Strategic Risk Management: A Proactive Approach to Sustainable Organizational Success

In today’s volatile business environment, characterized by rapid technological advancements, geopolitical instability, and evolving regulatory landscapes, proactive risk management is no longer a mere operational consideration but a strategic imperative for sustained organizational success. This article examines the multifaceted nature of strategic risk management, integrating relevant theories and models to articulate a comprehensive framework for anticipating, mitigating, and leveraging potential threats. Key concepts like risk appetite, risk tolerance, and the application of data analytics will be defined and applied throughout the discussion.

Defining Strategic Risk and its Context: Strategic risks, as opposed to operational risks, represent potential threats that could significantly impede or derail the achievement of an organization’s long-term strategic objectives. These risks often stem from macro-environmental factors, including economic downturns (e.g., recessionary pressures), technological disruptions (e.g., the rise of disruptive technologies), regulatory changes (e.g., new environmental regulations), geopolitical instability (e.g., international conflicts), and shifts in market dynamics (e.g., changing consumer preferences). Understanding the interplay of these factors, often analyzed through frameworks like PESTLE analysis, is fundamental to effective risk identification. Further, understanding the organization’s internal capacity to respond to these threats, as analyzed via SWOT analysis, allows for a comprehensive view of potential vulnerabilities.

Risk Assessment and Prioritization: The foundational element of strategic risk management involves a rigorous assessment of both internal and external factors. This process utilizes a range of techniques, including scenario planning (exploring potential future states) and quantitative risk assessment (assigning probabilities and impacts to identified risks). The application of the risk matrix, which plots the likelihood of an event against its potential impact, enables the prioritization of risks based on their severity. This process allows for the allocation of resources to address the most critical threats first, aligning with the organization’s risk appetite and tolerance.

Defining Risk Appetite and Tolerance: Risk appetite represents the organization’s overall willingness to accept risk in pursuit of its strategic objectives. This is a strategic-level decision reflecting the organization’s culture, industry, and competitive landscape. Risk tolerance, on the other hand, defines the acceptable level of risk for specific projects or initiatives. This distinction is crucial, as it allows for a nuanced approach to risk management, tailoring the response to the specific context of each identified risk. The establishment of clear risk appetite and tolerance levels is essential for consistent decision-making.

Risk Mitigation Strategies and Contingency Planning: Once risks are identified and prioritized, the development of appropriate mitigation strategies becomes paramount. These strategies may involve a range of approaches, including risk avoidance (eliminating exposure to the risk entirely), risk reduction (implementing measures to lessen the likelihood or impact of the risk), risk transfer (shifting risk to a third party through insurance or outsourcing), and risk acceptance (acknowledging the risk and accepting the potential consequences). Contingency planning, involving the development of alternative plans to address potential disruptions, is a critical component of risk mitigation, enhancing organizational resilience.

Leveraging Technology and Data Analytics for Enhanced Risk Monitoring: The integration of advanced technologies and data analytics significantly enhances the effectiveness of risk monitoring. Tools like predictive modeling, utilizing machine learning and statistical techniques, can forecast potential risks, allowing for proactive intervention. Real-time monitoring of Key Risk Indicators (KRIs), coupled with dashboarding and reporting capabilities, provides insights into emerging threats, enabling timely adjustments to risk mitigation strategies. The utilization of big data analytics facilitates a deeper understanding of patterns and trends, improving risk prediction accuracy.

Continuous Monitoring, Review, and Adaptive Management: Strategic risk management is not a static process; it requires ongoing monitoring, review, and adaptation. Regular assessments of risk profiles, incorporating feedback from internal and external sources, ensure that the risk management framework remains relevant and effective in response to evolving circumstances. This continuous improvement cycle aligns with the principles of the Deming cycle (Plan-Do-Check-Act), fostering a culture of learning and adaptation.

Cultivating a Culture of Risk Awareness and Collaboration: A robust risk management framework hinges on a shared understanding of risk across all levels of the organization. Cultivating a culture of risk awareness through training programs, communication initiatives, and open dialogue encourages proactive risk identification and reporting. Cross-functional collaboration, bringing together expertise from diverse departments, ensures a comprehensive view of potential threats and improves the effectiveness of mitigation strategies.

