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Recent research conducted by the IBM Institute for Business Value found that 53 percent of organizations will position environmental sustainability as a top business priority by 2024.

The 3000 CEOs in our 2022 CEO study report that the greatest pressure they experience for improved sustainability and transparency now comes from their board, investors and ecosystem partners.

For successful organizations, sustainability is an integral part of the business strategy.

Moving toward a more sustainable enterprise is an opportunity to transform and drive innovation throughout and beyond the organization.

While most organizations now have a sustainability strategy, only 37 percent have aligned sustainability objectives with their business strategies. Leading organizations co-create with ecosystem partners in new ways, creating new business platforms, pursuing innovation and aligning sustainability measures.

Ecosystem partnerships are driving a dramatic change in the nature of business as industries as diverse as banking, automotive and retail are converging in unprecedented ways–and at an unprecedented rate. To learn how leading companies are embracing innovation in ecosystems to drive both value creation and competitiveness, the IBM Institute for Business Value in collaboration with Oxford Economics surveyed 1000 top executives in 19 industries and 29 countries between August and January 2019.

The survey cohort included 250 Chief Executive Officers, 150 Chief Financial Officers, 150 Chief Innovation Officers, 150 Chief Marketing Officers, 150 Chief Operations Officer and 150 Chief Alliance/Partnership Officers.

Analysis revealed that organizations with high engagement in ecosystems generate greater revenues from innovation initiatives. Specifically, revenues tied to innovation were more than 14 percent higher for ecosystem-engaged businesses than their less ecosystem-oriented peers.

The analysis showed that organizations differentiated on four innovation-enabling dimensions are more successful than others in ecosystem innovation. Their winning practices: 10;•9;They lead with platforms for innovating in ecosystems. 10;•9;They create the structures that enable the transformation of ideas into desired customer experiences in ecosystems 10;•9;They establish effective, meaningful measurements for successful innovation in ecosystems. 10;•9;They approach innovation with a collaborative mindset and create an environment of openness that shapes innovative behavior. 10;

The study identified the best practices of the most successful companies, ecosystem innovators. They excel across four innovation dimensions. They build platforms and employ ecosystems to better orchestrate customer experiences. They establish processes to effectively measure innovation within ecosystems in which they operate. They form organizational structures that institutionalize innovation. And they create and promote environments of openness and collaboration

The more recent emergence of advanced digital technologies and the acceleration of process digitization, combined with rising stakeholder expectations, have created an urgent imperative for organizations to embrace open innovation.

The analysis in this paper is based on a survey 2,379 executives representing 24 industries and 26 countries conducted by the IBM Institute for Business Value. IBV researchers used descriptive statistics to understand innovation trends. To understand the role of open innovation for business performance IBV researchers segmented the sample based on two criteria: extent to which the organization sees open innovation as important for their growth strategy and the extent to which they are effective in advancing open innovation.

Ecosystems are key to success with open innovation, creating value opportunities within and across the value chains. 10;

Open and interoperable technologies like hybrid cloud, APIs, blockchain and AI allow for many more ways to create value by unlocking hidden potential in existing relationships.

Open innovation drives growth; new research found that 84 percent of executives think open innovation is important for their future growth strategy.

Beyond its initial hype, and based on original new surveying, this paper explores the impact of metaverse on business in the medium to long-term.

IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 400 C-Suite executives, (CEOs, CIO/CTOs and CMOs) in the U.S. across 25 industries on their investments in metaverse, business cases and outcomes.

Despite the media hype, the majority of investment in metaverse is B2B.

Although the biggest impacts of metaverse are medium to long-term, there are benefits immediately accessible in the short-term.

More success is likely if organizations develop metaverse strategies with ecosystem partners.

Metaverse was extremely fashionable, now far less so. Both extremes are inappropriate. Metaverse, especially as a B2B strategy, has an important role to play in an organizations' strategy.

Many businesses are making investments in metaverse. They should continue.

Metaverse impacts extends beyond B2C applications into the B2B workplace.

This work is completely original, based on new data and analysis that has not been published elsewhere.

Because of its effectiveness, process mining is rapidly becoming ubiquitous. A recent IBM Institute for Business Value (IBV) survey found that 65 percent of organizations report actively using process mining to improve processes. And in partnership with software-as-a-service (SaaS) providers to add even greater insight into their processes, 69 percent compare their organization’s data with other SaaS customers. And as many as 77 percent of supply chain executives say they are at least at the implementation stage of process and task mining.

The IBM Institute for Business Value and APQC, in cooperation with Oxford Economics, surveyed 2,000 C-level executives in first half of 2022 from 13 countries in all major geographies and across 22 industries. The IBV and APQC implemented an in-depth analysis of how organizations use benchmarking and process mining tools, the benefits they gain from use of these tools and how they anticipate using them in the future.

Big data and digital technologies also creates new possibilities for measuring performance and revealing process improvement opportunities through process mining ? a relatively new discipline that applies data science to discover, validate and improve workflows in real time.

By utilizing data from IT systems to create a process model and then examining the end-to-end process, process mining enables root causes of variations from norms to be identified using specialized algorithms, and these insights enable management to see if processes are functioning as intended and identify new opportunities to optimize them.

