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Companies are making substantial investments in placing sensors out in the field and within products and equipment. These Internet-of-Things (IoT) technologies provide an unprecedented opportunity to harness data-driven insights to improve business performance. While the IoT is often framed as a next-generation technology, many businesses already are awash in these data because their existing operational technologies and other equipment generate substantial amounts of data. These data, along with the insights they generate, remain dark-out of sight and unused. Many managers are unaware of the existence and uses of such data. To shed light on the business opportunities afforded by exploiting dark data, this article provides managerial advice and demonstrative case studies in four strategic categories: improving returns on assets, reengaging customers, creating new products and business lines, and transforming business models.

Small and medium-sized enterprises (SMEs) are among the least mature and most vulnerable in terms of their cybersecurity risk and resilience. In this article, we describe a methodology developed using the National Institute of Standards and Technology's (NIST) Cybersecurity Framework (CSF) as a starting point. The NIST CSF does not meet all the needs of the SME IT leader, but it offers a solid foundation for a useful evaluation and recommendation methodology. We propose an SME cybersecurity evaluation tool (CET) that consists of a 35-question online survey to be completed by IT leaders to self-rate their maturity within the five NIST framework categories: identify, protect, detect, respond, and recover. We outline this approach to cybersecurity risk management before discussing its effectiveness and implications for practitioners.

Resist pressure from shareholders and others who seek short-term gains. Instead, build compacts with employees, communities, investors, and other stakeholders that will create long-term shareholder value, benefitting all parties.

The widespread implementation and adoption of digital technologies by organizations has given rise to a massive transformation with the potential to affect many organizations' internal operations and processes. This transformation affects different levels and steps of output creation in companies, which eventually triggers changes in their organizational structures. This article develops an integrated picture on how digital transformation affects organization design by classifying and analyzing the effect on the process of output creation in firms. Based on this picture, it develops and elaborates on potential opportunities and challenges for companies resulting from digital transformation. Finally, it offers recommendations and decisions rules for dealing with these issues.

COVID-19 may hurt innovation because it has reduced knowledge transmission globally. The direct causes include government restrictions on immigration, the dismantling of global value chains, a reduction in travel, and the isolation of knowledge workers in home offices.

Technology silos can wreak havoc on strategic priorities and trigger a cascade of effects throughout an organization. When leaders focus on better communication, with special attention to difficult conversations, organizations can improve collaboration and unlock creative solutions to business problems.

Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G's approach to data management and governance, and reviews the challenges associated with changing long-established work processes within the company. It concludes by exploring four examples of how P&G has applied analytics to its businesses.

The rapid growth of digital technologies and the extraordinary amount of data that devices and applications collect each day are increasingly driving companies to radically transform the business architecture through which they create and appropriate value. However, companies may fail to extract value from digital transformation due to the disconnection between strategy formulation and strategy implementation. Through the analysis of three case studies of firms that digitally transformed their business-namely ABB, CNH Industrial, and Vodafone-this article presents a framework than can help companies implement their digital transformation strategy and thereby renovate their business model.

The Chengdu Research Base of Giant Panda Breeding (Panda Base), located in Chengdu, China, was the world's most popular scenic spot for giant panda tourism. Panda Base was founded in 1987 with a mission that included the protection and breeding of the endangered giant panda, scientific research, public education, and cultural tourism. In 2002, the director of Panda Base began to build panda culture and the panda brand in an effort to resolve low brand awareness and to better protect the giant panda. In 2020, Panda Base promoted the giant panda on various digital media platforms. Based on the concept of Web 3.0, Panda Base integrated the theories of social media marketing, content marketing, and viral marketing to promote panda culture and brand value, and successfully developed its core cultural brand value: "Tell the most touching story of the giant panda." Looking to the future, Panda Base's director wanted to develop a smart tourism project to continue protecting giant pandas and increasing their population with the help of 5G (fifth-generation) technology, while providing tourists with an immersive experience. How can the director best use technology to support and promote Panda Base?

In a 2018 Workforce Institute survey of 3,000 managers across eight industrialized nations, the majority of respondents described artificial intelligence as a valuable productivity tool. But respondents to that survey also expressed fears that AI would take their jobs. They are not alone. The Guardian recently reported that in the UK "more than 6 million workers fear being replaced by machines." AI's advantages can be cast in a dark light: Why would humans be needed when machines can do a better job? To allay such fears, employers must set AI up to succeed rather than to fail. The authors draw on their own and others' research and consulting on AI and information systems implementation, along with organizational studies of innovation and work practices, to present a four-phase approach to implementing AI. It allows organizations to cultivate people's trust--a key condition for adoption--and to work toward a distributed cognitive system in which humans and artificial intelligence both continually improve.