Building Organizational Resilience and Agility: Through proactive risk management, organizations develop greater resilience and agility. The ability to anticipate and respond effectively to unforeseen events enhances the organization’s capacity to adapt to changing market conditions and remain competitive. This fosters a proactive and adaptive organizational culture, allowing the organization to respond effectively to change and even turn potential threats into opportunities.

Conclusion and Recommendations: Strategic risk management is not merely a compliance function but a strategic lever for sustainable organizational success. A well-defined framework, incorporating risk assessment, prioritization, mitigation, and continuous monitoring, enables organizations to navigate uncertainty, enhance their resilience, and seize opportunities for growth. Further research should explore the integration of emerging technologies like artificial intelligence and blockchain into risk management frameworks, as well as the development of standardized metrics for measuring the effectiveness of risk management initiatives. The development of robust organizational cultures that prioritize risk awareness and proactive engagement is crucial to the long-term success of this endeavor.

Strategic Innovation Management: Fostering a Culture of Continuous Improvement

In today’s volatile and uncertain business environment, characterized by rapid technological advancements and shifting consumer preferences, the capacity for adaptive innovation is paramount for organizational survival and sustained competitive advantage. Strategic Innovation Management (SIM) provides a robust framework for organizations to navigate this complexity, fostering a culture of continuous improvement and driving sustainable growth. This article explores the key components of SIM, applying relevant theories and models to illustrate how businesses can leverage its principles for enhanced competitiveness and market leadership. Key concepts such as organizational culture, open innovation, and resource-based view will be defined and applied throughout the discussion.

Defining Strategic Innovation Management: SIM transcends mere invention; it is a strategic process that integrates innovation systematically into an organization’s overarching strategic planning. This entails proactively identifying innovation opportunities aligned with organizational goals, developing and implementing robust strategies to capitalize on these opportunities, and meticulously evaluating their impact. This holistic approach, encompassing all phases from ideation to commercialization and post-launch evaluation, is grounded in the Resource-Based View (RBV), which emphasizes the importance of leveraging unique organizational capabilities for competitive advantage. SIM aims to build and exploit these unique resources, including intellectual property, technological expertise, and organizational culture, to enhance profitability and market share.

Cultivating a Culture of Adaptive Change: A cornerstone of effective SIM is the creation of an organizational culture that embraces change and actively encourages experimentation. This necessitates the development of a psychological safety climate, where employees feel comfortable taking calculated risks, challenging existing paradigms, and proposing novel ideas without fear of retribution. Schein’s model of organizational culture emphasizes the importance of shared values, beliefs, and assumptions in shaping employee behavior. By fostering a culture that values and rewards innovative contributions, organizations attract and retain top talent, boosting creativity and problem-solving capabilities. This alignment between organizational culture and SIM objectives is crucial for attracting and retaining high-potential employees who are drawn to forward-thinking organizations.

The Power of Collaborative Innovation Networks: Successful SIM hinges on fostering robust collaboration across departmental silos and organizational levels. This necessitates the creation of cross-functional teams, bringing together individuals with diverse skill sets and perspectives to leverage collective intelligence. Social Network Theory highlights the importance of strong ties and weak ties in facilitating the flow of information and the generation of novel ideas. Companies like Google and 3M, renowned for their collaborative internal ecosystems, demonstrate the power of integrating diverse perspectives to drive groundbreaking product development and market innovation.

Developing a Robust Innovation Strategy: A well-defined innovation strategy is essential for guiding and focusing innovation efforts. This involves setting clear, measurable goals aligned with the organization’s overall strategic objectives, defining the scope of innovation initiatives, allocating resources strategically (as per the resource allocation theories), and implementing key performance indicators (KPIs) to monitor progress and ensure accountability. This structured approach ensures that innovation efforts are aligned with the organization’s strategic goals, maximizing the return on investment (ROI) and minimizing wasted resources. This aligns with the concept of strategic fit and the importance of aligning innovation with overall business strategy.

Embracing Open Innovation: Extending innovation beyond internal boundaries is crucial for accessing external knowledge and accelerating the innovation lifecycle. Open innovation involves collaborating with external partners – customers, suppliers, research institutions, and even competitors – to co-create value and tap into diverse expertise. This approach, grounded in the principles of knowledge management, leverages external resources and capabilities to enrich the innovation pipeline and enhance market competitiveness. Procter & Gamble’s Connect & Develop program exemplifies the effectiveness of this approach in enhancing product innovation.

