, including manufacturers, customers, shipping lines and customs and port authorities from different countries. Therefore, the adoption of container e-booking systems in the maritime supply chain is complex and with limited scrutiny in academia. This study explored the use of e-booking systems in the maritime supply chain and, in particular, the factors influencing the adoption of such systems at the organizational level. The study aimed to close the gap between the general understanding of the adoption of information systems and the adoption of e-booking systems in a specific context, namely the maritime supply chain. We conducted an exploratory multi-case study of eight firms across multiple tiers of the maritime supply chain. We employed a qualitative approach to investigate this issue at the maritime supply chain level, rather than the firm level. The study focused on inter- and intraorganizational factors. The results suggest that adoption is influenced by several factors, including pressure from trade partners, pressure from leading organizations, as well as organizational compatibility, and so forth. Furthermore, the identified factors have different levels of impact across organizational tiers in the shipping chain. This study offers insights that are relevant to both researchers and practitioners in the maritime transportation industry and may help to accelerate the digitalization of the industry.
Keywords: E-booking systems | Information systems | Adoption | Maritime supply chain | Inter and intra-organizational factors
Enablers, levers and benefits of Circular Economy in the Electrical and Electronic Equipment supply chain: a literature review
Enablers, levers and benefits of Circular Economy in the Electrical and Electronic Equipment supply chain: a literature review-2021
Circular Economy in the Electrical and Electronic Equipment (EEE) supply chain has a signiﬁcant (and still unexploited) potential. This paper aims to systematically review the knowledge emerging from the literature at the intersection between Circular Economy and the EEE supply chain, with a special focus on enablers, levers, and their potential environmental, economic and social beneﬁts. An original framework is developed to categorise Circular Economy enablers, levers and potential beneﬁts. Companies in the EEE industry aiming to implement Circular Economy can exploit several enablers (grouped into digitalization, government intervention, and users’ active role) and levers (grouped into circular product design, ser- vitised business models, and supply chain management) to generate economic, environmental and social beneﬁts. Based on the framework, 115 articles were scrutinised. The analysis led to the deﬁnition of a research agenda, with policy and industry implications. To advance Circular Economy research in the EEE supply chain, future studies should address: (i) the enabling role of digitalization, particularly within blockchain, 3D Printing, augmented and virtual reality; (ii) design strategies focused on ‘reduce’; (iii) servitised business models based on result-oriented offerings; (iv) collaboration in the EEE supply chain;(v) the assessment of social and economic beneﬁts to users. Future research should also investigate the systemic interrelations between enablers, levers and beneﬁts.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Circular economy | Sustainability | Circular supply chain | Digitalization | Benefits | EEE
Research on the policy route of China’s distributed photovoltaic power generation
تحقیق در مورد مسیر سیاست تولید انرژی فتوولتائیک و توزیع شده در چین-2020
The distributed photovoltaic power generation is an important way to make use of solar energy in cities. China issues a series of policies to support the development of distributed photovoltaics in law, electricity price, grid connection standard, project management, financial support and so on. However, there are still some defects in policies and market mechanism. China creates a competitive market with a significant number of projects of distributed photovoltaic power through the reform of the electricity market, yet substantial drawbacks of the corresponding investment subsidies prevent distributed photovoltaic power from rapidly developing. This paper summarizes the status quo of China’s distributed photovoltaic power development, given its long-term plan, presents excellences and shortcomings of the existing policy system, and looks into the supporting policies and implementation paths for China’s distributed photovoltaic power in different stages. Innovative business models and financial support models are conducive to the development of distributed photovoltaic power. Financial innovation methods such as crowd funding and asset securitization should be encouraged to develop a sound risk assessment mechanism for projects, involve insurance institutions, and establish a risk sharing mechanism. In the context of a series of supporting policies, the distributed photovoltaic power in China will move towards market-oriented standardization for a healthier and more stable development.
Keywords: Distributed photovoltaic power | Electricity price | Policy route | Development strategy
Exploring the growth challenge of mobile payment platforms: A business model perspective
بررسی چالش رشد سیستم عامل های پرداخت تلفن همراه: چشم انداز مدل کسب و کار-2020
The power of platform business models has grown as our economies become increasingly digital, but how companies address the challenge of platform growth to achieve a critical mass of users remains unclear. In this study, we take a business model (BM) perspective to understand how mobile payment platform providers go about addressing such a challenge. We studied how mobile payment providers engaged in innovation of their business models, and thus identified three pertaining aspects: rethinking the relationship management with retailers, creating partnerships with other actors in the payment ecosystem to complement and deliver the proposed value, and integrating and using front-end mobile technology. Furthermore, our study suggests that mobile payment providers need to adapt their role within the ecosystem to scale the platform, and that it will depend on their choice of scope of geographic availability. Finally, we suggest that mutual adaptation of BMs of platform-as-sociated actors leads to improved diffusion of the platform offer, which also hints at the need for researchers to revisit innovation diffusion and technology adoption theories by acknowledging the importance of the BM of the offer side of technology.