Industrial co-creation projects are often complex and ambiguous, involving high levels of interpretive uncertainty over processes and outcomes. To boost the effectiveness of such projects, firms have increasingly adopted virtual reality (VR) technology and have experienced unique benefits by utilizing digital artifacts - interactive objects in digital environments, such as factory installation layouts or design visualizations. This article provides case evidence demonstrating how VR-enabled digital artifacts support firms to effectively implement tailor-made solutions in robotics and automation projects. The adoption of new digital co-creation practices redefines the traditional customer-provider roles in industrial co-creation, increasing engagement, reducing uncertainty, and improving project outcomes.

Companies that provide traditional products and services can harness IoT sensors and data to create value and generate new revenue through platforms. Before deciding how to proceed, they must assess their ability to collect sensor data, the data's value, and their ability to orchestrate data exchanges among users.

Data exchanges platforms where individuals and organizations voluntarily share data enable third parties to gain insights they couldn't otherwise access, with downstream benefits for consumers. To enhance and capitalize on the value generated, managers must become familiar with the unique features of data as a factor of production.

Managerial and academic literature provide only limited guidance on how to drive the digital transformation of sales. This article presents a model for in-depth analysis of sales processes, goals for each process in terms of effectiveness and efficiency, and a structured set of digital responses. For managers, it provides actionable guidelines on how to drive the digital transformation of sales, a large set of inspiring examples, and an international benchmarking opportunity.

Employees' beliefs about technological change, their "digital mindsets," are likely to influence their engagement in, or withdrawal from, their company's digital transformation initiatives. Employees' beliefs regarding the malleability of personal ability (fixed/growth mindset) and their beliefs about the availability of situational resources (zero-sum/expandable-sum mindset) influence the extent to which they see new technologies as providing opportunities for professional growth or as encroaching on their ability to display competency. This article examines the implications for managing digital transformation.

In late 2019, Dr. Hiroaki Kitano, the president and director of research at Sony Computer Science Laboratories (Sony CSL), had decided he would be stepping down from his position soon. Sony CSL, a small blue-sky fundamental research facility funded by Sony, had always operated on the strength of the trust between Sony's CEO and the lab's director. Sony had been hands-off in its management, leaving Kitano to hire, fire, fund, and evaluate the lab's researchers and project portfolio at his own discretion. Now that he was stepping down, however, he worried that Sony CSL could not withstand his departure. Kitano wanted to make a transparent plan for the organization's future before he handed off Sony CSL to his successor. That plan involved three key decisions. First, what should be the optimal structure and governance of Sony CSL? Should it maintain its independence and autonomy, or should it align more closely with Sony's business priorities? Second, how could Sony CSL scale its impact on Sony and society at large, given its small size? Finally, should Sony CSL establish some standard methods of measuring project success and strength of the portfolio? In making these decisions, Kitano wanted to ensure that he preserved the unique culture that had allowed Sony CSL to pursue path-breaking research and innovation.

Social and political issues in the US health care system, along with near-record employment levels, had led to a high employee turnover rate throughout the industry in 2019. In October, after Brownspeed Health Care, a consultative service, received numerous requests from its clients for assistance, the chief analytical officer was asked to prepare a report on how the company could help its clients address the problem. The first phase of the plan was to use the Consumer Price Index for urban wage earners and clerical workers as part of a low-risk strategy to enhance employee compensation and deploy wide-scale retention strategies and forecasting services.

In less than four years, Easy Flower (EF) grew from an e-commerce flower retail start-up to China's largest supply chain operator in fresh flowers. Easy Flower positioned itself as a provider of quality flowers to retail florists. Taking advantage of its strength in technology talent, and pooling its finances, the company successfully created a national distribution infrastructure network, disrupting and transforming the fractured supply chain system of China's flower industry and dramatically enhancing its supply chain efficiency. Having built an industry leader from scratch, founder Rong Chao had to think about Easy Flower's future strategy. In late 2018, he saw two options: further integrating the flower value chain in China, or internationalizing his business by exporting components of his technology and systems to flower platforms in other countries. Constrained by the company's resources, he had to assess the various risks and requirements that each direction would entail.

The B2B sales process is undergoing substantial transformations fueled by advances in information and communications technology, specifically in artificial intelligence (AI). The premise of AI is to turn vast amounts of data into information for superior knowledge creation and knowledge management in B2B sales. In doing so, AI can significantly alter the traditional human-centric sales process. In this article, we describe how AI affects the B2B sales funnel. For each stage of the funnel, we describe key sales tasks, explain the specific contributions AI can bring, and clarify the role humans play. We also outline managerial considerations to maximize the contributions from AI and people in the context of B2B sales.

This article discusses the digitalization efforts of 26 leading manufacturing firms, the difficulties encountered, and how they can be handled. It shows that many firms are far from ready to benefit from digitalization and are mainly focused on achieving greater efficiency through digitalization rather than pursuing a growth agenda. This imbalance is because of the difficulties related to identifying profitable configurations of competencies, assets, and data generated from digital technologies, orchestrating them, and exploiting them in an agile organization. Practical implications of digitalization are highlighted, specifically in terms of strategies for supporting the current business and embracing long-term digital transformation.