Leveraging Technological Advancements: Technology plays a transformative role in SIM. Advanced data analytics, artificial intelligence (AI), and machine learning (ML) can be leveraged to identify emerging market trends, analyze consumer behavior, and develop innovative products and services. These technologies enhance the effectiveness of market research, competitor analysis, and product development, giving organizations a competitive edge. Netflix’s successful use of machine learning algorithms to personalize user recommendations exemplifies how technology can be leveraged to enhance customer experience and drive market leadership.

Employee Empowerment and Ownership: Empowering employees to take ownership of innovation initiatives is vital for fostering a culture of continuous improvement. This involves investing in employee training and development, providing autonomy and decision-making authority, and establishing systems for recognizing and rewarding innovative contributions. Herzberg’s Two-Factor Theory suggests that intrinsic motivators, such as autonomy and recognition, are crucial for driving employee engagement and innovation. Google’s well-known “20% time” initiative demonstrates the power of employee empowerment in fostering innovation and enhancing creativity.

Learning from Failures: A Catalyst for Growth: Failure is an inevitable part of the innovation process. However, organizations that cultivate a learning culture view failures not as setbacks, but as valuable learning opportunities. This necessitates a safe space for experimentation, where employees feel comfortable taking calculated risks without fear of repercussions. This aligns with the concept of organizational learning and the importance of feedback loops in the innovation process. Amazon’s culture of “calculated failures” showcases the transformative potential of learning from setbacks.

Continuous Monitoring and Adaptive Strategies: SIM requires ongoing monitoring and evaluation of innovation initiatives. Tracking KPIs, analyzing the impact of innovation efforts, and gathering feedback from stakeholders enable data-driven decision-making and adaptive strategy adjustments. This dynamic approach allows organizations to remain agile and responsive to evolving market demands, ensuring that innovation efforts remain aligned with overall business objectives. This aligns with the concept of dynamic capabilities and the importance of adaptability in a constantly changing market.

The Indispensable Role of Leadership: Effective leadership is crucial for driving a culture of innovation. Leaders must provide clear direction, inspire and motivate their teams, and actively champion innovation through their actions. Transformational leadership, characterized by vision, inspiration, and intellectual stimulation, is vital for fostering a culture of change and driving innovation initiatives. Leaders must create a climate where employees feel empowered to contribute their ideas and actively participate in the innovation process.

Recognizing and Celebrating Success: Reinforcing the Culture: Publicly acknowledging and rewarding successful innovations, both large and small, is crucial for reinforcing a culture of continuous improvement. This positive reinforcement motivates employees and fosters a sense of accomplishment and pride. This aligns with reinforcement theory and the importance of positive feedback in shaping employee behavior.

Strategic Alliances: Expanding the Innovation Ecosystem: Strategic partnerships can significantly enhance innovation capabilities by leveraging external expertise and resources. Collaborating with external partners expands the innovation ecosystem, providing access to new technologies, markets, and perspectives. This strategic approach allows organizations to accelerate innovation, reduce costs, and increase market reach. This highlights the value of network effects and the power of collaboration in the innovation process.

Cultivating a Long-Term Perspective: SIM is a long-term investment, requiring consistent commitment to research and development (R&D), resource allocation to innovation initiatives, and a sustained focus on continuous improvement. This long-term perspective is essential for building a sustainable competitive advantage and achieving long-term success. This reflects the importance of strategic patience and the long-term nature of building sustainable competitive advantage.

The Crucial Role of Diversity and Inclusion: A diverse and inclusive workforce is essential for fostering creativity and driving innovation. Diverse teams bring together individuals from various backgrounds, skill sets, and perspectives, leading to a wider range of ideas and approaches to problem-solving. This approach aligns with the concept of cognitive diversity and its impact on creative problem-solving. Companies like Microsoft demonstrate the positive impact of diversity and inclusion on fostering a vibrant innovation culture.

