The platform ecosystem business model: A blueprint for enterprises. Part 1

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Platform ecosystems are defined as open or closed networks where an orchestrator mediates relationships between a diverse set of complementary stakeholders. Orchestrators receive benefit from both accrued value in the platform ecosystem and in barriers to entry that ecosystems create for potential competitors. Platform ecosystems are also defined by a collaborative strategy that aims to create value for all stakeholders, including customers, partners, suppliers, and competitors.

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What’s inside

  1. Platform ecosystem overview
  2. Structure of Platform ecosystem
  3. Platform ecosystem typologies
  4. The rise of ecosystem orchestrator

Platform ecosystem overview

Platform ecosystem business models (platform ecosystem) have evolved in response to expanding business interconnection and complexity. They depart from traditional business models that emphasize internal control and efficiency. They establish and utilize connections with ecosystem stakeholders, who are independent actors, to produce value. They aim to establish a network effect that produces more value than any single entity could provide. Download Complete Research

They, ideally, conduct the following:

  1. Recruit multiple participants. At least one member acts as the orchestrator of the participants.
  2. Provide enterprises a structure for working together.
  3. Leverage the advantages and skills of related enterprises, groups, and participants in the ecosystem.
  4. Remove obstacles from the user journey and create additional value through ease of use.
  5. Enable every participant to use state-of-the-art technologies and systems to fulfil their individual needs.
  6. The orchestrator leverages the total value created by the platform ecosystem to benefit their business model.
  7. All stakeholders in the ecosystem also benefit from the value created by the ecosystem.

Structure of platform ecosystem

The essential elements of ecosystem business models are:

Suppliers(n): Businesses or institutions that provide the materials, components, or logistical support.

Orchestrator(Only one): Coordinates and controls the interactions between various ecosystem participants, such as suppliers and complementors, to add value for customers and foster the ecosystem’s overall growth.

Complementors(n): Offer additional goods or services to the orchestrator’s offers.

Customers(n): End-users or beneficiaries.

Ecosystem platforms rely on network effects to grow and prosper since they boost the platform’s value as more users join and interact with the ecosystem. Network effects create a positive feedback loop that improves the overall value proposition is created as the user base expands and draws in new developers and enterprises to offer their services. Download Complete Research

Platform ecosystem typologies

Today, organizations across industries are exploring the potential of ecosystems to create additional value and minimize capital-intensive internal processes.

The business landscape is now characterized as the “age of business ecosystems,” where enterprises that adopt ecosystems are better positioned to drive innovation and capital efficiency, and thus create more value for customers.

Partnership ecosystem: Partners within an organization work together to realize common objectives, capitalize on one another’s advantages, and co-create value.
Examples: Disney-Marvel, Amazon-Whole Foods Market

Aggregator marketplace ecosystem: A platform-based environment that brings together a variety of suppliers and buyers, facilitating transactions and generating value for all parties.
Examples: Amazon, Airbnb

Growth/expansion ecosystem: This ecosystem gives firms the resources to grow their operations and penetrate new markets. Resources include capital, knowledge, collaborations, and infrastructure.
Example: Uber expanding to Uber eats

Orchestrator ecosystem: A platform or network that facilitates transactions between ecosystem partners. In addition to setting up the infrastructure and tools needed for participants to work together and add value, the orchestrator also defines rules, standards, and protocols.
Example: AWS marketplace

Supply chain ecosystem: Enterprises leverage their existing capabilities (value chain ecosystem) to create an ecosystem of suppliers and partners to support their operations and growth.
Example: Apple’s supply chain ecosystem, Dell’s Direct Model

Community-based ecosystem: Businesses that are create social and environmental impact alongside financial goals.
Examples: Amul, Patagonia

Crowdsourcing ecosystem: Ecosystems that enable individuals to collectively contribute their knowledge, skills, and resources towards solving problems, generating ideas, or completing tasks.
Example: OpenStreetMap, Kickstarter

Technology/Innovator platform-based ecosystem: Ecosystem of interconnected IT resources that can function as a unit. Comprised of suppliers, customers, applications, and third-party service providers.
Example: SAP platform, Apple iOS ecosystem

The Rise of the ecosystem orchestrator

Ecosystem orchestrators create strategic partnerships and alliances to connect companies in a value chain.