More recently, the scope of process mining initiatives has widened to encompass more sophisticated mission-critical functions, notably human capital, cybersecurity and sales. Organizations that embrace process mining outperform others across key business measures, including profitability, innovation, agility, customer satisfaction and technological sophistication. 10;

Four management capabilities for successfully operationalizing open innovation are: strategy and culture, ecosystem capability, internal capability and technology enablement. Surveying more than 1,000 executives on current open innovation practices and capabilities, IBM IBV was able to identify how the different operating model capabilities interact and complement each other to drive better innovation and business performance.

To help organizations build and improve their open innovation capabilities, the IBM Institute for Business Value (IBV) partnered with APQC to develop the Ecosystem-Enabled Innovation Maturity Model (EEIMM) - an open standards model encompassing four domain competencies required for successful open innovation. To assess the maturity and benchmark the performance of organizations’ open innovation capabilities, the IBV, in collaboration with Oxford Economics, used the EEIMM to survey over 1000 leaders responsible for open innovation at their organizations.

Four management capabilities for successfully operationalizing open innovation are: strategy and culture, ecosystem capability, internal capability and technology enablement. IBV analysis found that organizations that are more advanced in developing the four building blocks see significantly better performance across key financial and innovation metrics.

For every dollar of investment, the proportion of direct revenue attributed to open innovation is four times higher than for traditional innovation.

Leading organizations are embracing open innovation as a critical component of innovation strategy and investment. They recognize that adopting open innovation yields far greater returns than traditional innovation can. Recent research by the IBM Institute for Business Value (IBM IBV) reveals, for example, that as many as 84 percent of executives now view open innovation as important for their organization’s future growth.

To better understand where the banking industry is heading and how it can thrive in the new environment of converged industries and competition, the IBM Institute for Business Value, in collaboration with Oxford Economics, surveyed 850 banking and financial markets executives across all major geographies and a variety of C-suite roles.

The survey sought answers to three key questions: What impacts are the changing currents around ecosystems, business models and business economics having on banking and other financial services organizations? What strategies are likely to be most successful for banks to adopt over the next few years? What steps can banking leaders adopt today to accelerate their progress toward obtaining a leading competitive position?

Most senior executives surveyed – 72 percent – agree that platform business models – and the ecosystems that underpin them – are disruptive for the banking industry: 70 percent of executives say that platform business models are driving changes in traditional value chains across the industry. 69 percent acknowledge that platforms are disrupting their organization’s own business and operating models.

As many as 79 percent of banking executives globally say that adoption of platform business models will help them achieve sustainable differentiation and competitive advantage with benefits across multiple dimensions. They identify profitability, innovation and access to markets as the top-three areas where platform models can drive advantage.

Visionary banks believe engagement with partners across platforms should increase their commitment to innovation, especially relating to the search for new and more valuable product and service combinations. They realize that radical transformation is required across business and operating models and in the way resources, business processes and technologies are assembled to create value.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This research paper looks at the elements underpinning employee satisfaction and loyalty, as well as how these are related to performance. The questionnaire results revealed that the IT consultant employees were overall satisfied or very satisfied, and in turn were loyal to their current company. This satisfaction drove good job general job performance, but didn’t have the same impact on task performance. Managers are advised to acknowledge and strive to meet the needs of their employees at a human level by deploying empathy and by viewing each individual as being unique, as opposed to just a job role holder.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The Virtual Enterprise model expands potential for extreme digitalization, extended value chains and intelligent workflows, along with new partnership and ecosystem approaches.

Analysis of a new survey of more than 7000 C-suite executives conducted by the IBM Institute for Business Value (IBV) provides new and striking insights into what operational, organizational and cultural environments are most conducive to effective and enduring digital transformation.

The Virtual Enterprise re-imagines how and where work is done, re-evaluating the necessity for physical assets, infrastructure and talent.

The single most important characteristic of the Virtual Enterprise is “openness”, which brings value at three levels: inside the enterprise, with partners outside the enterprise and with the wider ecosystem.

The research found that the high technology adopters who focus on “openness” and “ecosystems” enjoy a 40 percent revenue growth performance premium over their advanced competitors.

Most recent C-suite surveying suggests current applications of generative AI, although hyped, are fragmented and unlikely to yield major financial returns anticipated. Instead, business leaders expect major value from generative AI will be achieved through application of generative AI to innovation: operational innovation, product and service innovation, and most elusive of all, business model innovation.

Findings and analysis presented draws on data from several surveys of C-level executives conducted by IBM Institute for Business Value in collaboration with Oxford Economics during 2023. Each survey focused on the potential of generative AI in a particular business area. The n-count of each survey ranged from 100-3000.

1. Business leaders expect generative AI to build on returns achieved from investments in traditional AI, with 10 percent RoI expected on generative AI investments by 2025. 2. Executives anticipate that generative AI will have most impact when implemented to expand innovation. 3. Specific examples provided for operational innovation, product innovation, and business model innovation

We are still very early in the generative AI development cycle. We have made best efforts to project, but only time will tell for sure.

Business application of generative AI are extremely fragmented. Despite the desire to throw investments at the wall to see what sticks, it is important that leaders take a structured approach to generative AI, focusing on RoI from innovation investments.

To alleviate negative impacts of generative AI, focusing on innovation potential and value maximization is crucial.

This research is based on completely new surveying and data. This papers adds to the sum total of new knowledge in the generative AI domain.