Conclusion and Recommendations: Strategic Innovation Management is not merely a set of tools or techniques; it’s a fundamental shift in organizational mindset and culture. By embracing the principles outlined in this article – cultivating a culture of change, fostering collaboration, leveraging technology, empowering employees, and learning from failures – organizations can unlock their full innovation potential and achieve sustained competitive advantage. Further research should explore the impact of specific leadership styles on SIM effectiveness, the role of organizational structure in facilitating cross-functional collaboration, and the development of more sophisticated metrics for measuring the ROI of innovation initiatives. A consistent investment in employee development, the implementation of robust knowledge management systems, and the establishment of clear communication channels are vital for successfully embedding SIM within an organization. The long-term success of any SIM initiative hinges on the unwavering support and commitment of leadership and a shared organizational vision focused on continuous improvement and adaptive innovation.

Strategic Pricing Models: A Comprehensive Analysis

Effective pricing is paramount to a firm’s profitability and sustained competitive advantage. This article examines various strategic pricing models, exploring their underlying economic principles and practical applications within diverse market contexts. We will define key concepts such as cost-plus pricing, value-based pricing, and market-based pricing, illustrating their application with real-world examples.

Cost-Oriented Pricing Models

1. Cost-Plus Pricing: This traditional approach, rooted in cost accounting principles, involves calculating the total cost of production (including direct materials, direct labor, and manufacturing overhead) and adding a predetermined markup percentage to determine the selling price. The markup reflects the desired profit margin and covers administrative expenses and risk. For instance, a manufacturer with a $50 production cost and a 20% markup would set a price of $60. While straightforward, cost-plus pricing fails to consider market demand or competitor pricing, potentially leading to under- or overpricing. This model is particularly suitable for businesses with consistent production costs and limited price competition.

2. Cost Leadership Pricing: This strategy focuses on minimizing production costs to offer the lowest price in the market. Achieving cost leadership often involves economies of scale, process optimization, and efficient supply chain management. Companies pursuing this strategy must balance cost reduction with maintaining acceptable quality and customer service levels. A real-world example would be Walmart’s emphasis on efficient logistics and bulk purchasing to provide lower prices than competitors.

Market-Oriented Pricing Models

3. Competitive Pricing: This approach centers on analyzing competitor pricing strategies. Businesses closely monitor competitors’ prices and position their offerings accordingly – either matching, slightly undercutting, or exceeding competitor prices depending on their value proposition and market positioning. This model is heavily reliant on competitive intelligence and market analysis, requiring a thorough understanding of the competitive landscape. A detailed SWOT analysis could significantly improve its effectiveness.

4. Market-Based Pricing: This model directly considers prevailing market prices for similar products or services. It requires extensive market research to determine the price point that maximizes revenue and market share within the given demand curve. Businesses might use conjoint analysis to understand customer preferences and willingness to pay, guiding their pricing decisions toward maximizing profitability within the market equilibrium.

5. Dynamic Pricing: This flexible model adjusts prices in real time based on various factors such as demand, seasonality, competitor actions, and inventory levels. Airlines and ride-sharing services are prime examples, using sophisticated algorithms to optimize pricing based on real-time data. This approach leverages principles of supply and demand, allowing businesses to capture maximum revenue based on fluctuating market conditions.

Value-Oriented Pricing Models

6. Value-Based Pricing: This approach centers on the perceived value of a product or service to the customer, rather than solely on production costs. It emphasizes the unique benefits, features, and overall customer experience offered by the product. Luxury brands like Rolex utilize this, focusing on brand prestige and perceived quality rather than raw material costs. Understanding consumer utility and willingness to pay are crucial for successful value-based pricing.

7. Premium Pricing: Often employed by luxury brands, premium pricing involves setting high prices to signal exclusivity and high quality. It is based on the understanding that certain customer segments are willing to pay a premium for perceived superior value, craftsmanship, or status. Brand image and customer perception play a pivotal role in the success of this strategy.

Strategic Pricing Variations

8. Skimming Pricing: This involves initially setting a high price for a new, innovative product, targeting early adopters willing to pay a premium for early access. Prices are then gradually lowered as demand from less price-sensitive customers is tapped. This strategy is suited for products with unique features and a strong initial demand. Apple’s iPhone launch exemplifies this approach.

9. Penetration Pricing: Conversely, penetration pricing starts with a low initial price to rapidly gain market share, particularly among price-sensitive consumers. Once a significant market share is secured, the price may be gradually increased. This strategy is commonly adopted by businesses entering new markets or introducing new products to quickly establish a strong customer base.