They offer products and services that are mostly limited to their original product range and they share customers and data with their partners.

Orchestrators connects various stakeholders and create shared value for an ecosystem community.

They take on the risk, complexity, and challenges of supporting stakeholders. They enable others to create and sell goods and services through their ecosystem platform. They maintain a high level of quality within their ecosystem. Download Complete Research

Their roles are as follows:

  • They create platforms that drive exceptional customer experiences.
  • They define the reference architecture, creating the “true north” for ecosystem participants.
  • They collaborate with their partners to co-create and integrate services that address business issues and deliver valuable outcomes.
  • They ensure they are delivering differentiated customer experiences.

Platform ecosystem business models have proven to be a powerful modality, both for creating value and fostering collaboration among stakeholders.

Niche players in emerging industries may find it challenging to participate in global transactions or initiatives independently, but when positioning themselves within the ecosystem they can leverage the broader ecosystem’s resources or network effect to engage in larger endeavours and expand their customer reach.

Larger enterprises that struggle with agility in producing niche goods can benefit from partnerships with more nimble businesses within ecosystems. They can gain access to specialized knowledge and capabilities that enable them to deploy innovative products to market at speed.

As technology continues to reshape businesses and economies, the importance of platform ecosystem business models are expected to grow. Competent management of platform ecosystems will be a defining characteristic of successful leadership teams. Platform ecosystem owners can enhance their operations and user experience by establishing effective feedback channels. Download Complete Research

Credits
Author@lab45: Poonam Pawar
Contributing Author: Hussain S Nayak

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Business process services in the era of generative artificial intelligence

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Business process services in the era of generative artificial intelligence

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In today's fast-paced business landscape, staying ahead requires more than just keeping up with the latest trends—it demands innovation. This is particularly true in the realm of BPS, where efficiency, accuracy, and adaptability reign supreme. In our latest special report, we delve into the transformative power of GenAI and its profound implications for the future of BPS.

What's Inside

  1. The current state of BPS
  2. How GenAI can solve current BPS challenges
  3. Quantifying the financial impact of GenAI
  4. How GenAI can transform BPS
  5. Addressing GenAI implementation challenges
  6. How to measure the financial impact of GenAI
  7. Current state of GenAI adoption in BPS
  8. How GenAI may reshape the BPS industry
  9. The future: The GenAI-Enhanced evolution of BPS

In today's fast-paced business landscape, staying ahead requires more than just keeping up with the latest trends—it demands innovation. This is particularly true in the realm of Business Process Services (BPS), where efficiency, accuracy, and adaptability reign supreme. In our latest special report, "Business Process Services in the Era of Generative Artificial Intelligence," we delve into the transformative power of Generative Artificial Intelligence (GenAI) and its profound implications for the future of BPS.

Current state of BPS

We analyze the current state of BPS, highlighting its strengths and limitations. Traditional approaches have undoubtedly improved operational efficiency, but they often fall short in handling complex tasks that require nuanced decision-making and adaptability.

Unlocking solutions with GenAI

Enter Generative AI—a game-changer in the world of BPS. We explore how GenAI offers innovative solutions to longstanding challenges, from streamlining repetitive tasks to enhancing decision-making processes. By harnessing the power of machine learning and natural language processing, GenAI empowers organizations to automate workflows, optimize resource allocation, and drive unprecedented levels of efficiency.

GenAI implementation challenges

Navigate hurdles of GenAI adoption with strategies for data governance, technical integration, and fostering a culture of AI acceptance. Our paper equips readers to overcome obstacles, ensuring successful implementation and maximizing the transformative potential of AI in BPS.

Reshaping BPS

We delve into how GenAI is reshaping BPS as we know it. From revolutionizing customer service with chatbots to automating document processing tasks, the potential applications are limitless. By augmenting human capabilities with AI-driven insights, organizations can elevate their BPS capabilities to new heights, unlocking untapped value and gaining a competitive edge in the process.