Keywords: Business model | Case study | Digital transformation | Fintech | Mobile payment | Platforms
How Entrepreneurs make sense of Lean Startup Approaches: Business Models as cognitive lenses to generate fast and frugal Heuristics
چگونه کارآفرینان رویکردهای راه اندازی ناب را احساس می کنند: مدل های کسب و کار به عنوان لنزهای شناختی برای تولید اکتشافی سریع و مقرون به صرفه-2020
The role of the business model (BM) as heuristics to support entrepreneurial and strategic problem solving at a cognitive level has been hinted at by extant literature, but left largely unexplored as of yet. This study is po- sitioned in the emerging research on the cognitive individual microfoundations of Entrepreneurship and Strategy, and contributes to the discussion of how business models are used as heuristics, in the novel and relevant setting of Digital Entrepreneurship. We conducted a multiple case study on three digital startups that applied the emerging Lean Startup Approaches (LSAs) and embody technological development in their value proposition. We found that digital entrepreneurs applying LSAs as a systematic process to validate their business ideas rely on business models as cognitive lenses to make sense of LSAs and translate abstract guidelines into fast and frugal heuristics, in order to ‘make do’ with cognitive resource scarcity. These BM-generated heuristics in turn help entrepreneurs in the activities of: (i) making sense of entrepreneurial opportunities; (ii) formulating falsifiable hypotheses concerning their startups’ viability; (iii) filtering, selecting and organizing fuzzy and in- complete external and internal information; (iv) designing multidimensional customer experiments and tests revolving around the notion of value, through Minimum Viable Business Models (MVBMs); (v) prioritizing these experiments and tests to validate their early BM through analogical arguments; and (vi) processing the learning they obtain from experiments, and concretizing it in the form of BM pivots. We also provide empirically-driven insight on an integrative set of cognitive processes – namely (1) cognitive imprinting, (2) common language transfer; (3) attention intensity and (4) scientific and experimental cognition – that mold and blend together the BM-generated heuristics and explain how they are learnt, transferred, enacted, and how they persistently enablea cognitive transition to the application of a scientific method to Entrepreneurship based on more sophisticated experiments and metrics.«Non sunt multiplicanda entia sine necessitate» (Entities are not to be multiplied without necessity)William of Ockham (c. 1287–1347)
Keywords: Business Model | Heuristic | Lean Startup Approaches | Microfoundations | Entrepreneurship | Experimentation | Digital Entrepreneurship | Scientific method
Precision livestock farming, automats and new technologies: possible applications in extensive dairy sheep farming
دامداری دقیق ، اتومات و فناوری های جدید: کاربردهای احتمالی در دام گسترده تولید گوسفند شیری-2020
Precision livestock farming (PLF) technologies are becoming increasingly common in modern agriculture. They are frequently integrated with other new technologies in order to improve human–livestock interactions, pro- ductivity and economical sustainability of modern farms. New systems are constantly being developed for concentrated farming operations as well as for extensive and pasture-based farming systems. The development of technologies for grazing animals is of particular interest for the Mediterranean extensive sheep farming sector. Dairy sheep farming is a typical production system of the area linked to its historical and cultural traditions. The area provides roughly 40% of the world sheep milk, having 27% of the milk-producing ewes. Developed countries of the area (France, Italy, Greece and Spain – FIGS) have highly specialized production systems improved through animal selection, feeding techniques and intensiﬁcation of production. However, extensive systems are still practiced alongside intensive ones due to their lower input costs and better resilience to market ﬂuctuations. In the current article, we evaluate possible PLF systems and their suitability to be incorporated in extensive dairy sheep farming as practiced in the FIGS countries. Available products include: electronic identiﬁcation systems (now mandatory in the EU) such as ear tags, ruminal boluses and sub-cutaneous radio-frequency identiﬁcation; on-animal sensors such as accelerometers, global positioning system) and social activity loggers; and stationary management systems such as walk-over-weights, automatic drafter (AD), virtual fencing and milking parlourrelated technologies. The systems were considered according to their suitability for the management and business model common in dairy sheep farming. However, adoption of new technologies does not take place immediately in small and medium scale extensive farmer. As sheep farmers usually belong to more conservative technology consumers, characterized by average age of 60 and a very transparent community, dynamics which does not favor ﬁnancial risk taking involved with new technologies. Financial barriers linked to production volumes and resource management of extensive farming are also a barrier for innovation. However, future prospective could increase the importance of technology and promote its wider adoption. Trends such as global sheep milk economics, global warming, awareness to animal welfare, antibiotics resistance and European agricultural policies could inﬂuence the farming practices and stimulate wider adoption of PLF systems in the near future.© 2020 The Authors. Published by Elsevier Inc. on behalf of The Animal Consortium. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).IThplicationsAs precision livestock farming systems become ever more permanent in modern agriculture, their adoption in extensive farming is gradually taking place. As extensive Mediterranean dairy sheep production holds global importance in agricultural economics, possible solutions and precision livestock farming options could be considered. However, as in many other parts of the world, farmers’ acceptance and openness towards new technologies remains relatively low. Possible developments such as global warming, consumer awareness, global and local economics and European Union policies could change the current status and increase the adoption of precision livestock farming systems in the sector.
Keywords: Extensive farming | Farmers acceptance | New technologies | Precision livestock farming | Sheep