10. Freemium Pricing: A prevalent model in the digital economy, freemium offers a basic version of a product or service for free, while charging for premium features or functionalities. This attracts a large user base, allowing for conversion of a subset into paying customers. Spotify and Dropbox exemplify this, achieving a balance between free access and paid premium service.

11. Freemium + Upselling: This hybrid model combines freemium with upselling, where free users are offered additional products or services at a premium, expanding the revenue streams. Companies like Salesforce use this extensively, offering a basic CRM platform for free, then upselling advanced features or additional modules.

12. Bundling Pricing: This involves combining multiple products or services into a single package at a discounted price compared to purchasing items individually. This incentivizes customers to purchase more, increasing average transaction value and customer lifetime value. Software companies frequently use this approach, bundling different features and functionalities into varied packages.

13. Psychological Pricing: This strategy manipulates consumers’ perception of price through techniques such as setting prices just below round numbers ($9.99 instead of $10). This tactic leverages cognitive biases, creating a perception of a lower cost. This needs careful application to avoid appearing deceptive.

14. Price Discrimination: This involves charging different prices to different customer segments based on their willingness to pay and other relevant factors. Airlines are a classic example, offering different fare classes (economy, business, first) based on consumer preference for service level and price sensitivity. This strategy requires a deep understanding of customer segmentation and price elasticity.

15. Loss Leader Pricing: A short-term strategy, loss leader pricing involves selling a product at a loss or minimal profit to attract customers and increase sales of other, higher-margin products. This strategy often involves a high-volume sale of the loss leader and strong complementary products. Supermarkets often use this technique to drive traffic.

Conclusion and Recommendations

Optimal pricing strategies are highly context-dependent. Factors such as market structure, competition, production costs, customer demographics, and brand positioning significantly influence pricing effectiveness. A holistic approach that integrates elements of cost, market, and value-based pricing models will likely yield the best results. Further research might explore the effectiveness of integrating AI and machine learning in dynamic pricing models to optimize pricing decisions based on ever-changing market conditions. Continuous monitoring and adaptation of pricing strategies based on feedback and market intelligence is crucial. The success of any pricing strategy depends on its alignment with overall business goals and a comprehensive understanding of the target market.

Reader Pool: What are the ethical considerations of employing price discrimination or loss leader pricing strategies, and how might businesses mitigate potential negative consequences?

Strategic Innovation Management: Cultivating a Culture of Continuous Improvement

In today’s hypercompetitive business environment, adaptability and innovation are not merely advantageous—they are existential necessities. Strategic Innovation Management (SIM) provides a robust framework for organizations to not only survive but to thrive, fostering a culture of continuous improvement and driving sustainable, competitive growth. This article explores the key components of SIM and their contribution to organizational success, drawing upon established organizational behavior and strategic management theories.

Defining Key Concepts: Before delving into the specifics of SIM, it’s crucial to define several key concepts. Strategic Innovation Management refers to the systematic integration of innovation into an organization’s strategic planning and execution. This differs from ad-hoc invention; it’s a deliberate, proactive approach. Organizational Culture encompasses shared values, beliefs, and norms that influence employee behavior and organizational performance. Continuous Improvement, informed by the Kaizen philosophy, emphasizes incremental, iterative progress towards optimal efficiency and effectiveness. Finally, Sustainable Growth denotes growth that is both profitable and environmentally and socially responsible, ensuring long-term viability.

Establishing a Culture of Adaptive Change: A cornerstone of effective SIM is the cultivation of an organizational culture that embraces change as an opportunity rather than a threat. This necessitates a shift from a rigid, hierarchical structure to a more agile and flexible model, drawing upon principles of organizational learning and change management theories. Employees must be empowered to challenge the status quo, propose innovative solutions, and experiment without fear of reprisal. This requires open communication channels, constructive feedback mechanisms, and a leadership team that actively champions innovation and risk-taking, reflecting the principles of transformational leadership.

Fostering Cross-Functional Collaboration: Effective SIM leverages the power of cross-functional collaboration to break down departmental silos and foster a synergistic environment. By bringing together individuals with diverse skillsets and perspectives, organizations can generate more creative and robust solutions, aligning with the principles of resource dependence theory which suggests that organizations seek to manage their dependencies on external resources. This collaborative approach enhances knowledge sharing, problem-solving, and ultimately, innovation output. The application of social network analysis can help organizations visualize and optimize collaboration networks within their structure.