Measuring financial impact

But how do we quantify the financial impact of GenAI adoption? We explore this question in detail, outlining key metrics and methodologies for assessing ROI. Whether it is through cost savings, revenue generation, or enhanced customer satisfaction, the benefits of GenAI are tangible and far-reaching.

The future of BPS

Looking ahead, we paint a compelling picture of the future of BPS with GenAI at its core. As organizations embrace AI-driven automation and innovation, we envision a landscape where BPS becomes synonymous with efficiency, agility, and strategic value creation. By leveraging GenAI to its fullest potential, businesses can future-proof their operations and thrive in an era of unprecedented digital transformation.

" Business Process Services in the Era of Generative Artificial Intelligence " offers a comprehensive exploration of the transformative potential of GenAI in the realm of Business Process Services. From addressing current challenges to envisioning future opportunities, this paper serves as a roadmap for organizations looking to harness the power of AI to drive meaningful change and unlock new possibilities. Join us on this journey as we redefine the future of BPS together.

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Author@lab45: Ankit Pandey

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Business model handbook for enterprise leaders

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Business model handbook for enterprise leaders

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Think your enterprise can be a leader without a well-thought business? A business model is necessary for you, as an enterprise leader, to scale your ideas, products, and services and sustain them. Here's your roadmap.

What's inside

  1. Which are the business models of the future?
  2. What is significance of business models?
  3. What are types of business models that can be referred to?
  4.  How to develop a business model?
  5. What are successful business models of last decade?

Which are the business models of the future?

Innovative technologies and novel approaches to conventional business practices are expected to drive business models in the future. Platform-based business models powered by AI, cloud computing, and blockchain are predicted to improve efficiency, streamline operations, and create new revenue streams. Immersive technologies and eco-friendly practices in the experience and creator economy enhance user engagement and provide new monetization opportunities. The machine and API economy leverage AI and automation to reduce operational costs and ensure ethical and responsible use. Platform ecosystems are also expected to support innovation and be built around data platforms used by organizations, customers, vendors, and other stakeholders. Download Complete Research

What is significance of business models?

To stay ahead in today's market, enterprises must navigate market dynamics, consumer behavior, and technological advancements. A comprehensive business model is critical to their performance, optimizing operations and generating additional revenue sources. It should identify the target audience, market segment, and describe products or services while developing strategies for marketing and sales, assessing costs, risks, and profitability. Platform-based models powered by AI, cloud computing, and blockchain will streamline operations and create new revenue streams. Innovative technologies and eco-friendly practices will enhance user engagement, providing new monetization opportunities while leveraging AI and automation to reduce costs.

What are types of business models that can be referred to?

Several business models have emerged based on specific business needs, including e-commerce, subscription, freemium, marketplace, franchise, and direct sales. Each model has unique features and advantages and may overlap with other business model features. Choosing a suitable model can help an enterprise to succeed in a competitive market. Based on research by Wipro Lab45, business models can be categorized based on various parameters such as distribution, licensing, target audience, and technology. We have classified them into six broad categories, as listed below. Most enterprises today follow one or a combination of these models based on their strategic priorities, customer preferences, market demand, and profitability. The categories mentioned are not exclusive but are the most popular. Download Complete Research

How to develop a business model?

Business model strategy refers to the design and development of the business model to create, deliver, and capture value for its customers, while achieving its overall enterprise goals and objectives. Enterprise can create a business model plan that considers all its main business model components, aligns with its aims and objectives, and changes with the market over time by following the eight phases stated below, with interactive and incremental models.

What are successful business models of last decade?

Enterprises that have thrived in the last decade have embraced novel methods to create value and gain a competitive edge. One such method is the ecosystem business model built on a digital platform. Successful ecosystem business models are founded on mutual benefit, co-creation, and collaboration. By focusing on these elements, companies can build a healthy ecosystem that delivers unique value propositions and promotes sustainable growth. Amazon and Airbnb are good examples of prosperous business ecosystems that have used these success criteria. By leveraging technology and data, successful firms have improved efficiency, created new revenue sources, and maintained a competitive edge... Download Complete Research

Credits
Author@lab45: Hussain S Nayak, Poonam Pawar

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