Developing and Implementing a Robust Innovation Strategy: A well-defined innovation strategy is the roadmap for SIM success. This involves clearly articulating innovation goals aligned with the overall strategic objectives, defining the scope of innovation initiatives, allocating resources strategically, and establishing measurable Key Performance Indicators (KPIs) to track progress and demonstrate return on investment (ROI). The balanced scorecard framework can be used to effectively measure and monitor innovation performance across various dimensions.

Leveraging Open Innovation and Strategic Partnerships: SIM recognizes the limitations of internal resources and embraces open innovation by collaborating with external partners—suppliers, customers, research institutions, and even competitors. This expands the innovation ecosystem, accelerating the innovation process and accessing a broader range of expertise and resources. The concept of co-opetition, where cooperation and competition coexist, underlines the strategic benefits of such partnerships. The selection of partners can be guided by resource-based view theory, focusing on accessing unique and valuable resources that complement internal capabilities.

Harnessing the Power of Technology and Data-Driven Decision Making: Technology plays a pivotal role in SIM. Data analytics, artificial intelligence (AI), and machine learning (ML) provide valuable insights into market trends, customer behavior, and emerging technologies, enabling data-driven decision-making and the development of more effective innovation strategies. This aligns with the principles of evidence-based management, where decisions are based on data analysis rather than intuition or guesswork. Predictive analytics, in particular, can enhance forecasting and resource allocation for innovation initiatives.

Empowering Employees through Training and Autonomy: Employees are the driving force behind innovation. Organizations must empower their workforce by providing the necessary training, resources, and autonomy to pursue innovative ideas. Job enrichment and empowerment strategies are crucial for fostering creativity and engagement, leading to a more innovative workforce. The expectancy theory suggests that individuals will be motivated to exert effort if they believe their efforts will lead to desired outcomes (e.g., recognition, rewards).

Learning from Failure and Cultivating a Growth Mindset: Innovation is inherently risky; failure is inevitable. Organizations that view failure as a valuable learning opportunity cultivate a more resilient and innovative culture. A growth mindset, as described by Carol Dweck, encourages experimentation and risk-taking, recognizing that setbacks are essential for learning and improvement. Post-mortem analyses of failed projects can identify valuable lessons for future initiatives.

Continuous Monitoring, Adaptation, and Long-Term Vision: SIM is an ongoing process that requires continuous monitoring of KPIs, regular evaluation of innovation initiatives, and adaptability to changing market dynamics. This iterative approach ensures that innovation efforts remain aligned with evolving business objectives. The dynamic capabilities framework highlights the importance of sensing, seizing, and reconfiguring organizational resources to adapt to environmental changes. A long-term strategic perspective is essential for sustained innovation success.

Leadership’s Role in Driving Innovation: Effective leadership is paramount. Leaders must provide clear direction, inspire their teams, and lead by example. Their active support and championing of innovation initiatives are crucial for creating an environment where employees feel empowered to contribute. Transformational leadership inspires and motivates individuals to achieve extraordinary goals.

The Importance of Diversity and Inclusion: A diverse workforce, encompassing various backgrounds, experiences, and perspectives, is a catalyst for innovation. An inclusive environment fosters a richer exchange of ideas, leading to more robust solutions. Diversity management practices should be implemented to ensure fair representation and inclusion within the organization.

Conclusion and Recommendations: Strategic Innovation Management is not a one-time project but a fundamental shift in organizational culture requiring a long-term commitment. Organizations must invest in training, technology, and a supportive culture that empowers employees to contribute innovative ideas. Regular monitoring of KPIs, adaptive strategies, and a commitment to learning from failures are critical for sustained success. Further research could focus on developing more sophisticated models for measuring the ROI of innovation initiatives and on exploring the role of specific leadership styles in fostering innovation within diverse organizational contexts. The impact of SIM on organizational performance can be substantial, leading to increased profitability, market share, and competitive advantage. The applicability of SIM principles extends across various industries and organizational sizes, albeit with adaptations to specific contexts. The successful implementation of SIM requires a holistic approach, encompassing cultural change, strategic planning, technological integration, and a strong leadership commitment.

Reader Pool: How might the integration of specific organizational change management theories enhance the effectiveness of strategic innovation management initiatives within diverse organizational structures?